Hierarchical Optimal Scheduling Of Active Distribution Network Considering Regional Autonomy Ability

With the access of large amount of renewable energy,the uncertainty of power generation brings great challenges to the optimal operation of the active distribution network.Active distribution network is an effective technical means to realize new energy integration in distribution network.Due to the decentralized nature of the distributed power supply,the optimal scheduling method of global optimization +regional autonomous hierarchical partitioning is used mostly in the current active distribution network.However,the low self-governance ability in some regions may lead to the difficulty of autonomy in real-time situations for the imbalanced controllable resources in different regions,resulting in large deviations of actual operation results from planned values and reducing the overall system operational efficiency.Therefore,in this paper,the optimal dispatching method of active distribution network is studied taking into account the autonomous ability of each region.Firstly,the regional autonomy ability is analyzed in this paper,and represented mathematically using the robust chance constraint,so a robust chance constraint model to measure regional autonomy is proposed and introduced into the global dispatch model,which overcomes the problem that scheduling and regional autonomy is not a time scale,and gets more reasonable scheduling results.Next,an optimal dispatching model of active distribution network considering regional autonomy is established.With the goal of minimizing the total generation cost,the tidal constraints,renewable energy constraints,network security constraints and the regional autonomy constraints in the region are considered to establish an optimal scheduling model.The second-order cone relaxation theory is used to simplify the nonlinear model and the original problem is transformed into a second-order cone optimization problem of mixed integer that can be effectively solved,and the optimal result can be easily obtained.At the same time,considering the large amount of computational complexity and complicated solution problem after a large number of distributed power supply access,the optimal condition decomposition theory is introduced to solve the optimal scheduling model of active distribution network.The ADN is divided into upper and lower layers,and iterative and coordination by lagrange multiplier to obtain the optimal results and improve the efficiency of the solution.Finally,the simulation example is built on the MATLAB simulation platform.The simulation and analysis are carried out by using the extended IEEE33 node system and the actual system in Jianshan District,Jiaxing,Zhejiang Province.The results verify the effectiveness and feasibility of this strategy.