Due to climate change issues, fossil fuel depletion and increasing economic pressure, "smart" cities will have significantly altered physical, social and economic systems, built upon smart infrastructure. Key infrastructure is energy, with focus on electricity. The paradigm of physical, data transfer and information flow layers of the smart city power grid is shown. Challenges of the new urban ...

In this paper, an economic emission dispatch (EED) model is developed to reduce fuel cost and environmental pollution emissions. Considering the development of new energy sources in recent years, EED problem involves thermal units with valve point effect WTs. Meanwhile, it complies demand constraint generator capacity constraints. A recurrent neural network (RNN) proposed search for local optim...

Recent advancements in artificial intelligence especially in evolutionary algorithms have enabled much efficient way to solve the constrained optimization problems in various fields of engineering. In this paper we explain the development of the optimization techniques from single criterion to multi criterion. We also address the Combined Economic and Emissions Dispatch (CEED) problem in therma...

This paper highlights the improved Adaptive Tumbling Bacterial Foraging Optimization (ATBFO) to grant better solution particularly in emission economic power dispatch issue. The proposed methodology simply takes care in solving non-convex power system issues along maintaining the requirement of all equipped constraints for healthy power delivery operation. The performances are evaluated with di...

Harmful ecological effects caused by the emission of gaseous pollutants like sulfur dioxide (SO2) and nitrogen oxides (NOx), can be reduced by load adequate distribution between power plants. However, this leads to a noticeable increase in their operating cost. In order to eliminate this conflict, and to study the trade-off relation between fuel cost and emissions, an approach to solve this mul...