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投稿时间：2023-08-29
投稿时间：2023-08-29
中文摘要: 针对可再生能源日渐高比例接入大电网，需要建立主动配电网系统来跟踪和响应大电网的调度需求，提出了一种基于联络线计划功率将微电网转变为主动配电网的经济性调度策略。该策略以风光储直流微电网并网运行系统成本最低为目标，运用改进麻雀搜索算法求解系统运行成本。与无联络线计划功率调度策略的调度结果进行了对比，结果表明，所提调度策略在满足大电网削峰填谷指令的同时，将系统的并网运行成本降低了9.79％。由此验证了该调度策略对于直流微电网并网经济性调度具有可行性。
Abstract:With the increasing integration of renewable energy sources into the main grid，the establishment of active distribution network systems is imperative to monitor and respond to the scheduling demands of the main grid. This paper presents a cost-effective scheduling strategy to transform microgrids into active distribution networks using interconnection power scheduling. The strategy aims to minimize the operational system costs of wind-solar-storage DC microgrids during grid-connected operation. An improved sparrow search algorithm is employed to solve the operational cost optimization. By comparing with the scheduling result of the non-interconnection power scheduling strategy， the proposed scheduling strategy reduces the grid-connected operational costs by 9.79%，while simultaneously fulfilling the peak-shaving and valley-filling directives from the main grid. These results verify the feasibility of the proposed scheduling strategy for economically dispatching grid-connected DC microgrids.
keywords: DC microgrid planned power of the interconnection line scheduling strategy peak shaving and valley filling sparrow search algorithm
文章编号：20242012 中图分类号：TM73 文献标志码：
基金项目:国家自然科学基金青年科学基金 （51906133）。
引用文本：
钱虹,高义伟,印国祥.面向联络线计划功率的直流微电网优化调度[J].上海电力大学学报,2024,40(2):169-177.
QIAN Hong,GAO Yiwei,YIN Guoxiang.Research on Optimal Scheduling Strategy for Grid-Connected Operation of DC Microgrid Based on Planned Power of Interconnection Line[J].Journal of Shanghai University of Electric Power,2024,40(2):169-177.
钱虹,高义伟,印国祥.面向联络线计划功率的直流微电网优化调度[J].上海电力大学学报,2024,40(2):169-177.
QIAN Hong,GAO Yiwei,YIN Guoxiang.Research on Optimal Scheduling Strategy for Grid-Connected Operation of DC Microgrid Based on Planned Power of Interconnection Line[J].Journal of Shanghai University of Electric Power,2024,40(2):169-177.