Neural network energy coordinated controller for microgrid

Abstract

The invention belongs to the field of distributed power generation and smart power grid control, relates to a neural network-based microgrid energy coordination central processor, and particularly provides a smart energy central controller which can utilize a BP (Back Propagation) neural network to control a microgrid comprising a wind power generation unit, a gas turbine generation unit, a PV (photovoltaic) generation unit, a load tap changing transformer, various loads and other units. In the implementing process, actual power of each micro-power supply, loaded actual power and system frequency are utilized as 9 input nodes of the neural network controller; and a network mapping relationship between the 9 input nodes and 11 output nodes is constructed by using a single hidden layer BP neural network containing 12 hidden layer nodes, so that energy balance management of a microgrid system is controlled, and self-adaptive connection between the microgrid and large grids is realized.

Description

technical field [0001] The invention belongs to the field of distributed power generation and smart grid control, and in particular relates to an energy coordination central controller based on a neural network. Background technique [0002] With the development of the world economy and the aggravation of the energy crisis, my country has given great support to the microgrid and its intelligent development during the Eleventh Five-Year Plan period, and achieved certain results. During the 12th Five-Year Development Period, the country will take advantage of the opportunity of smart grid development to further promote the construction and practical development of micro-grids and smart micro-grids. The smart microgrid is the intelligence of the microgrid. In the microgrid, advanced equipment and advanced control methods are used to optimize the management of various power generation equipment and end users, so that it can provide users with more reliable and high-quality elect...

AI Technical Summary

Problems solved by technology

In particular, the power distribution and load matching of micro-power sources in the micro-grid are key technologies that need to be solved in micro-grid management and control. The traditional power control and load switching control provided by micro-power sources based on experience have low control accuracy and low efficiency. and other problems, the use of intelligent control will overcome the above shortcomings

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