scholarly journals Optimal Siting and Sizing of Distributed Generators by Strawberry Plant Propagation Algorithm

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1744
Author(s):  
Mohsin Shahzad ◽  
Waseem Akram ◽  
Muhammad Arif ◽  
Uzair Khan ◽  
Barkat Ullah
Keyword(s):  
Distribution System ◽  
Reactive Power ◽  
Voltage Profile ◽  
Power Losses ◽  
Strawberry Plant ◽  
Plant Propagation ◽  
Distributed Generators ◽  
Propagation Algorithm ◽  
Active And Reactive Power ◽  
Active Power Losses

Increasing the unplanned penetration of Distributed Generators (DGs) has spurred active and reactive power losses in the distribution system. This article suggests using a novel Strawberry Plant Propagation Algorithm (SPPA) for planning the placement of the DGs with the aim of reducing the network (active) power losses and improving the overall voltage profile. The proposed method (SPPA) has been tested on 33 and 69 node radial systems in MATLAB. A cost analysis was also performed and compared with other contemporary methods. The results for the considered variables show the significance of the proposed method in comparison to various other counterparts, including the Mine Blast Algorithm and Particle Swarm Optimization.

scholarly journals Loss Minimization of Power Distribution Network using Different Types of Distributed Generation Unit

2015 ◽  
Vol 5 (5) ◽  
pp. 918
Author(s):  
Su Hlaing Win ◽  
Pyone Lai Swe
Keyword(s):  
Power System ◽  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution System ◽  
Reactive Power ◽  
Distribution Network ◽  
Loss Reduction ◽  
Voltage Profile ◽  
Optimum Location ◽  
Power Losses

A Radial Distribution network is important in power system area because of its simple design and reduced cost. Reduction of system losses and improvement of voltage profile is one of the key aspects in power system operation. Distributed generators are beneficial in reducing losses effectively in distribution systems as compared to other methods of loss reduction. Sizing and location of DG sources places an important role in reducing losses in distribution network. Four types of DG are considered in this paper with one DG installed for minimize the total real and reactive power losses. The objective of this methodology is to calculate size and to identify the corresponding optimum location for DG placement for minimizing the total real and reactive power losses and to improve voltage profile   in primary distribution system. It can obtain maximum loss reduction for each of four types of optimally placed DGs. Optimal sizing of Distributed Generation can be calculated using exact loss formula and an efficient approach is used to determine the optimum location for Distributed Generation Placement.  To demonstrate the performance of the proposed approach 36-bus radial distribution system in Belin Substation in Myanmar was tested and validated with different sizes and the result was discussed.

scholarly journals Siting and Sizing of DG in Medium Primary Radial Distribution System with Enhanced Voltage Stability

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Sanjay Jain ◽  
Ganga Agnihotri ◽  
Shilpa Kalambe ◽  
Renuka Kamdar
Keyword(s):  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution System ◽  
Voltage Stability ◽  
Reactive Power ◽  
Voltage Profile ◽  
Power Losses ◽  
Radial Distribution System ◽  
Power Loss Reduction ◽  
The Impact

This paper intends to enumerate the impact of distributed generation (DG) on distribution system in terms of active as well as reactive power loss reduction and improved voltage stability. The novelty of the method proposed in this paper is the simple and effective way of sizing and siting of DG in a distribution system by using two-port Z-bus parameters. The validity of the method is verified by comparing the results with already published methods. Comparative study presented has shown that the proposed method leads existing methods in terms of its simplicity, undemanding calculation procedures, and less computational efforts and so does the time. The method is implemented on IEEE 69-bus test radial distribution system and results show significant reduction in distribution power losses with improved voltage profile of the system. Simulation is carried out in MATLAB environment for execution of the proposed algorithm.

scholarly journals Optimal Sizing and Sitting of Distributed Generation for Power Quality Improvement of Distribution Network

