Peer-to-Peer Multienergy and Communication Resource Trading for Interconnected Microgrids

Abstract

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Peer-to-Peer Energy Trading and Energy Conversion in Interconnected Multi-Energy Microgrids Using Multi-Agent Deep Reinforcement Learning

“…Equations ( 11)-( 13) denote the convert functions of fuel cell and water electrolyser in the residential MGs, where Q F C,t h2 , P F C,t e and Q F C,t h denote hydrogen inflow, electricity outflow and heat outflow of the fuel cell at time t; η F C e and η F C h represent the electricity and heat conversion coefficient of the fuel cell; P W E,t e , Q W E,t h2 and η W E denote electricity inflow, hydrogen outflow and conversion coefficient of the water electrolyser at time t. Equations ( 14)-( 15) refer to the convert functions of the gas boiler with hydrogen or natural gas input, where Q GB,t h2 , Q GB,t ng and Q GB,t h denote hydrogen inflow, natural gas inflow and heat outflow of the gas boiler at time t; η GB h2 and η GB ng represent the hydrogen and natural gas conversion coefficient of the gas boiler. The energy conversion process of heat pump is denoted in (16), where P HP,t e , Q HP,t h and η HP represent electricity inflow, heat outflow and conversion coefficient of the heat pump at time t. The convert functions of CHP are denoted in ( 17)- (18), where Q…”

“…Some of this work [4], [8], [10], [11] considers trading among multiple MGs, while [3], [5]- [7], [9] considers trading between prosumers. In [12]- [16], gametheoretic approaches are used to solve the P2P energy trading in a multi-energy setting. However, only in [16] did the authors model the P2P energy trading among multiple MEMGs.…”

“…In [12]- [16], gametheoretic approaches are used to solve the P2P energy trading in a multi-energy setting. However, only in [16] did the authors model the P2P energy trading among multiple MEMGs. In [6], [17]- [21], auction-theoretic approaches are used to address the P2P trading problems between prosumers in the electricity sector.…”

A Novel Operational Model for Interconnected Microgrids Participation in Transactive Energy Market: A Hybrid IGDT/Stochastic Approach

“…In this work, the possibility of optimal scheduling of the local power supply and demand is considered not only for interconnected microgrids but also each of them is empowered for energy trading with other microgrids in the distribution network. In [13], the authors proposed a peer-topeer transactive multi-resource trading framework with the aim of managing the energy exchanging of the interconnected microgrids. In the proposed framework, each interconnected microgrid can meet its multi-energy demand using the local hybrid biogas-solar-wind renewables while it can proactively exchange its available energy and communication resources with other microgrids aiming to deliver high quality and secured services.…”

Optimal Dispatch of Multi-Energy Integrated Micro-Energy Grid: A Model Predictive Control Method

“…The randomness and volatility of new energy represented by wind and solar energy are strong, and this determines the uncertainty of its power generation. The access of large-scale new energy sources to the power grid will have a huge impact on the power grid and bring severe challenges to the safe and stable operation of the power system (Li et al, 2021;Xu et al, 2021). In this context, the research and construction of a new energy system represented by the micro-energy grid (MEG) provides a new solution for the optimization and utilization of renewable energy.…”