Multi-objective Optimization Scheduling Method for Islanded Micro-grid with PV, Wind Turbine, Diesel Generation and energy storage system
- DOI
- 10.2991/icmmita-16.2016.85How to use a DOI?
- Keywords
- islanded micro-grid; optimal scheduling; energy circulation of storage batteries; power balance
- Abstract
The optimization scheduling method for islanded micro-grid operation is studied in this paper. The typical structure of islanded micro-gird and function of each component are introduced. Based on the analysis of operational characteristics of PV, wind turbine generation and energy storage system, the mathematical model of the multi-objective optimization scheduling is proposed by considering diesel generation and energy circulation of energy storage system. Such constraints as the range of the charging/discharging power, SOC (state of charge) of the energy storage system, the value scale of power generated by diesel and the balance of system power are built. Then the multi-objective optimization model is solved by NSGA-II algorithm. For a test case under the situation of different solar radiations and wind levels, several Pareto solution sets are obtained, from which typical dispatching schemes are selected to verify the model's rationality by analyzing power flow of each component.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yangqi Huang AU - Junjie Xiong AU - Xinglong Cai AU - Wei He AU - Hao He PY - 2017/01 DA - 2017/01 TI - Multi-objective Optimization Scheduling Method for Islanded Micro-grid with PV, Wind Turbine, Diesel Generation and energy storage system BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications PB - Atlantis Press SP - 461 EP - 464 SN - 2352-538X UR - https://doi.org/10.2991/icmmita-16.2016.85 DO - 10.2991/icmmita-16.2016.85 ID - Huang2017/01 ER -