Optimal siting of solar based distributed generation (DG) in distribution system for constant power load model

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Prem Prakash ◽  
Duli Chand Meena
Keyword(s):  
Distributed Generation ◽  
Solar Irradiance ◽  
Distribution System ◽  
Optimal Size ◽  
Solar Photovoltaic ◽  
Solar Insolation ◽  
Load Model ◽  
Optimal Capacity ◽  
Power Load ◽  
Constant Power Load

Abstract In this paper optimal location and sizing of Non-dispatchable Distributed Generation (NDG) based distributed generation (DG) is investigated by considering uncertainty of NDG. In present study a solar photovoltaic (SPV) is considered as NDG because SPV based DG has uncertain nature of generated power because it is powered by solar irradiance which has uncertain characteristics. To investigate the uncertainty of intermittent nature of solar irradiance Beta Probability Density Function (BPDF) based PDF is considered for addressing the uncertainty of solar insolation. For determining the optimal size of DG unit an analytical based methodology is developed. In this study optimal capacity of NDG is estimated by deriving the expressions of DG unit at each bus. Further, a multi-objective index factor (MIF) is designed in order to find out the candidate bus for DG placement. The proposed technique is applied on IEEE 33-bus distribution network. The obtained results reveal that proposed technique provide almost similar result to that of other method which is available in literature.

scholarly journals Power Quality Enhancement by Integrating Distributed Generation in Distribution System

2018 ◽  
Vol 7 (4.24) ◽  
pp. 167
Author(s):  
Mr. Rajesh Kumar Samala ◽  
Dr. K Mercy Rosalina
Keyword(s):  
Power Quality ◽  
Distributed Generation ◽  
Distribution System ◽  
Power Loss ◽  
Bat Algorithm ◽  
Optimal Placement ◽  
Optimal Size ◽  
Voltage Profile ◽  
Real Power ◽  
Optimal Capacity

This research is to enhance the quality of power by reduce real power loss in distribution system and enables voltage profile enhancement at each bus. This will achieve by integrating Distributed Generation (DG) in optimal place with suitable size. In order to overcome the disadvantage of sluggish convergence of conventional algorithms the BAT Algorithm (BA) is used. In this paper the week buses are finding by using Backward/Forward (BW/FW) sweep approach based on real power loss. Later by using BA approach determination of optimal capacity and location will be done. This optimal size and location will leads to great minimization in real power loss and improvement of voltage at each bus. In this research the wind energy and Photo Voltaic (PV) energies are consider as DGs. This research is to determine the advantage of the proposed analysis on IEEE-69 radial bus using MATLAB software. The results were evaluated with the GSA approach existing in literature. Finally simulation outcomes prove that the proposed approach performance is superior in enhancing the power quality by optimal placement of DG and capacity of the DG.

Power Flow Calculation in Distribution System Considering Different Load Model

2013 ◽  
Vol 722 ◽  
pp. 103-106 ◽  
Author(s):  
Tian Shu ◽  
Wang Li
Keyword(s):  
Power Flow ◽  
Simulation Software ◽  
Constant Current ◽  
Power Flow Calculation ◽  
Constant Power ◽  
Flow Calculation ◽  
Load Model ◽  
Load Models ◽  
Power Load ◽  
Constant Power Load

In traditional power flow calculation used constant power load model, it was completely unreasonable to assume that all load nodes in power system can be classified as PQ nodes.In that the result of constant power load model does not accurately reflect the distribution characteristics of network power flow. To put forward power flow calculation considering load models ,such as constant power load ,constant current load and constant resistance load, derives error equations of the node power, calculates element of Jacobian matrix. So, by using MATLAB simulation software ,the program for power flow are presented, which based on the method of different load models, taking 21-node system for example and makes comparative calculations. The research shows that power flow calculation considering different load models can get more reasonable solution.

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 Recloser-Fuse settings in distribution systems with optimizing multiple distributed generation considering technical aspects

2020 ◽  
Vol 17 (3) ◽  
pp. 1135
Author(s):  
Ahmed Mohamed Abdelbaset ◽  
AboulFotouh A. Mohamed ◽  
Essam Abou El-Zahab ◽  
M. A. Moustafa Hassan
Keyword(s):  
Distributed Generation ◽  
Distribution System ◽  
Power Loss ◽  
Distribution Systems ◽  
Test System ◽  
Optimal Size ◽  
Loss Reduction ◽  
Voltage Profile ◽  
Power Loss Reduction ◽  
System Power

<p><span>With the widespread of using distributed generation, the connection of DGs in the distribution system causes miscoordination between protective devices. This paper introduces the problems associated with recloser fuse miscoordination (RFM) in the presence of single and multiple DG in a radial distribution system. Two Multi objective optimization problems are presented. The first is based on technical impacts to determine the optimal size and location of DG considering system power loss reduction and enhancement the voltage profile with a certain constraints and the second is used for minimizing the operating time of all fuses and recloser with obtaining the optimum settings of fuse recloser coordination characteristics. Whale Optimizer algorithm (WOA) emulated RFM as an optimization problem. The performance of the proposed methodology is applied to the standard IEEE 33 node test system. The results show the robustness of the proposed algorithm for solving the RFM problem with achieving system power loss reduction and voltage profile enhancement.</span></p>

Multi-objective optimal planning of fast charging stations by considering various load models in distribution system

