为了提高风-光-储直流微电网的经济性和稳定性,进行系统容量优化配置的研究。首先,基于提出的风-光-储-网运行调度策略,以年平均综合成本和功率偏差率为目标函数,考虑系统安全稳定运行作为约束条件,构建风-光-储直流微电网的容量优化配置模型。然后,针对麻雀搜索算法求解具有非零解的优化配置模型容易陷入局部最优及收敛精度不足的问题,提出融合Tent混沌、螺旋搜索、Levy飞行策略和变异扰动的改进麻雀搜索算法,并利用4种标准测试函数将提出的改进算法与普通的麻雀搜索算法、粒子群算法和鲸鱼优化算法进行对比分析。最后,以潜江大数据中心为应用对象进行算例分析,验证模型和算法的可行性和有效性。
Abstract
In order to improve the economy and stability of wind-solar-storage DC microgrids, this paper studies the optimal configuration of system capacity. Firstly, based on the proposed wind-solar-storage-grid operation scheduling strategy, the capacity optimal allocation model of wind-solar-storage DC microgrid is established with the annual average comprehensive cost and power deviation rate as the objective functions, considering the safe and stable operation of the system as the constraint conditions. Then, aiming at the problem that the sparrow search algorithm is easy to fall into the local optimum and insufficient convergence accuracy when solving the optimal configuration model with non-zero solution, an improved sparrow search algorithm integrating Tent chaos, spiral search, Levy flight strategy and mutation disturbance is proposed. Furthermore, the improved sparrow search algorithm is compared with normal sparrow search algorithm, particle swarm optimization algorithm and whale optimization algorithm using four standard test functions. Finally, an example analysis is carried out with the Qianjiang big data center as the application object, and the feasibility and effectiveness of the model and algorithm are verified.
关键词
微电网 /
分布式发电 /
调度 /
容量配置 /
改进麻雀搜索算法
Key words
microgrid /
distributed power generation /
scheduling /
capacity configuration /
improved sparrow search algorithm
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参考文献
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基金
湖北省教育厅科学研究计划中青年人才项目（Q20191505）; 武汉工程大学科学研究基金（K201906）; 武汉工程大学研究生教育创新基金（CX2021086）
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