| 引用本文: | 吴国庆,霍伟,茅靖峰,张旭东,宋晨光.基于改进万有引力搜索算法的住宅区微网优化[J].电力系统保护与控制,2018,46(21):1-10.[点击复制] |
| WU Guoqing,HUO Wei,MAO Jingfeng,ZHANG Xudong,SONG Chenguang.Optimization allocation of residential districts’ micro-grid via improved gravitational search algorithm[J].Power System Protection and Control,2018,46(21):1-10[点击复制] |
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| 摘要: |
| 微网容量优化是微网建设中的重要环节。针对目前住宅区微网经济性、稳定性、气象匹配性较差的问题，提出了一种多目标的优化方法。首先，给出了优化对象的目标函数和约束条件，提出了一种负载分类方法，设计了一种用于气象跟踪的风光互补组合系数，并分三个层次建立优化的数学模型。其次，利用杂交粒子群算法和风光互补组合系数改进万有引力搜索算法，分析网内负载的使用情况，求得微网内风/光/柴/储的最优配置组合。最后，从经济性、气象跟随性、网内能源结构和负载波动承受能力方面对比分析四种算例。算例验证了模型的可靠性。 |
| 关键词: 微网 万有引力搜索算法 杂交粒子群算法 优化配置 风光互补 |
| DOI：10.7667/PSPC171519 |
| 投稿时间：2017-10-12修订日期：2018-01-15 |
| 基金项目:国家自然科学基金项目资助(61273151, 61004053, 51376096);江苏省科技厅政策引导类计划项目(产学研合作)-前瞻性联合研究项目资助(BY2015047-04);南通市科技计划项目资助(GY12016042);南通市人才引进项目资助(17R11) |
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| Optimization allocation of residential districts’ micro-grid via improved gravitational search algorithm |
| WU Guoqing,HUO Wei,MAO Jingfeng,ZHANG Xudong,SONG Chenguang |
| (School of Mechanical Engineering, Nantong University, Nantong 226019, China;Jiangsu Engineering Research Center for Wind Energy Application, Nantong 226019, China) |
| Abstract: |
| Optimization allocation plays an important role in micro-grid’s construction. An optimization method for multiple targets is proposed with the consideration of economy, stability and weather following of residential districts. Firstly, a set of wind-solar complementary coefficients for weather tracking and the mathematical model through three ranks are designed after giving the objective functions and constraint conditions. Besides that, a method for loads classification is put forward. Secondly, the crossbreeding particle swarm optimizer and the wind-solar complementary coefficient are used to improve the gravitational search algorithm, and an optimization allocation of wind driven generator, solar panel, diesel and storage battery is obtained after analyzing distribution of loads in the micro-grid. Finally, four cases are compared and analyzed in terms of economy, weather following, domestic energy structure and load fluctuation endurance. The result verifies the reliability of the proposed model. This work is supported by National Natural Science Foundation of China (No. 61273151, No. 61004053, and No. 51376096). |
| Key words: micro-grid gravitational search algorithm crossbreeding particle swarm algorithm optimization allocation wind-solar complementary |
