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CN111224395A - Power distribution network cooperative operation method oriented to multi-investment subject and multi-element interaction - Google Patents

Power distribution network cooperative operation method oriented to multi-investment subject and multi-element interaction Download PDF

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CN111224395A
CN111224395A CN201911179224.2A CN201911179224A CN111224395A CN 111224395 A CN111224395 A CN 111224395A CN 201911179224 A CN201911179224 A CN 201911179224A CN 111224395 A CN111224395 A CN 111224395A
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distribution network
investment
interactive
load
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刘文亮
梅超
林宇锋
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Sichuan University
Xiamen Power Supply Co of State Grid Fujian Electric Power Co Ltd
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Sichuan University
Xiamen Power Supply Co of State Grid Fujian Electric Power Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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Abstract

本发明公开了面向多投资主体与多元交互的配电网协同运行方法，判断配电网是否有不平衡电量，配电网运营商向各分布式能源投资运营主体发出互动协调信息；各分布式能源投资运营主体根据自身运行特征约束确定互动电量和互动效应；配电网运营商收集各分布式能源投资运营主体返回的互动响应信息并按效益优先级确定响应次序；配电网运营商收集各分布式能源投资运营主体返回的互动响应信息并按效益优先级确定响应次序；配电网运营商按照响应次序确定协同调度计划，剩余不平衡电量为零时，各分布式能源投资主体运营主体按协同交互计划执行调度安排。通过本发明，可以解决多投资主体间的利益分配问题和分布式能源比重不断增大下配电网安全稳定运行问题。

Figure 201911179224

The invention discloses a distribution network cooperative operation method oriented to multiple investment entities and multiple interactions, which judges whether the distribution network has unbalanced electricity, and the distribution network operator sends interactive coordination information to each distributed energy investment and operation entity; The energy investment and operation entities determine the interactive power and interactive effects according to their own operating characteristic constraints; the distribution network operator collects the interactive response information returned by the distributed energy investment and operation entities and determines the response order according to the priority of benefits; The interactive response information returned by the distributed energy investment and operation entities and determine the response order according to the priority of benefits; the distribution network operator determines the coordinated dispatch plan according to the response order. The collaborative interaction plan executes the schedule. The invention can solve the problem of distribution of interests among multiple investment entities and the problem of safe and stable operation of the distribution network under the condition that the proportion of distributed energy sources increases continuously.

Figure 201911179224

Description

Power distribution network cooperative operation method oriented to multi-investment subject and multi-element interaction
Technical Field
The invention relates to the field of power distribution networks, in particular to a power distribution network cooperative operation method for multi-investment subject and multi-element interaction.
Background
Recently, due to energy shortage and environmental crisis in the global scope, distributed energy represented by clean energy such as distributed photovoltaic and distributed wind power in a power distribution network is promoted to be widely applied and rapidly developed. However, the problem that follows is how to effectively deal with the impact and influence of the randomness and the fluctuation of the output of the clean energy to the safe and stable operation of the system, for example, the reverse power flow phenomenon caused by the mismatch of the output time period and the load curve will bring a potential threat to the power flow distribution of the medium-high voltage distribution network. On the other hand, due to the promotion of the market reformation process on the power distribution side, the social capital can be more freely added into the investment of incremental assets of the power distribution network, because of natural zero marginal cost and high national subsidies of renewable energy, more and more investment subjects begin to gradually participate in the pursuit of distributed energy asset investment operation in the power distribution network, but the distribution network can not accurately and effectively predict and estimate the possible power supply capacity of the distribution network due to different characteristic parameters, different geographical distributions, different capacity sizes, different control mechanisms and the like of distributed energy asset equipment which is attributed or operated by different investors, therefore, the power distribution network operator has to consider how to guarantee the benefit of each distributed energy investor to ensure that the distributed energy investor can reliably execute the scheduling plan when making work schedule such as the system scheduling plan. Therefore, research on a cooperative operation method of the power distribution network, which can improve the operation characteristics of the power distribution network and the benefits of distributed energy investors, is urgently needed.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a power distribution network cooperative operation method for multi-investment subject and multi-element interaction, which comprises the following steps:
the method comprises the following steps: judging whether the power distribution network has unbalanced electric quantity, and entering a second step if the power distribution network has unbalanced electric quantity;
step two: the power distribution network operator sends interaction coordination information to each distributed energy investment operation main body;
step three: each distributed energy investment operation main body determines interactive electric quantity and interactive effect according to self operation characteristic constraint;
step four: the power distribution network operator collects the interactive response information returned by each distributed energy investment operation main body and determines the response sequence according to the benefit priority;
step five: the power distribution network operator collects the interactive response information returned by each distributed energy investment operation main body and determines the response sequence according to the benefit priority;
step six: the power distribution network operator determines a cooperative scheduling plan according to the response sequence and calculates the residual unbalanced electric quantity;
step seven: and when the residual unbalanced electric quantity is zero, the operation main bodies of all the distributed energy investment main bodies execute scheduling arrangement according to the collaborative interaction plan.
