Optimal Location and Parameter Setting of STATCOM Device Based PSO for Iraqi Grid Voltage Profile Enhancement and Power Losses Minimizing

Distributed generation (DG) technology is based on the renewable sources of energy. Now a day’s distributed generation plays an important role of power generation utilities to fulfill the increasing demand of power at the costumer’s site. A distributed generation is the small generation unit with capacity varying from kW (kilowatt) to few MW (megawatt). The main aim of this paper is to find the solution for optimal location of connecting DG and also the disturbances in the voltage fluctuations responds to imperfection of connecting DG. A test network of IEEE-30 bus system has been simulated using PSAT 2.1.7. The compensation methods have also been developed for filtering out the disturbances caused by the DG connection. The disturbance in the voltage profile is improved by minimizing the real and reactive power losses with the help of STATCOM. The proposed approach IEEE-30-bus system was tested and the result was discussed.

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Coyote multi-objective optimization algorithm for optimal location and sizing of renewable distributed generators

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v11i2.pp975-983 ◽

2021 ◽

Vol 11 (2) ◽

pp. 975

Author(s):

E. M. Abdallah ◽

M. I. El Sayed ◽

M. M. Elgazzar ◽

Amal A. Hassan

Keyword(s):

Optimization Algorithm ◽

Distribution Systems ◽

Voltage Stability ◽

Reducing Power ◽

Stability Index ◽

Optimal Location ◽

Voltage Profile ◽

Power Losses ◽

Voltage Stability Index ◽

Distributed Generators

Research on the integration of renewable distributed generators (RDGs) in radial distribution systems (RDS) is increased to satisfy the growing load demand, reducing power losses, enhancing voltage profile, and voltage stability index (VSI) of distribution network. This paper presents the application of a new algorithm called ‘coyote optimization algorithm (COA)’ to obtain the optimal location and size of RDGs in RDS at different power factors. The objectives are minimization of power losses, enhancement of voltage stability index, and reduction total operation cost. A detailed performance analysis is implemented on IEEE 33 bus and IEEE 69 bus to demonstrate the effectiveness of the proposed algorithm. The results are found to be in a very good agreement.

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Optimal Location of Distributed Generation and its Impacts on Voltage Stability

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v6i2.pp504-511 ◽

2016 ◽

Vol 6 (2) ◽

pp. 504

Author(s):

Manoj Kumar Nigam ◽

V.K. Sethi

Keyword(s):

Distributed Generation ◽

Reactive Power ◽

Optimal Location ◽

Voltage Profile ◽

Power Losses ◽

Compensation Methods ◽

Increasing Demand ◽

Generation Unit ◽

Bus System

Distributed generation (DG) technology is based on the renewable sources of energy. Now a day’s distributed generation plays an important role of power generation utilities to fulfill the increasing demand of power at the costumer’s site. A distributed generation is the small generation unit with capacity varying from kW (kilowatt) to few MW (megawatt). The main aim of this paper is to find the solution for optimal location of connecting DG and also the disturbances in the voltage fluctuations responds to imperfection of connecting DG. A test network of IEEE-30 bus system has been simulated using PSAT 2.1.7. The compensation methods have also been developed for filtering out the disturbances caused by the DG connection. The disturbance in the voltage profile is improved by minimizing the real and reactive power losses with the help of STATCOM. The proposed approach IEEE-30-bus system was tested and the result was discussed.

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Voltage-profile-based approach for developing collection system aggregated models for wind generation resources for grid voltage ride-through studies

IET Renewable Power Generation ◽

10.1049/iet-rpg.2010.0112 ◽

2011 ◽

Vol 5 (5) ◽

pp. 332 ◽

Cited By ~ 17

Author(s):

Y. Cheng ◽

M. Sahni ◽

J. Conto ◽

S.-H. Huang ◽

J. Schmall

Keyword(s):

Wind Generation ◽

Voltage Profile ◽

Collection System ◽

Grid Voltage

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Optimal Location and Size of Multiple Renewable Distributed Generation Units in Power Systems Using an Improved Version of Particle Swarm Optimization

Elektrichestvo ◽

10.24160/0013-5380-2021-12-15-27 ◽

2021 ◽

pp. 15-27

Author(s):

Mamdouh Kamaleldin AHMED ◽

◽

Mohamed Hassan OSMAN ◽

Nikolay V. KOROVKIN ◽

◽

...

