• 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 ›› 2016, Vol. 37 ›› Issue (1): 38-44.doi: 10.3969/j.issn.1000-7229.2016.01.006

• 输配电技术 • 上一篇    下一篇

主动配电网与主网协调调度

金尧1, 王正宇1,蒋传文1,张裕2,赵岩3   

  1. 1.上海交通大学电子信息与电气工程学院,上海市 200240;2.贵州电网公司电网规划研究中心,贵阳市 550002;3.国网上海市电力公司,上海市200122
  • 出版日期:2016-01-01
  • 作者简介:金尧(1991),男,硕士研究生,主要研究方向为电力系统优化运行、主动配电网; 王正宇(1990),男,硕士研究生,主要研究方向为配电网优化运行; 蒋传文(1966),男,博士,教授,主要研究方向为电力市场、电力系统优化运行、可再生能源及风险管理。
  • 基金资助:

    国家高技术研究发展计划项目(863计划)(2014AA051902);国家电网公司科技项目(5217L0140009)

Coordinative Dispatching Between Active Distribution Network and Main Network

JIN Yao1, WANG Zhengyu1, JIANG Chuanwen1, ZHANG Yu2, ZHAO Yan3   

  1. 1. School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240, China;2. Power Grid Planning & Research Center, Guizhou Power Grid Corporation, Guiyang 550002, China;3. State Grid Shanghai Municipal Electric Power Company, Shanghai 200122, China
  • Online:2016-01-01
  • Supported by:

    Project supported by the National High Technology Research and Development of China (863 Program) (2014AA051902)

摘要:

主动配电网(active distribution network, ADN)拥有更多的调度自主权,能够主动管理分布式发电机、储能设备以及主动负荷,实现配网的高效运行。主网与配网调度结果相互影响,因此在制定ADN优化调度方案时,除了考虑自身的运行成本,还应该兼顾与主网之间的协调问题。该文设计配网与主网实时信息交互模式,对主动负荷和储能设备进行建模分析,提出基于实时电价的协调调度模型;并针对该调度模型,提出并行优化算法,通过对连接配网的IEEE 9节点系统进行仿真,验证了模型及求解算法的有效性;最后,分析比较了需求侧响应、储能设备和联络线功率上限对调度结果产生的影响。

关键词: 主动配电网(ADN), 协调调度, 需求侧响应, 储能设备, 分布式发电机

Abstract:

Active distribution network (ADN) with more autonomy in dispatching is able to control distributed generators, energy storage equipments and active load, which can realize the efficient operation of distribution network. The dispatching schedule of main network and distribution network influences each other. Besides the operating cost, the coordination of main network and distribution network should be considered when we make the optimal schedule of ADN. This paper provides a real-time information interaction mode, carries out modeling analysis on active load and energy storage equipments, and proposes a coordinative dispatching model based on real-time pricing. In addition, a parallel optimization algorithm is presented aiming at the scheduling model. Simulation results on the IEEE 9 node system connected with a distribution network verify the validity of the model and the algorithm. Finally, we analyze the influences of demand response, energy storage equipments and power limit in interconnecting lines on the dispatching schedule.

Key words: active distribution network (ADN), coordinative dispatching, demand response, energy storage equipment, distributed generator

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