上海交通大学学报

上海交通大学学报

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电网有限理性下负荷聚合商调峰准入功率优化

  

  1. 1. 交直流智能配电网湖北省工程中心，武汉 430072；

    2. 武汉大学 电气与自动化学院，武汉 430072；

    3. 国网能源研究院有限公司，北京 102209;

    4. 国网安徽省电力有限公司滁州供电公司，安徽 滁州 239000

  • 作者简介:池放（2000—），硕士生，从事电动汽车优化调度研究
  • 基金资助:
    国家电网有限公司科技项目资助（SGAHCZ00FZJS2200834）

Peak Regulation Access Power Optimization of Load Aggregator with Bounded Rationality of Power Grid

  1. 1. Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network, Wuhan 430072, China;

     2. School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China;

    3. State Grid Energy Research Institute Co., Ltd., Beijing 102209, China;

    4. State Grid Anhui Electric Power Co., Ltd. Chuzhou Power Supply Company, Chuzhou 239000, Anhui, China

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摘要： 负荷聚合商参与调峰辅助服务的准入条件是决定电网调峰效益的要素之一，因受到多方面因素的影响其制定较为困难。针对此，提出了考虑可调节负荷多性能影响及电网有限理性的调峰辅助服务准入功率优化设计方法。首先，从技术、经济、社会以及环境四个方面构建了负荷聚合商参与电网调峰辅助服务的性能指标体系；其次，考虑实际中电网与负荷聚合商分属于不同利益主体，其表现出有限理性特征，基于累计前景理论对负荷聚合商参与电网调峰的综合性能进行评价；进一步，计及季节对电网调峰需求的影响，基于Wasserstein生成对抗网络与forward场景削减技术生成新能源和负荷不同时段的出力场景，并以最小化电网调峰综合成本为目标，求解了负荷聚合商参与电网调峰的最优准入功率。最后，基于某地区实际算例验证了所提模型的有效性。

关键词: 负荷聚合商, 调峰辅助服务, 准入功率, 有限理性, 累计前景理论, 电力市场

Abstract: The access conditions for load aggregators to participate in the peaking auxiliary service are one of the elements that determine the effectiveness of grid peaking, which are difficult to formulate due to the influence of various factors. To this end, an optimal design method for the access power of peaking auxiliary service is proposed, which takes into account the influence of the multiple performance of adjustable loads and the finite rationality of the power grid. Firstly, the performance index system of load aggregators participating in peak load regulation auxiliary services is constructed from four aspects of technology, economy, society and environment; second, considering the limited rationality of the grid, the comprehensive performance of load aggregators participating in grid peaking is evaluated based on the cumulative outlook theory; further, taking into account the seasonal impact on the demand of grid peaking, a new energy and load time-slot optimization method is proposed based on the Wasserstein generative adversarial network and forward scenario. Further, taking into account the influence of seasonal demand on grid peaking, the optimal access power for load aggregators to participate in grid peaking is solved based on Wasserstein generation adversarial network and forward scenario based on the curtailment technique to generate the power scenarios of new energy sources and loads in different time periods with the objective of minimizing the comprehensive cost of grid peaking. Finally, the effectiveness of the proposed model is verified based on an actual example in a region.

Key words: load aggregator, peaking auxiliary service, admission power, bounded rationality, cumulative prospect theory, electricity market

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