Keyword(s):

Particle Swarm Optimization ◽

Power Systems ◽

Distributed Generation ◽

Particle Swarm ◽

Optimal Location ◽

Particle Swarm Algorithm ◽

Power Losses ◽

Negative Effects ◽

Swarm Optimization ◽

Distributed Generations

The penetration of renewable distributed generations (RDGs) such as wind and solar energy into conventional power systems provides many technical and environmental benefits. These benefits include enhancing power system reliability, providing a clean solution to rapidly increasing load demands, reducing power losses, and improving the voltage profile. However, installing these distributed generation (DG) units can cause negative effects if their size and location are not properly determined. Therefore, the optimal location and size of these distributed generations may be obtained to avoid these negative effects. Several conventional and artificial algorithms have been used to find the location and size of RDGs in power systems. Particle swarm optimization (PSO) is one of the most important and widely used techniques. In this paper, a new variant of particle swarm algorithm with nonlinear time varying acceleration coefficients (PSO-NTVAC) is proposed to determine the optimal location and size of multiple DG units for meshed and radial networks. The main objective is to minimize the total active power losses of the system, while satisfying several operating constraints. The proposed methodology was tested using IEEE 14-bus, 30-bus, 57-bus, 33-bus, and 69- bus systems with the change in the number of DG units from 1 to 4 DG units. The result proves that the proposed PSO-NTVAC is more efficient to solve the optimal multiple DGs allocation with minimum power loss and a high convergence rate.

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Impacts of photovoltaic power source intermittence on a distribution network

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v9i6.pp5134-5142 ◽

2019 ◽

Vol 9 (6) ◽

pp. 5134

Author(s):

Oumaima Garfi ◽

Helmi Aloui ◽

Nadia Chaker

Keyword(s):

Distribution Networks ◽

Voltage Profile ◽

Power Losses ◽

Considerable Saving ◽

Solar Systems ◽

Operation Conditions ◽

Power Profile ◽

Daily Behavior ◽

Voltage Performance ◽

Safe Operating

The integration of the photovoltaic (PV) solar systems into distribution networks has brought new challenges to the network planners. One of the most interesting is to prevent the impacts of the PV intermittent character on the steady state system operation conditions. This work is aimed to investigate such effect on voltage performance, conventional generator daily behavior and automatic voltage regulator operation. Simulations were conducted on a 33-bus IEEE radial distribution power system. In order to provide a reliable study, a real PV power profile was considered. Obtained results over a period of 24 hours revealed that the PV integration contributes to an enhancement of the overall voltage profile, a considerable saving in the total amount of the produced active power and a reduction of power losses. However, the PV intermittent character causes significant transformation in buses voltages daily profiles as well as changes in production plan. To sum up, this paper reports the alterations, caused by the PV source intermittence, which must be taken into consideration by the distribution networks planners to maintain the overall network parameters within safe operating condition

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Multiple DG Placement in Radial Bus System using Weight Adaptive Swarm Intelligence to Improve Voltage Profile

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.f1198.0486s419 ◽

2019 ◽

Vol 8 (6S4) ◽

pp. 968-973

Keyword(s):

Power Flow ◽

Flow Analysis ◽

Optimal Solution ◽

Optimal Location ◽

Voltage Profile ◽

Swarm Optimization ◽

Fixed Weight ◽

Adaptive Weight ◽

Effective System

Methods found in the literature are regularly not capable of concurrently examine financial and technical oriented benefits for multi-location DG placement systems. Therefore an effective system is presented to such benefits as for multiple DG placements. Particle Swarm Optimization (PSO) is extensively used to optimize dimensional data in number of applications due to its fast searching and converging property to optimal solution and hence used in finding optimal location for multi DG placement. It is tested on 33 IEEE bus systems in which three initial locations are selected on random basis for DG placement and power flow analysis is done to evaluate electricity losses and voltage profile at all buses. Then PSO is used to find the optimal locations which give high values of voltage profile then initial configuration and proposed three best effective, beneficial locations where there are minimum electricity losses and high voltage profile indices. For speedy convergence of the algorithm adaptive weight parameter is used instead of fixed weight. Experimental results have been carried out for IEEE 33 radial bus in which type-1 DG placement is considered. With optimized locations, new switch-ties gives 70.4 % less power loss than the initial tied switches.

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