2019 ◽  
Vol 4 (10) ◽  
pp. 18-23 ◽  
Author(s):  
Abubakar Bawa ◽  
Muhammad Uthman ◽  
Farouq E. Shaibu ◽  
Koledowo Saliu Oyewale
Keyword(s):  
Adverse Effect ◽  
Power Quality ◽  
Distributed Generation ◽  
Reactive Power ◽  
Distribution Network ◽  
Loss Reduction ◽  
Voltage Profile ◽  
Power Losses ◽  
Optimal Sizing ◽  
Active And Reactive Power

The Point of Common Coupling (PCC) where suppliers’ responsibility and customers demand meet is of great concern due to increase degree of voltage variation assessment; valuable indicator of system conditions (voltage profile). Unstable condition of the power system outside operational or statutory limit, an adverse effect of nonlinear loads usually generate harmonics as well as fundamental frequency voltage variations and increase rate of power losses. These loads need to be compensated for. The major concerns of utility operations is to mitigate adverse effect of this system conditions. This research work focuses on optimal siting and sizing of Distributed Generation (DG) in a 43 bus distribution system. Power losses coupled with voltage deviation, considering objective function that compute present percentage losses in 11kV Dikko feeder, Abuja Electricity Distribution Company (AEDC), Suleja Distribution Network, Nigeria. We identified buses with poor voltage profile without DG installation and determined optimal sizing and siting of DGs where losses can be mitigated and power quality improved. ETAP version 12.6 2014 was used for load flow analysis to establish a decisive based case. The total load of the system considered was (3490 + j2700) kVA. Active and Reactive power losses in the system before DG installation were 246.300 kW and 289.903 kVAR respectively. DGs installation in the case study, has a considerable effects on loss reduction in the network. It is observed that 8.10% and 7.20% active and reactive power loss reduction was achieved while bus voltage improved by 0.4%. Genetic Algorithm Optimization techniques programmed in MATLAB 2015 software was used for optimal placement and sizing of the DG in the system.

scholarly journals Penetration effects of various kinds of distributed generation systems on the distribution system

2019 ◽  
Vol 8 (9) ◽  
pp. 596-600
Keyword(s):  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution System ◽  
Reactive Power ◽  
Load Flow ◽  
Voltage Profile ◽  
Power Losses ◽  
Generation System ◽  
Radial Distribution System ◽  
Real Power

Distributed generation system penetration in the existing distribution system is done for minimizing the losses and improving the voltage profile. There are total five types of distributed generation systems exist based on their power delivery like distributed generation system injecting real and reactive power, supplying real power only, supplying reactive power only, absorbing reactive power only , supplying real power and absorbing reactive power. All these five types of distributed generation systems have different penetration effects on the radial distribution system. We get different voltage profiles and power losses for different types of distributed generation systems. The testing of these five types of distributed generation systems will be done on IEEE 33 bus radial distribution system. For computing, the line parameters and power losses of the above testing system the forward-backward sweep load flow method will be applied

scholarly journals Optimization of Voltage Unbalance Compensation by Smart Inverter

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4623 ◽  
Author(s):  
Ryuto Shigenobu ◽  
Akito Nakadomari ◽  
Ying-Yi Hong ◽  
Paras Mandal ◽  
Hiroshi Takahashi ◽  
...  
Keyword(s):  
Distribution System ◽  
Reactive Power ◽  
System Model ◽  
Specific Load ◽  
Voltage Profile ◽  
Voltage Unbalance ◽  
Load Demand ◽  
Active And Reactive Power ◽  
Symmetrical Component ◽  
Unbalanced Voltage

This paper presents a compensation method for unbalanced voltage through active and reactive power control by utilizing a smart inverter that improves the voltage unbalance index and detects an unbalanced state of voltage magnitude and phase, and thus enhances power quality by minimizing the voltage imbalance. First of all, this paper presents an analysis of a mathematical approach, which demonstrates that the conventional voltage unbalanced factor (VUF) using the symmetrical component cannot correctly detect the imbalanced state from index equations; and by only minimizing the VUF value, it cannot establish a balanced condition for an unbalanced state of the voltage profile. This paper further discusses that intermittent photovoltaic (PV) output power and diversified load demand lead to an unexpected voltage imbalance. Therefore, considering the complexity of unbalanced voltage conditions, a specific load and an PV profile were extracted from big data and applied to the distribution system model. The effectiveness of the proposed scheme was verified by comparing VUF indices and controlling the active and reactive power of a smart inverter through a numerical simulation.

