Three Phase Power Flow for Weakly Meshed Distribution Network with Distributed Generation

Author(s):  
Ming Ding ◽  
Xuefeng Guo ◽  
Zhengkai Zhang
Author(s):  
Suyanto Suyanto ◽  
Citra Rahmadhani ◽  
Ontoseno Penangsang ◽  
Adi Soeprijanto

<p>Unbalanced three-phase radial distribution system has a complex problem in power system. It has many branches and it is sometimes voltage profile’s not stable at every end branches. For improvement of voltage profile, it can be performed by penetrating of a distributed generation models. Information of voltage profile can be gained by study of power flow.  The Modified Backward-Forward is one of the most widely used methods of development of power flow and has been extensively used for voltage profile analysis. In this paper, a study of power flow based on the Modified Backward-Forward method was used to capture the complexities of unbalanced three phase radial distribution system in the 20 kV distribution network in North Surabaya city, East Java, Indonesia within considering distributed generation models. In summary, for the informants in this study, the Modified Backward-Forward method has had quickly convergence and it’s just needed 3 to 5 iteration of power flow simulation which’s compared to other power flow development methods. Distributed Generation models in the modified the modified 34 BUS IEEE system and 20 kV distribution network has gained voltage profile value on limited range. One of the more significant findings to emerge from this development is that the Modified Backward-Forward method has average of error voltage about 0.0017 % to 0.1749%.</p>


Author(s):  
Suyanto Suyanto ◽  
Citra Rahmadhani ◽  
Ontoseno Penangsang ◽  
Adi Soeprijanto

<p>Unbalanced three-phase radial distribution system has a complex problem in power system. It has many branches and it is sometimes voltage profile’s not stable at every end branches. For improvement of voltage profile, it can be performed by penetrating of a distributed generation models. Information of voltage profile can be gained by study of power flow.  The Modified Backward-Forward is one of the most widely used methods of development of power flow and has been extensively used for voltage profile analysis. In this paper, a study of power flow based on the Modified Backward-Forward method was used to capture the complexities of unbalanced three phase radial distribution system in the 20 kV distribution network in North Surabaya city, East Java, Indonesia within considering distributed generation models. In summary, for the informants in this study, the Modified Backward-Forward method has had quickly convergence and it’s just needed 3 to 5 iteration of power flow simulation which’s compared to other power flow development methods. Distributed Generation models in the modified the modified 34 BUS IEEE system and 20 kV distribution network has gained voltage profile value on limited range. One of the more significant findings to emerge from this development is that the Modified Backward-Forward method has average of error voltage about 0.0017 % to 0.1749%.</p>


2004 ◽  
Vol 32 (4) ◽  
pp. 421-433 ◽  
Author(s):  
R. RANJAN ◽  
B. VENKATESH ◽  
A. CHATURVEDI ◽  
D. DAS

2014 ◽  
Vol 484-485 ◽  
pp. 655-659
Author(s):  
Jing Wen Xu

In the planning and operation of distribution network, flow calculation and optimal flow is the hot issue for many experts and scholars to study. In network reconfiguration, service restoration and capacitor configuration, it needs hundreds even thousands times of power flow calculation. So it is very important to propose a suitable optimization algorithm. Based on the three-phase model we proposed hybrid particle swarm algorithm to calculate the three-phase power flow. The method uses the superposition principle. The distribution network is divided into two network models, one is the pure radial network without cyclic structure, and another is the pure cyclic network without radiation structure. We do iterative calculation respectively using hybrid particle algorithm, getting the calculation results. The hybrid algorithm is a new reference for the future optimization of power flow calculation in this paper.


2014 ◽  
Vol 668-669 ◽  
pp. 749-752 ◽  
Author(s):  
Xiao Yi Zhou ◽  
Ling Yun Wang ◽  
Wen Yue Liang ◽  
Li Zhou

Distributed generation (DG) has an important influence on the voltage of active distribution networks. A unidirectional power distribution network will be transformed into a bidirectional, multiple power supply distribution network after DGs access to the distribution network and the direction of power flow is also changed. Considering the traditional forward and backward substitution algorithm can only deal with the equilibrium node and PQ nodes, so the other types of DGs should be transformed into PQ nodes, then its impact on active distribution network can be analyzed via the forward and backward substitution algorithm. In this paper, the characteristics of active distribution networks are analyzed firstly and a novel approach is proposed to convert PI nodes into PQ nodes. Finally, a novel forward and backward substitution algorithm is adopted to calculate the power flow of the active distribution network with DGs. Extensive validation of IEEE 18 and 33 nodes distribution system indicates that this method is feasible. Numerical results show that when DG is accessed to the appropriate location with proper capacity, it has a significant capability to support the voltages level of distribution system.


2011 ◽  
Vol 71-78 ◽  
pp. 2470-2474
Author(s):  
Zhen Li ◽  
Cai Hong Zhao ◽  
Cheng Fei Ma

Firstly, the present paper makes a brief introduction to types of the distributed power and the processing mode of PV node in the electricity grid; secondly, the forward and backward substitution method to calculate the power flow has been improved and used to analyze some examples; thirdly and most importantly, taking the multi-node distribution network which incorporates distributed generation (DG) as an example, the author analyzes the influences of DG on load flow distribution and network loss in different positions, capacities and power factors.


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