Optimal bidding in Turkey day ahead electricity market for wind energy and pumped storage hydro power plant
<span>In electrical grid; when the demand power increases energy prices increase, when the demand decreases energy prices decrease. For this reason; to increase the total daily income, it is required to shift generations to the hours that high demand power values occurred. Wind Power Plants (W...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Pamukkale University
2016-10-01
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Series: | Pamukkale University Journal of Engineering Sciences |
Online Access: | http://dergipark.ulakbim.gov.tr/pajes/article/view/5000204967 |
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author | Ceyhun Yıldız Mustafa Şekkeli |
author_facet | Ceyhun Yıldız Mustafa Şekkeli |
author_sort | Ceyhun Yıldız |
collection | DOAJ |
description | <span>In electrical grid; when the demand power increases energy prices increase, when the demand decreases energy prices decrease. For this reason; to increase the total daily income, it is required to shift generations to the hours that high demand power values occurred. Wind Power Plants (WPP) have unstable and uncontrollable generation characteristic. For this reason, energy storage systems are needed to shift the generations of WPPs in time scale. In this study, four wind power plants (WPP) which are tied to the Turkish interconnected grid and a pumped hydro storage power plant (PSPP) that meets the energy storage requirement of these power plants are investigated in Turkey day ahead energy market. An optimization algorithm is developed using linear programming technique to maximize the day ahead market bids of these plants which are going to generate power together. When incomes and generations of the plants that are operated with optimization strategy is analyzed, it is seen that annual income increased by 2.737% compared with WPPs ‘s alone operation and generations are substantially shifted to the high demand power occurred hours.</span> |
first_indexed | 2024-04-10T10:08:20Z |
format | Article |
id | doaj.art-bdb445990e1e4384ba3ce373d9257128 |
institution | Directory Open Access Journal |
issn | 1300-7009 2147-5881 |
language | English |
last_indexed | 2024-04-10T10:08:20Z |
publishDate | 2016-10-01 |
publisher | Pamukkale University |
record_format | Article |
series | Pamukkale University Journal of Engineering Sciences |
spelling | doaj.art-bdb445990e1e4384ba3ce373d92571282023-02-15T16:22:22ZengPamukkale UniversityPamukkale University Journal of Engineering Sciences1300-70092147-58812016-10-012253613665000169113Optimal bidding in Turkey day ahead electricity market for wind energy and pumped storage hydro power plantCeyhun YıldızMustafa Şekkeli<span>In electrical grid; when the demand power increases energy prices increase, when the demand decreases energy prices decrease. For this reason; to increase the total daily income, it is required to shift generations to the hours that high demand power values occurred. Wind Power Plants (WPP) have unstable and uncontrollable generation characteristic. For this reason, energy storage systems are needed to shift the generations of WPPs in time scale. In this study, four wind power plants (WPP) which are tied to the Turkish interconnected grid and a pumped hydro storage power plant (PSPP) that meets the energy storage requirement of these power plants are investigated in Turkey day ahead energy market. An optimization algorithm is developed using linear programming technique to maximize the day ahead market bids of these plants which are going to generate power together. When incomes and generations of the plants that are operated with optimization strategy is analyzed, it is seen that annual income increased by 2.737% compared with WPPs ‘s alone operation and generations are substantially shifted to the high demand power occurred hours.</span>http://dergipark.ulakbim.gov.tr/pajes/article/view/5000204967 |
spellingShingle | Ceyhun Yıldız Mustafa Şekkeli Optimal bidding in Turkey day ahead electricity market for wind energy and pumped storage hydro power plant Pamukkale University Journal of Engineering Sciences |
title | Optimal bidding in Turkey day ahead electricity market for wind energy and pumped storage hydro power plant |
title_full | Optimal bidding in Turkey day ahead electricity market for wind energy and pumped storage hydro power plant |
title_fullStr | Optimal bidding in Turkey day ahead electricity market for wind energy and pumped storage hydro power plant |
title_full_unstemmed | Optimal bidding in Turkey day ahead electricity market for wind energy and pumped storage hydro power plant |
title_short | Optimal bidding in Turkey day ahead electricity market for wind energy and pumped storage hydro power plant |
title_sort | optimal bidding in turkey day ahead electricity market for wind energy and pumped storage hydro power plant |
url | http://dergipark.ulakbim.gov.tr/pajes/article/view/5000204967 |
work_keys_str_mv | AT ceyhunyıldız optimalbiddinginturkeydayaheadelectricitymarketforwindenergyandpumpedstoragehydropowerplant AT mustafasekkeli optimalbiddinginturkeydayaheadelectricitymarketforwindenergyandpumpedstoragehydropowerplant |