Transmission Network Expansion Planning Considering Phase‐Shifter Transformers
Copyright policy )Transmission Network Expansion Planning Considering Phase‐Shifter Transformers
This paper presents a novel mathematical model for the transmission network expansion planning problem. Main idea is to consider phase‐shifter (PS) transformers as a new element of the transmission system expansion together with other traditional components such as transmission lines and conventional transformers. In this way, PS are added in order to redistribute active power flows in the system and, consequently, to diminish the total investment costs due to new transmission lines. Proposed mathematical model presents the structure of a mixed‐integer nonlinear programming (MINLP) problem and is based on the standard DC model. In this paper, there is also applied a specialized genetic algorithm aimed at optimizing the allocation of candidate components in the network. Results obtained from computational simulations carried out with IEEE‐24 bus system show an outstanding performance of the proposed methodology and model, indicating the technical viability of using these nonconventional devices during the planning process.
- State University of West Paraná Brazil
- Sao Paulo State University Brazil
- UNESP Brazil
- Unifunec - Centro Universitário de Santa Fé do Sul Brazil
- Universidade Estadual Paulista - UNESP Brazil
DC model, Computer engineering. Computer hardware, Active power flow, Transmission Planning, Distribution Systems, Transmission network expansion planning, Engineering, Network Reconfiguration, Electric power transmission, Transmission network, Safety, Risk, Reliability and Quality, Mathematical models, Optimal Power Flow, Transmission system expansion, Physics, Mathematical optimization, Insertion loss, 006, Electricity Market Operation and Optimization, Planning process, Computer simulation, Power (physics), Reliability Assessment of Wind Power Generation Systems, Genetic algorithm, Physical Sciences, Phase shift module, Quantum mechanics, Technical viability, TK7885-7895, DC power transmission, Nonlinear programming, Mixed-integer nonlinear programming, Transmission line, FOS: Electrical engineering, electronic engineering, information engineering, Transmission Expansion Planning, FOS: Mathematics, Investments, Electrical and Electronic Engineering, Transformer, Transmission system, Electronic engineering, Total investment, Conventional transformer, Bus systems, Voltage, Transmission line theory, Transmission (telecommunications), Computer science, Electric lines, 629, Integration of Distributed Generation in Power Systems, Electrical engineering, Nonlinear system, Computational simulation, Power transmission, Mathematics
DC model, Computer engineering. Computer hardware, Active power flow, Transmission Planning, Distribution Systems, Transmission network expansion planning, Engineering, Network Reconfiguration, Electric power transmission, Transmission network, Safety, Risk, Reliability and Quality, Mathematical models, Optimal Power Flow, Transmission system expansion, Physics, Mathematical optimization, Insertion loss, 006, Electricity Market Operation and Optimization, Planning process, Computer simulation, Power (physics), Reliability Assessment of Wind Power Generation Systems, Genetic algorithm, Physical Sciences, Phase shift module, Quantum mechanics, Technical viability, TK7885-7895, DC power transmission, Nonlinear programming, Mixed-integer nonlinear programming, Transmission line, FOS: Electrical engineering, electronic engineering, information engineering, Transmission Expansion Planning, FOS: Mathematics, Investments, Electrical and Electronic Engineering, Transformer, Transmission system, Electronic engineering, Total investment, Conventional transformer, Bus systems, Voltage, Transmission line theory, Transmission (telecommunications), Computer science, Electric lines, 629, Integration of Distributed Generation in Power Systems, Electrical engineering, Nonlinear system, Computational simulation, Power transmission, Mathematics
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).10 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!