Voltage Regulation for PV-integrated Power Grid using Improved Multi-Objective Particle Swarm Optimization

Abstract

Introduction: With the widespread integration of distributed photovoltaics into the power grid, challenges such as voltage fluctuations and increased deviations have arisen, alongside heightened demands for power quality and economic dispatch. Method: This study tackles the complexities of integrating distributed photovoltaic systems into the power grid, encompassing network flow variations, node voltage fluctuations, and risks of exceeding limits while also considering scheduling costs. A comprehensive control strategy is proposed, integrating the coordinated output of reactive power adjustable devices, energy storage systems (ESS), and transformers. Subsequently, a multi-objective optimization mathematical model is formulated with the aims of minimizing network loss, operation cost, and voltage deviation. An enhanced Multi-Objective Particle Swarm Optimization (MOPSO) algorithm is introduced, leveraging a ring neighborhood topology and specialized crowding distance measurement to establish a stable network in both decision and target spaces, devoid of any niche parameters. Results: This approach eliminates subjective influences while ensuring rationality. Tests on the IEEE 30-node network example demonstrate that the algorithm can generate a large number of Pareto optimal solutions, highlighting its advantages in the application of reactive power optimization. Conclusion: The method proposed in this paper can fully utilize the dispatchable equipment in the power grid, effectively reducing network losses and voltage deviations while maintaining low operating costs.