scholarly journals Efficient RES Penetration under Optimal Distributed Generation Placement Approach

Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1250 ◽  
Author(s):  
Paschalis Gkaidatzis ◽  
Aggelos Bouhouras ◽  
Kallisthenis Sgouras ◽  
Dimitrios Doukas ◽  
Georgios Christoforidis ◽  
...  
Keyword(s):  
Distributed Generation ◽  
Renewable Energy Sources ◽  
Weather Conditions ◽  
Problem Complexity ◽  
Power Losses ◽  
Swarm Optimization ◽  
Operational Constraints ◽  
Geographical Characteristics ◽  
Distributed Generation Placement ◽  
Unified Particle Swarm Optimization

In this paper, a novel version of the Optimal Distributed Generation Placement (ODGP) problem regarding the siting and sizing of Renewable Energy Sources (RESs) units is presented, called Optimal RES placement (ORESP). Power losses constitute the objective function to be minimized, subject to operational constraints. The simultaneous installation of a mix of RESs is considered and the Capacity Factor (CF) ratio is used as an aid for taking into account: (a) the geographical characteristics of the area, in which the examined Distribution Network (DN) is placed, (b) the different weather conditions, and (c) the availability of RESs, all of that at the same time, while keeping the problem complexity at minimum. The contribution of this work is that the proposed methodology bypasses the weather uncertainties and, thus, the RESs’ power generation stochasticity and provides an adequate solution with minimum computational burden and time, since the proposed CF use allows solving the problem under a straightforward way. Unified Particle Swarm Optimization (uPSO) is used for solving ODGP and ORESP. Moreover, a sensitivity analysis regarding the CFs variations is performed and finally a comparison of the proposed method with a more realistic one is performed, to consolidate further the claims of this paper. The proposed method is evaluated on RES-region-modified 33- and 118 bus systems.

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

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.

scholarly journals Distributed Generation Placement in Radial Distribution Networks using a Bat-inspired Algorithm

DYNA ◽  
2015 ◽  
Vol 82 (192) ◽  
pp. 60-67 ◽  
Author(s):  
John Edwin Candelo-Becerra ◽  
Helman Hernández-Riaño
Keyword(s):  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution Systems ◽  
Reactive Power ◽  
Distribution Networks ◽  
Power Losses ◽  
Number Of Generators ◽  
Metaheuristic Techniques ◽  
Distributed Generation Placement ◽  
Made In

<p>Distributed generation (DG) is an important issue for distribution networks due to the improvement in power losses, but the location and size of generators could be a difficult task for exact techniques. The metaheuristic techniques have become a better option to determine good solutions and in this paper the application of a bat-inspired algorithm (BA) to a problem of location and size of distributed generation in radial distribution systems is presented. A comparison between particle swarm optimization (PSO) and BA was made in the 33-node and 69-node test feeders, using as scenarios the change in active and reactive power, and the number of generators. PSO and BA found good results for small number and capacities of generators, but BA obtained better results for difficult problems and converged faster for all scenarios. The maximum active power injections to reduce power losses in the distribution networks were found for the five scenarios.</p>

scholarly journals Analytical description of power losses in a transformer operating in the dual active bridge converter

2016 ◽  
Vol 64 (3) ◽  
pp. 561-574
Author(s):  
R. Barlik ◽  
M. Nowak ◽  
P. Grzejszczak ◽  
M. Zdanowski
Keyword(s):  
Distributed Generation ◽  
High Frequency ◽  
Energy Flow ◽  
Single Phase ◽  
Renewable Energy Sources ◽  
Analytical Description ◽  
Power Losses ◽  
Dual Active Bridge ◽  
High Frequency Transformer

Abstract The paper presents an analytical approach to the determination of power losses in a high-frequency transformer operating in the dual active bridge (DAB). This transformer, having two single-phase transistor bridge inverters, couples two DC circuits that significantly differ in voltages (280 V and 51 V ±20%). Power losses in the core and windings of the planar transformer 5600 VA /100 kHz were calculated taking into account changes in the value and direction of the energy flow between the coupled DC circuits. These circuits represent storage or renewable energy sources and intermediate circuits of the converters used in distributed generation systems. Calculations were performed using the Steinmetz’s and Dowell’s equations. The analytical results have been verified experimentally.

Optimal Placement of Distributed Generation in Power System for Power System Loss Reduction Using ETAP

2019 ◽  
Vol 16 ◽  
pp. 7-19 ◽  
Author(s):  
Suliman Khan ◽  
Salim Ur Rehman ◽  
Anees Ur Rehman ◽  
Hashmat Khan
Keyword(s):  
Power System ◽  
Distributed Generation ◽  
Renewable Energy Sources ◽  
Load Flow ◽  
Electric Power System ◽  
Optimization Techniques ◽  
Optimal Placement ◽  
Loss Reduction ◽  
Power Losses ◽  
Power Loss Reduction

Because of increasing interest in renewable energy sources in recent times, the studies concerning integration of Distributed Generation (DG) to power grid have been increased rapidly. Apart from other benefits, loss reduction and voltage profile improvement are its salient features. Non-optimal locations of DG units may lead to increase power losses. Optimal location of DGs in power systems is vital to maximize overall system efficiency. In this approach, optimization techniques have been applied to determine the optimal allocation and impact of DG on electric power system in terms of power loss reduction are analyzed. The Newton Raphson load flow analysis has been carried out on 10 bus system using ETAP software which shows that active power losses were reduced from 3302.2 KW to 400.7 KW after the installation of 5MW.

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