Electricity price strategy making method and device for energy service provider based on differential evolution algorithm

Abstract

The invention relates to an electricity price strategy making method for an energy service provider based on a differential evolution algorithm. The method comprises the following steps: step 1, inputting prediction data of a next day; step 2, calculating the output of renewable energy according to each prediction data; step 3, initializing a population to obtain an initial electricity purchasingprice and an electricity selling price of a service provider; step 4, enabling a management system of a user to receive the electricity price, and optimize the electricity load and the charging and discharging of the electric vehicle; and step 5, calculating fitness according to a load optimization result. The optimal individual value is recorded, if the optimal individual value meets the final termination condition, a result is output, and if the optimal individual value does not meet the final termination condition, a new electricity price population is generated through selection, intersection and variation, and then the step 4 is executed again until the obtained optimal individual value meets the final termination condition. The invention has the advantages of being simple in application, high in adaptability, high in convergence speed, high in robustness and the like.

Description

technical field [0001] The invention belongs to the field of grid energy metering services, and relates to a method for formulating an electricity price strategy, in particular to a method for formulating an electricity price strategy for an energy service provider based on a differential evolution algorithm. Background technique [0002] With the depletion of traditional fossil energy and the deepening of climate warming and environmental deterioration caused by its extensive use, the development of green and low-carbon energy, the promotion of energy conservation and emission reduction, and the construction of an environmentally friendly and resource-saving society have become a worldwide solution. It is a major strategic measure for the contradiction between economic development and resource environment. [0003] Against the backdrop of the energy revolution and the reform of the power retail side, and the rapid development of big data and information technology, it is fo...

AI Technical Summary

Problems solved by technology

When the scale of the game model solution is large, there are many types of participants, the objective functions of each subject are inconsistent, and the corresponding strategy sets are relatively rich, which makes it difficult to solve the game equilibrium solution

The efficiency of the traditional circular search solution method is low, and it is difficult to adapt to the actual solution needs

As an optimization algorithm suitable for solving large-scale systems, parallel and distributed algorithms have high efficiency in the process of solving game equilibrium solutions; when there are multiple Nash equilibrium solutions, traditional solution methods usually can only obtain one equilibrium solution understanding, lack of comprehensiveness and rationality

Images