储能科学与技术 ›› 2019, Vol. 8 ›› Issue (4): 637-644.doi: 10.12028/j.issn.2095-4239.2019.0069

• 微电网与分布式储能技术专刊 • 上一篇    下一篇

计及需求响应不确定性的主动配电网调度优化模型

周丹1, 任志伟1, 黄弘扬2, 马俊超2, 刘业伟1, 戴慧雯1   

  1. 1 浙江工业大学信息工程学院, 浙江 杭州 310023;
    2 国网浙江省电力有限公司电力科学研究院, 浙江 杭州 310014
  • 收稿日期:2019-04-25 修回日期:2019-05-14 出版日期:2019-07-01 发布日期:2019-06-11
  • 通讯作者: 周丹(1990-),男,博士,高级工程师,研究方向为能源互联网规划与控制等,E-mail:1051952582@qq.com。
  • 作者简介:周丹(1990-),男,博士,高级工程师,研究方向为能源互联网规划与控制等,E-mail:1051952582@qq.com。
  • 基金资助:
    浙江省重点研发计划(2019C01149),国家电网公司科技项目(5211DS180031)。

Optimal dispatching model of active distribution network considering uncertainty of demand response

ZHOU Dan1, REN Zhiwei1, HUANG Hongyang2, MA Junchao2, LIU Yewei1, DAI Huiwen1   

  1. 1 College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, Zhejiang, China;
    2 State Grid Zhejiang Electric Power Co., Ltd. Electric Power Research Institute, Hangzhou 310014, Zhejiang, China
  • Received:2019-04-25 Revised:2019-05-14 Online:2019-07-01 Published:2019-06-11

摘要: 在当前主动配电网日益发展的背景下,需求响应作为可调控的重要资源被引入配电网系统中,与分布式电源、储能等设备的共同作用下,保证配电网系统的安全稳定经济运行。然而系统响应过程中的外部环境的不确定性、价格需求曲线的不确定性等多方面因素,使得需求响应具有较大的不确定性,基于此,本文构建了一种考虑需求响应不确定性的主动配电网调度优化模型,以配电网运行成本最小为目标函数,重点分析两种不同类型的需求响应:基于激励的需求响应和基于价格的需求响应,考虑其不确定性条件下对主动配电网日前调度成本的影响,通过分段线性化对模型进行线性化处理,最终采用修改的IEEE33节点算例分析验证本文模型的有效性。

关键词: 需求响应, 不确定性, 分段线性化, 调度优化

Abstract: With the development of active distribution network, demand response, as an important adjustable resource, is introduced into the distribution network system to ensure the safe, stable and economic operation of the distribution network system under the combined action of distributed generation, energy storage and other equipment. However, the uncertainty of the external environment in the response process and the uncertainty of the price demand curve make the demand response have greater uncertainty in the current system. A scheduling optimization model of active distribution network considering demand response uncertainty is proposed in this paper, aiming to minimize the operating cost. This paper focus on the analysis of two different types of demand response:incentive-based demand response and price-sensitive demand response, whose influence of uncertainty on costs is also considered. And the model is linearized by piecewise linearization. Finally, rationality and effectiveness of the proposed model are verified with modified 33 node system.

Key words: demand response, uncertainty, piecewise linearization, optimization dispatch model

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