摘要
电力系统机组组合能带来显著的经济效益,随着电力市场的不断发展,在电力系统优化运行中变得尤为重要。然而电力系统机组组组合问题是一个大规模、非凸、非线性混合整数优化问题,至今仍然没有找到一种理想的优化算法。因此针对其特点,采用了原-对偶内点法和混合整数规划法相结合的算法,首先利用混合整数规划法形成伴随规划来处理离散变量,再通过内点法求解伴随规划子问题和负荷经济分配,充分发挥了两种算法在求解机组组合问题上的优势。文中对标准10机组24时段系统算例进行了仿真测试并与之前的各种优化算法进行了对比,结果表明了本文算法模型解决机组组合问题的有效性和优越性。
With the continuous development of the electricity market, power system unit commitment, which could bring significant e conomic benefits, became particularly important in the operation of the power system optimization. However, it was a largescale, non convex, nonlinear mixed integer optimization problem, and we so far still had not found an ideal optimization algorithm. Aiming at its characteristics, this paper adopted the algorithm combining of originaldual interior point method and mixed integer programming. First, the mixed integer programming method was formed into accompany programming to handle discrete variables; Then through the interior point method, the accompany programming subproblem and load economic dispatch were solved, which gave full play to the advantages of two algorithms in solving unit commitment problem. This paper made simulation testing to the standard 10 units 24 hours system examples and compared it with the various optimization algorithms before and the results showed the effectiveness and superiority of the algorithm model to solve unit commitment problems.
出处
《贵州电力技术》
2013年第11期42-46,共5页
Guizhou Electric Power Technology
关键词
电力系统
机组组合
原-对偶内点法
混合整数规划法
power systems
unit commitment
original-dual interior point method
mixed integer programming method
