Joint Optimization for Low-Carbon Operation of High-Penetration Renewable Energy System Based on Multi-Layer Conditional Value-at-Risk
The increased penetration of wind power under the dual-carbon goal poses challenges to the safe and stable operation of the new power system,and the Conditional Value-at-Risk(CVaR)method can categorize and quantitatively assess the stochastic risk of wind power for system scheduling and operation.On the basis of CVaR,the Multi-layer Conditional Value-at-Risk(MCVaR)method is developed in this paper.In addition,a joint optimization model for low-carbon operation of the high-penetration renewable energy system is established.The simulation results suggest that MCVaR can significantly reduce the wind curtailment and load shedding of the system compared with CVaR,while the extreme losses are reduced by 49.45%.The proposed method can realize the comprehensive optimization of operation economic benefit and low-carbon environmental protection benefit on the premise of satisfying the system controllable risk constraint.
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