A hierarchical multi-objective joint economic dispatching method for microgrids
A technology of economic scheduling and micro-grid, which is applied in the field of energy Internet, can solve the problems of insufficient consideration of the operating characteristics of distributed power sources, results that are not in line with actual production, and limitations of objective functions.
Active Publication Date: 2021-09-03
WUHAN UNIV OF TECH
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Problems solved by technology
However, whether it is single-objective or multi-objective economic dispatching of microgrids, there are generally problems such as relatively limited objective functions, insufficient consideration of the operating characteristics of distributed power sources, and resulting results that are not in line with actual production.
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[0102] In order to facilitate the understanding of the present invention, the present invention will be understood in connection with the accompanying drawings and embodiments, and the embodiments described herein are intended to illustrate and explain the present invention. this invention.
[0103] Bonded below Figure 1 to 8 Introduction to the embodiments of the present invention, the specific steps are as follows:
[0104] Step 1: Establish a load-level model and get an electric vehicle ordered charge and discharge load, establish a source-level model, and establish a source-order model;
[0105] The specific steps of the establishment of the load stage model in step 1 are as follows:
[0106] Step 1.1: Determine the original load peak of the microgrid, and the load early peak start time is T start_m , The load time is T start_n The number of electric vehicles is n = 700, and the electric car user returns Time is T 0 And the driving distance is s;
[0107] Step 1.2: Compare ele...
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The invention proposes an economic scheduling method for hierarchical multi-objective integration of a microgrid. The invention establishes a load level model, a source-charge level model and a source-network load level model, and optimizes calculations to obtain the orderly charging and discharging load of electric vehicles at each moment; The target particle swarm optimization algorithm solves the source-load level model to obtain the optimized output of the energy storage unit at each moment and the net load of the microgrid at each moment; The time output is substituted into the source-network load-level model, and the source-network load-level model is solved by using the multi-objective particle swarm algorithm, and the optimized diesel engine output at each time and the optimized main network connection line output at each time are obtained. The invention enables large-scale electric vehicles, micro-grids and main grids to achieve the effect of unifying operation economy, environment and safety benefits.
Description
Technical field [0001] The present invention belongs to the energy internet field, and more particularly to a micro-grid grading multi-objective combination economic scheduling method. Background technique [0002] With the increasing global resource lack of resources and ecological pollution problems, micro-grid is an effective supplementary means of operation of the main network, which is increasingly favored by countries around the world. The economic scheduling of the microgrid is one of the key contents of the related research of microgrid. It is the purpose of to properly allocate economic benefits, environmental benefits, or other indicators. [0003] At present, on the one hand, there is a large number of microgrid economic scheduling research involves single target optimization scheduling with economic costs, but its defect is to consider relatively single, difficult to comprehensively take into account microgrid economics, environmental, efficacy, and safety. Multi-part...
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IPC IPC(8): H02J3/32H02J3/46
CPCH02J3/32H02J3/46H02J2203/20
Inventor 侯慧薛梦雅唐金锐吴细秀李显强刘鹏徐焘
Owner WUHAN UNIV OF TECH