Co-optimization of transmission switching and unit commitment with AC power flow constraints

SHA Qiangyi; WANG Weiqing

doi:10.13471/j.cnki.acta.snus.2020.01.03.2020B001

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Co-optimization of transmission switching and unit commitment with AC power flow constraints

Research articles | 更新时间：2023-11-01

- Co-optimization of transmission switching and unit commitment with AC power flow constraints
- Acta Scientiarum Naturalium Universitatis Sunyatseni Vol. 59, Issue 6, Pages: 102-112(2020)
- 作者机构：
  
  可再生能源发电与并网技术教育部工程研究中心/新疆大学，新疆维吾尔自治区乌鲁木齐 830047
- 作者简介：
- 基金信息：
- DOI：10.13471/j.cnki.acta.snus.2020.01.03.2020B001
  CLC： TM73
- Published：25 November 2020，
  
  Received：03 January 2020，
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沙强益,王维庆.交流潮流约束的输电线路投切与机组组合协同优化[J].中山大学学报(自然科学版),2020,59(06):102-112.

SHA Qiangyi,WANG Weiqing.Co-optimization of transmission switching and unit commitment with AC power flow constraints[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2020,59(06):102-112.
沙强益,王维庆.交流潮流约束的输电线路投切与机组组合协同优化[J].中山大学学报(自然科学版),2020,59(06):102-112. DOI： 10.13471/j.cnki.acta.snus.2020.01.03.2020B001.

SHA Qiangyi,WANG Weiqing.Co-optimization of transmission switching and unit commitment with AC power flow constraints[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2020,59(06):102-112. DOI： 10.13471/j.cnki.acta.snus.2020.01.03.2020B001.

摘要

输电线路投切是利用现有基础设施控制输电阻塞的有效方法之一。在含高比例可再生能源的输电网中，建立了考虑交流潮流约束的机组组合与输电线路投切协同优化模型。文章以输电网发电成本和弃风光惩罚最小为目标函数，采用机会约束处理风电、光伏出力不确定性，针对IEEE-RTS 24节点系统建立了仿真算例；以典型日负荷、风电和光伏预测出力数据为依据，利用广义Benders分解法对模型进行求解，结果表明：该模型可有效提高可再生能源消纳比例、降低系统运行成本，且节点电压安全得到保证，可用于指导对安全性要求较高的机组组合，具有一定的实用价值。

Abstract

Transmission switching is one of the effective methods to control transmission congestion by using the existing infrastructure. In order to ensure the security of system node voltage while breaking some lines， a co-optimization model of unit commitment and transmission switching considering AC power flow constraints is proposed in the transmission network with high proportion of renewable energy. On the premise of ensuring security of the transmission network， it can improve the efficiency of the consumption proportion of renewable energy and reduce of system operation cost. In this paper， the transmission network generation cost and the minimum penalty for wind and photovoltaic power are taken as the objective functions， and the chance constraints are used to deal with the uncertainty of wind power and photovoltaic power. A simulation example is established for IEEE-RTS 24 node system. Based on the typical daily load， wind power and photovoltaic predicted power data， the generalized benders decomposition method is used to solve the model. The results show that this model can effectively improve the consumption

ratio of renewable energy， reduce the operating cost of the system， and ensure the safety of the node voltage， which can be used to guide the unit commitment with high safety requirements， and has a certain engineering practical value.

关键词

交流潮流机组组合输电线路投切广义Benders分解

Keywords

AC power flowunit commitmenttransmission switchinggeneralized benders decomposition

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