This paper proposes an energy management system (EMS) for battery storage systems in grid-connected microgrids. The charging/discharging power is determined such that the overall consumption cost minimized, considering variation grid tariff, renewable generation and load demand. modeled as economic dispatch optimization problem over a 24 h horizon solved using mixed integer linear programming (...

The automotive industry has been rapidly transforming and moving further from internal combustion engines, towards hybrid or electric vehicles. A key component for the successful adoption of aforementioned approach is their Energy Management Systems (EMSs). In proposed work, we describe in detail a custom EMS, with unique characteristics, which was developed installed hydrogen-powered prototype...

With the rising load demand and power losses, equipment in utility network often operates close to its marginal limits, creating a dire need for installation of new Distributed Generators (DGs). Their proper placement is one prerequisites fully achieving benefits; otherwise, this may result worsening their performance. This could even lead further deterioration if an effective Energy Management...

Hybrid energy storage system (HESS) composed of lithium-ion battery and supercapacitors has been recognized as one of the most promising solutions to face against the high cost, low power density and short cycle life of the battery-only energy storage system, which is the major headache hindering the further penetration of electric vehicles. In this work, the HESS sizing and energy management p...

Transport network pricing is a topic of interest to transport planners and users alike. Pricing schemes are a vital traffic management strategy which can be implemented to reduce congestion, among other network externalities. Previous research has explored pricing schemes to achieve a variety of network objectives, including social and environmental concerns. This work introduces a robust strat...

This paper proposes a model for dynamic pricing that combines knowledge of production capacity and existing commitments, reasoning about uncertainty and learning of market conditions in an attempt to optimise expected profits. In particular, the market conditions are represented as a set of probabilities over the success rate of product prices, and those prices are learned online as the market ...

This study presents an optimal framework for the operation of integrated energy systems using demand response programs. The main goal of integrated energy systems is to optimally supply various demands using different energy carriers such as electricity, heating, and cooling. Considering the power market price, this work investigates the effects of multiple energy storage devices and demand res...