A control method for orderly charging of electric vehicles to reduce network loss of distribution network

Abstract

The invention discloses an electric automobile orderly charging control method for reducing network loss of a power distribution network. The method comprises the following steps: a control system obtaining basic information parameters of the power distribution network; when an electric automobile is accessed to the power distribution network, recording an access sequential number n, user information of the electric automobile and charging demand information of the electric automobile; when a number n-1 can be divisible by a set value, calculating and updating sensitivity of the network loss of the power distribution network for injection active power according to an injection load of each current node at each time; when the number n-1 cannot be divisible by the set value, through combination with the sensitivity of the network loss of access nodes of the electric automobile for the injection active power, solving a linear planning model taking minimization of the network loss as a target, wherein an optimal solution is a charging plan of the electric automobile; and according to the charging plan, updating the injection load of each node at each time, and continuously waiting for a next electric automobile to be accessed to the power distribution network. The control method, through regulating and controlling the charging plan of each electric automobile, realizes reduction of the network loss of the power distribution network, while improving the operation economic benefits of the power distribution network, takes application demands of users into consideration, and can realize rapid solving.

Description

technical field [0001] The invention relates to the technical field of interaction between an electric vehicle and a power grid, in particular to an orderly charging control method for an electric vehicle that reduces network loss of a distribution network. Background technique [0002] Network loss rate, as a comprehensive technical and economic index that reflects the level of power grid planning and construction, production operation, equipment and management, directly reflects the utilization efficiency of electric energy, and at the same time affects the operating efficiency of power grid enterprises. Europe, America, Japan, Korea, Singapore, etc. Representatives of international advanced power grid enterprises all attach great importance to power grid loss reduction. As the most closely connected power transmission link with users, the distribution network has the characteristics of low voltage level, large coverage, and various and complex equipment. According to stat...

AI Technical Summary

Problems solved by technology

However, the current charging areas of electric vehicles have not yet reasonably controlled the charging of electric vehicles. Sometimes there may be no charging of electric vehicles, and sometimes a large number of electric vehicles are charged at the same time. The load on the power grid increases, the compound curve fluctuates, and the peak-to-valley difference rate of the load curve increases. In order to solve the above problems, at present, by regulating the charging time and power of electric vehicles and guiding electric vehicles to charge in an orderly manner, the power distribution can be reduced. Reduce network loss and improve the economy of power grid operation

For example, the application number is 2014108506702 (electric vehicle charging control method and device), and the charging control method is adopted to calculate and generate an electric vehicle charging priority Level list, this method takes a long time to solve; similarly, most of the current control methods often need to include the constraints of the power flow equation in the orderly charging optimization problem of electric vehicles with the goal of reducing distribution network losses, making this optimization problem a Non-linear and non-convex optimization problems are difficult to solve efficiently and quickly with existing mathematical tools, and often need to be solved with the help of intelligent algorithms such as genetic algorithms and particle swarm optimization algorithms. Car orderly charging real-time control

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