Multi-objective operation control method for micro energy grid

Patent metadata

Field	Value
Publication number	US-11443252-B2
Application number	US-201817042948-A
Country	US
Kind code	B2
Filing date	Oct 31, 2018
Priority date	Mar 29, 2018
Publication date	Sep 13, 2022
Grant date	Sep 13, 2022

Abstract

The present invention disclosed a multi-objective operation control method for a micro energy grid, comprising the specific steps of: (1) establishing optimization objectives of the micro energy grid, the optimization objectives comprising comprehensive income maximization and comprehensive energy utilization rate maximization; (2) using GAMS software to solve for an optimal solution and a worst solution for each optimization objective; (3) processing the optimization objectives by means of a weighting method, uniformly changing a weighting coefficient, and acquiring a Pareto frontier by the GAMS software; (4) acquiring reference satisfaction levels of Pareto optimal solutions according to a fuzzy membership degree, and selecting the Pareto optimal solution having the maximum reference satisfaction level as an optimal compromise solution; and (5) executing scheduling of the micro energy grid according to the optimal compromise solution.

First claim

What is claimed is:

1. A multi-objective operation control method for a micro energy grid, wherein the method comprises:
(1) establishing optimization objectives of the micro energy grid, which comprises comprehensive income maximization and comprehensive energy utilization rate maximization;
(2) using GAMS software to solve for an optimal solution and a worst solution for each optimization objective;
(3) processing the optimization objectives by means of a weighting method; uniformly changing a weighting coefficient, and acquiring a Pareto frontier by the GAMS software;
(4) acquiring reference satisfaction levels of Pareto optimal solutions according to a fuzzy membership degree, and selecting the Pareto optimal solution with a maximum reference satisfaction level as an optimal compromise solution; and
(5) executing scheduling of the micro energy grid according to the optimal compromise solution,
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Assignees

• Univ South China Tech

Inventors

• Lin Xiaoming
• Zhang Yongjun

Classifications

• H02J2103/30

  Simulating, planning, modelling, reliability check or computer assisted design [CAD] of electric power networks · CPC title

• H02J2101/28

  Wind energy · CPC title

• G06Q50/06

  Energy or water supply · CPC title

• H02J3/466

  Scheduling or selectively controlling the operation of the generators or sources, e.g. connecting or disconnecting generators to meet a demand · CPC title

• G06Q10/04 Primary

  Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" (market predictions or forecasting for commercial activities G06Q30/0202) · CPC title