Assessment of New Energy Scheduling Potential Based on Two-Stage Robust Optimization and Improved Grey Relational Theory
The large-scale integration of new energy into the grid is the main trend of energy development today and its output fluctuations has a series of effects on the economic dispatch of the power grid.This pa-per proposes a schedulable potential assessment model based on two-stage robust optimization and improved grey relational theory and comprehensively analyzes the effects of wind turbines and distributed photovoltaic power stations on the economic operation of microgrids.The output fluctuations are first simulated by chan-ging the robustness indicators of wind turbines and distributed photovoltaic stations.Economic operation cost data of the microgrid under multiple scenarios are generated.Improved grey relational theory is then used to analyze the correlations between new energy and various scheduling costs and they are weighted to obtain the correlation between new energy and total dispatch operation costs.By comparing correlation de-grees,the key new energy source influencing microgrid dispatching is identified.The experimental results show that the proposed method improves accuracy by 30.6%compared to traditional grey relational meth-ods,while reducing model complexity by 41.3%compared to non-weighted analysis methods,which pro-vides a reference for the early-stage construction planning and economic operation of microgrids.
new energy schedulingscheduling potential assessmentrobust optimizationgrey relational theoryentropy weight method
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