This paper deals with the energy management strategy (EMS) for an on-board semi-active hybrid energy storage system (HESS) composed of a Li-ion battery (LiB) and ultracapacitor (UC). Considering both the nonlinearity of the semi-active structure and driving condition uncertainty, while ensuring HESS operation within constraints, an adaptive model predictive control (AMPC) method is adopted to d...

In this study, a hierarchical energy management system (EMS) is proposed, to coordinate different sources in an islanded multi-good microgrid. The first layer deals with the daily scheduling problem, while second balances generation real-time. A novel formulation, relying on model predictive control under scenario-based stochastic approach (sMPC), introduced and it compared reference based cent...

An Energy Management System (EMS) that uses a Model Predictive Control (MPC) to manage the flow of microgrids is described in this work. The EMS integrates both wind speed and solar radiation predictors by using time series perform primary grid forecasts. At each sampling data measurement, power photovoltaic system turbine are predicted. Then, MPC algorithm those predictions obtain optimal flow...

All-electric ships are now a standard offering for energy/propulsion systems in boats. In this context, integrating fuel cells (FCs) as power sources in hybrid energy systems can be an interesting solution because of their high efficiency and low emission. The energy management strategy for different power sources has a great influence on the fuel consumption, dynamic performance and service li...

The environmental aspect like oil depletion, global heating and CO2 gas emissions have become a concern and have propelled the development of an efficient and extendable energy management system (EMS) using fuel cell and battery sources for Hybrid Electric Vehicles. In this paper, a poser of a hybrid electric vehicle with energy management system with multiple source of energy is developed and ...

A microgrid is characterized by the integration of distributed energy resources and controllable loads in a power distribution network. Such integration introduces new, unique challenges to microgrid management that have never been exposed to traditional power systems. To accommodate these challenges, it is necessary to redesign a conventional Energy Management System (EMS) so that it can cope ...

Intensive efforts have been made recently in transforming the power grid into smart grid by means of incorporating extensive information and communication infrastructures. In this paper a versatile stochastic optimization approach has been proposed for smart grid, to suffice the residential customers in an efficient energy management comprising high penetration of renewable and distributed ener...

Energy storage can absorb variability from the rising number of wind and solar power producers. Storage is different from the conventional generators that have traditionally balanced supply and demand on fast time scales due to its hard energy capacity constraints, dynamic coupling, and low marginal costs. These differences are leading system operators to propose new mechanisms for enabling sto...

Community Microgrid offers effective energy harvesting from distributed resources and efficient consumption by employing an management system (EMS). Therefore, the collaborative microgrids are essentially required to apply EMS, underlying operative control strategy in order provide system. An EMS is apt optimize operation of several points view. Optimal production planning, optimal demand-side ...

Many new demand response strategies are emerging for energy management in smart grids. Real-Time Energy Pricing (RTP) is one important aspect of consumer Demand Side Management (DSM), which encourages consumers to participate in load scheduling. This can help reduce peak demand and improve power system efficiency. The use of Intelligent Decision Support Systems (IDSSs) for load scheduling has b...