scholarly journals Intelligent voltage regulator for distributed generation-based network

2021 ◽  
Vol 23 (1) ◽  
pp. 98
Author(s):  
Zwawi Hamadouche ◽  
Mounir Khiat ◽  
Muhammad Asad Iqbal
Keyword(s):  
Distributed Generation ◽  
Voltage Control ◽  
Feedforward Neural Networks ◽  
Power Grids ◽  
Control Technique ◽  
Stable Operation ◽  
Voltage Profile ◽  
High Penetration ◽  
Smart Distribution Network ◽  
Stable Voltage

Power grids are being transformed into a smart distribution network that incorporates multiple distributed energy resources (DERs), ensuring stable operation and improved power quality at the same time. Many research papers have been published in recent years that discuss the voltage violation issues that emerge from the high penetration of distributed generation (DG). In this paper, we propose a new optimal voltage control technique based on feedforward neural networks (FFNN) to maintain a stable voltage profile. MATLAB®/Simulink® has been used to carry out the simulation. The simulation results show the efficiency of this method in voltage control. The proposed approach ensured a stable voltage profile for the considered schemes.

Control technique for enhancing the stable operation of distributed generation units within a microgrid

2015 ◽  
Vol 97 ◽  
pp. 362-373 ◽  
Author(s):  
Majid Mehrasa ◽  
Edris Pouresmaeil ◽  
Hasan Mehrjerdi ◽  
Bo Nørregaard Jørgensen ◽  
João P.S. Catalão
Keyword(s):  
Distributed Generation ◽  
Control Technique ◽  
Stable Operation

Research on Electric Power Control Technique for Stable Operation of DC Micro-Grid

2014 ◽  
Vol 986-987 ◽  
pp. 1129-1133
Author(s):  
Xiao Xu ◽  
Xiao Chun Ma ◽  
Zhen Ning Zi ◽  
Bao Qiang Ben ◽  
Hua Li ◽  
...  
Keyword(s):  
Distributed Generation ◽  
Control Technique ◽  
Stable Operation ◽  
Key Technology ◽  
Advantages And Disadvantages ◽  
Development Direction ◽  
Grid Topology ◽  
Micro Grid ◽  
Simulation Results ◽  
Forward System

Distributed generation (DG) into DC micro-grid can save a lot of converter equipments compared with AC micro-grid,.So,with the popularity of DG,DC micro-grid technology also has get great development.However,the key technology of DC micro-grid is not yet mature.This paper is based on shanghai DC micro-grid demonstration project of Sate Grid Smart Grid Research Institute.Firstly,we analysis the advantages and disadvantages of AC,DC and AC/DC hybrid micro-grid.Then, after comparison and analysis of DC micro-grid topology,we put forward system scheme and corresponding control strategy.The simulation results show that, the proposed control strategy is feasible,simple,real-time and effective.This design scheme is applicable for radiant topology and would provide guidance to the development direction of DC micro-grid project later.

scholarly journals Optimal Placement and Sizing of Distributed Generators Based on Multiobjective Particle Swarm Optimization

2021 ◽  
Vol 9 ◽  
Author(s):  
Deyu Yang ◽  
Junqing Jia ◽  
Wenli Wu ◽  
Wenchao Cai ◽  
Dong An ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Renewable Energy Sources ◽  
Particle Swarm ◽  
Power Grids ◽  
Optimal Placement ◽  
Stable Operation ◽  
Voltage Profile ◽  
Swarm Optimization ◽  
Multiobjective Particle Swarm Optimization ◽  
The Impact

To solve the problems of environmental pollution and energy consumption, the development of renewable energy sources becomes the top priority of current energy transformation. Therefore, distributed power generation has received extensive attention from engineers and researchers. However, the output of distributed generation (DG) is generally random and intermittent, which will cause various degrees of impact on the safe and stable operation of power system when connected to different locations, different capacities, and different types of power grids. Thus, the impact of sizing, type, and location needs to be carefully considered when choosing the optimal DG connection scheme to ensure the overall operation safety, stability, reliability, and efficiency of power grid. This work proposes a distinctive objective function that comprehensively considers power loss, voltage profile, pollution emissions, and DG costs, which is then solved by the multiobjective particle swarm optimization (MOPSO). Finally, the effectiveness and feasibility of the proposed algorithm are verified based on the IEEE 33-bus and 69-bus distribution network.

scholarly journals Optimal Placement and Sizing of Distributed Generators Based on Swarm Moth Flame Optimization

2021 ◽  
Vol 9 ◽  
Author(s):  
Zhukui Tan ◽  
Ming Zeng ◽  
Liming Sun
Keyword(s):  
Power Grid ◽  
Power Grids ◽  
Optimal Placement ◽  
Stable Operation ◽  
Human Beings ◽  
Voltage Profile ◽  
The Sustainable Development ◽  
Moth Flame Optimization Algorithm ◽  
Grid Operation ◽  
Efficient Power

In order to deal with the problem of environmental pollution and energy consumption, developing clean and renewable energy to maintain the sustainable development of society has become an urgent matter for human beings. Therefore, distributed generation (DG) is widely concerned by engineers. However, the output of DG is generally random and intermittent. When it is connected to different locations, different capacities and different types of power grids, the safe and stable operation of the power system will be affected to different degrees. When selecting the optimal DG access scheme, power grid planners must consider the influence of capacity, type and location to ensure a safer, more stable, more reliable and more efficient power grid operation. Therefore, this paper proposes an objective function considering integrated power losses, voltage profile and pollution emission, and swarm moth flame optimization algorithm (SMFO) is used to solve. Finally, based on IEEE-33 bus, the effectiveness of the proposed algorithm is verified.

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