Further, the power distribution network operator in the second step sends interaction coordination information to each distributed energy investment operation subject, and sends incentive price to each distributed energy investment operation subject before sending the coordination information, wherein the incentive price is obtained by the following formula:
λt＝(1+μt)Υbuy
Figure BDA0002290197810000021
Figure BDA00022901978100000212
Figure BDA0002290197810000022
Figure BDA0002290197810000023
Figure BDA0002290197810000024
wherein, Pt PVGThe total output of the distributed photovoltaic power generation units in the power distribution network in the t time period; pt WTGThe total output of the distributed wind power generation units in the power distribution network in the t period.
Furthermore, the cooperative operation and the interactive response of the power distribution network are realized by three types of distributed energy sources, namely energy storage, flexible load and interruptible load.
Further, the state of charge of the stored energy in the t period is represented as:
Figure BDA0002290197810000025
Figure BDA0002290197810000026
Figure BDA0002290197810000027
Figure BDA0002290197810000028
Figure BDA0002290197810000029
Figure BDA00022901978100000210
Figure BDA00022901978100000211
therein, SOCtThe state of charge of the stored energy in a time period t; pt EESThe absolute value of the power of the stored energy in the t period; capN EESCapacity for stored energy; bt CAnd bt DRespectively representing the 0-1 variable of the charge-discharge state of the stored energy in the t period, 1 represents that the state is effective, and 0 tableIndicating that the state is invalid ηEESCharge-discharge efficiency for energy storage; n is a radical ofmaxC&DThe maximum charge and discharge times allowed in one day for energy storage; t ist CAnd Tt DA set of time periods during which the stored energy is in a charged state and a discharged state within 24 hours; gamma raybuyTime-of-use electricity prices executed for distribution networks; lambda [ alpha ]t maxCAnd λt minDAre respectively at Tt CAnd Tt DThe maximum and minimum distribution network time of day prices within, which need to be updated at each time interval.
Further, the flexible load Pt FLThe actual power usage was determined using the following equation:
Pt FL＝Pt planFL(λt/Υbuy)-ε,Pt minFL≤Pt FL≤Pt maxFL
wherein, Pt planFLPlanned power consumption, epsilon, for flexible loads in time period t>0 is a load elasticity factor, and the larger the value of the load elasticity factor is, the greater the flexibility of the flexible load is; pt minFLAnd Pt maxFLThe minimum and maximum electricity consumption of the flexible load in the period t are distinguished.
Further, said interruptible load Pt SLThe following formula is adopted:
Figure BDA0002290197810000031
πt SL＝1/nSL,t∈Tt SL
wherein, PtotalSLIs the total power demand of the interruptible load during the day; pit SLIs the ratio of interruptible load electric quantity in total required electric quantity in the t period; t ist SLIs a set of interruptible load selectable time periods; n isSLThe number of time periods may be selected for the interruptible load.
