| 引用本文: | 李咸善,解仕杰,方子健,李飞,程杉.多微电网共享储能的优化配置及其成本分摊[J].电力自动化设备,2021,41(10): |
| LI Xianshan,XIE Shijie,FANG Zijian,LI Fei,CHENG Shan.Optimal configuration of shared energy storage for multi-microgrid and its cost allocation[J].Electric Power Automation Equipment,2021,41(10): |
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| 摘要: |
| 为解决多微电网中共享储能优化配置及其成本的公平分摊问题，提出多微电网共享储能的多目标优化配置及其成本的改进Shapley值法公平分摊方法。该方法包括2个阶段：在阶段1，提出多微电网共享储能多目标优化配置模型，将共享储能用于平抑多微电网净负荷功率波动，以共享储能成本最小和多微电网净负荷方差最小为目标建立优化模型，利用非支配排序遗传算法(NSGA-Ⅱ)求出其Pareto前沿面，再利用模糊隶属度函数筛选Pareto前沿面的最优折中解，获得共享储能优化充放电功率和对应的优化配置容量及其成本；在阶段2，提出基于线路功率损耗的改进Shapley值法，并采用该方法在多微电网之间分摊共享储能配置所产生的节省成本。算例结果验证了所提方法的有效性。 |
| 关键词: 多微电网；共享储能；NSGA-Ⅱ Pareto前沿面；Shapley值法 |
| DOI：10.16081/j.epae.202110019 |
| 分类号:TM721 |
| 基金项目: |
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| Optimal configuration of shared energy storage for multi-microgrid and its cost allocation |
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LI Xianshan, XIE Shijie, FANG Zijian, LI Fei, CHENG Shan
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Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, China Three Gorges University, Yichang 443002, China
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| Abstract: |
| In order to solve the problems of optimal configuration of shared energy storage and fair allocation of its cost in multi-microgrid, a method of multi-objective optimal configuration of shared energy storage and fair allocation of its cost with an improved Shapley value method in multi-microgrid is proposed, which includes two stages. In Stage 1, a multi-objective optimal configuration model for shared energy storage in multi-microgrid is proposed, the shared energy storage is used to suppress the power fluctuation of net load in multi-microgrid, an optimal model with the minimum cost of shared energy storage and minimum variance of net load in multi-microgrid as its objectives is built, its Pareto front is calculated by NSGA-Ⅱ(Non-dominated Sorting Genetic Algorithm-Ⅱ),then fuzzy membership function is used to select the optimal compromise solution of Pareto front, so as to obtain the optimal charging and discharging power of shared energy storage, together with its corresponding optimal configuration capacity and cost. In Stage 2, an improved Shapley value method based on line power loss is proposed, which is used to allocate the cost saving caused by shared energy storage configuration among multi-microgrid. Case results verify the effectiveness of the proposed method. |
| Key words: multi-microgrid shared energy storage NSGA-Ⅱ Pareto front Shapley value method |
