Optimal allocation of BESS and MT in a microgrid

被引:49
作者
Qiu, Jing [1 ]
Zhao, Junhua [2 ]
Zheng, Yu [3 ]
Dong, Zhaohui [1 ]
Dong, Zhao Yang [4 ]
机构
[1] Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, Australia
[2] Chinese Univ Hong Kong Shenzhen, Sch Sci & Engn, Longgang 518100, Peoples R China
[3] China Southern Power Grid, Elect Power Res Inst, Guangzhou 510080, Guangdong, Peoples R China
[4] Univ New South Wales, Sch Elect Engn & Telecommun, Sydney, NSW 2052, Australia
基金
中国国家自然科学基金;
关键词
distributed power generation; turbines; energy storage; power distribution planning; optimisation; sensitivity analysis; BESS; MT; microgrid; two-stage planning framework; grid-connected microgrids; islanded microgrids; modified IEEE 33-bus radial system; computational efficiency; backward scenario reduction method; formulated optimisation problem; smoothing renewable energy; mathematical models; interruptible load; hot water system; fuel cells; main grid; controllable loads; optimal operation strategies; operational uncertainties; optimal allocation decisions; micro-turbine; battery energy storage system; ENERGY-STORAGE SYSTEM; VIRTUAL POWER-PLANT; DISTRIBUTED GENERATION; DISTRIBUTION NETWORKS; WIND; UNCERTAINTIES; RESOURCES; LOAD;
D O I
10.1049/iet-gtd.2017.0717
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This study presents a two-stage planning framework of the battery energy storage system (BESS) and micro-turbine (MT) in a microgrid. In the first stage, the optimal allocation decisions are made before the actual realisation of the operational uncertainties. In the second stage, the optimal operation strategies are made for the microgrid by minimising the costs paid to the main grid, fuel cells, MTs, BESSs and controllable loads (CLs). The hot water system and interruptible load are considered as CLs. Their mathematical models are built to investigate their roles in smoothing renewable energy. In addition, efforts are made to keep the linearity of the formulated optimisation problem, and the backward scenario reduction method is adopted to further enhance the computational efficiency. The modified IEEE 33-bus radial system is used as a microgrid to verify the effectiveness of the proposed approach for both islanded and grid-connected microgrids. Sensitivity analysis has been conducted to compare the economics and robustness of the identified solutions.
引用
收藏
页码:1988 / 1997
页数:10
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