الفهرس 
IntroductionOnly 14 pages are availabe for public view
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Abstract
Combination of economic dispatch and unit commitment is important matter in economic generation schedule when power demand, the generating unit conditions and spinning reserve are satisfied in a time horizon.
At present majority of the world’s electricity load is supplied by thermal power stations that is run on conventional fossil fuels. These sources are responsible for generating electricity to utilities which spend huge money for the ever increase in electricity demand. These utilities search for the most economical method to schedule their generation according to load demand. Every thermal generating unit is represented by its incremental heat rate curve which is directly proportional to the production cost. Considerable fuel input and cost can be saved by optimal allocation of generating units. However, a greater amount of fuel cost can potentially be saved by extending this optimization method to decide which of these units would work in the optimal allocation.
Unit Commitment (UC) is known as committing thermal generating units between the available ones. On the other hand, Economic Dispatch (ED) is known as optimally distributing the generation between the group of units already scheduled/committed for operation. Present day the expansion in power system has hardly been able to keep up with increase in load demand and so the power systems have been left stressed. Therefore, the UC problem is not merely to commit adequate generation but distribute it with best attention towards system security to achieve smart grid of future. Recently, energy sources cause atmospheric pollution which are of fossil fuels contain carbon dioxide, sulfur dioxide, nitrogen oxides emissions for mechanical power generation of generating units. A great attention has been considered for emission control over environmental pollution. Thus nowadays, the ED optimization technique should also consider this environmental pollution scenario which known as Economic Emission Dispatch(EED) problem.
The optimal solution of non-linear problem are solved by several traditional techniques as lambda-iteration and gradient method. At present, the soft computing techniques have received more attention and were applied to a number of practical and successful applications. In this work, a novel approach in view of Genetic Algorithm (GA) or Dynamic Programming (DP) to study UC and then a three recently nature inspired global optimization methods: BAT, Grey Wolf Optimization (GWO) and Flower Pollination Algorithm (FPA) techniques are presented to give the solution of constrained ELD problem depending on UC solution. All the techniques are studied in MATLAB environment and applied on IEEE 14 and IEEE 30 bus systems to test the demonstration of the solution quality, computation efficiency and the feasibility of the application of different algorithms for ELD problem to get the optimum solution which is at long last contrasted by Particle Swarm Optimization (PSO) and give a superior outcome.
As Wind Power Plant increments in power frameworks, its belongings to customary units ought to be examined to get the ideal arrangement. Likewise the aggregate expense relys on wind speed in a characterized timeframe. Subsequently, the mathematical methods are not suitable to locate the worldwide ideal ED.FPA is proposed to study wind power plants in ED. Different simulation cases with wind power generation are studied to show efficiency in reducing total cost.