Global coordinated transient voltage support strategy for clustered renewable power plants considering fault evolution

In power systems with clustered renewable power plants (RPPs), global coordinated transient voltage support (TVS) for the RPP clusters under fault conditions is crucial for safeguarding the power quality of critical sensitive loads and ensuring RPP fault ride-through. However, conflicting multi-objective demands and dynamic fault evolution pose significant challenges. Existing strategies often focus on local control or slow-dynamic global regulation, and are unable to simultaneously meet the requirements for system-wide coordination and rapid response. To address these challenges, this study proposes a global coordinated TVS strategy for clustered RPPs considering fault evolution. First, a global current–voltage transfer analytical model considering RPP coupling is established to rapidly map multi-source injections to node voltage response. This approach eliminates time-consuming iterative calculations, ensuring efficient strategy optimization across massive fault scenarios. Second, a coordinated optimization model based on Pareto hierarchical optimization is developed, resolving the difficult trade-off between critical load TVS and RPP ride-through. Additionally, a fault scenario deduction model is introduced to dynamically correct the strategy, achieving optimal support throughout the fault process. The strategy is computed offline and integrated into RPP controllers to enable rapid response. Validations demonstrated that the proposed strategy significantly enhances the TVS for global nodes and mitigates the risk of cascading RPP disconnections.