Requirement responding scheduling method for wind power uncertainty

A demand response and scheduling method technology, applied in data processing applications, instruments, forecasting, etc., can solve problems such as wide distribution, difficulty in fully tapping load scheduling potential, and difficulty in direct control of demand response resources.

Active Publication Date: 2014-04-16
STATE GRID CORP OF CHINA +2
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  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0003] The load interacts with the power grid by participating in demand response projects. There have been a lot of research and preliminary practice at home and abroad. However, the load capacity in the power system is huge, the distribution is wide, and the indivi

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  • Requirement responding scheduling method for wind power uncertainty
  • Requirement responding scheduling method for wind power uncertainty
  • Requirement responding scheduling method for wind power uncertainty

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Embodiment Construction

[0083] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0084] The purpose of the present invention is to provide a demand response scheduling method to deal with wind power uncertainty. The method coordinates and controls different types of demand response loads distributed in a wide area through load agents. The joint optimal dispatch of load agents and generating units is directly carried out to improve the capacity of wind power acceptance and reduce system dispatch costs.

[0085] The demand response dispatching method proposed by the present invention is based on the distributed decision-making model of the load agent, and the modeling method of the distributed decision-making model of the load agent is as follows:

[0086] The present invention designs that the quotation content of each load agent is a function of compensation price about the adjusted power, and the qu...

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Abstract

The invention relates to a requirement responding scheduling method for wind power uncertainty. The method comprises a scheduling trading center predicts a benchmark load curve and a wind power generation curve and releases scheduling information to load agents; the load agents perform learning and decision making according to scheduling requirement information, system operation information and historical trading information and formulate bidding strategies and reports to strategies to the scheduling trading center; the scheduling trading center performs optimal scheduling on generation and consumption power resources with the lowest scheduling cost as the target after obtaining load agent bidding information and generator set calling cost information and sends scheduling instructions and final compensation price to the load agent and the generator set; the load agents adjust consumption power by means of electricity price adjusting and stimulation with the lowest scheduling cost as the target after obtaining final scheduling instructions. According to the method, an effective way is provided for wide-area distributed medium and small volume load resources to participate in system scheduling, the wind power volume load admitting capacity is improved, and the scheduling cost is reduced.

Description

technical field [0001] The invention relates to a scheduling method in the field of AC and DC power system operation and control, in particular to a demand response scheduling method for wind power uncertainty. Background technique [0002] Driven by factors such as energy resource shortage, climate change and environmental pollution, human beings have realized the importance and urgency of vigorously developing renewable energy. However, due to the "unfriendly" characteristics of wind power and other renewable energy sources such as volatility, intermittency, anti-peak regulation, and low dispatchability, it poses challenges to the traditional grid regulation method of "power generation tracking load". In order to cope with this challenge, the power supply, power grid and load should be coordinated and interacted, which is not only conducive to improving the energy and power dynamic balance capability of the power system, but also conducive to the optimal allocation of larg...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06
CPCY04S10/54Y04S10/50
Inventor 刘建涛王珂姚建国杨胜春冯树海李亚平毛文博丁茂生曾丹周竞郭晓蕊
Owner STATE GRID CORP OF CHINA
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