引用本文:赵媛媛,艾芊,余志文,等.考虑多种因素评估的微电网优化调度[J].电力系统保护与控制,2014,42(23):23-30.
ZHAO Yuan-yuan,AI Qian,YU Zhi-wen,et al.A microgrid optimal scheduling considering the assessment of various factors[J].Power System Protection and Control,2014,42(23):23-30
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考虑多种因素评估的微电网优化调度
赵媛媛, 艾芊, 余志文, 贺兴
上海交通大学电子信息与电气工程学院,上海 200240
摘要:
基于微网调度中不同利益主体追求的目标不同,从经济、技术、环境评估三方面分别进行考虑,提出相应的最优调度策略。建立关于发电和交易成本最低的经济指标模型、网损最小的技术指标模型及污染气体治理费用最低的环境指标模型,并针对各目标之间存在的冲突,提出一种最优组合策略。结合遗传算法与层次分析法,对多目标调度策略进行优化:通过自适应遗传算法得到多目标优化调度的Pareto最优解集;通过层次分析法对解集进行评估,为决策者选择最优的调度方案。最后以一欧洲典型微网为算例,通过仿真验证了该模型的有效性和可行性。
关键词:  微网调度  多目标优化  遗传算法  层次分析法  最优策略
DOI:10.7667/j.issn.1674-3415.2014.23.004
分类号:
基金项目:国家863高技术基金项目(2011AA05A108);国家科技支撑计划(2013BAA01B04)
A microgrid optimal scheduling considering the assessment of various factors
ZHAO Yuan-yuan, AI Qian, YU Zhi-wen, HE Xing
School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240, China
Abstract:
Different entities are interested in different objectives in a microgrid scheduling so that various optimization strategies are put forward considering the evaluation of economic, technical and environmental performances. The economic model with minimum generating and trading cost, technical model with minimum loss and environmental model with minimum pollutant gases emission are built and a combined strategy is proposed in case of conflicting objectives. Genetic algorithm combined with analytic hierarchy process is introduced to solve the optimization problem. Specifically, a Pareto front is given based on an adaptive genetic algorithm and an assessment of some Pareto solutions is performed through the analytic hierarchy process. Finally, the simulation results of a typical European microgrids show the feasibility and validity of the model.
Key words:  optimal strategy  multi-objective optimization  genetic algorithm  analytic hierarchy process  microgrid scheduling
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