AC-Based Differential Evolution Algorithm for Dynamic Transmission Expansion Planning
نویسندگان
چکیده
منابع مشابه
Transmission expansion planning based on merchandizing surplus of transmission lines
This paper proposes an optimal transmission expansion planning (TEP) which is based on determining share of each line in merchandizing surplus (MS) of system, determining by Independent System Operator (ISO). The more share of a line in MS of system denotes the priority of a line for expansion. The procedure of determining MS of each line in a power system is based on determining the MS share o...
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In recent years, significant research efforts have been devoted to the optimal planning of power systems. Substation Expansion Planning (SEP) as a sub-system of power system planning consists of finding the most economical solution with the optimal location and size of future substations and/or feeders to meet the future load demand. The large number of design variables and combination of discr...
متن کاملDynamic Robust Transmission Expansion Planning
Recent breakthroughs in Transmission Network Expansion Planning (TNEP) have demonstrated that the use of robust optimization, as opposed to stochastic programming methods, renders the expansion planning problem computationally tractable for real systems. State-of-the-art robust methods treat this problem as stationary throughout the study period, with all the required investments on expansion o...
متن کاملtransmission expansion planning based on merchandizing surplus of transmission lines
this paper proposes an optimal transmission expansion planning (tep) which is based on determining share of each line in merchandizing surplus (ms) of system, determining by independent system operator (iso). the more share of a line in ms of system denotes the priority of a line for expansion. the procedure of determining ms of each line in a power system is based on determining the ms share o...
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ژورنال
عنوان ژورنال: TELKOMNIKA (Telecommunication Computing Electronics and Control)
سال: 2018
ISSN: 2302-9293,1693-6930
DOI: 10.12928/telkomnika.v16i5.10578