Real Power Loss Reduction by Melon Fly Optimization and Spontaneous Process Algorithm’s

Reduction of real power loss by using Kudu Herd Algorithm

In this paper, a new Bio-inspired algorithm, namely kudu herd algorithm (KHA) is proposed for solving reactive power dispatch problem. A population of candidate solution approach as a herd of kudus carries out a succession of jumps through the search space in order to find the most excellent solution. The logic of this algorithm is quite different from that of most population based algorithms, ...

Voltage Collapse Enhancement and Loss Reduction by Reactive Power Reserve

Now a day modern power industry is facing the problem of voltage instability due to stressed conditions and heavy load .The main cause for the voltage instability is the in sufficient reactive power at the load buses of the system. This paper deals with the problem of reactive power reserve management and voltage collapse point enhancement and loss reduction. Simulation is performed on the IEEE...

Reduction of Carbon Dioxide Emission in Thermal Power Plants using Fire Fly Optimization Technique

Global Warming is the greatest challenge that the world is facing today. It is very important to take preventive measures before this problem poses a serious threat to the mankind. Power Plants play a major role in green house gas emissions. Nearly 21.3% of green house gases are emitted by these power plants alone. In this paper we try to propose a computational approach to reduce these carbon ...

Reduction of Carbon Dioxide Emission in Thermal Power Plants using Fire Fly Optimization Technique

Analysis and Optimization of Power Transmission Grids by Genetic Algorithms

Two applications of multi-objective genetic algorithms (MOGAs) are reported with regards to the analysis and optimization of electrical transmission networks. In a first case study, an analysis of the topological structure of a network system is carried out to identify the most important groups of elements of different sizes in the network. In the second case study, an optimization method is de...