基于数字孪生技术的分布式光伏发电集群智能协调控制策略

Jian Chen, Yuanxing Gan, Haiwei Zhou, Jiayong Zhong, Chen He
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引用次数: 0

摘要

针对大多数电网调节策略中分布式能源应用范围小、性能差的问题,提出了一种基于数字孪生技术的分布式光伏发电集群智能协调控制策略。首先,基于数字孪生技术,构建了一个考虑分布式光伏发电集群的调控系统,通过虚实结合,能够更好地处理和分析系统运行状态。然后,基于电压偏置、线路损耗和剩余功率设计优化函数并建立模型。最后,利用模拟退火算法对粒子群优化算法进行改进,利用粒子群优化算法求解优化目标的数学模型,得到系统的最佳智能控制模式。基于ieee33总线系统,对该策略进行了测试和分析。实验结果表明,该系统的电压偏置、线路损耗和剩余功率分别为0.573 p.u、230 kW和152 kW,集群协调控制效果理想。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Coordinated Control Strategy of Distributed Photovoltaic Power Generation Cluster Based on Digital Twin Technology
Aiming at the problems of small application scope and poor performance of distributed energy in most power grid regulation strategies, an intelligent coordinated control strategy for distributed photovoltaic power generation clusters based on digital twin technology is proposed. Firstly, based on digital twin technology, a regulation system considering distributed photovoltaic power generation cluster is constructed, which can better handle and analyze the system operation state through the combination of virtual and real. Then, the optimization function is designed and modeled based on the voltage offset, line loss and surplus power. Finally, the simulated annealing algorithm is used to improve the particle swarm optimization algorithm, which is used to solve the mathematical model of the optimization goal to obtain the best intelligent control mode of the system. Based on IEEE 33 bus system, the proposed strategy is tested and analyzed. The experimental results show that the voltage offset, line loss and surplus power are 0.573 p.u., 230 kW and 152 kW respectively, and the cluster coordinated control effect is ideal.
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