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Gurappa Battapothula ◽  
Chandrasekhar Yammani ◽  
Sydulu Maheswarapu
Keyword(s):  
Distribution System ◽  
Constant Current ◽  
Constant Power ◽  
Multi Objective ◽  
Load Models ◽  
Power Load ◽  
Fast Charging ◽  
Charging Stations ◽  
Constant Power Load ◽  
The Impact

Abstract Electric vehicles (EVs) load and its charging methodologies play a significant role in distribution system planning. The inaccurate modelling of EV load may overload the distribution system components, increase in Network Power Loss (NPL) and Maximum Voltage Deviation (MVD). The Constant Power (CP) load model is more popularly used to model both the conventional and EV loads in the distribution system. But the CP load modelling cannot provide accurate information of EV charging process. In this paper, the EV load is modelled as constant Impedance-constant Current-constant Power (ZIP), Exponential, Constant Current and Constant Power load models and the conventional loads are modelled as Residential–Industrial–Commercial (RIC) and Constant Power load models. With these EV and conventional load models, the optimal site and size of Fast Charging Stations (FCSs) in the distribution system have been determined. Further, to analyse the impact of load of FCSs in the distribution system, the distribution indices are calculated. The multi-objective hybrid SFL-TLBO algorithm has been used to determine the optimal location and size FCSs with the minimization of NPL, MVD and EV User Cost (EVUC) in the distribution system. To consider the uncertainty of the initial SOC of EVs, the Monte-Carlo simulation technique has been used. These studies have been carried out on 38-bus distribution system and substantiate results are presented.

A Heuristic Approach for Optimal Location and Sizing of Multiple DGs in Radial Distribution System

2014 ◽  
Vol 626 ◽  
pp. 227-233 ◽  
Author(s):  
R.M. Sasiraja ◽  
V. Suresh Kumar ◽  
S. Sudha
Keyword(s):  
Power Systems ◽  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution System ◽  
Optimal Placement ◽  
Small Scale ◽  
Optimal Size ◽  
Integrated Network ◽  
Radial Distribution System

A distribution system is known as an interface between the central power system and its consumers. DGs are defined as small scale generation units that are connected near to customer load centres. DGs have the potential of altering power flows, system voltages, and even the performance of the integrated network. With the principle of minimizing line losses in the power systems, it is remarkably imperative to define the optimal size and location of local generations. This paper proposes Genetic Algorithm (GA) for optimal placement and sizing of distributed generation (DG) in radial distribution system by minimizing the real power loss and thus improving the voltage shape. The developed algorithm is tested on 33-bus radial distribution system. The proposed method has outperformed than the other methods in terms of the quality of solution and computational competence.

scholarly journals Continuous domain ant colony optimization for distributed generation placement and losses minimization

2020 ◽  
Vol 9 (2) ◽  
pp. 261
Author(s):  
Zulkiffli Abdul Hamid ◽  
Ismail Musirin ◽  
Ammar Yasier Azman ◽  
Muhammad Murtadha Othman
Keyword(s):  
Ant Colony Optimization ◽  
Distributed Generation ◽  
Distribution System ◽  
Power Loss ◽  
Test System ◽  
Ant Colony ◽  
Optimal Size ◽  
Voltage Profile ◽  
Radial Distribution System ◽  
Continuous Domain

This paper proposes a method for distributed generation (DG) placement in distribution system for losses minimization and voltage profile improvement. An IEEE 33-bus radial distribution system is used as the test system for the placement of DG. To facilitate the sizing of DG capacity, a meta-heuristic algorithm known as Continuous Domain Ant Colony Optimization (ACO<sub>R</sub>) is implemented. The ACO<sub>R</sub> is a modified version of the traditional ACO which was developed specially for solving continuous domain optimization problem like sizing a set of variables. The objective of this paper is to determine the optimal size and location of DG for power loss minimization and voltage profile mitigation. Three case studies were conducted for the purpose of verification. It was observed that the proposed technique is able to give satisfactory results of real power loss and voltage profile at post-optimization condition. Experiment under various loadings of the test system further justifies the objective of the study.

Optimum Allocation of Distributed Generation Based on Nodal Pricing for Profit and Social Welfare Maximization

2013 ◽  
Vol 768 ◽  
pp. 364-370
Author(s):  
Bishnupriya Biswal ◽  
D. Sattianadan ◽  
M. Sudhakaran ◽  
Subhransu Sekhar Dash
Keyword(s):  
Social Welfare ◽  
Distributed Generation ◽  
Distribution System ◽  
Distribution Network ◽  
Optimal Size ◽  
For Profit ◽  
Welfare Maximization ◽  
Social Welfare Maximization ◽  
Network Losses ◽  
Nodal Pricing

This paper presents a method using nodal pricing for optimal allocating distribution generations (DG) for profit maximization, reduction of loss in distribution network along with social welfare maximization. Inclusion of distributed generation (DG) resources in power system changes the power flows and the magnitude of network losses at the distribution side. A detailed analysis has been simulated in MATLAB with 33 bus distribution system. The Genetic algorithm optimization is used in this work to find optimal location and size of DG in radial distribution system. Applying nodal pricing to a model distribution network, it shows significant price differences between buses reflecting high marginal losses and by finding optimal size of DG maximizes the profit of distribution companies that use DG in their networks for obtaining multiple benefits.

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