In this paper, an optimized Adaptive Fuzzy LogicController based Proportional-Integral (AFLC-PI) is proposed for Load Fre-quency Control (LFC) for a multi-area system. The proposed controller has thecapability to tune the... more
In this paper, an optimized Adaptive Fuzzy LogicController based Proportional-Integral (AFLC-PI) is proposed for Load Fre-quency Control (LFC) for a multi-area system. The proposed controller has thecapability to tune the Proportional-Integral (PI) controller on the basis of fre-quency error, frequency oscillations and minimize the LFC problem for Photo-voltaic (PV) connected thermal system. Moreover, the Adaptive Fuzzy LogicController (AFLC) response under different real-time load changing conditionsis simulated and analyzed along with the uncertainty in governor and turbinetime-constant. Finally, the comparison analysis with Fuzzy Logic Controllertuned PI (FLC-PI), Genetic Algorithm tuned PI (GA-PI) and Firefly tuned PI(FA-PI) based optimized controllers is carried out.
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The rapid utilization of electricity has forced the stability of the power system for continuous operation. Due to difference in demand and generation, the frequency reference point changes that needs to be restored to its locus point for... more
The rapid utilization of electricity has forced the stability of the power system for continuous operation. Due to difference in demand and generation, the frequency reference point changes that needs to be restored to its locus point for the stable operation of the power system. Therefore, a novel efficient control design is propounded to counter the phenomena of load frequency control. The designing of cascaded fractional model predictive controller coupled with fractional-order PID controller (CFMPC-FOPID) is designed for an efficient response of the power system under load disruption and system parameter variations. The controller is optimized by sooty tern optimization algorithm to identify the optimal parameters of the controller. The controller is tested under power mixing of renewable energy sources (i.e., PV and wind) and under varying load scenarios in multiarea hybrid power system. The proposed controller has effectively handled the frequency disruption under distinct loa...
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The demand for energy is increasing at an abrupt pace, which has highly strained the power system, especially with high share of power generation from renewable energy sources (RES). This increasing strain needs to be effectively managed... more
The demand for energy is increasing at an abrupt pace, which has highly strained the power system, especially with high share of power generation from renewable energy sources (RES). This increasing strain needs to be effectively managed for a continuous and smooth operation of the power system network. Generation and demand exhibit a strong correlation that directly creates an impact on the power system frequency. Fluctuations and disruptions in load frequency can manifest themselves as over-voltages and physical damages in the power grid and, in the worst case, can lead to blackouts. Thus, this paper proposed an effective solution to mitigate the load frequency problem(s), which is initiated by the changing load demand under high penetration of RES. This paper presented an improved cascaded structure, the proportional integral with a fractional operator coupled with proportional derivative PI−FOP+PD. The proposed FOP+PD modifies the (1+PD) controller by introducing fractional prop...
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This research aims to design a modified P&O algorithm for the efficient tracking of maximum power point (MPPT) for standalone and grid-connected systems. The proposed research work modifies the P&O algorithm for the dc-dc converter where... more
This research aims to design a modified P&O algorithm for the efficient tracking of maximum power point (MPPT) for standalone and grid-connected systems. The proposed research work modifies the P&O algorithm for the dc-dc converter where the fixed step size P&O algorithm is translated into variable step size with the help of ant colony optimization (ACO) to generate optimal parameters for the PID controller to generate a variable step size in the P&O algorithm. This variable step size is dependent upon the error that is the difference between the generated power and desired power. By doing this it improves the efficiency of the P&O algorithm and its limitations are overcome. Furthermore, the PV is extended to connect with a grid where the inverter is controlled by a fuzzy logic controller (FLC) so that the combined structure of variable P&O and fuzzy helps to achieve MPP efficiently. The robustness of the proposed work is compared with other state-of-the-art controllers to justify t...
