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Paper Information

Journal:   JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING   MARCH 2014 , Volume 2 , Number 8; Page(s) 5 To 13.
 
Paper: 

INTRODUCE AN OPTIMAL PRICING STRATEGY USING THE PARAMETER OF "CONTINGENCY ANALYSIS" NEPLAN SOFTWARE IN THE POWER MARKET CASE STUDY (AZERBAIJAN ELECTRICITY NETWORK)

 
 
Author(s):  MODABE JALIL*, TAGHIZADEGAN NAVID
 
* DEPARTMENT OF ELECTRICAL ENGINEERING, AHAR BRANCH, ISLAMIC AZAD UNIVERSITY, AHAR, IRAN
 
Abstract: 

Overall price optimization strategy in the deregulated electricity market is one of the most important challenges for the participants, In this paper, we used Contingency Analysis Module of NEPLAN Software, a strategy of pricing to market participants is depicted.
Each of power plants according to their size and share of the Contingency Analysis should be considered in the price of its hour. In the second stage, each of the power plants and cross-border supplier required forecasts on price and load request for determined hours, that can be used Artificial Neural networks. Thus, an efficient integrated model of optimized pricing for participants in the power market is extracted. The result of this study in the Azerbaijan power network for the special day and hour checked and has been provided.

 
Keyword(s): POWER MARKET, ARTIFICIAL NEURAL NETWORKS, CONTINGENCY ANALYSIS
 
 
References: 
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APA: Copy

MODABE, J., & TAGHIZADEGAN, N. (2014). INTRODUCE AN OPTIMAL PRICING STRATEGY USING THE PARAMETER OF "CONTINGENCY ANALYSIS" NEPLAN SOFTWARE IN THE POWER MARKET CASE STUDY (AZERBAIJAN ELECTRICITY NETWORK). JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING, 2(8), 5-13. https://www.sid.ir/en/journal/ViewPaper.aspx?id=407904



Vancouver: Copy

MODABE JALIL, TAGHIZADEGAN NAVID. INTRODUCE AN OPTIMAL PRICING STRATEGY USING THE PARAMETER OF "CONTINGENCY ANALYSIS" NEPLAN SOFTWARE IN THE POWER MARKET CASE STUDY (AZERBAIJAN ELECTRICITY NETWORK). JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING. 2014 [cited 2021May18];2(8):5-13. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=407904



IEEE: Copy

MODABE, J., TAGHIZADEGAN, N., 2014. INTRODUCE AN OPTIMAL PRICING STRATEGY USING THE PARAMETER OF "CONTINGENCY ANALYSIS" NEPLAN SOFTWARE IN THE POWER MARKET CASE STUDY (AZERBAIJAN ELECTRICITY NETWORK). JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING, [online] 2(8), pp.5-13. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=407904.



 
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