This paper presents a multi-objective energy management system (EMS) to manage the power dispatch of a hybrid power plant (HPP), consisting of a grid-connected wind farm and a Li-ION battery storage system on the island of Guadeloupe’s electrical grid. Via a controller based on Model Predictive Control (MPC), the EMS solves the problem of optimization by considering the production forecast data and managing several operation rules, which ensures meet energy targets considered for a sustainable power dispatching plan. The proposed strategy is tested in a PowerFactory/MATLAB co-simulation environment.

Renewable energy sources are normally connected to the power grid via power electronic converters. High penetration of these energy sources into the power grid leads to high instability in voltage and frequency. This issue is caused by neglecting the inherent characteristics of synchronous generators i.e., inertia, damping and proper active and reactive power sharing in the structure of the used control technique in the control loop of the interfaced converter between power grid and renewable energy sources. This paper presents a power-based control technique based on a double synchronous controller (DSC) for interfaced converter between the renewable energy sources and the power grid, including an active-reactive power based dynamic equation. Through the proposed DSC, a decoupled control method is performed in which both active and reactive power can be injected from renewable energy sources into the power grid by the interfaced power converter with the inherent features of synchronous power generators. By using the proposed control technique, a stable operation of the power grid can be guaranteed during the integration of large-scale renewable energy sources. Stringent simulation results performed in MATLAB/SIMULINK environment verify the proficiency of the proposed control technique.

This paper presents an innovative energy management strategy for the power dispatch of an island grid-connected hybrid plant combining a battery energy storage system (BESS) and a wind energy conversion system (WECS). The power plant must inject power into the grid in a continuous manner according to a penalty system related to a commitment band for the injection. Aiming at the revenues maximization, an energy management system (EMS) is proposed to efficiently handle the charge/discharge cycles of the battery system as well as its state-of-charge (SoC) so that the generation engagements can be met while considering the battery lifespan. The strategy, based on model predictive control (MPC) and quadratic programming (QP), is tested through simulation with real wind farm data using Matlab Simulink.

In this paper, an energy management system (EMS) based on model predictive control (MPC) and quadratic programming (QP) is presented. The control strategy manages the power performance of an island grid-connected hybrid plant composed by a wind energy conversion system (WECS) and a LiION battery energy storage system (BESS). The hybrid plant should inject power into the grid continuously, subject to a commitment band previously fixed. For this, the proposed EMS handles efficiently the battery's charge/discharge cycles and state-of-charge (SoC) to meet the generation commitments while considering the BESS lifespan. The energy management system is tested via Matlab/Simulink software by using real wind data.

The increasing number of smart grid projects throughout the world has resulted in a large portfolio of demonstrators and advanced grid functions. These experimental projects generally aim to test and validate new solutions for the future electric system. This paper proposes a method to compare smart grid demonstration projects using a dedicated evaluation indicator. Scores are attributed to experimental projects addressing a variety of elements along the electricity chain that are included in the smart grid concept, which combines information and communication technology with the electric power system for a more efficient, sustainable, and economic use. The smart grid evaluation indicator is later applied to four major international smart grid demonstrators.

This paper presents the results of the analysis of Advanced Metering Infrastructure (AMI), one of the most widespread Smart Grid technologies as an alternative to conventional metering for the Colombian electrical grids. AMI is approached as a key element of the system by which enterprise and customer information converge, allowing the end user to access the functionality of a new metering infrastructure. The analysis considers the benefits of smart metering, compares experiences in other countries, the characteristics of the metering function, and regulatory and legal aspects particular to the Colombia case.