A stochastic decentralized model for the privately interactive operation of a multi-carrier energy system

Multi-carrier energy systems have received wide attentions due their flexibility and sustainable characteristics. Although these show significant efficiency in providing consuming energy, the performance of whole system can be degraded owing to uncertainties arising from different sources. This paper presents a stochastic decentralized model for considering including types thermal electrical private loads using multi-agent framework. In other words, agents ownership seek social welfare as well optimized personal profits. proposed model, gradient projection method is used implement fully-decentralize trading model. Also, various scenarios solar irradiance, prices, are considered fast-forward selection algorithm take into account uncertainties. Then, assess “AnyLogic” conducting simulation studies. The numerical results that clearing price directly affected by renewable agent without any supervisory control. Moreover, total operating cost multi-carrier decreases ?7 % compared with deterministic one. However, declines intrinsically beneficial behavior cooperation.