Three-phase load flow analysis of the unbalanced distribution networks

2016 ◽  
Author(s):  
Denisa Rusinaru ◽  
Leonardo Geo Manescu ◽  
Marian Ciontu ◽  
Miron Alba
Keyword(s):  
Flow Analysis ◽  
Distribution Networks ◽  
Load Flow ◽  
Load Flow Analysis ◽  
Three Phase

scholarly journals Fault Location of Active Distribution Networks Based on the Golden Section Method

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Haizhu Yang ◽  
Xiangyang Liu ◽  
Yiming Guo ◽  
Peng Zhang
Keyword(s):  
Fault Location ◽  
Golden Section ◽  
Flow Analysis ◽  
Energy Resource ◽  
Distribution Networks ◽  
Load Flow ◽  
Distributed Energy ◽  
Load Flow Analysis ◽  
Distributed Energy Resource ◽  
Golden Section Method

Aiming at the problem of fault location in distribution networks with distributed energy resources (DERs), a fault location method based on the concepts of minimum fault reactance and golden section is proposed in this paper. Considering the influence of distributed energy resource supply on fault point current in distribution networks, an improved trapezoidal iteration method is proposed for load flow analysis and fault current calculation. This method only needs to measure the synchronous current of the distributed energy resource and does not need to measure the voltage information. Therefore, the investment in equipment is reduced. Validation is made using the IEEE 34-node test feeder. The simulation results show that the method is suitable for fault location of distribution networks with multiple distributed generators. This method can accurately locate the faults of the active distribution network under different conditions.

scholarly journals Modelling of Electric Grid to Enhance Generated Power Evacuation

2021 ◽  
pp. 163-173
Author(s):  
Donald Eloebhose ◽  
Nelson Ogbogu
Keyword(s):  
Power Plants ◽  
Short Circuit ◽  
Flow Analysis ◽  
Load Flow ◽  
System Stability ◽  
Contingency Analysis ◽  
Load Flow Analysis ◽  
Electric Power Grid ◽  
Three Phase ◽  
Rivers State

The study of evacuation of power from the power plants in Rivers State Nigeria, connecting to the 330kV transmission network of the Transmission Company of Nigeria (TCN). The Power World Simulator Educational version was used in the modelling and simulation of the electric power grid. The study of load flow analysis, short circuit, transient and N-1 contingency analysis and their effect on the 330 kV/132kV transmission bus connected to the existing power plants in Rivers State Nigeria namely; Rivers IPP (180MW), Afam III (265.6MW), Afam IV & V (351.00 MW) and Afam VI G. S (650.00 MW) was carried out. From the short circuit study, it is observed that when a bus is faulted with a 3-phase fault, the three-phase voltages of the system drastically become zero in all the phases. The other buses of the network experience an increase in voltage and all the buses fed have the same effect as the bus under fault, though the effect is felt more on the buses. However, with the introduction of substation splitting at Afam III and ongoing Afam IV substations, the short circuit level will be reduced by 15%; leading to improvement in the overall system stability.

scholarly journals A new method to incorporate three-phase power transformer model into distribution system load flow analysis

2021 ◽  
Vol 10 (3) ◽  
pp. 262
Author(s):  
Rudy Gianto ◽  
Purwoharjono Purwoharjono
Keyword(s):  
Distribution System ◽  
Power Transformer ◽  
Flow Analysis ◽  
Test System ◽  
Load Flow ◽  
Simple Method ◽  
System Load ◽  
Load Flow Analysis ◽  
Three Phase ◽  
Transformer Model

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.

scholarly journals Probabilistic Load Flow Algorithm of Distribution Networks with Distributed Generators and Electric Vehicles Integration

Energies ◽  
2019 ◽  
Vol 12 (22) ◽  
pp. 4234 ◽  
Author(s):  
Zhou ◽  
Yang ◽  
Yang ◽  
Yang ◽  
Littler ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Energy Distribution ◽  
Flow Analysis ◽  
Electrical Energy ◽  
Distribution Networks ◽  
Load Flow ◽  
Probabilistic Load Flow ◽  
Load Flow Analysis ◽  
Distributed Generators ◽  
Probabilistic Load

Probabilistic Load Flow (PLF) calculations are important tools for analysis of the steady-state operation of electrical energy networks, especially for electrical energy distribution networks with large-scale distributed generators (DGs) and electric vehicle (EV) integration. Traditional PLF has used the Cumulant Method (CM) and Latin Hypercube Sampling (LHS) method. However, traditional CM requires that each input variable be independent of one another, and the Cholesky decomposition adopted by the traditional LHS has limitations in that it is only applicable for positive definite matrices. To solve these problems, taking into account the Q-MCS theory of LHS, this paper proposes a CM PLF algorithm based on improved LHS (ILHS-CM). The cumulants of the input variables are obtained based on sampling results. The probability distribution of the output variables is obtained according to the Gram-Charlier series expansion. Moreover, DGs, such as wind turbines, photovoltaic (PV) arrays, and EVs integrated into the electrical energy distribution networks are comprehensively considered, including correlation analysis and dynamic load flow analysis for EV-coordinated charging. Four scenarios are analyzed based on the IEEE-30 node network, including with/without DGs and EVs, error analysis and performance evaluation of the proposed algorithm, correlation analysis of DGs and EVs, and dynamic load flow analysis with EV integration. The results presented in this paper demonstrate the effectiveness, accuracy, and practicability of the proposed algorithm.

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