| 基于混沌自适应人工鱼群算法的含家庭储能配电网快速重构方法 |
| |
| 引用本文： | 谭慧娟,李世明,郭文鑫,赵瑞锋,徐展强.基于混沌自适应人工鱼群算法的含家庭储能配电网快速重构方法[J].太阳能学报,2022,43(5):468-477. |
| |
| 作者姓名： | 谭慧娟 李世明 郭文鑫 赵瑞锋 徐展强 |
| |
| 作者单位： | 广东电网有限责任公司电力调度控制中心,广州 510660 |
| |
| 基金项目： | 南方电网公司科技项目（GDKJXM20198156） |
| |
| 摘 要： | 针对分布式电源接入配电网具有波动性和随机性的特点,提出一种基于混沌自适应人工鱼群算法的含分布式电源配电网快速化重构方法。在风电、光伏和家用储能的数学模型和节点划分基础上,以电网网损、开关次数以及失电负荷成本最小为目标函数,建立基于多目标优化的含分布式电源配电网的优化重构模型。利用混沌自适应人工鱼群算法对模型进行求解,通过对鱼群的混沌初始化和自适应动态调整步长参数,提高了算法的全局搜索能力和收敛速度。根据电化学储能系统出力特性划分配电网网架重构的典型工作场景,通过含分布式电源的IEEE 33节点测试系统仿真实例验证了该文方法的有效性。仿真结果表明,与单独考虑电网网损成本相比,由该文方法得到的配电网优化重构成本降低了50%以上,优化重构时间均小于0.9 s,实现了含分布式电源配电网的快速自愈。
|
| 关 键 词： | 电力系统 电池储能系统 分布式发电 配电网优化重构 混沌自适应人工鱼群 电网网损 |
| 收稿时间： | 2022-03-29 |
FAST RECONFIGURATION METHOD OF DISTRIBUTION NETWORK WITH HOUSEHOLD ENERGY STORAGE BASED ON CHAOTIC ADAPTIVE ARTIFICIAL FISH SWARM ALGORITHM |
| |
| Tan Huijuan,Li Shiming,Guo Wenxin,Zhao Ruifeng,Xu Zhanqiang.FAST RECONFIGURATION METHOD OF DISTRIBUTION NETWORK WITH HOUSEHOLD ENERGY STORAGE BASED ON CHAOTIC ADAPTIVE ARTIFICIAL FISH SWARM ALGORITHM[J].Acta Energiae Solaris Sinica,2022,43(5):468-477. |
| |
| Authors: | Tan Huijuan Li Shiming Guo Wenxin Zhao Ruifeng Xu Zhanqiang |
| |
| Affiliation: | Power Dispatching Control Center of Guangdong Power Grid Co., Ltd., Guangzhou 510660, China |
| |
| Abstract: | In view of the volatility and randomness of distributed power sources in distribution network, a fast reconfiguration method of distribution network with distributed power sources and household energy storage based on chaotic adaptive artificial fish swarm algorithm is proposed in this paper. Based on the mathematical models and node division of wind power, photovoltaic and household energy storage, the optimization and reconstruction model of distribution network with distributed power sources is established according to the minimum operating cost considering network loss, switching times and load cost. The chaos adaptive artificial fish swarm algorithm is used to solve the model, and the global searching ability and convergence speed of the algorithm is improved by the chaotic initialization and adaptive dynamic adjustment of step parameters. According to the output characteristics of household energy storage system, the typical working scenarios of distribution network reconfiguration are divided, and the effectiveness of the proposed method is verified by a simulation example of IEEE 33 node test system with distributed power sources. The simulation results show that compared with the cost of network loss alone, the self-healing reconstruction cost of the system obtained by the method in this paper is reduced by more than 50%, and the optimal reconstruction time of distribution network is less than 0.9 s, which can realize fast self-healing of distribution network with distributed power sources. |
| |
| Keywords: | electric power systems battery energy storage system distributed power generation optimal reconfiguration of distribution network chaotic adaptive artificial fish swarm algorithm network loss |
|
| 点击此处可从《太阳能学报》浏览原始摘要信息 |
|
点击此处可从《太阳能学报》下载全文 |
|
