scholarly journals Improve the Voltage Profile by using DGS and Dstatcom Optimum Placement and Sizing with Help of Back Tracking Search Algorithm

2019 ◽  
Vol 8 (2S8) ◽  
pp. 1255-1260
Keyword(s):  
Power Systems ◽  
Distributed System ◽  
Energy Demand ◽  
Search Algorithm ◽  
Electrical Energy ◽  
Voltage Profile ◽  
Power Losses ◽  
Distributed Generators ◽  
Optimum Placement ◽  
The Ideal

In Modern Trends in power system, the Distributed Generators (DGs) and FACT Devices are used in Distributed System are becoming more important due to the increase the electrical energy demand. The sizing off DGs and DSTATCOM sizing and proper location has important in power systems which obtaining their better voltage profiles. In this paper, decide the ideal area and estimating DGs and DSTATCOM to power losses decreases and recover the Voltage Profile by the new swarm advancement method explicitly Back Tracking Search Algorithm (BSA) is considered for various burden models.

scholarly journals Optimal Sizing and Location of DG Units for Enhancing Voltage Profile and Minimizing Real Power Losses in the Radial Power Systems Based on PSO Technique

2019 ◽  
Vol 518 ◽  
pp. 042021
Author(s):  
Zaid H. Al-Tameemi ◽  
Omar Muhammed Neda ◽  
Fadhel A. Jumaa ◽  
Dalya H. Al-Mamoori ◽  
Mohanad H. Aljanabi ◽  
...  
Keyword(s):  
Power Systems ◽  
Voltage Profile ◽  
Power Losses ◽  
Real Power ◽  
Optimal Sizing

scholarly journals Impacts of Photovoltaic Distributed Generation Location and Size on Distribution Power System Network

2018 ◽  
Vol 9 (2) ◽  
pp. 905 ◽  
Author(s):  
N. Md. Saad ◽  
M. Z. Sujod ◽  
Lee Hui Ming ◽  
M. F. Abas ◽  
M. S. Jadin ◽  
...  
Keyword(s):  
Power Systems ◽  
Distributed Generation ◽  
Distribution System ◽  
Short Circuit ◽  
Rapid Development ◽  
Reducing Power ◽  
Load Flow ◽  
Voltage Profile ◽  
Power Losses ◽  
Distribution Grid

As the rapid development of photovoltaic (PV) technology in recent years with the growth of electricity demand, integration of photovoltaic distributed generation (PVDG) to the distribution system is emerging to fulfil the demand. There are benefits and drawbacks to the distribution system due to the penetration of PVDG. This paper discussed and investigated the impacts of PVDG location and size on distribution power systems. The medium voltage distribution network is connected to the grid with the load being supplied by PVDG. Load flow and short circuit calculation are analyzed by using DigSILENT Power Factory Software. Comparisons have been made between the typical distribution system and the distribution system with the penetration of PVDG. Impacts in which PVDG location and size integrates with distribution system are investigated with the results given from the load flow and short circuit analysis. The results indicate positive impacts on the system interconnected with PVDG such as improving voltage profile, reducing power losses, releasing transmission and distribution grid capacity. It also shows that optimal locations and sizes of DGs are needed to minimize the system’s power losses. On the other hand, it shows that PVDG interconnection to the system can cause reverse power flow at improper DG size and location and increases short circuit level.

scholarly journals Application of Ordinal Optimization to Reactive Volt-Ampere Sources Planning Problems

Energies ◽  
2019 ◽  
Vol 12 (14) ◽  
pp. 2746 ◽  
Author(s):  
Lee ◽  
Horng ◽  
Lin
Keyword(s):  
Power Systems ◽  
Structural Information ◽  
Search Algorithm ◽  
Difficult Problem ◽  
Mixed Integer ◽  
Ordinal Optimization ◽  
Planning Problem ◽  
Voltage Profile ◽  
Programming Tool ◽  
Capacitor Placement