Further, the interactive benefits of the two resource investment main bodies of the flexible load resource and the interrupt load resource are respectively as follows:
prt FL＝Pt planFL(1-(λt/Υbuy)-ε)(λt-Υbuy)
prt SL＝ΔPt SL|λt-Υbuy(tshifted)|
wherein, prt FLIs the interactive benefit of flexible load resources; pr (total reflection)t SLIs the interactive benefit of interruptible load resources; t is tshiftedIs a target period during which load shifting can be interrupted.
The invention has the beneficial effects that: the invention not only provides a brief interactive benefit quantification method for distributed energy investors, but also realizes the maximum consumption of renewable energy and the smoothness of a system net load curve through the multi-element interactive response among all distributed energy, thereby providing a method for the benefit distribution problem among multiple investment subjects in market reformation and promotion and the safe and stable operation problem of the power distribution network under the condition that the proportion of distributed energy is continuously increased.
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FIG. 1 is a schematic flow chart of a power distribution network cooperative operation method oriented to multi-investment subject and multi-element interaction;
fig. 2 is an implementation schematic diagram of a power distribution network cooperative operation method oriented to multi-investment subject and multi-element interaction.
Detailed Description
The technical solutions of the present invention are further described in detail below with reference to the accompanying drawings, but the scope of the present invention is not limited to the following.
As shown in figure 1, the invention provides a distributed energy multi-investment subject and multi-element interaction oriented power distribution network cooperative operation method, which mainly comprises a distributed energy investment subject interactive benefit quantification method and a power distribution network cooperative scheduling method based on price incentive.
Because the output upper limit of distributed renewable power generation such as wind power, photovoltaic and the like is completely controlled by natural factors such as real-time wind speed and illumination intensity of the area where the distributed renewable power generation is located, the distributed renewable power generation cannot be scheduled and arranged without operations such as wind abandoning and light abandoning, and the like, the cooperative operation and interactive response of the power distribution network need to be realized by means of three types of distributed energy such as energy storage, flexible load and interruptible load.
In order to maximize the benefit under the constraint of satisfying the maximum charging and discharging times per se, the energy storage needs to perform discharging and charging operations in the peak-valley period of the time-of-use electricity price, so as to earn a certain price difference, and the state of charge (SOC) of the energy storage in the t period is represented as:
Figure BDA0002290197810000041
Figure BDA0002290197810000042
Figure BDA0002290197810000043
Figure BDA0002290197810000044
Figure BDA0002290197810000045
Figure BDA0002290197810000046
Figure BDA0002290197810000047
therein, SOCtThe state of charge of the stored energy in a time period t; pt EESThe absolute value of the power of the stored energy in the t period; capN EESCapacity for stored energy; bt CAnd bt Dη are respectively a variable 0-1 representing the charging and discharging state of the stored energy in the period t, wherein 1 represents the state effective, and 0 represents the state ineffectiveEESCharge-discharge efficiency for energy storage; n is a radical ofmaxC&DThe maximum charge and discharge times allowed in one day for energy storage; t ist CAnd Tt DA set of time periods during which the stored energy is in a charging state and a discharging state within one day (24 h); gamma raybuyTime-of-use electricity prices executed for distribution networks; lambda [ alpha ]t maxCAnd λt minDAre respectively at Tt CAnd Tt DMaximum and minimum distribution network time-of-use electricity prices in the grid, which need to be updated at each time interval;
since the charging and discharging plan made by the investor of the stored energy for pursuing the benefit may slow down or aggravate the peak-valley difference of the power utilization curve, the power distribution network operator will provide a price signal to motivate the investor to participate in the blade interaction coordination operation in order to mobilize the stored energy to participate in the unified scheduling arrangement of the system.
In this case, the energy storage needs to first determine whether the energy storage can participate in the interaction and the corresponding interaction benefit according to the self-constraint conditions listed in equations (1) - (7) and in combination with the price signal provided by the power distribution network operator.
