Abstract

Economic dispatch optimization problems with convex or quasi-convex characteristics, subject to equality and inequality constraints, are challenging due to their inherent non-linear nature. These complexities arise from factors such as fuel type, transmission system ramp rate limits, valve point effects, cost fluctuations, and valve point loading (VPL). This paper presents an electromagnetic vector particle swarm optimization (EVPSO) technique to address a range of complex and semi-economic load dispatch problems across different power systems. The method incorporates a phasor-based mechanism to enhance standard particle swarm optimization (PSO) control structures. EVPSO is applied to three system configurations involving fifteen, forty, and one hundred generating units, considering transmission losses without imposing ramp rate constraints. Comparative simulations demonstrate that EVPSO performs effectively, emerging as a reliable approach capable of delivering high-quality solutions for various economic load dispatch (ELD) scenarios. The technique consistently yields promising results across different system sizes and configurations, surpassing conventional methods in handling non-linearities and operational constraints. The development of EVPSO represents a significant advancement in solving complex optimization problems in economic dispatch, highlighting its potential as a robust tool for achieving efficient and dependable energy dispatch across diverse power system environments.

Keywords

Economic load dispatch, Electromagnetic vector particle swarm optimization (EVPSO), Non-linear optimization, Power system operation, Valve point loading.

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