Co-optimization of resilient gas and electricity networks; a novel possibilistic chance-constrained programming approach

Gas-fired power plants are commonly employed to deal with the intermittency of renewable energy resources due their flexible characteristics. Therefore, in system transmits gas through gas-fired plants, which makes operation these systems even more interdependent. This study proposes a novel possibilistic model for integrated and presence electric vehicles demand response. The takes into account uncertainty prediction output wind farms, is based on possibility necessity theories fuzzy logic modeling uncertain parameters by Gaussian membership function. Moreover, contingency analysis algorithm maximin optimization developed enhance resiliency finding worst-case scenario outage components. proposed implemented Belgium network IEEE 24-bus electricity network. It demonstrated that allows respond variations providing sufficient level linepack within pipelines. As result, supposed commit efficiently cope reduce curtailment 26%. Furthermore, it quantified applying response electrical vehicles, costs load shedding reduced up 17% 83%, respectively.