Enhanced demand side management method in optimizing utilization of available power supply

Optimization of available power supply has become one of solutions to maintain continuity of electric power supply. In order to apply the solution, two essential issues to be considered are peak load and unused power. Peak load is condition when power usage exceeds peak load boundary. This condition...

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Main Author: Shafer, Muhammad Gary
Format: Thesis
Language:English
Published: 2014
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Online Access:http://eprints.utm.my/id/eprint/48050/25/MuhammadGaryShaferMFC2014.pdf
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spelling my-utm-ep.480502017-08-16T01:16:27Z Enhanced demand side management method in optimizing utilization of available power supply 2014-04 Shafer, Muhammad Gary QA75 Electronic computers. Computer science Optimization of available power supply has become one of solutions to maintain continuity of electric power supply. In order to apply the solution, two essential issues to be considered are peak load and unused power. Peak load is condition when power usage exceeds peak load boundary. This condition causes power generator to operate at its limit and distress the power system. Unused power is excess of power from power generation that cannot be stored. Thus, it decreases efficiency of the power system. Demand Side Management (DSM) is a group of techniques in load management that focuses to tackle the issues. Direct Load Control (DLC) is one of the techniques in DSM method that handles peak load. This technique switches off some feeders in near real-time based on priority. In addition, this technique also applies scheduling mechanism to handle power payback phenomenon inherented in peak load. However, DLC technique does not consider unused power issue. Thus, this study combines DLC technique with proposed Dynamic Power Allocation (DPA) technique to consider the unused power issue. Combination of these two techniques is proposed as enhancement of DSM method to optimize utilization of available power supply. Simulation of power usage has been designed and experiment has been conducted. Two experiments were conducted: experiment that applies DLC technique only and experiment that applies combination of DLC and DPA techniques. To evaluate the performance of enhanced DSM method, load factor parameter is used. Load factor represents average power usage divided by maximum power usage at certain time period. Evaluation result shows that DLC technique only achieves 0.85 in terms of load factor. Moreover, load factor from enhanced DSM method is increased to 0.92. From the results, it can be concluded that the enhanced DSM method has achieved better optimization in utilizing the available power supply. 2014-04 Thesis http://eprints.utm.my/id/eprint/48050/ http://eprints.utm.my/id/eprint/48050/25/MuhammadGaryShaferMFC2014.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Computing Faculty of Computing
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic QA75 Electronic computers
Computer science
spellingShingle QA75 Electronic computers
Computer science
Shafer, Muhammad Gary
Enhanced demand side management method in optimizing utilization of available power supply
description Optimization of available power supply has become one of solutions to maintain continuity of electric power supply. In order to apply the solution, two essential issues to be considered are peak load and unused power. Peak load is condition when power usage exceeds peak load boundary. This condition causes power generator to operate at its limit and distress the power system. Unused power is excess of power from power generation that cannot be stored. Thus, it decreases efficiency of the power system. Demand Side Management (DSM) is a group of techniques in load management that focuses to tackle the issues. Direct Load Control (DLC) is one of the techniques in DSM method that handles peak load. This technique switches off some feeders in near real-time based on priority. In addition, this technique also applies scheduling mechanism to handle power payback phenomenon inherented in peak load. However, DLC technique does not consider unused power issue. Thus, this study combines DLC technique with proposed Dynamic Power Allocation (DPA) technique to consider the unused power issue. Combination of these two techniques is proposed as enhancement of DSM method to optimize utilization of available power supply. Simulation of power usage has been designed and experiment has been conducted. Two experiments were conducted: experiment that applies DLC technique only and experiment that applies combination of DLC and DPA techniques. To evaluate the performance of enhanced DSM method, load factor parameter is used. Load factor represents average power usage divided by maximum power usage at certain time period. Evaluation result shows that DLC technique only achieves 0.85 in terms of load factor. Moreover, load factor from enhanced DSM method is increased to 0.92. From the results, it can be concluded that the enhanced DSM method has achieved better optimization in utilizing the available power supply.
format Thesis
qualification_level Master's degree
author Shafer, Muhammad Gary
author_facet Shafer, Muhammad Gary
author_sort Shafer, Muhammad Gary
title Enhanced demand side management method in optimizing utilization of available power supply
title_short Enhanced demand side management method in optimizing utilization of available power supply
title_full Enhanced demand side management method in optimizing utilization of available power supply
title_fullStr Enhanced demand side management method in optimizing utilization of available power supply
title_full_unstemmed Enhanced demand side management method in optimizing utilization of available power supply
title_sort enhanced demand side management method in optimizing utilization of available power supply
granting_institution Universiti Teknologi Malaysia, Faculty of Computing
granting_department Faculty of Computing
publishDate 2014
url http://eprints.utm.my/id/eprint/48050/25/MuhammadGaryShaferMFC2014.pdf
_version_ 1747817295616409600