Electric Power Routing Algorithm Based On Minimum Loss And Transaction Price

With the rapid development of the global economy,the environmental and energy dilemmas are becoming more and more serious.As our country’s economy enters the "new normal",the power energy industry urgently needs to seek a new development model.In our country,the proportion of new energy power generation in the power industry is increasing.However,when new energy is integrated into the power grid,its intermittency and volatility lead to the problem of temporal and spatial imbalance in supply and demand.How to realize the active management of energy flow in the power network is the key to ensure the matching operation of power supply and load,and it is also the "double carbon" strategy key link in the energy transition.The study of this problem has important theoretical significance for the traditional power grid to gradually become intelligent and networked.Aiming at the problem of energy transmission in the Energy Internet,this paper starts from the perspective of graph theory,based on the idea of connected graph,and takes the load-type ER as the central node,proposes a self-centered layer-by-layer topology algorithm,and constructs a selfcentered layer-by-layer topology structure;Based on the constructed selfcentered layer-by-layer topology structure,the power transaction price is combined with the energy transmission loss,and the energy routing based on the minimum loss and transaction price is proposed by normalizing the power transaction price and aiming at the lowest transaction cost.Algorithms to determine transaction pairs and energy transmission paths,and formulate routing strategies.The main research content of this paper is as follows:(1)In view of the centralized energy network topology and routing strategy of the current Energy Internet,this paper based on the real-time updated Energy Internet data,determines the different types of ER in the network,namely,load type ER,source type ER and routing type ER,and take the load-type ER as the central node,and use the layer-by-layer search method of adjacent routing nodes to obtain the power routing available for energy transactions,and propose a self-centered layer-by-layer incremental topology algorithm,and build a self-centered layer-by-layer incremental topology based on this method.(2)Based on the constructed self-centered layer-by-layer topology structure,aiming at the selection of energy transaction objects in the energy transaction network,considering that low cost is the most favorable factor to promote transactions,this paper introduces the power transaction price into the objective function of the routing algorithm In this paper,by normalizing the power transaction price,combining the power transaction price and energy transmission loss,a cost objective function including energy transmission loss and normalized price is established,and an energy routing algorithm based on the minimum loss and transaction price is proposed,so as to establish the best energy trading pair and reduce the total cost in the process of energy transmission.(3)Considering that the transmission capacity of the line is limited during the energy transmission process,in order to ensure that no congestion occurs during the energy transmission process,this paper proposes a multi-path planning routing algorithm for decentralized energy transmission based on the constructed self-centered layer-by-layer topology structure.Compared with single-path transmission,distributed transmission energy can reduce energy transmission loss,and can reduce the probability of energy transmission congestion,thereby solving the problem of energy congestion.