电力系统及其自动化学报
電力繫統及其自動化學報
전력계통급기자동화학보
PROCEEDINGS OF THE CHINESE SOCIETY OF UNIVERSITIES
2010年
1期
106-110,125
,共6页
粒子群算法%拉格朗日乘数法%短期发电计划%电力系统
粒子群算法%拉格朗日乘數法%短期髮電計劃%電力繫統
입자군산법%랍격랑일승수법%단기발전계화%전력계통
particle swarm optimization (PSO) algorithm%Lagrange multipliers method%short-term generation scheduling%power system
电力系统短期发电计划研究是一个离散、复杂、多维的非线性整数规划问题,求解非常困难.采用改进的粒子群(particle swarm optimization ,PSO)算法通过线性改变权重因子,连续变量离散化,以及增加第二最优项用于求解最优机组组合问题;拉格朗日乘数法适合于多维函数在约束条件下的求解极值问题,用于求解各机组在各时段的经济出力.方法的可行性通过10机系统中检验.仿真结果表明,该方法能够求得高质量解,减少机组运行费用,具有有效性和可行性.
電力繫統短期髮電計劃研究是一箇離散、複雜、多維的非線性整數規劃問題,求解非常睏難.採用改進的粒子群(particle swarm optimization ,PSO)算法通過線性改變權重因子,連續變量離散化,以及增加第二最優項用于求解最優機組組閤問題;拉格朗日乘數法適閤于多維函數在約束條件下的求解極值問題,用于求解各機組在各時段的經濟齣力.方法的可行性通過10機繫統中檢驗.倣真結果錶明,該方法能夠求得高質量解,減少機組運行費用,具有有效性和可行性.
전력계통단기발전계화연구시일개리산、복잡、다유적비선성정수규화문제,구해비상곤난.채용개진적입자군(particle swarm optimization ,PSO)산법통과선성개변권중인자,련속변량리산화,이급증가제이최우항용우구해최우궤조조합문제;랍격랑일승수법괄합우다유함수재약속조건하적구해겁치문제,용우구해각궤조재각시단적경제출력.방법적가행성통과10궤계통중검험.방진결과표명,해방법능구구득고질량해,감소궤조운행비용,구유유효성화가행성.
Short-term generation scheduling is a discrete, complexes and nonlinear mixed programming problem, it is difficult to solution it. This paper presented improved PSO mechanism use linier change weight factor, discredited continuous variables and add the second optimal part to solve optimal unit commitment; Lagrange multipliers method is suit for Multivariable Function solve the extremal problems on base of the multi-restrictions , use it to solve economic dispatch problem. The feasibility of this method demonstrated by the 10 unit system simulation. The simulation results show the proposed method can find the solution quickly, reduce the total units costs and had validity and feasibility.
