Economic and Flexible Operation of Industrial Energy Hubs via Risk-Constrained P۲P Energy Trading

The peer-to-peer (P۲P) model has emerged as an innovative energy trading approach that is drawing increasing interest in local electricity markets. This model offers a viable solution for improving the adaptability and dependability of energy hubs, especially for industrial prosumers facing elevated energy expenses. In this study, a Norwegian industrial facility featuring multiple energy hubs (MEHs) is examined. These hubs integrate a variety of energy technologies, including wind turbines (WT), photovoltaic (PV) panels, combined heat and power (CHP) systems (both convex and non-convex), plug-in electric vehicles (EVs), and the capability to shift energy loads. The primary aim is to assess how P۲P energy trading, in combination with available on-site flexibility options, can benefit such an industrial environment. Given the significant costs associated with peak electricity consumption from the grid, this research investigates the role of P۲P trading under various uncertainties. These include fluctuations in electricity prices, variations in heat and power demand, and the intermittent nature of renewable energy sources like WT and PV. To address these challenges, the study employs a stochastic optimization method known as the downside risk constraint (DRC), which is used to evaluate risk in both risk-averse and risk-neutral scenarios. Findings indicate that utilizing the DRC method in a risk-averse setting raises operational costs by ۳۵% to maintain a zero-risk threshold. Nevertheless, this cautious strategy helps safeguard the system against potential financial setbacks, even though it leads to higher expenses.

کلیدواژه ها:

peer-to-peer energy transaction ، distributed energy resources ، downside risk constraint ، risk-averse ، risk-neutral