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基于目标机会约束规划的储能容量优化配置模型
引用本文:韩为超,刘俊勇,向月,唐权,胥威汀,苟竞,卢天琪. 基于目标机会约束规划的储能容量优化配置模型[J]. 电力建设, 2017, 38(4). DOI: 10.3969/j.issn.1000-7229.2017.04.010
作者姓名:韩为超  刘俊勇  向月  唐权  胥威汀  苟竞  卢天琪
作者单位: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
基金项目:国家高技术研究发展计划项目(863计划),四川大学引进人才科研启动基金,四川省科技厅应用基础项目,National High Technology Research and Development Program of China (863 Program),Scientific Foundation for Talented Program of Sichuan University,Scientific Fundmental Project of Sichuan Province
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

An Optimal Allocation Model of Energy Storage Capacity Based on Goal-Chance Constrained Programming
HAN Weichao,LIU Junyong,XIANG Yue,TANG Quan,XU Weiting,GOU Jing,LU Tianqi. An Optimal Allocation Model of Energy Storage Capacity Based on Goal-Chance Constrained Programming[J]. Electric Power Construction, 2017, 38(4). DOI: 10.3969/j.issn.1000-7229.2017.04.010
Authors:HAN Weichao  LIU Junyong  XIANG Yue  TANG Quan  XU Weiting  GOU Jing  LU Tianqi
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.
Keywords:high renewable energy penetration  capacity optimization of energy storage  uncertainty  active distribution network  goal-chance constrained programming
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