الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
Modern power system is a complex network that includes electrical power
generation, transmission, and distribution systems. With increasing of the demand power and decreasing of the fuel resources, so it is very important
to utilize energy in an efficient manner. In order to utilize energy efficiently, the cost must be as less as possible and this possesses a requirement to develop scheduling methods that accommodate generation diversity and its constraints.
This thesis introduces solving the Economic Dispatch (ED) problems by
Imperialist Competitive Algorithm (ICA) by allocating the load demand
among the available thermal units to keep the operating cost of the thermal
units minimized as possible. ICA algorithm has been applied on three
systems (6-15-40 units) with various restrictions as generation limits, Ramp
Rate Limits (RRL), Prohibited Operating Zones (POZ), Valve Point Loading
(VPL), and Transmission Losses (TL). Economic dispatch problems are
considered complex, nonlinear problems.
ICA algorithm exceeds other algorithms and introduces good results.in
addition to exceed the modified algorithms such as Weight Improved PSO
(WIPSO), Moderate-Random-Search Particle Swarm Optimization (MRPSO), Modified Jaya Algorithm (jaya-M), and hybrid algorithms such as Hybrid Modified Particle Swarm Optimization and Genetic Algorithm (MPOGA). On the other hand, this thesis introduces Short-Term Hydro Thermal Scheduling (STHTS) problems which aim to minimize the fuel cost of the thermal generation by satisfying the constraints of hydro and thermal
generation units such as load balance, operating capacity of hydro and
thermal generation units, water discharge limits, upper and lower bounds on reservoir volumes, and hydraulic continuity restrictions.