A modified whale optimization algorithm-based adaptive fuzzy logic PID controller for load frequency control of autonomous power generation systems

An autonomous power generation system (APGS) contains units such as diesel energy generator, solar photovoltaic units, wind turbine generator and fuel cells along with energy-storing units such as the flywheel energy storage system and battery energy storage system. The components either run at lower/higher power output or may turn on/off at different instants of their operation. Due to this, the conventional controllers will not provide desired performance under varied load conditions. This paper proposes an adaptive fuzzy logic PID (AFPID) controller for load frequency control. In order to achieve an improved performance, a modified whale optimization algorithm (mWOA) was also proposed in this paper for tuning of the AFPID parameters. The proposed algorithm was first evaluated using standard test functions and compared with other recent algorithms to authenticate the competence of algorithm. The proposed mWOA algorithm outperforms PSO, GSA, DE and FEP algorithms in five out of seven unimodal test functions and four out of six multimodal test functions. The effectiveness of the AFPID compared with the conventional PID and the proposed AFPID provides better performance. Reduction of 39.13% in error criteria (objective function) compared with WOA-PID controller. The proposed approach was also compared with some recently proposed frequency control approaches in a widely used two-area test system

A new control strategy based multi converter UPQC using fuzzy logic controller to improve the power quality issues

A design of multiconverter unified power quality conditioner to improve the power quality issues is presents in this paper. Modified SRF theory and fuzzy logic controller technique are incorporated in this modelling. This newly designed controller is connected to a source in order to compensate voltage and current in the two feeders. The expanded concept of UPQC is multi converter-UPQC; this system has two series voltage source converter (VSC) and one shunt VSC connected back to back. In the proposed system, the power can be conveyed from one feeder to another in order to mitigate the voltage sag, swell, interruption and transient response of the system. The control strategies of multi converter-UPQC are designed based on the modified synchronous reference frame theory with fuzzy logic controller. The transient response of the fuzzy logic controller in dc-link voltage controller will be very fast. The relevant simulation and compensation performance analysis of multi converter-UPQC with fuzzy logic controller is performed using MATLAB/Simulink software

Design of two feeder three phase four wire distribution system utilizing multi converter UPQC with fuzzy logic controller

This paper proposes the instantaneous p-q theory based fuzzy logic controller (FLC) for multi converter unified power quality conditioner (MC-UPQC) to mitigate power quality issues in two feeders three-phase four-wire distribution systems. The proposed system is extended system of the existing one feeder three-phase four-wire distribution system, which is operated with UPQC. This system is employed with three voltage source converters, which are connected commonly to two feeder distribution systems. The performance of this proposed system used to compensate voltage sag, neutral current mitigation and compensation of voltage and current harmonics under linear and nonlinear load conditions. The neutral current flowing in series transformers is zero in the implementation of the proposed system. The simulation performance analysis is carried out using MATLAB

Design and Implementation of Fuzzy Logic Controller for Online Computer Controlled Steering System for Navigation of a Teleoperated Agricultural Vehicle

This paper describes design, modeling, simulation, control, and implementation of teleoperated agricultural vehicle using intelligent technique. This vehicle can be used for ploughing, sowing, and soil moisture sensing. Online computer controlled steering system for a vehicle utilizing two independent drive wheels can be used to avoid obstacles and to improve the ability to resist external side forces. To control the steer angles of the nondriven wheels, the mathematical relationships between the drive wheel speeds and the steer angles of the nondriven wheels are used. A fuzzy logic controller is designed to change the drive wheel speeds and to achieve the desired steer angles. Online control of the agricultural vehicle is achieved from a remote place by means of Web Publishing Tool in LabVIEW. IR sensors in the vehicle are used to detect and to avoid the obstacles around. The developed steering angle control algorithm and fuzzy logic controller have been implemented in an agricultural vehicle which depicts that the vehicle performs its operation efficiently and reduces the manpower and becomes advantageous

Low Voltage Capability of Generator for Frequency Regulation of Wind Energy System

For the extraction of wind energy through a doubly fed induction generator (DFIG), low voltage is major particular essential controlled by the transmission structure executive. Under a structure issue condition, DFIG should remain with respect to the lattice for a particular least period and deal open power support on a case-by-case basis by the Transmission framework administrator. A pleasant control plot involving gear course of action through a superconducting resistance type issue current limiter (R-SFCL) and programming plan based on the rotor reference current direction control system (RRCOCS) with transient voltage control (TVC), is proposed in this paper to address the Low voltage essential. The results got by the proposed procedure are differentiated and RRCOCS and RRCOCS-TVC

PATTERNS OF PRESCRIPTION AND ADR MONITORING OF DRUGS IN THE MANAGEMENT OF NEUROPATHIC PAIN IN A TERTIARY CARE TEACHING HOSPITAL

