A Virtual Power Plant Architecture for the Demand-Side Management of Smart Prosumers
In this paper, we present a conceptual study on a Virtual Power Plant (VPP) architecture for the optimal management of Distributed Energy Resources (DERs) owned by prosumers participating in Demand-Side Management (DSM) programs. Compared to classical VPP architectures, which aim to aggregate severa...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-03-01
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| Series: | Applied Sciences |
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| Online Access: | http://www.mdpi.com/2076-3417/8/3/432 |
| _version_ | 1819059302976978944 |
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| author | Marco Pasetti Stefano Rinaldi Daniele Manerba |
| author_facet | Marco Pasetti Stefano Rinaldi Daniele Manerba |
| author_sort | Marco Pasetti |
| collection | DOAJ |
| description | In this paper, we present a conceptual study on a Virtual Power Plant (VPP) architecture for the optimal management of Distributed Energy Resources (DERs) owned by prosumers participating in Demand-Side Management (DSM) programs. Compared to classical VPP architectures, which aim to aggregate several DERs dispersed throughout the electrical grid, in the proposed VPP architecture the supervised physical domain is limited to single users, i.e., to single Points of Delivery (PODs) of the distribution network. The VPP architecture is based on a service-oriented approach, where multiple agents cooperate to implement the optimal management of the prosumer’s assets, by also considering different forms of Demand Response (DR) requests. The considered DR schemes range from Price-Based DRs to Event-Based DRs, covering both the normal operating functions and the emergency control requests applied in modern distribution networks. With respect to centralized approaches, in this study the control perspective is moved from the system level to the single prosumer’s level, who is allowed to independently provide flexible power profiles through the aggregation of multiple DERs. A generalized optimization model, formulated as a Mixed-Integer Linear Programming (MILP) problem, is also introduced. Such a model is able to compute the optimal scheduling of a prosumer’s assets by considering both DR requests and end-users’ requirements in terms of comfort levels while minimizing the costs. |
| first_indexed | 2024-12-21T14:08:57Z |
| format | Article |
| id | doaj.art-046c5b0d2f9148d083dd606c4205ad4e |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-21T14:08:57Z |
| publishDate | 2018-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-046c5b0d2f9148d083dd606c4205ad4e2022-12-21T19:01:06ZengMDPI AGApplied Sciences2076-34172018-03-018343210.3390/app8030432app8030432A Virtual Power Plant Architecture for the Demand-Side Management of Smart ProsumersMarco Pasetti0Stefano Rinaldi1Daniele Manerba2Department of Information Engineering, University of Brescia, Via Branze 38, 25123 Brescia, ItalyDepartment of Information Engineering, University of Brescia, Via Branze 38, 25123 Brescia, ItalyDepartment of Control and Computer Engineering and ICT for City Logistics and Enterprise Lab, Politecnico di Torino, corso Duca degli Abruzzi 24, 10129 Torino, ItalyIn this paper, we present a conceptual study on a Virtual Power Plant (VPP) architecture for the optimal management of Distributed Energy Resources (DERs) owned by prosumers participating in Demand-Side Management (DSM) programs. Compared to classical VPP architectures, which aim to aggregate several DERs dispersed throughout the electrical grid, in the proposed VPP architecture the supervised physical domain is limited to single users, i.e., to single Points of Delivery (PODs) of the distribution network. The VPP architecture is based on a service-oriented approach, where multiple agents cooperate to implement the optimal management of the prosumer’s assets, by also considering different forms of Demand Response (DR) requests. The considered DR schemes range from Price-Based DRs to Event-Based DRs, covering both the normal operating functions and the emergency control requests applied in modern distribution networks. With respect to centralized approaches, in this study the control perspective is moved from the system level to the single prosumer’s level, who is allowed to independently provide flexible power profiles through the aggregation of multiple DERs. A generalized optimization model, formulated as a Mixed-Integer Linear Programming (MILP) problem, is also introduced. Such a model is able to compute the optimal scheduling of a prosumer’s assets by considering both DR requests and end-users’ requirements in terms of comfort levels while minimizing the costs.http://www.mdpi.com/2076-3417/8/3/432virtual power plantdemand-side managementenergy management systemdemand responsesmart gridurban energy systemdistributed energy resourcesmulti-agent system |
| spellingShingle | Marco Pasetti Stefano Rinaldi Daniele Manerba A Virtual Power Plant Architecture for the Demand-Side Management of Smart Prosumers Applied Sciences virtual power plant demand-side management energy management system demand response smart grid urban energy system distributed energy resources multi-agent system |
| title | A Virtual Power Plant Architecture for the Demand-Side Management of Smart Prosumers |
| title_full | A Virtual Power Plant Architecture for the Demand-Side Management of Smart Prosumers |
| title_fullStr | A Virtual Power Plant Architecture for the Demand-Side Management of Smart Prosumers |
| title_full_unstemmed | A Virtual Power Plant Architecture for the Demand-Side Management of Smart Prosumers |
| title_short | A Virtual Power Plant Architecture for the Demand-Side Management of Smart Prosumers |
| title_sort | virtual power plant architecture for the demand side management of smart prosumers |
| topic | virtual power plant demand-side management energy management system demand response smart grid urban energy system distributed energy resources multi-agent system |
| url | http://www.mdpi.com/2076-3417/8/3/432 |
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