摘要
电力是我国能源战略的中心,提高电气化水平已经成为优化能源结构、提高能源效率的根本举措。针对当前电力需求量的持续增长,电力生产和消费同步进行的特点,寻求发电成本的投入与负荷增长的最优平衡状态,以减少不必要的能源消耗,保证在电网安全稳定运行及发电运行成本最优的同时得到理想的负荷裕度。因此提出计及电力系统发电成本和负荷裕度的多目标最优潮流方法,并采用PARETO方法分析多目标函数的优化问题,然后采用拉格朗日乘子法(Augmented Lagrangian Methods)进行求解,并结合IEEE14节点结构及数据,通过MATLAB仿真,验证了该算法的有效性,并实现多目标最优潮流的稳定运行状态。
Electricity is essential in China’s energy strategy,which makes electrification a fundamental measure to optimize energy structure and improve energy efficiency.Considering the growing electricity demand and the synchronous power generation and consumption,this paper studied on the optimal balance between power generation cost and load growth,in which energy waste can be reduced to the minimal and an ideal load margin can be obtained on the premise of safe and stable operation of the power grid and the lowest power generation cost.Therefore,this paper proposed a multi-objective optimal power flow(OPF)algorithm,which adopted PARETO to optimize the problems of multi-objective functions and applied Lagrangian multiplier method to solve them.This paper achieved multi-objective OPF optimization by verifying the algorithm through MATLAB simulation combined with IEEE14 node structure and data.
作者
陈政琦
艾欣
CHEN Zhengqi;AI Xin(State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,North China Electric Power University,Beijing 102206,China)
出处
《华北电力大学学报（自然科学版）》
CAS
北大核心
2019年第3期26-32,共7页
Journal of North China Electric Power University：Natural Science Edition
基金
国家重点研发计划项目(2016YFB0900500)
北京市自然科学基金项目(3182037)
关键词
发电成本
负荷裕度
拉格朗日乘子法
多目标最优潮流
power generation cost
load margin
Lagrangian multiplier method
multi-objective optimal power flow
