广东电力
廣東電力
엄동전력
GUANGDONG ELECTRIC POWER
2014年
1期
49-55
,共7页
柔性交流输电系统%无功补偿%容量计算%多目标优化%遗传算法
柔性交流輸電繫統%無功補償%容量計算%多目標優化%遺傳算法
유성교류수전계통%무공보상%용량계산%다목표우화%유전산법
flexible AC transmission system%reactive power compensation%capacity calculation%multi-objective optimiza-tion%genetic algorithm
如何根据电网的拓扑结构和实时负荷合理地确定柔性交流输电系统(flexible AC transmission systems, FACTS)装置的配置成为近年研究热点。为了能够在计算无功补偿的过程中考虑影响配置的多种因素,提出了多目标无功优化的计算方法。通过遗传算法,以有功功率损耗和投资这两个目标函数建立多目标数学寻优模型,并设定节点电压偏差评价函数为约束破坏函数。分析由前沿曲线得出的折中解可知：经过补偿后网络的有功功率损耗下降超过5%；而且采用遗传算法多目标进行无功配置后不仅能够有效地降低网络的有功功率损耗,还为决策者提供了多种配置选择,使得决策者可以根据实际需要选择恰当合适的补偿配置。在与经济压差法确定无功补偿容量的对比中,多目标优化方法虽然在降低有功功率损耗方面与经济压差法相差无几,但是设备投资则大为节省。
如何根據電網的拓撲結構和實時負荷閤理地確定柔性交流輸電繫統(flexible AC transmission systems, FACTS)裝置的配置成為近年研究熱點。為瞭能夠在計算無功補償的過程中攷慮影響配置的多種因素,提齣瞭多目標無功優化的計算方法。通過遺傳算法,以有功功率損耗和投資這兩箇目標函數建立多目標數學尋優模型,併設定節點電壓偏差評價函數為約束破壞函數。分析由前沿麯線得齣的摺中解可知：經過補償後網絡的有功功率損耗下降超過5%；而且採用遺傳算法多目標進行無功配置後不僅能夠有效地降低網絡的有功功率損耗,還為決策者提供瞭多種配置選擇,使得決策者可以根據實際需要選擇恰噹閤適的補償配置。在與經濟壓差法確定無功補償容量的對比中,多目標優化方法雖然在降低有功功率損耗方麵與經濟壓差法相差無幾,但是設備投資則大為節省。
여하근거전망적탁복결구화실시부하합리지학정유성교류수전계통(flexible AC transmission systems, FACTS)장치적배치성위근년연구열점。위료능구재계산무공보상적과정중고필영향배치적다충인소,제출료다목표무공우화적계산방법。통과유전산법,이유공공솔손모화투자저량개목표함수건립다목표수학심우모형,병설정절점전압편차평개함수위약속파배함수。분석유전연곡선득출적절중해가지：경과보상후망락적유공공솔손모하강초과5%；이차채용유전산법다목표진행무공배치후불부능구유효지강저망락적유공공솔손모,환위결책자제공료다충배치선택,사득결책자가이근거실제수요선택흡당합괄적보상배치。재여경제압차법학정무공보상용량적대비중,다목표우화방법수연재강저유공공솔손모방면여경제압차법상차무궤,단시설비투자칙대위절성。
It is a hot research topic in recent years to reasonably ensure configuration of flexible AC transmission system ac-cording to topology structure of power grid and real-time load.For considering various factors which may affect configura-tion when calculating reactive power compensation,this paper proposes a kind of calculation method based on multi-objec-tive reactive power optimization which is using genetic algorithm and two target functions including active power loss and in-vestment to establish a multi-objective mathematic optimizing model.Meanwhile,it sets node voltage bias evaluation function as constraint violation function.By analyzing the compromise solution gained from frontier curve,it concludes that active power loss of the compensated grid declines over 5%.In addition,by using genetic algorithm and multi-objective optimiza-tion to conduct reactive power configuration,active power loss of the grid is effectively reduced and several configuration choices are useful to be provided for decision makers to select proper and suitable compensation configuration according to practical requirements.In comparison of economic pressure differential method for ensuring reactive compensation capacity, the multi-objective optimization is useful to save equipment investment although it is of the same effectiveness in reducing ac-tive power loss as economic pressure differential method.
