2023
DOI: 10.1016/j.apenergy.2023.120906
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Optimizing planning and operation of renewable energy communities with genetic algorithms

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Cited by 39 publications
(11 citation statements)
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“…The energy share π‘†β„Žπ‘Žπ‘Ÿπ‘’ 𝑑,% β„Ž,𝑛 is equal to the ratio of each member's net demand 𝑁𝑒𝑑𝐷 β„Ž,𝑛 with respect to the demand of the EC 𝐷 𝑐 β„Ž in (20). This can then be multiplied by the EC production 𝑃 𝑐 to obtain π‘†β„Žπ‘Žπ‘Ÿπ‘’ π‘€π‘Š β„Ž,𝑛 in (21). The actual energy received by each participant is then the self-consumption 𝑆𝑐 β„Ž,𝑛 in (22), which is the share in percent π‘†β„Žπ‘Žπ‘Ÿπ‘’ 𝑑,% β„Ž,𝑛 multiplied by the distributed energy 𝑃 𝑑𝑖𝑠,𝑐 β„Ž .…”
Section: Dynamic Distributionmentioning
confidence: 99%
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“…The energy share π‘†β„Žπ‘Žπ‘Ÿπ‘’ 𝑑,% β„Ž,𝑛 is equal to the ratio of each member's net demand 𝑁𝑒𝑑𝐷 β„Ž,𝑛 with respect to the demand of the EC 𝐷 𝑐 β„Ž in (20). This can then be multiplied by the EC production 𝑃 𝑐 to obtain π‘†β„Žπ‘Žπ‘Ÿπ‘’ π‘€π‘Š β„Ž,𝑛 in (21). The actual energy received by each participant is then the self-consumption 𝑆𝑐 β„Ž,𝑛 in (22), which is the share in percent π‘†β„Žπ‘Žπ‘Ÿπ‘’ 𝑑,% β„Ž,𝑛 multiplied by the distributed energy 𝑃 𝑑𝑖𝑠,𝑐 β„Ž .…”
Section: Dynamic Distributionmentioning
confidence: 99%
“…( 23) can then be used to calculate each consumer's rest grid demand by rearranging (14). While π‘†β„Žπ‘Žπ‘Ÿπ‘’ π‘€π‘Š β„Ž,𝑛 and therefore (21) is not needed for the rest of the calculations, it is an interesting result when comparing it to the actual received self-consumption.…”
Section: Dynamic Distributionmentioning
confidence: 99%
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“…The financial objectives primarily revolve around minimizing costs related to DG construction, DG operation and maintenance cost, power supply cost, and other related expenses [ [22] , [23] , [24] , [25] , [26] , [27] , [28] ]. The researchers in Refs.…”
Section: Introductionmentioning
confidence: 99%
“…A further way to increase the benefits of a REC, especially in the set-up stage, is a targeted selection of its participants. For example, in the analysis performed by Lazzari et al, a subset of 7 users is selected from a set of 128 to create a community in the northern-east Spain that maximizes the self-consumption, minimizes the solar energy excess, and provides the lowest payback period [15].…”
Section: Introductionmentioning
confidence: 99%