Abstract
A multiple time-scale optimization scheduling including day ahead and short time for an islanded microgrid is presented. In this paper, the microgrid under study includes photovoltaics (PV), wind turbine (WT), diesel generator (DG), batteries, and shiftable loads. The study considers the maximum efficiency operation area for the diesel engine and the cost of the battery charge/discharge cycle losses. The day-ahead generation scheduling takes into account the minimum operational cost and the maximum load satisfaction as the objective function. Short-term optimal dispatch is based on minimizing the adjustment of the day-ahead scheduling and giving priority to the use of renewable energy. According to the forecast of the critical and noncritical load, the wind speed, and the solar irradiation, mixed integer linear programming (MILP) optimization method is used to solve the multi-objective optimization functions. Simulation results shown that the proposed multiple time-scale optimization scheduling approach minimizes the battery usage and maximize the use of renewable energies.
Originalsprog | Engelsk |
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Titel | Proceedings of 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 |
Antal sider | 6 |
Forlag | IEEE Press |
Publikationsdato | okt. 2017 |
Sider | 2594-2599 |
ISBN (Elektronisk) | 978-1-386-1127-2 |
DOI | |
Status | Udgivet - okt. 2017 |
Begivenhed | 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 - Beijing, Kina Varighed: 29 okt. 2017 → 1 nov. 2017 |
Konference
Konference | 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 |
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Land/Område | Kina |
By | Beijing |
Periode | 29/10/2017 → 01/11/2017 |
Sponsor | Chinese Association of Automation (CAA), Chinese Power Supply Society, et al., IEEE Industrial Electronics Society (IES), Systems Engineering Society of China, The Institute of Electrical and Electronics Engineers (IEEE) |