Optimized scheduling method and device for micro-energy grid of intelligent agricultural greenhouse

Abstract

The invention provides an optimized scheduling method and device for a micro-energy grid of an intelligent agricultural greenhouse. The method comprises steps as follows: a scheduling optimizing model of the micro-energy grid is established on the basis of energy flowing models of micro-energy in the micro-energy grid of the intelligent photovoltaic facility agricultural greenhouse with the purpose that the comprehensive operation cost of the micro-energy grid in a day is lowest; the scheduling optimizing model is solved with a dynamic learning factor type second-order oscillation cultural particle swarm algorithm, and the operation scheduling strategy of the micro-energy grid is obtained. According to the optimized scheduling method and device for the micro-energy grid of the intelligent agricultural greenhouse, the scheduling optimizing model is solved with the dynamic learning factor type second-order oscillation cultural particle swarm algorithm, so that the scheduling strategy is obtained, the method and the device have higher operating speed, higher global searching ability and better convergence, and economical operation of the micro-energy grid of the intelligent photovoltaic facility agricultural greenhouse can be realized.

Description

technical field [0001] The invention relates to the field of new energy micro-grid scheduling, and more specifically, to a method and device for optimal scheduling of micro-energy grids in smart agricultural greenhouses. Background technique [0002] my country's Gansu region has a high intensity of light and abundant solar energy resources. As of 2016, the installed capacity of photovoltaics reached 5.673 million kilowatts. However, the economy in this region is underdeveloped, and the growth in electricity demand is slow. , In the first half of 2016, the light abandonment rate in Gansu was 32.1%, and the situation was very severe. In order to solve the above problems, the combination of photovoltaic power generation and smart agricultural greenhouses, the establishment of photovoltaic smart facility agricultural greenhouse micro-energy network and optimized dispatching can not only implement the national photovoltaic poverty alleviation policy, improve farmers' income level...

AI Technical Summary

Problems solved by technology

[0004] Due to the complexity, nonlinearity, constraint, and multi-extreme nature of the scheduling optimization problem of the photovoltaic agricultural greenhouse micro-energy network, traditional algorithms cannot be used to solve it well.

Moreover, smart agricultural greenhouse equipment is quite different from ordinary microgrid equipment, and the constraints are complex. Finding a suitable scheduling algorithm is an urgent problem that microgrid builders need to solve.

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