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Mobilizing grid flexibility through optimal transmission switching for power systems with large‐scale renewable integration

机译:通过具有大规模可再生能源整合的电力系统的最佳传输切换来调动电网灵活性

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摘要

In order to cope with the challenge of reducing CO2 emissions concerning climate change, many countries are increasing their renewable energy sources (RES) shares in their power system networks. However, the existing transmission network is not planned to accommodate such a large-scale integration of RES. Therefore, the need for new transmission topologies to better utilize the existing transmission infrastructure is more demanding to be practically implemented. In this paper, optimal transmission switching (OTS) is incorporated in a generic two-stage stochastic unit commitment (SUC) problem with high penetration of wind power generation. The problem is modeled as a mixed integer programming problem (MIP). To reduce the computational complexity for solving the MIP, a warm-start strategy is proposed to assist CPLEX in finding the optimal solution in a reasonable amount of time. Numerical tests are conducted on the modified IEEE 6-bus and 118-bus systems to validate the effectiveness of the optimization problem incorporating OTS in SUC problem. Using the standard IEEE 118-bus system, an extensive economic and computational analysis is performed to characterize OTS effect on total system operating cost, sensitivity to variation in load, and transmission line congestion. Test results validate that system operating cost can be reduced up to 8% as compared with generic SUC problem without transmission switching.
机译:为了应对因气候变化而减少二氧化碳排放量的挑战,许多国家正在增加其电力系统网络中的可再生能源(RES)份额。但是,现有的传输网络并未计划容纳RES的大规模集成。因此,对新传输拓扑以更好地利用现有传输基础结构的需求在实践中更加迫切。在本文中,最优输电交换(OTS)被并入具有高风能发电能力的通用两阶段随机单位承诺(SUC)问题中。该问题被建模为混合整数编程问题(MIP)。为了减少解决MIP的计算复杂性,提出了一种热启动策略,以协助CPLEX在合理的时间内找到最佳解决方案。在改进的IEEE 6总线和118总线系统上进行了数值测试,以验证将OTS纳入SUC问题的优化问题的有效性。使用标准的IEEE 118总线系统,进行了广泛的经济和计算分析,以表征OTS对总系统运行成本,负载变化敏感度和传输线拥塞的影响。测试结果证明,与一般的SUC问题相比,无需传输切换,系统的运行成本最多可以降低8%。

著录项

  • 来源
    《International Transactions on Electrical Energy Systems》 |2020年第3期|e12211.1-e12211.15|共15页
  • 作者单位

    Shanghai Jiao Tong Univ Sch Elect Informat & Elect Engn Dept Elect Engn Shanghai 200240 Peoples R China|SJTU Key Lab Control Power Transmiss & Convers Minist Educ Shanghai 200240 Peoples R China|NUST Dept Elect Engn Islamabad 46000 Pakistan;

    Shanghai Jiao Tong Univ Sch Elect Informat & Elect Engn Dept Elect Engn Shanghai 200240 Peoples R China|SJTU Key Lab Control Power Transmiss & Convers Minist Educ Shanghai 200240 Peoples R China;

    Shanghai Jiao Tong Univ Sch Elect Informat & Elect Engn Dept Elect Engn Shanghai 200240 Peoples R China|SJTU Key Lab Control Power Transmiss & Convers Minist Educ Shanghai 200240 Peoples R China|Univ Engn & Technol Dept Elect Engn Lahore 54890 Pakistan;

    Goldwind Sci & Technol Beijing Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    optimal transmission switching; power generation dispatch; renewable integration; stochastic unit commitment; wind generation;

    机译:最佳的传输切换;发电调度;可再生能源整合;随机单位承诺;风力发电;

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