Analysis of Power Load Flow for Power Distribution System based on PyPSA Toolbox

Author(s):  
Tipthacha Phongtrakul ◽  
Yuttana Kongjeen ◽  
Krischonme Bhumkittipich
2020 ◽  
Vol 12 (1) ◽  
pp. 70-83
Author(s):  
Shabbiruddin ◽  
Sandeep Chakravorty ◽  
Karma Sonam Sherpa ◽  
Amitava Ray

The selection of power sub-station location and distribution line routing in power systems is one of the important strategic decisions for both private and public sectors. In general, contradictory factors such as availability, and cost, affects the appropriate selection which adheres to vague and inexact data. The work presented in this research deals with the development of models and techniques for planning and operation of power distribution system. The work comprises a wider framework from the siting of a sub-station to load flow analysis. Work done also shows the application of quantum- geographic information system (Q-GIS) in finding load point coordinates and existing sub-station locations. The proposed integrated approach provides realistic and reliable results, and facilitates decision makers to handle multiple contradictory decision perspectives. To accredit the proposed model, it is implemented for power distribution planning in Bihar which consists of 9 divisions. A Cubic Spline Function-based load flow analysis method is developed to validate the proposal.


2017 ◽  
Vol 66 (4) ◽  
pp. 801-814 ◽  
Author(s):  
Christoph Wenge ◽  
Hui Guo ◽  
Christian Roehrig

Abstract Electric vehicles (EVs) can be utilized as mobile storages in a power system. The use of battery chargers can cause current harmonics in the supplied AC system. In order to analyze the impact of different EVs with regardto their number and their emission of current harmonics, a generic harmonic current model of EV types was built and implemented in the power system simulation tool PSS®NETOMAC. Based on the measurement data for different types of EVs three standardized harmonic EV models were developed and parametrized. Further, the identified harmonic models are used by the computation of load flow in a modeled, German power distribution system. As a benchmark, a case scenario was studied regarding a high market penetration of EVs in the year 2030 for Germany. The impact of the EV charging on the power distribution system was analyzed and evaluated with valid power quality standards.


2018 ◽  
Vol 7 (2) ◽  
pp. 61-75
Author(s):  
Shabbir Uddin ◽  
Sandeep Chakravorty ◽  
Karma Sonam Sherpa ◽  
Amitava Ray

This article focuses on the usage and advantage of incorporating Geographical Information System for advancing the power distribution system. Geographical Information System-based electricity distribution system planning strategies are applied to determine optimum routing. Existing and proposed layouts have been drawn using GIS-based software Q-GIS 2.12.3. This software helps attach data with the corresponding geographic. A comparison between the Newton-Raphson load flow study of existing and proposed layouts of distribution systems has been performed to find the technical viability of the proposed route. The information obtained from the power flow study is voltage at each load and the real power flowing in each line. The voltages found by the load flow analysis of existing and proposed layouts are compared to show the voltage increase. The developed system is tested on a 12 bus system substation of Sikkim Manipal Institute of Technology, Sikkim, India.


2021 ◽  
Vol 10 (02) ◽  
Author(s):  
Mohsin Ali Koondhar

This study involves a discussion of power load factors, which are important terms for power systems. The advanced load factor is suited to the power system from the power consumption site to the power station and has been studied for various feeders as Tube well, New Petaro, LMC, OCF-I, OCF-II, Old Petaro and Allama I.I Qazi of 132/11 kV grid station Jamshoro. What needs to be researched is the relatively low load factor; due to the load factor, Hyderabad Power Supply Company faces many problems such as transformer tripping, conductive heat up equipments, breakdown of insulation & reactive power failure, all of which are bad main cause of distribution system. To analyse the load impact on the distribution losses of the 07 feeders on the 132/11 kV gird station during collection & to investigate the power loss caused by load factor, the calculated peak power & minimum load data loss sources at distinct load times. After analysis, it is proved that reducing peak load to minimize peak demand and minimum load during peak period, increase b/w average load during bed period and stabilize the power distribution system to improve load factor and increase unit load factor savings are done.


Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 7857
Author(s):  
Ferdous Al Hossain ◽  
Md. Rokonuzzaman ◽  
Nowshad Amin ◽  
Jianmin Zhang ◽  
Mahmuda Khatun Mishu ◽  
...  

Distributed generation (DG) is gaining importance as electrical energy demand increases. DG is used to decrease power losses, operating costs, and improve voltage stability. Most DG resources have less environmental impact. In a particular region, the sizing and location of DG resources significantly affect the planned DG integrated distribution network (DN). The voltage profiles of the DN will change or even become excessively increased. An enormous DG active power, inserted into an improper node of the distribution network, may bring a larger current greater than the conductor’s maximum value, resulting in an overcurrent distribution network. Therefore, DG sizing and DG location optimization is required for a systematic DG operation to fully exploit distributed energy and achieve mutual energy harmony across existing distribution networks, which creates an economically viable, secure, stable, and dependable power distribution system. DG needs to access the location and capacity for rational planning. The objective function of this paper is to minimize the sum of investment cost, operation cost, and line loss cost utilizing DG access. The probabilistic power flow calculation technique based on the two-point estimation method is chosen for this paper’s load flow computation. The location and size of the DG distribution network are determined using a genetic algorithm in a MATLAB environment. For the optimum solution, the actual power load is estimated using historical data. The proposed system is based on the China distribution system, and the currency is used in Yuan. After DG access, active and reactive power losses are reduced by 53% and 26%, respectively. The line operating cost and the total annual cost are decreased by 53.7% and 12%, respectively.


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