Research on Regional Power Grid State Estimation Based on Fast-decoupled Algorithm

YANG Xuan; WANG Jianjun; TANG Jian; SHANG Jiayi; ZHU Wenlan; LI Gan; GAN Hongjun

doi:10.13296/j.1001-1609.hva.2017.01.017

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Research on Regional Power Grid State Estimation Based on Fast-decoupled Algorithm

更新时间：2025-04-26

- Research on Regional Power Grid State Estimation Based on Fast-decoupled Algorithm
- High VoltageApparatus Vol. 53, Issue 1, Pages: 102-107+112(2017)
- 作者机构：
  
  1. 国网杭州供电公司
  2. 国网四川省电力公司
  3. 国网攀枝花供电公司
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2017.01.017
  CLC： TM73
- Published：2017
- 稿件说明：
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[1]杨翾,王坚俊,唐剑,商佳宜,祝文澜,李甘,甘宏军.基于快速解耦算法的地区电网状态估计研究[J].高压电器,2017,53(01):102-107+112.

YANG Xuan, WANG Jianjun, TANG Jian, et al. Research on Regional Power Grid State Estimation Based on Fast-decoupled Algorithm[J]. High VoltageApparatus, 2017, 53(1): 102-107+112.
[1]杨翾,王坚俊,唐剑,商佳宜,祝文澜,李甘,甘宏军.基于快速解耦算法的地区电网状态估计研究[J].高压电器,2017,53(01):102-107+112. DOI： 10.13296/j.1001-1609.hva.2017.01.017.

YANG Xuan, WANG Jianjun, TANG Jian, et al. Research on Regional Power Grid State Estimation Based on Fast-decoupled Algorithm[J]. High VoltageApparatus, 2017, 53(1): 102-107+112. DOI： 10.13296/j.1001-1609.hva.2017.01.017.

摘要

近年来

随着智能电网的快速发展

大量微网和新能源电源并入地区电网

调度自动化系统中的核心模块—电力系统状态估计因数据量急剧扩大

计算速度缓慢的问题日益凸显。文中提出了一种适用于地区电网的快速解耦状态估计算法

目的在于解决状态估计计算效率低下的问题。该算法基于地区电网调度分区分层运行的特点和管理架构

引入同步相量量测的发展成果

在下层（县调层）采用快速解耦状态估计算法

在上层（地调层）满足线性状态估计条件。相比之前算法

新算法在上、下两层都具有更快的计算速度

整体效率有较大提高。通过用IEEE 118节点仿真系统对新算法进行的测试

结果验证了新算法在计算速度上的优越性能。

Abstract

With the development of the smart grids in recent years

a number of micro-grids and renewable energy have been generally integrated into the regional power grids. Consequently

a core function of dispatching system—the state estimation has met a problem of low computational efficiency. In order to increase the computational speed

this paper proposes a fast algorithm of distributed state estimation used to regional power grids. In this algorithm

the fast-decoupled and linear estimation are carried out at the lower and upper level

respectively

which can both improve the computational efficiency. The improvement of efficiency is validated by the case studies executed in the IEEE 118-bus system.

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