CAJ | 학술논문

　　为了充分利用风能，提高分布式风电源在配电网规划中的经济性和可靠性，提出一种分布式风电源(DWG)和联络线协调规划的方法。先通过分析DWG和联络线之间位置不同对供电可靠性的影响，提出了考虑DWG和联络线影响的事故负荷损耗指标(CLLI)评估算法。在此基础上建立分布式风电源和联络线投资综合最小、网损最小以及供电可靠性最佳的多目标规划模型，应用非劣排序遗传算法优化得到分布式风电源的位置、容量和联络线的位置。IEEE33算例结果表明，该方法能得到合理的分布式风电源位置容量与联络线位置方案。
　　위료충분이용풍능，제고분포식풍전원재배전망규화중적경제성화가고성，제출일충분포식풍전원(DWG)화련락선협조규화적방법。선통과분석DWG화련락선지간위치불동대공전가고성적영향，제출료고필DWG화련락선영향적사고부하손모지표(CLLI)평고산법。재차기출상건립분포식풍전원화련락선투자종합최소、망손최소이급공전가고성최가적다목표규화모형，응용비렬배서유전산법우화득도분포식풍전원적위치、용량화련락선적위치。IEEE33산례결과표명，해방법능득도합리적분포식풍전원위치용량여련락선위치방안。
In order to make the best use of wind power and improve the economy and reliability of distributed wind generation (DWG) in the distribution network planning, a coordinated planning of tie lines and DWG is developed. First, by analyzing the influence of different locations of DWGs and the tie lines on the power distribution reliability, the contingency load loss index (CLLI) algorithm is proposed. On this basis, a multi-objective planning model is developed with a minimum DWG and tie line cost and network loss as well as the optimal reliability. The non-dominated sorting genetic algorithm is used to get the location and capacity of DWG and the location of tie lines. IEEE 33-bus system shows that the method proposed is reliable and effective in the determination of the location and capacity of DWG and the location of tie lines.