Interactive Modeling And Optimization Analysis Of Intelligent Park And Active Distribution Network Considering Generation And Loads Uncertainties

On the source side of the energy system,high-penetration new energy is developing rapidly.On the load side of the energy system,the proportion of new loads such as energy storage,electric vehicles,and demand response is rising rapidly.On the distribution network side,multi-energy flow is coupled and interactive.These characteristics of changes put forward higher requirements for the economy and safety of the integrated energy system in dispatching operation.Based on this,the thesis has carried out related research from the aspects of smart park energy model optimization,multi-energy coupling distribution network system N-1 static security analysis,and regional network interaction strategy coordination.The specific work is as follows:Aiming at the uncertainty of the system operation caused by the demand response mechanism introduced by the source and load of the intelligent park,the paper proposes a intelligent park energy optimization scheduling method using an improved PSO algorithm.First,according to the operating characteristics of the interactive units in the intelligent park,the paper constructs multiple uncertain stochastic models for multiple loads and wind power output;Secondly,energy storage is the demand response unit of the smart park.The paper establishes a source-load-storage linkage response model;Then,the paper constructs a park multi-objective energy optimization model that takes into account factors such as energy satisfaction,wind power consumption net income,and source-load equipment demand response costs,and sets corresponding constraints;Finally,the paper uses the improved SAPSO algorithm to solve the source-load-storage interaction optimization model of the smart park,and formulates the optimal scheduling supporting plan for the intelligent park.Aiming at the static security problem of the integrated energy distribution network system with multi-source participation and multi-energy interaction,the N-1 static security criterion is used to analyze the impact of the opening of the distribution network branch on the operation safety of the multi-energy flow system under different coupling conditions.First,establish a mathematical model of the multi-energy coupling distribution network system to characterize the operating characteristics of each energy flow system.Secondly,set the expected accident set of the multi-energy coupling distribution network system,and perform multi-energy power flow calculation,multi-energy flow system N-1 safety verification and quantitative analysis of the severity of the breaking accident on the multi-energy coupling distribution network system according to the expected failure events.,To find the key parts and weak links in the operation of the multi-energy coupling system;Finally,the feasibility and effectiveness of the proposed scheme are verified by simulation examples.Aiming at the problem of collaboration and mutual aid between smart parks and distribution networks,the paper proposes a dual-layer interaction optimization strategy for the area network considering N-1 security constraints.Based on the N-1 dynamic power flow security constraint of the active distribution network,the paper constructs a distribution network layer optimization scheduling model that takes into account the distribution network loss,distribution network operating costs and wind power consumption benefits.Secondly,considering the park source load storage equipment operation constraints,the paper constructs both The optimization model of the park scheduling layer for park energy purchase cost and environmental protection cost.The paper uses the NSGA-II algorithm to solve the multi-objective optimization model of the distribution network,and obtains the interactive power solution of the district network that meets the main interests of the distribution network.The interactive power solution is used as the initial iterative condition of the park optimization model,and the SAPSO algorithm is used to solve the lower-level optimization model.Obtain the district network interactive power solution that satisfies the interests of the main body of the park.By introducing the penalty function multiplier into the objective functions at all levels to coordinate the interactive power variables of the distribution network and the park,the goal of maximizing the interests of the different main bodies of the district network is realized.The paper provides a reference for the optimal scheduling strategy of the interactive system between the distribution network and the intelligent park with uncertain source loads.