Proceedings of Abstracts Engineering and Computer Science Research Conference 2019

© 2019 The Author(s). This is an open-access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. For further details please see https://creativecommons.org/licenses/by/4.0/. Note: Keynote: Fluorescence visualisation to evaluate effectiveness of personal protective equipment for infection control is © 2019 Crown copyright and so is licensed under the Open Government Licence v3.0. Under this licence users are permitted to copy, publish, distribute and transmit the Information; adapt the Information; exploit the Information commercially and non-commercially for example, by combining it with other Information, or by including it in your own product or application. Where you do any of the above you must acknowledge the source of the Information in your product or application by including or linking to any attribution statement specified by the Information Provider(s) and, where possible, provide a link to this licence: http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/This book is the record of abstracts submitted and accepted for presentation at the Inaugural Engineering and Computer Science Research Conference held 17th April 2019 at the University of Hertfordshire, Hatfield, UK. This conference is a local event aiming at bringing together the research students, staff and eminent external guests to celebrate Engineering and Computer Science Research at the University of Hertfordshire. The ECS Research Conference aims to showcase the broad landscape of research taking place in the School of Engineering and Computer Science. The 2019 conference was articulated around three topical cross-disciplinary themes: Make and Preserve the Future; Connect the People and Cities; and Protect and Care

Energy Storage Optimisation in an Electric Power Grid

Energy storage is an essential part of energy supply to consumer demand from the grid. It plays a strategic role in the future development of flexible and reliable electricity systems. Energy storage systems allow excess of generation from the grid to be stored for later usage therefore ensuring an efficient network, particularly as back-up power support following an outage in the distribution network. The variability of renewable energy resources are difficult to predict consequently causing several negative impacts on the electric grid. Inconsistency of renewable energy is presently dealt with by ramping conventional reserves up and down based on consumer demand but predominantly by weather forecasts. However, as the penetration level of renewable energy increases, conventional reserve compensation will no longer be appropriate without energy storage units capable of rapidly responding to the power fluctuations within the network to maintain system stability. This research project demonstrates the potential benefits of optimised positioning of energy storage systems in order to manage the growing deployment of intermittent generation by solving these issues in providing electricity where and when required. A simulation study is presented using OpenDSS interfaced with MATLAB software. The distribution model used in the co-simulation is the ‘13Bus’ circuit from the ‘IEEETestCases’ examples. This circuit model was used to demonstrate how singular and multiple batteries based on determined geographical locations can reduce the instability of a PV generator, peak-shave during high-demand hours and smooth the power flow within the network. The results demonstrate the effectiveness of the proposed energy storage positioning strategy in enhancing the stability and reliability of the grid.Peer reviewe