Over the last few years, there has been extensive growth in small-scale distributed energy resources (DER), which encompass behind-the-meter generation, energy storage, inverters, electric vehicles, and controllable loads at the household level. These small-scale resources can be utilized not only to manage the energy demand more efficiently but also to enable a significant mix of clean energy into the grid. However, to do so, it is important for the owners of these assets to actively participate in the energy market. As a consequence, peer-to-peer trading has emerged as a next-generation energy management technique for the smart grid that can enable the owners of small scale DERs – also known as prosumers – to actively participate in the energy market. With the prosumers in control of setting the terms of transactions and the delivery of goods and services, it is expected that the gain that the prosumers can reap from participating in peer-to-peer trading would be substantial. At the same time, the grid \u2014 consisting of generators, retailers, and distribution network system providers \u2014 can also obtain a significant benefit in terms of reducing peak demand, lowering investment and operational costs, minimizing reserve requirements, and improving power system reliability.\u00a0As a result, a large number of studies have been reported on peer-to-peer trading in electricity networks over the past few years. These studies have focussed on a number of important decision-making problems of participants in the virtual layer as well as investigated the impacts of peer-to-peer energy trading on the physical distribution network. A large number of pilot projects have also been established in the USA, Europe, and Australia. However, interestingly, there has been no indication of the implementation of peer-to-peer trading in the actual energy market in any country. The purpose of this special section is to address this gap by publishing findings from innovative research that have the potential to establish peer-to-peer sharing in today\u2019s electricity market as an energy trading mechanism. The published articles will demonstrate a set of new research outcomes that can successfully decide on energy trading parameters that are beneficial not only for the prosumers but also for other stakeholders within the market. At the same time, transacted energy by prosumers over the physical layer will not detrimentally impact the physical power system network in terms of violating any constraints and increasing the loss significantly.
\nThe targeted audience includes both academic researchers and industrial practitioners. The purpose of the special issue is to provide a platform to enhance interdisciplinary research and share the most recent ideas in the above-related fields. In particular, the published article would cover, but not limited to, the following topics of energy system via designing new peer-to-peer energy trading mechanisms: Electricity market regulation; Sharing of energy storage; Providing demand flexibility to the grid; Trading of renewable energy in microgrid; Designing prosumer engagement plans; Modelling flexibility of distributed energy resources; Providing voltage and frequency regulation service; Pricing model; Minimizing of network loss.<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"template":"","format":"standard","topic":[192,430,576,597,294,554,449,542,282,453,571,528,465,559,467,470,545,563,572,480,481,604,485,491,496,565,240],"country":[331],"nsj_language":[57],"class_list":["post-1199","call_for_papers","type-call_for_papers","status-publish","format-standard","hentry","topic-artificial-intelligence","topic-big-data","topic-data-management","topic-data-sensing-and-analysis","topic-ecology","topic-electrical-engineering","topic-energy-efficiency","topic-energy-production","topic-environmental-sciences","topic-environmental-sustainability","topic-environmental-technologies","topic-human-computer-interface","topic-ict","topic-industrial-engineering","topic-industry-4-0","topic-internet-of-things","topic-machine-learning","topic-modeling","topic-monitoring","topic-process-innovation","topic-process-management","topic-process-modeling-and-simulation","topic-project-tools","topic-renewable-energy","topic-sdgs-2030","topic-smart-grids","topic-sustainable-energy","country-united-kingdom","nsj_language-english"],"acf":[],"yoast_head":"\n