引用本文:胡银龙,叶梓松,解振霖,龚增浩,孙永辉.基于机会约束的售电公司共享储能经济运行优化[J].电力自动化设备,2024,44(5):44-50.
HU Yinlong,YE Zisong,XIE Zhenlin,GONG Zenghao,SUN Yonghui.Economic operation optimization of shared energy storage for electricity retailer based on chance constraint[J].Electric Power Automation Equipment,2024,44(5):44-50.
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基于机会约束的售电公司共享储能经济运行优化
胡银龙1,2, 叶梓松2, 解振霖2, 龚增浩2, 孙永辉1,2
1.河海大学 人工智能与自动化学院,江苏 常州 213200;2.河海大学 能源与电气学院,江苏 南京 211100
摘要:
针对自有共享储能的售电公司的经济运行优化问题,从产消者共享售电公司所投资共享储能的角度,研究了一种售电公司的新型商业模式。考虑源侧与荷侧的不确定性因素,建立了售电公司共享储能服务运营策略的主从博弈模型,其上层负责求解售电公司最优共享储能服务定价和购售电策略问题,下层负责求解产消者最优运行策略问题,并基于机会约束模型描述源、荷不确定性。根据下层的KKT条件将下层模型转化为上层模型的约束条件,并利用大M法对非线性约束进行线性化。基于3个典型场景算例验证所提新型交互模式的可行性,分析售电公司共享储能服务定价方法和不确定性因素对收益的影响。
关键词:  共享储能  电力市场  机会约束  KKT条件  主从博弈  经济运行
DOI:10.16081/j.epae.202312001
分类号:TM732
基金项目:国网河北省电力有限公司科技项目(SGHEYX00YXJS2250123)
Economic operation optimization of shared energy storage for electricity retailer based on chance constraint
HU Yinlong1,2, YE Zisong2, XIE Zhenlin2, GONG Zenghao2, SUN Yonghui1,2
1.College of Artificial Intelligence and Automation, Hohai University, Changzhou 213200, China;2.College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Abstract:
Aiming at the economic operation optimization problem of electricity retailer with its own shared energy storage, a new business mode of electricity retailer is studied from the perspective of prosumers sharing the shared energy storage invested by electricity retailer. Considering the source-side and load-side uncertainty factors, a master-slave game model of shared energy storage service operation strategy for electricity retailer is established. The upper layer is responsible for solving the optimal shared energy storage service pricing and purchasing/selling power strategy of the electricity retailer, while the lower layer is responsible for solving the optimal operation strategy of the prosumers, and describing the uncertainties of source and load based on the chance constraint model. According to the Karush-Kuhn-Tucker(KKT) condition of the lower layer, the lower layer model is transformed into the constraint condition of the upper layer model, and the nonli-near constraints are linearized by using the large M method. Based on three typical scenario examples, the feasibility of the proposed interaction mode is verified, and the influence of the shared energy storage service pricing method of the electricity retailer and the uncertainty factors on the revenue is analyzed.
Key words:  shared energy storage  electricity market  chance constraint  KKT condition  Stackelberg game  economic operation

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