Wind-thermal bundled power generation system optimization planning method

A technology for system optimization and planning schemes, applied in the direction of circuit devices, AC network circuits, sustainable buildings, etc., can solve problems such as rough planning models and failure to consider the operation constraints of thermal power units in the bundling system, and achieve the effect of reducing maintenance costs

Inactive Publication Date: 2017-01-11
STATE GRID CORP OF CHINA +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] Since the planning of the wind-thermal power bundling system is proposed based on the distribution of primary energy in my country, there are few foreign studies on this planning method; while in China, although some scholars have conducted relevant res

Method used

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  • Wind-thermal bundled power generation system optimization planning method
  • Wind-thermal bundled power generation system optimization planning method
  • Wind-thermal bundled power generation system optimization planning method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0095] Step 1: thermal power unit data initialization

[0096]Four typical units are selected as candidate units to form a thermal power unit planning scheme. The relevant parameters of the units are shown in Table 1. The investment cost of the thermal power unit is 650$ / kW, the annual maintenance cost is 2.2% of the investment cost, and the maximum spinning reserve of the unit is 20% of the rated capacity.

[0097] Table 1 Thermal power unit data

[0098]

[0099]

[0100] Step 2: Data initialization of wind and thermal power units

[0101] Two types of wind turbines are used in the wind farm. Table 2 shows the parameters and installation numbers of various types of wind turbines. The fan investment cost is set at 1120$ / kW.

[0102] Table 2 Two types of fan parameters and installation quantity

[0103] Types of A B P w,r (MW)

2 2 V ci (m / s)

3.33 3.89 V co (m / s)

15.28 25 V r (m / s)

8.33 11.11 Installs 250 ...

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Abstract

The invention belongs to the technical field of power system planning, and particularly relates to a wind-thermal bundled power generation system optimization planning method. The minimum total bundled system cost including the operation cost, the investment and the maintenance cost serves as an objective function, the minimum startup and shutdown and the maximum output and the minimum output of a thermal power unit and the like serve as constraint conditions, a wind-thermal bundled power generation system optimization planning model including a system operation behavior is built, and the model is solved by adopting algorithms such as dynamic planning and a tree drop technique. On the basis of simulating the operation behavior of the bundled system and in consideration of the operation constraints of the thermal power unit, the operation cost of the thermal power unit can be acquired more accurately, and the wind-thermal capacity planning result in the bundled system is more accurate and more reasonable.

Description

technical field [0001] The invention relates to the technical field of power system planning, in particular to a method for optimal planning of a wind-thermal power bundling power generation system. Background technique [0002] The increasing demand for energy and the increasingly serious environmental problems have made countries all over the world increase their efforts in the development of renewable energy. Among many renewable energy sources, wind energy, as a widely distributed renewable energy source, has received more and more attention in its development and utilization. With the continuous maturity of technology and the continuous reduction of installed cost, the development and utilization of wind power have shown unprecedented broad prospects. my country has a vast territory, most of the northern part has a temperate continental monsoon climate, and is rich in wind energy resources. At present, my country has planned many large-scale wind farms in Inner Mongol...

Claims

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Application Information

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IPC IPC(8): H02J3/46
CPCH02J3/46H02J2203/20Y02B10/30
Inventor 董吉哲高辉郭玉福刘智兴罗学宇赵广禄范恩洪丁丽娟
Owner STATE GRID CORP OF CHINA
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