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Active Distribution Network Bi-level Planning Considering the 'Source-Grid-Load-Storage' Collaborative

机译:考虑“源-网格-负载-存储”协作的主动配电网双层规划

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Due to the difficulty to maximize the value of each resource when considering the interests of a single entity or several entities in the distribution network planning, this paper proposes an active distribution network bi-level planning model considering 'source-grid-load-storage' collaborative. The upper level of the model considers the minimum annual comprehensive cost as the optimization goal, which includes the annual investment cost and annual maintenance cost of distributed generation and energy storage, demand-side management annual cost and annual network loss cost. The optimized variables are the installation location and capacity of distributed generation and energy storage. The lower level planning aims to minimize the annual network loss, and according to the installation location and capacity of the distributed generation and storage determined by the current upper level plan, the coordination and optimization strategy of distributed generation, energy storage and demand responses are proposed. A hybrid strategy combining catastrophe genetic algorithm and interior point method is used to solve the planning model. Simulation analysis of the IEEE33 node system verifies the validity of the active distribution network bi-level planning model considering 'source-grid-load-storage' collaborative, and the economical efficiency compared with 'source-storage' planning and 'source-load' planning.
机译:由于在分配网络规划中考虑单个实体或多个实体的利益时,难以最大程度地利用每种资源的价值,因此本文提出了一种考虑“源-电网-负荷-存储”的主动配电网络双层规划模型。合作。该模型的上层将年度最低综合成本作为优化目标,包括分布式发电和储能的年度投资成本和年度维护成本,需求侧管理年度成本和年度网络损失成本。优化的变量是分布式发电和能量存储的安装位置和容量。下层规划旨在将年度网络损失降至最低,并根据当前上层规划确定的分布式发电和存储的安装位置和容量,提出分布式发电,能量存储和需求响应的协调和优化策略。 。结合突变遗传算法和内点法的混合策略求解规划模型。 IEEE33节点系统的仿真分析验证了考虑“源-网格-负载-存储”协作的主动配电网双层计划模型的有效性,以及与“源-存储”计划和“源-负载”相比的经济效率规划。

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