Robust Volt-Var control of a smart distribution system under uncertain voltage-dependent load and renewable production

2022 ◽  
Vol 134 ◽  
pp. 107383
Author(s):  
Mahsa Azarnia ◽  
Morteza Rahimiyan
Keyword(s):  
Distribution System ◽  
Voltage Dependent

Analysis on Load Model for Cost Optimization Using Embedded Meta EP-Firefly Algorithm for DG Installation

2015 ◽  
Vol 793 ◽  
pp. 478-482
Author(s):  
S.R.A. Rahim ◽  
Ismail Musirin ◽  
Muhammad Murtadha Othman ◽  
Muhamad Hatta Hussain
Keyword(s):  
Distributed Generation ◽  
Distribution System ◽  
Firefly Algorithm ◽  
Cost Optimization ◽  
Load Model ◽  
Load Models ◽  
Generation Planning ◽  
Voltage Dependent ◽  
The Cost

This paper presents the analysis on load models for cost optimization for distributed generation planning. The Embedded Meta EP – Firefly Algorithm technique is performed in order to identify the optimal distributed generation sizing. The result obtained show that the proposed technique has an acceptable performance to simulate the data and voltage dependent load models have a significant effect on total losses of a distribution system consequently will affect the cost of the system.

scholarly journals Effect of Voltage Dependent Load Model on Placement and Sizing of Distributed Generator in Large Scale Distribution System

2020 ◽  
Vol 14 (4) ◽  
pp. 97-121
Author(s):  
Gopisetti Manikanta ◽  
Ashish Mani ◽  
Hemender Pal Singh ◽  
Devendra Kumar Chaturvedi
Keyword(s):  
Distribution System ◽  
Large Scale ◽  
Load Model ◽  
Distributed Generator ◽  
Voltage Dependent

scholarly journals Impact of Plug-in Electric Vehicles Integrated into Power Distribution System based on Voltage Dependent Power Flow

2018 ◽  
Author(s):  
Yuttana Kongjeen ◽  
Krischonme Bhumkittipich
Keyword(s):  
Power System ◽  
Electric Vehicles ◽  
Power Distribution ◽  
Distribution System ◽  
Power Flow ◽  
Electrical Power ◽  
Electrical Power System ◽  
Power Distribution System ◽  
Voltage Dependent ◽  
Voltage Deviation

This paper proposes the impact of plug-in electric vehicles integrated into power distribution system based on voltage dependent control. The plug-in electric vehicles was modeled as the static load model in power distribution systems under balanced load condition. The power flow analysis is determined by using the basic parameters of the electrical network. The main point of this study are compare with voltage magnitude profiles, load voltage deviation, and total power losses of the electrical power system. There are investigating the affected from constant power load, constant current load, constant impedance load and plug-in electric vehicles load, respectively. The IEEE 33 bus test system is used to test the proposed method by assigning each load type to a balanced load in steady state and applied the solving methodology based on the bus injection to branch injection matric, branch current to bus voltage matrix, and current injection matrix to solve the power flow problem. The simulation results showed that the plug-in electric vehicles load had the lowest impact compared to other loads. The lowest plug-in values for the electric vehicle loads were 0.062, 119.67 kW and 79.31 kVar for the load voltage deviation, total active power loss and total reactive power loss, respectively. Therefore, this study can be verified that the plug-in electric vehicles load were affected to the lowest of the electrical power system in condition to same sizing and position. So that, in condition to the plug-in electric vehicles load added into the electrical power system with the conventional load type or complex load type could be considered that the affected from the plug-in electric vehicles load in next study.

scholarly journals Effect of Load Model Using Ranking Identification Technique for Multi Type DG Incorporating Embedded Meta EP-Firefly Algorithm

2018 ◽  
Vol 150 ◽  
pp. 01014
Author(s):  
Siti Rafidah Abdul Rahim ◽  
Ismail Musirin ◽  
Muhammad Murtadha Othman ◽  
Muhamad Hatta Hussain
Keyword(s):  
Power System ◽  
Distributed Generation ◽  
Distribution System ◽  
Firefly Algorithm ◽  
Optimal Allocation ◽  
Load Factor ◽  
Load Model ◽  
Load Models ◽  
Voltage Dependent ◽  
Identification Technique

This paper presents the effect of load model prior to the distributed generation (DG) planning in distribution system. In achieving optimal allocation and placement of DG, a ranking identification technique was proposed in order to study the DG planning using pre-developed Embedded Meta Evolutionary Programming–Firefly Algorithm. The aim of this study is to analyze the effect of different type of DG in order to reduce the total losses considering load factor. To realize the effectiveness of the proposed technique, the IEEE 33 bus test systems was utilized as the test specimen. In this study, the proposed techniques were used to determine the DG sizing and the suitable location for DG planning. The results produced are utilized for the optimization process of DG for the benefit of power system operators and planners in the utility. The power system planner can choose the suitable size and location from the result obtained in this study with the appropriate company’s budget. The modeling of voltage dependent loads has been presented and the results show the voltage dependent load models have a significant effect on total losses of a distribution system for different DG type.

Sign in / Sign up

Export Citation Format

Share Document