引用本文:Muhammad Majid Gulzar.[J].电力系统保护与控制,2023,(1):180-193.
Muhammad Majid Gulzar.Designing of robust frequency stabilization using optimized MPC-(1+PIDN) controller for high order interconnected renewable energy based power systems[J].Power System Protection and Control,2023,(1):180-193
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Muhammad Majid Gulzar
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Muhammad Majid Gulzar  
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DOI:10.1186/s41601-023-00286-x
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基金项目:The author at KFUPM acknowledge the Interdisciplinary Research Center for renewable Energy and Power Systems for the support received under grant no. EC221008.
Designing of robust frequency stabilization using optimized MPC-(1+PIDN) controller for high order interconnected renewable energy based power systems
Muhammad Majid Gulzar
Abstract:
The challenge of controlling frequency becomes greater as the complexity of a power network increases. The stability of a power system is highly dependent upon the robustness of the controller. This paper presents automatic generation control (AGC) of a four-area interconnected power system along with integrated renewable energy sources of PV and wind energy. The designed model is a challenge given the increased penetration levels of PV and wind along with a thermal-hydropower system. The addition of a hydropower system as a fourth type results in the pole of the open loop system of the hydropower system being located at the right half side of the s-plan. This demands a robust control. A novel MPC-(1 + PIDN) is designed for high-order interconnected areas (HOIA) to stabilize the frequency in a robust way. The salp swarm algorithm is adopted to optimize the parameters of the PIDN controller. The performance of the proposed controller under HOIA is tested in a unbalanced load environment with uncertainty in the power system. The proposed controller can effectively handle the frequency disruption by stabilizing it in 0.86s for Area-1, 1.08s for Area-2, 0.81s for Area-3, and 0.84s for Area-4 with an average time of 0.89s for all the areas, whereas the average time for GWO: PI-PD, MPC/PI and GA-PI is 3.48s , 10.36s and 18.47s , respectively. The results demonstrate the effectiveness of the controller when compared to other controllers.
Key words:  MPC-(1 + PID) controller, Salp swarm algorithm, High order interconnected area, Automatic generation control
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