A novel centralized supervisory with distributed control system-based microgrid

Supervisory Control and Data Acquisition is a popular control and monitoring scheme and is predominantly used in many industrial systems. Driven by the motivation of extending the usage of the SCADA systems for microgrid, a novel centralized Supervisory Control and Data Acquisition System with Distributed Control Systems is proposed and validated for the microgrid. Supervisory instructions are issued from the central control system, whereas the local controllers are used to implement the exclusive control schemes required for the various subsystems. A wired sensor network is used to monitor the various vital parameters and a Graphical User Interface (GUI) is used for monitoring the status of operation of the various subsystems along with their parametric values. The proposed system is simulated in the MATLAB SIMULINK environment. An experimental verification prototype has also been carried out where a PC (Personal Computer) with a Graphical User Interface developed in C# and a microcontroller is used to act as an interface between the distributed controllers in the plant and the master control PC

Large-scale unit commitment under uncertainty: an updated literature survey

The Unit Commitment problem in energy management aims at finding the optimal production schedule of a set of generation units, while meeting various system-wide constraints. It has always been a large-scale, non-convex, difficult problem, especially in view of the fact that, due to operational requirements, it has to be solved in an unreasonably small time for its size. Recently, growing renewable energy shares have strongly increased the level of uncertainty in the system, making the (ideal) Unit Commitment model a large-scale, non-convex and uncertain (stochastic, robust, chance-constrained) program. We provide a survey of the literature on methods for the Uncertain Unit Commitment problem, in all its variants. We start with a review of the main contributions on solution methods for the deterministic versions of the problem, focussing on those based on mathematical programming techniques that are more relevant for the uncertain versions of the problem. We then present and categorize the approaches to the latter, while providing entry points to the relevant literature on optimization under uncertainty. This is an updated version of the paper "Large-scale Unit Commitment under uncertainty: a literature survey" that appeared in 4OR 13(2), 115--171 (2015); this version has over 170 more citations, most of which appeared in the last three years, proving how fast the literature on uncertain Unit Commitment evolves, and therefore the interest in this subject