摘要
从运营成本、污染物排放及运营风险水平3方面入手,构建智能电网下微电网运营管理多目标优化模型,考虑微电网系统各方面约束,提出采用小生境多目标粒子群优化算法进行求解,并仿真验证模型有效性。结果表明:提出的微电网运营管理多目标优化模型可实现成本、排污及风险多目标的综合考虑,尤其是分布式电源出力波动性对微电网运营的影响,能够有效提升微电网运营管理水平,确保供用电安全。
This paper started with operating costs, pollutant emissions and operational risk that by the uncertainty of DG output, and built a multi-objective optimization mode/ of micro-grid operation management in smart grid considering all aspects of the micro-grid system constraints. Then niche multi-objective particle swarm optimization algorithm was used to solve the model with the aim to improve the operation management of micro power. The simulation results show that the proposed multi-objective optimization model of micro-grid operational management can implement the comprehensive consideration of cost, pollution emission and operational risk, especially the influence by DG output fluctuation. The study can effectively promote the micro-grid operation management level and ensure the security of the power supply.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2015年第5期1051-1058,共8页
Proceedings of the CSEE
基金
国家自然科学基金项目(71271084
71071054)
国家电网公司科技项目(521820140017)~~
关键词
微电网
运营管理
多目标优化模型
小生境多目标粒子群优化算法
micro-grid
operation management
multi-objective optimization model
niche multi-objective particle swarm optimization algorithm