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含分布式能源的配电网实时最优潮流分布式算法
作者:
作者单位:

电网智能化调度与控制教育部重点实验室(山东大学),山东省济南市 250061

摘要:

提出一种含分布式能源的配电网实时最优潮流分布式算法。首先,该算法在获取电压状态量的实时数据后,利用原问题的二阶泰勒展开对状态量进行一次修正,并将修正结果用于控制量的计算和分布式能源的功率控制,给出了该方法在连续执行后的可行性分析。然后,利用海森阵的稀疏特性,提出了海森阵元素的分解、并行计算方法和修正方程的分布式高斯消去法,从而实现算法的分布式求解。最后,通过算例分析验证了所提算法的可行性和有效性。

关键词:

基金项目:

国家自然科学基金资助项目(51477091)。

通信作者:

作者简介:

李克强(1993—),男,博士研究生,主要研究方向:电力系统运行与控制。E-mail:lidong_ee@mail.sdu.edu.cn
韩学山(1959—),男,通信作者,教授,博士生导师,主要研究方向:电力系统运行与控制、优化调度等。E-mail:xshan@sdu.edu.cn


Distributed Algorithm of Real-time Optimal Power Flow for Distribution Network with Distributed Energy Resource
Author:
Affiliation:

Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University), Jinan 250061, China

Abstract:

This paper proposes a distributed algorithm of real-time optimal power flow for distribution systems with distributed energy resources (DERs). First, after obtaining the real-time data of the voltage state variables, the algorithm uses the second-order Taylor expansion of the original problem to correct the state variables, and uses the correction result in the calculation of control variables and the power control of DER. This paper gives the feasibility analysis of the proposed algorithm after continuous execution. Then, taking advantages of the sparse characteristics of the Hessian matrix, the decomposition and parallel calculation methods for the Hessian matrix elements and the distributed Gaussian elimination method for the correction equation are proposed to realize the distributed solution of the algorithm. Finally, the feasibility and effectiveness of the proposed algorithm are verified through the case analysis.

Keywords:

Foundation:
This work is supported by National Natural Science Foundation of China (No. 51477091).
引用本文
[1]李克强,韩学山.含分布式能源的配电网实时最优潮流分布式算法[J].电力系统自动化,2020,44(20):54-61. DOI:10.7500/AEPS20200521002.
LI Keqiang, HAN Xueshan. Distributed Algorithm of Real-time Optimal Power Flow for Distribution Network with Distributed Energy Resource[J]. Automation of Electric Power Systems, 2020, 44(20):54-61. DOI:10.7500/AEPS20200521002.
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  • 收稿日期:2020-05-21
  • 最后修改日期:2020-07-27
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  • 在线发布日期: 2020-10-16
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