Optimal placement of distributed generation based on DISCO’s additional benefit using self adaptive levy flight based black widow optimization

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Naga Lakshmi Gubbala Venkata ◽  
Jaya Laxmi Askani ◽  
Venkataramana Veeramsetty
Keyword(s):  
Distributed Generation ◽  
Distribution Network ◽  
Additional Benefit ◽  
Operating Conditions ◽  
Optimal Placement ◽  
Lévy Flight ◽  
Black Widow ◽  
Levy Flight ◽  
Simulation Performance ◽  
Self Adaptive

Abstract Optimal placement of Distributed Generation (DG) is a crucial challenge for Distribution Companies (DISCO’s) to run the distribution network in good operating conditions. Optimal positioning of DG units is an optimization issue where maximization of DISCO’s additional benefit due to the installation of DG units in the network is considered to be an objective function. In this article, the self adaptive levy flight based black widow optimization algorithm is used as an optimization strategy to find the optimum position and size of the DG units. The proposed algorithm is implemented in the IEEE 15 and PG & E 69 bus management systems in the MATLAB environment. Based on the simulation performance, it has been found that with the correct location and size of the DG modules, the distribution network can be run with maximum DISCO’s additional benefit.

Swarm-Intelligence-Based Optimal Placement and Sizing of Distributed Generation in Distribution Network

2018 ◽  
pp. 29-48 ◽  
Author(s):  
Mahesh Kumar ◽  
Perumal Nallagownden ◽  
Irraivan Elamvazuthi ◽  
Pandian Vasant ◽  
Luqman Hakim Rahman
Keyword(s):  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution System ◽  
Voltage Stability ◽  
Reactive Power ◽  
Distribution Network ◽  
Stability Index ◽  
Pso Algorithm ◽  
Distribution Networks ◽  
Optimal Placement

In the distribution system, distributed generation (DG) are getting more important because of the electricity demands, fossil fuel depletion and environment concerns. The placement and sizing of DGs have greatly impact on the voltage stability and losses in the distribution network. In this chapter, a particle swarm optimization (PSO) algorithm has been proposed for optimal placement and sizing of DG to improve voltage stability index in the radial distribution system. The two i.e. active power and combination of active and reactive power types of DGs are proposed to realize the effect of DG integration. A specific analysis has been applied on IEEE 33 bus system radial distribution networks using MATLAB 2015a software.

scholarly journals Optimal Placement and Sizing of Distributed Generation in Distribution System using Analytical Method

2019 ◽  
Vol 8 (4) ◽  
pp. 6357-6363
Keyword(s):  
Distributed Generation ◽  
Distribution System ◽  
Power Loss ◽  
Distribution Network ◽  
Optimal Placement ◽  
Small Scale ◽  
Voltage Profile ◽  
Distribution Grid ◽  
Step Size ◽  
System Power

The reliability of distribution network can be improved with the penetration of small scale distributed generation (DG) unit to the distribution grid. Nevertheless, the location and sizing of the DG in the distribution network have always become a topic of debate. This problem arises as different capacity of DG at various location can affect the performance of the entire system. The main objective of this study is to recommend a suitable size of DG to be placed at the most appropriate location for better voltage profile and minimum power loss. Therefore, this paper presents an analytical approach with a fixed DG step size of 500 kW up to 4500 kW DG to analyses the effect of a single P-type DG in IEEE 33 bus system with consideration of system power loss and voltage profile. Four scenarios have been selected for discussions where Scenario 1: 3500 kW DG placed at node 3; Scenario 2: 2500 kW DG placed at node 6; Scenario 3: 1000 kW DG placed at node 18 and Scenario 4: 3000 kW DG placed at node 7. Results show that all the four scenarios are able to reduce the power loss and improve the voltage profile however Scenario 4 has better performance where it complies with minimum voltage requirement and minimizing the system power loss.

