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Planning and Energy Management of Energy Storage Systems in Active Distribution Networks Open Access

Descriptions

Other title
Subject/Keyword
Active Distribution Systems
Energy Management Systems
Energy Storage System
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Abdeltawab, Hussein MH
Supervisor and department
Dr. Yasser Mohamed
Examining committee member and department
Dr. Hamidreza Zareipour (ECE Department, University of Calgary)
Dr. Sahar Azad (ECE Dept. UofA)
Dr. Venkata Dinavahi (ECE Dept. UofA)
Dr. Qing Zhao (ECE Dept. UofA)
Dr. Yasser Mohamed (ECE Dept. UofA)
Department
Department of Electrical and Computer Engineering
Specialization
Energy Systems
Date accepted
2017-01-31T11:15:20Z
Graduation date
2017-06:Spring 2017
Degree
Doctor of Philosophy
Degree level
Doctoral
Abstract
This thesis discusses the techno-economic planning and operation of energy storage systems in active distribution power systems. Energy storage systems (ESSs) can participate in multi-services in the grid, such as energy arbitrage, renewable energy time-shifting, peak shaving, power loss minimization and reactive power support. The main objective is to enable the owner (a consumer or distribution company) to maximize profit while maintaining the power quality and respecting the operational constraints. In this thesis, energy storage planning is conducted by sizing and allocating both of stationary and mobile storage. With stationary storage sizing, the system operator owns the storage which increases the total profit by performing multi grid services including distribution system expansion, energy arbitrage, energy loss minimization, time shifting, and reactive power support. The optimization includes practical constraints for the battery dynamics, such as the state of charge, and the number of charging cycles. The power flow constraints are considered, and the bus voltage and branch ampacity are included. The sizing scheme includes other options, such as distributed generators, static VAr compensators, and other power-balancing services. The sizing scheme was tested by simulation on a real radial feeder in Ontario, Canada. The sizing problem was also investigated for mobile energy storage systems (MESSs). The second part of the thesis discusses the use of predictive energy management systems (EMSs) for different applications. First, a predictive EMS for a hybrid wind-battery system is discussed. The EMS provides more profit for the owner by including a practical method that considers the battery expended-life cost. The EMS determines the optimal charging cycles and state of charge that will achieve the maximum net profit for the hybrid system owner. A predictive EMS is also developed for a flywheel with a wind system. The flywheel regulates the hybrid system power and its rate to comply with the grid code. The EMS considers the flywheel power loss minimization as a factor in the optimization. A day-ahead EMS is designed for mobile storage to define the optimal dispatching buses and powers such that the distribution system owner’s profit is maximized. This objective is achieved by simultaneously performing power loss minimization, reactive power support, and energy arbitrage. Finally, the thesis demonstrates multi ESS participation in day-ahead markets by defining the robust operating zones in the distribution system. The uncertainties of loads and renewable resources are considered to define the safe dispatch levels for the distributed storage. Comparative case studies, conducted on a real active distribution system in Ontario, Canada, showed the effectiveness of the proposed planning and EMS algorithms.
Language
English
DOI
doi:10.7939/R3R49GN4Q
Rights
This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for the purpose of private, scholarly or scientific research. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
Citation for previous publication
This thesis discusses the techno-economic planning and operation of energy storage systems in active distribution power systems. Energy storage systems (ESSs) can participate in multi-services in the grid, such as energy arbitrage, renewable energy time-shifting, peak shaving, power loss minimization and reactive power support. The main objective is to enable the owner (a consumer or distribution company) to maximize profit while maintaining the power quality and respecting the operational constraints. In this thesis, energy storage planning is conducted by sizing and allocating both of stationary and mobile storage. With stationary storage sizing, the system operator owns the storage which increases the total profit by performing multi grid services including distribution system expansion, energy arbitrage, energy loss minimization, time shifting, and reactive power support. The optimization includes practical constraints for the battery dynamics, such as the state of charge, and the number of charging cycles. The power flow constraints are considered, and the bus voltage and branch ampacity are included. The sizing scheme includes other options, such as distributed generators, static VAr compensators, and other power-balancing services. The sizing scheme was tested by simulation on a real radial feeder in Ontario, Canada. The sizing problem was also investigated for mobile energy storage systems (MESSs). The second part of the thesis discusses the use of predictive energy management systems (EMSs) for different applications. First, a predictive EMS for a hybrid wind-battery system is discussed. The EMS provides more profit for the owner by including a practical method that considers the battery expended-life cost. The EMS determines the optimal charging cycles and state of charge that will achieve the maximum net profit for the hybrid system owner. A predictive EMS is also developed for a flywheel with a wind system. The flywheel regulates the hybrid system power and its rate to comply with the grid code. The EMS considers the flywheel power loss minimization as a factor in the optimization. A day-ahead EMS is designed for mobile storage to define the optimal dispatching buses and powers such that the distribution system owner’s profit is maximized. This objective is achieved by simultaneously performing power loss minimization, reactive power support, and energy arbitrage. Finally, the thesis demonstrates multi ESS participation in day-ahead markets by defining the robust operating zones in the distribution system. The uncertainties of loads and renewable resources are considered to define the safe dispatch levels for the distributed storage. Comparative case studies, conducted on a real active distribution system in Ontario, Canada, showed the effectiveness of the proposed planning and EMS algorithms.Chapter 4 has been submitted as H. H. Abdeltawab and Y. A.-R. I. Mohamed, “Allocation and Sizing of Mobile Energy Storage in Active Distribution Systems,” IEEE Transactions on Smart Grid, Aug. 2016, 8-double-column pages, submitted.Chapter 5 has been published as H. H. Abdeltawab and Y. A.-R. I. Mohamed, “Market-Oriented Energy Management of a Hybrid Wind-Battery Energy Storage System via Model Predictive Control with Constraints Optimizer,” IEEE Transactions on Industrial Electronics, vol. 62., no. 11, pp. 6658 - 6670, Nov. 2015.Chapter 6 has been published as H. H. Abdeltawab and Y. A.-R. I. Mohamed, “Robust Energy Management of a Hybrid Wind and Flywheel Energy Storage System Considering Flywheel Power Loss Minimization and Grid-Code Constraints,” IEEE Transactions on Industrial Electronics, vol. 63 no. 7, pp. 4242 – 4254, Nov. 2016.Chapter 7 has been submitted as H. H. Abdeltawab and Y. A.-R. I. Mohamed, “Robust Operating Zones Identification for Independent-Energy-Storage Market Participation,” Sustainable Energy, Grids and Networks. submitted, Aug. 2016. 12 double-column pages.Chapter 8 has been published as H. H. Abdeltawab and Y. A.-R. I. Mohamed, “Mobile Energy Storage Scheduling and Operation in Active Distribution Systems,” IEEE Transactions on Industrial Electronics, in press. 12 double-column pages.

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