Distributed resource scheduling in smart grid with electric vehicle deployment using fireworks algorithm
Global warming and climate change are two key probing issues in the present context. The electricity sector and transportation sector are two principle entities propelling both these issues. Emissions from these two sectors can be offset by switching to greener ways of transportation through the ele...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2016-01-01
|
| Series: | Journal of Modern Power Systems and Clean Energy |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8946804/ |
| _version_ | 1798001659230552064 |
|---|---|
| author | K. Srikanth Reddy Lokesh Kumar Panwar Rajesh Kumar Bijaya Ketan Panigrahi |
| author_facet | K. Srikanth Reddy Lokesh Kumar Panwar Rajesh Kumar Bijaya Ketan Panigrahi |
| author_sort | K. Srikanth Reddy |
| collection | DOAJ |
| description | Global warming and climate change are two key probing issues in the present context. The electricity sector and transportation sector are two principle entities propelling both these issues. Emissions from these two sectors can be offset by switching to greener ways of transportation through the electric vehicle (EV) and renewable energy technologies (RET). Thus, effective scheduling of both resources holds the key to sustainable practice. This paper presents a scheduling scenario-based approach in the smart grid. Problem formulation with dual objective function including both emissions and cost is developed for conventional unit commitment with EV and RET deployment. In this work, the scheduling and commitment problem is solved using the fireworks algorithm which mimics explosion of fireworks in the sky to define search space and the distance between associated sparks to evaluate global minimum. Further, binary coded fireworks algorithm is developed for the proposed scheduling problem in the smart grid. Thereafter, possible scenarios in conventional as well as smart grid are put forward. Following that, the proposed methodology is simulated using a test system with thermal generators. |
| first_indexed | 2024-04-11T11:39:49Z |
| format | Article |
| id | doaj.art-2aae6b24bcfc4118bc27a7ee97f13506 |
| institution | Directory Open Access Journal |
| issn | 2196-5420 |
| language | English |
| last_indexed | 2024-04-11T11:39:49Z |
| publishDate | 2016-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | Journal of Modern Power Systems and Clean Energy |
| spelling | doaj.art-2aae6b24bcfc4118bc27a7ee97f135062022-12-22T04:25:51ZengIEEEJournal of Modern Power Systems and Clean Energy2196-54202016-01-014218819910.1007/s40565-016-0195-68946804Distributed resource scheduling in smart grid with electric vehicle deployment using fireworks algorithmK. Srikanth Reddy0Lokesh Kumar Panwar1Rajesh Kumar2Bijaya Ketan Panigrahi3IIT Delhi,New Delhi,IndiaMNIT Jaipur,Jaipur,Rajasthan,IndiaMNIT Jaipur,Jaipur,Rajasthan,IndiaIIT Delhi,New Delhi,IndiaGlobal warming and climate change are two key probing issues in the present context. The electricity sector and transportation sector are two principle entities propelling both these issues. Emissions from these two sectors can be offset by switching to greener ways of transportation through the electric vehicle (EV) and renewable energy technologies (RET). Thus, effective scheduling of both resources holds the key to sustainable practice. This paper presents a scheduling scenario-based approach in the smart grid. Problem formulation with dual objective function including both emissions and cost is developed for conventional unit commitment with EV and RET deployment. In this work, the scheduling and commitment problem is solved using the fireworks algorithm which mimics explosion of fireworks in the sky to define search space and the distance between associated sparks to evaluate global minimum. Further, binary coded fireworks algorithm is developed for the proposed scheduling problem in the smart grid. Thereafter, possible scenarios in conventional as well as smart grid are put forward. Following that, the proposed methodology is simulated using a test system with thermal generators.https://ieeexplore.ieee.org/document/8946804/Unit commitment problem (UCP)Binary fireworks algorithm (BFWA)Constrained optimizationRenewable energy technologies (RETs)Plug-in electric vehicle (PEV) |
| spellingShingle | K. Srikanth Reddy Lokesh Kumar Panwar Rajesh Kumar Bijaya Ketan Panigrahi Distributed resource scheduling in smart grid with electric vehicle deployment using fireworks algorithm Journal of Modern Power Systems and Clean Energy Unit commitment problem (UCP) Binary fireworks algorithm (BFWA) Constrained optimization Renewable energy technologies (RETs) Plug-in electric vehicle (PEV) |
| title | Distributed resource scheduling in smart grid with electric vehicle deployment using fireworks algorithm |
| title_full | Distributed resource scheduling in smart grid with electric vehicle deployment using fireworks algorithm |
| title_fullStr | Distributed resource scheduling in smart grid with electric vehicle deployment using fireworks algorithm |
| title_full_unstemmed | Distributed resource scheduling in smart grid with electric vehicle deployment using fireworks algorithm |
| title_short | Distributed resource scheduling in smart grid with electric vehicle deployment using fireworks algorithm |
| title_sort | distributed resource scheduling in smart grid with electric vehicle deployment using fireworks algorithm |
| topic | Unit commitment problem (UCP) Binary fireworks algorithm (BFWA) Constrained optimization Renewable energy technologies (RETs) Plug-in electric vehicle (PEV) |
| url | https://ieeexplore.ieee.org/document/8946804/ |
| work_keys_str_mv | AT ksrikanthreddy distributedresourceschedulinginsmartgridwithelectricvehicledeploymentusingfireworksalgorithm AT lokeshkumarpanwar distributedresourceschedulinginsmartgridwithelectricvehicledeploymentusingfireworksalgorithm AT rajeshkumar distributedresourceschedulinginsmartgridwithelectricvehicledeploymentusingfireworksalgorithm AT bijayaketanpanigrahi distributedresourceschedulinginsmartgridwithelectricvehicledeploymentusingfireworksalgorithm |