Comparative Analysis of Load Flows and Voltage-Dependent Load Modeling Methods of Distribution Networks

2021 ◽  
pp. 467-483
Author(s):  
U. Kamal Kumar ◽  
Varaprasad Janamala
Keyword(s):  
Comparative Analysis ◽  
Distribution Networks ◽  
Load Modeling ◽  
Modeling Methods ◽  
Voltage Dependent

Big Data Storage for the Modeling of Historical Time Series Solar Irradiations

2018 ◽  
pp. 433-463
Author(s):  
Abid Ali ◽  
Nursyarizal Mohd Nor ◽  
Taib Ibrahim ◽  
Mohd Fakhizan Romlie ◽  
Kishore Bingi
Keyword(s):  
Big Data ◽  
Energy Loss ◽  
Data Analytics ◽  
Optimization Problem ◽  
Big Data Analytics ◽  
Distribution Networks ◽  
Data Sets ◽  
Voltage Dependent ◽  
Loss Index ◽  
Bus Voltage

This chapter proposes Big Data Analytics for the sizing and locating of solar photovoltaic farms to reduce the total energy loss in distribution networks. The Big Data Analytics, which uses the advance statistical and computational tools for the handling of large data sets, has been adopted for modeling the 15 years of solar weather data. Total Power Loss Index (TPLI) is formulated as the main objective function for the optimization problem and meanwhile bus voltage deviations and penetrations of the PV farms are calculated. To solve the optimization problem, this study adopts the Mixed Integer Optimization using Genetic Algorithm (MIOGA) technique. By considering different time varying voltage dependent load models, the proposed algorithm is applied on IEEE 33 bus and IEEE 69 bus test distribution networks and optimum results are acquired. From the results, it is revealed that compared to single PV farm, the integration of two PV farms reduced more energy loss and reduced the total size of PV farms. Big Data Analytics is found very effective for the storing, handling, processing and the visualizing of the weather Big Data.

Sizing and Placement of Battery-Sourced Solar Photovoltaic (B-SSPV) Plants in Distribution Networks

2021 ◽  
pp. 1123-1154
Author(s):  
Abid Ali ◽  
Nursyarizal Mohd Nor ◽  
Taib Ibrahim ◽  
Mohd Fakhizan Romlie ◽  
Kishore Bingi
Keyword(s):  
Total Energy ◽  
Distribution Networks ◽  
Mixed Integer ◽  
Weather Data ◽  
Solar Photovoltaic ◽  
Integer Optimization ◽  
Battery Storage ◽  
Voltage Dependent ◽  
Loss Index ◽  
Bus Voltage

This chapter proposes a mixed-integer optimization using genetic algorithm (MIOGA) for determining the optimum sizes and placements of battery-sourced solar photovoltaic (B-SSPV) plants to reduce the total energy losses in distribution networks. Total energy loss index (TELI) is formulated as the main objective function and meanwhile bus voltage deviations and PV penetrations of B-SSPV plants are calculated. To deal the stochastic behavior of solar irradiance, 15 years of weather data is modeled by using beta probability density function (Beta-PDF). The proposed algorithm is applied on IEEE 33 bus and IEEE 69 bus test distribution networks and optimum results are acquired for different time varying voltage dependent load models. From the results, it is known that, compared to PV only, the integration of B-SSPV plants in the distribution networks resulted in higher penetration levels in distribution networks. The proposed algorithm was very effective in terms of determining the sizes of the PV plant and the battery storage, and for the charging and discharging of the battery storage.

Load modeling of active low‐voltage consumers and comparative analysis of their impact on distribution system expansion planning

2019 ◽  
Vol 29 (8) ◽  
Author(s):  
Nelson Knak Neto ◽  
Alzenira da Rosa Abaide ◽  
Vladimiro Miranda ◽  
Phillipe Vilaça Gomes ◽  
Leonel Carvalho ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Distribution System ◽  
Low Voltage ◽  
System Expansion ◽  
Load Modeling ◽  
Expansion Planning

Comparative Analysis of Different Cost Loss Allocation Methodologies in Distribution Networks with Distributed Generation

2005 ◽  
Vol 3 (3) ◽  
pp. 290-295 ◽  
Author(s):  
P.M. De Oliveira-De Jesus ◽  
M.T. Ponce de Leao
Keyword(s):  
Comparative Analysis ◽  
Distributed Generation ◽  
Distribution Networks ◽  
Loss Allocation

Statistical Charging Load Modeling of PHEVs in Electricity Distribution Networks Using National Travel Survey Data

2012 ◽  
Vol 3 (4) ◽  
pp. 1650-1659 ◽  
Author(s):  
A. Rautiainen ◽  
S. Repo ◽  
P. Jarventausta ◽  
A. Mutanen ◽  
K. Vuorilehto ◽  
...  
Keyword(s):  
Survey Data ◽  
Distribution Networks ◽  
Electricity Distribution ◽  
Load Modeling ◽  
Travel Survey ◽  
National Travel Survey
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