Study on Robust Chance Constrained Optimization of Multi-energy Supply System Based on Wind and Solar Power Combined Output Simulation
In order to effectively avoid potential imbalance between supply and demand caused by the uncertainty of wind and solar power outputs,and promote the sustained development of the multi-energy supply system,a robust chance-constrained optimization model is developed for identifying optimal operation strategies under complexities and uncertainties through incorporating Copula theory,chance-constrained programming,and robust programming within a general framework.The results show that this model can not only accurately characterize the distribution probability of combined outputs of wind and solar power and formulate the operational strategies under low default risk conditions,but also reduce the proportion of high-risk energy output by adjusting the energy output structure on the supply side,and generate a robust operation scheme for the multi-energy supply system,which significantly improves the stability of the system operation,and reduces the economic risks caused by the uncertainty of wind and light.
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