A Virtual Power Plant Architecture for the Demand-Side Management of Smart Prosumers
Source abstract
Abstract
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.
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Research context
OpenAlex topics: Smart Grid Energy Management · Microgrid Control and Optimization · Advanced Battery Technologies Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Information Engineering, University of Brescia, Via Branze 38, 25123 Brescia, Italy
Department of Control and Computer Engineering and ICT for City Logistics and Enterprise Lab, Politecnico di Torino, corso Duca degli Abruzzi 24, 10129 Torino, Italy
References (52)
Show source-provided references
1. Towards the next generation of smart grids: Semantic and holonic multi-agent management of distributed energy resources10.1016/j.rser.2017.03.107 ↗
2. A Review of Architectures and Concepts for Intelligence in Future Electric Energy Systems10.1109/TIE.2014.2361486 ↗
3. The intermittency of wind, solar, and renewable electricity generators: Technical barrier or rhetorical excuse?10.1016/j.jup.2008.07.001 ↗
4. A Decentralized Storage Strategy for Residential Feeders with Photovoltaics10.1109/TSG.2013.2281175 ↗
5. Economic and Efficient Voltage Management Using Customer-Owned Energy Storage Systems in a Distribution Network With High Penetration of Photovoltaic Systems10.1109/TPWRS.2012.2196529 ↗
6. Dedé, A., Della Giustina, D., Massa, G., Pasetti, M., and Rinaldi, S. (2016, January 22–24). A smart PV module with integrated electrical storage for smart grid applications. Proceedings of the IEEE International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), Anacapri, Italy.10.1109/SPEEDAM.2016.7525997 ↗
7. Lan, H., Yin, H., Wen, S., Hong, Y.-Y., Yu, D.C., and Zhang, L. (2017). Electrical Energy Forecasting and Optimal Allocation of ESS in a Hybrid Wind-Diesel Power System. Appl. Sci., 7.10.3390/app7020155 ↗
8. Hierarchical management and control based on MAS for distribution grid via intelligent mode switching10.1016/j.ijepes.2013.07.029 ↗
9. Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids10.1016/j.apenergy.2016.10.056 ↗
10. Advanced Control Architectures for Intelligent Microgrids; Part I: Decentralized and Hierarchical Control10.1109/TIE.2012.2194969 ↗
11. Goal-Based Holonic Multiagent System for Operation of Power Distribution Systems10.1109/TSG.2015.2404334 ↗
12. Demand side management in smart grid: A review and proposals for future direction10.1016/j.scs.2013.11.001 ↗
13. A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms10.1109/COMST.2014.2341586 ↗
14. Demand response and smart grids—A survey10.1016/j.rser.2013.10.022 ↗
15. Vahedipour-Dahraie, M., Najafi, H.R., Anvari-Moghaddam, A., and Guerrero, J.M. (2017). Study of the Effect of Time-Based Rate Demand Response Programs on Stochastic Day-Ahead Energy and Reserve Scheduling in Islanded Residential Microgrids. Appl. Sci., 7.10.3390/app7040378 ↗
16. Castello, P., Ferrari, P., Flammini, A., Muscas, C., and Rinaldi, S. (2012, January 26–28). An IEC 61850-Compliant distributed PMU for electrical substations. Proceedings of the IEEE International Workshop on Applied Measurements for Power Systems (AMPS), Aachen, Germany.10.1109/AMPS.2012.6344005 ↗
17. Ferrari, P., Flammini, A., Rinaldi, S., Sisinni, E., and Vezzoli, A. (2013, January 11–13). Toward smart metering application exploiting IPv6 over wM-bus. Proceedings of the IEEE Workshop on Environmental, Energy and Structural Monitoring Systems (EESMS), Trento, Italy.10.1109/EESMS.2013.6661706 ↗
18. Hybrid Communication Network for the Smart Grid: Validation of a Field Test Experience10.1109/TPWRD.2015.2393836 ↗
19. Dimeas, A.L., and Hatziargyriou, N.D. (2007, January 5–8). Agent based control of Virtual Power Plants. Proceedings of the International Conference on Intelligent Systems Applications to Power Systems (ISAP), Niigata, Japan.10.1109/ISAP.2007.4441671 ↗
20. Virtual power plant and system integration of distributed energy resources10.1049/iet-rpg:20060023 ↗
21. A Direct Load Control Model for Virtual Power Plant Management10.1109/TPWRS.2009.2016607 ↗
22. Microgrids, Virtual Power Plants and Our Distributed Energy Future10.1016/j.tej.2010.11.001 ↗
23. Virtual power plant-based distributed control strategy for multiple distributed generators10.1049/iet-cta.2012.0141 ↗
24. Binding, C., Gantenbein, D., Jansen, B., Sundström, O., Andersen, P.B., Marra, F., Poulsen, B., and Træholt, C. (2010, January 25–29). Electric Vehicle Fleet Integration in the Danish EDISON Project—A Virtual Power Plant on the Island of Bornholm. Proceedings of the IEEE Power and Energy Society General Meeting, Providence, RI, USA.10.1109/PES.2010.5589605 ↗
25. The Concept of Demand-Side Management for Electric Utilities10.1109/PROC.1985.13318 ↗
26. Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads10.1109/TII.2011.2158841 ↗
27. Virtual Power Plants10.1007/978-1-4614-9411-9_8 ↗
28. Optimal management of renewable energy sources by virtual power plant10.1016/j.renene.2017.08.010 ↗
29. El Bakari, K., and Kling, W.L. (2010, January 11–13). Virtual Power Plants: An Answer to Increasing Distributed Generation. Proceedings of the Innovative Smart Grid Technologies Conference Europe (ISGT Europe), Gothenberg, Sweden.10.1109/ISGTEUROPE.2010.5638984 ↗
30. A Novel Demand Response Model with an Application for a Virtual Power Plant10.1109/TSG.2014.2339213 ↗
31. Bidding strategy analysis of virtual power plant considering demand response and uncertainty of renewable energy10.1049/iet-gtd.2016.1663 ↗
32. Essakiappan, S., Shoubaki, E., Koerner, M., Rees, J.-F., and Enslin, J. (2017, January 17–20). Dispatchable Virtual Power Plants with Forecasting and Decentralized Control, for High Levels of Distributed Energy Resources Grid Penetration. Proceedings of the 8th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), Florianopolis, Brazil.10.1109/PEDG.2017.7972554 ↗
33. Life cycle cost analysis for BESS optimal sizing10.1016/j.egypro.2017.04.034 ↗
34. Pasetti, M., Iora, P., Chiesa, P., Invernizzi, C., and Salogni, A. (2010, January 23–25). Analysis of incentive systems for photovoltaic power plants in six countries of the European Union. Proceedings of the International Conference on Renewable Energies and Power Quality (ICREPQ), Granada, Spain.10.24084/repqj08.421 ↗
35. Marchi, B., Zanoni, S., and Pasetti, M. (2016, January 13–15). A techno-economic analysis of Li-ion battery energy storage systems in support of PV distributed generation. Proceedings of the 21st Summer School F. Turco of Industrial Systems Engineering, Naples, Italy.
