Development of a Static Equivalent Model for Korean Power Systems Using Power Transfer Distribution Factor-Based k-Means++ Algorithm

Lee, Bae-Geun; Lee, Joonwoo; Kim, Soobae

doi:10.3390/en13246663

Cited by 4 publications

(4 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is originally developed to grouping n observations into k clusters based on the distance of the observation and the center or centroid of the cluster that the observation belongs to [38]. Although there are variations on algorithms applied to different types of datasets, the method has been used in several studies in power systems [39][40][41][42].…”

Section: Zone Detection By K-means Clusteringmentioning

confidence: 99%

Determination of Price Zones during Transition from Uniform to Zonal Electricity Market: A Case Study for Turkey

Poyrazoglu

2021

Energies

View full text Add to dashboard Cite

In the electricity market, different pricing models can be applied to increase market competitiveness. Different electricity systems use different market structures. Uniform marginal pricing, zonal marginal pricing, and nodal marginal pricing methods are commonly used market structures. For markets wishing to move from a uniform pricing structure to a more competitive zonal pricing structure, the determination of price zones is critical for achieving a competitive market that generates accurate price signals. Three different pricing zone detection algorithms are analyzed in this paper including the k-means clustering and queen/rook spatially constraint clustering. Finally, the results of a case study for the Turkish electricity system are shared to compare each method.

show abstract

Section: Zone Detection By K-means Clusteringmentioning

confidence: 99%

Determination of Price Zones during Transition from Uniform to Zonal Electricity Market: A Case Study for Turkey

Poyrazoglu

2021

Energies

View full text Add to dashboard Cite

show abstract

“…The proposed approach possesses good properties of Ward equivalent method, and can update the parameters of the equivalent model for representing real-time topology change of the external system. Lee et al [10] have presented a static network equivalent model for Korean power systems. The proposed equivalent model preserves the overall transmission network characteristics focusing on power flows among the areas in Korean power systems.…”

Section: Literature Reviewmentioning

confidence: 99%

A Recursive Least-Squares Approach with Memorizing Factor for Deriving Dynamic Equivalents of Power Systems

Karami

2021

Adv. technol. innov.

View full text Add to dashboard Cite

In this research, a two-stage identification-based approach is proposed to obtain a two-machine equivalent (TME) system of an interconnected power system for transient stability studies. To estimate the parameters of the equivalent system, a three-phase fault is applied near and/or at the bus of a local machine in the original multimachine system. The electrical parameters of the equivalent system are calculated in the first stage by equating the active and reactive powers of the local machine in both the original and the predefined equivalent systems. The mechanical parameters are estimated in the second stage by using a recursive least-squares estimation (RLSE) technique with a factor called “memorizing factor”. The approach is demonstrated on New England 10-machine 39-bus system, and its accuracy and efficiency are verified by computer simulation in MATLAB software. The results obtained from the TME system agree well with those obtained from the original multimachine system.

show abstract

“…More details about the Ward equivalent and extended versions can be found in [6,7]. Recently, power transfer distribution factor (PTDF)-based equivalents have been proposed that correctly reflect the PTDF characteristics and are effective for power system planning studies [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Partial Y-Bus Factorization Algorithm for Power System Dynamic Equivalents

Kim

Overbye

2022

Energies

Self Cite

View full text Add to dashboard Cite

This paper presents a partial Y-bus factorization algorithm to reduce the size of a power system model for transient stability analysis. In the proposed approach, steady-state operating conditions for dynamic equivalents are maintained using the traditional Ward admittance method. Fictitious generators are attached at boundary buses to preserve transient behavior following a disturbance. The equivalent dynamic effects from eliminated generators can be maintained by choosing appropriate dynamic parameters of fictitious generators, including machine inertia, transient reactance, and the damping coefficient. Parameters are determined using the idea that the contributions from external generators mostly depend on the network configuration and impedance characterized by the Y-bus matrix. The fictitious generators’ dynamic parameters are determined by conducting partial Y-bus factorization on dynamic parameter matrices. The proposed method’s performance is validated by conducting case studies with the IEEE 118-bus system and a 10,000 synthetic western U.S. power grid model and comparing simulation outcomes between the full system and reduced equivalent models. Simulation comparisons show that the equivalent model maintains high accuracy. The proposed method is promising alternative solution for power system dynamic equivalents.

show abstract

Development of a Static Equivalent Model for Korean Power Systems Using Power Transfer Distribution Factor-Based k-Means++ Algorithm

Cited by 4 publications

References 13 publications

Determination of Price Zones during Transition from Uniform to Zonal Electricity Market: A Case Study for Turkey

Determination of Price Zones during Transition from Uniform to Zonal Electricity Market: A Case Study for Turkey

A Recursive Least-Squares Approach with Memorizing Factor for Deriving Dynamic Equivalents of Power Systems

Partial Y-Bus Factorization Algorithm for Power System Dynamic Equivalents

Contact Info

Product

Resources

About