Multi-objective Hierarchical Economic Dispatch for Microgrid Considering Charging and Discharging of Electric Vehicles

被引：0
|
作者：
Hou H. [1 ]
Xue M. [1 ]
Chen G. [2 ]
Tang J. [1 ]
Xu T. [1 ]
Liu P. [1 ]
机构：
[1] School of Automation, Wuhan University of Technology, Wuhan
[2] Guangzhou Power Supply Co., Ltd., Guangzhou
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2019年 / 43卷 / 17期
基金：
中国国家自然科学基金;
关键词：
Economic dispatch strategy; Electric vehicle; Hierarchical; Microgrid;
D O I：
10.7500/AEPS20180930001
中图分类号：
学科分类号：
摘要：
According to the operation characteristics of each dispatch unit, a multi-objective hierarchical economic dispatch strategy for microgrid (MG) with load level, source-load level and source-grid-load level is proposed. Firstly, considering the driving habits of the electric vehicle (EV) users, the energy storage characteristics of EVs is used at the load level to adjust the original load fluctuation of the MG. Then the wind and solar power is preferentially used at the source-load level to support the load consumption of MG. Meanwhile, multi-objective particle swarm optimization (MPSO) algorithm is adopted to maximize the absorption of renewable energy and minimize the integrated operation cost of the source-load level by using energy storage unit and fully controllable EVs. Finally, the net load from the source-load level is absorbed at the source-grid-load level by the diesel engines and connection lines of the main grid, while the surplus wind and solar power is sold to the main grid to gain benefits, which has achieved the unification of the economy, efficiency and security benefits of the MG system and the main grid. A specific example is given to simulate and analyze the proposed strategy, and compared with random charging operation and non-hierarchical dispatching operation of EVs, which verifies the scientificity and effectiveness of the proposed strategy. © 2019 Automation of Electric Power Systems Press.
引用
收藏
页码：55 / 62
页数：7
相关论文
共 28 条
  • [1] Papadimitriou C.N., Kleftakis V.A., Hatziargyriou N.D., Control strategy for seamless transition from islanded to interconnected operation mode of microgrids, Journal of Modern Power Systems and Clean Energy, 5, 2, pp. 169-176, (2017)
  • [2] Chen G., Yang Y., Yang X., Et al., Distributed optimization scheduling method for microgrid cluster based on distributed Newton method, Automation of Electric Power Systems, 41, 21, pp. 156-162, (2017)
  • [3] Wang L., Xu H., Wang G., Economic dispatch model for microgrid considering power characteristics of distributed generators, Automation of Electric Power Systems, 40, 11, pp. 31-38, (2016)
  • [4] Du Y., Pei W., Chen N., Et al., Real-time microgrid economic dispatch based on model predictive control strategy, Journal of Modern Power Systems and Clean Energy, 5, 5, pp. 787-796, (2017)
  • [5] Dou X., Xiao Y., Yuan X., Et al., Energy management strategy based on improved model predictive control for microgrid, Automation of Electric Power Systems, 41, 22, pp. 56-65, (2017)
  • [6] Wu X., Wang X., Wang J., Et al., Economic generation scheduling of a microgrid using mixed integer programming, Proceedings of the CSEE, 33, 28, pp. 1-9, (2013)
  • [7] Wang X., Qian W., A new scheduling method of microgrid based on improved PSO algorithm, Power System and Clean Energy, 33, 7, pp. 53-57, (2017)
  • [8] Wang Y., Song Y., Wu H., Et al., Security and economic dispatch of source/load for micro-grid based on Tabu search algorithm, Power System Protection and Control, 45, 20, pp. 21-27, (2017)
  • [9] Chen J., Yang X., Zhu L., Et al., Microgrid multi-objective economic dispatch optimization, Proceedings of the CSEE, 33, 19, pp. 57-66, (2013)
  • [10] Mao M., Ji M., Dong W., Et al., Multi-objective economic dispatch model for a microgrid considering reliability, IEEE International Symposium on Power Electronics for Distributed Generation Systems, pp. 993-998, (2010)
123