
1. 1.深圳供电局有限公司
2. 2.广东工业大学自动化学院
纸质出版:2025
移动端阅览
马楠, 刘国伟, 吴杰康, 等. 租赁市场中储能容量配置双层鲁棒优化模型[J]. 电网技术, 2025,(2):653-665.
马楠, 刘国伟, 吴杰康, 等. 租赁市场中储能容量配置双层鲁棒优化模型[J]. 电网技术, 2025,(2):653-665. DOI: 10.13335/j.1000-3673.pst.2024.0778.
多元的应用场景和丰富的商业模式是共享储能的规模化布局的有效途径,有利于提升共享储能的经济效益,同时丰富电网的调节性资源。基于共享储能的自主性和趋利性,提出了市场环境下考虑风电场的集群租赁的共享储能配置的双层鲁棒优化方法。描述了共享储能提供租赁服务和参与现货市场交易的商业运营模式。考虑风电机组的出力和现货价格在多时间尺度的不确定性,构建了共享储能配置的主从博弈的鲁棒优化模型。模型上层以共享储能的年成本最小化为目标,确定风电场集群互动博弈的场景下共享储能各时段的租赁价格及容量规划方案;模型下层以风电场集群的考核成本最低为目标,利用各时段租赁价格和风电机组的输出功率的最恶劣场景下租赁需求,来更新各时段租赁容量。通过多场景对比分析验证了配置结果的有效性,为共享储能的多应用场景的容量优化配置提供了新思路。
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陆秋瑜,杨银国,谢平平,陈玥,吴杰康,雷振.风电场集群租赁共享储能两阶段优化运行策略[J].电网技术,2024(03).
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李咸善,方子健,李飞,解仕杰,程杉.含多微电网租赁共享储能的配电网博弈优化调度[J].中国电机工程学报,2022(18).
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