Rolling horizon optimization for real-time operation of prosumers with Peer-to-Peer energy trading

Peer-to-Peer energy trading is recognized as a promising approach for prosumers to improve the operational economics. However, the uncertainty of renewable energy poses challenges to the reliable and economical operations of prosumers. This paper focuses on the real-time operation of prosumers. An efficient rolling horizon optimization-based real-time operation strategy for prosumers is proposed to minimize the total operational cost in one-day, in which the thermal comfort demand of the prosumers is also considered. The case study is finally conducted for 94 prosumers located at an urban community microgrid in a typical summer day scenario. Simulation results show that the proposed rolling horizon operation strategy can make full use of the flexible energy resources of prosumers, realizing the local energy supply-demand balance while improving prosumers' operational economics. Moreover, the negative impact of day-ahead forecasting errors on the intra-day operation can be reduced significantly. (c) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Automated summary

This paper proposes an efficient rolling horizon optimization-based real-time operation strategy for prosumers to minimize the total operational cost in one day, considering the thermal comfort demand. Through a case study of 94 prosumers in an urban community microgrid on a typical summer day, the simulation results show that the proposed strategy can effectively utilize the flexible energy resources of prosumers, achieve local energy supply-demand balance, improve operational economics, and reduce the negative impact of day-ahead forecasting errors on intra-day operation.