CAJ | 학술논문

研究了考虑大型风电场接入的电力系统无功优化问题。针对风电场接入时的无功优化模型，分析讨论了接入风电场的系统无功潮流计算，提出了一种改进遗传算法解决传统遗传算法在无功优化中面临的问题。采用混合编码方式处理连续变量和离散变量共存，利用自适应交叉和变异操作提高算法的搜索能力和跳出局部最优解的能力，利用精英代保持进化策略提高算法的可靠性和鲁棒性，在IEEE30标准系统引入风电场验证了该算法的适用性。
연구료고필대형풍전장접입적전력계통무공우화문제。침대풍전장접입시적무공우화모형，분석토론료접입풍전장적계통무공조류계산，제출료일충개진유전산법해결전통유전산법재무공우화중면림적문제。채용혼합편마방식처리련속변량화리산변량공존，이용자괄응교차화변이조작제고산법적수색능력화도출국부최우해적능력，이용정영대보지진화책략제고산법적가고성화로봉성，재IEEE30표준계통인입풍전장험증료해산법적괄용성。
Reactive optimization of power system connected to large wind farm is investigated in this paper. Calculation on reactive power flow of the system connected to wind farm is analyzed and discussed. The paper proposes an improved genetic algorithm to solve problems in conventional reactive power. The mixed code ap-proach is employed to coordinate the coexistence of continuous variables and discrete variables. By using self-adaptive crossing and mutation, the abilities of searching and skipping from local optimal solution; by using elite generation, the revolution strategy is maintained to improve the reliability and robustness of the algorithm. In the final, the wind farm is introduced to IEEE30 to verify the effectiveness and adaptability of the method.