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Multi-microgrid double-layer coordination optimization scheduling method based on hybrid game

A multi-microgrid, coordinated and optimized technology, applied in the power network operating system integration, AC network with energy trade/energy transmission authority, electrical components, etc. revenue, the inability to guarantee the benefits of both multi-microgrid systems and aggregators, etc., to protect the privacy of personal electricity consumption, improve the ability to share electricity, and achieve the effect of rational utilization

Active Publication Date: 2020-12-08
CHINA THREE GORGES UNIV
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  • Application Information

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Problems solved by technology

[0003] In the prior art, the optimal scheduling of multi-microgrids, simply using the Stackelberg game cannot distribute the income fairly and reasonably, and cannot guarantee the income of a single microgrid or reduce its cost; simply using the Shapley value method cannot guarantee the benefits of both the multi-microgrid system and the aggregator

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  • Multi-microgrid double-layer coordination optimization scheduling method based on hybrid game
  • Multi-microgrid double-layer coordination optimization scheduling method based on hybrid game
  • Multi-microgrid double-layer coordination optimization scheduling method based on hybrid game

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Embodiment Construction

[0030] The multi-microgrid double-layer coordination optimization scheduling method based on mixed game includes the following steps:

[0031] Step 1: Consider the utility of the upper-level aggregator. The utility function of the upper-level aggregator is the product of the power purchased and sold by the microgrid and the aggregator and the price of purchased and sold electricity;

[0032] Step 2: Propose the cooperative game model of the lower-level multi-microgrid, and then consider the power satisfaction function and utility of the multi-microgrid. The utility function of the lower-level microgrid includes the operating cost of the microgrid, the power generation cost of the gas turbine, and the charging and discharging cost of the battery;

[0033] Step 3: Establish a Stackelberg game model, so that both the upper-level aggregator and the lower-level multi-microgrid tend to maximize their own interests;

[0034] Step 4: Use particle swarm optimization combined with cplex...

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Abstract

According to the multi-microgrid double-layer coordination optimization scheduling method based on the hybrid game, the utility of an upper-layer aggregator is considered, a cooperative game model ofa lower-layer multi-microgrid is provided, and then the power utilization satisfaction function and utility of the multi-microgrid are considered; wherein the utility function of the lower-layer multi-microgrid comprises the operation cost of the microgrid, the power generation cost of a gas turbine and the charging and discharging cost of a storage battery; a Stackelberg game model is established, so that both the upper-layer aggregator and the lower-layer multi-microgrid tend to maximize the benefits of the aggregator and the lower-layer multi-microgrid; a Stackelberg game model is solved byadopting a particle swarm algorithm, and the electricity purchasing and selling price is optimized by the upper-layer aggregator by adopting the particle swarm algorithm; and the lower-layer multi-microgrid adopts cplex software to solve and optimize an electricity purchasing and selling plan, so that the benefit is maximized. According to the method, the power interaction among the micro-grids is improved, the internal power sharing capability is improved, and the interaction power between the micro-grids and the aggregator is reduced; a Stackelberg game model is provided, the interaction power of peak and valley periods is reduced and increased respectively, and the effects of peak clipping and valley filling are achieved.

Description

technical field [0001] The invention relates to the technical field of multi-microgrid double-layer optimization control, in particular to a hybrid game-based multi-microgrid double-layer coordination optimization scheduling method. Background technique [0002] In the era of smart grids, the microgrid project is vigorously developed, and more microgrids are gathered to form a multi-microgrid system. Each microgrid performs power mutual aid through the microgrid group, which enhances the power supply reliability and operation economy of the overall system of the microgrid group. sex. Microgrids can not only trade energy with the distribution network, but also between microgrids, that is, through energy mutual aid and collaborative optimization control, the autonomy and accommodation capacity of the multi-microgrid system can be improved and economic benefits can be achieved. [0003] In the prior art, the optimal scheduling of multi-microgrids, simply using the Stackelberg ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/00H02J3/46H02J3/32G06N3/00G06Q10/04G06Q10/06G06Q50/06
CPCH02J3/0075H02J3/008H02J3/466H02J3/32G06N3/006G06Q10/04G06Q10/06312G06Q10/06315G06Q50/06H02J2203/10H02J2203/20H02J2300/20H02J2310/64Y04S20/222Y02B70/3225
Inventor 程杉王瑞陈梓铭严潇汪业乔
Owner CHINA THREE GORGES UNIV
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