A multi-timescale hybrid stochastic/deterministic generation scheduling framework with flexiramp and cycliramp costs
Flexible ramping products (flexiramp), provided by entitled resources to meet net demand forecast error, are the underpinning for the accommodation of the substantial uncertainties associated with variable wind power. This paper proposes an enhanced flexiramp modeling approach, cast in a hybrid stoc...
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Elsevier Ltd
2018
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| Online Access: | http://ir.unimas.my/19832/ http://ir.unimas.my/19832/ http://ir.unimas.my/19832/ http://ir.unimas.my/19832/1/A-multi-timescale-hybrid-stochasticdeterministic-generation-scheduling-framework-with-flexiramp-and-cycliramp-costs_2018_International-Journal-of-Electrical-Power-and-Energy-Systems.html |
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unimas-198322018-03-16T07:13:14Z http://ir.unimas.my/19832/ A multi-timescale hybrid stochastic/deterministic generation scheduling framework with flexiramp and cycliramp costs Mohamed, Shaaban Tan, Wen-Shan Md Pauzi, Abdullah TK Electrical engineering. Electronics Nuclear engineering Flexible ramping products (flexiramp), provided by entitled resources to meet net demand forecast error, are the underpinning for the accommodation of the substantial uncertainties associated with variable wind power. This paper proposes an enhanced flexiramp modeling approach, cast in a hybrid stochastic/deterministic multi-timescale framework. The framework employs a chance-constrained day-ahead scheduling method, as well as deterministic scheduling on intra-hourly basis (real-time scheduling), to allow optimal procurement planning of the flexiramp products in both timescales. A stepwise and piecewise demand price curve is also proposed to calculate the flexiramp surplus procurement price. Non-generation resource (NGR), referring to energy storage, is implemented to provide extra flexibility. Additionally, cycling ramping cost (cycliramp), introduced to model operational and maintenance costs and reduce the wear and tear of generators, is also included as a penalty. Numerical tests are conducted on 6-bus and 118-bus systems. Results demonstrate the merits of the proposed scheduling model as well as the effects of flexiramp and cycliramp costs in the multi-timescale scheduling. © 2018 Elsevier Ltd Elsevier Ltd 2018-07 Article PeerReviewed text en http://ir.unimas.my/19832/1/A-multi-timescale-hybrid-stochasticdeterministic-generation-scheduling-framework-with-flexiramp-and-cycliramp-costs_2018_International-Journal-of-Electrical-Power-and-Energy-Systems.html Mohamed, Shaaban and Tan, Wen-Shan and Md Pauzi, Abdullah (2018) A multi-timescale hybrid stochastic/deterministic generation scheduling framework with flexiramp and cycliramp costs. International Journal of Electrical Power and Energy Systems, 99. pp. 585-593. ISSN 0142-0615 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041747283&doi=10.1016%2fj.ijepes.2018.02.004&partnerID=40&md5=f0771b15bcd256415c0a74a049b177d3 DOI: 10.1016/j.ijepes.2018.02.004 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Malaysia Sarawak |
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UNIMAS Institutional Repository |
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Online Access |
| language |
English |
| topic |
TK Electrical engineering. Electronics Nuclear engineering |
| spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering Mohamed, Shaaban Tan, Wen-Shan Md Pauzi, Abdullah A multi-timescale hybrid stochastic/deterministic generation scheduling framework with flexiramp and cycliramp costs |
| description |
Flexible ramping products (flexiramp), provided by entitled resources to meet net demand forecast error, are the underpinning for the accommodation of the substantial uncertainties associated with variable wind power. This paper proposes an enhanced flexiramp modeling approach, cast in a hybrid stochastic/deterministic multi-timescale framework. The framework employs a chance-constrained day-ahead scheduling method, as well as deterministic scheduling on intra-hourly basis (real-time scheduling), to allow optimal procurement planning of the flexiramp products in both timescales. A stepwise and piecewise demand price curve is also proposed to calculate the flexiramp surplus procurement price. Non-generation resource (NGR), referring to energy storage, is implemented to provide extra flexibility. Additionally, cycling ramping cost (cycliramp), introduced to model operational and maintenance costs and reduce the wear and tear of generators, is also included as a penalty. Numerical tests are conducted on 6-bus and 118-bus systems. Results demonstrate the merits of the proposed scheduling model as well as the effects of flexiramp and cycliramp costs in the multi-timescale scheduling. © 2018 Elsevier Ltd |
| format |
Article |
| author |
Mohamed, Shaaban Tan, Wen-Shan Md Pauzi, Abdullah |
| author_facet |
Mohamed, Shaaban Tan, Wen-Shan Md Pauzi, Abdullah |
| author_sort |
Mohamed, Shaaban |
| title |
A multi-timescale hybrid stochastic/deterministic generation scheduling framework with flexiramp and cycliramp costs |
| title_short |
A multi-timescale hybrid stochastic/deterministic generation scheduling framework with flexiramp and cycliramp costs |
| title_full |
A multi-timescale hybrid stochastic/deterministic generation scheduling framework with flexiramp and cycliramp costs |
| title_fullStr |
A multi-timescale hybrid stochastic/deterministic generation scheduling framework with flexiramp and cycliramp costs |
| title_full_unstemmed |
A multi-timescale hybrid stochastic/deterministic generation scheduling framework with flexiramp and cycliramp costs |
| title_sort |
multi-timescale hybrid stochastic/deterministic generation scheduling framework with flexiramp and cycliramp costs |
| publisher |
Elsevier Ltd |
| publishDate |
2018 |
| url |
http://ir.unimas.my/19832/ http://ir.unimas.my/19832/ http://ir.unimas.my/19832/ http://ir.unimas.my/19832/1/A-multi-timescale-hybrid-stochasticdeterministic-generation-scheduling-framework-with-flexiramp-and-cycliramp-costs_2018_International-Journal-of-Electrical-Power-and-Energy-Systems.html |
| first_indexed |
2018-09-06T16:51:47Z |
| last_indexed |
2018-09-06T16:51:47Z |
| _version_ |
1610877719048880128 |