Interregional Electric Power Planning Model Based on Sustainable Development of Wind Power
Publication: Journal of Energy Engineering
Volume 141, Issue 4
Abstract
China’s wind power is primarily distributed in West China which is far away from the load center. Power from these wind farms is difficult to consume, so it needs to be transmitted to East China to extend its consumption area. To coordinate interregional power construction and to make full use of the interregional power generation resources, especially the wind electricity, a joint plan for an interregional power source and power grid construction is necessary. A mixed integer programming model of interregional electric power investment dynamic optimization is established for many reasons. The most important reasons are the optimal operating costs of power generation and the factors involved in interregional power planning. Such factors include load and electricity demand constraints, fuel cost volatility, installation cost changes of clean energy, carbon emissions price growth, and installed capacity constraints. The results simulated by general algebraic modeling system (GAMS) show that on the economic level, interregional power investment optimization could reduce the economic input of electric power construction. On an environmental level, interregional power investment optimization achieves emission reduction benefits. With interregional planning, wind power will gain more in development and reach a greater percentage in power resources. The introduction of carbon emission trading will promote low-carbon construction in China’s power industry and guide the interregional utilization of clean energy.
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Acknowledgments
This work was supported by the National Science Foundation of China (Nos. 71071053 and 71273090). Financial support was provided by the CRG Project: G-YK60 (RGC Reference: PolyU 5237/11E).
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Published In
Journal of Energy Engineering
Volume 141 • Issue 4 • December 2015
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Dec 17, 2013
Accepted: Jul 28, 2014
Published online: Sep 5, 2014
Discussion open until: Feb 5, 2015
Published in print: Dec 1, 2015
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