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Distributed multi-objective collaborative optimization algorithm for microgrid energy management based on potential game

A collaborative optimization and energy management technology, applied in the fields of simulation, microgrid operation, analysis and scheduling, can solve problems such as inability to fully express distributed power or load self-interest

Active Publication Date: 2019-12-10
SOUTH CHINA UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Fundamentally speaking, MAS based on distributed information and computing algorithms is just an excellent technical solution, and cannot fully express the self-interest of distributed power sources or loads

Method used

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  • Distributed multi-objective collaborative optimization algorithm for microgrid energy management based on potential game
  • Distributed multi-objective collaborative optimization algorithm for microgrid energy management based on potential game
  • Distributed multi-objective collaborative optimization algorithm for microgrid energy management based on potential game

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Embodiment Construction

[0069] The present invention will be further described below in conjunction with specific examples.

[0070] see figure 1 and figure 2 , the distributed multi-objective collaborative optimization algorithm for microgrid energy management based on potential game provided in this embodiment, the specific conditions are as follows:

[0071] Step 1: Modeling of the microgrid and its component units

[0072] One includes photovoltaic array (PV / pv), wind turbine (WT / wt), diesel generator (DE / de), energy storage equipment (battery, BA / ba), load (LD / ld) and electric vehicle (EV / ev) typical microgrid such as figure 1 shown. The microgrid manager (MG Manager) receives the dispatch of the distribution network management system (DMS), and realizes the conversion between grid connection and off grid through the common connection point (PCC). Photovoltaics, wind turbines, diesel engines, batteries, loads, and electric vehicles are combined with corresponding sensors, controllers, int...

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Abstract

The invention discloses a micro-grid energy management distribution type multi-target cooperation optimization algorithm based on a potential game. The algorithm comprises the following steps of 1) micro-grid component unit modeling which includes a determination decision main body, a decision variable, a component constraint and multi-target modeling; 2) potential game modeling, wherein an incomefunction and a potential function are vector functions; and 3) based on the distributed game solving of the multi-target optimization algorithm, mainly using a multi-target evolutionary algorithm tosolve the pareto optimal solution set of the income function, and through distributed iteration, solving nash equilibrium. In the invention, a distributed multiagent decision optimization mode is adopted, a potential game theory possessing a distributed characteristic is combined, the expansion of a microgrid is easy to realize, local management and local decision making are realized too, system reliability and flexibility are increased, through a game mode, the distributed multi-target optimization is realized, the competition and cooperate relation of the microgrid and an individual is achieved, and individual interests are guaranteed and the overall benefits of the microgrid are maximized.

Description

technical field [0001] The present invention relates to the technical field of operation, simulation, analysis and scheduling of a microgrid, in particular to a distributed multi-objective collaborative optimization algorithm for energy management of a microgrid based on a potential game. Background technique [0002] The smart grid is flexible, clean, safe, economical, and friendly, and it is the development direction of the future grid. The massive access and full utilization of distributed power sources (including energy storage) and the realization of demand side management are the driving force behind the development of smart grids. Microgrid is the best bridge to connect distributed power sources and large power grids. It is usually defined as a low-voltage distribution network or system that includes distributed power sources, energy storage devices and controllable loads. Considered as a controllable source or load of the large power grid. Therefore, the microgrid ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/38H02J3/32H02J3/46G06N3/00G06N3/12G06Q10/04G06Q50/06
CPCG06N3/006G06N3/126G06Q10/04G06Q50/06H02J3/32H02J3/381H02J3/383H02J3/386H02J3/46H02J2203/20Y02E10/56Y02E10/76Y02E70/30
Inventor 曾君王侨侨刘俊峰
Owner SOUTH CHINA UNIV OF TECH
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