A New Design for the Peer-to-Peer Electricity and Gas Markets Based on Robust Probabilistic Programming

This paper presents a fully-decentralized peer-to-peer (P2P) electricity and gas market for retailers prosumers with coupled energy units, considering the uncertainties of wholesale price prosumers’ demand. The goal is to improve overall economy proposed while increasing its flexibility. In this market, are equipped self-generation storage units can bilaterally negotiate transactions maximize their profit. Furthermore, they sell power upstream in addition prosumers. have access several supply required freely provide needs from every retailer, contributing dynamicity market. Given that an hub consisting boiler combined heat (CHP) electric pumps, switch source vice versa. A robust possibilistic programming approach applied address uncertainties. called alternating direction method multipliers (ADMM) utilized solve presented decentralized problem. algorithm finds optimum solution by establishing smart balance between average expected value, optimality robustness, feasibility robustness. competitiveness evaluated through numerical studies on distribution system two three data analysis simulation results verifies effectiveness framework as well solution. According maximum deviation, optimal value case, retailer’s profit has decreased 12.1 percent, cost increased 27.4 percent due penalty term.