Title Optimal midterm peak shaving cost in an electricity management system using behind customers\' smart meter configuration
Authors SÁNCHEZ DE LA NIETA LÓPEZ, AGUSTÍN ALEANDRO, Ilieva, Iliana , Gibescu, Madeleine , Bremdal, Bernt , Simonsen, Stig , Gramme, Eivind
External publication Si
Means Appl. Energy
Scope Article
Nature Científica
JCR Quartile 1
SJR Quartile 1
JCR Impact 11.44600
SJR Impact 3.06200
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097383673&doi=10.1016%2fj.apenergy.2020.116282&partnerID=40&md5=9ee23ad727c6ae44165f4de8d0228e18
Publication date 01/02/2021
ISI 000613289000002
Scopus Id 2-s2.0-85097383673
DOI 10.1016/j.apenergy.2020.116282
Abstract This paper analyses a local electricity system (LES) comprising photovoltaic production (PV), a connection to the distribution network, local loads and an energy storage system (ESS). Given the flexibility of the ESS, the LES can provide a peak shaving service (PSS) to the grid operator based on the actual monthly power tariff. This paper proposes a stochastic mixed-integer linear programming problem that maximises the expected operating profit of the LES midterm. Assuming a behind customers\' smart meter configuration, income is derived from selling the energy of prosumers to other external electrical areas. If the costs are higher than the income, the net profit will be negative, i.e. a net loss. The cost component of the objective function can be reduced through the management of local resources and by providing PSS to the distribution network operator to minimise the power cost of the monthly power tariff. The model is tested for 720 h (considering a month of 30 days) in three cases: (i) without PV and ESS; (ii) with PV and ESS, where losses are 0%; (iii) with PV and ESS, where losses are 18%. Due to the monthly power tariff, the net loss of the LES is reduced through the optimal management of local resources when the ESS losses are lower than 18%. To assess seasonal implications about the LES, the 12 months of the year are also tested. The month of October indicated the highest peak shaving, while the lowest peak shaving depended on the ESS losses.
Keywords Electricity management system; Energy storage system; Local load; Decentralised PV production; Peak shaving service; Prosumer; Stochastic mixed-integer linear problem
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