Reactive volt-ampere sources planning is an effort to determine the most effective investment plan for new reactive sources at given load buses while ensuring appropriate voltage profile and satisfying operational constraints. Optimization of reactive volt-ampere sources planning is not only a difficult problem in power systems, but also a large-dimension constrained optimization problem. In this paper, an ordinal optimization-based approach containing upper and lower level is developed to solve this problem efficiently. In the upper level, an ordinal search (OS) algorithm is utilized to select excellent designs from a candidate-design set according to the system’s structural information exploited from the simulations executed in the lower level. There are five stages in the ordinal search algorithm, which gradually narrow the design space to search for a good capacitor placement pattern. The IEEE 118-bus and IEEE 244-bus systems with four load cases are employed as the test examples. The proposed approach is compared with two competing methods; the genetic algorithm and Tabu search, and a commercial numerical libraries (NL) mixed integer programming tool; IMSL Numerical Libraries. Experimental results illustrate that the proposed approach yields an outstanding design with a higher quality and efficiency for solving reactive volt-ampere sources planning problem.

scholarly journals Optimal Location and Sizing of DGs in DC Networks Using a Hybrid Methodology Based on the PPBIL Algorithm and the VSA

Mathematics ◽  
2021 ◽  
Vol 9 (16) ◽  
pp. 1913
Author(s):  
Luis Fernando Grisales-Noreña ◽  
Oscar Danilo Montoya ◽  
Ricardo Alberto Hincapié-Isaza ◽  
Mauricio Granada Echeverri ◽  
Alberto-Jesus Perea-Moreno
Keyword(s):  
Location Problem ◽  
Search Algorithm ◽  
Optimization Method ◽  
Population Based ◽  
Power Losses ◽  
Test Systems ◽  
Processing Times ◽  
Distributed Generators ◽  
Parallel Version

In this paper, we propose a master–slave methodology to address the problem of optimal integration (location and sizing) of Distributed Generators (DGs) in Direct Current (DC) networks. This proposed methodology employs a parallel version of the Population-Based Incremental Learning (PPBIL) optimization method in the master stage to solve the location problem and the Vortex Search Algorithm (VSA) in the slave stage to solve the sizing problem. In addition, it uses the reduction of power losses as the objective function, considering all the constraints associated with the technical conditions specific to DGs and DC networks. To validate its effectiveness and robustness, we use as comparison methods, different solution methodologies that have been reported in the specialized literature, as well as two test systems (the 21 and 69-bus test systems). All simulations were performed in MATLAB. According to the results, the proposed hybrid (PPBIL–VSA) methodology provides the best trade-off between quality of the solution and processing times and exhibits an adequate repeatability every time it is executed.

scholarly journals Hydropower production prediction using artificial neural networks: an Ecuadorian application case

2021 ◽  
Author(s):  
Julio Barzola-Monteses ◽  
Juan Gómez-Romero ◽  
Mayken Espinoza-Andaluz ◽  
Waldo Fajardo
Keyword(s):  
Power Systems ◽  
Capacity Planning ◽  
Short Term Memory ◽  
Search Algorithm ◽  
Electrical Energy ◽  
Prediction Horizon ◽  
Hydropower Production ◽  
One Step ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

AbstractHydropower is among the most efficient technologies to produce renewable electrical energy. Hydropower systems present multiple advantages since they provide sustainable and controllable energy. However, hydropower plants’ effectiveness is affected by multiple factors such as river/reservoir inflows, temperature, electricity price, among others. The mentioned factors make the prediction and recommendation of a station’s operational output a difficult challenge. Therefore, reliable and accurate energy production forecasts are vital and of great importance for capacity planning, scheduling, and power systems operation. This research aims to develop and apply artificial neural network (ANN) models to predict hydroelectric production in Ecuador’s short and medium term, considering historical data such as hydropower production and precipitations. For this purpose, two scenarios based on the prediction horizon have been considered, i.e., one-step and multi-step forecasted problems. Sixteen ANN structures based on multilayer perceptron (MLP), long short-term memory (LSTM), and sequence-to-sequence (seq2seq) LSTM were designed. More than 3000 models were configured, trained, and validated using a grid search algorithm based on hyperparameters. The results show that the MLP univariate and differentiated model of one-step scenario outperforms the other architectures analyzed in both scenarios. The obtained model can be an important tool for energy planning and decision-making for sustainable hydropower production.