Specifically, assuming that the distribution network operator raises the incentive price for reducing the power usage during a certain period of time,
if the stored energy is in a discharge state within a certain period of time, the stored energy investment operator needs to consider whether the operator has residual capacity to participate in interaction, and if so, the operator has lambdat>λt minDThen the remaining portion of the discharge schedule would be executed ahead of time for this period to gain further benefit;
if the stored energy is in a charging state, the charging cost is higher than lambda due to the periodt maxCSo the energy storage investment operator will plan the charging for this period of time towardsAnd delaying and updating the subsequent charging and discharging plan. Thus, the interactive benefit of the energy storage investment entity can be calculated by the following formula:
Figure BDA0002290197810000051
wherein λ istProviding an interactive excitation price to the energy storage unit for the power distribution network; delta Pt CAnd Δ Pt DRespectively the response charging power and the response discharging power of the stored energy in the t period.
For load power demand, the load power demand can be decomposed into a basic fixed load P according to the controlled flexibility degreeFBLDaily random load Pt FDLFlexible load Pt FLAnd interruptible load Pt SLAnd fourthly, the method comprises the following steps.
The first part is the amount of power supply which must be provided to meet the basic life needs of the user, and can be approximately considered as a constant, such as lighting power consumption, monitoring equipment power consumption and the like;
the second part is a major source of uncertainty in the load, which appears to be constantly changing with the user's daily behavior, and is therefore a random quantity, such as television, elevator, computer power usage, etc.;
the third part refers to a type of controllable load which can be changed within a certain range, the total amount of the controllable load in each time period can be different, but the controllable load can be flexibly adjusted according to instructions, such as the electricity consumption of a thermal control air conditioner;
the last part is a type of load which has a fixed total power consumption in one day but can be flexibly arranged in the power consumption period, such as an intelligent washing machine, an electric automobile and the like. Thus, the demand for electricity during the period t may be expressed as:
Pt ED＝PFBL+Pt FDL+Pt FL+Pt SL(9)
Pt FL＝Pt planFL(λt/Υbuy)-ε,Pt minFL≤Pt FL≤Pt maxFL(10)
Figure BDA0002290197810000052
Figure BDA0002290197810000053
wherein, Pt planFLThe planned power consumption of the flexible load in the period t; epsilon>0 is a load elasticity factor, and the larger the value of the load elasticity factor is, the greater the flexibility of the flexible load is; pt minFLAnd Pt maxFLThe minimum and maximum electricity consumption of the flexible load in the time period t are distinguished; ptotalSLIs the total power demand of the interruptible load during the day; pit SLIs the ratio of interruptible load electric quantity in total required electric quantity in the t period; t ist SLIs a set of interruptible load selectable time periods; n isSLThe number of time periods may be selected for the interruptible load.
After obtaining the incentive price of the time interval from the power distribution network operator, the flexible load resource and interruptible load investment operator determines whether the flexible load resource and interruptible load investment operator can participate in the interactive response according to the formulas (9) to (11) or not.
The flexible load resource determines the actual power consumption according to the response characteristic formula (10) of the flexible load resource, the interactive behavior of the interruptible load resource is similar to the energy storage, the power utilization plan in the period is delayed to be implemented in the period with the lowest power price in the subsequent period after the power distribution network operator increases the incentive power price, and the power utilization plan in the period with the highest power price in the subsequent period is advanced to be implemented in the short time after the power distribution network operator decreases the incentive power price. Therefore, the interactive benefits of the two resource investment subjects are respectively as follows:
prt FL＝Pt planFL(1-(λt/Υbuy)-ε)(λt-Υbuy) (13)
prt SL＝ΔPt SL|λt-Υbuy(tshifted)| (14)
wherein, prt FLIs the interactive benefit of flexible load resources; pr (total reflection)t SLIs the interactive benefit of interruptible load resources; t is tshiftedIs a target period during which load shifting can be interrupted.