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Vehicle Cruise Control System (VCCS) is used to regulate the speed of the locomotive to a reference speed as desired by the driver. It is mainly used to reduce the driving exhaustion on the driver. This research paper deals with the... more
Vehicle Cruise Control System (VCCS) is used to regulate the speed of the locomotive to a reference speed as desired by the driver. It is mainly used to reduce the driving exhaustion on the driver. This research paper deals with the control of VCCS based on Model Predictive Controller (MPC) in parallel with the conventional PID controller. The results of the proposed control system are compared with the conventional techniques including FLC, GA and ALO based PID controller. Simulation results show that the hybrid combination of MPC and classical PID controller has better outcome with regard to transient state response than numerous published techniques in recent times.
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The shortest path searching algorithms are broadly utilized as an essential part of autonomous agents and navigation systems. As applications get extensively complex, the shortest path calculations implemented via programming produce a... more
The shortest path searching algorithms are broadly utilized as an essential part of autonomous agents and navigation systems. As applications get extensively complex, the shortest path calculations implemented via programming produce a lot of time overhead. In this paper, different path planning techniques are analyzed on the bases of their time effectiveness under dynamic constraints; varying spaces and environments having a different level of complexities. Bi-RRT algorithm is proposed as the most time efficient algorithm in complex environments with high spaces. In addition, the algorithms are tested in different environments and comparison among all simulations results are presented in the form of time and path length.
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Multi-agent flocking means to achieve some common group objectives by interacting with each other. In this paper, an adaptive flocking model is implemented to achieve the consensus of multi-agents. By using this model, consensus can be... more
Multi-agent flocking means to achieve some common group objectives by interacting with each other. In this paper, an adaptive flocking model is implemented to achieve the consensus of multi-agents. By using this model, consensus can be implemented by randomly choosing the initial positions and velocities of the agents. Moreover, by using different graph topologies, the simulation results for 7 agents (N= 7) are demonstrated to ensure the convergence of the agent's average velocity, positions and directions at different iterations.
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The electricity supplied by the utility grid is insufficient to meet all the load requirements due the rising trend of power utilization. For this purpose de-centralized energy generation or Micro-grid technology is used in parallel with... more
The electricity supplied by the utility grid is insufficient to meet all the load requirements due the rising trend of power utilization. For this purpose de-centralized energy generation or Micro-grid technology is used in parallel with the utility grid Energy Management Systems (EMS) in smart buildings and homes are used to control Heating, Ventilation and Air-conditioning (HVAC) systems. Moreover, this system efficiently manage and control the usage of electricity, reduce unnecessary wastage of electrical power and at the same time provide comfort to the occupants of the building up to their desirable level. In this study, various control methods such as PID controllers, fazzy logic controllers and multi-agent control systems are discussed for optimization of electrical energy and comfort features in modern near-zero energy buildings. In addition fuzzy logic and PID controllers for temperature regulation of airconditioning system is also presented.
This paper is presenting an Adaptive Fractional Order PID (AFOPID) controller for PV connected grid system. The proposed controller is designed to harvest maximum power from the PV source. AFOPID controller contain the property of... more
This paper is presenting an Adaptive Fractional Order PID (AFOPID) controller for PV connected grid system. The proposed controller is designed to harvest maximum power from the PV source. AFOPID controller contain the property of conventional PID controller, where the controller contains an adaptive property to optimize gain parameter on the basis of generator and grid side parameter in view. In the suggested work, the AFOPID controller imparted with the characteristic to get tune with particle swarm optimization to track maximum power point tracking, dc link voltage, and current control and quadrature axis modeling. Furthermore, the current control functionalities are performed through an AFOPID, where the controlling parameters are updated by measured error at every instant. The aim of this research is to attain maximum power from the PV source under varying weather conditions with minimum total harmonic distortion, which validate the performance of the proposed controller. The proposed work is compared with, FOPID, FLC, PI, GA and ACO tune FOPID controllers.
