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Energy storage system optimization a...

Abbey, Chad.

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Energy storage system optimization and control with wind energy.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Energy storage system optimization and control with wind energy./
Author:	Abbey, Chad.
Description:	142 p.
Notes:	Source: Dissertation Abstracts International, Volume: 71-05, Section: B, page: 3227.
Contained By:	Dissertation Abstracts International71-05B.
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NR61800
ISBN:	9780494618004

Energy storage system optimization and control with wind energy.
Abbey, Chad.

Energy storage system optimization and control with wind energy. - 142 p.

Source: Dissertation Abstracts International, Volume: 71-05, Section: B, page: 3227.

Thesis (Ph.D.)--McGill University (Canada), 2009.

This thesis proposes a methodology for planning, scheduling and on-line control of an energy storage system for the integration of wind energy. Using the case study of a remote wind-diesel system, the different time frames of the design and implementation process are detailed. First, a long-term planning approach for rating of the power and energy capacities of the ESS is presented, based on stochastic optimization. The formulation is then adapted into a hourly scheduling approach and results are compared with the expected cost of energy and energy requirements resulting from the planning study. The optimization results are used as training data for an artificial neural network, in an effort to generate an on-line control that captures inherent rules, using artificial intelligence. The ESS is realized as a two-level ESS and a general control structure for on-line operation of multi-level ESS is proposed and adapted for the wind-diesel system, as the first level in a hierarchical control. The system is evaluated in simulation and selected results are validated using a hardware-in-the-loop representation of the system, demonstrating that the proposed controller is realizable.

ISBN: 9780494618004Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Energy storage system optimization and control with wind energy.
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100 1 $a Abbey, Chad. $3 2105539
245 1 0 $a Energy storage system optimization and control with wind energy.
300 $a 142 p.
500 $a Source: Dissertation Abstracts International, Volume: 71-05, Section: B, page: 3227.
502 $a Thesis (Ph.D.)--McGill University (Canada), 2009.
520 $a This thesis proposes a methodology for planning, scheduling and on-line control of an energy storage system for the integration of wind energy. Using the case study of a remote wind-diesel system, the different time frames of the design and implementation process are detailed. First, a long-term planning approach for rating of the power and energy capacities of the ESS is presented, based on stochastic optimization. The formulation is then adapted into a hourly scheduling approach and results are compared with the expected cost of energy and energy requirements resulting from the planning study. The optimization results are used as training data for an artificial neural network, in an effort to generate an on-line control that captures inherent rules, using artificial intelligence. The ESS is realized as a two-level ESS and a general control structure for on-line operation of multi-level ESS is proposed and adapted for the wind-diesel system, as the first level in a hierarchical control. The system is evaluated in simulation and selected results are validated using a hardware-in-the-loop representation of the system, demonstrating that the proposed controller is realizable.
590 $a School code: 0781.
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Alternative Energy. $3 1035473
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710 2 $a McGill University (Canada). $b Department of Electrical and Computer Engineering. $3 1669512
773 0 $t Dissertation Abstracts International $g 71-05B.
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