电网技术
電網技術
전망기술
POWER SYSTEM TECHNOLOGY
2013年
7期
1834-1840
,共7页
谢夏慧%汪沨%卢鸣凯%陈春%陈奇朋%曹一家%董旭柱
謝夏慧%汪沨%盧鳴凱%陳春%陳奇朋%曹一傢%董旭柱
사하혜%왕풍%로명개%진춘%진기붕%조일가%동욱주
配电网%黑启动%分布式电源%启动顺序%重要负荷恢复%改进粒子群算法
配電網%黑啟動%分佈式電源%啟動順序%重要負荷恢複%改進粒子群算法
배전망%흑계동%분포식전원%계동순서%중요부하회복%개진입자군산법
distribution network%black start%DG%starting sequence%essential loads restoration%MPSO
分布式电源(distributed generation,DG)具有启动速度快、结构简单、反应灵活等特点,在配电网黑启动中发挥着重要作用。分析了在电网大面积停电情况下基于DG的配电网局部自我恢复方案。因DG的发电功率不能满足配电网中所有负荷的供电,首先在主网分区恢复方案下,根据DG的性能和重要负荷的分布对配电网进行划分;然后讨论了分区后DG启动顺序及恢复路径的优化,以保证能够在尽可能短的时间内恢复尽可能多的重要负荷。该方法以最小路径权值和最大重要负荷恢复量为目标,满足负荷的恢复量不超过DG发电量等约束条件,采用改进粒子群算法进行求解。算例结果验证了该方法的有效性。
分佈式電源(distributed generation,DG)具有啟動速度快、結構簡單、反應靈活等特點,在配電網黑啟動中髮揮著重要作用。分析瞭在電網大麵積停電情況下基于DG的配電網跼部自我恢複方案。因DG的髮電功率不能滿足配電網中所有負荷的供電,首先在主網分區恢複方案下,根據DG的性能和重要負荷的分佈對配電網進行劃分;然後討論瞭分區後DG啟動順序及恢複路徑的優化,以保證能夠在儘可能短的時間內恢複儘可能多的重要負荷。該方法以最小路徑權值和最大重要負荷恢複量為目標,滿足負荷的恢複量不超過DG髮電量等約束條件,採用改進粒子群算法進行求解。算例結果驗證瞭該方法的有效性。
분포식전원(distributed generation,DG)구유계동속도쾌、결구간단、반응령활등특점,재배전망흑계동중발휘착중요작용。분석료재전망대면적정전정황하기우DG적배전망국부자아회복방안。인DG적발전공솔불능만족배전망중소유부하적공전,수선재주망분구회복방안하,근거DG적성능화중요부하적분포대배전망진행화분;연후토론료분구후DG계동순서급회복로경적우화,이보증능구재진가능단적시간내회복진가능다적중요부하。해방법이최소로경권치화최대중요부하회복량위목표,만족부하적회복량불초과DG발전량등약속조건,채용개진입자군산법진행구해。산례결과험증료해방법적유효성。
In view of its advantages in fast start-up, simple structure and flexible response, distributed generation (DG) plays an important role in the black start of distribution network. A DG-based local self-recovery scheme for distribution network at post-blackout early stage of power grid restoration is analyzed. Since the DG cannot meet the demand of supplying all loads in distribution network, firstly under the partition recovery scheme of main grid the distribution network is partitioned according to the performance of DG and the distribution of essential loads; secondly the starting sequence of DG after the partitioning and the optimization of the restoration path are discussed to ensure that the power supply for as many as possible loads can be recovered within as short time period as possible. In the proposed model, in which the weight of minimum path and restoration of power supply for maximum essential loads are taken as objectives and the recovered power supply for loads not exceeding the generating capacity of DG is taken as one of constraints, is solved by the modified particle swarm optimization (MPSO). Simulation results of IEEE 33-bus system show that the proposed method is effective.