Multiobjective optimal dispatch of microgrid based on analytic hierarchy process and quantum particle swarm optimization |
| |
Affiliation: | 1. School of Electrical and Control Engineering, North China University of Technology, Beijing 100144, P.R. China;2. State Grid Shandong Electric Power Company, Jinan 250001, P.R. China;3. State Grid Brazil Holding S.A., Rio de Janeiro, 20071-004, RJ, Brasil |
| |
Abstract: | Owing to the rapid development of microgrids (MGs) and growing applications of renewable energy resources, multiobjective optimal dispatch of MGs need to be studied in detail. In this study, a multiobjective optimal dispatch model is developed for a standalone MG composed of wind turbines, photovoltaics, diesel engine unit, load, and battery energy storage system. The economic cost, environmental concerns, and power supply consistency are expressed via subobjectives with varying priorities. Then, the analytic hierarchy process algorithm is employed to reasonably specify the weight coefficients of the subobjectives. The quantum particle swarm optimization algorithm is thereafter employed as a solution to achieve optimal dispatch of the MG. Finally, the validity of the proposed model and solution methodology are confirmed by case studies. This study provides reference for mathematical model of multiojective optimization of MG and can be widely used in current research field. |
| |
Keywords: | Analytic hierarchy process (AHP) Quantum particle swarm optimization (QPSO) Multiobjective optimal dispatch Microgrid |
本文献已被 万方数据 ScienceDirect 等数据库收录! |
|