Different Loading of Distributed Generation on IEEE 14-Bus Test System to Find Out the Optimum Size of DG to Allocation in Transmission Network

2020 ◽  
pp. 85-98
Author(s):  
Rakesh Bhadani ◽  
K. C. Roy
Keyword(s):  
Distributed Generation ◽  
Test System ◽  
Transmission Network ◽  
Optimum Size

Application of Immune Log-Normal Evolutionary Programming in Distributed Generation Installation

2017 ◽  
Vol 6 (3) ◽  
pp. 730
Author(s):  
M. H. Mansor ◽  
I. Musirin ◽  
M. M. Othman ◽  
S. A. Shaaya ◽  
S. A. Syed Mustaffa
Keyword(s):  
Power System ◽  
Distributed Generation ◽  
Evolutionary Programming ◽  
Test System ◽  
Optimal Location ◽  
Total System ◽  
Transmission Network ◽  
Artificial Immune ◽  
A New Technique ◽  
Log Normal

<p>Nowadays, the location and sizing of distributed generation (DG) units in power system network are crucial to be at optimal as it will affect the power system operation in terms of stability and security. In this paper, a new technique termed as Immune Log-Normal Evolutionary Programming (ILNEP) is applied to find the optimal location and size of distributed generation units in power system network. Voltage stability is considered in solving this problem. The proposed technique has been tested on the IEEE 26 bus Reliability Test System to find the optimal location and size of distributed generation in transmission network. In order to study the performance of ILNEP technique in solving DG Installation problem, the results produced by ILNEP were compared with other meta-heuristic techniques like evolutionary programming (EP) and artificial immune system (AIS). It is found that the proposed technique gives better solution in term of lower total system loss compared to the other two techniques.<em></em></p>

Transmission Network Expansion Planning Considering Optimal Allocation of Series Capacitive Compensation and Active Power Losses

2021 ◽  
Vol 12 (1) ◽  
pp. 388
Author(s):  
Dany H. Huanca ◽  
Luis A. Gallego ◽  
Jesús M. López-Lezama
Keyword(s):  
Genetic Algorithm ◽  
Test System ◽  
Active Power ◽  
Mixed Integer ◽  
Planning Problem ◽  
Transmission Network ◽  
Power Losses ◽  
Network Expansion ◽  
Expansion Planning ◽  
Active Power Losses

This paper presents a modeling and solution approach to the static and multistage transmission network expansion planning problem considering series capacitive compensation and active power losses. The transmission network expansion planning is formulated as a mixed integer nonlinear programming problem and solved through a highly efficient genetic algorithm. Furthermore, the Villasana Garver’s constructive heuristic algorithm is implemented to render the configurations of the genetic algorithm feasible. The installation of series capacitive compensation devices is carried out with the aim of modifying the reactance of the original circuit. The linearization of active power losses is done through piecewise linear functions. The proposed model was implemented in C++ language programming. To show the applicability and effectiveness of the proposed methodology several tests are performed on the 6-bus Garver system, the IEEE 24-bus test system, and the South Brazilian 46-bus test system, presenting costs reductions in their multi-stage expansion planning of 7.4%, 4.65% and 1.74%, respectively.

Performance of Distributed Generation (DG) towards Dynamic Voltage Restorer (DVR) in Mitigating Voltage Dips

2015 ◽  
Vol 793 ◽  
pp. 3-8
Author(s):  
Melaty Amirruddin ◽  
Muhd Hafizi Idris ◽  
A.H. Hana ◽  
N.S. Noorpi ◽  
O. Mardianaliza ◽  
...  
Keyword(s):  
Distributed Generation ◽  
Computer Aided Design ◽  
Test System ◽  
Dynamic Voltage Restorer ◽  
Ground Fault ◽  
Voltage Restorer ◽  
Computer Aided ◽  
Voltage Dips ◽  
Dynamic Voltage ◽  
Aided Design

This article presents the performance of Distributed Generation (DG) towards Dynamic Voltage Restorer (DVR) in mitigating voltage dips. An investigation was conducted to explore the effect of DG with the test system and the results will be analyzed during line to ground fault with DVR contains DG and without DG. The percentages of the voltage dips that occur will be compared between all the test systems. From this analysis of voltage dips percentage, the effectiveness of the DG towards DVR in mitigating voltage dips can be obtained clearly. The simulation of the test system will be done using Power System Computer Aided Design (PSCAD) software.