In order to improve the operation characteristics of the power distribution network, reduce reverse trend, smooth a net load curve and simultaneously realize optimized scheduling on the basis of guaranteeing the benefits of distributed energy investors and respecting the subjective intentions of the distributed energy investors, a power distribution network operator sends incentive price information to each distributed energy investment operation main body before each interactive coordination, and the power distribution network operator autonomously judges whether to participate in the interactive coordination and corresponding interactive benefits according to the provided information and the self operation characteristic constraint. Considering the inverse proportional relationship between incentive price and supply-demand ratio (SDR), the incentive price used can be calculated by the following formula:
λt＝(1+μt)Υbuy(15)
Figure BDA0002290197810000061
Figure BDA0002290197810000062
Figure BDA0002290197810000063
Figure BDA0002290197810000064
Figure BDA0002290197810000065
wherein, Pt PVGThe total output of the distributed photovoltaic power generation units in the power distribution network in the t time period; pt WTGThe total output of the distributed wind power generation units in the power distribution network in the t period.
Therefore, the power distribution network cooperative operation problem can be constructed into the following double-layer planning model:
Upper:
Figure BDA0002290197810000066
Lower:min|Pt EES+Pt ED-Pt PVG-Pt WTG|for t∈[24d-23,24d]
subjectto:(1)-(20) (21)
in order to meet the actual operation speed requirement of the engineering, the approximate optimal solution of the model is quickly solved by the benefit priority ranking criterion under the cost of solving precision within an acceptable range. In each time interval, after receiving interactive response information and incentive price from a power distribution network operator, each distributed energy investment operation main body determines whether to participate in the interaction according to the operation characteristics of the distributed energy investment operation main body, if so, the corresponding interactive electric quantity and interactive benefit are calculated and returned to the power distribution network operator, but after the power distribution network operator acquires feedback information of all the distributed energy investment operation main bodies, the distributed energy investment operation main bodies which wish to participate in the collaborative interaction are subjected to priority ranking according to the feedback interactive benefits from large to small, then the distributed energy investment operation main bodies respond to the interactive requests in sequence until all the distributed energy investment operation main bodies complete traversal or all unbalanced electric quantities obtain all satisfied positions, and the rest unbalanced electric quantities are still balanced to the medium-high voltage power distribution network.
The foregoing is illustrative of the preferred embodiments of this invention, and it is to be understood that the invention is not limited to the precise form disclosed herein and that various other combinations, modifications, and environments may be resorted to, falling within the scope of the concept as disclosed herein, either as described above or as apparent to those skilled in the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (7)

