
1. 国网山东省电力公司临沂供电公司
2. 天津大学电气自动化与信息工程学院
纸质出版:2025
移动端阅览
冯德品, 徐兵, 沈涛, 等. 多利益主体互动下光储系统联合配置的优化方法[J]. 山东电力技术, 2025,52(6):22-32.
冯德品, 徐兵, 沈涛, 等. 多利益主体互动下光储系统联合配置的优化方法[J]. 山东电力技术, 2025,52(6):22-32. DOI: 10.20097/j.cnki.issn1007-9904.2025.06.003.
针对现有开发商在分布式光储规划中,难以充分考虑不同利益主体驱动下网络重构、储能运行策略、有功削减对光储配置结果的影响,提出一种多利益主体互动下光储系统联合配置的优化方法。首先,构建开发商和配电网运营商(distribution network operator
DNO)互动下的光储联合配置框架,揭示各主体的决策变量及互动影响机制;其次,建立开发商和DNO互动下的光储联合配置模型,在开发商规划层以开发商年投资运营收益最大决策分布式光伏容量和储能容量、在开发商运行层以开发商年运营收益最大决策储能运行策略、在DNO运行层以供电收益最大决策网络重构、有功削减及与开发商和上级电网的购售电功率;然后,将开发商规划运行模型进行耦合,并采用KKT(Karush-Kuhn-Tucker)条件和大M法将开发商规划运行模型转为DNO模型的约束条件求解;最后,通过某地区实际算例,验证所提光储联合配置方法的有效性和经济性。
To address the challenge faced by existing developers in distributed photovoltaic and storage planning
specifically the difficulty in adequately considering the impacts of network reconfiguration
storage operation strategies
and active power reduction on the configuration results of optical storage under the drive of different stakeholders
an optimization method for the joint configuration of photovoltaic and storage systems under multi-stakeholder interaction is proposed. First
a joint configuration framework is constructed under the interaction between developers and distribution network operators(DNO)
revealing the decision variables and interaction mechanisms of each stakeholder. Secondly
a joint configuration model for photovoltaic and storage systems under the interaction between developers and DNO is established.In the developer planning stage
the distributed photovoltaic capacity and storage capacity are determined by maximizing the developer′s annual investment and operational revenue.In the developer operation stage
the storage operation strategy is decided by maximizing the developer′s annual operational revenue.In the DNO operation stage
the network reconfiguration
active power curtailment
and power purchase and sale with developers and the upstream grid are decided by maximizing the supply revenue.Then
the planning and operation models of developers are coupled
and the KKT(Karush-Kuhn-Tucker)conditions and the big-M method are used to transform the developer′s planning and operation models into constraints of the DNO model for solution.Finally
the effectiveness and economic feasibility of the proposed photovoltaic storage joint configuration method are validated through a case study in a specific region.
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