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1.浙江大学电气工程学院,浙江省杭州市 310027
2.南方电网能源发展研究院有限责任公司,广东省广州市 510663
3.澳门大学智慧城市物联网国家重点实验室,澳门 999078
吴天曈(1996—),女,硕士研究生,主要研究方向:电力市场。E-mail:21810165@zju.edu.cn
丁一(1978—),男,通信作者,教授,博士生导师,主要研究方向:智能电网、复杂多状态工程系统可靠性、电力系统规划与可靠性评估和电力经济。E-mail:yiding@zju.edu.cn
尚楠(1993—),女,硕士,研究员,主要研究方向:电力系统经济调度、电力市场。E-mail:shangnan@csg.cn
收稿日期:2020-04-09,
修回日期:2020-10-27,
网络出版日期:2020-12-16,
纸质出版日期:2021-03-25
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吴天曈,丁一,尚楠等.考虑市场力检验的多类机组中长期合约电量联合分解算法[J].电力系统自动化,2021,45(6):72-81.
WU Tiantong,DING Yi,SHANG Nan,et al.Joint Decomposition Algorithm of Medium- and Long-term Contract for Variety of Generation Units Considering Market Power Test[J].Automation of Electric Power Systems,2021,45(6):72-81.
吴天曈,丁一,尚楠等.考虑市场力检验的多类机组中长期合约电量联合分解算法[J].电力系统自动化,2021,45(6):72-81. DOI: 10.7500/AEPS20200409008.
WU Tiantong,DING Yi,SHANG Nan,et al.Joint Decomposition Algorithm of Medium- and Long-term Contract for Variety of Generation Units Considering Market Power Test[J].Automation of Electric Power Systems,2021,45(6):72-81. DOI: 10.7500/AEPS20200409008.
中长期合约电量的分解是电力市场的关键环节之一,公平合理的分解算法不仅能有效衔接现货市场与中长期合约,也能够为系统安全、稳定、经济运行提供保障。当前出力特性各异的核电、水电、燃气等发电机组共同参与市场化交易,合约电量分解方法面临着差异化机组出力特性、机组检修计划、市场力风险平抑等诸多亟待研究的现实问题。文中提出了一种考虑市场力校核的面向不同类型发电机组的合约电量联合分解算法。首先,通过分析不同类型机组的运行特性,设计了面向核电、水电、燃气和燃煤机组的分解原则;然后,基于运行方式优先级原则,建立了考虑机组检修计划、兼顾发电侧多类机组出力特性的合约电量联合分解模型;最后,为避免机组的市场力滥用,借助“机组必须运行功率”指标校核了合约分解结果的合理性。通过采用中国东部某省负荷特征修正的IEEE 24节点系统,验证了所提算法在兼顾各类机组运行特性和市场力平抑方面具有优势。
The decomposition of medium- and long-term contract is one of the key links in the electricity market. A fair and reasonable decomposition algorithm can not only effectively connect the spot market and medium- and long-term contracts
but also provide the guarantee for the safe and stable economic operation of the power system. As the generation units such as nuclear
hydropower
gas with different output characteristics participate in market transactions jointly
the contract decomposition method is faced with many practical problems that need to be studied urgently such as output characteristics of differentiated units
maintenance scheduling and market power risk reduction. In this paper
a joint decomposition algorithm of contracts for different types of units considering market power test is proposed. First
by analyzing the operation characteristics of different types of units
the decomposition principles for nuclear
hydropower
gas and coal units are designed. Then
based on the principle of the priority of operation modes
a joint decomposition model of contract considering the maintenance scheduling of sets and output characteristics of various units on the generation side is established. Finally
in order to avoid the abuse of the market power of units
the rationality of the contract decomposition result is checked with the index of “must-run generation (MRG)”. A case of modified IEEE 24-bus system with load characteristics of a province in east China shows that the proposed algorithm has advantages in adaption to operation characteristics of various units and suppression of market power.
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