Optimal scheduling method of integrated energy system considering power-to-gas running cost

An integrated energy system and operating cost technology, applied in the field of electric power, can solve the problems that the dispatching operation of the integrated energy system is rarely affected, and affects the wind power reception capacity and operation economy of the system.

Active Publication Date: 2018-06-15
ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER COMPANY +1
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  • Application Information

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Problems solved by technology

[0005] At present, in the existing research on the optimal dispatching of P2G integrated energy systems, there are few studies that consider the impact of P2G operating costs on the dispatching operation of integr...

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  • Optimal scheduling method of integrated energy system considering power-to-gas running cost
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  • Optimal scheduling method of integrated energy system considering power-to-gas running cost

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[0045] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0046] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

[0047] In a typical implementation of the present application, such as figure 1 As shown, a day-ahead optimizat...

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Abstract

The invention discloses an optimal scheduling method of an integrated energy system considering the power-to-gas (P2G) running cost, comprising the following steps: establishing an energy hub model containing P2G, analyzing the influence of the P2G running cost on the system economy and the wind power acceptance capacity on the basis of the model, and establishing a multi-objective day-ahead optimal scheduling model; and coordinating the contradictory relation of the multi-objective day-ahead optimal scheduling model through a weighted fuzzy programming method to realize the transformation from multiple objectives to a single objective. The multi-objective model proposed in the invention takes both the system economy and the wind power acceptance capacity into consideration, and diversified choices can be provided for scheduling decision making.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to a day-ahead optimal scheduling method for an integrated energy system considering the operation cost of power-to-gas. Background technique [0002] At present, the problem of abandoned wind consumption in my country is extremely serious. According to statistics, in 2016, the annual abandoned wind power was 49.7 billion kWh, and the average abandoned wind rate reached 17.1%. Among them, the abandoned wind rate in Gansu Province was as high as 43%. At the same time, the proposal of the Energy Internet provides a new solution for the consumption of renewable energy, and the optimal dispatching operation of the integrated energy system as an important physical carrier is the key to realize the consumption of curtailed wind. [0003] As the core link of the integrated energy system, power to gas (P2G) technology can convert wind power that is difficult to absorb during off-pea...

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Application Information

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IPC IPC(8): H02J3/38G06Q10/06G06Q50/06
CPCG06Q10/0631G06Q50/06H02J3/386H02J2203/20Y02E10/76Y02E40/70Y04S10/50
Inventor 梁正堂刘文学马欢孙景文刘萌邢鲁华麻常辉王昕张国辉李华东张磊
Owner ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID SHANDONG ELECTRIC POWER COMPANY
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