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Frequency control of future power systems: reviewing and evaluating challenges and new control methods

Journal of modern Power Systems and Clean Energy 2019年第1期7卷 9-25页

作者： Zeyad Assi OBAID liana m.cipcigan Lahieb ABRAHIm mazin T.mUHSSIN College of Engineering University of Diyala Institute of Energy School of Engineering Cardiff University School of Engineering South Wales University College of Engineering Mustansiriyah University

Integration of more renewable energy resources introduces a challenge in frequency control of future power *** paper reviews and evaluates the possible challenges and the new control methods of frequency in future power *** types of loads and distributed energy resources(DERs) are reviewed.A model representation of a population of the water heater devices for the demand side frequency response is considered.A model representation of a population of battery energy storage system(BESS)-based DERs such as smart electric vehicles(EVs) charging, large-scale BESSs, and residential and non-residential BESSs, are *** simplified Great Britain power system and the 14-machine South-East Australian power system were used to demonstrate the effectiveness of the new methods in controlling power system frequency following a *** new methods are effective in recovering the fallen frequency response and present a great potential in controlling the frequency in future power systems.

关键词： Battery energy storage system(BESS) Distributed energy resource(DER) Electric vehicle Home-based BESS Large-scale BESS aggregation Demand side response Frequency control markov chain

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management of Charging Load of Electric Vehicles for Optimal Capacity Utilisation of Distribution Transformers

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Journal of Power and Energy Engineering 2021年第11期9卷 60-79页

作者： Rilwan Olaolu Oliyide liana m. cipcigan Department of Electrical/Electronic Engineering Moshood Abiola Polytechnic Abeokuta Nigeria Institute of Energy School of Engineering Cardiff University Cardiff UK

A de-centralised load management technique exploiting the flexibility in the charging of Electric Vehicles (EVs) is presented. Two charging regimes are assumed. The Controlled Charging Regime (CCR) between 16:30 hours and 06:00 hours of the next day and the Uncontrolled Charging Regime (UCR) between 06:00 hours and 16:30 hours of the same day. During the CCR, the charging of EVs is coordinated and controlled by means of a wireless two-way communication link between EV Smart Charge Controllers (EVSCCs) at EV owners’ premises and the EV Load Controller (EVLC) at the local LV distribution substation. The EVLC sorts the EVs batteries in ascending order of their states of charge (SoC) and sends command signals for charging to as many EVs as the transformer could allow at that interval based on the condition of the transformer as analysed by the Distribution Transformer monitor (DTm). A real and typical urban LV area distribution network in Great Britain (GB) is used as the case study. The technique is applied on the LV area when its transformer is carrying the future load demand of the area on a typical winter weekday in the year 2050. To achieve the load management, load demand of the LV area network is decomposed into Non-EV load and EV load. The load on the transformer is managed by varying the EV load in an optimisation objective function which maximises the capacity utilisation of the transformer subject to operational constraints and non-disruption of daily trips of EV owners. Results show that with the proposed load management technique, LV distribution networks could accommodate high uptake of EVs without compromising the useful normal life expectancy of distribution transformers before the need for capacity reinforcement.

关键词： Electric Vehicles Load management EV Charge Controller EV Load Controller Distribution Transformer monitor

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