| 引用本文: | 蒋伟俊,蒋文平,陈孝明,等.基于改进淘金算法的变电站巡检路径两阶段规划方法[J].电力系统保护与控制,2025,53(16):1-13.[点击复制] |
| JIANG Weijun,JIANG Wenping,CHEN Xiaoming,et al.Two-stage substation inspection path planning method based on improved gold rush optimizer[J].Power System Protection and Control,2025,53(16):1-13[点击复制] |
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| 摘要: |
| 为适应电力需求的持续增长，国网各省市公司新建、扩建变电站的数量正逐年递增，部分地市供电公司面临变电运检人员承载力不足、日常巡检任务重的紧张局面。为给基层一线员工巡检维护工作减负增效，提出了一种基于改进淘金算法的变电站巡检路径两阶段规划方法。首先，针对新兴的淘金算法提出一种改进策略，通过引入淘金者自由探索行为和基于余弦形式的收敛因子来提高其搜索效率和全局寻优能力，用于后续变电站巡检路径两阶段规划模型求解。其次，构建“多队同行”和“单队出行”两种变电站巡检模型，预设路线最长通行时限、巡视类型和车辆数等巡检参数，利用改进的淘金算法优化筛选出基准出行模型。再次，基于基准出行模型，结合“多队同行”和“单队出行”两类模型各自出行优势，对各路线实施二次优化，确定出周期内总用时最少的变电站最优巡检路径。最后，分别对实际的变电工区和集控站算例进行仿真分析，结果验证了所提规划方法的有效性和普适性。 |
| 关键词: 变电站巡检路径 改进的淘金算法 巡视类型 基准出行模型 二次优化 |
| DOI：10.19783/j.cnki.pspc.241253 |
| 投稿时间：2024-09-14修订日期：2024-11-19 |
| 基金项目:国家自然科学基金项目资助(52277108) |
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| Two-stage substation inspection path planning method based on improved gold rush optimizer |
| JIANG Weijun1,JIANG Wenping2,CHEN Xiaoming3,FU Han1,LIU Xiaoyu1,ZHANG San1,XU Yanchun4 |
| (1.State Grid Wuhan Power Supply Company, Wuhan 430015, China; 2. State Grid Hubei Technical Training Center, Wuhan 430079, China; 3. State Grid Hubei Electric Power Co., Ltd., Wuhan 430077, China; 4. Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, China Three Gorges University, Yichang 443002, China) |
| Abstract: |
| To accommodate the continuous growth of electricity demand, the number of new and expanded substations being built by State Grid companies across provinces and cities is steadily increasing. As a result, some local power supply companies are facing staff shortages and heavy daily inspection workloads. To reduce the burden and increase the efficiency for frontline inspection and maintenance staff, this paper proposes a two-stage planning method of substation inspection path based on improved gold rush optimizer. First, an enhancement strategy is introduced for the emerging gold rush optimizer. The search efficiency and global optimization ability are improved by incorporating the free exploration behavior of gold miners and a cosine-based convergence factor, making it suitable for solving the subsequent two-stage substation inspection path planning model. Second, two substation inspection models are constructed: “multi-team work together” and “single-team work”, and the inspection parameters such as maximum route duration, type of inspection, and number of vehicles are preset. The improved gold rush optimizer is used to optimize and identify the benchmark work model. Next, based on the benchmark work model, the distinct advantages of the two work modes are leveraged to perform secondary optimization on each route, ultimately determining the substation inspection path that minimizes total time across the inspection cycle. Finally, simulation analyses are conducted using real-world substation work zones and centralized control stations. The results verify the effectiveness and general applicability of the proposed planning method. |
| Key words: substation inspection path improved gold rush optimizer inspection type benchmark work model secondary optimization |
