Solar container capacity configuration to smooth out wind and solar fluctuations

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Introduction

The method utilizes the regulation capacity of cascade small hydropower plants and pumped storage units, in conjunction with the fluctuating characteristics of local distributed wind and PV, to perform power and energy time-series matching and determine the optimal. Compressed air energy storage (CAES) effectively reduces wind and solar power curtailment due to randomness. However, inaccurate daily data and improper storage capacity configuration impact CAES development. The optimization objective is to maximize net profit, considering three economic indicators: revenue from selling electricity.

Solar container capacity configuration to smooth out wind and solar fluctuations

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