• 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 (9): 38-.doi: 10.3969/j.issn.1000-7229.2017.09.006

• 虚拟电厂 ·栏目主持 艾芊教授· • 上一篇    下一篇

 含储能虚拟电厂接入配电网的联合优化调度

 黄铃燃,边晓燕,李东东,林顺富

 
  

  1. (上海电力学院电气工程学院,上海市 200090)
     
  • 出版日期:2017-09-01
  • 作者简介:黄铃燃(1993),男,硕士研究生,主要研究方向为电力系统优化运行、虚拟电厂优化调度分号 边晓燕(1976),女,博士,教授,主要研究方向为电力系统优化运行、新能源并网、电力系统稳定与控制、FACTS分号 李东东(1976),男,博士,教授,主要研究方向为电力系统分析、新能源技术和智能用电分号 林顺富(1983),男,博士,副教授,主要研究方向为电能质量、智能用电。
  • 基金资助:
     基金项目:上海市科委科研计划项目(16020501000)
     

 Joint Optimal Dispatch for Power Distribution Network with Energy Storage Virtual Power Plant
 

 HUANG Lingran, BIAN Xiaoyan, LI Dongdong, LIN Shunfu

 
  

  1. (College of Electrical Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China)
     
  • Online:2017-09-01
  • Supported by:
     

摘要:  摘 要:为解决不确定性能源发电给配电网带来的隐患和经济性问题,研究含间歇分布式能源的虚拟电厂(virtual power plant,VPP)接入配电网的联合优化调度对提高系统安全和促进新能源消纳具有十分重要的意义。综合考虑风电及储能的运行特性,提出一种改进的Buckets方法,建立了考虑风电不确定性和含储能的虚拟电厂参与配电网调度的优化机组组合模型,基于6节点系统研究了改进的Buckets方法对发电成本和机组组合的影响。与传统Buckets方法相比,采用所提方法使得模型的发电成本及开机时段减少,表明该方法能够实现发电成本最优、风电的充分消纳以及储能的灵活运用。

 

关键词:  , 风电, 虚拟电厂(VPP), 机组组合, 储能, 改进Buckets法

Abstract:  ABSTRACT:  To solve the challenges and economic problems of power distribution network caused by the uncertainty of the energy, it is very important to study the model of the joint optimal dispatch unit commitment of the virtual power plant (VPP) integrated with intermittent distributed energy to improve the operation security and the utilization of new energy. This paper proposes an improved Buckets method considering the operation characteristics of wind power and energy storage, and establishes an optimal unit commitment model of power distribution network, taking into account the uncertainty of the wind power and VPP with energy storage system. Based on the 6-node system, this paper studies the impact of the improved Buckets method on the cost of power generation and unit commitment. Compared with the traditional Buckets method, the proposed method can reduce the generation cost and starting up time of the model, which shows that the method can realize the optimal cost, the full use of wind power and the flexible use of energy storage.

 

Key words:  wind power, virtual power plant (VPP), unit commitment, energy storage, improved Buckets method

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