Configuration Optimisation of Integrated Wind–PV–CSP Power Generation to Enhance Grid Support in High‐Renewable Power Systems

ABSTRACT To address the challenges of insufficient system flexibility, fuel shortages and the lack of rotational inertia under high renewable energy penetration, this study develops an 8760‐h chronological optimisation model for an integrated wind‐PV‐CSP system. A full‐factorial search method is proposed to explore the three‐dimensional design space of wind capacity, PV capacity and solar‐field size, and a multiparameter sensitivity analysis is conducted to identify key factors affecting system performance. The results show that, under given grid‐connection limits and CSP turbine capacity constraints, the integrated system exhibits a clear optimal configuration structure. Sensitivity analysis further reveals the marginal contribution patterns of critical parameters, such as power‐to‐heat capacity, thermal storage duration, battery storage capacity and peak‐period weighting windows, indicating that appropriate parameter selection enables a balanced trade‐off among economic efficiency, peak‐period supply capability and energy utilisation. The proposed modelling framework and optimisation approach demonstrate that integrated wind–PV–CSP systems can achieve economic, efficient and stable clean‐energy utilisation in regions with high solar irradiance, limited fuel supply and insufficient grid flexibility, providing valuable technical references for regional generation planning, feasibility studies and energy transition policymaking.