摘要
本文提出的数学模型中包含了线路投资和网络损耗,并采用退火精确罚函数求解非线性约束优化问题,通过自适应的退火罚因子和精确罚函数来处理约束条件,使算法逐渐收敛于可行的最优解。同时采用直流潮流法进行潮流计算和过负荷校验,提高了计算精度。模型考虑了N-1检验原则,满足了网络规划中对可靠性的起码要求,同时也很好地解决了系统有孤立节点和网络不连通时的规划问题。
A transmission network planning mathematical model based on genetic algorithms is presented in this thesis, which includes transmission line investment and network loss, Simulated annealing accuracy penalty fianetion is used to treat nonlinear constrained optimization problems, and constrains is dealt with by adaptive annealing penalty factors 8 penahy function to make the algorithm converge to feasible optima. Power flow calculation and overload calibration are conducted using direct current load flow to improve calculation accuracy. The model considers N-1 inspection principle, meets the requirements for reliahility in network planning. Meanwhile, the isolated node in grid and planning for network breaking are solved well.
出处
《陕西电力》
2008年第11期56-60,共5页
Shanxi Electric Power
关键词
遗传算法
电网
优化规划
genetic algorithm
grid
optimized planning
