电力系统保护与控制
電力繫統保護與控製
전력계통보호여공제
POWER SYSTM PROTECTION AND CONTROL
2015年
9期
82-88
,共7页
刘前进%许慧铭%施超%韦胜旋
劉前進%許慧銘%施超%韋勝鏇
류전진%허혜명%시초%위성선
教与学优化算法%无功优化规划%能量损失%多负荷水平%自适应小波变异
教與學優化算法%無功優化規劃%能量損失%多負荷水平%自適應小波變異
교여학우화산법%무공우화규화%능량손실%다부하수평%자괄응소파변이
teaching-learning-based optimization algorithm%optimal reactive power planning%energy loss%multi-load levels%self-adaptive wavelet mutation
以多负荷水平的全年能量损失最小为目标函数，提出一种改进教与学优化方法求解电力系统无功优化问题。教与学方法是一种新颖的无控制参数的群智能算法，包括教阶段和学阶段。为了克服局部收敛，改进教与学方法在此基础上提出一种基于自适应小波变异策略的改进阶段改善算法的性能并在IEEE-30节点系统进行仿真。结果与其他算法进行比较，验证了该算法的优越性。表明该方法是大规模电力系统可推广使用的有效方法。
以多負荷水平的全年能量損失最小為目標函數，提齣一種改進教與學優化方法求解電力繫統無功優化問題。教與學方法是一種新穎的無控製參數的群智能算法，包括教階段和學階段。為瞭剋服跼部收斂，改進教與學方法在此基礎上提齣一種基于自適應小波變異策略的改進階段改善算法的性能併在IEEE-30節點繫統進行倣真。結果與其他算法進行比較，驗證瞭該算法的優越性。錶明該方法是大規模電力繫統可推廣使用的有效方法。
이다부하수평적전년능량손실최소위목표함수，제출일충개진교여학우화방법구해전력계통무공우화문제。교여학방법시일충신영적무공제삼수적군지능산법，포괄교계단화학계단。위료극복국부수렴，개진교여학방법재차기출상제출일충기우자괄응소파변이책략적개진계단개선산법적성능병재IEEE-30절점계통진행방진。결과여기타산법진행비교，험증료해산법적우월성。표명해방법시대규모전력계통가추엄사용적유효방법。
Taking the minimum total year energy loss as an objective function, a modified teaching-learning-based optimization (MTLBO) algorithm is proposed for reactive optimization of power systems. The proposed teaching-learning optimization algorithm is a new population-based optimization method which includes two phases: teacher phase and learner phase. To overcome local convergence, a new phase called “modified phase” based on a self-adaptive wavelet mutation strategy is added to the algorithm to improve the performance. The proposed method is applied to IEEE-30 bus test system and the simulation results are compared with other algorithms which verify the superiority of the proposed method. It shows that this method is an effective method for large-scale power system application.
