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This work presents a novel dual optimized controller to damp intra plant and inter area oscillations in power system. The parameters of controllers are tuned by a novel hybrid Differential Evolution-Grey Wolf Optimizer (DE-GWO). The dual optimized controller simultaneously controls two independent variables of UPFC there by maximizing the efficacy of controller and UPFC. The effectiveness of proposed...
This research article explains about the implementation of a novel PD-PID cascaded controller for automatic generation control of a two area multisource interconnected power system where in each area three types of generating sources are incorporated namely gas, hydro and thermal unit. Teaching learning based optimization technique is used for optimization of the scaling factors of the proposed PD-PID...
This research paper describes the automatic generation control of a three thermal interconnected system where each area is provided with a reheat thermal unit. The dynamic stability of this multi-area system is regulated by PD-PID cascaded controller optimized by grey wolf optimization algorithm. Each area is provided by proper generation rate constraints (GRC) in order to consider system nonlinearities...
There were monopoly markets all over the world in power generation and also in the power distribution sectors. After 1990s many countries had changed their economics of electricity market, where the participants are the Independent power producers(IPPs), who submit the amount of energy they can provide to the market at any particular trading hour and the price they will charge for the same, and the...
This paper presents grey wolf optimization(GWO), which is a recently reported novel meta-heuristic optimizer, applied to optimize the damping controller parameters for a unified power flow controller connected to a single machine infinite bus power system for power oscillation damping. In this work the proposed GWO algorithm is compared with PSO algorithm in terms of convergence rate and computation...
In this paper, a new optimization technique known as Teaching Learning Based Optimization (TLBO) algorithm is proposed so that the Gencos and large consumers participating in bidding in the day ahead competitive electricity market can suitably bid so as to govern the MCP (Market Clearing Price) in their favour. Here other small consumers are present in aggregate form. The auction process continues...
This paper deals with the automatic generation control of a two area interconnected multi source power system using PID controller optimized by Hybrid DEPSO algorithm. Here in each area three types of of sources are being considered namely thermal, hydro and gas power plant. The system performance is analyzed with and without HVDC link. The gains of PID controllers are optimized considering integral...
In this paper a microgrid model has been taken which comprises a DFIG based wind firm, a solar farm and the normal grid voltage. A DSTATCOM is used in this model for the mitigation of harmonics. This paper also presents us a novel controller for DSTATCOM the SRF(Synchronous reference frame) controller. The Kp and the Ki values of the two PI blocks present in the proposed controller has been optimized...
In this work a recently reported novel meta-heuristic optimizer called grey wolf optimization(GWO) has been applied to optimize the weighty parameters in automatic generation control(AGC) of interconnected three unequal area thermal system, such as gain constant of PID controller (Kpi, KIi, Kdi). A three unequal area interconnected system is studied as a test system under different loading conditions,...
This article describes the automatic generation control of a two area multi-unit interconnected power system with Proportional-Integral-Derivative controller with Filter (PIDF) tuned by teaching learning based optimization (TLBO) algorithm. Each area is equipped with three reheat thermal units with hydraulic amplifiers. The gains of the PIDF controllers are simultaneously optimized by applying a step...
This paper focuses on the load frequency control of two area interconnected reheat thermal systemwith fuzzy-PID controller optimized by gravitational search algorithm(GSA). The gains of the fuzzy-PID controllers are optimized by providing a step load perturbation(SLP) of 1% to area 1in consideration of integral time absolute error(ITAE) as the objective function. The dynamic performances of the system...
This research article discuss about the optimal fuzzy-PID controller tuned by hybrid differential evolution-particle swarm optimization (DEPSO) for automatic generation control of a two area multi-unit interconnected power system. Here the scaling parameters of the suggested controllers are tuned considering a step load perturbation (SLP) of 0.01p.u. in the area1.In each area of the scrutinized system...
In this research paper an optimal 2-Degree freedom of proportional-integral-derivative controller (2-DOF PID) tuned by grey wolf optimization(GWO) is suggested for automatic generation control (AGC) of a multi-source power system comprising of two areas where each area contains a thermal unit, a hydro unit and a gas unit. The active response of the system is observed under two cases: with AC tie-line...
This work proposes hybrid DE-PSO algorithm to tune the parameters of UPFC based lead-lag controller. Both DE and PSO are two powerful meta-heuristic optimization techniques with different special features. These specialities are combined together in hybrid DE-PSO algorithm. The parameters of UPFC based lead-lag controller are optimized by this hybrid DE-PSO algorithm by taking integral time absolute...
This paper proposes the design of an optimized dual UPFC controller for damping power system oscillations, where modulation index of series converter and phase angle of shunt converter voltage are controlled simultaneously. The dual damping controller parameters are optimized by a recently reported metaheuristic optimization technique known as Grey Wolf Optimizer (GWO). This is a simple technique...
This paper presents a nonlinear controller based on the fuzzy sliding-mode control technique to improve the transient stability of the power system. The rapid response of a controller is very desirable to damp transient power oscillation in the power system which is achieved with this control technique by shifting the sliding surface closer to the error trajectory using fuzzy logic. By this the sliding...
This paper proposes a novel control technique for the DSTATCOM. The DSTATCOM in this paper is connected to a distribution system with a DFIG based wind farm acting as a source. The DFIG here is considered to be operating in islanding mode. There are a large number of DSTATCOM controllers proposed. In this paper a novel optimised Icosf controller is proposed to reduce the THD level. The controller...
The concept of Renewable energy generation in recent era has gained more importance and the most viable source in the field of renewable power generation is wind energy. Various power quality problems arise due to the rapid injection of wind power in the electrical grid. Harmonics and various power quality problems like voltage sag and swell are of common occurrence due to the voltage injected by...
The enactment of Microgridsystems within the network materializes as a surrogate that may be used during blackouts when some areas like electrical transport system, financing activities, academic institutes, industries, health centres with emergencies, some communication systems fail to operate. In the modernistic scenario,the ever proliferating performance of power electronic devices has changed...
The methodology in this study is based on fieldwork, primary and secondary data collection, and analysis and displaying of the results. GIS was used in different ways, such as in preparing coverage for interpretation and in planning and decision-making. Different categories of distance were used to determine the delineation of service area of selective functions. The result shows that within a 5 km...
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