An intelligent protection scheme to mitigate the impact of integrating large share wind energy resources in a weak distribution network

2017 ◽  
Vol 41 (6) ◽  
pp. 383-396 ◽  
Author(s):  
Naser El Naily ◽  
Saad M Saad ◽  
Zakariya Rajab ◽  
Faisal Mohamed
Keyword(s):  
Distributed Generation ◽  
Distribution Network ◽  
Operating Conditions ◽  
Protection System ◽  
System Stability ◽  
Protection Scheme ◽  
System Protection ◽  
Renewable Distributed Generation ◽  
Medium Level ◽  
The Impact

Although integration of wind distributed generation directly into the distribution level has considerable advantages, increased penetration of wind distributed generation (renewable distributed generation) alters the network configuration and jeopardizes the protection system operation and system stability; for this reason, necessary changes in power system protection philosophy must be achieved. Modern numerical relays offer extraordinary features and fast and accurate methods for spotting and detecting different unbalanced operating conditions and can be used to mitigate the influence of integrating wind distributed generation into distribution network. In this study, an adaptive directional negative protective scheme was implemented in the medium-level distribution network to investigate and evaluate the performance of protection system and introduce new adaptive protective scheme based on negative overcurrent protection to increase the selectivity and sensitivity of the protection system in case of unbalanced faulty conditions. The medium-level distribution network of Libya Eastern electric network had been implemented in ETAP software to address and evaluate the efficiency of the proposed approach.

scholarly journals Reliability factor in the design of a distribution network

2021 ◽  
Vol 22 (6) ◽  
pp. 43-54
Author(s):  
F. L. Byk ◽  
Yu. V. Kakosha ◽  
L. S. Myshkina
Keyword(s):  
Power Systems ◽  
Distributed Generation ◽  
Power Supply ◽  
Distribution Network ◽  
Operating Conditions ◽  
Design Stage ◽  
Local Power ◽  
Reliability Factor ◽  
Residential Neighborhood ◽  
Predicted Values

Decision-making at the design stage of the distribution network significantly affects the change in the indices of uninterrupted power supply to consumers. The main ones are SAIDI and SAIFI. There is no methodological support for determining the predicted values of the power supply continuity indices. The purpose of the study is to develop a methodology for calculating the predicted values of indicators of uninterrupted supply during design. A feature of the technique is the account of the circuit-mode changes in the 0.4-10 kV distribution network section. The introduction of the developed methodology into project practice is relevant and expedient. An important point is the accounting of distributed generation, which has a significant impact on the operating conditions of power supply systems. Local power systems based on distribution generation and networks 0,4-10 kv are becoming widespread, which can serve as the basis for distributed energy and energy transition in Russia. Their appearance increases the efficiency of the energy sector, including increasing the power supply reliability. However, difficulties arise in justifying distributed generation power distribution schemes, the feasibility of measures to create local power systems and the effectiveness of their integration without appropriate research and methodological support. The developed methodology is based on the use of statistical processing methods, expert systems, the SAIDI method. It is aimed at medium and low voltage distribution networks. The methodology makes it possible to compare measures taking into account changes in the structural and functional reliability of the distribution network and regime restrictions. Verification of the methodology was carried out on the example of a section of the distribution network of a residential neighborhood. Comparison of the results obtained by the methodology and in the software ETAP, proved the adequacy of the proposed methodology and the reliability of the predicted values obtained SAIDI and SAIFI.

Optimal Placement of Distributed Generation and D-STATCOM in Radial Distribution Network

Smart Science ◽  
2017 ◽  
Vol 6 (2) ◽  
pp. 125-133 ◽  
Author(s):  
Bushra Weqar ◽  
Mohd Tauseef Khan ◽  
Anwar Shahzad Siddiqui
Keyword(s):  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution Network ◽  
Optimal Placement

Locational marginal price computation in radial distribution system using Self Adaptive Levy Flight based JAYA Algorithm and game theory

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Venkataramana Veeramsetty ◽  
Venkaiah Chintham ◽  
Vinod Kumar D.M.
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Emission Reduction ◽  
Jaya Algorithm ◽  
Lévy Flight ◽  
Levy Flight ◽  
Reliability Improvement ◽  
Locational Marginal Price ◽  
Marginal Price ◽  
Self Adaptive

