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

Amir Sadegh Zakeri and Hossein Askarian Abyaneh
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Amir Sadegh Zakeri: Tehran Polytechnic, Amirkabir University of Technology, 424 Hafez Ave, 159163-4311 Tehran, Iran
Hossein Askarian Abyaneh: Tehran Polytechnic, Amirkabir University of Technology, 424 Hafez Ave, 159163-4311 Tehran, Iran

Energies, 2017, vol. 10, issue 9, 1-15

Abstract: 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.

Keywords: transmission expansion planning; demand response program; TLBO; elasticity (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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