scholarly journals Performance Enhancement of Radial Distribution System via Network Reconfiguration: A Case Study of Urban City in Nepal

2021 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Govinda Prashad Pandey ◽  
Ashish Shrestha ◽  
Bijen Mali ◽  
Ajay Singh ◽  
Ajay Kumar Jha
Keyword(s):  
Distribution System ◽  
Energy Demand ◽  
Reactive Power ◽  
Voltage Drop ◽  
Base Case ◽  
Network Reconfiguration ◽  
Voltage Profile ◽  
Power Losses ◽  
Case Scenario ◽  
Urban City

Increasing unplanned energy demand increase has led to network congestion, increases power losses and poor voltage profile. To decrease these effects of an unmanaged power system, distribution network reconfiguration provides an effective solution. This paper deals with improving the power losses and poor voltage profile of the Phulchowk Distribution and Consumer Services (DCS) via the implementation of an optimum reconfiguration approach. A Genetic Algorithm (GA) is developed for the optimization. Further, it tries to answer to what extent can we improve the distribution system without overhauling the entire network. The developed simulation algorithm is firstly put into work on the IEEE 33 bus system to better its voltage profile and the poor power losses. The effectiveness of the developed system is validated as it reduced the voltage drop by 5.66% and the power loss by 25.96%. With the solution validated, the algorithm is further implemented in the case of Pulchowk DCS. After reconfiguring the system in different individual cases, optimum network reconfiguration is selected that improved the voltage profile by 3.85%, and the active and reactive power losses by 44.29% and 45.54% respectively from the base case scenario.

scholarly journals Allocation of distributed generation and capacitor banks in distribution system

2019 ◽  
Vol 13 (2) ◽  
pp. 437 ◽  
Author(s):  
Olatunde Oladepo ◽  
Hasimah Abdul Rahman
Keyword(s):  
Distribution System ◽  
Power Flow ◽  
Distribution Systems ◽  
Reactive Power ◽  
Optimal Placement ◽  
Voltage Profile ◽  
Power Losses ◽  
Capacitor Banks ◽  
Reactive Power Flow ◽  
Imaginary Power

<p>Voltage profile and power losses on the distribution system is a function of real and imaginary power loading condition. This can be effectively managed through the controlled real and reactive power flow by optimal placement of capacitor banks (CB) and distributed generators (DG). This paper presents adaptive Particle Swarm Optimization (MPSO) to efficiently tackle the problem of simultaneous allocation of DG and CB in radial distribution system to revamp voltage magnitude and reduce power losses. The modification to the conventional PSO was achieved by replacing the inertial weight equation (W) in the velocity update equation base on the particle best experience in the previous iteration. The inertial weight equation is designed to vary with respect to the iteration value in the algorithm. The proposed method was investigated on IEEE 30-bus, 33-bus and 69-bus test distribution systems. The results shows a significant improvement in the rate of convergence of APSO, improved voltage profile and loss reduction.</p>

scholarly journals Optimal Charging Schedule Coordination of Electric Vehicles in Smart Grid

2018 ◽  
Vol 11 (1) ◽  
pp. 82 ◽  
Author(s):  
Wan Iqmal Faezy Wan Zalnidzam ◽  
Hasmaini Mohamad ◽  
Nur Ashida Salim ◽  
Hazlie Mokhlis ◽  
Zuhaila Mat Yasin
Keyword(s):  
Distribution System ◽  
Large Scale ◽  
Schedule Algorithm ◽  
Time Frame ◽  
Active Power ◽  
Voltage Profile ◽  
Power Losses ◽  
Schedule Coordination ◽  
Active Power Losses ◽  
The Impact

