基于鲸鱼优化算法的低压机组双层容量参数辨识

打开文本图片集

中图分类号：TN919-34；TP391 文献标识码：A 文章编号：1004-373X（2026）09-0122-05

Abstract：Alow-voltageunit double-layercapacityparameteridentificationmethodbasedonwhaleoptimizationalgorithm （WOA）is proposedtoaccuratelyrespond toloadchanges.Adouble-layeroptimizationscheduling modelforlow-voltageunitsis constructedandtheunitcapacityparametersettobeidentifiedisobtained.Theoptimalobservationdataisdeterminedby calculating thetrajectorysensitivityetweentheunitcapacityparametersetandtheoutputcharacteristicsofthelow-voltage units，andthentheWOAisusedtominimizetheerorbetweentheobservationdataandthemeasureddata，soastodetermine theoptimalunitcapacityparametersand complete parameter identification.Theexperimentsshowthatthe proposemethodcan achieveacurateidentificationofunitcapacityparametersatdiferenttimeperiods，ndthetotalschedulingost，netwoklo， and load deviation of the double-layer optimization scheduling method have been reduced by 22.93%， 27.14% ，and 2.85% respectively，incomparisonwithworkingcondition1.Theproposedmethodefectivelyimproves theeficiencyandperformance ofthelow-voltageunitsand providespowerfulsupportforstableoperationandeficient managementof thelow-voltageunits.

Keywords：WOA;sourceloadmatchingdegree;loadfluctuation;trajectorysensitivity;unitcapacityparameter;lowvoltageunit

0 引言

对低压机组容量参数进行辨识是实现机组运行状态预测和控制的重要手段[1-3，不仅能够为低压机组的优化调度和运行策略提供核心数据支持，而且可以推动电力资源的优化配置4-5]，确保机组在安全、稳定且经济的状态下高效运行。（剩余5801字）