A Robust Control Method for Distributed Photovoltaic-Storage Zoning Oriented to Regional Autonomy
To address the urgent need for enhancing regional autonomy and coping with uncertainty factors,the paper proposes a robust control method for distributed photovoltaic-storage zoning oriented to the regional autonomy.Firstly,regional uncertainty is characterized using Kullback-Leibler divergence,and a robust optimization method considering the regional autonomy is introduced.Then with the objective of optimizing the system operation economy,adjustable regional resources are combined to establish an optimization model for the distributed photovoltaic-storage distribution network considering the regional autonomy.Finally,the distribution network is divided based on a decoupling mechanism for the distributed photovoltaic-storage zoning,and the sub-optimization model for each partition is solved in parallel using the consistency alternating direction multiplier method.The simulation analysis shows that this method can effectively enhance the overall operational efficiency and flexibility of the active distribution network while achieving the regional autonomy.
distributed optimizationdistributed photovoltaic-storagealternating direction multiplier methodregional autonomy