Browsing by Author "Jenkins, Nick"
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Item Coordination of the charging of electric vehicles using a multi-agent system(2013-12) Papadopoulos, Panagiotis; Jenkins, Nick; Cipcigan, Liana M.; Grau, Inaki; Zabala, Eduardo; Tecnalia Research & InnovationAn agent-based control system that coordinates the battery charging of electric vehicles in distribution networks is presented. The objective of the control system is to charge the electric vehicles at times of low electricity prices within distribution network technical constraints. Search techniques and neural networks are used for the decision making of the agents. The ability of the control system to work successfully when the distribution network is operated within its loading limits and when the loading limits are violated is demonstrated through experimental validation.Item Management of electric vehicle battery charging in distribution networks with multi-agent systems(2014-05) Grau Unda, Iñaki; Papadopoulos, Panagiotis; Skarvelis-Kazakos, Spyros; Cipcigan, Liana M.; Jenkins, Nick; Zabala, Eduardo; Tecnalia Research & InnovationAn agent-based control system that manages the battery charging of electric vehicles in power distribution networks is presented. The electric vehicle battery charging schedules are calculated according to electricity prices and distribution network technical constraints. The design of the multi-agent system is described. The real-time operation of the multi-agent system was demonstrated in a test-bed of a laboratory micro-grid.Item State estimation of networks with distributed generation(2007-01) Cobelo, Iñigo; Shafiu, Ahmed; Jenkins, Nick; Strbac, Goran; Tecnalia Research & InnovationThe nature and control of existing distribution networks limits the amount of distributed generation that can be connected. To increase the penetration of distributed generation a distribution management system controller (DMSC) can be used. The use of a DMSC requires a state estimator algorithm that provides an estimate of the network state in real time. In this paper, a state estimation algorithm based on the methods used on transmission networks is presented. The application of these methods into distribution networks requires existing measuring systems to be supplemented with the addition of new real-time measurements, and the use of load estimates.