Wind power consumption day-ahead scheduling method considering price type demand response and CSP power station participation

A technology for demand response and wind power accommodation, applied in computing, data processing applications, instruments, etc., can solve problems such as strong wind power volatility, wind curtailment, and weak grid regulation capabilities

Active Publication Date: 2019-06-07
NORTHEAST DIANLI UNIVERSITY
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Problems solved by technology

However, due to the comprehensive influence of technical and policy factors such as strong wind power volatility, weak grid regulation capacity, low

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  • Wind power consumption day-ahead scheduling method considering price type demand response and CSP power station participation
  • Wind power consumption day-ahead scheduling method considering price type demand response and CSP power station participation
  • Wind power consumption day-ahead scheduling method considering price type demand response and CSP power station participation

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Embodiment Construction

[0112] Next, a day-ahead scheduling method for wind power consumption that takes into account price-based demand response and CSP power station participation of the present invention will be further described by using the accompanying drawings and embodiments.

[0113] A day-ahead scheduling method for wind power consumption that takes into account price-based demand response and participation of CSP power stations in the present invention is to take into account the uncertainty of both wind power forecasting and price-based demand response and system security constraints under the premise of considering the comprehensive cost , constructing a scheduling model based on CSP power stations and price-based demand response participating in wind power consumption; this model combines CSP power stations and price-based demand response with wind power optimal dispatching, and jointly improves system consumption through coordinated dispatching on both sides of the source and load. The ...

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Abstract

The invention relates to a wind power consumption day-ahead scheduling method considering price type demand response and CSP power station participation. The problem of serious wind abandoning causedby weak power grid adjusting capability and single power market price mechanism in the prior art is solved. According to the invention, the comprehensive cost is considered; uncertainty of wind powerprediction and price type demand response and system safety constraint are considered; a scheduling model based on the CSP power station and the price type demand response participating in the wind power consumption is constructed; according to the model, the CSP power station and the price type demand response are combined with wind power optimization scheduling, the wind power consumption capacity of the system is improved through coordinated scheduling on the two sides of the source load, reference basis is provided for power grid scheduling personnel, and the method has the advantages of being scientific, reasonable, high in applicability, good in effect and the like.

Description

technical field [0001] The invention relates to a day-ahead scheduling method for wind power consumption taking into account price-type demand response and participation of CSP power stations. Background technique [0002] Northwest my country is rich in renewable energy such as wind and light, and "multi-source complementarity" has become the main feature of the local new energy power system. However, due to the comprehensive influence of technical and policy factors such as strong wind power volatility, weak grid regulation capacity, low load level, and the single price mechanism of the current electricity market, the phenomenon of wind curtailment is becoming more and more serious. How to take into account both technical and market factors, reduce curtailed wind power, and improve the level of wind power consumption is a practical problem that needs to be studied and solved urgently in power systems including large-scale wind power. [0003] By strengthening demand-side ...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06
Inventor 崔杨张汇泉赵君田赵钰婷仲悟之
Owner NORTHEAST DIANLI UNIVERSITY
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