CAJ | 학술논문

研究了含双馈异步电机( DFIG)型风电场的配电网无功优化. DFIG出力的随机性使得传统无功优化模型难以胜任. 因此,应用场景分析法对含DFIG的配电网进行场景划分. 采用蒙克卡罗仿真对其进行无功补偿选址,结合DFIG的无功补偿能力,建立了模糊无功优化模型,以降低网损、减少电压偏移量. 最后,以IEEE 33为测试系统,基于量子粒子群算法( QPSO)进行求解,结果验证了所提方法的可行性和有效性.
연구료함쌍궤이보전궤( DFIG)형풍전장적배전망무공우화. DFIG출력적수궤성사득전통무공우화모형난이성임. 인차,응용장경분석법대함DFIG적배전망진행장경화분. 채용몽극잡라방진대기진행무공보상선지,결합DFIG적무공보상능력,건립료모호무공우화모형,이강저망손、감소전압편이량. 최후,이IEEE 33위측시계통,기우양자입자군산법( QPSO)진행구해,결과험증료소제방법적가행성화유효성.
This paper studies on the reactive power optimization in distribution network of the wind farm, which con-tains doubly-fed induction generators.Considering the random output of DFIG, it' s difficult to dispose reactive power optimization by the traditional model.Therefore, scenario analysis is applied to analyze the distribution network with DFIG.And Monte Carlo simulation is used to select the location of reactive power compensation for distribution net-work.Considering the reactive power compensation capability of DFIG, a fuzzy reactive power optimization model was built to reduce the system network loss and restrict voltage deviation.Finally, the IEEE 33-node system was used as a test case, and it was solved based on Quantum particle swarm optimization.The result proves the feasibility and valid-ity of the proposed method in this paper.