含分布式電源的配電網(wǎng)多目標(biāo)供電恢復(fù)
本文選題:分布式發(fā)電 + 供電恢復(fù) ; 參考:《電網(wǎng)技術(shù)》2014年07期
【摘要】:為充分發(fā)揮分布式電源的優(yōu)勢,進(jìn)一步提高配電網(wǎng)的供電可靠性,提出考慮分布式電源孤島運(yùn)行的多目標(biāo)供電恢復(fù)算法。在分析含分布式發(fā)電配網(wǎng)故障到供電恢復(fù)流程的基礎(chǔ)上,采用二進(jìn)制粒子群算法搜索Pareto非支配解獲得供電恢復(fù)方案。根據(jù)對開關(guān)動作次數(shù)和網(wǎng)損側(cè)重點不同,為減少Pareto非支配解的數(shù)目,可分別優(yōu)先考慮負(fù)荷損失最少、開關(guān)動作次數(shù)最少和負(fù)荷損失最少、網(wǎng)損最小為目標(biāo)得到Pareto非支配解,然后分別計算網(wǎng)損、開關(guān)動作次數(shù),從中選擇非劣解,兼顧了供電恢復(fù)過程中負(fù)荷損失、開關(guān)動作次數(shù)和網(wǎng)絡(luò)損耗。方法可生成具體供電恢復(fù)方案由用戶根據(jù)情況靈活選擇。最后通過IEEE 33節(jié)點測試系統(tǒng)驗證了算法的有效性。
[Abstract]:In order to give full play to the advantages of distributed power supply and further improve the reliability of distribution network, a multi-objective power supply recovery algorithm considering the island operation of distributed power supply is proposed. Based on the analysis of the flow of power supply recovery including the fault of distributed generation and distribution network, binary particle swarm optimization (BPSO) algorithm is used to search the Pareto non-dominated solution to obtain the power supply recovery scheme. In order to reduce the number of Pareto non-dominant solutions, the least load loss, the least number of switching operations and the least load loss can be considered respectively, and the Pareto non-dominant solution can be obtained by minimizing the network loss according to the number of switching actions and the emphasis of the network loss. Then, the network loss and switching operation times are calculated, and the non-inferior solution is selected, which takes into account the load loss, switch action number and network loss during the recovery of power supply. The method can generate specific power supply recovery scheme, which can be flexibly selected by the user according to the situation. Finally, the effectiveness of the algorithm is verified by IEEE 33 bus test system.
【作者單位】: 華北電力大學(xué)電氣與電子工程學(xué)院;
【基金】:國家重點基礎(chǔ)研究發(fā)展計劃項目(973項目)(2012CB215200) 國家自然科學(xué)基金資助項目(51307059) 中央高;究蒲袠I(yè)務(wù)費專項資金資助(2014MS86)~~
【分類號】:TM732
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