电网技术
電網技術
전망기술
POWER SYSTEM TECHNOLOGY
2013年
9期
2573-2579
,共7页
丛鹏伟%唐巍%张璐%白牧可%盛万兴%史常凯
叢鵬偉%唐巍%張璐%白牧可%盛萬興%史常凱
총붕위%당외%장로%백목가%성만흥%사상개
配电网重构%分布式电源%多状态%机会约束规划%蚁群算法
配電網重構%分佈式電源%多狀態%機會約束規劃%蟻群算法
배전망중구%분포식전원%다상태%궤회약속규화%의군산법
distribution network reconfiguration%DG%multi-state%chance-constrained programming%ant colony algorithm
分布式电源(distributed generation,DG)的大规模接入使配电网成为有源网络,风力、光伏具有出力随机的特点,传统的配电网重构方法不能完全适用含DG的配电网。考虑自然资源和负荷的随机性,依据概率密度函数分别对不可控DG和负荷建立了多状态模型,进而获得了配电系统的多状态模型。以开关状态为优化变量,高于置信水平的网络损耗最小为目标函数,节点电压和支路功率越限概率满足置信水平要求为约束条件,建立了含多种DG的配电网重构机会约束规划模型。基于生成树策略搜索网络结构,应用改进蚁群算法进行求解。算例结果验证了该模型和算法的有效性。
分佈式電源(distributed generation,DG)的大規模接入使配電網成為有源網絡,風力、光伏具有齣力隨機的特點,傳統的配電網重構方法不能完全適用含DG的配電網。攷慮自然資源和負荷的隨機性,依據概率密度函數分彆對不可控DG和負荷建立瞭多狀態模型,進而穫得瞭配電繫統的多狀態模型。以開關狀態為優化變量,高于置信水平的網絡損耗最小為目標函數,節點電壓和支路功率越限概率滿足置信水平要求為約束條件,建立瞭含多種DG的配電網重構機會約束規劃模型。基于生成樹策略搜索網絡結構,應用改進蟻群算法進行求解。算例結果驗證瞭該模型和算法的有效性。
분포식전원(distributed generation,DG)적대규모접입사배전망성위유원망락,풍력、광복구유출력수궤적특점,전통적배전망중구방법불능완전괄용함DG적배전망。고필자연자원화부하적수궤성,의거개솔밀도함수분별대불가공DG화부하건립료다상태모형,진이획득료배전계통적다상태모형。이개관상태위우화변량,고우치신수평적망락손모최소위목표함수,절점전압화지로공솔월한개솔만족치신수평요구위약속조건,건립료함다충DG적배전망중구궤회약속규화모형。기우생성수책략수색망락결구,응용개진의군산법진행구해。산례결과험증료해모형화산법적유효성。
Large-scale integration of distributed generation (DG) makes distribution network becoming active network, and due to the feature of output randomness of wind farm and photovoltaic (PV) generation traditional distribution network reconfiguration methods are not suitable for distribution network containing DG. Considering the randomness of natural resources and power load, according to probability density function the multi-state models for uncontrollable DG and load are established respectively, and then the multi-state model of distribution network is achieved. Taking switch states as optimization variable, the minimum network loss higher than confidence level as objective function and out-of-limit probability of nodal voltage and branch power, which meets the requirement of confidence level, as constraints, a chance-constrained programming based reconfiguration model for distribution network containing multi DGs is built. The structure of the distribution network is searched by the strategy of spanning tree, and the built model is solved by the improved ant colony algorithm. The validity of the proposed method and model for distribution network reconfiguration containing DGs is verified by simulation results of IEEE 33-bus system connecting with wind power generators.