scholarly journals An Improved Hybrid Micro-Grid Load Frequency Control Scheme for an Autonomous System

2021 ◽  
Vol 6 (4) ◽  
Author(s):  
Ibrahim Abdulwahab ◽  
Shehu A. Faskari ◽  
Talatu A. Belgore ◽  
Taiwo A. Babaita
Keyword(s):  
Energy Storage ◽  
Search Algorithm ◽  
Frequency Control ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Load Frequency Control ◽  
Control Scheme ◽  
Micro Grid ◽  
Grid Load ◽  
Moth Flame Optimization Algorithm

This paper presents an improved hybrid micro-grid load frequency control scheme for an autonomous system. The micro-grid system comprises of renewable and non-renewable energy-based Power Generating Units (PGU) which consist of Solar Photovoltaic, WT Generator, Solar Thermal Power Generator, Diesel Engine Generator, Fuel Cell (FC) with Aqua Electrolizer (AE). However, power produce from renewable sources in microgrid are intermittent in supply, hence make it difficult to maintain power balance between generated power and demand. Therefore, Battery energy storage system, ultra-capacitor and flywheel energy storage systems make up the energy storage units. These separate units are selected and combined to form two different scenarios in this study.  This approach mitigates frequency fluctuations during disturbances (sudden load changes) by ensuring balance between the generated power and demand. For each scenario, Moth flame optimization algorithm optimized Proportional-Integral controllers were utilized to control the micro-grid (to minimize fluctuations from the output power of the non-dispatchable sources and from sudden load change). The results of the developed scheme were compared with that of Quasi-Oppositional Harmony Search Algorithm for overshoot and settling time of the frequency deviation. From the results obtained, the proposed scheme outperformed that of the quasi-oppositional harmony search algorithm optimized controller by an average percentage improvement of 35.95% and 28.76% in the case of overshoot and settling time when the system step input was suddenly increased. All modelling analysis were carried out in MATLAB R2019b environment. Keywords—Frequency Deviation, Micro-grid, Moth flame optimization algorithm, Quasi-Oppositional Harmony Search Algorithm.

Tuning of PID Controller for Load Frequency Control Problem via Harmony Search Algorithm

2016 ◽  
Vol 1 (2) ◽  
pp. 255 ◽  
Author(s):  
M. Omar ◽  
M. A. Ebrahim ◽  
A. M. Abdel Ghany ◽  
F. Bendary
Keyword(s):  
Search Algorithm ◽  
Frequency Control ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Load Frequency Control ◽  
Pid Controllers ◽  
Centralized Control ◽  
Artificial Intelligence Technique ◽  
Load Frequency ◽  
Control Scheme

In this paper, a new artificial intelligence technique, Harmony Search (HS), will be used for the optimization of a classical order PID for a two-area load frequency control (LFC) model using the participation factor concept. The HS has four main variants, these variants had been used for the optimization of classical order PID controllers in case of centralized control scheme, the results had been compared to select and recommend the best HS variant. Then, this best HS variant had been used for the tuning of PID controllers in case of decentralized scheme.

Optimal Design of PID Controller for Load Frequency Control using Harmony Search Algorithm

2017 ◽  
Vol 5 (1) ◽  
pp. 19 ◽  
Author(s):  
D. K. Sambariya ◽  
Seema Shrangi
Keyword(s):  
Pid Controller ◽  
Search Algorithm ◽  
Frequency Control ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Simulation Software ◽  
Load Frequency Control ◽  
Comparative Performance ◽  
Computing Technique ◽  
Comparative Results

This paper deals with soft computing technique, used for tuning PID controller. Controller tuned with a harmony search algorithm is used for controlling the frequency and Tie-line power responses of a non reheat two area power system. Step load perturbation has been given in both areas simultaneously. The dynamic results obtained by the proposed controller are compared with PID controller of recent published paper. The performance of the controllers is simulated using MATLAB/Simulation software. The results of tuned PID are compared with conventional controller on the basis of settling-time, peak over-shoot and peak under-shoot. Proposed PID gives better results than the conventional controller. The comparative results<br />also tabulated as a comparative performance.

Sign in / Sign up

Export Citation Format

Share Document