Computer Modelling of Electrical Power Systems

Arrillaga, J.; Watson, N.R.

doi:10.1002/9781118878286

Cited by 161 publications

(157 citation statements)

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“…The DC data of the test system are given in Tables 1-3. The DC converters are connected to buses 5, 4, 2, 10, 11, and 14 instead of the buses 15,16,17,18,19, and 20, respectively, in [23,24] (Table 3).…”

Section: Resultsmentioning

confidence: 99%

“…Generally, the obtained values of the ULTCs are out of the tap limits [15]. Sometimes the tap values are obtained in the limits, * Correspondence: farukyalcin@sakarya.edu.tr but they can lead to imaginary values for the control angles (firing angle for rectifier or extinction/recovery angle for inverter) [16,17]. Previous studies have overcome these problems efficiently.…”

Section: Introductionmentioning

confidence: 99%

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A new sequential power flow algorithm for AC/DC systems including independent multiterminal DC subsystems

Yalçın¹,

Arifoğlu²

2017

Turk J Elec Eng & Comp Sci

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A new sequential power flow algorithm for AC/DC systems including independent multiterminal DC subsystems

Yalçın¹,

Arifoğlu²

2017

Turk J Elec Eng & Comp Sci

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“…With reference to the network, the three-phase load flow equations [24] have to be included. In particular, the following equations apply at each three-phase node:…”

Section: Problem Formulationmentioning

confidence: 99%

A New Hybrid Approach Using the Simultaneous Perturbation Stochastic Approximation Method for the Optimal Allocation of Electrical Energy Storage Systems

et al. 2018

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This paper deals with the optimal allocation (siting and sizing) of distributed electrical energy storage systems in unbalanced electrical distribution systems. This problem is formulated as a mixed, non-linear, constrained minimization problem, in which the objective function involves economic factors and constraints address the technical limitations of both network and distributed resources. The problem is cumbersome from the computational point of view due to the presence of both constraints of an intertemporal nature and a great number of state variables. In order to guarantee reasonable accuracy-although limiting the computational efforts-a new approach is proposed in this paper: it is based on a Simultaneous Perturbation Stochastic Approximation (SPSA) method and on an innovative inner algorithm, which allows it to quickly carry out the daily scheduling (charging/discharging) of the electrical energy storage systems. The proposed method is applied to a medium voltage (Institute of Electrical and Electronics Engineers) IEEE unbalanced test network, to demonstrate the effectiveness of the procedure in terms of computational effort while preserving the accuracy of the solution. The obtained results are also compared with the results of a Genetic Algorithm and of an exhaustive procedure.

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“…All continuous inductors were replaced by discrete inductors. To avoid trapped meshes inside the shunt RC branches, the RC branches were lumped into one series branch using Norton and ThéVénin transformations [17], [18].…”

Section: A Discretizationmentioning

confidence: 99%

Multicore simulation of an ungrounded power system

Uriarte

2011

IET Electrical Systems in Transportation

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Abstract-An approach to partition power system simulations formulated in mesh currents as variables is presented. Time domain simulations of large-scale power systems are notoriously slow due to the system order and amount of time-varying components. A common approach to reduce simulation run-time is to partition power systems using Bergeron's travelling-wave model and to simulate the subsystems on a distributed computer. In this paper, power systems are partitioned using a new mesh tearing approach, and the subsystems distributed across the cores of a quad-core computer. A notional shipboard power system model was partitioned using the proposed partitioning approach, which is used to show how the simulation run-time reduces as a function of the number of partitions and number of power converters.

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Computer Modelling of Electrical Power Systems

Cited by 161 publications

References 0 publications

A new sequential power flow algorithm for AC/DC systems including independent multiterminal DC subsystems

A new sequential power flow algorithm for AC/DC systems including independent multiterminal DC subsystems

A New Hybrid Approach Using the Simultaneous Perturbation Stochastic Approximation Method for the Optimal Allocation of Electrical Energy Storage Systems

Multicore simulation of an ungrounded power system

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