引用本文: | 刘自发,于普洋,李颉雨.计及运行特性的配电网分布式电源与广义储能规划[J].电力自动化设备,2023,43(3): |
| LIU Zifa,YU Puyang,LI Jieyu.Planning of distributed generation and generalized energy storage in distribution network considering operation characteristics[J].Electric Power Automation Equipment,2023,43(3): |
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摘要: |
在配电网分布式电源与广义储能的联合规划中,为了充分挖掘柔性负荷的调控能力,实现源-荷-储的协同互动,提出了分布式电源和广义储能的双层规划方法。结合广义储能的运行特性模型,提出了柔性负荷的需求响应潜力量化方法及配电网的运行策略。构建了运行-规划模型,上层考虑系统规划成本、响应激励成本以确定资源的选址定容方案;下层以配电网的可持续性、可靠性为目标,采用自适应参数网格粒子群优化算法求解广义储能的运行结果。算例仿真结果验证了所提模型和方法的有效性及优越性。 |
关键词: 配电网 分布式电源 广义储能 需求响应潜力 运行策略 联合规划 选址定容 |
DOI:10.16081/j.epae.202208029 |
分类号: |
基金项目:国家自然科学基金资助项目(51977074) |
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Planning of distributed generation and generalized energy storage in distribution network considering operation characteristics |
LIU Zifa, YU Puyang, LI Jieyu
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School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
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Abstract: |
In the joint planning of distributed generation and generalized energy storage in the distribution network, in order to fully exploit the regulation ability of flexible load and realize the source-load-storage cooperative interaction, a two-layer planning method of distributed generation and generalized energy storage is proposed. Combined with the operation characteristic model of generalized energy storage, the quantitative evaluation method of flexible load demand response potential and the operation strategy of distribution network are proposed. The operation-planning model is constructed. The upper layer considers the system planning cost and response incentive cost to determine the locating and sizing schemes of resources. The lower layer aims at the sustainability and reliability of the distribution network and uses the adaptive parameter mesh particle swarm optimization algorithm to solve the operation results of generalized energy storage. Simulative results verify the effectiveness and superiority of the proposed model and method. |
Key words: distribution network distributed power generation generalized energy storage demand response potential operation strategy joint planning locating and sizing |