Source-grid-load Coordination Planning With Renewable Energy And Evaluation Research

In recent years,my country’s power industry has continued to develop,especially renewable energy such as wind energy and solar energy.In the process of power grid planning,it is necessary to fully consider the access and application of such renewable energy sources.At the same time,with the increasing emphasis on the energy supply side,the load side needs to be included in the planning research.In the process of evaluating the results of power grid planning,it is also necessary to establish a corresponding index system to facilitate comprehensive evaluation.In the evaluation,not only the economics of the power grid,but also the user’s load-side satisfaction and other indicators should be considered.Based on the above problems,this paper conducts an in-depth discussion and analysis of this,and the specific research contents are as follows:Firstly,it analyzes the research status of source-grid-load coordination planning with renewable energy at home and abroad,its index system,evaluation theory and method,etc.The aim is to explore the lowest economic cost of the source-grid-load coordination planning system,and continue to study the model considering wind power and photovoltaic power generation and the impact on the original model after grid connection.Finally,the overall planning and evaluation strategy of source-network-load coordination is analyzed.Secondly,considering the satisfaction of the load demand side,the satisfaction factor index is introduced into the objective function related to economy,which constitutes a dual objective function model that maximizes economy and satisfaction,and uses the relativization method to degrade it into A single objective function model to maximize social welfare.Taking the credibility theory as a reference,the uncertainty is clearly and equivalently processed,and the particle swarm optimization algorithm with shrinkage factor is used for simulation calculation.Finally,through the analysis of the simulation results,the reliability of the algorithm,the effectiveness of the optimization strategy and the superiority of the model are verified.Finally,this paper proposes a corresponding index processing strategy for the unreasonable index classification.It integrates Schmidt orthogonalization,evidence theory and grey relational theory to construct an initial index system with renewable energy planning schemes.It affects the perfection of the constructed system,so this paper proposes a combination weight calculation strategy on this basis,and takes the combination of subjective and objective weight and variance proportion coefficient as the main body,through correlation calculation,index system correlation processing and comprehensive evaluation and other various The simulation example analysis verifies the scientificity and rationality of the comprehensive evaluation strategy.