1.一种面向多投资主体与多元交互的配电网协同运行方法，其特征在于，包括如下步骤：1. a power distribution network collaborative operation method for multi-investment subject and multi-interaction, is characterized in that, comprises the steps: 步骤一：判断配电网是否有不平衡电量，若有不平衡电量则进入步骤二；Step 1: Determine whether there is unbalanced electricity in the distribution network, if there is unbalanced electricity, go to step 2; 步骤二：配电网运营商向各分布式能源投资运营主体发出互动协调信息；Step 2: The distribution network operator sends interactive coordination information to each distributed energy investment and operation entity; 步骤三：各分布式能源投资运营主体根据自身运行特征约束确定互动电量和互动效应；Step 3: Each distributed energy investment and operation entity determines the interactive power and interactive effect according to the constraints of its own operating characteristics; 步骤四：配电网运营商收集各分布式能源投资运营主体返回的互动响应信息并按效益优先级确定响应次序；Step 4: The distribution network operator collects the interactive response information returned by each distributed energy investment and operation entity and determines the response order according to the benefit priority; 步骤五：配电网运营商收集各分布式能源投资运营主体返回的互动响应信息并按效益优先级确定响应次序；Step 5: The distribution network operator collects the interactive response information returned by each distributed energy investment and operation entity and determines the response order according to the benefit priority; 步骤六：配电网运营商按照响应次序确定协同调度计划，并计算剩余不平衡电量；Step 6: The distribution network operator determines the coordinated dispatch plan according to the response order, and calculates the remaining unbalanced power; 步骤七：剩余不平衡电量为零时，各分布式能源投资主体运营主体按协同交互计划执行调度安排。Step 7: When the remaining unbalanced power is zero, the operating entities of each distributed energy investment entity execute the scheduling arrangement according to the collaborative interaction plan. 2.根据权利要求1所述的一种面向多投资主体与多元交互的配电网协同运行方法，其特征在于，所述的步骤二中的配电网运营商向各分布式能源投资运营主体发出互动协调信息，在发出协调信息前先向各分布式能源投资运营主体发送激励价格，所述的激励价格由下式得到：2. The method for coordinated operation of a distribution network oriented to multiple investment entities and multiple interactions according to claim 1, wherein the distribution network operator in the step 2 invests and operates the entities in each distributed energy source. Send out the interactive coordination information, and send the incentive price to each distributed energy investment and operation entity before sending the coordination information. The incentive price is obtained by the following formula: λt＝(1+μt)Υbuy λ t =(1+μ t )Υ buy
Figure FDA0002290197800000011
Figure FDA0002290197800000011
Figure FDA0002290197800000012
Figure FDA0002290197800000012
Figure FDA0002290197800000013
Figure FDA0002290197800000013
Figure FDA0002290197800000014
Figure FDA0002290197800000014
Figure FDA0002290197800000015
Figure FDA0002290197800000015
 其中，Pt PVG为配电网中分布式光伏发电单元t时段的总出力；Pt WTG为配电网中分布式风力发电单元t时段的总出力。Among them, P t PVG is the total output of the distributed photovoltaic power generation units in the distribution network in the period t; P t WTG is the total output of the distributed wind power generation units in the distribution network in the period t. 3.根据权利要求1所述的一种面向多投资主体与多元交互的配电网协同运行方法，其特征在于，所述的配电网的协同运行和交互响应采用储能、柔性负荷和可中断负荷这三类分布式能源来实现。3. The method for coordinated operation of a distribution network oriented to multiple investment entities and multiple interactions according to claim 1, wherein the coordinated operation and interactive response of the distribution network adopts energy storage, flexible load and variable load. These three types of distributed energy are realized by interrupting the load. 4.根据权利要求3所述的一种面向多投资主体与多元交互的配电网协同运行方法，其特征在于，储能在t时段的荷电状态表示为：4. The method for coordinated operation of a distribution network oriented to multiple investment entities and multiple interactions according to claim 3, wherein the state of charge of the energy storage in the t period is expressed as:
Figure FDA0002290197800000021
Figure FDA0002290197800000021
Figure FDA0002290197800000022
Figure FDA0002290197800000022
Figure FDA0002290197800000023
Figure FDA0002290197800000023
Figure FDA0002290197800000024
Figure FDA0002290197800000024
Figure FDA0002290197800000025
Figure FDA0002290197800000025
Figure FDA0002290197800000026
Figure FDA0002290197800000026
