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Energies 2017, 10(9), 1376; doi:10.3390/en10091376

Transmission Expansion Planning Using TLBO Algorithm in the Presence of Demand Response Resources

Tehran Polytechnic, Amirkabir University of Technology, 424 Hafez Ave, 159163-4311 Tehran, Iran
Author to whom correspondence should be addressed.
Received: 11 July 2017 / Revised: 4 September 2017 / Accepted: 5 September 2017 / Published: 11 September 2017
(This article belongs to the Section Electrical Power and Energy System)
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Transmission Expansion Planning (TEP) involves determining if and how transmission lines should be added to the power grid so that the operational and investment costs are minimized. TEP is a major issue in smart grid development, where demand response resources affect short- and long-term power system decisions, and these in turn, affect TEP. First, this paper discusses the effects of demand response programs on reducing the final costs of a system in TEP. Then, the TEP problem is solved using a Teaching Learning Based Optimization (TLBO) algorithm taking into consideration power generation costs, power loss, and line construction costs. Simulation results show the optimal effect of demand response programs on postponing the additional cost of investments for supplying peak load. View Full-Text
Keywords: transmission expansion planning; demand response program; TLBO; elasticity transmission expansion planning; demand response program; TLBO; elasticity

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Zakeri, A.S.; Askarian Abyaneh, H. Transmission Expansion Planning Using TLBO Algorithm in the Presence of Demand Response Resources. Energies 2017, 10, 1376.

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