TY - GEN
T1 - Reliability assessment of distribution power systems considering the TOU pricing
AU - Xie, Haipeng
AU - Bie, Zhaohong
AU - Hua, Bowen
AU - Li, Gengfeng
PY - 2013
Y1 - 2013
N2 - This paper proposes a time of use (TOU) pricing model and an improved sequential Monte Carlo simulation (SMCS) method to evaluate the distribution system reliability considering the TOU pricing. The proposed TOU pricing model presents the constraint conditions and objective function to obtain optimal TOU pricing tarrif. The model provides different objective functions to describe various specific demands. The proposed SMCS method can assess the reliability of distribution systems considering the TOU pricing and distribution generation (DG) by modifying the TOU pricing affected loads and by introducing islanding operation respectively. In the algorithm, real-time load is used to accurately evaluate the load loss. The validity of above model and the method are studied through numerical tests on modified RBTS test system. In the case study, the TOU pricing, together with DG, will improve or worsen the reliability depending on concrete combination.
AB - This paper proposes a time of use (TOU) pricing model and an improved sequential Monte Carlo simulation (SMCS) method to evaluate the distribution system reliability considering the TOU pricing. The proposed TOU pricing model presents the constraint conditions and objective function to obtain optimal TOU pricing tarrif. The model provides different objective functions to describe various specific demands. The proposed SMCS method can assess the reliability of distribution systems considering the TOU pricing and distribution generation (DG) by modifying the TOU pricing affected loads and by introducing islanding operation respectively. In the algorithm, real-time load is used to accurately evaluate the load loss. The validity of above model and the method are studied through numerical tests on modified RBTS test system. In the case study, the TOU pricing, together with DG, will improve or worsen the reliability depending on concrete combination.
KW - distribution generation
KW - reliability assessment
KW - sequential Monte Carlo simulation
KW - time of use
UR - https://www.scopus.com/pages/publications/84894359827
U2 - 10.1109/TENCON.2013.6719049
DO - 10.1109/TENCON.2013.6719049
M3 - 会议稿件
AN - SCOPUS:84894359827
SN - 9781479928262
T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON
BT - 2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013 - Conference Proceedings
T2 - 2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013
Y2 - 22 October 2013 through 25 October 2013
ER -