Publicación: MICROGRID MANAGEMENT STRATEGIES FOR ECONOMIC DISPATCH OF ELECTRICITY USING MODEL PREDICTIVE CONTROL TECHNIQUES: A REVIEW
Fecha
2023
Título de la revista
ISSN de la revista
Título del volumen
Editor
Energies
Resumen
IN RECENT YEARS, MICROGRID (MG) DEPLOYMENT HAS SIGNIFICANTLY INCREASED, UTILIZING VARIOUS
TECHNOLOGIES. MGS ARE ESSENTIAL FOR INTEGRATING DISTRIBUTED GENERATION INTO ELECTRIC POWER SYSTEMS. THESE SYSTEMS? ECONOMIC DISPATCH (ED) AIMS TO MINIMIZE GENERATION COSTS WITHIN A SPECIFIC TIME INTERVAL WHILE MEETING POWER GENERATION CONSTRAINTS. BY EMPLOYING ED IN ELECTRIC MGS, THE UTILIZATION OF DISTRIBUTED ENERGY RESOURCES BECOMES MORE FLEXIBLE, ENHANCING ENERGY SYSTEM EFFICIENCY. ADDITIONALLY, IT ENABLES THE ANTICIPATION AND PROPER UTILIZATION OF OPERATIONAL LIMITATIONS AND ENCOURAGES
THE ACTIVE INVOLVEMENT OF PROSUMERS IN THE ELECTRICITY MARKET. HOWEVER, IMPLEMENTING CONTROLLERS
AND ALGORITHMS FOR OPTIMIZING ED REQUIRES THE INDEPENDENT HANDLING OF CONSTRAINTS. NUMEROUS
ALGORITHMS AND SOLUTIONS HAVE BEEN PROPOSED FOR THE ED OF MGS. THESE CONTRIBUTIONS SUGGEST
UTILIZING TECHNIQUES SUCH AS PARTICLE SWARM OPTIMIZATION (PSO), MIXED-INTEGER LINEAR PROGRAMMING
(MILP), CPLEX, AND MATLAB. THIS PAPER PRESENTS AN INVESTIGATION OF THE USE OF MODEL PREDICTIVE
CONTROL (MPC) AS AN OPTIMAL MANAGEMENT TOOL FOR MGS. MPC HAS PROVEN EFFECTIVE IN ED BY ALLOWING
THE PREDICTION OF ENVIRONMENTAL OR DYNAMIC MODELS WITHIN THE SYSTEM. THIS STUDY AIMS TO REVIEW
MGS? MANAGEMENT STRATEGIES, SPECIFICALLY FOCUSING ON MPC TECHNIQUES. IT ANALYZES HOW MPC HAS
BEEN APPLIED TO OPTIMIZE ED WHILE CONSIDERING MGS? UNIQUE CHARACTERISTICS AND REQUIREMENTS. THIS
REVIEW AIMS TO ENHANCE THE UNDERSTANDING OF MPC?S ROLE IN EFFICIENT MG MANAGEMENT, GUIDING FUTURE
RESEARCH AND APPLICATIONS IN THIS FIELD.
Descripción
Palabras clave
model predictive control, microgrid, economic dispatch, bi-level optimization
