Browsing by Author "Nieto-Martin, Jesus"

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    Electric vehicles – effects on domestic low voltage networks
    (Institute of Electrical and Electronics Engineers, 2016-07-18) Zafred, Klemen; Nieto-Martin, Jesus; Butans, Eugene
    Electric Vehicles (EV) charging from a domestic power socket are becoming increasingly popular due to their economic and environmental benefits. The large number of such vehicles presents a significant additional load on existing low voltage (LV) power distribution networks (PDN). Evaluating this impact is essential for distribution network operators (DNO) to ensure normal functioning of the distribution grid. This research uses predictions of EV development and penetration levels to create a stochastic model of aggregate charging demand in a neighbourhood. Combined with historic distribution substations data from the Milton Keynes, UK total loads on the distribution transformers are projected. The results show significant overloading can occur with uncoordinated charging with just 25% of EVs on the road. The traditional way to solve this problem would be upgrading the transformer; however, that could be avoided by implementing coordinated charging to redistribute the load.
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    Scaling Milton Keynes power requirements for electrical transportation
    (Institute of Electrical and Electronics Engineers, 2016-07-18) Nieto-Martin, Jesus; Butans, Eugene; Correa-Castillo, Pablo; Fontaine, Jerome; Gonnelle, Alexis; Lahjibi, Mohamed; Vrancken, Carlos
    Milton Keynes is home to the UK’s first installation of a wirelessly charged passenger bus route. This Inductive Power Transfer (IPT) system enables a fleet of 8 electric buses to service a demanding 15-mile urban route. Opportunistic wireless charging of the batteries during the layover time at the routes allows reducing the size of the batteries, consequently improving cost and performance characteristics of the bus. This paper aims to analyze the effects of electric buses on the electricity distribution grid. In particular, the paper analyses scalability of the IPT solution to all urban routes in Milton Keynes and compares peak power requirements generated at different points in the network with typical industrial and commercial (I&C) loads.
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    Technoeconomic distribution network planning using smart grid techniques with evolutionary self-healing network states
    (Hindawi - Wiley, 2018-10-10) Nieto-Martin, Jesus; Kipouros, Timoleon; Savill, Mark; Woodruff, Jennifer; Butans, Jevgenijs
    The transition to a secure low-carbon system is raising a set of uncertainties when planning the path to a reliable decarbonised supply. The electricity sector is committing large investments in the transmission and distribution sector upon 2050 in order to ensure grid resilience. The cost and limited flexibility of traditional approaches to 11 kV network reinforcement threaten to constrain the uptake of low-carbon technologies. This paper investigates the suitability and cost-effectiveness of smart grid techniques along with traditional reinforcements for the 11 kV electricity distribution network, in order to analyse expected investments up to 2050 under different DECC demand scenarios. The evaluation of asset planning is based on an area of study in Milton Keynes (East Midlands, United Kingdom), being composed of six 11 kV primaries. To undertake this, the analysis used a revolutionary new model tool for electricity distribution network planning, called scenario investment model (SIM). Comprehensive comparisons of short- and long-term evolutionary investment planning strategies are presented. The work helps electricity network operators to visualise and design operational planning investments providing bottom-up decision support.