Impact of Distributed Generation on the Fault Current in Power Distribution System

2017 ◽  
Vol 6 (2) ◽  
pp. 357
Author(s):  
Zuhaila Mat Yasin ◽  
Izni Nadhirah Sam’ón ◽  
Norziana Aminudin ◽  
Nur Ashida Salim ◽  
Hasmaini Mohamad
Keyword(s):  
Power System ◽  
Distributed Generation ◽  
Power Distribution ◽  
Distribution System ◽  
Test System ◽  
Optimal Location ◽  
Fault Current ◽  
Double Line ◽  
Power Distribution System ◽  
The Impact

<p>Monitoring fault current is very important in power system protection. Therefore, the impact of installing Distributed Generation (DG) on the fault current is investigated in this paper. Three types of fault currents which are single line-to-ground, double line-to-ground and three phase fault are analyzed at various fault locations. The optimal location of DG was identified heuristically using power system simulation program for planning, design and analysis of distribution system (PSS/Adept). The simulation was conducted by observing the power losses of the test system by installing DG at each load buses. Bus with minimum power loss was chosen as the optimal location of DG. In order to study the impact of DG to the fault current, various locations and sizes of DG were also selected. The simulations were conducted on IEEE 33-bus distribution test system and IEEE 69-bus distribution test system. The results showed that the impact of DG to the fault current is significant especially when fault occurs at busses near to DG location.</p>

scholarly journals Improved Multiobjective Harmony Search Algorithm with Application to Placement and Sizing of Distributed Generation

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Wanxing Sheng ◽  
Ke-yan Liu ◽  
Yunhua Li ◽  
Yuan Liu ◽  
Xiaoli Meng
Keyword(s):  
Distributed Generation ◽  
Search Algorithm ◽  
Harmony Search ◽  
Engineering Application ◽  
Test System ◽  
Harmony Search Algorithm ◽  
Optimal Placement ◽  
The Novel ◽  
Nsga Ii ◽  
Intelligent Optimization Algorithm

To solve the comprehensive multiobjective optimization problem, this study proposes an improved metaheuristic searching algorithm with combination of harmony search and the fast nondominated sorting approach. This is a kind of the novel intelligent optimization algorithm for multiobjective harmony search (MOHS). The detailed description and the algorithm formulating are discussed. Taking the optimal placement and sizing issue of distributed generation (DG) in distributed power system as one example, the solving procedure of the proposed method is given. Simulation result on modified IEEE 33-bus test system and comparison with NSGA-II algorithm has proved that the proposed MOHS can get promising results for engineering application.

Reactive Power Compensation of the Distribution Power System with Distributed Generation Using Improved Tabu Search Algorithm

2013 ◽  
Vol 765-767 ◽  
pp. 2503-2508
Author(s):  
Xiang Lei ◽  
Yan Li ◽  
Shao Rong Wang ◽  
Hong Zhao ◽  
Fen Zhou ◽  
...  
Keyword(s):  
Tabu Search ◽  
Distributed Generation ◽  
Power Loss ◽  
Cost Allocation ◽  
Reactive Power ◽  
Search Algorithm ◽  
Test System ◽  
Local Optimum ◽  
Tabu Search Algorithm ◽  
Optimal Position

Taking account of the mutual impacts of distributed generation and reactive power, to determine the optimal position and capacity of the compensation device to be installed, the paper proposed an improved Tabu search algorithm for reactive power optimization. The voltage quality is considered of the model using minimum network active power loss as objective Function. It is achieved by maintaining the whole system power loss as minimum thereby reducing cost allocation. On the basis of general Tabu search algorithm, the algorithm used memory guidance search strategy to focus on searching for a local optimum value, avoid a global search blindness. To deal with the neighborhood solution set properly and save algorithm storage space , some corresponding improvements are made, thus, it is easily to stop the iteration of partial optimization and it is more probable to achieve the global optimization by use of the improved algorithm. Simulations are carried out on standard IEEE 33 test system and results are presented.

scholarly journals A Multi-Objective Hybrid Genetic Algorithm for Sizing and Siting of Renewable Distributed Generation

2021 ◽  
Vol 11 (16) ◽  
pp. 7442
Author(s):  
Paulo S. Zanin ◽  
Lina Paola Garcés Negrete ◽  
Gelson A. A. Brigatto ◽  
Jesús M. López-Lezama
Keyword(s):  
Genetic Algorithm ◽  
Distributed Generation ◽  
Distribution System ◽  
Hybrid Genetic Algorithm ◽  
Test System ◽  
Environmental Benefits ◽  
New Paradigm ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm ◽  
Pareto Sets

