{"title":"A priority list-based fuzzy logic controller for short-term unit commitment problem","authors":"J. Kumar, Ashu Verma, T. Bhatti","doi":"10.1504/ijpec.2019.10024038","DOIUrl":null,"url":null,"abstract":"This paper presents a fuzzy logic-based priority list method to solve the unit commitment problem. The priority list order is selected according to the maximum output power rating of the generating units while satisfying all the constraints over a period of time. The turn on (commitment) and turn off (de-commitment) decision of thermal generating units is handled by priority list order with fuzzy logic algorithm. A fuzzy optimisation-based approach is developed to find the optimal solution by using fuzzy operations and if-then rules. The objective of the optimisation is to achieve minimum operating cost by scheduling of generator units. In solving the unit commitment problem, reliability and feasibility constraints are checked for the planning interval. This method is implemented on standard IEEE 69-bus, 11-thermal generator system. Use of the fuzzy logic controller with priority list method enables the handling of uncertainties in load forecast in an efficient manner.","PeriodicalId":38524,"journal":{"name":"International Journal of Power and Energy Conversion","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Power and Energy Conversion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijpec.2019.10024038","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Energy","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents a fuzzy logic-based priority list method to solve the unit commitment problem. The priority list order is selected according to the maximum output power rating of the generating units while satisfying all the constraints over a period of time. The turn on (commitment) and turn off (de-commitment) decision of thermal generating units is handled by priority list order with fuzzy logic algorithm. A fuzzy optimisation-based approach is developed to find the optimal solution by using fuzzy operations and if-then rules. The objective of the optimisation is to achieve minimum operating cost by scheduling of generator units. In solving the unit commitment problem, reliability and feasibility constraints are checked for the planning interval. This method is implemented on standard IEEE 69-bus, 11-thermal generator system. Use of the fuzzy logic controller with priority list method enables the handling of uncertainties in load forecast in an efficient manner.
期刊介绍:
IJPEC highlights the latest trends in research in the field of power generation, transmission and distribution. Currently there exist significant challenges in the power sector, particularly in deregulated/restructured power markets. A key challenge to the operation, control and protection of the power system is the proliferation of power electronic devices within power systems. The main thrust of IJPEC is to disseminate the latest research trends in the power sector as well as in energy conversion technologies. Topics covered include: -Power system modelling and analysis -Computing and economics -FACTS and HVDC -Challenges in restructured energy systems -Power system control, operation, communications, SCADA -Power system relaying/protection -Energy management systems/distribution automation -Applications of power electronics to power systems -Power quality -Distributed generation and renewable energy sources -Electrical machines and drives -Utilisation of electrical energy -Modelling and control of machines -Fault diagnosis in machines and drives -Special machines