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Operation optimization method for multi-agent-structure micro-grids

An optimized operation and multi-agent technology, applied in the field of power systems, can solve problems such as the inability to realize the distribution of micro-grid benefits, and the inconsistency of equipment property rights

Inactive Publication Date: 2015-03-04
TIANJIN UNIV
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Problems solved by technology

[0008] The present invention provides a micro-grid optimization operation method with a multi-agent structure. The present invention can solve the problem that the existing operation mode cannot realize the internal benefit distribution of the micro-grid when the property rights of the equipment in the micro-grid are not unified, or when a public micro-grid is involved.

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  • Operation optimization method for multi-agent-structure micro-grids
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  • Operation optimization method for multi-agent-structure micro-grids

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Embodiment Construction

[0046] In order to make the objectives, technical solutions and advantages of the present invention clearer, the embodiments of the present invention are further described in detail below.

[0047] In order to meet the respective interests of the microgrid constituent units belonging to different owners during the operation of the commercial microgrid, and at the same time consider the characteristics of the microgrid layered and distributed control, including various types of intermittent uncontrollable distributed power sources, the present invention implements the The example provides a multi-agent structure microgrid optimization operation method, see Figure 1 to Figure 12 , see the description below:

[0048] 1. The architecture and Agent settings for the optimized operation of the microgrid;

[0049] The microgrid optimization architecture based on distributed power bidding in the embodiment is as follows: figure 1As shown, it mainly involves three types of agents, mi...

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Abstract

The invention discloses an operation optimization method for multi-agent-structure micro-grids. The method comprises the steps that a micro-grid obtains electricity price Pbuy which is sold to users by a main grid in the next period and distributive energy purchase electricity price Psell; bidding-based micro-grid operation optimization calculation is performed; micro-grid distributive power supply achieves the quote function through unit bidding; bidding management agents assist to complete negotiation and optimization of units in the micro-grid; the bidding management agents send generation capacity bidding results of the units to the micro-grid control system, and the micro-grid control system performs micro-grid operation optimization based on bidding negotiation results. According to the method, the problems that prior operation modes cannot perform micro-grid internal benefit distribution during non-uniform properties of equipment in the micro grid or relating to public micro grids is solved, and achieving of the commercial operation of micro grids is facilitated.

Description

technical field [0001] The invention relates to the field of electric power systems, in particular to a multi-agent structure microgrid optimization operation method. Background technique [0002] As an important organization method of Distributed Energy Resource (DER), microgrid has received great attention, and the optimal operation of microgrid has become a research hotspot [1]. Multi-Agent Systems (MAS) is suitable for solving complex and open distributed problems. In recent years, it has been widely used in the operation control of microgrid, and its related technologies have also attracted attention and achieved certain results. [0003] At present, the optimal operation of the microgrid using the MAS structure is mostly based on the minimum cost of grid equipment power generation, operation and maintenance costs, or the cost of mutual purchase of electricity with the main grid [2]. full cooperation in the division of labor. This type of operation is relatively simpl...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06H02J2300/28H02J3/381H02J2300/24H02J2300/30G06Q40/04H02J3/008H02J2310/10H02J2300/10H02J2300/20H02J3/004Y02E10/56Y04S50/10G05B13/041
Inventor 孔祥玉王晟晨
Owner TIANJIN UNIV
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