Coordinated scheduling method with AA-CAES for grid power and standby capacity

A technology of reserve capacity and coordinated scheduling, applied in data processing applications, instruments, calculations, etc., can solve the problem of high power grid operating costs

Inactive Publication Date: 2018-05-29
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

[0004] Aiming at the above defects or improvement needs of the prior art, the present invention provides an AA-CAES-based coordinated scheduling method for power grid power an

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  • Coordinated scheduling method with AA-CAES for grid power and standby capacity
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  • Coordinated scheduling method with AA-CAES for grid power and standby capacity

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[0085] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0086] The present invention considers the operation constraints and backup constraints of the advanced adiabatic compressed air energy storage station in detail, and proposes a power system electric energy-backup joint scheduling model including the advanced adiabatic compressed air energy storage station, which minimizes the power grid operator's The cost of purchasing electric energy, the cos...

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Abstract

The invention discloses a coordinated scheduling method with AA-CAES for grid power and standby capacity. The method comprises a step of establishing an objective function of a grid power and standbycapacity coordinated scheduling model including power purchase cost, purchase standby cost and wind curtailment cost, a step of establishing constraints of the grid power and standby capacity coordinated scheduling model including AA-CAES power plant operation constraints, AA-CAES power plant standby capacity constraints, system constraints and conventional unit constraints, wherein positive and negative standby capacity constraints in the system constraints are expressed by using a fuzzy opportunistic constraint form, a step of carrying out clear equivalence processing on wind power unit output error and load prediction error fuzzy numbers of system positive and negative standby capacity constraints in the conventional unit constraints, carrying out linear processing on the AA-CAES powerplant operation constraints, and obtaining a clear equivalent model of grid power and standby capacity coordinated scheduling, and a step of solving the clear equivalent model by using optimization software to obtain an optimal power and standby capacity purchase plan of a grid operator.

Description

technical field [0001] The invention belongs to the field of day-ahead optimal dispatching of electric power systems, and more specifically relates to a coordinated dispatching method of power grid electric energy and reserve capacity including AA-CAES. Background technique [0002] Energy storage technology is a key technology to realize the large-scale utilization of wind power and improve the economy and safety of power system operation. It is called the supporting technology of the energy revolution. Among many energy storage technologies, adiabatic compressed air energy storage technology is considered to be the most promising large-scale storage technology due to its advantages of low cost, long life, high efficiency, no dependence on fossil fuels, and large energy storage capacity. one of the technologies. Therefore, it is of great theoretical and practical significance to study the dispatching strategies of power systems with Advanced Adiabatic Compressed Air Energy...

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/0631G06Q10/067G06Q50/06Y04S10/50
Inventor 李姚旺苗世洪尹斌鑫杨炜晨刘君瑶张世旭王吉红
Owner HUAZHONG UNIV OF SCI & TECH
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