 0≤SOCmin≤SOCt≤SOCmax≤1,
Figure FDA0002290197800000027
0≤SOC min ≤SOC t ≤SOC max ≤1,
Figure FDA0002290197800000027
 其中，SOCt为储能在t时段的荷电状态；Pt EES为储能在t时段功率的绝对值；CapN EES为储能的容量；bt C和bt D分别为表征储能在t时段充放电状态的0-1变量，1表示该状态有效，0表示该状态无效；ηEES为储能的充放电效率；NmaxC&D为储能在一天内所允许的最大充放电次数；Tt C和Tt D为储能在24小时内处于充电状态和放电状态的时段集；Υbuy为配网所执行的分时电价；λt maxC和λt minD分别是在Tt C和Tt D内的最大和最小配网分时电价，其在每一个时段都需要更新。Among them, SOC t is the state of charge of the energy storage in the t period; P t EES is the absolute value of the energy storage power in the t period; Cap N EES is the capacity of the energy storage; b t C and b t D represent the energy storage, respectively The 0-1 variable of the charge and discharge state in the t period, 1 means the state is valid, 0 means the state is invalid; η EES is the charge and discharge efficiency of the energy storage; N maxC&D is the maximum number of charge and discharge allowed by the energy storage in one day; T t C and T t D are the set of time periods when the energy storage is in the charging state and discharging state within 24 hours; Υ buy is the time - of-use electricity price executed by the distribution network; The maximum and minimum distribution network time-of-use electricity prices within T t D , which need to be updated every time period. 5.根据权利要求1所述的一种面向多投资主体与多元交互的配电网协同运行方法，其特征在于，所述的柔性负荷Pt FL采用下式确定实际用电量：5. A kind of power distribution network cooperative operation method for multi-investment subject and multi-element interaction according to claim 1, is characterized in that, described flexible load P t FL adopts following formula to determine actual electricity consumption: Pt FL＝Pt planFL(λt/Υbuy)-ε,Pt minFL≤Pt FL≤Pt maxFL P t FL =P t planFL (λ t /Υ buy ) -ε ,P t minFL ≤P t FL ≤P t maxFL 其中，Pt planFL为t时段内柔性负荷的计划用电量，ε>0是负荷弹性因子，其取值越大，柔性负荷的灵活性越大；Pt minFL和Pt maxFL为别为柔性负荷在t时段内的最小和最大用电量。Among them, P t planFL is the planned electricity consumption of the flexible load in the t period, ε>0 is the load elasticity factor, the larger the value, the greater the flexibility of the flexible load; P t minFL and P t maxFL are the flexibility The minimum and maximum power consumption of the load in the period t. 6.根据权利要求1所述的一种面向多投资主体与多元交互的配电网协同运行方法，其特征在于，所述的可中断负荷Pt SL采用下式：6. The method for coordinated operation of a distribution network oriented to multiple investment entities and multiple interactions according to claim 1, wherein the interruptible load P t SL adopts the following formula:
Figure FDA0002290197800000028
Figure FDA0002290197800000028
Figure FDA0002290197800000029
Figure FDA0002290197800000029
 其中，PtotalSL是可中断负荷在一天内的总需求电量；πt SL是t时段内可中断负荷电量在其总需求电量中的占比；Tt SL是可中断负荷可选择的时段集合；nSL为可中断负荷可选择时段的数量。Among them, P totalSL is the total demand power of the interruptible load in one day; π t SL is the proportion of the interruptible load power in its total demand power in the t period; T t SL is the set of time periods that the interruptible load can choose; n SL is the number of selectable periods for interruptible loads. 7.根据权利要求1所述的一种面向多投资主体与多元交互的配电网协同运行方法，其特征在于，柔性负荷资源和中断负荷资源这两类资源投资主体的交互效益分别为：7. A kind of distribution network collaborative operation method oriented to multiple investment subjects and multiple interactions according to claim 1, is characterized in that, the interactive benefits of these two types of resource investment subjects of flexible load resources and interrupted load resources are respectively: prt FL＝Pt planFL(1-(λt/Υbuy)-ε)(λt-Υbuy)pr t FL =P t planFL (1-(λ t /Υ buy )-ε)(λ t -Υ buy ) prt SL＝ΔPt SL|λt-Υbuy(tshifted)|pr t SL =ΔP t SL |λ t -Υ buy (t shifted )| 其中，prt FL是柔性负荷资源的交互效益；prt SL是可中断负荷资源的交互效益；tshifted是可中断负荷转移的目标时段。Among them, pr t FL is the interactive benefit of flexible load resources; pr t SL is the interactive benefit of interruptible load resources; t shifted is the target period of interruptible load transfer.
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