电网技术2001，Vol.25Issue(6)：25-28,4.
基于最优潮流的实时电价及其遗传算法实现
CALCULATION OF SPOT PRICE BASED ONOPTIMAL POWER FLOW SOLVED BY GENETIC ALGORITHM
摘要
Abstract
On the basis of decoupled optimal power flow (OPF) of distributed buses a flexible model for spot prices is deduced while the OPF is solved by Genetic Algorithm (GA). By use of augmented Lagrangian Multiplier Methodology the OPF is unrestrained, the equality- and inequality-restraint of OPF can be integrated with original objective function by this methodology. Through the Lagrangian Multiplier which has abundant economic meaning the various restraint factors can be transformed into components of the spot price. Then the Lagrangian function is operated on by GA and the solution of OPF is obtained. Finally, based on the spot price model the electricity prices at each bus are found. The another content of this paper is to calculate the practical power flow distribution caused by the power injected into each bus in transmission network, and the fixed transmission cost is apportioned according to the practical power flow distribution. The proposed model is tested in IEEE 14-bus standard system, the results show that this model has good performance and can be used in practice.关键词
电力市场/实时电价/遗传算法/最优潮流/Lagrangian乘子法分类
信息技术与安全科学引用本文复制引用
薛志方,李光熹..基于最优潮流的实时电价及其遗传算法实现[J].电网技术,2001,25(6):25-28,4.
