Integration of P2G and Renewables in Stochastic Day-ahead Electricity-Gas Scheduling

Increasing the capacity of renewable resources, usually concentrated in prone areas, and the lack of sufficient network capacity can lead to wasting clean energy. Grid reinforcement is costly and time-consuming; hence, short-term solutions are expected. Although the power-to-gas (P2G) technology comes into the industrial phase, its application is limited due to the loss in the conversion process. This paper evaluates the role of integrated wind farms and P2G technology in covering this issue, in which P2Gs use the suppressed amount of cheap and clean energy to supply gas-fired generators. So, the proposed approach can improve the performance of both the renewables and P2G technology. The proposed model is described as a stochastic unit commitment problem for scheduling the electricity and gas in the day-ahead market, while P2G equipment helps to compensate for the variation associated with wind generation. The model is implemented on a modified IEEE RTS-24 bus test system, and the result shows the positive impact of P2Gs in improving the operational costs and as a suitable integration option for wind farms.