Mohsen Saniei

TL;DR: In this article, the authors present an innovative method for modeling energy hubs based on energy flow between its constituent elements, and an appropriate mixed integer nonlinear programming model is presented for short term 24-hour scheduling an energy hub, in which, the objective is to fulfill daily cooling, heating and electric demands of a hypothetical building with the maximum profit.

TL;DR: A comprehensive optimal bidding strategy for an energy hub is modeled and takes advantages of multi-inputs vector of energy hub to submit the optimal bids including electricity selling/buying and optimizes the cost.

TL;DR: A demand response strategy for distribution grid management is proposed in which the distribution system operator (DSO) uses the flexibility of energy hubs in a demand response format to improve the operation and also provides benefits for energy hubs.

TL;DR: In this article, a multi-objective framework is presented to evaluate the integration of distant wind farms with associated transmission network upgrades on optimal power system planning, where the decision making is based on hierarchal level II (HL-II) Expected Energy Not Served as an entire power system reliability assurance, and capital cost plus annual operational cost as an economical index.

TL;DR: Results indicate high efficiency of the proposed VDS-NSGA-II, a new computational technique in composite generation and transmission expansion planning considering reliability and cost assessment that incorporates a virtual database in order to hedging the repetitive calculation by optimisation solver.