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Abstract-This paper investigates the fault behaviour of inverter-interfaced distributed generators in stand-alone networks. It is shown that the rapid transient response of the inverter control system allows its fault behaviour to be characterised by quasi steady-state equivalent fault models. The choice of inverter control strategy, control reference frame and the method of active current limiting dominate the fault response, especially in case of unbalanced faults. The proposed fault models can be directly incorporated in conventional fault analysis methods of which an example is given for a faulty islanded microgrid. Model validation is carried out by comparing experimental measurements with results of analytical fault analysis using the developed fault models and PSCAD time domain simulations.

Residential electricity demand is expected to rise in the next few decades due to the electrification of heating and transport. Both European and UK national policies suggest that efforts should be made to reduce carbon emissions and increase the share of renewable energy, an important element of which is encouraging generation, typically PV, in partnership with energy storage systems in the residential sector. The scale of the energy storage system is important, i.e. in individual properties or as a community resource. Many advantages of community energy storage (CES) over household energy storage (HES) have been identified, but the design and operation of CES has received significantly less attention. Most existing research has analysed CES at community level only, but the performance and impact on individual households has yet to be fully explored. In this study an agent-based model is proposed to investigate and analyse CES based on a range of criteria. Results indicate that both HES and CES can significantly reduce the grid peak power import and export, improve the community self-consumption rate (SCR) and self-sufficiency rate (SSR), and contribute to much higher energy saving. Furthermore, optimising the CES capacity leads to more effective use of PV power and better demand localisation during high PV-generation periods. It is found that an important challenge for CES systems is to realise the value of the shared electricity equitably amongst the participants and potentially to seek other revenue streams.

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Rooftop photovoltaics (PV) have become widely adopted by domestic customers in tandem with energy storage systems to generate clean energy and limit import from the grid, however most applications struggle to achieve profitability. The level at which energy storage is deployed, be it household energy storage (HES), or as a community energy storage (CES) system, can potentially increase the economic feasibility. Furthermore, the introduction of a Time-of-Use (TOU) tariff enables households to further reduce their energy costs through demand side management (DSM). Here we investigate and compare the performance of HES and CES with DSM. The results suggest that TOU tariffs can effectively shave peak demand by up to 30% and lower energy bills by at least 20%, but do not improve self-consumption or selfsufficiency rate. This study indicates that all cases considered are environmentally friendly and can pay back the total CO2 emissions associated with the manufacturing within 8 years. However, the levelised cost of storage (LCOS) is still beyond a household's affordability, ranging from £0.4 to £2.03 kWh -1 , though CES is proven more effective at improving self-consumption for consumers and shaving peak demand for network operators. The feasibility can be improved by 1) combining different services and tariffs to obtain more revenues for households; 2) more legislative and financial support to reduce system costs; and 3) more innovative business models and policies to optimise revenues with existing resource

Decision tree aided planning and energy balancing of planned community microgrids Article (Accepted Version) http://sro.sussex.ac.uk Moutis, Panayiotis, Skarvelis-Kazakos, Spyros and Brucoli, Maria (2016) Decision tree aided planning and energy balancing of planned community microgrids. Applied Energy, 161. pp. 197-205. ISSN 0306-2619 This version is available from Sussex Research Online: http://sro.sussex.ac.uk/57429/ This document is made available in accordance with publisher policies and may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the URL above for details on accessing the published version. Copyright and reuse:Sussex Research Online is a digital repository of the research output of the University.Copyright and all moral rights to the version of the paper presented here belong to the individual author(s) and/or other copyright owners. To the extent reasonable and practicable, the material made available in SRO has been checked for eligibility before being made available.Copies of full text items generally can be reproduced, displayed or performed and given to third parties in any format or medium for personal research or study, educational, or not-for-profit purposes without prior permission or charge, provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way.

The microgrid (MG), as an operational paradigm for the exploitation of distributed energy resources (DER), has been thoroughly studied the past few years. However, applications are largely limited to test sites and demo installations, lacking the business argument in favor of the wider deployment of the MG concept. Planned communities (PC), a residential development concept aiming to channel the population growth away from the overcrowded and polluted city centers, can serve as a business model for the application of the MG control architectures and philosophies. This paper intends to link the core characteristics of the PC to existing MG sites and installations, providing evidence of their suitability for MG development.