Generation expansion planning considering renewable energy integration and optimal unit commitment: A case study of Afghanistan
The main focus of the proposed framework is to examine the importance of electricity interconnections with a high share of intermittent Renewable Energy (RE) sources and attempts to link the gap between planning model and operation with considering realistic operating details. Therefore optimal Unit...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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AIMS Press
2019-07-01
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| Series: | AIMS Energy |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/10.3934/energy.2019.4.441/fulltext.html |
| _version_ | 1811344694561472512 |
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| author | Abdul Matin Ibrahimi Mohammad Masih Sediqi Harun Or Rashid Howlader Mir Sayed Shah Danish Shantanu Chakraborty Tomonobu Senjyu |
| author_facet | Abdul Matin Ibrahimi Mohammad Masih Sediqi Harun Or Rashid Howlader Mir Sayed Shah Danish Shantanu Chakraborty Tomonobu Senjyu |
| author_sort | Abdul Matin Ibrahimi |
| collection | DOAJ |
| description | The main focus of the proposed framework is to examine the importance of electricity interconnections with a high share of intermittent Renewable Energy (RE) sources and attempts to link the gap between planning model and operation with considering realistic operating details. Therefore optimal Unit Commitment (UC) is considered to analyze how operational aspects are appropriately done over the planning period. More specifically, a Mixed Integer Linear Programming (MILP) model is developed to address the specific challenges of the underlying UC problem. For modelling purposes, demand forecast, applicable RE potentials and the cost of RE technologies are estimated. To reduce the expenses and improve system stability, energy storage systems (pump storage hydro and thermal energy storage) are considered as well. For optimal UC, a typical day (24 h) is employed to determine the capacity expansion and daily operational planning. Each selected day expresses a part of the year (e.g., a season). Incorporation of short-term decisions into the long-term planning framework can strengthen the accuracy of the decisions and guaranty the stability of power networks. The proposed approach can provide valuable insights into the appropriate energy strategies followed by the investors and policymakers at a national and regional level. |
| first_indexed | 2024-04-13T19:51:37Z |
| format | Article |
| id | doaj.art-18e1007cd012402fb73b2b825ff4c7b5 |
| institution | Directory Open Access Journal |
| issn | 2333-8326 2333-8334 |
| language | English |
| last_indexed | 2024-04-13T19:51:37Z |
| publishDate | 2019-07-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | AIMS Energy |
| spelling | doaj.art-18e1007cd012402fb73b2b825ff4c7b52022-12-22T02:32:30ZengAIMS PressAIMS Energy2333-83262333-83342019-07-017444146410.3934/energy.2019.4.441Generation expansion planning considering renewable energy integration and optimal unit commitment: A case study of AfghanistanAbdul Matin Ibrahimi0Mohammad Masih Sediqi1Harun Or Rashid Howlader2Mir Sayed Shah Danish3Shantanu Chakraborty4Tomonobu Senjyu51 Electrical and Electronics Engineering Department, University of the Ryukyus, Okinawa Japan1 Electrical and Electronics Engineering Department, University of the Ryukyus, Okinawa Japan1 Electrical and Electronics Engineering Department, University of the Ryukyus, Okinawa Japan1 Electrical and Electronics Engineering Department, University of the Ryukyus, Okinawa Japan2 University of Melbourne, Australia1 Electrical and Electronics Engineering Department, University of the Ryukyus, Okinawa JapanThe main focus of the proposed framework is to examine the importance of electricity interconnections with a high share of intermittent Renewable Energy (RE) sources and attempts to link the gap between planning model and operation with considering realistic operating details. Therefore optimal Unit Commitment (UC) is considered to analyze how operational aspects are appropriately done over the planning period. More specifically, a Mixed Integer Linear Programming (MILP) model is developed to address the specific challenges of the underlying UC problem. For modelling purposes, demand forecast, applicable RE potentials and the cost of RE technologies are estimated. To reduce the expenses and improve system stability, energy storage systems (pump storage hydro and thermal energy storage) are considered as well. For optimal UC, a typical day (24 h) is employed to determine the capacity expansion and daily operational planning. Each selected day expresses a part of the year (e.g., a season). Incorporation of short-term decisions into the long-term planning framework can strengthen the accuracy of the decisions and guaranty the stability of power networks. The proposed approach can provide valuable insights into the appropriate energy strategies followed by the investors and policymakers at a national and regional level.https://www.aimspress.com/article/10.3934/energy.2019.4.441/fulltext.htmlenergy expansion plandemand forecastoptimal unit commitmentrenewable energy technologiesenergy storage system |
| spellingShingle | Abdul Matin Ibrahimi Mohammad Masih Sediqi Harun Or Rashid Howlader Mir Sayed Shah Danish Shantanu Chakraborty Tomonobu Senjyu Generation expansion planning considering renewable energy integration and optimal unit commitment: A case study of Afghanistan AIMS Energy energy expansion plan demand forecast optimal unit commitment renewable energy technologies energy storage system |
| title | Generation expansion planning considering renewable energy integration and optimal unit commitment: A case study of Afghanistan |
| title_full | Generation expansion planning considering renewable energy integration and optimal unit commitment: A case study of Afghanistan |
| title_fullStr | Generation expansion planning considering renewable energy integration and optimal unit commitment: A case study of Afghanistan |
| title_full_unstemmed | Generation expansion planning considering renewable energy integration and optimal unit commitment: A case study of Afghanistan |
| title_short | Generation expansion planning considering renewable energy integration and optimal unit commitment: A case study of Afghanistan |
| title_sort | generation expansion planning considering renewable energy integration and optimal unit commitment a case study of afghanistan |
| topic | energy expansion plan demand forecast optimal unit commitment renewable energy technologies energy storage system |
| url | https://www.aimspress.com/article/10.3934/energy.2019.4.441/fulltext.html |
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