中文摘要：

变电站的空调和照明系统节电潜力巨大,本文首次尝试从年节电量、投资成本和年支出费用等角度对变电站空调和照明系统的改造进行优化建模研究。首先,对分布在变电站各场所的空调和照明设备的功率、特点、用电规律及利用率等进行研究,并根据设备的安装位置、特点、用电规律和利用率等分别将空调和照明系统分为3类和5类;然后,以不同类别、不同功率的空调和照明设备的改造数量为控制变量,空调和照明系统的年支出费用最小为目标函数,建立综合考虑年节电量、投资成本和分布在变电站各场所的空调和照明设备的功率、数量、运行时间等约束的节电改造优化模型;基于该模型的实际特点,采用整数编码的灾变遗传算法搜索全局最优解;最后,以某220k V有人值守变电站的空调和照明系统节电改造为例,验证了所提模型的理论与应用价值。

英文摘要：

Load of a air-conditioning and lighting in substation have great potential in electricity-saving. The paper,for the first time,attempts to establish an optimal model for electricity-saving reconstruction of air-conditioning and lighting in substation,which is established from the view of annual electricity-saving,investment,total annual expense,etc. First of all,the pattern of electric consumption using rules and equipment utilization of air-conditioning and lighting distributed in substations＇ various places are studied systematically. Further,air conditioning and lighting are categorized in three and five classes respectively based on the study. Then,an electricity-saving optimal model is established which takes annual minimum total expense as the objective,and the rebuilding number of air conditioning and lighting equipment of different categories and power as the control variables,satisfying with different annual electricity-saving,investment constraints,etc. Cataclysmic genetic algorithm with integer encoding is adopted to solve this problem. Finally,the theory and application value of the proposed model are verified by the living example.