Three-Phase and Distribution System Load Flow

2017 ◽  
pp. 551-576
Author(s):  
J.C. Das
Author(s):  
Rudy Gianto ◽  
Purwoharjono Purwoharjono

This paper proposes a new and simple method to incorporate three-phase power transformer model into distribution system load flow (DSLF) analysis. The objective of the present work is to find a robust and efficient technique for modeling and integrating power transformer in the DSLF analysis. The proposed transformer model is derived based on nodal admittance matrix and formulated by using the symmetrical component theory. Load flow formulation in terms of branch currents and nodal voltages is also proposed in this paper to enable integrating the model into the DSLF analysis. Singularity that makes the calculations in forward/backward sweep (FBS) algorithm is difficult to be carried out. It can be avoided in the method. The proposed model is verified by using the standard IEEE test system.


Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 545 ◽  
Author(s):  
Chia-Sheng Tu ◽  
Ming-Tang Tsai

This paper presents an efficient strategy for transformer planning to reduce the system losses by means of transformer rearrangement. The customer connected to the distribution transformer are first investigated by the field survey, and the loads of the various customers are collected from the customer information system (CIS) and distribution database system (DAS) to derive their load patterns. The objective function is to minimize the total line loss in the 24 intervals. An improved bacterial foraging algorithm (IBFO) is proposed herein to find the optimal phase combination of distribution transformers to minimize the total line loss by considering operating constraints. A three-phase load flow program with Eeuivalent current injection (ECT) is used to solve the total line loss and system unbalance factor on a Taipower distribution system. The results can help operators not only perform the proper installation phase selection of distribution transformers, but also reduce the system losses, decrease the system unbalance factor, and improve the voltage profiles of the buses.


Author(s):  
Antonio Bracale ◽  
Pierluigi Caramia ◽  
Guido Carpinelli ◽  
Pietro Varilone

In this paper, a probabilistic method is proposed to analyze the very short-term steady-state performance of an unbalanced distribution electrical system characterized by the presence of wind farms. This method, which can take into account the uncertainties of loads and wind productions, is based on a Monte Carlo simulation procedure applied to the non-linear three-phase load flow equations, including wind farm models. Bayesian time series models are used to predict the next hour's wind speed probability density functions, making possible a predictive evaluation of the very short-term system steady-state behavior. Numerical applications are presented and discussed with reference to the three-phase unbalanced IEEE 34-bus test distribution system in the presence of wind farms connected at different busbars.


2021 ◽  
Author(s):  
Inderpreet Singh Wander

Environmental awareness and the need to reduce greenhouse gas emissions have promoted the use of green energy sources such as Wind Energy Conversion Systems (WECS). The Type 4 Permanent Magnet Synchronous Generator (PMSG) with a Full-Scale Converter has grown to be a preferred choice among WECS. Conventionally these WECS are modeled as fixed PQ injections in distribution system analysis studies and for that reason they are not accurately represented. This inaccuracy is accentuated given the large-scale of integration of WECS. To overcome this limitation, this thesis proposes to develop a steady-state model for the Type 4 PMSG WECS to be used in unbalanced three-phase distribution load flow programs. The proposed model is derived from the analytical representation of its six main components: (1) the wind turbine, (2) the synchronous generator, (3) the diode-bridge rectifier, (4) voltage source inverter, (5) the dc-link with a boost converter that connects them, and (6) control mode action. This proposed model is validated through mathematical analysis and by comparing with a Matlab/Simulink model. Subsequently, the proposed model is integrated into a three-phase unbalanced load flow program. The IEEE 37-bus test system data is used to benchmark the results of the power flow method.


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