Study On Distribution Network Planning With Distributed Generation Based On Energy Saving And Emission Reduction

The normal operation of distribution network reliably guarantees the development of national economy and the improvement of people's living quality.Distribution network planning is related to the safe and economic operation of power system as well as the optimal allocation of environment and resources,which means significant to the construction and development of power grid.In the process of production,transportation,distribution and consumption,electricity consumes a large amount of natural resources and discharges a large amount of pollutants into the environment,accompanied by severe waste of energy."Energy-saving and emission-reduction" is an important strategy in China under the background of excessive consumption of resources and serious environmental deterioration,which is of great importance to be implemented in power industry.In this paper,under the policy of energy-saving and emission-reduction,the planning strategy of distribution network containing distributed generators is studied.Firstly,based on the analysis of conventional methods of medium-and-long term load forecasting,the factors which are highly correlated with the power demand are chosen as independent variables considering the effect of energy-saving and emission-reduction policy on power demand.K-mean clustering method is used to classify the historical data into different groups,and then the ridge regression analysis algorithm,which could solve multicollinearity problems for each group,is employed to predict the power demand,so that constituting different load-forecasting models.The variance covariance method is used to give the appropriate weights to different models to form an improved prediction model that is used to forecast the power demand in China in 2017-2021.Subsequently,a distributed generation planning strategy based on energy-saving and emission-reduction targets is proposed.In order to minimize the economic costs of distributed generators,the cost of network loss and CO2 processing,with the constraint conditions of power flow,node voltage and line current constraints,as well as the capacity constraints of distributed generators,the optimal planning model of distributed generation is established.Afterwards,NSGA-II genetic algorithm is used to analyze the IEEE-33 node system,and the Pareto frontier solution set is obtained.This strategy provides a theoretical basis for the selection of approaches for the capacity and site planning of distributed generators under the energy-saving emission reduction targets.Lastly,the practical energy-saving and emission-reduction strategies in distribution network planning are studied.After analyzing the cause of line loss,which presents the main energy loss of distribution network,the countermeasures are put forward.After that,the energy-saving potential analysis strategy of distribution network planning based on AHP is emphatically studied,which could quantitatively evaluate the energy saving potential of the planning projects.Through applying the method to the distribution network planning of M city,it shows that the strategy can effectively analyze the energy saving potential of reconstruction and improving measures,providing a reference to arrange priorities for the planning projects.Finally,this paper discusses the application of new technology in distribution network planning,and puts forward some suggestions on the implementation of energy-saving and emission-reduction strategies in distribution network planning from different angles,which will be helpful for the smooth development of energy-saving and emission-reduction work,as well as improve the effectiveness of energy-saving and emission-reduction.