Open AccessOptimal Wind-Thermal Coordination Scheduling Considering Reserve Requirement
Author(s) -
Chan-Mook Jung,
Surender Reddy Salkuti
Publication year - 2019
Publication title -
international journal of mathematical, engineering and management sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 10
ISSN - 2455-7749
DOI - 10.33889/ijmems.2020.5.1.010
Subject(s) - wind power , cuckoo search , electric power system , computer science , spinning , scheduling (production processes) , control theory (sociology) , power system simulation , reliability (semiconductor) , mathematical optimization , power (physics) , reliability engineering , automotive engineering , engineering , electrical engineering , mathematics , algorithm , mechanical engineering , physics , control (management) , quantum mechanics , particle swarm optimization , artificial intelligence
This paper proposes an optimal coordination scheduling methodology for a wind-thermal power system by considering the intermittent behavior of wind power and load demands. The optimum amount of spinning reserves (SRs) needed to handle the uncertain nature of hybrid power system with wind generators is determined by using the probability analysis. The proposed model demonstrates the error in wind power and load forecasts by using the probability distribution functions for over and under estimations of load and wind power. In this work, two objectives, i.e., total operating cost and risk level are considered, which handles both economical and reliability issues, simultaneously. This problem is solved by using the meta-heuristic based Cuckoo search algorithm. The reactive power capability limits of synchronous generators and variable speed doubly fed induction generators are considered in this paper. Simulations have been carried out on IEEE 300 bus system.