Low-carbon intelligent park resource-load coordination optimization method

A smart park, coordinated and optimized technology, applied in resources, wind power generation, single-network parallel feeding arrangement, etc.

Active Publication Date: 2016-10-12
STATE GRID GASU ELECTRIC POWER RES INST +4
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Problems solved by technology

[0004] The main purpose of the present invention is to provide a low-carbon intelligent park source-load coordination optimization method, which aims to solve the problem of

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  • Low-carbon intelligent park resource-load coordination optimization method
  • Low-carbon intelligent park resource-load coordination optimization method
  • Low-carbon intelligent park resource-load coordination optimization method

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Embodiment Construction

[0053] Attached below figure 1 The present invention is further described.

[0054] Such as figure 1 As shown, a low-carbon intelligent park source-load coordination optimization method, the method includes:

[0055] (1) Initialize the time t as 0 and use it as the starting point;

[0056] (2) Initialize each parameter in each time period, and input various state data of the system;

[0057] (3) According to the output power of conventional units, calculate the total carbon emissions of conventional units during this period;

[0058] (4) According to the carbon emission quota of power plants stipulated by the state, the carbon emission limit for this period is obtained;

[0059] (5) Calculate the carbon over-emission cost F in this period from (3) and (4) 1 ;

[0060] (6) Calculate the power generation cost of conventional units according to the output power of conventional units;

[0061] (7) According to the power generation of wind turbines, the wind farm operation and...

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Abstract

The invention relates to a low-carbon intelligent park resource-load coordination optimization method, and the method comprises the steps: initializing time t as zero, and enabling the time t to serve as the start point; initializing parameters of all time periods, and inputting state data; calculating the total carbon emission of a conventional set in the time period, the carbon emission limit of this time period and the carbon excessive emission cost; calculating the power generation cost of the conventional set and the generalized cost of wind power, and obtaining resource-load coordination call cost; determining a target function and a constraint condition, and consuming large-scale wind power through adjusting the output of a thermal power generating unit. The method solves a problem of resource-load coordination optimization of a low-carbon power system with a wind farm, finds an optimal solution to an optimization model, and achieves the system safety, economic and low-carbon targets.

Description

Technical field: [0001] The invention relates to the field of optimal dispatching, in particular to a method for coordinating and optimizing source and load in a low-carbon intelligent park. Background technique: [0002] The source-load coordination of low-carbon smart parks is very different from traditional optimization problems. Compared with the traditional optimization, it mainly studies the theoretical model and solution algorithm for improving the wind power accommodation capacity and operation economy after large-scale wind power is connected to the grid from different angles, but does not consider the mutual consumption of the callable load and the generator set Wind power only considers the optimal scheduling strategy from the power generation side, and fails to incorporate demand-side resources and low-carbon environmental protection indicators into the wind power scheduling system, making it difficult to meet the requirements of new energy consumption and carbon...

Claims

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Application Information

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IPC IPC(8): H02J3/46G06Q10/06G06Q50/06
CPCG06Q10/0635G06Q50/06H02J3/46Y02E10/76Y02E40/70Y02P90/84Y04S10/50
Inventor 秦睿艾欣胡博文田世明拜润卿何欣智勇梁琛戴亮陈力赵红史玉杰胡殿刚李韶瑜马彦宏韩旭杉
Owner STATE GRID GASU ELECTRIC POWER RES INST
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