Multistage Scheduling of VPP Under Distributed Locational Marginal Prices and LCOE Evaluation
This article delves into the security-constrained scheduling of a Virtual Power Plant (VPP) through a two-stage methodology. In the proposed framework, a decentralized locational marginal pricing (DLMP) based primary pricing mechanism is applied to realize the pricing in first stage. An exclusive Mi...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10639417/ |
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| author | Furquan Nadeem Arup Kumar Goswami Prashant Kumar Tiwari Mukesh Pushkarna Din Bandhu Mohannad Alhazmi |
| author_facet | Furquan Nadeem Arup Kumar Goswami Prashant Kumar Tiwari Mukesh Pushkarna Din Bandhu Mohannad Alhazmi |
| author_sort | Furquan Nadeem |
| collection | DOAJ |
| description | This article delves into the security-constrained scheduling of a Virtual Power Plant (VPP) through a two-stage methodology. In the proposed framework, a decentralized locational marginal pricing (DLMP) based primary pricing mechanism is applied to realize the pricing in first stage. An exclusive Mixed Integer Linear Programming (MILP) framework is crafted for the VPP’s scheduling to enhance the utilization of Distributed Energy Resources (DERs) and controllable loads in both the Day Ahead Market (DAM) and Real-Time Market (RTM). The primary objective is maximizing joint profit for the VPP and the DERs, while the economic assessment hinges on Levelized Cost of Energy (LCOE) for financial evaluation of the proposed scheme. The model’s practicality is verified using the GAMS environment, and its efficiency is gauged through LCOE benchmarking. Furthermore, this paper unveils a communication framework for the VPP, grounded in IEC 61850-8-2 protocol. This framework exemplifies the exchange of XMPP stanzas among distinct clients during the strategy’s implementation. |
| format | Article |
| id | doaj-art-37d9072d748844e18ef593f382aa98a8 |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-37d9072d748844e18ef593f382aa98a82025-08-20T01:54:57ZengIEEEIEEE Access2169-35362024-01-011213223613225310.1109/ACCESS.2024.344603510639417Multistage Scheduling of VPP Under Distributed Locational Marginal Prices and LCOE EvaluationFurquan Nadeem0https://orcid.org/0000-0001-8109-6857Arup Kumar Goswami1https://orcid.org/0000-0003-1220-0125Prashant Kumar Tiwari2Mukesh Pushkarna3https://orcid.org/0000-0003-0690-1830Din Bandhu4https://orcid.org/0000-0001-9163-353XMohannad Alhazmi5https://orcid.org/0000-0002-3031-4380Department of Electrical Engineering, National Institute of Technology Silchar (NITS), Silchar, Assam, IndiaDepartment of Electrical Engineering, National Institute of Technology Silchar (NITS), Silchar, Assam, IndiaDepartment of Electrical Engineering, Motilal Nehru National Institute of Technology Allahabad (MNNIT), Allahabad, IndiaDepartment of Electrical Engineering, GLA University Mathura, Mathura, IndiaDepartment of Mechanical and Industrial Engineering, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, IndiaElectrical Engineering Department, College of Applied Engineering, King Saud University, Riyadh, Saudi ArabiaThis article delves into the security-constrained scheduling of a Virtual Power Plant (VPP) through a two-stage methodology. In the proposed framework, a decentralized locational marginal pricing (DLMP) based primary pricing mechanism is applied to realize the pricing in first stage. An exclusive Mixed Integer Linear Programming (MILP) framework is crafted for the VPP’s scheduling to enhance the utilization of Distributed Energy Resources (DERs) and controllable loads in both the Day Ahead Market (DAM) and Real-Time Market (RTM). The primary objective is maximizing joint profit for the VPP and the DERs, while the economic assessment hinges on Levelized Cost of Energy (LCOE) for financial evaluation of the proposed scheme. The model’s practicality is verified using the GAMS environment, and its efficiency is gauged through LCOE benchmarking. Furthermore, this paper unveils a communication framework for the VPP, grounded in IEC 61850-8-2 protocol. This framework exemplifies the exchange of XMPP stanzas among distinct clients during the strategy’s implementation.https://ieeexplore.ieee.org/document/10639417/VPP schedulingDLMPlevelized cost of energy (LCOE)IEC 61850-8-2 wrapping on XMPP |
| spellingShingle | Furquan Nadeem Arup Kumar Goswami Prashant Kumar Tiwari Mukesh Pushkarna Din Bandhu Mohannad Alhazmi Multistage Scheduling of VPP Under Distributed Locational Marginal Prices and LCOE Evaluation IEEE Access VPP scheduling DLMP levelized cost of energy (LCOE) IEC 61850-8-2 wrapping on XMPP |
| title | Multistage Scheduling of VPP Under Distributed Locational Marginal Prices and LCOE Evaluation |
| title_full | Multistage Scheduling of VPP Under Distributed Locational Marginal Prices and LCOE Evaluation |
| title_fullStr | Multistage Scheduling of VPP Under Distributed Locational Marginal Prices and LCOE Evaluation |
| title_full_unstemmed | Multistage Scheduling of VPP Under Distributed Locational Marginal Prices and LCOE Evaluation |
| title_short | Multistage Scheduling of VPP Under Distributed Locational Marginal Prices and LCOE Evaluation |
| title_sort | multistage scheduling of vpp under distributed locational marginal prices and lcoe evaluation |
| topic | VPP scheduling DLMP levelized cost of energy (LCOE) IEC 61850-8-2 wrapping on XMPP |
| url | https://ieeexplore.ieee.org/document/10639417/ |
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