CIRED is the Leading Forum where the Electricity Distribution Community meets. CIRED holds the major International Electricity Conference every two years as well as different workshops on specific themes. The CIRED Repository platform aims to compile the reports presented during these major events and to make them easily searchable, accessible and citable. Each report has a dedicated URL and is open-access.
ItemThe innovative role of local system operator as a facilitator of grid and community services in the local electricity market(AIM, 2018-06-07)Local electricity markets offer attractive solutions to long pending grid challenges associated with grid balancing, power quality and supply security, particularly with increased introduction of distributed renewable energy resources. This paper addresses questions regarding the roles, responsibilities and rights associated with local market participation, as well as issues that relate to the activities which can be carried out in the market. We describe the local system operator (LSO) as the most central role that is in charge of the operation of the local electricity market and we add to the state-of-the-art by paying particular attention to the possibilities that digitization offers within the local market context. More specifically, the capabilities of utilizing big data, machine learning and artificial intelligence to provide new or amplified business opportunities for the local market participants are central for the market design configuration that this paper focuses upon. Furthermore, we expect high stakeholder interest in the digitizationenabled innovative services around smart mobility and complementary offers of high diversity. ItemEvaluation of the impact of high presence of small DERs connected to the urban LV network(AIM, 2018-06-07)The subject addressed in this paper is the evaluation of the impact of small Distributed Energy Resources (DER) connected to the low voltage network in an urban area of the distribution network. The aim of this paper is to show the impact of the DERs by analysing key performance indices of the network, with and without DER connected, and by analysing different DER output. To address the problem, the authors have used advanced distribution management system (ADMS) and performed analysis in study mode on real network model. Results obtained by software simulations were verified with real measurements data from the field. ItemThe Role of Utilities in the Development of the Smart City(AIM, 2018-06-07)A smart city is ‘a place where traditional networks and services are made more efficient with the use of digital and telecommunication technologies, for the benefit of its inhabitants and businesses,’ according to the EU definition. In this context ‘networks’ consist of the many related infrastructures such as electricity, gas, heat, water, telecommunications and transportation/mobility; and ‘services’ are both commercial and public, including policing, waste, transport, commerce, housing and health, among others. Smart cities build on the concept of advanced energy communities (AECs) and integrate these holistically. These electrically contiguous areas will integrate multiple customer-owned distributed energy resources (DER) such as energy efficiency, demand response, customer storage, photovoltaic (PV) or other local generation, electrification, electric vehicles, combined heat and power (CHP), and district heating and cooling systems. Utility customers will look to these advanced technologies to provide benefits in comfort, convenience, and cost. Such communities also can achieve larger societal and utility goals such as decarbonisation, grid hardening, and grid support. An AEC can either be a new community development or involve reconstruction and retrofit of existing residential, commercial, or industrial communities. ItemLV network state estimation using decoupled load-flow algorithm(AIM, 2018-06-07)This paper presents a novel decoupled method for the power-flow expressions which are used as a part of the state-estimation algorithm at the low-voltage distribution level. The proposed simplifications are based on the particular characteristics of the low-voltage distribution network. The state-estimation results, obtained with the simplified method, are compared to the results of the state estimation with the classical power-flow equations.
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