Dynamic economic load dispatch (DELD) is one of the major operational decisions in power system operation and control. It is a Dynamic problem due to dynamic nature of Power system and the large variation of load demand. This absolute problem is normally solved by discretisation of the entire dispatch period into a number of small time intervals over which the load is assumed to be constant and the system is considered to be in temporal steady state. This paper presents particle swarm optimization technique to solve the DELD problem for the determination of the global or near global optimum dispatch solution.To illustrate the effectiveness of the proposed approach, three test systems consisting of 5,10 and 15 generating units, with incorporation of load balance constraints, operating limits, valve point loading, ramp constraints and network lossesare considered and tested. The comparison of numerical results demonstrate the performance and applicability of the proposed method.

<p>Nowadays, the power of impact elements and the proximity and defense areas exist and are increasing exponentially. To аlleviаte these рrоblems, renew the energy sоurсes suсh аs рhоtоvоltаiсs, wind power, and other things that are made to be taken. This is considered to be a night and night use of static synchronous compensator (STATСОM) to meet the release of lоаd. Sоlаr fаrm photovoltaic (РV) рrоduсes energy during the night and not completely trapped at night. During dаy, the inverter is used for normal operation and at midnight, it is used to meet load demand more efficiently by controlling voltage, current, active, and reactive power. The proposed strategy is validated in the MATLAB/Simulink software and compared with the existing schemes such as cat swarm optimization-particle swarm optimization (CSO-PSO) and tree seed algorithm (TSA) with recurrent neural network (RNN).</p>

Abstract-This paper presents a new approach to determine the optimal hourly schedule of power generation in a hydrothermal power system using PSO technique.. The simulation results reveal that the proposed PSO approach appears to be the powerful in terms of convergence speed, computational time and minimum fuel cost.

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Consumer utilities are non -linear in nature. This injects increased flow of current and reduced voltage with distortions which cause adverse effect on the stability of consumer utilities. To overcome this problem we are using a modern Flexible Alternating Current Transmission System controller i.e. distributed power flow controller (DPFC). This controller is similar to UPFC, which can be installed in a transmission line between the two electrical areas. In DPFC, instead of the common Dc link capacitor three single phase converters are used. In this paper we are concentrating on system stability (oscillation damping). For analyzing the stability of a single machine infinite bus system (SMIB) we have used PI controlled Distributed Power Flow Controller (DPFC) and Fuzzy controlled DPFC. All these models are simulated using MATLAB/SIMULINK. Simulation results shows Fuzzy controlled DPFC are better than PI controlled DPFC. The significance of the results are better stability and constant power supply.