Optimal dispatch of spinning reserve in a competitive electricity market using genetic algorithms

Ancillary service plays a key role in maintaining operation security of the power system in a competitive electricity market. The spinning reserve is one of the most important ancillary services that should be provided effectively. This paper presents the design of an integrated market for energy and spinning reserve service with particular emphasis on coordinated dispatch of bulk power and spinning reserve services. A new market dispatching mechanism has been developed to minimize the cost of service while maintaining system security. Genetic algorithms (GA) are used for finding the global optimal solutions for this dispatch problem. Case studies and corresponding analyses have been carried out to demonstrate and discuss the efficiency and usefulness of the proposed method.

Wireless telemedicine for the delivery of specialist paediatric services to the bedside

A mobile interactive online health system was used to conduct virtual ward rounds at a regional hospital which had no specialist paediatrician. The system was wireless, which allowed telepaediatric services to be delivered direct to the bedside. Between December 2004 and May 2005, 43 virtual ward rounds were coordinated between specialists based in Brisbane and local staff at the Gladstone Hospital. Eighty-six consultations were provided for 64 patients. The most common conditions included asthma (27%), chest infections (12%), gastroenteritis (10%) and urinary tract infections (10%). In the majority of cases, there were partial (67%) or complete changes (11%) in the clinical management of patients. Specialist services were offered by a team of 13 clinicians at the Royal Children's Hospital: 10 general paediatricians, two physiotherapists and one registered nurse. Feedback from all consultants involved in the service and local staff in Gladstone was extremely positive. In 43 videoconference calls there were three technical problems, probably due to an intermittent mains power supply at the regional hospital. There appears to be potential for other rural and regional hospitals to adopt this model of service delivery.

Superstring: A scalable service discovery protocol for the wide-area pervasive environment

Arguably, the world has become one large pervasive computing environment. Our planet is growing a digital skin of a wide array of sensors, hand-held computers, mobile phones, laptops, web services and publicly accessible web-cams. Often, these devices and services are deployed in groups, forming small communities of interacting devices. Service discovery protocols allow processes executing on each device to discover services offered by other devices within the community. These communities can be linked together to form a wide-area pervasive environment, allowing processes in one p u p tu interact with services in another. However, the costs of communication and the protocols by which this communication is mediated in the wide-area differ from those of intra-group, or local-area, communication. Communication is an expensive operation for small, battery powered devices, but it is less expensive for servem and workstations, which have a constant power supply and 81'e connected to high bandwidth networks. This paper introduces Superstring, a peer to-peer service discovery protocol optimised fur use in the wide-area. Its goals are to minimise computation and memory overhead in the face of large numbers of resources. It achieves this memory and computation scalability by distributing the storage cost of service descriptions and the computation cost of queries over multiple resolvers.

Optimal design of a regenerative dynamic dynamometer using genetic algorithms

This paper presents an approach for optimal design of a fully regenerative dynamic dynamometer using genetic algorithms. The proposed dynamometer system includes an energy storage mechanism to adaptively absorb the energy variations following the dynamometer transients. This allows the minimum power electronics requirement at the mains power supply grid to compensate for the losses. The overall dynamometer system is a dynamic complex system and design of the system is a multi-objective problem, which requires advanced optimisation techniques such as genetic algorithms. The case study of designing and simulation of the dynamometer system indicates that the genetic algorithm based approach is able to locate a best available solution in view of system performance and computational costs.