Marzband, Mousa, Yousefnejad, Ebrahim, Sumper, Andreas and Domínguez-García, José Luis (2016) Real time experimental implementation of optimum energy management system in standalone Microgrid by using multi-layer ant colony optimization. International Journal of Electrical Power & Energy Systems, 75. pp. 265-274. ISSN 0142-0615
Full text not available from this repository. (Request a copy)Abstract
In this paper, an algorithm for energy management system (EMS) based on multi-layer ant colony optimization (EMS-MACO) is presented to find energy scheduling in Microgrid (MG). The aim of study is to figure out the optimum operation of micro-sources for decreasing the electricity production cost by hourly day-ahead and real time scheduling. The proposed algorithm is based on ant colony optimization (ACO) method and is able to analyze the technical and economic time dependent constraints. This algorithm attempts to meet the required load demand with minimum energy cost in a local energy market (LEM) structure. Performance of MACO is compared with modified conventional EMS (MCEMS) and particle swarm optimization (PSO) based EMS. Analysis of obtained results demonstrates that the system performance is improved also the energy cost is reduced about 20% and 5% by applying MACO in comparison with MCEMS and PSO, respectively. Furthermore, the plug and play capability in real time applications is investigated by using different scenarios and the system adequate performance is validated experimentally too.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Real time EMS, Short term scheduling, Very short term scheduling, Microgrid, Ant colony optimization, Optimal operation |
| Subjects: | H600 Electronic and Electrical Engineering |
| Department: | Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering |
| Depositing User: | Becky Skoyles |
| Date Deposited: | 01 Mar 2018 10:56 |
| Last Modified: | 11 Oct 2019 21:47 |
| URI: | http://nrl.northumbria.ac.uk/id/eprint/33529 |
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