Addressing the challenges of integrating photovoltaic (PV) systems into power grids, this research develops a dual-phase optimization model incorporating deep learning techniques. Given the fluctuating nature of solar energy, the study employs Generative Adversarial Networks (GANs) to simulate. This article presents a systematic review of optimization methods applied to enhance the performance of photovoltaic (PV) systems, with a focus on critical challenges such as system design and spatial layout, maximum power point tracking (MPPT), energy forecasting, fault diagnosis, and energy. Sungrow revealed its next-generation PV plant design platform, iSolarDesign, at All Energy Australia 2025. Designed around a dual-core architecture of “Scenario + Computing Power,” the platform introduces a new era of intelligent, adaptable, and highly efficient solar system design. iSolarDesign. State Grid Sichuan Electric Power Company, Chengdu, China 4.
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