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1.东北电力大学电气工程学院,吉林省吉林市132012
2.国网吉林供电公司,吉林省吉林市 132012
李雪(1986—),女,通信作者,博士,教授,博士生导师,主要研究方向:电力系统安全性与稳定性、电力系统高性能计算、电力市场。E-mail:xli@neepu.edu.cn
季寒松(1998—),男,硕士研究生,主要研究方向:综合能源系统优化运行。E-mail:jihansong@aliyun.com
张儒峰(1990—),男,博士,教授,硕士生导师,主要研究方向:综合能源系统优化运行。E-mail:zhangrufeng@neepu.edu.cn
收稿日期:2022-02-26,
修回日期:2022-06-06,
网络出版日期:2022-08-17,
纸质出版日期:2022-09-10
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李雪,季寒松,张儒峰等.计及多类型微网响应特性的城市配电系统分布式优化调度[J].电力系统自动化,2022,46(17):74-82.
LI Xue,JI Hansong,ZHANG Rufeng,et al.Distributed Optimal Scheduling of Urban Distribution System Considering Response Characteristics of Multi-type Microgrids[J].Automation of Electric Power Systems,2022,46(17):74-82.
李雪,季寒松,张儒峰等.计及多类型微网响应特性的城市配电系统分布式优化调度[J].电力系统自动化,2022,46(17):74-82. DOI: 10.7500/AEPS20220226002.
LI Xue,JI Hansong,ZHANG Rufeng,et al.Distributed Optimal Scheduling of Urban Distribution System Considering Response Characteristics of Multi-type Microgrids[J].Automation of Electric Power Systems,2022,46(17):74-82. DOI: 10.7500/AEPS20220226002.
针对含多类型微网的城市配电系统,提出一种计及多类型微网需求响应特性的城市配电系统分布式协同优化调度策略。通过协调不同类型微网与配电网间的功率交互和各微网内部设备运行功率,降低含多类型微网的城市配电系统总运行成本。首先,对包含工业微网、居民微网以及商业微网的多类型微网用能特性进行分析;然后,构建了一种同时考虑多类型微网与配电网经济性的含多类型微网的城市配电系统优化调度模型。为保护各个主体之间信息的隐私性以及降低因预测信息不准确对优化结果造成的影响,提出一种基于滚动优化的分布式求解方法。最后,通过对比不同场景下的算例结果,验证了所提模型以及算法在提高各微网和配电系统运行经济性方面的有效性。
Aiming at the urban distribution system including multi-type microgrids
a distributed cooperative optimal scheduling strategy is proposed for urban distribution systems considering the demand response characteristics of multi-type microgrids. Through the coordination of power interaction among the multi-type microgrids and distribution networks
as well as the power of internal equipment in multi-type microgrids
the overall operation costs of urban distribution systems including multi-type microgrids are reduced. Firstly
the energy consumption characteristics of multi-type microgrids are analyzed
which include industrial microgrids
commercial microgrids
and residential microgrids. Then
an optimal scheduling model for urban distribution system including multi-type microgrids is constructed considering both the economy of multi-type microgrids and the distribution networks. In order to preserve the privacy information between each entity and reduce the influence of prediction information inaccuracy on the optimization results
a distributed solving method based on rolling optimization is proposed. Finally
by comparing the case study results in different scenarios
the effectiveness of the proposed model and algorithm in improving the operation economy of each microgrid and distribution system is verified.
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