scholarly journals Optimal integration of capacitor and PV in distribution network based on nomadic people optimizer

2021 ◽  
Vol 23 (3) ◽  
pp. 1237
Author(s):  
Hussein Abdel-Mawgoud ◽  
Salah Kamel ◽  
Sinan Q. Salih ◽  
Ali S. Alghamdi
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Distribution Network ◽  
Distribution Networks ◽  
Sensitivity Factor ◽  
Radial Distribution System ◽  
Optimal Integration ◽  
Simultaneous Integration ◽  
Nomadic People

<span>Since the last decades, capacitor and photovoltaics (PV) are installed in distribution networks to meet the increasing in system loads. In this paper, a new application of nomadic people optimizer (NPO) algorithm is proposed to obtain the best locations and sizes of capacitor and PV alone or simultaneously in radial distribution system (RDS). Also, reactive loss sensitivity factor (QLSF) can be used for obtaining the candidate locations for installing PV and capacitor units in RDS. The efficiency of the presented technique can be applied on IEEE 69-bus and IEEE 33-bus RDS. From simulation result, installing capacitor and PV units alone in RDS decreases the total losses and increases the bus voltages. Also, simultaneous integration of PV and capacitor units give better results than integration capacitor and PV units alone in distribution network. The presented algorithm is able to explore most area of search and obtain better results than recent optimizations algorithms.</span>

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 planning of RDGs in electrical distribution networks using hybrid SAPSO algorithm

2020 ◽  
Vol 10 (6) ◽  
pp. 6153
Author(s):  
Mohammed Hamouda Ali ◽  
Mohammed Mehanna ◽  
Elsaied Othman
Keyword(s):  
Renewable Energy ◽  
Radial Distribution ◽  
Distribution Network ◽  
Distribution Networks ◽  
Sensitivity Factor ◽  
Sensitivity Index ◽  
Voltage Profile ◽  
Power Losses ◽  
Electrical Distribution ◽  
The Impact

The impact of the renewable distributed generations (RDGs), such as photovoltaic (PV) and wind turbine (WT) systems can be positive or negative on the system, based on the location and size of the DG. So, the correct location and size of DG in the distribution network remain an obstacle to achieving their full possible benefits. Therefore, the future distribution networks with the high penetration of DG power must be planned and operated to improve their efficiency. Thus, this paper presents a new methodology for integrated of renewable energy-based DG units with electrical distribution network. Since the main objective of the proposed methodology is to reduce the power losses and improve the voltage profile of the radial distribution system (RDS). In this regard, the optimization problem was formulated using loss sensitivity factor (LSF), simulated annealing (SA), particle swarm optimization (PSO) and a combination of loss sensitivity index (LSI) with SA & PSO (LSISA, LSIPSO) respectively. This paper contributes a new methodology SAPSO, which prevents the defects of SA & PSO. Optimal placement and sizing of renewable energy-based DG tested on 33-bus system. The results demonstrate the reliability and robustness of the proposed SAPSO algorithm to find the near-optimal position and size of the DG units to mitigate the power losses and improve the radial distribution system's voltage profile.

scholarly journals Power-Flow Development Based on the Modified Backward-Forward for Voltage Profile Improvement of Distribution System

2016 ◽  
Vol 6 (5) ◽  
pp. 2005
Author(s):  
Suyanto Suyanto ◽  
Citra Rahmadhani ◽  
Ontoseno Penangsang ◽  
Adi Soeprijanto
Keyword(s):  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution System ◽  
Power Flow ◽  
Distribution Network ◽  
Flow Simulation ◽  
Voltage Profile ◽  
Radial Distribution System ◽  
Flow Development ◽  
Three Phase

<p>Unbalanced three-phase radial distribution system has a complex problem in power system. It has many branches and it is sometimes voltage profile’s not stable at every end branches. For improvement of voltage profile, it can be performed by penetrating of a distributed generation models. Information of voltage profile can be gained by study of power flow.  The Modified Backward-Forward is one of the most widely used methods of development of power flow and has been extensively used for voltage profile analysis. In this paper, a study of power flow based on the Modified Backward-Forward method was used to capture the complexities of unbalanced three phase radial distribution system in the 20 kV distribution network in North Surabaya city, East Java, Indonesia within considering distributed generation models. In summary, for the informants in this study, the Modified Backward-Forward method has had quickly convergence and it’s just needed 3 to 5 iteration of power flow simulation which’s compared to other power flow development methods. Distributed Generation models in the modified the modified 34 BUS IEEE system and 20 kV distribution network has gained voltage profile value on limited range. One of the more significant findings to emerge from this development is that the Modified Backward-Forward method has average of error voltage about 0.0017 % to 0.1749%.</p>

scholarly journals Reliability improvement and loss reduction in radial distribution system with network reconfiguration algorithms using loss sensitivity factor

