• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2017, Vol. 38 ›› Issue (4): 71-.doi: 10.3969/j.issn.1000-7229.2017.04.010

• 智能电网 • 上一篇    下一篇

 基于目标机会约束规划的储能容量优化配置模型

 韩为超1,刘俊勇1,向月1,唐权2,胥威汀2,苟竞2,卢天琪3   

  1.  1. 四川大学电气信息学院,成都市 610065;2. 国网四川省电力公司电力经济技术研究院,成都市 610061;3.国网辽宁省电力公司电力经济技术研究院,沈阳市 110015
  • 出版日期:2017-04-01
  • 作者简介:韩为超(1990),男,硕士研究生,研究方向为配电网规划与运行、储能系统优化配置; 刘俊勇(1963),男,教授,博士生导师,主要研究方向为电力市场、电力系统稳定与控制、分布式发电及智能电网; 向月(1987),男,副研究员,本文通信作者,主要研究方向为电力系统规划与优化运行、智能电网。
  • 基金资助:
     国家高技术研究发展计划项目(863计划)(2014AA051901);四川大学引进人才科研启动基金(1082204112089);四川省科技厅应用基础项目(2015JY0128)

 An Optimal Allocation Model of Energy Storage Capacity Based on Goal-Chance Constrained Programming
 

 HAN Weichao1,LIU Junyong1, XIANG Yue1, TANG Quan2, XU Weiting2,GOU Jing2,LU Tianqi3   

  1.  1. School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China;
    2. Sichuan Electric Power Corporation Power Economic Research Institute, Chengdu 610061, China; 
    3. Liaoning Provincial Electric Power Company Limited Power Electronic Research Institute, Shengyang 110015, China
  • Online:2017-04-01
  • Supported by:
     

摘要:  摘  要: 针对高比例可再生能源的不确定性给主动配电网的电力平衡与灵活性运行带来的影响,提出了一种基于目标机会约束规划的储能容量配置方法。首先分析了含高比例可再生能源的主动配电网中典型“鸭型净负荷曲线”场景下的电力需求与灵活性需求问题,由此引入目标机会约束规划方法,建立了考虑电力需求裕度、灵活性需求裕度的目标机会约束规划模型以配置储能资源。最后,通过算例验证所提模型的有效性,仿真结果表明,所提储能容量优化配置模型及其协同运行方案能有效解决高比例可再生能源接入下典型“鸭型净负荷曲线”场景中的电力需求以及灵活性需求不足问题。

 

关键词:  , 高比例可再生能源, 储能容量优化, 不确定性, 主动配电网, 目标机会约束规划

Abstract:  ABSTRACT:  Considering the impact of high renewable energy penetration on the power and energy balance and flexible operation demands of active distribution network, this paper proposes a capacity allocation method of energy storage based on goal-chance constrained programming. Firstly, we analyze the power demand and flexibility demand problems of active distribution network with high penetration of renewable energy under the typical ‘duck type net load curve’ scenario. To deal with that, we propose a goal-chance constrained programming method for the optimal allocation of energy storage resources, which aims optimize the balance of power demand margin and flexibility demand margin. Finally, we verify the effectiveness of the proposed model through the test cases. The simulation results show that the proposed energy storage capacity allocation model and its coordinated operation scheme can effectively achieve the power balance demand and flexible goals in the typical ‘duck type net load curve’ scenario with high penetration of renewable energy integration.

 

Key words: high renewable energy penetration, capacity optimization of energy storage, uncertainty, active distribution network, goal-chance constrained programming

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