A study on the coordinated optimization and economic dispatch of hybrid energy storage systems based on carbon trading

To address the stability and reliability challenges posed by the increasing share of renewable energy in the Xinjiang power grid, this paper introduces a collaborative optimization model for the economic dispatch of pumped hydro storage and new energy storage systems, grounded in carbon trading principles. The study emphasizes the volatility and unpredictability of renewable energy generation, focusing on how coordinated operation of energy storage systems can mitigate peak shaving pressures in the Xinjiang grid, thus enhancing its capacity to absorb renewable energy. The proposed model coordinates pumped hydro storage with new energy storage and incorporates a tiered carbon trading mechanism to effectively manage total carbon emissions. The objective is to improve both economic efficiency and environmental sustainability within the power system. The case study using a real 220kV power system from a specific region in Xinjiang illustrates that the hybrid storage operation proposed in this model successfully smooths renewable energy output fluctuations, decreases wind and solar curtailment, and achieves effective peak load shifting. These results contribute to reduced generation costs and enhanced low-carbon characteristics for the system. Future scenario analysis suggests that as renewable energy penetration increases, the optimized configuration outperforms in terms of operational costs and carbon emissions, confirming the model's capability in fostering low-carbon economic operation and power system stability.