Numerical Simulation and Design of Improved Valve Point Loading and PSO Based Economic Load Dispatch for 13 Generator System

Abstract

This paper presents a comprehensive numerical simulation and design study focusing on the improvement of valve point loading and economic load dispatch for a 13-generator system. The primary objective is to optimize the operation of the power system by minimizing the generation cost while considering the valve point loading effect.The proposed methodology combines two key techniques: improved valve point loading (IVPL) and particle swarm optimization (PSO) for economic load dispatch. The IVPL method is employed to alleviate the adverse effects of valve point loading, which can cause inefficient operation and increased wear and tear on the power plant equipment. On the other hand, PSO is utilized to find the optimal allocation of load demand among the generators, considering various constraints such as power output limits and transmission line capacity.To achieve these objectives, a detailed numerical model of the 13-generator system is developed, incorporating realistic parameters, operating characteristics, and constraints. The IVPL technique is integrated into the model to ensure a smooth and efficient operation of the generators, considering the non-smooth and non-convex nature of valve point loading. This approach helps to reduce the operating cost and extend the equipment lifespan by minimizing the number of valve movements and reducing fuel consumption. The economic load dispatch problem is formulated as an optimization problem, with the objective of minimizing the overall generation cost. PSO, a metaheuristic optimization algorithm inspired by the behavior of bird flocking, is employed to search for the optimal solution. The algorithm iteratively adjusts the power generation levels of each generator, considering the total system demand, generator limits, and transmission constraints. By iteratively updating the particle positions and velocities, PSO effectively explores the search space and converges to the optimal solution. The proposed methodology is implemented and tested on a realistic 13-generator system. The simulation results demonstrate the effectiveness of the approach in achieving improved valve point loading and economic load dispatch. The optimized dispatch strategy minimizes the overall generation cost while satisfying the system demand and operational constraints. Moreover, the IVPL technique successfully reduces the valve movements and fuel consumption, thereby improving the reliability and efficiency of the power system operation.

In conclusion, the presented numerical simulation and design study provide a comprehensive framework for addressing valve point loading and economic load dispatch in a 13-generator system. The combination of IVPL and PSO techniques offers an effective solution for optimizing power system operation, enhancing economic efficiency, and prolonging the lifespan of the equipment. The findings of this study have significant implications for power system operators and engineers, providing insights into improved strategies for dispatching power generation in large-scale systems.