大规模系统月度机组组合和安全校核算法

GAO Zonghe; GENG Jian; ZHANG Xian; CHEN Haoyong; WEN Fushuan

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大规模系统月度机组组合和安全校核算法

更新时间：2025-08-13

- 大规模系统月度机组组合和安全校核算法
- Automation of Electric Power Systems Vol. 32, Issue 23, Pages: 28-30(2008)
- 作者机构：
  
  1. 国电南瑞科技股份有限公司,江苏省,南京市,210003
  2. 国家电网公司交易中心,北京市,100001
  3. 华南理工大学电气工程学院,广东省,广州市,510641
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2008
- 稿件说明：
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GAO Zonghe, GENG Jian, ZHANG Xian, et al. [J]. Automation of electric power systems, 2008, 32(23): 28-30.
DOI：

GAO Zonghe, GENG Jian, ZHANG Xian, et al. [J]. Automation of electric power systems, 2008, 32(23): 28-30. DOI：

摘要

采用时序优化方式解决月度机组组合和电网安全校核问题，针对电力市场和节能调度模式，建立了优化数学模型。利用拉格朗日松弛算法进行月度720时段机组组合优化，利用非线性内点最优潮流算法进行电网安全校核。以IEEE RTS标准算例和中国华东电网为例进行大规模优化性能分析，结果表明该算法是解决大规模电力系统月度发电计划和电网安全校核的有效方法。

Abstract

The time-interval based optimization algorithms are used to solve the monthly unit commitment and security assessment. Aimed at two modes of power market and energy efficiency dispatch， the corresponding mathematic optimization models are proposed. Lagrange relaxation method is used to optimize the monthly unit commitment over 720 time intervals， and the non-linear interior point optimal power flow（OPF） is used in the security assessment and optimal adjustment. Taking the extended IEEE RTS system and the actual East China power system as examples， the large-scale system analysis is carried out. The results show the efficiency of proposed algorithms for monthly generation schedule， security assessment and optimal adjustment.

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