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Aiming at the characteristics of interconnection and multi-source in modern power systems, a heuristic intelligent optimization algorithm is proposed to assist multi-area interconnected power systems with wind, solar, water, thermal storage to optimize load frequency control. This method takes the area control error of each region as the objective function, and uses the advantages of whale intelligent optimization algorithm, such as strong robustness, high solution accuracy and fast convergence speed to jointly optimize the parameters of the PID load frequency controller in each region, so that the system can maintain frequency stability and long-term safe operation under various random disturbances. Finally, a three-area interconnected power system model with wind, solar, water and thermal storage is established to compare the frequency and tie line power deviation of the interconnected power system in different optimization tuning methods, and test the stability of the system in different regions under different disturbances and the effectiveness of the proposed method. The experimental results show that the coordinated optimization tuning method of the multi-area interconnected load frequency controller adopted in this paper effectively improves the stability of the system, and has good robustness and practicality.

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针对现代电力系统中呈现出的互联和多源的特点，首先提出了一种启发式智能优化算法辅助含风光水火储的多区域互联电力系统协同优化负荷频率控制方法，该方法以每个区域的区域控制偏差为目标函数；然后利用鲸鱼智能优化算法鲁棒性强、求解精度高及收敛快速度等优点，对各区域的PID负荷频率控制器参数进行协同优化，使得系统在各种随机扰动下，都能够维持频率稳定和长期安全运行；最后建立含风光水火储的三区域互联电力系统模型，对比不同优化整定方法下的互联电力系统频率和联络线功率偏差，测试系统在不同扰动时各区域的稳定性及所提方法的有效性。实验结果表明，所采取的多区域互联负荷频率控制器协同优化整定方法有效地改善了系统的稳定性，具有良好的鲁棒性和实用性。

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郭强（1980），男，硕士，高级工程师，主要研究方向为自动控制，346526139@qq.com。

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郭强（1980），男，硕士，高级工程师，主要研究方向为自动控制，346526139@qq.com。

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