In recent years heterogeneous multi-core systems have been given much attention. However, performance optimization on these platforms remains a big challenge. Optimizations performed by compilers are often limited due to lack of dynamic information and run time environment, which makes applications often not performance portable. One current approach is to provide multiple implementations for t...

• Amit Saraswat and Ashish Saini, “Principal Component Analysis Based Real Coded Genetic Algorithm for Optimal Reactive Power Dispatch”, Int. J. of Power and Energy Conversion (IJPEC), Inderscience. (In Press) • Amit Saraswat and Ashish Saini, “Optimal Reactive Power Dispatch by an Improved Real Coded Genetic Algorithm with PCA Mutation” Proc. of IET, Second Int. Conf. on Sustainable Energy and...

There are several reasons to explain why transmission system loading is less than 100%. These reasons include: (i) reliability, (ii) uncertainties associated with the demand growth forecast and (iii) different dispatch scenarios due to Renewable Energy Sources (RES), i.e., hydroelectricity, modern biomass, wind and solar power. The combination of these facts leads to high investments in the tra...

Dynamically typed object-oriented languages must perform dynamic binding for most message sends. Typically this is slow. A number of papers have reported on attempts to adapt C++-style selector table indexing to dynamically typed languages, but it is difficul to generate space-efficient tables. Our algorithm generates considerably smaller dispatch tables for languages with single inheritance th...

— In this paper, comparative study of two methods, Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) is used to solve Economic dispatch problem in power systems. The feasibility of both the methods is demonstrated for a six-generator system and a fifteengenerator system. The results from the experiments show that the PSO method gives a better quality solution to the Economic Dispatch...

We present F(Eml), a language that combines classes, extensible functions, symmetric multiple dispatching, and a practical system for parameterized modules. Parameterized modules permit subclasses and function extensions to be defined and typechecked once, and then reused to extend multiple argument modules. F(Eml)’s predecessor, Eml, supported classes and extensible functions with multiple dis...

An efficient and optimum economic operation of electric power generation systems has always occupied an important position in the electric power industry. This involves allocation of the total load between the available generating units in such a way that the total cost of operation is kept at a minimum. In recent years this problem has taken a suitable twist as the public has become increasing...

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...

Feature-based composition essentially complements object-oriented composition by enabling the coherent extension of multiple entities (objects, classes) such that an integral feature can be the subject of composition – rather than fragments of features. The conventional object model of state-of-the-art OO programming languages does not incorporate the notion of feature dispatch however, and, th...

This paper a Multi-objective Honey Bee Mating Optimization (MOHBMO) is proposed for Environmental/ Economic Power Dispatch (EED) problem. This paper proposes a new environmental/economic load dispatch model that considers cost and emission function coefficients with uncertainties and the constraints of ramp rate. Due to the environmental concerns that arise from the emissions produced via fossi...