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In this paper, an optimized Adaptive Fuzzy LogicController based Proportional-Integral (AFLC-PI) is proposed for Load Fre-quency Control (LFC) for a multi-area system. The proposed controller has thecapability to tune the... more
In this paper, an optimized Adaptive Fuzzy LogicController based Proportional-Integral (AFLC-PI) is proposed for Load Fre-quency Control (LFC) for a multi-area system. The proposed controller has thecapability to tune the Proportional-Integral (PI) controller on the basis of fre-quency error, frequency oscillations and minimize the LFC problem for Photo-voltaic (PV) connected thermal system. Moreover, the Adaptive Fuzzy LogicController (AFLC) response under different real-time load changing conditionsis simulated and analyzed along with the uncertainty in governor and turbinetime-constant. Finally, the comparison analysis with Fuzzy Logic Controllertuned PI (FLC-PI), Genetic Algorithm tuned PI (GA-PI) and Firefly tuned PI(FA-PI) based optimized controllers is carried out.
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This paper introduces a novel genetic optimize multi-control adaptive fractional order PID (AFOPID) for Photovoltaic (PV) and Wind connected grid system. The proposed AFOPID controller is optimized by a genetic algorithm (GA) to... more
This paper introduces a novel genetic optimize multi-control adaptive fractional order PID (AFOPID) for Photovoltaic (PV) and Wind connected grid system. The proposed AFOPID controller is optimized by a genetic algorithm (GA) to initialize the controller parameters. The renewable energy sources are mathematically modeled using multi control approach (MCA). In the proposed work, the MCA involves the maximum power point tracking (MPPT), dc link voltage, and current control and quadrature axis modeling. Furthermore, the current control functionalities are performed through an adaptive approach of AFOPID, where the controlling parameters are updated by measured error at
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This paper presents a new modified variable step size Fractional Order Incremental Conductance (FOIC) with maximum power point tracking using Fractional Order PID controller tuned by bio-inspired Particle Swarm Optimization (PSO) to find... more
This paper presents a new modified variable step size Fractional Order Incremental Conductance (FOIC) with maximum power point tracking using Fractional Order PID controller tuned by bio-inspired Particle Swarm Optimization (PSO) to find optimal gain values of fractional integrator order (λ) and fractional derivative order (μ). The classical incremental conductance and FOIC show drawbacks under changing irradiance, oscillation around maximum power point (MPP) which decreases its convergence speed. To resolve these prone a variable step size FOIC is proposed to achieve an adaptive duty cycle via tuning of FOPID through PSO. The robustness of the proposed technique is judged by its steady-state and dynamic response with fast converges, less response time, overshoot, and ripples under changing environmental conditions. Furthermore, the performance of the proposed technique is evaluated by comparing it with a fixed step size conventional incremental conductance algorithm and FOIC.
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The penetration of renewable energy sources into the conventional power systems are evolving day by day. Therefore, in this paper, a photovoltaic (PV) connected thermal system is discussed and analyzed by keeping PV to operate at maximum... more
The penetration of renewable energy sources into the conventional power systems are evolving day by day. Therefore, in this paper, a photovoltaic (PV) connected thermal system is discussed and analyzed by keeping PV to operate at maximum power point (MPP). The main problem in the interconnection of these systems is load frequency fluctuations due to different load changing conditions. The model predictive controller (MPC) has the ability to predict the target value at real-time with fast convergence. Therefore, MPC is proposed to negate this problem by giving minimum oscillation. The comparison analysis is carried out with other conventional controllers, including genetic algorithm-based PI, firefly algorithm-based PI and PI controller. Simulation results clearly exhibit the outclass performance of MPC over all other controllers.
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The technology has proceeded so much that the power system should be substantial and explicit to give optimal results. Ever-increasing complexities of the power system and load disparity cause frequency fluctuations leading to efficiency... more
The technology has proceeded so much that the power system should be substantial and explicit to give optimal results. Ever-increasing complexities of the power system and load disparity cause frequency fluctuations leading to efficiency degradation of the power system. In order to give a suitable real power output, the system entails an extremely perceptive control technique. Consequently, an advanced control method, that is, an adaptive model predictive controller (AMPC), is suggested for load frequency control (LFC) of the series power system which comprises photovoltaic (PV), wind, and thermal power. The suggested method is considered to enhance the power system execution as well as to decrease the oscillations due to a discrepancy in the system parameters and load disturbance under a multi-area power system network. The AMPC design verifies the constant frequency by maintaining a minimum steady state error under varying load conditions. The proposed control approach pledge that...