| 引用本文: | 宋冬然,晏嘉琪,夏 鄂,等.基于改进麻雀搜索算法的大型海上风电场电缆布置优化[J].电力系统保护与控制,2022,50(12):134-143. |
| SONG Dongran,YAN Jiaqi,XIA E,et al.Optimization of cable layout for large-scale offshore wind farms based onan improved sparrow search algorithm[J].Power System Protection and Control,2022,50(12):134-143 |
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| 摘要: |
| 考虑多个设计变量和成本因素后，大型海上风电场电缆布置优化问题呈现出高复杂度特点。为此，提出一种基于改进麻雀搜索算法的电缆布置优化方法。首先，以电缆全寿命周期总成本为目标函数，考虑实际工程需求提出约束条件，建立电缆布置优化模型。然后，结合鸡群优化算法和Prim算法来改进麻雀搜索算法，对海上风电场的电缆连接拓扑、电缆型号和变电站位置同时进行优化。最后，进行实例分析，验证模型的可行性和改进算法的有效性。结果显示，全寿命周期模型可以全面评估电缆布置的经济性。相比于原算法，改进麻雀搜索算法的寻优能力有较大提升，且相对于文献中的改进算法具有结构简单、效率高和优化稳定性强的特点，适用于大型海上风电场电缆布置优化问题。 |
| 关键词: 大型海上风电场 电缆布置 全寿命周期总成本 改进麻雀搜索算法 同时优化 |
| DOI：DOI: 10.19783/j.cnki.pspc.211521 |
| 分类号: |
| 基金项目:湖南省自然科学基金项目资助(2021JJ30875)；华能集团总部科技项目资助“海上风电与智慧能源系统联合实验室开放课题”(HNKJ20-H88-06) |
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| Optimization of cable layout for large-scale offshore wind farms based onan improved sparrow search algorithm |
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SONG Dongran1, YAN Jiaqi1, XIA E1, YANG Jian1, DONG Mi1, CHEN Sifan2, HU Yang3, FANG Fang3
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(1. School of Automation, Central South University, Changsha 410083, China; 2. Mingyang Smart Energy Co., Ltd., Zhongshan
528437, China; 3. School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China)
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| Abstract: |
| Given the multiple design variables and cost factors, the cable layout optimization problem for large offshore wind farms is an issue of high complexity. This paper proposes a method for optimizing cable layout based on an improved sparrow search algorithm (ISSA). First, the life cycle cost of the cable is taken as the objective function, constraints are presented considering actual engineering requirements, and the optimization model of the cable layout is established. Then, combining the chicken swarm optimization algorithm and the Prim algorithm, the ISSA is proposed to simultaneously optimize the cable connection topology, cable type and substation location of the offshore wind farm. Finally, case studies are carried out to verify the feasibility of the model and the effectiveness of the improved algorithm. The results show that the life cycle model provides a comprehensive assessment of the economics of the cable layout. Compared with the original algorithm, the ISSA has greater ability to find the optimal solution. In addition, compared with the improved algorithms in the literature, the ISSA has a simple structure, high efficiency and strong optimization stability. It is suitable for the optimization of cable layout for offshore wind farms.
This work is supported by the Natural Science Foundation of Hunan Province (No. 2021JJ30875). |
| Key words: large-scale offshore wind farm cable layout life cycle cost improved sparrow search algorithm simultaneously optimize |