Renewable generation has been addressed in several aspects but it still represents a new paradigm for the expansion of the electricity supply. This paper aims to propose a new model for the sizing and siting problem of distributed generation (DG), based on renewable sources and considering three main aspects: technical, from the distribution utility viewpoint; economical, from the DG owner’s viewpoint, and environmental, from a sustainability perspective. A multi-objective Genetic Algorithm and the Maximin metric are implemented to obtain optimal Pareto sets; also, three decision criteria, considering the concept of preference, are applied to select a final solution from Pareto sets. Case-studies are carried out in medium voltage systems: the 69-bus distribution test system, known from literature, and a 918-bus Brazilian distribution system. Diversity of alternatives in the obtained Pareto sets testify algorithm effectiveness in searching for solutions to the distributed generation sizing and siting problem, in order to ensure power loss reductions, investment return, and environmental benefits. The proposed methodology contributes to the discussions and perspectives among electricity utilities, DG owners, society, and regulators regarding planning and decision making tools.

scholarly journals Enhanced sunflower optimization for placement distributed generation in distribution system

2021 ◽  
Vol 11 (1) ◽  
pp. 107
Author(s):  
Thuan Thanh Nguyen
Keyword(s):  
Distributed Generation ◽  
Distribution System ◽  
Power Loss ◽  
Optimization Problem ◽  
Test System ◽  
Loss Reduction ◽  
Power Loss Reduction ◽  
Distribution Generation

Installation of distribution generation (DG) in the distribution system gains many technical benefits. To obtain more benefits, the location and size of DG must be selected with the appropriate values. This paper presents a method for optimizing location and size of DG in the distribution system based on enhanced sunflower optimization (ESFO) to minimize power loss of the system. In which, based on the operational mechanisms of the original sunflower optimization (SFO), a mutation technique is added for updating the best plant. The calculated results on the 33 nodes test system have shown that ESFO has proficiency for determining the best location and size of DG with higher quality than SFO. The compared results with the previous methods have also shown that ESFO outperforms to other methods in term of power loss reduction. As a result, ESFO is a reliable approach for the DG optimization problem.

scholarly journals Integrated monte carlo-evolutionary programming technique for distributed generation studies in distribution system

2019 ◽  
Vol 8 (3) ◽  
pp. 978-984
Author(s):  
Nur Ainna Shakinah Abas ◽  
Ismail Musirin ◽  
Shahrizal Jelani ◽  
Mohd Helmi Mansor ◽  
Naeem M. S. Honnoon ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Distributed Generation ◽  
Distribution System ◽  
Optimization Technique ◽  
Evolutionary Programming ◽  
Test System ◽  
Voltage Profile ◽  
Power Losses ◽  
Programming Technique ◽  
Distributed Generations

This paper presents the optimal multiple distributed generations (MDGs) installation for improving the voltage profile and minimizing power losses of distribution system using the integrated monte-carlo evolutionary programming (EP). EP was used as the optimization technique while monte carlo simulation is used to find the random number of locations of MDGs. This involved the testing of the proposed technique on IEEE 69-bus distribution test system. It is found that the proposed approach successfully solved the MDGs installation problem by reducing the power losses and improving the minimum voltage of the distribution system.

scholarly journals Photovoltaic-integrated review and expansion need in green building landscape for bridging the malaysian RE policy

2020 ◽  
Vol 17 (1) ◽  
pp. 27 ◽  
Author(s):  
Mohd Effendi Amran ◽  
Mohd Nabil Muhtazaruddin ◽  
Nurul Aini Bani ◽  
Sharipah Alwiah Syed Abd Rahaman ◽  
Nelidya Md Yusoff ◽  
...  
Keyword(s):  
Distributed Generation ◽  
Green Building ◽  
Research Direction ◽  
Test System ◽  
Assessment Criteria ◽  
Loss Reduction ◽  
Integration Approach ◽  
Power Loss Reduction ◽  
The Government ◽  
Installed Capacity

A literature review is presented specifically on the photovoltaic (PV) as a distributed generation (DG) integration approach and the extensiveness through renewable energy (RE) assessment criteria in current green building rating system (GBRS) to: delineate for further classification in terms of installed-capacity; identify the RE applications’ intent / aim; and recommendation for PV-type DG (PV-DG) expansion needs. The paper aims to close the gap in knowledge, by an empirical review of current RE assessment criteria and to portray the expected evolution of RE for higher installed-capacity in ensuring the government key achievement can be achieved. In considering the expansion needs in GBRS, the optimal technique for PV-DG expansion-limit would serve as a conceptual bridge between expanding mechanism and realization of the Malaysian most recent RE policy specifically on the drastically increment of RE quota. These can be achieved since various DG optimization case studies have been presented and overcome with the improvement impact on the test system, in term of power loss reduction, increased efficiency and optimal cost outcome. Future analysis as well as research direction are proposed and linked with some of the previous optimization reviews in recent literature.

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