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Two-stage stochastic planning-based virtual power plant risk avoidance optimization operation method

A technology of virtual power plant and optimized operation, applied in the field of electric power

Inactive Publication Date: 2016-09-07
国网电力科学研究院武汉能效测评有限公司 +4
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Problems solved by technology

[0005] In view of the above technical problems, the purpose of this invention is to propose a virtual power plant optimization operation method considering the day-ahead market electricity price and the uncertainty of wind power and photovoltaic power generation output, and solve the problem of virtual power plant operation optimization on the basis of ensuring the sustainable operation of equipment

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[0064] The specific embodiment of the present invention will be described with reference to the accompanying drawings.

[0065] In the virtual power plant of this embodiment, the capacity of the wind farm is 25KW, and the cut-in and cut-out wind speeds of the wind turbines are 3.1 and 25 m / s respectively. The rated capacity of photovoltaic power generation is 12MW. The lithium battery energy storage system is 220V, 16A. The power range of the micro steam turbine is 5-28MW, and the power range of the diesel generator is 5-30MW.

[0066] The shape and scale parameters of the Weibull distribution used to model stochastic wind output were 15 and 1.75, respectively. figure 1 , figure 2 and image 3 It shows 10 different scenarios of day-ahead market electricity price, photovoltaic output and wind power output respectively.

[0067] By considering the above different scenarios, and assuming β=0.4, α=95%, the expected income of the virtual power plant is as follows Figure 4 s...

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Abstract

The invention belongs to the electric power field and relates to a two-stage stochastic planning-based virtual power plant risk avoidance optimization operation method. With profit maximization adopted as an objective, a day-ahead market stage and an actual market stage are obtained through division; a virtual power plant optimization operation model is established according to risks brought about by the uncertainty of the electricity price, wind power generated output and photovoltaic power generated output of a day-ahead market; virtual power plant optimization operation problems are researched under different situations of the electricity price, wind power generated output and photovoltaic power generated output of the day-ahead market; and an objective function is divided into three parts, namely, benefits, cost and risk planning. With the method adapted, a basis can be provided for the purchase and sell of electricity in the day-ahead market and an electric power and energy balance market for a virtual power plant operator; retailers can adjust the operating situation of different equipment of the virtual power plant, electricity sell and purchase sources according to the electricity price of the day-ahead market and renewable energy output, so as to maximize their own interests; and energy conservation and emission reduction can be realized with the interests of the virtual power plant operator ensured.

Description

technical field [0001] The invention belongs to the field of electric power, in particular to a risk-avoiding optimization operation method of a virtual power plant based on two-stage stochastic programming. Background technique [0002] With the rapid development of economy and society, the reliability of power supply and power demand of power users are increasing day by day. However, the gradual depletion of fossil energy and the deterioration of environmental problems have brought new challenges to the development of the power system. As one of the methods for implementing demand-side management, virtual power plants form large-scale power-saving capabilities by integrating energy-saving measures, distributed power generation and energy storage technologies, and reduce power users' demand for power on the grid, thereby achieving the same level as expanding the power system. It provides a new idea for solving the power demand of power users, especially high energy-consumi...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
CPCG06Q10/04G06Q10/0635G06Q50/06
Inventor 向洁曾鸣欧阳邵杰赵爽周强
Owner 国网电力科学研究院武汉能效测评有限公司
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