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考虑运行控制策略的广义储能资源与分布式电源联合规划
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电力系统及发电设备控制和仿真国家重点实验室, 清华大学, 北京市 100084

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基金项目:

国家重点研发计划资助项目(2017YFB0903300);国家自然科学基金资助项目(51777105)


Joint Planning of Generalized Energy Storage Resource and Distributed Generator Considering Operation Control Strategy
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State Key Laboratory of Control and Simulation of Power System and Generation Equipments, Tsinghua University, Beijing 100084, China

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    摘要:

    针对广义储能资源和分布式电源的联合规划问题,提出了包含实际储能、可平移负荷、可转移负荷和可削减负荷的响应特性模型。进一步通过双层优化架构求解考虑运行控制策略的广义储能资源和分布式电源的联合规划问题,提出不同可调控资源选址定容的实际意义与方法,上层采用改进多目标粒子群算法搜索两部分资源的选址定容方案,下层采用分支定界法求解广义储能的运行优化策略,通过上下层交替优化实现资源的联合优化配置。以IEEE 33节点配电系统进行多场景的仿真分析,结果验证了所提模型的实用性,并说明了联合规划和虚拟储能参与调控的优势与意义。

    Abstract:

    Aiming at the joint planning problem of generalized energy storage resources and distributed generator, a response model including fixed energy storage, shiftable load, transferable load and reducible load is proposed. Furthermore, the joint planning problem of generalized energy storage resources and distributed generator considering operation control strategies is solved by a bi-level optimization architecture. The practical significance and methods of siting and locating of different regulatory resources are put forward. The upper layer uses improved multi-objective particle swarm optimization algorithm to search the location and capacity selection scheme. The lower layer uses branch and bound method to solve the operation control strategy of generalized energy storage. The joint optimization configuration of resources is implemented by alternate optimization of upper and lower levels. The simulation results of multi-scenario in IEEE 33-node distribution system verify the practicability of the proposed model and prove the advantages and significance of joint planning and operation control of the virtual energy system.

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引用本文

程林,齐宁,田立亭.考虑运行控制策略的广义储能资源与分布式电源联合规划[J].电力系统自动化,2019,43(10):27-35. DOI:10.7500/AEPS20180814004.
CHENG Lin, QI Ning,TIAN Liting.Joint Planning of Generalized Energy Storage Resource and Distributed Generator Considering Operation Control Strategy[J].Automation of Electric Power Systems,2019,43(10):27-35. DOI:10.7500/AEPS20180814004.

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  • 收稿日期:2018-08-14
  • 最后修改日期:2019-03-18
  • 录用日期:2019-01-23
  • 在线发布日期: 2019-03-26
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