Analysis of Planning, Configuration, and Operational Control of Wind–Solar–Storage Hybrid Power Generation Systems in Smart Grids

Engineering notes

Engineering notes will be added by the Power for Solar editorial team.

Chinese explanation / 中文解读

中文解读待补充：本站会优先为光伏效率、钙钛矿太阳能电池、储能技术、太阳能热利用、BIPV、并网技术等高价值论文补充中文说明。

Original abstract

Under the two-carbon goals of carbon peaking and carbon neutrality, the installed capacities of wind and photovoltaic (PV) power generation have been increasing at a high rate. The proportion of renewable energy is now relatively high, so we have experienced problems with unstable power generation, a lack of regulation facilities, and increased requirements for frequency and voltage stability. To address the above problems, Wind-Solar-Storage (WSS) hybrid power generation systems have added energy storage devices for peak-shaving, valley-filling and output-smoothing; as a result, grid-integration issues have been reduced and the adaptability of renewable energy has improved. This paper presents the smart grid integration architecture, provides necessary enabling technologies for power forecasting, grid-forming control and storage management, and introduces three types of optimisation methods along with their strengths and weaknesses: deterministic, heuristic and artificial intelligence (AI)-based approaches. The current problems in research are an inadequate model for source-load uncertainty, a lack of grid-forming support, and poor interpretability of AI methods. In the future, research will be conducted on the integration of model-driven and data-driven methods, multi-timescale coordinated optimisation, and the strengthening of system resilience in the face of severe weather.

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