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1.电力系统及发电设备控制和仿真国家重点实验室,清华大学,北京市 100084
2.广东电力交易中心有限责任公司,广东省广州市 510030
张妍(1996—),女,硕士研究生,主要研究方向:电力市场。E-mail:zhangyanthu0731@163.com
陈启鑫(1982—),男,通信作者,副教授,主要研究方向:电力市场、低碳电力技术、电力调度、能源互联网、大数据技术等。E-mail:qxchen@tsinghua.edu.cn
郭鸿业(1993—),男,博士研究生,主要研究方向:电力市场、机器学习、均衡分析、机制设计等。
收稿日期:2020-05-15,
修回日期:2020-06-16,
网络出版日期:2020-08-11,
纸质出版日期:2020-10-25
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张妍,陈启鑫,郭鸿业等.引入投资决策的电力容量市场均衡分析[J].电力系统自动化,2020,44(20):11-18.
ZHANG Yan,CHEN Qixin,GUO Hongye,et al.Equilibrium Analysis of Power Capacity Market Incorporating Investment Decision[J].Automation of Electric Power Systems,2020,44(20):11-18.
张妍,陈启鑫,郭鸿业等.引入投资决策的电力容量市场均衡分析[J].电力系统自动化,2020,44(20):11-18. DOI: 10.7500/AEPS20200515004.
ZHANG Yan,CHEN Qixin,GUO Hongye,et al.Equilibrium Analysis of Power Capacity Market Incorporating Investment Decision[J].Automation of Electric Power Systems,2020,44(20):11-18. DOI: 10.7500/AEPS20200515004.
针对纯能量市场难以解决发电机组的固定成本回收问题,国外电力市场已开展了建立容量市场的实践,以市场化机制形成对机组补偿的价格信号,保障发电容量充裕性。文中从容量市场机制设计的角度出发,在考虑市场成员策略行为的前提下,对引入投资决策的电力容量市场进行了建模与均衡分析。首先,描述了容量市场的基本机理,针对容量市场的投资决策问题建立双层均衡模型,上层模型为寡头主体的最优决策模型,下层模型为容量市场出清模型;其次,利用最优性条件将双层模型转化为单层模型,运用分段线性化等方法实现模型线性化,得到混合整数线性规划问题;最后,基于中国某省的实际数据进行算例分析,深入探究了市场主体的策略行为,揭示了寡头主体抬价时的过度投资行为及其影响因素,提出限制项目竞标自由度的策略行为规制方法并验证了该方法的有效性。
In view of the difficulty in solving the fixed cost recovery problem of generating units in the energy-only market
the overseas power markets have launched the practice of establishing capacity markets
forming price signals for unit compensation with a market-based mechanism to ensure the sufficiency of generating capacity. From the perspective of capacity market mechanism design
this paper conducts modeling and equilibrium analysis of the power capacity market with investment decision on the premise of considering the strategic behavior of market members. Firstly
the basic mechanism of capacity markets is described
and a two-layer equilibrium model is established for the investment decision problem of capacity markets. The upper model is the optimal decision model of the oligarch and the lower model is the capacity market clearing model. Secondly
the two-layer model is transformed into a single-layer model by using the optimality condition. While the model is linearized by piecewise linearization
the mixed-integer linear programming problem is obtained. Finally
based on the actual data of one province in China
this paper makes a case study of the strategic behavior of market players
reveals the excessive investment behavior and its influencing factors of the oligarch during bidding period
proposes a strategic behavior regulation method based on limiting the freedom of project bidding
and verifies the effectiveness of this method.
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