电力系统自动化
電力繫統自動化
전력계통자동화
AUTOMATION OF ELECTRIC POWER SYSTEMS
2011年
19期
43-48
,共6页
负荷恢复%电力系统恢复%排序%组合优化%自适应粒子群算法
負荷恢複%電力繫統恢複%排序%組閤優化%自適應粒子群算法
부하회복%전력계통회복%배서%조합우화%자괄응입자군산법
load restoration%power system restoration%sequencing%combinatorial optimization%adaptive particle swarmoptimization algorithm
大停电后网架重构的最后阶段,负荷的全面快速恢复应在满足约束的前提下分阶段顺序进行,是一个多约束、非线性的整数规划问题。文中建立了考虑多负荷点投入顺序的组合优化模型,在目标函数中计及了负荷投入顺序的影响,综合考虑了不同顺序下频率、电压、机组出力限值及稳态潮流等多个约束条件,并提出一种校验暂态电压下降约束的简化方法。由于网络重构后期待恢复负荷点的优化范围较大,采用一种自适应粒子群算法对模型进行求解,通过分析个体极值的优劣实现优化过程中参数的自适应调整。山东电网仿真结果表明,上述模型能有效反映负荷的投入顺序,且算法的优化速度能满足实际工程要求。
大停電後網架重構的最後階段,負荷的全麵快速恢複應在滿足約束的前提下分階段順序進行,是一箇多約束、非線性的整數規劃問題。文中建立瞭攷慮多負荷點投入順序的組閤優化模型,在目標函數中計及瞭負荷投入順序的影響,綜閤攷慮瞭不同順序下頻率、電壓、機組齣力限值及穩態潮流等多箇約束條件,併提齣一種校驗暫態電壓下降約束的簡化方法。由于網絡重構後期待恢複負荷點的優化範圍較大,採用一種自適應粒子群算法對模型進行求解,通過分析箇體極值的優劣實現優化過程中參數的自適應調整。山東電網倣真結果錶明,上述模型能有效反映負荷的投入順序,且算法的優化速度能滿足實際工程要求。
대정전후망가중구적최후계단,부하적전면쾌속회복응재만족약속적전제하분계단순서진행,시일개다약속、비선성적정수규화문제。문중건립료고필다부하점투입순서적조합우화모형,재목표함수중계급료부하투입순서적영향,종합고필료불동순서하빈솔、전압、궤조출력한치급은태조류등다개약속조건,병제출일충교험잠태전압하강약속적간화방법。유우망락중구후기대회복부하점적우화범위교대,채용일충자괄응입자군산법대모형진행구해,통과분석개체겁치적우렬실현우화과정중삼수적자괄응조정。산동전망방진결과표명,상술모형능유효반영부하적투입순서,차산법적우화속도능만족실제공정요구。
During the last stage of network reconfiguration after a major blackout, the quick all-round load restoration with the constraints satisfied by stages in proper order is a multi-constraint, non-linear, and integer programming problem. A combinatorial optimization model is developed with the sequencing problem o[ load pickup taken into account. The effects o[ pickup sequence are taken into account in the objective function. Multiple constraint conditions such as the frequency, voltage, unit output limit and power flow in different sequences are comprehensively considered. In addition, a method for simplifying transient voltage dip constraint check is presented. Owing to the rather large optimization range of the to-be-restored loads in the later stage of network reconfiguration, a new adaptive particle swarm optimization algorithm is adopted to solve the model proposed. The adaptive adjustment of parameters is carried out by comparing the quality of individual extrema in the iterativc process. Case studies performed on the actual Shandong power system demonstrate that the model proposed can effectively reflect the sequencing problem and the algorithm adopted can satisfy the practical requirements on computation speed.