Metaheuristics and Transmission Expansion Planning: A Comparative Case Study
نویسندگان
چکیده
Transmission expansion planning (TEP), the determination of new transmission lines to be added an existing power network, is a key element in system planning. Using classical optimization define most suitable reinforcements desirable alternative. However, extent under-study problems growing, because uncertainties introduced by renewable generation or electric vehicles (EVs) and larger sizes under consideration given trends for higher shares stronger market integration. This means that optimization, even using efficient techniques, such as stochastic decomposition, can have issues when solving large-sized problems. compounded fact that, many cases, it necessary solve large number instances problem order incorporate further considerations. Thus, interesting resort metaheuristics, which offer quick solutions at expense optimality guarantee. Metaheuristics combined with try extract best both worlds. There vast literature tests individual metaheuristics on specific case studies, but wide comparisons are missing. In this paper, genetic algorithm (GA), orthogonal crossover based differential evolution (OXDE), grey wolf optimizer (GWO), moth–flame (MFO), exchange (EMA), sine cosine (SCA) imperialistic competitive (ICA) tested compared. The algorithms applied standard test systems IEEE 24, 118 buses. Results indicate although all effective, they diverging profiles terms computational time finding optimal plans TEP.
منابع مشابه
Metaheuristics in Transmission Network Expansion Planning-an Overview
Within the electric power literature the transmission expansion planning problem (TEP) refers to the problem of how to upgrade an electric power network to meet future demands. As this problem is a complex, non-linear, and non-convex optimization problem, researchers have traditionally focused on approximate models of power flows. This research paper deals with various planning tools for TEP ba...
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...
متن کاملA New Generation Allocation and Expansion Planning Algorithm Including Transmission System Effects
Generation Expansion Planning (GEP) is one of major modules of power system planning studies, normally performed for the nex 10-30 years horizon. The current industrial practices are to find the generation requirements based on a nodal analysis. In this way, the allocations are not determined and subequent studies are required to find the exact locations which as decomposed from the earli...
متن کاملImpact of Demand Response Technique on Hybrid Transmission expansion planning and Reactive Power planning
In this paper, a model for hybrid transmission expansion planning (TEP) and reactive power planning (RPP) considering demand response (DR) model has been presented. In this study RPP considered by TEP for its effects on lines capacity and reduction of system expansion costs. On the other hand the expansion of the transmission system is an important subject, especially dealing with the new i...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Energies
سال: 2021
ISSN: ['1996-1073']
DOI: https://doi.org/10.3390/en14123618