Modelling demand flexibility and energy storage to support increased penetration of renewable energy resources on Porto Santo. Issue 6 (4th June 2020)

• Record Type: Journal Article
• Authors: Torabi, Roham; Gomes, Alvaro; Lobo, Diogo; Morgado‐Dias, Fernando
• Is Part Of: Greenhouse gases. Volume 10:Issue 6(2020)
• Page Start: 1118
• Page End: 1132
• Publication Date: 2020-06-04
• Subjects: demand flexibility -- energy storage -- evolutionary algorithm -- renewable energy -- Reverse Osmosis desalination plant; Greenhouse gases -- Periodicals; Greenhouse gas mitigation -- Periodicals; 363.7387405
• DOI: 10.1002/ghg.2005
• Languages: English
• ISSNs: 2152-3878

Abstract

Abstract: This paper assesses the contribution of a controllable load (a reverse osmosis [RO] seawater desalination plant), together with an energy storage system in Porto Santo's small islanded electric power system. The controllable load and storage system are used to (i) smooth the net‐demand fluctuations and adapt it to the availability of renewable energy sources (RES), thus avoiding possible curtailments and contributing to a higher dissemination of RES, (ii) minimize the overall operational cost associated with the production of electricity and potable‐water, and (iii) reduce the environmental pollutants associated with the electric power systems on the island. The nonlinear nature of the problem makes it difficult to quickly obtain a robust solution through conventional mathematical tools. Therefore, an evolutionary algorithm is developed to find feasible solutions for dispatching the resources for a one‐week simulation period. The proposed algorithm determined the power output of the conventional thermal power plant, the RO desalination plant operating periods, and the storage charging and discharging periods and powers. In the proposed scenario, through a seven‐day simulation, 50% of the demand is supplied by renewable sources. The numerical results illustrate a reduction in the average total electricity‐peak demand of the island. The obtained diagrams are compared with the data gathered on Porto Santo's energy system. They display that the proposed solution is economically beneficial for the management of the electric power grid of the island of Porto Santo, while reducing the global warming potential (GWP) of the electric power system. Furthermore, it reveals that in a scenario with 50% penetration of renewable sources, through the proposed solution, a more efficient and predictable operation of the conventional electricity generators and the RO desalination plants can be achieved. © 2020 Society of Chemical Industry and John Wiley & Sons, Ltd.