Direct Optimisation Strategy For Economic And Environmentally Friendly Energy Sustainability

The generation-demand mismatch is a challenging mission to the Electricity Sector at the global level in spite of its deregulation, and it needs to be resolved in time to maintain its security, stability, and sustainability. Apart from the generation-demand mismatch, the emission from the fossil-f...

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Main Author:	Tan, Woan Wen
Format:	Thesis
Published:	2019
Subjects:	TJ163.26-163.5 Energy conservation
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id	my-mmu-ep.7723
record_format	uketd_dc
spelling	my-mmu-ep.77232020-09-17T05:51:46Z Direct Optimisation Strategy For Economic And Environmentally Friendly Energy Sustainability 2019-08 Tan, Woan Wen TJ163.26-163.5 Energy conservation The generation-demand mismatch is a challenging mission to the Electricity Sector at the global level in spite of its deregulation, and it needs to be resolved in time to maintain its security, stability, and sustainability. Apart from the generation-demand mismatch, the emission from the fossil-fuelled power systems imposes environmental challenges, which necessitate the employment of emission control strategies to protect the human health, and also to meet the global pollution standards. This research work proposes a new power dispatching algorithm incorporating economic and environmental constraints to balance the generation against demand. The proposed non-iterative analytical approach gives the solution at a faster rate compared to the time consuming and lengthy iterative techniques currently available. The size of the power system will not be a constraint for the application of the developed algorithm. The implementation of the proposed power dispatching algorithm on an IEEE Standard test system proves its efficacy. This research offers a few cost-effective energy conservation measures with a realistic case study to reduce the power demand, which helps in tackling the generation-demand mismatch. 2019-08 Thesis http://shdl.mmu.edu.my/7723/ http://library.mmu.edu.my/library2/diglib/mmuetd/ phd doctoral Multimedia University Faculty of Engineering
institution	Multimedia University
collection	MMU Institutional Repository
topic	TJ163.26-163.5 Energy conservation
spellingShingle	TJ163.26-163.5 Energy conservation Tan, Woan Wen Direct Optimisation Strategy For Economic And Environmentally Friendly Energy Sustainability
description	The generation-demand mismatch is a challenging mission to the Electricity Sector at the global level in spite of its deregulation, and it needs to be resolved in time to maintain its security, stability, and sustainability. Apart from the generation-demand mismatch, the emission from the fossil-fuelled power systems imposes environmental challenges, which necessitate the employment of emission control strategies to protect the human health, and also to meet the global pollution standards. This research work proposes a new power dispatching algorithm incorporating economic and environmental constraints to balance the generation against demand. The proposed non-iterative analytical approach gives the solution at a faster rate compared to the time consuming and lengthy iterative techniques currently available. The size of the power system will not be a constraint for the application of the developed algorithm. The implementation of the proposed power dispatching algorithm on an IEEE Standard test system proves its efficacy. This research offers a few cost-effective energy conservation measures with a realistic case study to reduce the power demand, which helps in tackling the generation-demand mismatch.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Tan, Woan Wen
author_facet	Tan, Woan Wen
author_sort	Tan, Woan Wen
title	Direct Optimisation Strategy For Economic And Environmentally Friendly Energy Sustainability
title_short	Direct Optimisation Strategy For Economic And Environmentally Friendly Energy Sustainability
title_full	Direct Optimisation Strategy For Economic And Environmentally Friendly Energy Sustainability
title_fullStr	Direct Optimisation Strategy For Economic And Environmentally Friendly Energy Sustainability
title_full_unstemmed	Direct Optimisation Strategy For Economic And Environmentally Friendly Energy Sustainability
title_sort	direct optimisation strategy for economic and environmentally friendly energy sustainability
granting_institution	Multimedia University
granting_department	Faculty of Engineering
publishDate	2019
_version_	1747829666996027392

Direct Optimisation Strategy For Economic And Environmentally Friendly Energy Sustainability

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