An IoT Architecture for a Virtual Power Plant Aggregator<\/p>\n\n\n\n
The transition towards an electricity system with a growing\npresence of non-programmable Renewable Energy Sources (RESs) systems requires\nnot only the implementation of modern control systems and equipment, able to\nmanage bidirectional power flows according to the Smart Grid paradigm, but also\nthe adoption of novel distribution electrical system structures and\/or new\nframeworks for the energy management and the electricity market scenarios,\nwhere resources considered up to now unable to provide ancillary services may\nparticipate as new flexible Distributed Energy Resources (DERs) that the power\nsystem requires, including non-programmable renewable sources, and demand.<\/p>\n\n\n\n
A Smart Grid integrates the actions of all actors connected\nto it, such as generators, suppliers, aggregators, consumers, in order to\nefficiently deliver sustainable, economic and secure electricity supplies. It\nuses information and communication technology on top of the electric network to\nimprove the reliability, security, and efficiency (both economic and energy) of\nthe electric system. To achieve this, it is also required the deployment of\nsensors and smart metering for collecting data across the grid from DERs and\nstorage systems at any point of the network, especially integration at the\nconsumer\/prosumer level.<\/p>\n\n\n\n
Thus, it creates the opportunity for any consumer\/prosumer\non the grid to become an energy\/power\nsupplier and take part in energy trading mechanism. This is the key for\nconsumers to be converted into \u201cactive energy citizens\u201d. An essential role is\nplayed by Demand Response which denotes variations of the electric consumption\nby users in response to the energy price changes over the time, or in the\npresence of financial incentives and reliability signals.<\/p>\n\n\n\n
In this complex environment, the centralized approach used in traditional power systems is no longer possible because both prosumers and active users would like to take part in energy transactions, and a decentralized approach based on transactive energy systems (TESs) and Peer-to-Peer (P2P) energy transactions should be adopted. In this context, the Distributed Ledger Technology (DLT), based on the blockchain concept arises as the most promising solution to enable smart contracts between prosumers and active users, which are safely guarded in blocks with cryptographic hashes.<\/p>\n\n\n\n
Blockchain, distributed ledger technology, demand response, smart grid, microgrid, peer-to-peer transactions, smart contracts, transactive energy, local energy market, prosumer, aggregator, battery <\/p>\n\n\n\n
Pierluigi Siano (M\u201909\u2013SM’14) received the M.Sc. degree in electronic engineering and the Ph.D. degree in information and electrical engineering from the University of Salerno, Salerno, Italy, in 2001 and 2006, respectively. He is a Professor and Scientific Director of the Smart Grids and Smart Cities Laboratory with the Department of Management & Innovation Systems, University of Salerno. His research activities are centered on demand response, on the integration of distributed energy resources in smart grids and on planning and management of power systems. He has co-authored more than 450 papers including more than 250 international journal papers that received more than 8400 citations with an H-index equal to 46. He received the award as 2019 Highly cited Researcher by ISI Web of Science Group. He has been the Chair of the IES TC on Smart Grids. He is Editor for the Power & Energy Society Section of IEEE Access,\u00a0 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, Open Journal of the IEEE IES and of IET Renewable Power Generation.<\/p>\n","protected":false},"excerpt":{"rendered":"
Keynote speaker: Pierluigi Siano, University of Salerno Talk Title An IoT Architecture for a Virtual Power Plant Aggregator Summary The transition towards an electricity system with a growing presence of non-programmable Renewable Energy Sources (RESs) systems requires not only the implementation of modern control systems and equipment, able to manage bidirectional power flows according to…
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