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融合多场景分析的交直流混合微电网多时间尺度随机优化调度策略 被引量:58

Multi-time Scale Stochastic Optimal Dispatch for AC/DC Hybrid Microgrid Incorporating Multi-scenario Analysis
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摘要 交直流混合微电网接入高渗透率可再生能源及其特殊的网架结构,对交直流混合微电网的经济运行构成挑战。针对这一问题,提出一种融合多场景分析的交直流混合微电网多时间尺度随机优化调度策略。在日前调度阶段,在综合考虑市场分时电价、微电网内各分布式单元和双向AC/DC功率变换器的运行成本及特性的基础上,运用多场景分析技术模拟风光和交直流负荷的不确定性,以日运行成本最低为目标构建日前两阶段随机优化调度模型。在日内调度阶段,基于模型预测控制构建日内滚动优化调度模型,该模型通过在线滚动优化结合反馈校正形成闭环优化,在保障日前计划有效性的同时,充分抑制日前预测误差引发的功率波动,有效避免冲击配电网的稳定运行。最后,以某交直流混合微电网示范工程为依托,通过算例分析对所提方法进行验证,结果表明,所提方法能够有效应对交直流混合微电网多重不确定性的影响,实现其经济和鲁棒运行。 High-penetration renewable energy and special grid structure have brought challenges to the economic operation of AC/DC hybrid microgrids.Aiming at this issue,a multi-time scale stochastic optimal dispatch for AC/DC hybrid microgrid incorporating multi-scenario analysis is proposed in this paper.In the day-ahead dispatch stage,the time-of-use electricity price,operation costs and characteristics of distributed units,and bidirectional AC/DC converter are comprehensively considered.The multi-scenario analysis technique is adopted to simulate the uncertainty of wind power,photovoltaic power,and AC/DC loads.The two-stage stochastic optimal dispatch model is put forward to minimize the daily operation cost.In the intraday dispatch stage,an intraday rolling optimal dispatch model is developed based on the model predictive control.By combining the rolling optimization with feedback compensation,the closed-loop optimization is developed.On this basis,the effectiveness of the day-ahead schedules is effectively guaranteed.Meanwhile,the model can effectively suppress the intraday power fluctuations induced by day-ahead forecast errors and avoid affecting the main grid operation.Case studies are conducted based on an AC/DC hybrid microgrid demonstration project.The simulation results show that the proposed strategy can effectively cope with the impact of multiple uncertainties in the AC/DC hybrid microgrid,and realize its economic and robust operation.
作者 魏斌 韩肖清 李雯 郭玲娟 于浩 WEI Bin;HAN Xiaoqing;LI Wen;GUO Lingjuan;YU Hao(Shanxi Key Lab of Power System Operation and Control,Taiyuan University of Technology,Taiyuan 030024,China)
出处 《高电压技术》 EI CAS CSCD 北大核心 2020年第7期2359-2369,共11页 High Voltage Engineering
基金 国家自然科学基金(51777132) 山西省科技重大专项(20181102028)。
关键词 交直流混合微电网 多场景分析 两阶段随机优化 多时间尺度 模型预测控制 AC/DC hybrid microgrid multi-scenario analysis two-stage stochastic optimization multi-time scale model predictive control
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