scholarly journals Optimization Methodologies and Testing on Standard Benchmark Functions of Load Frequency Control for Interconnected Multi Area Power System in Smart Grids

Mathematics ◽  
2020 ◽  
Vol 8 (6) ◽  
pp. 980 ◽  
Author(s):  
Krishan Arora ◽  
Ashok Kumar ◽  
Vikram Kumar Kamboj ◽  
Deepak Prashar ◽  
Sudan Jha ◽  
...  
Keyword(s):  
Smart Grid ◽  
Smart Grids ◽  
Unit Commitment ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Grid System ◽  
Unit Commitment Problem ◽  
Load Frequency ◽  
Fixed Dimension ◽  
Smart Grid System

In the recent era, the need for modern smart grid system leads to the selection of optimized analysis and planning for power generation and management. Renewable sources like wind energy play a vital role to support the modern smart grid system. However, it requires a proper commitment for scheduling of generating units, which needs proper load frequency control and unit commitment problem. In this research area, a novel methodology has been suggested, named Harris hawks optimizer (HHO), to solve the frequency constraint issues. The suggested algorithm was tested and examined for several regular benchmark functions like unimodal, multi-modal, and fixed dimension to solve the numerical optimization problem. The comparison was carried out for various existing models and simulation results demonstrate that the projected algorithm illustrates better results towards load frequency control problem of smart grid arrangement as compared with existing optimization models.

Ant Lion Optimizer for Solving Unit Commitment Problem in Smart Grid System

2017 ◽  
Vol 8 (1) ◽  
pp. 129 ◽  
Author(s):  
Izni Nadhirah Sam’on ◽  
Zuhaila Mat Yasin ◽  
Zuhaina Zakaria
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
Unit Commitment ◽  
Energy Resources ◽  
Grid System ◽  
Renewable Energy Resources ◽  
Unit Commitment Problem ◽  
Commitment Problem ◽  
Ant Lion ◽  
Smart Grid System

<p>This paper proposed the integration of solar energy resources into the conventional unit commitment. The growing concern about the depletion of fossil fuels increased the awareness on the importance of renewable energy resources, as an alternative energy resources in unit commitment operation. However, the present renewable energy resources is intermitted due to unpredicted photovoltaic output. Therefore, Ant Lion Optimizer (ALO) is proposed to solve unit commitment problem in smart grid system with consideration of uncertainties .ALO is inspired by the hunting appliance of ant lions in natural surroundings. A 10-unit system with the constraints, such as power balance, spinning reserve, generation limit, minimum up and down time constraints are considered to prove the effectiveness of the proposed method. The performance of proposed algorithm are compared with the performance of Dynamic Programming (DP). The results show that the integration of solar energy resources in unit<em> commitment scheduling can improve the total operating cost significantly. </em></p>

scholarly journals Solving economic dispatch and unit commitment problem in smart grid system using eagle strategy based crow search algorithm

2019 ◽  
Vol 14 (3) ◽  
pp. 1087
Author(s):  
Rachid HABACHI ◽  
Achraf Touil ◽  
Abdellah Boulal ◽  
Abdelkabir Charkaoui ◽  
Abdelwahed Echchatbi
Keyword(s):  
Smart Grid ◽  
Unit Commitment ◽  
Search Algorithm ◽  
Economic Dispatch ◽  
Minimum Cost ◽  
Grid System ◽  
Unit Commitment Problem ◽  
Commitment Problem ◽  
Smart Grid System ◽  
Eagle Strategy

<p><span lang="EN-US">The economic dispatch problem of power plays a very important role in the exploitation of electro-energy systems to judiciously distribute power generated by all plants. The Unit commitment problem (UCP) is mainly finding the minimum cost schedule to a set of generators by turning each one either on or off over a given time horizon to meet the demand load and satisfy different operational constraints. This research article integrates the crow search algorithm as a local optimizer of Eagle strategy to solve economic dispatch and unit commitment problem in smart grid system.</span></p>

scholarly journals Event‐triggered load frequency control of smart grids under deception attacks

2021 ◽  
Author(s):  
Xinghua Liu ◽  
Dandan Bai ◽  
Yi‐De Wu ◽  
Ming‐Feng Ge ◽  
Alessandro N. Vargas
Keyword(s):  
Smart Grids ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Load Frequency ◽  
Event Triggered

scholarly journals Secure Load Frequency Control of Smart Grids under Deception Attack: A Piecewise Delay Approach

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2266 ◽  
Author(s):  
Fei Zhao ◽  
Jinsha Yuan ◽  
Ning Wang ◽  
Zhang Zhang ◽  
Helong Wen
Keyword(s):  
Smart Grids ◽  
Controller Design ◽  
Design Method ◽  
Frequency Control ◽  
Functional Method ◽  
Load Frequency Control ◽  
Linear Matrix ◽  
Load Frequency ◽  
The Stability

The problem of secure load frequency control of smart grids is investigated in this paper. The networked data transmission within the smart grid is corrupted by stochastic deception attacks. First, a unified Load frequency control model is constructed to account for both network-induced effects and deception attacks. Second, with the Lyapunov functional method, a piecewise delay analysis is conducted to study the stability of the established model, which is of less conservativeness. Third, based on the stability analysis, a controller design method is provided in terms of linear matrix inequalities. Finally, a case study is carried out to demonstrate the derived results.

scholarly journals Resonance Attacks on Load Frequency Control of Smart Grids

2018 ◽  
Vol 9 (5) ◽  
pp. 4490-4502 ◽  
Author(s):  
Yongdong Wu ◽  
Zhuo Wei ◽  
Jian Weng ◽  
Xin Li ◽  
Robert H. Deng
Keyword(s):  
Smart Grids ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Load Frequency
Sign in / Sign up

Export Citation Format

Share Document