Objective: Neuropathic pain arises from damage or pathological changes in the peripheral or central nervous system. The pain is difficult to treat as standard treatment with conventional analgesics doesn`t typically provide effective relief of pain. Methods: It was a one-year study of utilization and analysis of prescriptions for PNDs (Painful neuropathic disorders). The parameters evaluated were demographic profile of the patient (age and gender), type and etiology of PNDs, drug data (name of the group of drugs with individual drugs, mono or polytherapy, number of drugs per prescription, formulation) and associated adverse drug reactions (ADR) with the prescribed drug. Results: Maximum number of patients of PNDs resides in the age group of 18 – 35 yrs (41.2%) and more common in females. The most common PND encountered was painful diabetic neuropathy (43.9%) followed by cervical and lumbar radiculopathy, postherpetic neuralgia. 2942 drugs were prescribed in 1020 prescriptions out of which 96.8% were oral and 3.2% were topical formulations. Most frequently prescribed group of the drug was tricyclic antidepressants (27.3%) followed by anticonvulsants (25.3%). Polypharmacy was seen 89.7% as compared to monotherapy (10.3%). Only 132 ADRs of various types were seen. The most common organ system affected was the central nervous system followed by gastro intestinal systems. The most common drugs implicated for ADRs were TCAs (24.4%), anticonvulsants (16.6%), and Pregabeline (9.8%). There were no fatal adverse events. Mild to moderate ADRs included constipation, nausea, vomiting, drowsiness, dryness of mouth. Conclusions: The choice of drug depends on etiology of neuropathic pain, drug efficacy and availability and also on ADR profile

PATTERNS OF PRESCRIPTION AND ADR MONITORING OF DRUGS IN THE MANAGEMENT OF NEUROPATHIC PAIN IN A TERTIARY CARE TEACHING HOSPITAL

Objective: Neuropathic pain arises from demage, or the pathological changes in the peripheral or central nervous sytem. The pain is difficult to treat as standard treatment with conventional analgesics doesn`t typically provide effective relief of pain. Methods: It was a one year study of utilization and analysis of prescriptions for PNDs (Painful neuropathic disorders). The parameters evaluated were demographic profile of the patient (age and gender), type and etiology of PNDs, drug data (name of the group of drugs with individual drugs, mono or polytherapy, number of drugs per prescription, formulation) and associated adverse drug reactions(ADR) with the prescribed drug. Results: Maximum number of patients of PNDs resides in the age group of 18 – 35 yrs (41.2%) & more common in females. The most common PND encountered was painful diabetic neuropathy (43.9%) followed by cervical and lumbar radiculopathy, post herpetic neuralgia. 2942 drugs were prescribed in 1020 prescriptions out of which, 96.8% were oral and 3.2% were topical formulations. Most frequently prescribed group of drug was tricyclic antidepressant (27.3%) followed by anticonvulsants (25.3%). Polypharmacy was seen 89.7% as compared to monotherapy (10.3%). Only 132 ADRs of various types were seen. The most common organ system affected was central nervous system followed by gastro intestinal systems. The most common drugs implicated for ADRs were TCAs (24.4%), anticonvulsants (16.6%), and Pregabeline (9.8%). There were no fatal adverse events. Mild to moderate ADRs included constipation, nausea, vomiting, drowsiness, dryness of mouth. Conclusions: The choice of drug depends on etiology of neuropathic pain, drug efficacy and availability and also on ADR profile

Automatic Generation Control by Hybrid Invasive Weed Optimization and Pattern Search Tuned 2-DOF PID Controller

A hybrid invasive weed optimization and pattern search (hIWO-PS) technique is proposed in this paper to design 2 degree of freedom proportionalintegral- derivative (2-DOF-PID) controllers for automatic generation control (AGC) of interconnected power systems. Firstly, the proposed approach is tested in an interconnected two-area thermal power system and the advantage of the proposed approach has been established by comparing the results with recently published methods like conventional Ziegler Nichols (ZN), differential evolution (DE), bacteria foraging optimization algorithm (BFOA), genetic algorithm (GA), particle swarm optimization (PSO), hybrid BFOA-PSO, hybrid PSO-PS and non-dominated shorting GA-II (NSGA-II) based controllers for the identical interconnected power system. Further, sensitivity investigation is executed to demonstrate the robustness of the proposed approach by changing the parameters of the system, operating loading conditions, locations as well as size of the disturbance. Additionally, the methodology is applied to a three area hydro thermal interconnected system with appropriate generation rate constraints (GRC). The superiority of the presented methodology is demonstrated by presenting comparative results of adaptive neuro fuzzy inference system (ANFIS), hybrid hBFOA-PSO as well as hybrid hPSO-PS based controllers for the identical system