基于鲸鱼优化算法的变电站照明系统智能优化研究  

Research on Intelligent Optimization of Substation Lighting System Based on Whale Optimization Algorithm

作　　者：赵振喜 刘锐 刘智兴 吴龙飞 刘春生 孙浩 杨彪 ZHAO Zhen-xi;LIU Rui;LIU Zhi-xing;WU Long-fei;LIU Chun-sheng;SUN Hao;YANG Biao(State Grid Jilin Electric Power Co.,Ltd.;NARI Technology Nanjing Control Systems Co.,Ltd.;Construction Branch of State Grid Jilin Electric Power Co.,Ltd.)

机构地区：[1]国网吉林省电力有限公司 [2]国电南瑞南京控制系统有限公司 [3]国网吉林省电力有限公司建设分公司

出　　处：《化工自动化及仪表》2024年第3期477-486,494,共11页Control and Instruments in Chemical Industry

基　　金：国网吉林省电力有限公司科技项目(批准号:522371210003)资助的课题。

摘　　要：针对现有照明系统存在的成本高、设备协同配合弱等问题,使用智能优化算法对变电站照明设备进行智能控制。根据变电站的工作状态、智能巡检系统及监控补光等需求确定照明优化目标,在窗户处设置测量节点获取全天各时段及不同天气状况下的自然光照条件,得出需要人工光源补充的照度值,以照明系统总照度为指标,使用一种改进鲸鱼优化算法求解满足照明需求的最低能耗方案。通过将随迭代次数变化的收敛因子改为非线性递减,并引入自适应惯性权重因子等策略来提高算法前期的全局搜索能力和后期局部求解精度,最后通过仿真实验将所提方法与不同算法进行比较。实验结果表明,所提出的算法能够有效求解变电站照明的多设备多目标优化问题,并具有较高求解精度和较快收敛速度,能够在满足变电站照明需求的同时有效降低能耗,具有较高实用价值。Aiming at high cost and weak collaboration of devices in the existing lighting system,the intelligent optimization algorithm was adopted for intelligent control of substation lighting facilities.In which,basing on working conditions of the substation,intelligent inspection system and requirements for monitoring supplementary lighting,the lighting optimization target was determined and a measurement node set at the window can obtain the natural lighting conditions at different times of the day and under different weather conditions,and the illuminant value that needing to be supplemented by artificial light source was obtained,including having total illuminant of the lighting system taken as the index,an improved whale optimization algorithm adopted to solve the minimum energy consumption scheme so as to meet lighting requirements.Through changing convergence factor with the number of iterations to nonlinear decreasing,and introducing adaptive inertia weight factor and other strategies,the global search ability of the algorithm in the early stage and the local solution accuracy in the later stage were improved.Finally,simulation experiments were carried out to compare the proposed method with different algorithms.The experimental results show that,the proposed algorithm can effectively solve multi-device and multi-objective optimization problem of substation lighting,and it has high solution accuracy and fast convergence speed,effectively reduces energy consumption while meeting the needs of substation lighting and has high practical value.

关 键 词：变电站照明系统 智慧变电站 智能优化 鲸鱼优化算法 智能巡检 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]