The uncertainty quantification and risk modeling are hot topics in operation and planning of
energy systems. The system operators and planners are decision makers that need to …

This paper presents a novel decentralized bi-level stochastic optimization approach based
on the progressive hedging algorithm for multi-agent systems (MAS) in multi-energy …

This paper presents a novel optimization model for the flexible-reliable operation (FRO) of
energy hubs (EHs) in electricity, natural gas, and district heating networks. To achieve …

Nowadays, the enormous rising demand for hydrogen fuel cell vehicles (HFCVs) and
electric vehicles (EVs) in the transportation sector has a significant contribution in growing of …

A microgrid is considered to be a smart power system that can integrate local renewable
energy effectively. However, the intermittent nature of renewable energy causes operating …

Nowadays, to address the different demands of consumers, ie, electricity, heat and gas, the
concept of energy hub (EH) is emerged. Integrating multiple energy sources under the …

The accumulation of many production units with small capacities and transforming them into
a larger entity will make them visible in electricity market. Renewable based virtual power …

Global consensus on energy economic and environmental issues, as well as increasing
penetration of renewable resources, has created new challenges for researchers to explore …

Wind energy sources have created new challenges in power system scheduling to follow the
network load. Gas fired units with high ramping could better deal with inherent uncertainties …

This paper presents mixed integer linear programming (MILP) formulations to obtain optimal
sizing for a battery energy storage system (BESS) and solar generation system in an …