Micro-grid energy management scheme based on new energy power generation forecasting

Abstract

The invention discloses a distributed energy management algorithm based on short-term wind power forecasting results applied to micro-grid energy management. Firstly, a short-term wind power forecasting algorithm in combination with an automatic coding technology, a back propagation algorithm and a genetic algorithm is proposed, and compared with a traditional wind power forecasting algorithm, the accuracy of wind power forecasting can be effectively increased by using the short-term wind power forecasting algorithm; and secondly, based on the short-term wind power forecasting, the energy management problem is modeled as a three-stage Stackelberg game, the dynamic relationship among grid companies, energy storage companies, micro-grids and users is described, and an optimal management solution can be obtained by analyzing a game model through a reverse recursive method.

Description

technical field [0001] The invention belongs to the field of micro-grid energy management, and specifically relates to a distributed energy management algorithm based on short-term wind power prediction results applied in energy management, which can comprehensively consider the relationship among power grids, energy storage companies, micro-grids, and users In the case of wind power forecasting results, the benefits of each participant are maximized, so as to effectively solve the problem of microgrid energy management. Background technique [0002] In order to solve the contradiction between power system operation and distributed power generation, give full play to the comprehensive technical, economic and environmental benefits brought by distributed power to the power system and users, and meet the needs of power system operation for flexibility, controllability, reliability and With the higher requirements of smart grid for distributed power generation, microgrid techno...

AI Technical Summary

Problems solved by technology

Due to the instability of the wind itself, wind power generation is fluctuating and intermittent, which will cause serious difficulties for the dispatch of wind power by the microgrid

[0003] In microgrid energy management, many works focus on improving the benefits of the entire system while ignoring the internal connection and interaction between each participant. In addition, due to the volatility and intermittent nature of wind power generation, most work does not take into account The impact of renewable energy forecasts on microgrid energy management also ignores the process of energy transactions between market participants

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