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| 摘要: |
| 配电网规划是一个复杂的组合优化问题，传统的优化方法往往难以解决此类问题，但是近年出现的一些智能算法有效地解决了此类问题。蚁群算法是一种新型的模拟进化算法，研究表明该算法在求解组合优化问题时是有效的。算法中，蚂蚁之间通过信息素进行交流，相互协作，使得蚁群表现出智能行为，针对配电网络的辐射性特点，提出了基于蚁群算法的单期配电网优化规划方法，该方法避免了辐射性检查过程，提高了算法效率，算例表明该算法具有实用性和可行性。 |
| 关键词: 蚁群算法 配电网规划 数学规划 组合优化 电力系统 |
| DOI： |
| 分类号:TM715 O242.23 |
| 基金项目: |
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| Application of ant colony algorithm for distribution system planning |
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ZHAO Qiang JING Dong LI Zheng
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| Abstract: |
| Distribution system planning is a complicated combinatorial optimization problem and it is usually difficult to solve it properly by using classic optimization methods.The intelligent algo-rithms occurred in recent years have efficiently solved it,among which ACA(Ant Colony Algo-rithm)is a new type of simulated evolutionary algorithm.Many combinatorial optimization problems have been efficiently solved by ACA,in which the ants cooperate by exchanging the pheromone to show their intelligent behavior.According to the radial configuration of distribution system,a new ACA-based method for single-period distribution system planning is given.Because the radial che-cking procedure is avoided,the computational efficiency is greatly im proved.The example systems demonstrate the practicality and feasibility of the proposed method. |
| Key words: distribution system planning,ant colony algorithm,spannin g tree |
