期刊论文

Xu, Yan

英文

International Journal of Electrical Power & Energy Systems

0142-0615

2019

105

79-88

10.1016/j.ijepes.2018.07.036

Yongxi Zhang’s work is supported by the Natural Science Foundation of China ( 51807011 , 51807013 ) and Natural Science Foundation of Hunan Province ( 2018JJ3536 ). This work is also supported in part by the Australian Research Council (ARC) Discovery Grant ( DP170103427 ); in part by the National Natural Science Foundation of China (Key Program 71331001 , 71420107027 , 91547113 ), the Science and Technology Projects of Hunan Province ( 2016WK2015 , 2016GK2109 , 2017WK2053 ). Yongxi Zhang's work is supported by the Natural Science Foundation of China (51807011, 51807013) and Natural Science Foundation of Hunan Province (2018JJ3536). This work is also supported in part by the Australian Research Council (ARC) Discovery Grant (DP170103427); in part by the National Natural Science Foundation of China (Key Program 71331001, 71420107027, 91547113), the Science and Technology Projects of Hunan Province (2016WK2015, 2016GK2109, 2017WK2053).

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Active Distribution Networks (ADNs) are featured by large-scale integration of distributed generation (DG) and energy storage. This paper proposes a novel two-layer co-planning method for optimal placement of inverter-interfaced DG and battery energy storage (BES) units towards enhanced voltage regulation functions in an ADN. The outer-later model determines the planning decision of DG units and the inverter sizing, location, and capacities of BES units, respectively; the inner-layer model corresponds to the operation decision which aims to opt...