Research On Comprehensive Evaluation Of New Energy Carrying Capacity Of Multilevel Distribution Network

With the rising scale of new energy in each level of distribution network,the grid presents the characteristics of new energy multi-level access and integrated consumption,and the grid shows a high proportion of coordinated development and grid integration of scenery,and the bottleneck of multi-level grid on the carrying capacity of scenery resources begins to appear.To guide the efficient consumption and full utilization of new energy,this paper conducts a study on the assessment of new energy carrying capacity of multi-level distribution grid from the system level.Firstly,clustering technology is used to construct operational scenarios for new energy distribution networks.Starting from the annual wind/solar/load historical data of the actual power grid,an improved K-means clustering method is used to convert the wind/light/load historical data into basic sequence units that can be clustered,and synchronously cluster the wind/solar/load scenarios to construct a set of uncertain operating scenarios for new energy in the distribution network.The simulation results show that the constructed set of running scenarios can balance computational accuracy and efficiency.Secondly,aiming at the coupling of new energy consumption in distribution networks of all voltage levels,a collaborative evaluation method of new energy carrying capacity of multi-level distribution networks is proposed.A new energy maximum carrying capacity evaluation model is established with the objective function of maximizing the new energy access in multi-level distribution networks.Then,based on the Alternating Direction Method of Multipliers(ADMM),the problem of new energy access in multi-level distribution networks is transformed into a quantum problem of maximum new energy access in all levels of distribution networks.The evaluation model is transformed into a distributed optimization model of new energy carrying capacity in distribution networks,Implement collaborative evaluation of distribution networks at all levels through a multi scenario new energy carrying capacity assessment strategy.The simulation results show that taking into account the power backflow of interconnection lines can help improve the carrying capacity of multi-layer distribution networks,and distributed algorithms have obvious advantages in large-scale distribution network evaluation problems.Finally,an evaluation of the new energy carrying capacity of multi-layer distribution networks considering the complementarity of wind and solar power was studied.The Copula function is used to generate scenarios that consider the uncertainty and complementarity of wind and solar output.The objective function is to establish an evaluation model with the maximum amount of new energy access.Each operating parameter is constrained by chance constraints,and an improved particle swarm optimization algorithm is used to integrate random simulation technology to transform and process chance constraints.The minimum amount of wind and solar access in each scenario is used as the quantitative evaluation result of carrying capacity.The simulation results indicate that considering the complementarity of wind and solar energy can reduce the power abandonment rate and improve the new energy carrying capacity of the distribution network.