考虑负荷聚合商诚信度及用户满意度的日前调峰市场双层优化模型
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(武汉大学 电气与自动化学院,武汉 430072)

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蔡博武(1999),男,江西九江人,硕士,研究方向为电动汽车、电力市场等;廖菲(1997),女,湖南郴州人,博士,研究方向为电动汽车、电力市场、区块链等;杨军(1977),男,湖北武汉人,教授,研究方向为电动汽车、电力市场等。

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国家自然科学基金资助项目(51977154)


Two-level optimization model for day-ahead peak shaving market considering reliability and customer satisfaction of load aggregators
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(Electrical and Automation College, Wuhan University, Wuhan 430072, China)

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    摘要:

    新能源大规模并网对电力系统调峰带来较大挑战,在传统电源侧调峰空间逐步殆尽的背景下,亟需高效的市场机制引导用户侧灵活负荷主动参与调峰市场以维持电网安全稳定。结合用户实际情况,综合考虑用户满意度及负荷需求,提出了电动汽车、电采暖、储能等灵活负荷聚合参与日前调峰的市场机制,并建立了聚合商参与日前调峰市场出清及用户侧灵活负荷调度的双层优化模型。其中,上层模型考虑负荷聚合商诚信度的影响,以调度成本最低为目标进行日前市场出清;下层模型考虑用户满意度,以签订合同的形式调用用户侧灵活资源。仿真结果验证了将不同负荷聚合进行联合调度的可行性,表明所提出的策略能明显降低系统调度成本,保证市场调峰的可靠性,确保电网安全可靠运行。

    Abstract:

    The large- scale grid connection of new energy brings huge challenges to the peak load regulation of power systems.The peak load regulation space of the traditional power supply side is gradually exhausted, an efficient market mechanism is urgently needed to guide the flexible loads on the user side to actively participate in the peak load regulation market to maintain the security and stability of the power grid. Combined with the actual situation of users, considering user satisfaction and load demand, the market mechanism of flexible load aggregation including electric vehicles,electric heating, and energy storage participating in day- ahead peak load regulation was proposed, and the bi- level optimization model of aggregator participating in day-ahead peak shaving regulation market clearing and flexible load scheduling on the user side was established. The upper-level model considers the influence of the reliability of load aggregators and conducts day- ahead market clearing with the objective of the lowest dispatching cost. The lower·level model considers user satisfaction and calls user-side resources in the form of signing a contract. The simulation results verify the feasibility of combining different loads for joint dispatch, indicating that the strategy proposed can significantly reduce the cost of dispatch, ensure the reliability of peak shaving in the market, and ensure the safe and reliable operation of the power grid.

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蔡博武,廖 菲,杨 军.考虑负荷聚合商诚信度及用户满意度的日前调峰市场双层优化模型[J].电力需求侧管理,2022,24(5):29-35

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  • 收稿日期:2022-06-29
  • 最后修改日期:2022-07-27
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  • 在线发布日期: 2022-09-27
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