一种基于智能改进算法的定制电力设备优化配置策略
为了更好地治理配电网谐波污染、低功率因数以及电力系统电压波动所带来的敏感负荷不能正常工作问题,研究了配电网多种定制电力设备的优化配置。综合考虑电能质量治理目标以及投资费用建立了优化配置数学模型,并提出一种将遗传算法与内点法有机结合的混合优化策略用于多种定制电力设备的优化配置。该混合策略利用遗传算法锁定各装置的最优安装位置并求得近似最优安装容量,将近似容量设为内点法初值寻找更加精确更优的安装容量。此外,分别基于约束越限和预判自适应对遗传算法和内点法做出改进,提高了寻优速度。理论分析和仿真结果表明,该混合算法比单独的遗传算法稳定性更高、寻优结果更加精确。...
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| Published in | 电力系统保护与控制 Vol. 44; no. 21; pp. 16 - 21 |
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| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
中国石油大学(华东)信息与控制工程学院,山东青岛,266580
2016
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1674-3415 |
| DOI | 10.7667/PSPC151893 |
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| Summary: | 为了更好地治理配电网谐波污染、低功率因数以及电力系统电压波动所带来的敏感负荷不能正常工作问题,研究了配电网多种定制电力设备的优化配置。综合考虑电能质量治理目标以及投资费用建立了优化配置数学模型,并提出一种将遗传算法与内点法有机结合的混合优化策略用于多种定制电力设备的优化配置。该混合策略利用遗传算法锁定各装置的最优安装位置并求得近似最优安装容量,将近似容量设为内点法初值寻找更加精确更优的安装容量。此外,分别基于约束越限和预判自适应对遗传算法和内点法做出改进,提高了寻优速度。理论分析和仿真结果表明,该混合算法比单独的遗传算法稳定性更高、寻优结果更加精确。 |
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| Bibliography: | FENG Xingtian, SUN Tiantian, MA Wenzhong （College of Information and Control Engineering, China University of Petroleum （East China）, Qingdao 266580, China） 41-1401/TM genetic algorithm; interior-point method; optimal configuration; power quality; custom power devices In order to solve power quality problems more effectively such as harmonic pollution, low power factor as well as the sensitive loads not to work properly because of voltage sags, flickers and so on. The optimal configuration of custom power devices is studied. By considering power quality improving goals and total investment cost, a mathematical model is proposed for optimization. Besides, a mixed optimization algorithm that combines genetic algorithm and interior-point method is proposed for the optimal configuration of multi-type custom power devices. This mixed strategy uses genetic algorithm to find the optimal location and approximate optimal capacity of each device. Then the approximate capacity will be set as the initial value of the interi |
| ISSN: | 1674-3415 |
| DOI: | 10.7667/PSPC151893 |