基于灰靶决策和多目标布谷鸟算法的微电网分布式电源鲁棒优化OA北大核心CSCDCSTPCD
Robust optimization of distributed generation in a microgrid based on grey target decision-making and multi-objective cuckoo search algorithm
风机、光伏等可再生能源出力和负荷需求的不确定性给微电网稳定运行带来挑战.首先,针对这一特性,构建约束条件的不确定集,综合考虑运行成本和环境成本,建立微电网多目标鲁棒调度模型,并引入鲁棒不确定预算调节不确定集合的保守度.其次,采用基于Pareto 支配策略的改进的非线性多目标布谷鸟算法求出Pareto 最优解集,并利用多目标灰靶决策从Pareto 最优解集中选择出满意方案.最后,针对一个小型微电网系统建立优化模型并求解,对比分析仿真结果,验证了所提方法的可靠性和有效性.
There are uncertainties in load demands and renewable energy outputs of wind turbine and photovoltaic. These factors bring great challenges to the stable operation of microgrids. In view of the characteristic, firstly, the uncertainty set of the constraints is constructed and the operating cost and the environmental cost are considered. Thus, the multi-objective robust scheduling model of the microgrid is built. Also, robust uncertainty budget is introduced …查看全部>>
杨欢红;王洁;邰能灵;丁宇涛
上海电力学院电气工程学院, 上海 200090上海电力学院电气工程学院, 上海 200090上海交通大学电气工程系, 上海 200240上海电力学院电气工程学院, 上海 200090
微电网鲁棒不确定预算Pareto支配策略多目标布谷鸟算法灰靶决策
microgridrobust uncertainty budgetPareto domination strategymulti-objective cuckoo search algorithmgrey target decision-making
《电力系统保护与控制》 2019 (1)
特高压直流输电线路继电保护新原理研究
20-27,8
上海绿色能源并网工程技术研究中心项目资助(13DZ2251900)国家自然科学基金项目资助(51377104)
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