In this paper proposed optimal solution for Economic Dispatch (ED), problem has been suggested by Particle Swarm Optimization (PSO). PSO could schedule operating generator with to consider fuel cost, satisfying load demand and operational constraints so that optimization results are obtained. article, the ED is formulated as a single objective considering cost of generating units. Test cases, h...

Scarcity of energy resources, increasing power generation cost and ever-growing demand for electric energy necessitates optimal economic dispatch in today’s power systems. The main objective of economic dispatch is to reduce the total power generation cost, while satisfying various equality and inequality constraints. Traditionally in economic dispatch problems, the cost function for generating...

In this paper particle swarm optimization with smart inertia factor (PSO-SIF) algorithm is proposed to solve combined heat and power economic dispatch (CHPED) problem. The CHPED problem is one of the most important problems in power systems and is a challenging non-convex and non-linear optimization problem. The aim of solving CHPED problem is to determine optimal heat and power of generating u...

A numerical optimization methodology is applied to improve the design of a microchannel structure used in a valveless micropump. The flow simulation algorithm employs the control volume method for Cartesian grids, while advanced numerical techniques are implemented for automatic generation of unstructured, adaptively refined grids and for the representation of irregular boundaries. Several geom...

In this paper, we study a method to construct a multivariate counting process with positive dependencies between the event occurrences. Conditional on a random effect with a positive stable distribution, the univariate counting processes are independent non-homogeneous Poisson processes with a power intensity function. The applicability of the model is illustrated in three examples: a horse rac...

This paper presents Water Evaporation Optimization (WEO) algorithm for solving Economic Dispatch (ED) problem with multiple fuel options. The objective of the problem is to identify the most economical fuel for each generating unit in order to minimize the total fuel cost while satisfying system constraints. The valve point loading effects should also be considered to obtain a realistic and mor...

Clinical trials of medical therapy to prevent progression in calcific aortic valve disease (CAVD) are hampered by the lack of sensitive measures of disease activity in the valve leaflets. Although the long-term goal of therapy is to prevent adverse cardiovascular outcomes, including mortality and aortic valve replacement, these end points have several limitations. First, the hard end point of m...