Peak demand shaving and load-levelling using a combination of bin packing and subset sum algorithms for electrical energy storage system scheduling
An algorithm that uses demand profile information and a minimal set of energy storage system (ESS) parameters is formulated in this study for obtaining ESS operation schedules to achieve peak demand shaving and load-levelling. The algorithm is developed by formulating an electricity demand profile a...
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| Published in | IET science, measurement & technology Vol. 10; no. 5; pp. 477 - 484 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
The Institution of Engineering and Technology
01.08.2016
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1751-8822 1751-8830 |
| DOI | 10.1049/iet-smt.2015.0218 |
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| Abstract | An algorithm that uses demand profile information and a minimal set of energy storage system (ESS) parameters is formulated in this study for obtaining ESS operation schedules to achieve peak demand shaving and load-levelling. The algorithm is developed by formulating an electricity demand profile and ESS as a combination of the one-dimensional bin packing problem and the subset sum problem using sets of mathematical equations. The electrical system undergoes specific transformations in the charging and discharging phases of the ESS and heuristic algorithms for solving these problems are applied to obtain a viable operation schedule to meet these objectives. A comparative analysis with another algorithm is presented for verification. Results for a case study are also presented alongside a discussion to show a practical application of the algorithm. |
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| AbstractList | An algorithm that uses demand profile information and a minimal set of energy storage system (ESS) parameters is formulated in this study for obtaining ESS operation schedules to achieve peak demand shaving and load‐levelling. The algorithm is developed by formulating an electricity demand profile and ESS as a combination of the one‐dimensional bin packing problem and the subset sum problem using sets of mathematical equations. The electrical system undergoes specific transformations in the charging and discharging phases of the ESS and heuristic algorithms for solving these problems are applied to obtain a viable operation schedule to meet these objectives. A comparative analysis with another algorithm is presented for verification. Results for a case study are also presented alongside a discussion to show a practical application of the algorithm. |
| Author | Agamah, Simon U Ekonomou, Lambros |
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| Cites_doi | 10.1049/cp.2013.1210 10.1109/TPWRS.2012.2230277 10.1109/TPWRS.2013.2279263 10.1145/2318716.2318723 10.1016/j.energy.2010.08.007 10.1109/TPWRS.2012.2187315 10.1109/TEC.2005.853746 10.1016/j.enconman.2012.07.018 10.1002/9781119005216 |
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| Keywords | one-dimensional bin packing problem heuristic algorithms electrical energy storage system scheduling discharging phase electricity discharges (electric) set theory subset sum algorithms electricity demand profile bin packing load-levelling charging phase energy storage viable operation schedule mathematical equations peak demand shaving |
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| SubjectTerms | Algorithms bin packing charging phase discharges (electric) discharging phase electrical energy storage system scheduling electricity electricity demand profile Energy storage heuristic algorithms load‐levelling Mathematical analysis mathematical equations one‐dimensional bin packing problem peak demand shaving Peak load Phases Regular Papers Schedules set theory Shaving subset sum algorithms Transformations (mathematics) viable operation schedule |
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| Title | Peak demand shaving and load-levelling using a combination of bin packing and subset sum algorithms for electrical energy storage system scheduling |
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