Competition over resources optimized fuzzy TIDF controller for frequency stabilization of hybrid micro‐grid system (original) (raw)
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IEEE Access, 2021
This paper presents a fully optimized fuzzy proportional-integral-derivative with filter (FPIDF) load frequency controller (LFC) for enhancing the performance of a hybrid microgrid system. The Marine Predator Algorithm (MPA), a recent optimization algorithm, is used to optimize the gains as well as the input scaling factors and membership functions of the proposed fuzzy PIDF controller. The controller performance is tested on a two-area hybrid microgrid system containing various renewable energy sources and energy storage devices. The effectiveness of the MPA based FPIDF controller is compared with conventional PIDF and FPIDF controllers based on other heuristic techniques presented in literatures. Moreover, different scenarios are implemented in this study to verify the robustness and sensitivity of the proposed controller to different step load perturbations, system parameters variations, wind speed fluctuation and solar irradiance variation. The dynamic response of the system is compared using different controllers in terms of settling time, maximum overshoot and undershoot values. The results are presented in the form of time domain simulations conducted via MATLAB/SIMULINK. INDEX TERMS Fuzzy control, load frequency control, marine predator algorithm, microgrid system, PIDF controller, renewable energy, storage systems. NOMENCLATURE A Rotor swept area ACE Area control error B 1 , B 2 Frequency bias coefficients BES Battery energy storage CE Change of error C f Predator step size control ratio C p Power coefficient COR Competition over resources E Error FF Fitness function FLC Fuzzy logic controller FPIDF Fuzzy proportional-integral-derivative with filter G Solar radiation G c (s) Controller transfer function G STC Solar irradiance under standard test conditions The associate editor coordinating the review of this manuscript and approving it for publication was Ruisheng Diao .
DEVELOPMENT OF A LOAD FREQUENCY CONTROL SCHEME FOR AN AUTONOMOUS HYBRID MICROGRID
Zaria Journal of Electrical Engineering Technology, Department of Electrical Engineering, Ahmadu Bello University, Zaria – Nigeria., 2022
The research is aimed at developing a proportional-integral-derivative (PID) based load frequency control scheme for an autonomous hybrid microgrid using a Moth-Flame Optimization Algorithm (MFOA). This scheme is developed to ensure steady frequency at nominal value by maintaining continuous balance between the power generation and demand. The microgrid system considered in this work comprises of renewable and nonrenewable energy-based Power Generating Units and Energy storage units (PGU) and Battery Energy Storage System (BESS). These PGU and ESU are selected and combined into different microgrid architecture to actualize different scenarios for the purpose of this study. For each scenario, MFOA optimized Proportional-Integral-Derivative (PID) controllers were utilized to coordinate the microgrid operations by balancing the power generation-load demand profiles (minimizing fluctuations from the output power of the non-dispatchable sources and from sudden load change). The performance of the developed scheme was evaluated with the previous scheme based on Quasi-Oppositional Harmony Search Algorithm by comparing the responses in terms of settling time, overshoot and undershoot of the frequency deviation. From the simulations, the superiority of the developed MFOA optimized control scheme was evident with clear average percentage improvement of 38.92% on overshoot, 57.93% on undershoot and a faster settling time improvement of 33.17% for the step input scenarios when compared to the QOHSA optimized frequency controller using the same test scenario 1 parameters for the step input system perturbations. All modelling analysis was carried out in MATLAB R2019a modelling environment.
11th International Conference on Electrical Power Quality and Utilisation, 2011
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The main objective of this paper is to model and optimize the parallel and relatively complex FuzzyP+FuzzyI+FuzzyD (FP+FI+FD) controller for simultaneous control of the voltage and frequency of a micro-grid in the islanded mode. The FP+FI+FD controller has three parallel branches, each of which has a specific task. Finally, as its name suggests, the final output of the controller is derived from the algebraic summation of the outputs of these three branches. Combining the basic features of a simple PID controller with fuzzy logic that leads to an adaptive control mechanism, is an inherent characteristic of the FP+FI+FD controller. This paper attempts to determine the optimal control gains and Fuzzy membership functions of the FP+FI+FD controller using an improved Salp swarm algorithm (ISSA) to achieve its optimal dynamic response. The time-domain simulations are carried out in order to prove the superb dynamic response of the proposed FP+FI+FD controller compared to the PID control ...
An Improved Hybrid Micro-Grid Load Frequency Control Scheme for an Autonomous System
FUOYE Journal of Engineering and Technology, 2021
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 contr...
Mathematics
Reducing the emissions of greenhouse gases has directed energy sectors toward using renewable energy sources (RESs) and decreasing the dependency on conventional energy sources. Recently, developing efficient load frequency control (LFC) schemes has become essential to face the reduced inertia due to RESs installations. This paper presents a modified tilt fractional order (FO) integral–tilt FO derivative with a fractional filter (TFOI-TFODFF or namely TIλ-TDμFF) LFC method. Although the proposed controller uses the same elements of standard controllers, it adopts FO control capabilities and flexibilities, including the tilt, FO integral, FO derivative, and FO filter. Thence, a new control structure is obtained, merging the advantages of both controllers. Moreover, the proposed TFOI-TFODFF controller employs two control loops to be able to mitigate low-frequency as well as high-frequency disturbances in power grids. Additionally, a new modified marine predator algorithm (MMPA) is pro...
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This paper addresses to integrate an optimal proportional-integrator-derivative controller for frequency regulation in an isolated microgrid power system based renewable generation. This autonomous microgrid system is composed of distributed energy sources like wind, solar, diesel engine generator, fuel cells system, and two different storage devices such as battery energy storage system and flywheel energy storage system. Optimal tuning of the investigated controller is considered as the main problem to be resolved using the Krill Herd algorithm through an objective function. The obtained results are also accomplished with and without the battery energy storage system. The comparison of system performance shows that the proposed control scheme based Krill Herd algorithm is better than the genetic algorithm in the improvement of system performance. 1. INTRODUCTION Electricity plays an important role in all sides of human life. Therefore the increase of the world energy demand, due to the population growth, modern industrial society and the environment pollution, is moved the world towards renewable energy sources as the solution of these issues related to the energy demand, high fuel cost, and greenhouse problems, to enhance power quality issues and energy efficacy[1]. Out of all renewable energy units, wind and solar systems are considered as secured and reliable sources and being installed widely. These generation units have obtained popularity because of the environment-friendly characteristics and they are inexhaustible energy sources as well as fast development in the technologies [2]. The use of these sources recently attended a salient increase according to the countries' development and environmental pollutions. The generation powers from this renewable generation are intermittent that causes some mismatches between produced power and demanded one. This affects the microgrid operation and causes instability in the frequency and power of the hybrid energy system [3]. To tackle this problem, some storages energy systems like BESS and FESS along with conventional sources like Diesel Engine and Fuel Cell systems are integrated into the concept of the hybrid energy system that is considered as the microgrid. Many types of research interest in the modeling and control of these kinds of