The increasing penetration of electric vehicle (EV) at distribution system is expected in the near future leading to rising demand for power consumption. Large scale uncoordinated charging demand of EVs will eventually threatens the safety operation of the distribution network. Therefore, a charging strategy is needed to reduce the impact of charging. This paper proposes an optimal centralized charging schedule coordination of EV to minimize active power losses while maintaining the voltage profile at the demand side. The performance of the schedule algorithm developed using particle swarm optimization (PSO) technique is evaluated at the IEEE-33 Bus radial distribution system in a set time frame of charging period. Coordinated and uncoordinated charging schedule is then compared in terms of active power losses and voltage profile at different level of EV penetration considering 24 hours of load demand profile. Results show that the proposed coordinated charging schedule is able to achieve minimum total active power losses compared to the uncoordinated charging.

scholarly journals Optimal location and capacity of multi-distributed generation for loss reduction and voltage profile improvement using imperialist competitive algorithm

2012 ◽  
Vol 1 (2) ◽  
pp. 56 ◽  
Author(s):  
M. Rostamzadeh ◽  
K. Valipour ◽  
S. J. Shenava ◽  
M. Khalilpour ◽  
N. Razmjooy
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Reactive Power ◽  
Imperialist Competitive Algorithm ◽  
Total Power ◽  
Voltage Profile ◽  
Power Losses ◽  
Radial Distribution System ◽  
Real Power ◽  
Competitive Algorithm

This paper proposes an Imperialist Competitive Algorithm (ICA) for optimal multiple distributed generations (DGs) placement and sizing in a distribution system. The objective is to minimize the total real power losses and improve the voltage profile within real and reactive power generation and voltage limits. Three types of DG are considered and the ICA is used to find the better sizes and locations of DGs for maximum real power losses reduction and voltage improvement for given number of DG units in each type. Both integer and continuous variables are considered in ICA, integer variable for locations and continues variable for sizes. The total real power losses and voltage profile evaluation are based on a power flow method for radial distribution system with the representation of DGs. The proposed method has been demonstrated on 33 bus radial distribution system. The efficiency of the ICA in reducing the total power losses and improving voltage is validated by comparing the obtained results with Particle Swarm Optimization (PSO) algorithm.

scholarly journals A New Hybrid Technique for Minimizing Power Losses in a Distribution System by Optimal Sizing and Siting of Distributed Generators with Network Reconfiguration

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3351 ◽  
Author(s):  
Mirna Abd El-salam ◽  
Eman Beshr ◽  
Magdy Eteiba
Keyword(s):  
Case Studies ◽  
Distribution System ◽  
Distribution Systems ◽  
Grey Wolf Optimizer ◽  
Hybrid Technique ◽  
Network Reconfiguration ◽  
Voltage Profile ◽  
Power Losses ◽  
Particle Swarm Optimizer ◽  
Distributed Generators

Transformations are taking place within the distribution systems to cope with the congestions and reliability concerns. This paper presents a new technique to efficiently minimize power losses within the distribution system by optimally sizing and placing distributed generators (DGs) while considering network reconfiguration. The proposed technique is a hybridization of two metaheuristic-based algorithms: Grey Wolf Optimizer (GWO) and Particle Swarm Optimizer (PSO), which solve the network reconfiguration problem by optimally installing different DG types (conventional and renewable-based). Case studies carried out showed the proposed hybrid technique outperformed each algorithm operating individually regarding both voltage profile and reduction in system losses. Case studies are carried to measure and compare the performance of the proposed technique on three different works: IEEE 33-bus, IEEE 69-bus radial distribution system, and an actual 78-bus distribution system located at Cairo, Egypt. The integration of renewable energy with the distribution network, such as photovoltaic (PV) arrays, is recommended since Cairo enjoys an excellent actual record of irradiance according to the PV map of Egypt.

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