Stochastic scheduling of battery energy storage system for large-scale wind power penetration
High penetrations of wind generation have intermittency and volatility issues in deregulated power system. With increasing penetration of wind power, independent system operator (ISO) faces an enormous challenge in secure operation with intermittency and uncertainty of renewable energy resources. To...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-06-01
|
| Series: | The Journal of Engineering |
| Subjects: | |
| Online Access: | https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9350 |
| _version_ | 1818418070707765248 |
|---|---|
| author | Pranda Prasanta Gupta Prerna Jain Suman Sharma Kailash Chand Sharma Rohit Bhakar |
| author_facet | Pranda Prasanta Gupta Prerna Jain Suman Sharma Kailash Chand Sharma Rohit Bhakar |
| author_sort | Pranda Prasanta Gupta |
| collection | DOAJ |
| description | High penetrations of wind generation have intermittency and volatility issues in deregulated power system. With increasing penetration of wind power, independent system operator (ISO) faces an enormous challenge in secure operation with intermittency and uncertainty of renewable energy resources. To handle these issues, battery energy storage system (BESS) is a probable solution for enhancing the wind penetration in the electric grid. In this regard, this article proposes a stochastic security constrained unit commitment (SCUC) with BESS considering wind uncertainty. The proposed approach is formulated and solved by Benders decomposition (BD) method which reduces computational time. The goal is to detect the optimal amount of SCUC, locational marginal price (LMP), wind curtailment, and line contingency by performing DC optimal power flow (DCOPF). Numerical case studies are investigated in detail using IEEE Reliability test system (RTS) 24-bus network and simulation results are found to be inspiring. |
| first_indexed | 2024-12-14T12:16:50Z |
| format | Article |
| id | doaj.art-f4e76090fdab46b68705a5a22e1031f2 |
| institution | Directory Open Access Journal |
| issn | 2051-3305 |
| language | English |
| last_indexed | 2024-12-14T12:16:50Z |
| publishDate | 2019-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Journal of Engineering |
| spelling | doaj.art-f4e76090fdab46b68705a5a22e1031f22022-12-21T23:01:37ZengWileyThe Journal of Engineering2051-33052019-06-0110.1049/joe.2018.9350JOE.2018.9350Stochastic scheduling of battery energy storage system for large-scale wind power penetrationPranda Prasanta Gupta0Prerna Jain1Suman Sharma2Kailash Chand Sharma3Rohit Bhakar4Malaviya National Institute of TechnologyMalaviya National Institute of TechnologyMalaviya National Institute of TechnologyMalaviya National Institute of TechnologyMalaviya National Institute of TechnologyHigh penetrations of wind generation have intermittency and volatility issues in deregulated power system. With increasing penetration of wind power, independent system operator (ISO) faces an enormous challenge in secure operation with intermittency and uncertainty of renewable energy resources. To handle these issues, battery energy storage system (BESS) is a probable solution for enhancing the wind penetration in the electric grid. In this regard, this article proposes a stochastic security constrained unit commitment (SCUC) with BESS considering wind uncertainty. The proposed approach is formulated and solved by Benders decomposition (BD) method which reduces computational time. The goal is to detect the optimal amount of SCUC, locational marginal price (LMP), wind curtailment, and line contingency by performing DC optimal power flow (DCOPF). Numerical case studies are investigated in detail using IEEE Reliability test system (RTS) 24-bus network and simulation results are found to be inspiring.https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9350pricingpower generation economicspower system securitywind power plantsprobabilitypower generation schedulingload flowpower generation dispatchpower marketsbattery storage plantsstochastic processespower gridswind uncertaintywind curtailmentdc optimal power flowstochastic schedulingbattery energy storage systemlarge-scale wind power penetrationwind generationderegulated power systemindependent system operatorrenewable energy resourcesbesswind penetrationstochastic security constrained unit commitmentelectric gridscucbenders decomposition methodbd methodlocational marginal pricelmpline contingencydcopfieee reliability test system 24-bus network |
| spellingShingle | Pranda Prasanta Gupta Prerna Jain Suman Sharma Kailash Chand Sharma Rohit Bhakar Stochastic scheduling of battery energy storage system for large-scale wind power penetration The Journal of Engineering pricing power generation economics power system security wind power plants probability power generation scheduling load flow power generation dispatch power markets battery storage plants stochastic processes power grids wind uncertainty wind curtailment dc optimal power flow stochastic scheduling battery energy storage system large-scale wind power penetration wind generation deregulated power system independent system operator renewable energy resources bess wind penetration stochastic security constrained unit commitment electric grid scuc benders decomposition method bd method locational marginal price lmp line contingency dcopf ieee reliability test system 24-bus network |
| title | Stochastic scheduling of battery energy storage system for large-scale wind power penetration |
| title_full | Stochastic scheduling of battery energy storage system for large-scale wind power penetration |
| title_fullStr | Stochastic scheduling of battery energy storage system for large-scale wind power penetration |
| title_full_unstemmed | Stochastic scheduling of battery energy storage system for large-scale wind power penetration |
| title_short | Stochastic scheduling of battery energy storage system for large-scale wind power penetration |
| title_sort | stochastic scheduling of battery energy storage system for large scale wind power penetration |
| topic | pricing power generation economics power system security wind power plants probability power generation scheduling load flow power generation dispatch power markets battery storage plants stochastic processes power grids wind uncertainty wind curtailment dc optimal power flow stochastic scheduling battery energy storage system large-scale wind power penetration wind generation deregulated power system independent system operator renewable energy resources bess wind penetration stochastic security constrained unit commitment electric grid scuc benders decomposition method bd method locational marginal price lmp line contingency dcopf ieee reliability test system 24-bus network |
| url | https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9350 |
| work_keys_str_mv | AT prandaprasantagupta stochasticschedulingofbatteryenergystoragesystemforlargescalewindpowerpenetration AT prernajain stochasticschedulingofbatteryenergystoragesystemforlargescalewindpowerpenetration AT sumansharma stochasticschedulingofbatteryenergystoragesystemforlargescalewindpowerpenetration AT kailashchandsharma stochasticschedulingofbatteryenergystoragesystemforlargescalewindpowerpenetration AT rohitbhakar stochasticschedulingofbatteryenergystoragesystemforlargescalewindpowerpenetration |