中国电机工程学报
中國電機工程學報
중국전궤공정학보
ZHONGGUO DIANJI GONGCHENG XUEBAO
2012年
4期
136-144
,共9页
杨林峰%简金宝%韩道兰%全然
楊林峰%簡金寶%韓道蘭%全然
양림봉%간금보%한도란%전연
电力系统%最优潮流%中心参数%多中心校正%内点算法
電力繫統%最優潮流%中心參數%多中心校正%內點算法
전력계통%최우조류%중심삼수%다중심교정%내점산법
power system%optimal power flow(OPF)%centering parameter%multiple centrality corrections%interior point method(IPM)
为加快最优潮流(optimal power flow,OPF)问题的求解,基于最优中心参数(optimal centering parameter,OCP)及改进多中心校正(improved multiple centrality corrections,IMCC)技术,提出一种求解最优潮流(optimal power flow,OPF)问题的新型快速内点算法(OCP-IMCC interior point method,OCP-IMCCIPM)。结合均衡距离–评价函数(equilibrium distance-quality function,ED-QF),给出最优中心参数评价模型,采用线性化技术对模型近似,以降低模型计算量。利用线搜索技术实现近似模型求解以确定最优中心参数,该参数使得所提算法具有更多的优势步和更少的迭代次数。IMCC技术可进一步拉大迭代步(尤其是非优势步)步长,实现算法更快收敛。14—1047节点系统的仿真结果表明,与其他多种内点算法相比,所提OCP-IMCCIPM算法具有更大的迭代步长和更快的收敛速度以及更好的计算效果。
為加快最優潮流(optimal power flow,OPF)問題的求解,基于最優中心參數(optimal centering parameter,OCP)及改進多中心校正(improved multiple centrality corrections,IMCC)技術,提齣一種求解最優潮流(optimal power flow,OPF)問題的新型快速內點算法(OCP-IMCC interior point method,OCP-IMCCIPM)。結閤均衡距離–評價函數(equilibrium distance-quality function,ED-QF),給齣最優中心參數評價模型,採用線性化技術對模型近似,以降低模型計算量。利用線搜索技術實現近似模型求解以確定最優中心參數,該參數使得所提算法具有更多的優勢步和更少的迭代次數。IMCC技術可進一步拉大迭代步(尤其是非優勢步)步長,實現算法更快收斂。14—1047節點繫統的倣真結果錶明,與其他多種內點算法相比,所提OCP-IMCCIPM算法具有更大的迭代步長和更快的收斂速度以及更好的計算效果。
위가쾌최우조류(optimal power flow,OPF)문제적구해,기우최우중심삼수(optimal centering parameter,OCP)급개진다중심교정(improved multiple centrality corrections,IMCC)기술,제출일충구해최우조류(optimal power flow,OPF)문제적신형쾌속내점산법(OCP-IMCC interior point method,OCP-IMCCIPM)。결합균형거리–평개함수(equilibrium distance-quality function,ED-QF),급출최우중심삼수평개모형,채용선성화기술대모형근사,이강저모형계산량。이용선수색기술실현근사모형구해이학정최우중심삼수,해삼수사득소제산법구유경다적우세보화경소적질대차수。IMCC기술가진일보랍대질대보(우기시비우세보)보장,실현산법경쾌수렴。14—1047절점계통적방진결과표명,여기타다충내점산법상비,소제OCP-IMCCIPM산법구유경대적질대보장화경쾌적수렴속도이급경호적계산효과。
Aim to improve the efficiency of solving optimal power flow(OPF) problem,a new quickly interior point method(IPM) was presented based on the techniques of optimal centering parameter(OCP) and improved multiple centrality corrections(IMCC).Named as OCP-IMCCIPM,the proposed method integrates equilibrium distance-quality function(ED-QF) to establish a mathematical model for evaluating centering parameter.And the approximate expression of this model,which can be solved with fewer computations than the original one,was proposed using the linearization technique.After solving the approximate model with the line search technique,the OCPs could be obtained for the proposed method to owning more dominant steps and less number of iterations than other IPMs.With using IMCC,iteration step length,especially for no dominant step,could be pulling long to accelerate the convergence of iteration.The simulation results for systems that range in size from 14 to 1047 buses show that the proposed algorithm provides longer iteration step length,better speed and results than many other existing IPMs.