广泛负荷聚集商市场策略建模及风险效益分析

LI Bosong

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广泛负荷聚集商市场策略建模及风险效益分析

更新时间：2025-08-13

- 广泛负荷聚集商市场策略建模及风险效益分析
- Automation of Electric Power Systems Vol. 42, Issue 16, Pages: 119-126(2018)
- 作者机构：
  
  上海交通大学电子信息与电气工程学院,上海市,200240
- 作者简介：
- 基金信息：
- DOI：
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- Published：2018
- 稿件说明：
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LI Bosong. [J]. Automation of electric power systems, 2018, 42(16): 119-126.
DOI：

LI Bosong. [J]. Automation of electric power systems, 2018, 42(16): 119-126. DOI：

摘要

分布式电源、储能设备及主动负荷等需求侧资源可通过广泛负荷聚集商的统一管理参与电力市场的运营，其在提升系统经济效益的同时，也给系统优化调度带来挑战。建立了广泛负荷聚集商管理多种需求侧资源参与电力主能量及辅助服务市场的日前、实时两阶段随机优化市场策略模型，同时采用条件风险价值(CVaR)方法对市场价格波动及需求侧资源不确定性风险进行管理。利用夏普利值(Shapley value)分配方法及风险贡献度理论，对各类需求侧资源在广泛负荷聚集商运营中的效益及风险贡献进行分析。算例说明了所提出模型的有效性，定量说明了广泛负荷聚集商在需求侧资源聚合管理中提升效益、平抑风险的两方面作用，以及各类需求侧资源在聚集商运营中的效益及风险贡献。

Abstract

Demand-side resources(DSRs)including distributed generator

energy storage system and active loads can participate in the electricity market operation through the collaborate management of DSR aggregator

which brings in economic benefits to the system as well as challenges on the optimal operation. A two-stage stochastic optimization model of DSR aggregator market strategy is built by taking its participation in the day-ahead energy market

real-time energy market and reserve market into consideration. In order to study the influence of DSR and electricity price uncertainties on the market strategy of DSR aggregator

conditional value at risk(CVaR)is employed for the risk measurement and management. Moreover

Shapley value theory and risk contribution theory are used to study the profit contribution of DSRs and the risk contribution of different risk factors in the operation of DSR aggregator. Numerical studies show the validity and effectiveness of the model proposed. The effects that DSR aggregator conducts on the DSR management

which are economical benefit increase and risk alleviation are proved through the numerical studies quantitatively as well as the profit and risk contribution of each DSR in the DSR aggregator operation.

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