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1.现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林省吉林市 132012
2.国网吉林省电力有限公司计量中心,吉林省长春市 130021
3.国网吉林省电力有限公司经济技术研究院,吉林省长春市 130000
于娜(1977—),女,通信作者,博士,副教授,主要研究方向:电力市场需求侧研究。E-mail:yuna0616@163.com
何远舰(1995—),男,硕士研究生,主要研究方向:电力辅助服务市场运行。E-mail:hy950616@163.com
黄大为(1976—),男,博士,副教授,主要研究方向:电力系统运行与控制、电力系统经济与发电决策。E-mail:hdw76@163.com
收稿:2021-08-22,
修回:2022-03-03,
网络出版:2022-06-14,
纸质出版:2023-02-25
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于娜,何远舰,黄大为等.风电企业与蓄热电采暖联合参与调频市场的运营模式[J].电力系统自动化,2023,47(4):27-33.
YU Na,HE Yuanjian,HUANG Dawei,et al.Combined Operation Mode of Wind Power Enterprises and Regenerative Electric Heating Participating in Frequency Regulation Market[J].Automation of Electric Power Systems,2023,47(4):27-33.
于娜,何远舰,黄大为等.风电企业与蓄热电采暖联合参与调频市场的运营模式[J].电力系统自动化,2023,47(4):27-33. DOI: 10.7500/AEPS20210822002.
YU Na,HE Yuanjian,HUANG Dawei,et al.Combined Operation Mode of Wind Power Enterprises and Regenerative Electric Heating Participating in Frequency Regulation Market[J].Automation of Electric Power Systems,2023,47(4):27-33. DOI: 10.7500/AEPS20210822002.
在电力辅助服务市场背景下,源荷两侧合作与利益博弈共存,现有研究缺乏风电与蓄热电采暖用户联合运营的可行性与经济性评价研究。在分析蓄热电采暖用户参与调频辅助市场的运行成本变化的基础上,建立了风电与蓄热电采暖用户联合运营参与调频市场的优化决策模型。该模型以风电企业利润最大化与蓄热电采暖用户成本减少量最大化为目标,并计及了蓄热电采暖与储能联合参与调频辅助服务和储能寿命损耗的影响。通过分析该多目标优化模型的帕累托解,论证了风电与蓄热电采暖用户联合运营的可行性。以实际风电场运行数据为例,验证了风电与蓄热电采暖用户联合运营的可行性。算例分析结果表明,相较于独立运营,联合运营模式下的风电企业利润和蓄热电采暖用户运营成本减少量均有所增加。
Under the background of electric auxiliary service markets
the cooperation and interest game of both sides of source and load coexist. The existing research lacks the feasibility and economic evaluation study of combined operation of wind power enterprises and regenerative electric heating users. Based on the analysis of the variation of the operation cost of the regenerative electric heating users participating in the frequency regulation auxiliary market
the optimal decision model for the combined operation of wind power and regenerative electric heating users participating in the frequency regulation market is established. The model aims at maximizing the profit of wind power enterprises and the cost reduction of regenerative electric heating users
and takes into account the influence of the combined participation of regenerative electric heating and energy storage in the frequency regulation auxiliary service and the life loss of energy storage. By analyzing the Pareto solution of the multi-objective optimization model
the feasibility of the combined operation of wind power enterprises and regenerative electric heating users is demonstrated. Taking the actual wind farm operation data as an example
the feasibility of the combined operation of wind power enterprises and regenerative electric heating users is verified. Results of the case analysis show that compared with the independent operation
both the profit of wind power enterprises and the operation cost reduction of regenerative electric heating users in the combined operation mode increase.
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