Determination of Shadow Price of Iran Electricity Market Using the Fuzzy Electricity Generation Planning | Zendy

Bahareh Hashemlou | Zendy; Masaeli Arashk | Zendy; Hossein Sadeghi | Zendy; Alireza Nasseri | Zendy; Mohammadhadi Hajian | Zendy

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Determination of Shadow Price of Iran Electricity Market Using the Fuzzy Electricity Generation Planning

Author(s) -

Bahareh Hashemlou,

Masaeli Arashk,

Hossein Sadeghi,

Alireza Nasseri,

Mohammadhadi Hajian

Publication year - 2015

Publication title -

current world environment

Language(s) - English

Resource type - Journals

eISSN - 2320-8031

pISSN - 0973-4929

DOI - 10.12944/cwe.10.1.09

Subject(s) - electricity market , electricity , shadow price , shadow (psychology) , fuzzy logic , linear programming , economics , grid , electricity retailing , electricity generation , business , environmental economics , computer science , engineering , mathematical optimization , power (physics) , mathematics , electrical engineering , psychology , geometry , algorithm , artificial intelligence , psychotherapist , physics , quantum mechanics

The present economies are so dependent on the electricity that even the short electricity outages cannot be tolerated. Decisions in Iran’s Electricity Grid are made on basis of the effective security of the units, which is rather distant from the price and market based planning. The present research was conducted to forecast the shadow price in Iran’s electricity market, for providing efficient tools for operators and transmitters of the market. Linear programming is among the powerful instruments for making instant balance and revealing the shadow price of electricity industry. Considering the uncertainty of the parameters involved in electricity grid models, implementation of fuzzy logic can be effective in regulating such parameters. Toward this aim, the present research was conducted using the shadow price of Iran’s electricity market within a time period from 20-Mar-2013 to 20-Mar-2014 using the fuzzy linear programming model. The results showed the shadow prices as 343 IRR and 383 IRR for the days with maximum and minimum use, respectively. key words: Iran’s electricity market; shadow price; fuzzy linear programming.

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