Control aspects of distribution networks with dispersed generation

IEEE Trans. Power Syst.

Lebeau²,

Cutsem

2016

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.

Section: A Test System and Its Two-level Decompositionmentioning

confidence: 99%

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

IEEE Trans. Power Syst.

Lebeau²,

Cutsem

2016

“…The model and data of the DNs (sketched in Fig. 7) were taken from [20] and scaled to match the original loads seen by the TN. Multiple DNs were used to match the original loads, taking into account the nominal power of the TN-DN transformers.…”

Section: B Expanded Nordic Systemmentioning

confidence: 99%

Accelerating the computation of critical eigenvalues with parallel computing techniques

2016 Power Systems Computation Conference (PSCC)

Hug

2016

Abstract-Eigenanalysis of power systems is frequently used to study the effect and tune the response of existing controllers, or to guide the design of new controllers. However, recent developments in the area lead to the necessity of studying larger power system models, resulting from the interconnection of transmission networks or the joint consideration of transmission and distribution networks. Moreover, these models include new types of controls, mainly based on power electronic interfaces, which are expected to provide significant support in the future. The consequence is that the size and complexity of these models challenge the computational efficiency of existing eigenanalysis methods. In this paper, a procedure is proposed that uses domain decomposition and parallel computing methods, to accelerate the computation of eigenvalues in a selected region of the complex plane with iterative eigenanalysis methods. The proposed algorithm is validated on a small transmission system and its performance is assessed on a large-scale, combined transmission and distribution system.

“…3. The model and data of each DN were taken from [12] and scaled to match the original TN loads. Multiple DNs were used to match the original load powers, taking into account the nominal power of the TN-DN transformers.…”

Section: B Test System Modelmentioning

confidence: 99%

A parallel processing approach to dynamic simulations of combined transmission and distribution systems

International Journal of Electrical Power & Energy Systems

Cutsem

2015

Abstract-Simulating a power system with both transmission and distribution networks modeled in detail is a huge computational challenge. In this paper, we propose a Schurcomplement-based domain decomposition algorithm to provide accurate, detailed dynamic simulations of the combined system. The simulation procedure is accelerated with the use of parallel programming techniques, taking advantage of the parallelization opportunities inherent in domain decomposition algorithms. The proposed algorithm is general, portable and scalable on inexpensive, shared-memory, multi-core machines. A large-scale test system is used for its performance evaluation.