TY - JOUR
T1 - Multi-objective short-term scheduling of a renewable-based microgrid in the presence of tidal resources and storage devices
AU - Javidsharifi, Mahshid
AU - Niknam, Taher
AU - Aghaei, Jamshid
AU - Mokryani, Geev
N1 - Funding Information:
Appreciation is offered to the Iran National Science Foundation for a grant to collect data for this research. The authors wish to thank the Iran National Science Foundation for supporting helps to do this research and providing this opportunity for the survey team. Also, this work was supported in part by Royal Academy of Engineering Distinguished Visiting Fellowship under Grant DVF1617\6\45 .
Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2018/4/15
Y1 - 2018/4/15
N2 - Daily increasing use of tidal power generation proves its outstanding features as a renewable source. Due to environmental concerns, tidal current energy which has no greenhouse emission attracted researchers’ attention in the last decade. Additionally, the significant potential of tidal technologies to economically benefit the utility in long-term periods is substantial. Tidal energy can be highly forecasted based on short-time given data and hence it will be a reliable renewable resource which can be fitted into power systems. In this paper, investigations of effects of a practical stream tidal turbine in Lake Saroma in the eastern area of Hokkaido, Japan, allocated in a real microgrid (MG), is considered in order to solve an environmental/economic bi-objective optimization problem. For this purpose, an intelligent evolutionary multi-objective modified bird mating optimizer (MMOBMO) algorithm is proposed. Additionally, a detailed economic model of storage devices is considered in the problem. Results show the efficiency of the suggested algorithm in satisfying economic/environmental objectives. The effectiveness of the proposed approach is validated by making comparison with original BMO and PSO on a practical MG.
AB - Daily increasing use of tidal power generation proves its outstanding features as a renewable source. Due to environmental concerns, tidal current energy which has no greenhouse emission attracted researchers’ attention in the last decade. Additionally, the significant potential of tidal technologies to economically benefit the utility in long-term periods is substantial. Tidal energy can be highly forecasted based on short-time given data and hence it will be a reliable renewable resource which can be fitted into power systems. In this paper, investigations of effects of a practical stream tidal turbine in Lake Saroma in the eastern area of Hokkaido, Japan, allocated in a real microgrid (MG), is considered in order to solve an environmental/economic bi-objective optimization problem. For this purpose, an intelligent evolutionary multi-objective modified bird mating optimizer (MMOBMO) algorithm is proposed. Additionally, a detailed economic model of storage devices is considered in the problem. Results show the efficiency of the suggested algorithm in satisfying economic/environmental objectives. The effectiveness of the proposed approach is validated by making comparison with original BMO and PSO on a practical MG.
KW - Environmental/economic optimization
KW - Microgrid
KW - Modified bird mating optimizer algorithm
KW - Renewable energy sources
KW - Storage devices
KW - Tidal energy
UR - http://www.scopus.com/inward/record.url?scp=85042321849&partnerID=8YFLogxK
U2 - 10.1016/j.apenergy.2017.12.119
DO - 10.1016/j.apenergy.2017.12.119
M3 - Journal article
AN - SCOPUS:85042321849
SN - 0306-2619
VL - 216
SP - 367
EP - 381
JO - Applied Energy
JF - Applied Energy
ER -