Model Energi Pembangkit Listrik Tenaga Surya di Pulau Giliyang Madura

2018 ◽  
Vol 2 (2) ◽  
pp. 81
Author(s):  
Nurhadi Nurhadi ◽  
Mochammad Ali M ◽  
Daif Rahuna ◽  
Sutopo P. Fitri
Keyword(s):  
Solar Energy ◽  
Power Systems ◽  
Energy Demand ◽  
Alternative Energy ◽  
Thermal Power ◽  
Electrical Energy ◽  
Solar Photovoltaic ◽  
Solar Panels ◽  
Solar Thermal Power ◽  
Storage Media

Giliiyang Island is a famous island that has the highest oxygen content in the world, and very beautiful sea, but the location is far from PLN / elctictric grid system. It is necessary to develop environmentally friendly alternative energy. One of alternative energy offered is solar energy. Solar energy is energy that’s form of light and heat from the sun. This energy can be utilized using a range of technologies such as solar heating, solar photovoltaic, solar thermal power, solar architecture, and artificial photosynthesis. Based on the calculation is known that the electrical energy demand for Giliiyang Island is around 1984 kWh. The design of two off-grid solar power systems which each capacity about 1 MWp will require 3000 m2 of land with 780 solar panels that have an intensity of 800 W / m2. Deep cycle battery with 24 V DC 200 AH as storage media required about 504 pieces.

Optimal Sizing and Placement of Capacitor Banks and Distributed Generation in Distribution Systems Using Spring Search Algorithm

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Mohammad Dehghani ◽  
Zeinab Montazeri ◽  
O. P. Malik
Keyword(s):  
Distributed Generation ◽  
Energy Cost ◽  
Distribution Systems ◽  
Search Algorithm ◽  
Electrical Energy ◽  
Objective Functions ◽  
Power Losses ◽  
Optimal Sizing ◽  
Capacitor Banks ◽  
Voltage Deviation

AbstractIntegration of capacitor banks (CBs) and distributed generation units (DGs) in distribution systems aims to elevate the system performance. Optimal sizing and placement of CBs and DGs using Spring Search Algorithm (SSA) is proposed. The SSA aims to attain economic, technical, and environmental advantages. Various objective functions: total emissions produced by generation sources, voltage deviation, total electrical energy cost, and power losses are evaluated. SSA simulates Hawk’s Law among weights and springs. In SSA, agents are weights connected to each other by springs. Performance of the proposed method is evaluated on the IEEE 33-bus system. The results indicate superiority of SSA compared with other optimization algorithms.

scholarly journals Reliability Analysis with Renewable DGs for Loss Reduction in Radial Distributed Generation

2021 ◽  
Vol 309 ◽  
pp. 01071
Author(s):  
R. Kavyasree ◽  
J. Sridevi ◽  
V. Usha Rani
Keyword(s):  
Power Systems ◽  
Distributed Generation ◽  
Distribution Systems ◽  
Reducing Power ◽  
Cost Effective ◽  
Loss Reduction ◽  
Voltage Profile ◽  
Power Losses ◽  
Joint System ◽  
Effective Manner

Nowadays, in the Evolving Power System, reliability testing plays an important role in the design and implementation of distribution systems that operate in a cost-effective manner with minimal customer load disruption. The distributed generation (DG) will play a major role in emerging Power systems as they use a variety of resources and technologies to harness energy in Power systems by reducing Power losses while maintaining the Voltage profile in the system within the limits set. In this paper, two case studies with one DG and two DGs were analysed. The results obtained showed that the DG Number with the plan will increase the reliability of the joint system. The proven system is verified before the IEEE 6-Bus Radial Distributed System to reflect exposure and impact on ETAP software.

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

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.

Sign in / Sign up

Export Citation Format

Share Document