An Improved Symbiosis Particle Swarm Optimization for Solving Economic Load Dispatch Problem

To realize the sustainable development of social economy, energy conservation and emission reduction has become one problems that must be considered in current power system. Under electric market system, economic load dispatch problem not only is important but also practical significance broad application prospects. In order to minimize costs electric-power generation, capacity should reasonably assigned among many different generating sets. this paper, an improved symbiosis particle swarm optimization algorithm was proposed, aiming at providing a better solution problem. First all, mathematical model established with certain constraints, which successfully converted into one. Then, balance global local search capability, mutualistic strategy nature presented. The consisted three swarms inspired by proverb “two heads are than one,” its specific analysis through standard test functions. At last, could optimized proposed algorithm. addition, two kinds examples were adopted for evaluation. From simulation results, it can seen clearly generation gained lowest compared results algorithm, chaos symbiotic organisms well demonstrating effectiveness solving