2015
DOI: 10.1016/j.apenergy.2014.09.027
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Design and analysis of electrical energy storage demonstration projects on UK distribution networks

Abstract: h i g h l i g h t sResults of an EES system demonstration project carried out in the UK. Approaches to the design of trials for EES and observation on their application. A formalised methodology for analysis of smart grids trials. Validated models of energy storage. Capability of EES to connect larger quantities of heat pumps and PV is evaluated. a b s t r a c tThe UK government's CO 2 emissions targets will require electrification of much of the country's infrastructure with low carbon technologies such as ph… Show more

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Cited by 48 publications
(17 citation statements)
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“…Our dataset consists of half hourly energy data from 46 LV substations (in Bracknell, UK), collected as part of the Thames Valley Vision project. 2 In total, this is 122 feeders and 366 phases. The whole trial period we consider is from 20th March 2014 to 22nd September 2015 inclusive (d = 551 days).…”
Section: Data Calibration and Validation Periodsmentioning
confidence: 99%
“…Our dataset consists of half hourly energy data from 46 LV substations (in Bracknell, UK), collected as part of the Thames Valley Vision project. 2 In total, this is 122 feeders and 366 phases. The whole trial period we consider is from 20th March 2014 to 22nd September 2015 inclusive (d = 551 days).…”
Section: Data Calibration and Validation Periodsmentioning
confidence: 99%
“…Ultra capacitors are also investigated for frequency control in stand-alone power systems [20]. Demonstration results are also included from two grid scale electrochemical energy storage trials in the UK [21] and a high temperature superconducting magnetic energy storage system in China [22].…”
Section: Electrical Energy Storage and Gridsmentioning
confidence: 99%
“…The QFD decision problem in this paper is reformulated as a MINLP model aiming to maximize overall customer satisfaction with the consideration of the enterprises' capability, cost, and resource constraints. Actually, many decision problems in various application fields, such as chemical engineering [14,15], gas/water distribution networks optimal design [16,17], and engineering design [18], can be formulated as MINLP models. MINLP is a NP-hard problem and the calculating algorithms to MINLPs have been developed since 1980s, which can be broadly divided into two main classes: deterministic algorithms and stochastic algorithms.…”
Section: Introductionmentioning
confidence: 99%