An analysis of price spikes and deviations in the deregulated Turkish power market

The successful operation of a real time market is related to the planning in the day ahead market. We analyze the day ahead and real time market data for the Turkish power market for the period 2012–2015 to classify price spikes and their causes. We also focus on the levels of deviation between the...

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Main Authors: Gizem Gayretli, Ahmet Yucekaya, Ayse Humeyra Bilge
Format: Article
Language:English
Published: Elsevier 2019-11-01
Series:Energy Strategy Reviews
Online Access:http://www.sciencedirect.com/science/article/pii/S2211467X19300690
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spelling doaj-92ce24e750f947f0bd615f5828a9b5442020-11-25T01:16:35ZengElsevierEnergy Strategy Reviews2211-467X2019-11-0126An analysis of price spikes and deviations in the deregulated Turkish power marketGizem Gayretli0Ahmet Yucekaya1Ayse Humeyra Bilge2Graduate School of Science & Engineering, Kadir Has University, Istanbul, TurkeyIndustrial Engineering Department, Kadir Has University, Istanbul, Turkey; Corresponding author.Industrial Engineering Department, Kadir Has University, Istanbul, TurkeyThe successful operation of a real time market is related to the planning in the day ahead market. We analyze the day ahead and real time market data for the Turkish power market for the period 2012–2015 to classify price spikes and their causes. We also focus on the levels of deviation between the day ahead market values and the real time market values. We define price deviation and load deviation ratios to measure the level of deviation both in price and demand. The analysis for the load is based on load shedding and cycling values. We analyze the mean and standard deviation in market prices and we determine the price spike as a two sigma deviation from the mean value. It is shown that 60% of the price deviation ratios are in the range of (±20%), while 44% are in the range of (±10%) and 35% are in the range of (±5%). We also show that 56.9% of the spikes are due to problems in the generation of natural gas based power plants which affect the day ahead and real time prices. A total of 29.2% of the spikes are due to power plant and system failures that affect only real time prices. The share of high temperature based spikes is 13.9% which is a result of air conditioner usage. Keywords: Market clearing price, System marginal price, Price spike, Load shedding, Load cyclinghttp://www.sciencedirect.com/science/article/pii/S2211467X19300690
collection DOAJ
language English
format Article
sources DOAJ
author Gizem Gayretli
Ahmet Yucekaya
Ayse Humeyra Bilge
spellingShingle Gizem Gayretli
Ahmet Yucekaya
Ayse Humeyra Bilge
An analysis of price spikes and deviations in the deregulated Turkish power market
Energy Strategy Reviews
author_facet Gizem Gayretli
Ahmet Yucekaya
Ayse Humeyra Bilge
author_sort Gizem Gayretli
title An analysis of price spikes and deviations in the deregulated Turkish power market
title_short An analysis of price spikes and deviations in the deregulated Turkish power market
title_full An analysis of price spikes and deviations in the deregulated Turkish power market
title_fullStr An analysis of price spikes and deviations in the deregulated Turkish power market
title_full_unstemmed An analysis of price spikes and deviations in the deregulated Turkish power market
title_sort analysis of price spikes and deviations in the deregulated turkish power market
publisher Elsevier
series Energy Strategy Reviews
issn 2211-467X
publishDate 2019-11-01
description The successful operation of a real time market is related to the planning in the day ahead market. We analyze the day ahead and real time market data for the Turkish power market for the period 2012–2015 to classify price spikes and their causes. We also focus on the levels of deviation between the day ahead market values and the real time market values. We define price deviation and load deviation ratios to measure the level of deviation both in price and demand. The analysis for the load is based on load shedding and cycling values. We analyze the mean and standard deviation in market prices and we determine the price spike as a two sigma deviation from the mean value. It is shown that 60% of the price deviation ratios are in the range of (±20%), while 44% are in the range of (±10%) and 35% are in the range of (±5%). We also show that 56.9% of the spikes are due to problems in the generation of natural gas based power plants which affect the day ahead and real time prices. A total of 29.2% of the spikes are due to power plant and system failures that affect only real time prices. The share of high temperature based spikes is 13.9% which is a result of air conditioner usage. Keywords: Market clearing price, System marginal price, Price spike, Load shedding, Load cycling
url http://www.sciencedirect.com/science/article/pii/S2211467X19300690
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