Economic Load Dispatch with the Proposed GA Algorithm for Large Scale System
Hamed Aliyari,
Reza Effatnejad,
Ardavan Areyaei
Issue:
Volume 3, Issue 1, February 2014
Pages:
1-5
Received:
7 January 2014
Published:
20 February 2014
Abstract: Economic load dispatch (ELD) have been applied to obtain optimal fuel cost of generating units. Genetic Algorithm (GA) is a global search technique based on principles inspired from the genetic and evolution mechanism observed in natural biological systems. This paper presents a novel stochastic Genetic Algorithm approach to solve the Economic Load Dispatch problem considering various generator constraints and also conserves an acceptable system performance in terms of limits on generator real and reactive power outputs bus voltages, shunt capacitors/reactors, transformers tap-setting and power flow of transmission lines. The ELD problem in a power system is to determine the optimal combination of power outputs for all generating units which will minimize the total fuel cost while satisfying all practical constraints. To show its efficiency and effectiveness, the proposed GA algorithm is applied to some types of ED problems containing non-smooth cost functions of 13 and 40 generating units systems (large scale systems). The experimental results show that the proposed GA approach is comparatively capable of obtaining higher quality solution.
Abstract: Economic load dispatch (ELD) have been applied to obtain optimal fuel cost of generating units. Genetic Algorithm (GA) is a global search technique based on principles inspired from the genetic and evolution mechanism observed in natural biological systems. This paper presents a novel stochastic Genetic Algorithm approach to solve the Economic Load...
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Does a Windfall Lead to a Downfall? A Study of Mineral Rents and Genuine Growth in Selected African Countries
Ishmael Ackah,
Dankwa Kankam,
Kwaku Appiah- Adu
Issue:
Volume 3, Issue 1, February 2014
Pages:
6-10
Received:
25 March 2014
Accepted:
8 April 2014
Published:
10 April 2014
Abstract: The mining industry helps governments to increase revenues resulting in job creation, infrastructural development and enhancing the standard of living of the local communities. However, it is also a potential source of environmental pollution and rent-seeking. This study examines the relationship between mineral rents and genuine income in a multivariate panel data analysis in Botswana, Egypt, Ghana, Morocco, South Africa and Zambia at the aggregate and industrial levels. The findings suggest that mineral revenues have been a blessing to these countries at the aggregate level but affected industrial growth negatively. These findings support evidence in the literature that mineral resource abundance slows growth in industrial output. The study also reveals that growth in mineral rich countries is principally driven by investment in capital and energy consumption. It is therefore recommended that mineral revenues should be invested in capital and alternative energy sources to boost aggregate and industrial growth.
Abstract: The mining industry helps governments to increase revenues resulting in job creation, infrastructural development and enhancing the standard of living of the local communities. However, it is also a potential source of environmental pollution and rent-seeking. This study examines the relationship between mineral rents and genuine income in a multiv...
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