2022 ◽  
Vol 12 (2) ◽  
pp. 1199
Author(s):  
Parasa Sushma Devi ◽  
Dasari Ravi Kumar ◽  
Kiran Chakravarthula
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Distribution Network ◽  
Load Flow ◽  
Sensitivity Factor ◽  
Network Reconfiguration ◽  
Loss Reduction ◽  
Area Of Interest ◽  
Electrical Distribution ◽  
Electrical Distribution Network

<p>Studies on load flow in electrical distribution system have always been an area of interest for research from the previous few years. Various approaches and techniques are brought into light for load flow studies within the system and simulation tools are being used to work out on varied characteristics of system. This study concentrates on these approaches and the improvements made to the already existing techniques considering time and the algorithms complexity. Also, the paper explains the network reconfiguration (NR) techniques considered in reconfiguring radial distribution network (RDN) to reduce power losses in distribution system and delivers an approach to how various network reconfiguration techniques support loss reduction and improvement of reliability in the electrical distribution network.</p>

scholarly journals Optimal Allocation of DG and DSTATCOM in Radial Distribution System Using Cuckoo Search Optimization Algorithm

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
T. Yuvaraj ◽  
K. Ravi ◽  
K. R. Devabalaji
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Optimal Allocation ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Optimal Location ◽  
Total Power ◽  
Sensitivity Factor ◽  
Optimal Size ◽  
Radial Distribution System

This paper proposes a new approach to determine the optimal location and sizing of Distributed Generation (DG) and Distribution STATic COMpensator (DSTATCOM) simultaneously in the distribution network. The objective function is formulated to minimize the total power losses of the system subjected to equality and inequality constraints. Loss sensitivity factor (LSF) and Voltage Stability Index (VSI) are used to predetermine the optimal location of DG and DSTATCOM, respectively. Recently developed nature-inspired cuckoo search algorithm (CSA) has been used to determine the optimal size of both DG and DSTATCOM. In the present work, five different cases have been considered during DG and DSTATCOM placement to access the performance of the proposed technique. To check the feasibility, the proposed method is tested on IEEE 12-bus, 34-bus, and 69-bus radial distribution system and the results were compared with other existing techniques.

scholarly journals Reliability Assessment of Radial Distribution System

2020 ◽  
Vol 9 (4) ◽  
pp. 1171-1173
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Distribution Network ◽  
Reliability Assessment ◽  
Point Distribution ◽  
Radial Distribution System ◽  
Reliability Indices ◽  
Load Point ◽  
Radial Network

In this paper the reliability indices are calculated for radial distribution network is improved by placing isolators. Isolators placed at near the tee section of the main radial distribution network used as protection for the load points under abnormal conditions. A seven load point distribution radial network is used to study without isolators and with isolators. Reliability indices evaluated and compared for radial network with isolators and without isolators.

scholarly journals An effective network reconfiguration approach of radial distribution system for loss minimization and voltage profile improvement

2021 ◽  
Vol 10 (4) ◽  
pp. 1819-1827
Author(s):  
Surender Reddy Salkuti ◽  
Neelakanteshwar Rao Battu
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Power Transmission ◽  
Distribution Networks ◽  
Voltage Profile ◽  
Power Losses ◽  
Point Distribution ◽  
Radial Distribution System ◽  
Bulk Power ◽  
Node Voltage

Distribution system represents a crucial portion of power system as it is the connection between the bulk power transmission network and the customers connected at load point. Distribution networks are increasing in size and are spread too far. Low reactance to resistance ratio and large size of network leads to higher power losses in lines and low node voltage at customer end. High power losses reduce the efficiency and affect the economy. Therefore, in this paper an algorithm for reconfiguration of distribution system for loss reduction and voltage profile enhancement is proposed. The proposed reconfiguration approach has been applied to 16 bus radial distribution system (RDS).

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