Dynamic simulations of combined transmission and distribution systems using decomposition and localization

Aristidou, Petros; Cutsem, Thierry Van

doi:10.1109/ptc.2013.6652146

Cited by 11 publications

(12 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, due to the Schurcomplement approach used to treat the interface variables, the algorithm convergence is not sensitive to the selected partitioning or simulated contingency. However, another technique, first introduced in [40], can be used to calculate linear, sensitivitybased, equivalent models of the Satellite sub-domains during the dynamic simulation to further accelerate the simulation while sacrificing some accuracy.…”

Section: Discussionmentioning

confidence: 99%

Power System Dynamic Simulations Using a Parallel Two-Level Schur-Complement Decomposition

Aristidou

Lebeau²,

Cutsem

2016

IEEE Trans. Power Syst.

Self Cite

View full text Add to dashboard Cite

Abstract-As the need for faster power system dynamic simulations increases, it is essential to develop new algorithms that exploit parallel computing to accelerate those simulations. This paper proposes a parallel algorithm based on a two-level, Schurcomplement-based, domain decomposition method. The twolevel partitioning provides high parallelization potential (coarseand fine-grained). In addition, due to the Schur-complement approach used to update the sub-domain interface variables, the algorithm exhibits high global convergence rate. Finally, it provides significant numerical and computational acceleration. The algorithm is implemented using the shared-memory parallel programming model, targeting inexpensive multi-core machines. Its performance is reported on a real system as well as on a large test system combining transmission and distribution networks.

show abstract

Section: Discussionmentioning

confidence: 99%

Power System Dynamic Simulations Using a Parallel Two-Level Schur-Complement Decomposition

Aristidou

Lebeau²,

Cutsem

2016

IEEE Trans. Power Syst.

Self Cite

View full text Add to dashboard Cite

show abstract

“…It is also clear that both the co-simulation methods are consistent as well. 2) Stability: For first order linear systems, the stability of the numerical method can be determined when the absolute value of | m |< 1 when the x i+1 is expressed in terms of x i as equation 14.…”

Section: E Convergence Analysismentioning

confidence: 99%

“…In [14], dynamic simulation of combined transmission and distribution systems is introduced to address the computational burden of representing all distribution networks in detail. A domain decomposition approach based on level of participation of distribution networks in system dynamics is adopted to distinguish between selecting a simple or detailed model.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Co-Simulation Methods for Combined Transmission-Distribution System With Integration Time Step Impact on Convergence

Venkatraman

Khaitan

Ajjarapu

2019

IEEE Trans. Power Syst.

View full text Add to dashboard Cite

Combined Transmission and Distribution Systems (CoTDS) simulation for power systems requires development of algorithms and software that are numerically stable and at the same time accurately simulate dynamic events that can occur in practical systems. The dynamic behavior of transmission and distribution systems are vastly different, especially with the increased deployment of distribution generation. The time scales of simulation can be orders of magnitude apart making the combined simulation extremely challenging. This has led to increased research in applying co-simulation techniques for integrated simulation of the two systems. In this paper, a rigorous mathematical analysis on convergence of numerical methods in co-simulation is presented. Two methods for cosimulation of CoTDS are proposed using parallel and series computation of the transmission system and distribution systems. Both these co-simulation methods are validated against total system simulation in a single time-domain simulation environment. The series computation co-simulation method is shown to have better numerical stability at larger integration time steps. The series computation co-simulation method is additionally validated against commercial EMTP software and the results show remarkable correspondence.

show abstract

“…In this case, a 138-kV WSCC 118-bus transmission system is utilized and each load bus is connected to a 35-kV 123-bus distribution network. The topology of the 123-bus distribution network is the same as the original case in [31], and the total load demands (a.k.a., reactive and active powers) are consistent with the values given by the transmission network [32]. Five reactive power compensators are connected to bus 12, 35, 54, 76, and 108, which can be continuously adjusted.…”

Section: B Joint Ieee 118-bus Transmission Network and 123-bus Distrmentioning

confidence: 99%

“…Ref. [31] discussed the dynamic simulations for coordinating the transmission and distribution networks.…”

mentioning

confidence: 99%

A Hierarchical Modeling for Reactive Power Optimization With Joint Transmission and Distribution Networks by Curve Fitting

Ding

Huang

et al. 2018

IEEE Systems Journal

View full text Add to dashboard Cite

In order to solve the reactive power optimization with joint transmission and distribution networks, a hierarchical modeling method is proposed in this paper. It allows the reactive power optimization of transmission and distribution networks to be performed separately, leading to a master-slave structure and improves traditional centralized modeling methods by alleviating the big data problem in a control center. Specifically, the transmission-distribution-network coordination issue of the hierarchical modeling method is investigated. First, a curve-fitting approach is developed to provide a cost function of the slave model for the master model, which reflects the impacts of each slave model. Second, the transmission and distribution networks are decoupled at feeder buses, and all the distribution networks are coordinated by the master reactive power optimization model to achieve the global optimality. Numerical results on two test systems verify the effectiveness of the proposed hierarchical modeling and curve-fitting methods.

show abstract

Dynamic simulations of combined transmission and distribution systems using decomposition and localization

Cited by 11 publications

References 7 publications

Power System Dynamic Simulations Using a Parallel Two-Level Schur-Complement Decomposition

Power System Dynamic Simulations Using a Parallel Two-Level Schur-Complement Decomposition

Dynamic Co-Simulation Methods for Combined Transmission-Distribution System With Integration Time Step Impact on Convergence

A Hierarchical Modeling for Reactive Power Optimization With Joint Transmission and Distribution Networks by Curve Fitting

Contact Info

Product

Resources

About