36. Marchi, B., Pasetti, M., Zanoni, S., and Zavanella, L.E. (2017, January 13–15). The Italian reform of electricity tariffs for non household customers: The impact on distributed generation and energy storage. Proceedings of the 22nd Summer School F. Turco of Industrial Systems Engineering, Palermo, Italy.
37. Zhu, Y., Zhuo, F., and Xiong, L. (2012, January 2–5). Communication platform for energy management system in a master-slave control structure microgrid. Proceedings of the 7th International Power Electronics and Motion Control Conference, Harbin, China.
38. Jafary, P., Repo, S., and Koivisto, H. (2014, January 27–31). Secure integration of the Home Energy Management System to the battery management system in the customer domain of the smart grid. Proceedings of the IEEE PES General Meeting Conference Exposition, National Harbor, MD, USA.10.1109/PESGM.2014.6938986 ↗
39. Mohanty, S., Panda, B.N., and Pattnaik, B.S. (2014, January 1–2). Implementation of a Web of Things based Smart Grid to remotely monitor and control Renewable Energy Sources. Proceedings of the IEEE Students’ Conference on Electrical, Electronics and Computer Science (SCEECS), Bhopal, India.10.1109/SCEECS.2014.6804466 ↗
40. Rinaldi, S., Ferrari, P., Flammini, A., Gringoli, F., Loda, M., and Ali, N. (2016, January 23–26). An application of IEEE 802.11ac to Smart Grid automation based on IEC 61850. Proceedings of the 42nd Annual Conference of the IEEE Industrial Electronics Society (IECON), Florence, Italy.10.1109/IECON.2016.7793725 ↗
41. Rinaldi, S., Bonafini, F., Ferrari, P., Flammini, A., Di Cara, D., Panzavecchia, G., and Tinè, G. (2017, January 20–22). NB PLC and Software Defined Networking for Smart Grid Applications. Proceedings of the IEEE International Workshop on Applied Measurements for Power Systems (AMPS), Liverpool, UK.10.1109/AMPS.2017.8078348 ↗
42. Della Giustina, D., Ferrari, P., Flammini, A., and Rinaldi, S. (2013, January 25–27). Experimental characterization of time synchronization over a heterogeneous network for smart grids. Proceedings of the IEEE International Workshop on Applied Measurements for Power Systems (AMPS), Aachen, Germany.10.1109/AMPS.2013.6656239 ↗
43. Time synchronization over heterogeneous network for smart grid application: Design and characterization of a real case10.1016/j.adhoc.2016.04.001 ↗
44. Rinaldi, S., Pasetti, M., Ferrari, P., Massa, G., and Della Giustina, D. (2016, January 28–30). Experimental characterization of communication infrastructure for virtual power plant monitoring. Proceedings of the IEEE International Workshop on Applied Measurements for Power Systems (AMPS), Aachen, Germany.10.1109/AMPS.2016.7602860 ↗
45. A mixed integer linear programming model for the energy management problem of microgrids10.1016/j.epsr.2014.12.019 ↗
46. An MILP (mixed integer linear programming) model for optimal design of district-scale distributed energy resource systems10.1016/j.energy.2015.07.013 ↗
47. (2018, February 26). International Business Machines Corporation IBM ILOG CPLEX Optimization Studio. Available online: https://www.ibm.com/products/ilog-cplex-optimization-studio.
48. Gurobi Optimization, I. (2018, February 26). Gurobi Optimizer. Available online: http://www.gurobi.com.
49. A stochastic programming approach for the traveling purchaser problem
50. The Traveling Purchaser Problem and its variants10.1016/j.ejor.2016.12.017 ↗
51. The multi-vehicle traveling purchaser problem with pairwise incompatibility constraints and unitary demands: A branch-and-price approach10.1016/j.ejor.2015.06.073 ↗
52. International Electrotechnical Commission (IEC) (1998). Photovoltaic System Performance Monitoring—Guidelines for Measurement, Data Exchange and Analysis, IEC. IEC 61724:1998-04.