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

多载波能源系统由于其灵活性和可持续性而受到广泛关注。尽管这些系统在提供和消耗能量方面显示出显着的效率，但是由于不同来源带来的不确定性，整个系统的性能可能会降低。本文提出了一种随机分散模型，用于考虑使用多主体框架的系统的不确定性，其中包括不同类型的热电私人负荷。换句话说，代理人拥有私有财产并寻求社会福利以及最优化的个人利益。在提出的模型中，使用梯度投影法来实现完全分散的能源交易模型。此外，各种随机情况下的太阳辐照度，价格，使用快进选择算法考虑荷载和载荷时要考虑不确定性。然后，为了评估提出的随机多主体模型，使用“ AnyLogic”进行了仿真研究。数值结果表明，在没有任何监督控制的情况下，结算价格直接受可再生代理的影响。而且，考虑到这些不确定性，与确定性相比，考虑的多载波能量系统的总运营成本降低了约7％。但是，由于私人合作中的内在收益行为，社会福利下降。数值结果表明，在没有任何监督控制的情况下，结算价格直接受可再生代理的影响。而且，考虑到这些不确定性，与确定性相比，考虑的多载波能量系统的总运营成本降低了约7％。但是，由于私人合作中的内在收益行为，社会福利下降。数值结果表明，在没有任何监督控制的情况下，结算价格直接受可再生代理的影响。而且，考虑到这些不确定性，与确定性相比，考虑的多载波能量系统的总运营成本降低了约7％。但是，由于私人合作中的内在收益行为，社会福利下降。