Collaborative Optimization of Parameters and Layout of Stability Controllers in Wind-PV-thermal Bundled System Based on Improved Octopus Optimizer Algorithm
Ping Zhang, Kai Chen, Peng Liu, Junhong ZhaoBackground:
Wind energy and solar energy have been widely utilized in power systems due to their advantages of renewability, environmental friendliness, economic efficiency, and wide distribution. Nevertheless, their inherent intermittency, volatility, and randomness easily trigger lowfrequency oscillations, which pose severe challenges to the safe and stable operation of power systems.
Objective:
This paper aims to adopt intelligent algorithms for optimizing the parameters of the power system stabilizer and the Unified Power Flow Controller-Power Oscillation Damping function. The proposed method effectively strengthens the system's disturbance resistance and greatly improves the stability and robustness of the Wind-PV-Thermal Bundled transmission system.
Methods:
The coordinated optimization method for the parameters of power system stabilizers and flexible AC transmission system devices is utilized to enhance the stability of Wind-PV-Thermal Bundled transmission systems. The Unified Power Flow Controller-Power Oscillation Damping controller is adopted to improve the stability and damping ratio of the power system. The improved octopus optimizer algorithm is proposed to mitigate the adverse effects caused by interactions among multiple controllers.
Results:
Simulations demonstrate that the proposed algorithm can fully exploit the advantages of various controllers, reduce adverse interactions among multiple controllers, significantly improve the system damping ratio, and obviously decrease the oscillation amplitude and recovery time after system faults.
Discussion:
These findings mechanistically explain the risks of adverse cross-coupling and phase cancellation caused by independent tuning of the power system stabilizer and the Unified Power Flow Controller-Power Oscillation Damping controller through modal residue and eigenvalue sensitivity analysis. The validated small signal approximation supports controller coordination for Wind- PV-Thermal Bundled transmission systems, and the performance of the improved octopus optimizer algorithm emphasizes the need to balance global exploration and local exploitation in high-dimensional multi-controller optimization. This framework provides practical references for oscillation mitigation under high penetration renewable energy integration. Nevertheless, growing system complexity brought by massive new energy units and novel power electronic controllers requires further research into multi-controller coordination coupled with economic operation constraints.
Conclusion:
The proposed method effectively suppresses low-frequency oscillations of the power system, mitigates negative interactions between multiple controllers, and further improves system stability and reliability.