Indonesian Journal of Electrical Engineering and Computer Science Vol. 14, No. 3, June 2019, pp. 1087~1096 ISSN: 2502-4752, DOI: 10.11591/ijeecs.v14.i3.pp1087-1096  1087 Journal homepage: http://iaescore.com/journals/index.php/ijeecs Solving economic dispatch and unit commitment problem in smart grid system using eagle strategy based crow search algorithm Rachid Habachi, Achraf Touil, Abdellah Boulal, Abdelkabir Charkaoui, Abdelwahed Echchatbi Industrial Management and Innovation, The Faculty of Sciences and Technology, Hassan 1st University, Morocco Article Info ABSTRACT Article history: Received Nov 20, 2018 Revised Jan 21, 2019 Accepted Feb 27, 2019 The economic dispatch problem of power plays a very important role in the exploitation of electro-energy systems to judiciously distribute power generated by all plants. The Unit commitment problem (UCP) is mainly finding the minimum cost schedule to a set of generators by turning each one either on or off over a given time horizon to meet the demand load and satisfy different operational constraints. This research article integrates the crow search algorithm (CSA) as a local optimizer of Eagle strategy (ES) to solve economic dispatch and unit commitment problem in smart grid system. Keywords: Crow search algorithm (CSA) Eagle strategy (ES) Economic dispatch problem Smart grid system Unit commitment problem Copyright © 2019 Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author: Rachid Habachi, Laboratory of Mechanical Engineering, Industrial Management and Innovation, Faculty of Sciences and Technology, Hassan 1st University, PO Box 577, Settat, Morocco. Email: habachirachid@gmail.com 1. INTRODUCTION Smart grids are a set of technologies, concepts and approaches, allowing the integration the generation, transmission, distribution and use into one internet by full use of advanced sensor measurement technology, communications technology, information technology, computer technology, control technology, new energy technologies [1]. However, Smart Grid uses digital technology to control grid and choosing the best mode of power distribution to reduce energy consumption, reduce costs, increase reliability and also increase transparency in the network. Therefore, the system intelligent will have will have a significant impact in the fields of finance and economics of the power industry [2]. Although, the traditional network is a one-way network in which the electrical energy produced in power plants is channeled to consumers without information to create an automated and distributed network of advanced power supplies. The unit commitment problem plays a significant role in optimizing the cost of generating electrical power by planning production units based on the allocation of the production cost of each unit and the actual output power [3]. They involves scheduling the on/off states of generating units to minimize the operating cost for a given time horizon. The committed units must meet the systems fore-casted demand and spinning reserve requirement at minimum operating cost, subject to a large set of operating constraints. The UC problem, one of the most important tasks in short-term operation planning of modern power systems, has a significant influence on the secure and economic operation of power systems [4]. Optimal commitment scheduling cannot only save millions of dollars for power companies; it also ensures system reliability by maintaining the proper spinning reserve.