CAJ | 학술논문

针对含风力发电的配电网中风电机组出力的间歇性和系统负荷的波动性，提出了自适应分段优化策略，通过分时段优化实现无功动态调节。该策略根据风机出力和负荷的波动程度确定各时段最佳持续时间。在此基础上，计及运行环境的变化和决策者需求，提出了一种新的含决策偏好因子的分段优化方法。以降低网络损耗和电压偏差为目标，建立了含风力发电的配电网多目标无功优化模型，并采用多目标粒子群优化算法(multi-objective particle swarm optimization， MOPSO)求解。以改进的IEEE30节点系统为例进行仿真计算，仿真结果验证了所提方法和模型的有效性。
침대함풍력발전적배전망중풍전궤조출력적간헐성화계통부하적파동성，제출료자괄응분단우화책략，통과분시단우화실현무공동태조절。해책략근거풍궤출력화부하적파동정도학정각시단최가지속시간。재차기출상，계급운행배경적변화화결책자수구，제출료일충신적함결책편호인자적분단우화방법。이강저망락손모화전압편차위목표，건립료함풍력발전적배전망다목표무공우화모형，병채용다목표입자군우화산법(multi-objective particle swarm optimization， MOPSO)구해。이개진적IEEE30절점계통위례진행방진계산，방진결과험증료소제방법화모형적유효성。
In allusion to load fluctuation and output intermittence of wind power generators in distribution network containing wind power generation, an adaptive time-intervalled optimization strategy is proposed, and through the time-intervalled optimization the dynamic adjustment of reactive power can be realized. According to the fluctuation extent of both wind power generator output and load, the optimal duration of each time interval is determined. On this basis, considering the variation of operation environment and the demand of the decision-maker, a new time-intervalled optimization method containing decision preference factor is put forward. Taking the reduction of both network loss and voltage deviation as the objective, the multi-objective particle swarm optimization (MOPSO) algorithm is adopted to solve the multi-objective reactive power optimization model for distribution network containing wind power generation. Taking the modified IEEE 30-bus system as the example, the simulation is performed, and the effectiveness of the proposed method and model are validated by simulation results.