| 引用本文: | 杨欢红,王洁,邰能灵,等.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[J].电力系统保护与控制,2019,47(1):20-27.[点击复制] |
| YANG Huanhong,WANG Jie,TAI Nengling,et al.Robust optimization of distributed generation in a microgrid based on grey target decision-making and multi-objective cuckoo search algorithm[J].Power System Protection and Control,2019,47(1):20-27[点击复制] |
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| 摘要: |
| 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。 |
| 关键词: 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 |
| DOI：10.7667/PSPC180036 |
| 投稿时间：2018-01-08修订日期：2018-06-12 |
| 基金项目: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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| Robust optimization of distributed generation in a microgrid based on grey target decision-making and multi-objective cuckoo search algorithm |
| YANG Huanhong,WANG Jie,TAI Nengling,DING Yutao |
| (School of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China;Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China) |
| Abstract: |
| 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 to adjust the conservatism of the uncertainty set. Secondly, an improved and nonlinear multi-objective cuckoo search algorithm based on Pareto domination is used to solve the Pareto optimal solution set. Based on multi-objective grey target decision-making, the satisfactory solution is selected from the optimal solution set. Finally, the scheduling model for a small microgrid is established and solved. The simulation results are compared to verify the reliability and validity of the proposed method. This work is supported by Shanghai Engineering Research Center of Green Energy Grid-Connected Technology (No. 13DZ2251900) and National Natural Science Foundation of China (No. 51377104). |
| Key words: microgrid robust uncertainty budget Pareto domination strategy multi-objective cuckoo search algorithm grey target decision-making |