Abstract This study presents a computational approach to compute locational marginal price (LMP) at distributed generation (DG) buses in an electric power distribution system using self-adaptive levy flight based JAYA algorithm and proportional nucleolus theory (PNT). This method provides financial incentive to DG owners based on their contribution in reliability improvement, loss and emission reduction. In this study expected energy not supplied (EENS) is used for measuring the reliability of a given radial distribution network. This method is implemented on 38 bus distribution system under MATLAB environment to compute LMP values at each DG as per its contribution towards reliability improvement, loss reduction and emission reduction. It is found from the study that reliability has been improved, losses and emissions of system were reduced by providing proper financial incentives to DG owners. The proposed method can be utilized by a distribution company (DISCO) to operate network optimally and to estimate state of network.

scholarly journals Impact of Distributed Generation on a Distribution Network Voltage Sags in Baghdad City

2021 ◽  
Vol 39 (4A) ◽  
pp. 528-542
Author(s):  
Ali H. Mohammed ◽  
Suad I. Shahl
Keyword(s):  
Distributed Generation ◽  
Distribution System ◽  
Distribution Network ◽  
Optimal Placement ◽  
System Modelling ◽  
Voltage Sags ◽  
Voltage Profile ◽  
De Algorithm ◽  
Power Loss Reduction ◽  
Real Coded Genetic Algorithm

Voltage sags are considered as one of the most detrimental power quality (PQ) disturbance due to their costly influence on sensitive loads. This paper investigates the voltage sag mitigation in distribution network following the occurrence of a fault. Two software are used in this work; the 1st is MATLAB R2017a for implementation of the Differential Evaluation (DE) algorithm to find the optimal location and size DG and while the 2nd software is CYME 7.1 for the distribution system modelling and analysis. The effectiveness of the proposed method is tested by implementing it on IEEE 33-bus system, and then it is applied to Al-Masbh distribution network in Baghdad city as a case study. The paper aims to enhance voltage profile, power loss reduction, and relieve distribution lines overloading, by optimal placement of distributed generation (DG). The results indicate the efficiency of the proposed method comparing with Real Coded Genetic Algorithm (RCGA).

scholarly journals Distribution Network Reliability and Efficiency Enhancement Using Distributed Generation

2021 ◽  
pp. 55-71
Author(s):  
Raymond Onyeka Nwajuonye ◽  
Innocent Ifeanyi Okonkwo ◽  
Johnpaul I. Iloh
Keyword(s):  
Distributed Generation ◽  
Reactive Power ◽  
Greenhouse Gas Emission ◽  
Distribution Network ◽  
Load Flow ◽  
Optimal Placement ◽  
Voltage Profile ◽  
Power Sector ◽  
Voltage Limit ◽  
Transmission And Distribution

The Nigerian power sector is faced with many challenges such as: generation deficit, inefficiency and power loss over lengthy transmission and distribution lines, contribution to greenhouse gas emission, weak and dilapidated transmission and distribution infrastructure, dependence on fossil fuels, insufficient power. Efforts should be put in place by relevant authorities to improve the power sector. With the distribution network being the closest to the final consumer, efforts should be made to make it more efficient. This study therefore aims at improving the performance of poor distribution network using Distributed Generation (DG), optimally placed and sized in the network.  The Asaba, 2 X 15MVA, 33/11kV injection substation in Asaba, Delta state of Nigeria consisting of Anwai road feeder and SPC feeder radiating outwardly from this injection substation was the focus of this study. Relevant data collected from Benin Electricity Distribution Company (BEDC) was used to carry out load flow study. The simulation and analysis of the result and injection of photovoltaic (PV) DG of Asaba injection substation distribution network using Newton-Raphson iteration technique in ETAP 12.6environment to ascertain the overall performance of the network under base loading condition was modelled from a drawn detailed single line diagram of the network. DGs were optimally placed in specific buses in the network using loss sensitivity analysis. The result revealed that prior to DG placement in the network, only 10.4% of the buses were within statutory voltage limit (394.25V – 435.75V or 0.95p.u – 1.05p.u) and 89.6% of the load buses in the network violated the statutory voltage limit and high losses (active and reactive) of 1329.08kW and 2031kVar. After the optimal placement of DG, the active and reactive power losses on the network reduced by 57.5% and 70.7%. While the voltage profile improved by 94.8%, thereby increasing the capacity, reliability and efficiency of distribution network.  

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