Solving complex economic load dispatch problems using biogeography-based optimization

摘要: This paper presents an algorithm, biogeography-based optimization (BBO) to solve both convex and non-convex economic load dispatch (ELD) problems of thermal generators a power system. The Proposed methodology easily takes care solving considering different constraints such as transmission losses, ramp rate limits, multi-fuel options prohibited operating zones. Biogeography deals with the geographical distribution biological organisms. Mathematical models biogeography describe how species migrate from one habitat another, arise, become extinct. BBO has features in common other biology-based methods, like genetic algorithms (GAs) particle swarm (PSO). Here, first it will be discussed can used ELD problems. algorithm searches global optimum mainly through two steps: migration mutation. To show advantages proposed been applied four test systems for First, 6-generator system along limits zone. Second, considers 40 valve-point loading. Third, 20-generator simple quadratic cost function loss limit constraints. Last is addressing effects multiple fuels 10-generator Comparing existing techniques, current proposal found better than, or at least comparable them quality solution obtained. method considered promising alternative approach practical