Enhancement of Power System Operation Using Modern Optimization Techniques
Zeinab Gamal Hasan Moussa;
Abstract
Combination of economic dispatch and unit commitment is important matter in economic generation schedule when power demand, thegenerating 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 moneyfor the ever increase in electricity demand. These utilities search forthe 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 inload demand and so the power systems have been left stressed. Therefore, the UCproblem is not merely to commit adequate generation but distribute it with best attention towards system security to achieve smart grid of future. Recently, energy sourcescause atmospheric pollution whichare of fossil fuels containcarbon dioxide, sulfur dioxide, nitrogen oxides emissionsfor mechanical power generationof 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
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 moneyfor the ever increase in electricity demand. These utilities search forthe 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 inload demand and so the power systems have been left stressed. Therefore, the UCproblem is not merely to commit adequate generation but distribute it with best attention towards system security to achieve smart grid of future. Recently, energy sourcescause atmospheric pollution whichare of fossil fuels containcarbon dioxide, sulfur dioxide, nitrogen oxides emissionsfor mechanical power generationof 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
Other data
| Title | Enhancement of Power System Operation Using Modern Optimization Techniques | Other Titles | تحسين تشغيل نظم القوى الكهربية باستخدام طرق امثله حديثة | Authors | Zeinab Gamal Hasan Moussa | Issue Date | 2019 |
Recommend this item
Similar Items from Core Recommender Database
Items in Ain Shams Scholar are protected by copyright, with all rights reserved, unless otherwise indicated.