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Scheduling optimization system for assisting independent power generators to participate in market bidding by intelligent agent

A technology for agents and power generators, applied in market forecasting, system integration technology, information technology support systems, etc., to solve problems such as the inability to optimize profits and the inability to find bid prices

Active Publication Date: 2019-12-27
GUANGDONG UNIV OF TECH
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  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

This kind of behavior is easily limited to the conservative bidding price range, and it is impossible to find the optimal bidding price, so the profit obtained cannot be optimal.

Method used

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  • Scheduling optimization system for assisting independent power generators to participate in market bidding by intelligent agent
  • Scheduling optimization system for assisting independent power generators to participate in market bidding by intelligent agent
  • Scheduling optimization system for assisting independent power generators to participate in market bidding by intelligent agent

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example

[0112] (1) Traditional scheduling optimization model

[0113] Generator bidding data is the bidding data sent by power generators to the electricity market, which shows the relationship between unit output and price, as well as the output constraints of units. Among them, the output curve is shown in formula (1).

[0114] F(P it )=α it (cP it 2 +bP it +a) (1)

[0115] Among them, α it is the t-hour bidding coefficient of the i-th generator that is greater than zero; a, b, and c are the generator quadratic cost function coefficients.

[0116] The load module is used to estimate the electricity consumption of each node user, and transmit the user's electricity load curve to the electricity market.

[0117] The power market module is to use the generator bidding data module and the load module to obtain the unit output of each generator unit and the electricity price of each node through the optimal dispatch of the safety-constrained unit combination (SCUC).

[0118] SCU...

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Abstract

The invention discloses a scheduling optimization system for assisting independent power generators to participate in market bidding by an intelligent agent. The system comprises a power generator bidding data module, a load module, a power market module, a profit index module and an intelligent agent model. The power generators submit bidding data packets of the power generators to the power market, and the power market combines data obtained from the power generators with loads, so that the power unit price and the unit output condition of each power generator and the node electricity priceLMP of each node are obtained. A step of calculating profit indexes of the power generators and a step of sending the profit indexes to the intelligent agent are carried out, a step of speculating bidding power generation parameters of the secondary-state power generators by the intelligent agent is performed through machine learning, and the power generators can participate in the next bidding byby adopting the bidding parameters of the intelligent agent. According to the invention, the bidding price does not depend on the last bid winning condition, so that the power generator can quickly find the optimal bidding price.

Description

technical field [0001] The invention relates to the field of power grid dispatching optimization, in particular to a dispatching optimization system in which an intelligent body assists independent power producers to participate in market bidding. Background technique [0002] Unit Combination in Electricity Markets (SCUC) is an important part of current electricity system operating decisions and is exploited by Independent System Operators (ISOs) or Regional Transmission Organizations (RTOs) to clear real-time and one-day-ahead markets. It has many years of research and practice abroad, such as PJM, MISO, and ISO-NE. In the current research, the methods for finding the optimal SCUC include reserve adjustment method, stochastic optimization method, and two-stage adaptive robust optimization model method. [0003] Reserve adjustment methods are widely used in today's electric power industry. Many studies in this area have focused on analyzing the level of reserve requiremen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q30/02G06Q30/08G06Q50/06G06N20/00
CPCG06Q10/04G06Q30/0206G06Q30/08G06Q50/06G06N20/00Y04S50/10Y02E40/70
Inventor 汤瑞欣许方园陈栩杰
Owner GUANGDONG UNIV OF TECH
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