首页 | 本学科首页   官方微博 | 高级检索  
     


Minimizing the energy cost for microgrids integrated with renewable energy resources and conventional generation using controlled battery energy storage
Affiliation:1. King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia;2. The University of New South Wales, Sydney, Australia;1. Department of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong Special Administrative Region;2. School of Management, University of Texas at Dallas, Richardson, TX, USA;3. Centre for Systems Informatics Engineering, City University of Hong Kong, Kowloon, Hong Kong Special Administrative Region;1. University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, HR-10000 Zagreb, Croatia;2. GULIN Automation and Control Ltd., Put kroz Meterize 33, HR-22000 Šibenik, Croatia;1. Dipartimento di Automatica e Informatica, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy;2. Dipartimento Energia, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy;1. Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001, Portugal;2. TECNALIA. Energy and Environment Division, Parque Tecnológico de Bizkaia, 48160 Derio, Spain;1. Electrical Engineering Department, College of Engineering and Petroleum, Kuwait University, Kuwait;2. Electrical Engineering Department, Faculty of Engineering, Assiut University, Assiut, Egypt
Abstract:This paper presents a methodology to minimize the total cost of buying power from different energy producers including renewable energy generations particularly within the context of a microgrid. The proposed idea is primarily based on the controlled operation of a battery energy storage system (BESS) in the presence of practical system constraints coupled with our proposed cost optimization algorithm. The complex optimization problem with constraints has been solved using the well-known concept of dynamic programming. The methodology has been assessed using actual power and price data from six different power generation sites and cost reduction has been calculated for a number of BESSs by varying their energy and power capacities. Twofold benefits of the proposed methodology lie in minimizing the total cost along with the constraint-based efficient operation of the BESS. Simulation results depict that the given power demand at a particular region can be fulfilled properly at all times using a BESS and multiple power generation.
Keywords:Battery energy storage  Microgrids  Optimization  Renewable energy sources
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号