TY - GEN
T1 - A Multi-time Scale Coordinated Real Time Dispatch Model of CCHP-based Microgrid
AU - Kang, Kai
AU - Deng, Shaoping
AU - Wu, Sha
AU - Zhong, Taijun
AU - Wu, Xiong
AU - Wang, Zhao
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Conventional real time dispatch models are usually based on the day ahead scheduling. If the day ahead prediction is far from accuracy, the real time dispatch may fail. To improve it, this paper proposes a multi-time scale coordinated real time dispatch model of CCHP-based microgrids. The proposed model is conducted based on the boundary information offered by a rolling schedule with a larger time resolution. To mitigate the influence of the cumulative prediction error, a feedback model is also integrated into the model. The main advantage of this model is that the state of charge (SOC) of the energy storage systems (ESSs) can be tightly controlled while the total cost can also be reduced. The real time dispatch model is converted into a mixed integer second order core programming (MISOCP) problem, which could be solved by mature algorithm. The methodology is tested on a modified IEEE 33-bus distribution system. Simulation results indicate that the proposed models are capable to mitigate the influence of prediction error. In addition, the SOC of ESS is controlled as expected, which is useful especially for energy reserve for the next scheduling period.
AB - Conventional real time dispatch models are usually based on the day ahead scheduling. If the day ahead prediction is far from accuracy, the real time dispatch may fail. To improve it, this paper proposes a multi-time scale coordinated real time dispatch model of CCHP-based microgrids. The proposed model is conducted based on the boundary information offered by a rolling schedule with a larger time resolution. To mitigate the influence of the cumulative prediction error, a feedback model is also integrated into the model. The main advantage of this model is that the state of charge (SOC) of the energy storage systems (ESSs) can be tightly controlled while the total cost can also be reduced. The real time dispatch model is converted into a mixed integer second order core programming (MISOCP) problem, which could be solved by mature algorithm. The methodology is tested on a modified IEEE 33-bus distribution system. Simulation results indicate that the proposed models are capable to mitigate the influence of prediction error. In addition, the SOC of ESS is controlled as expected, which is useful especially for energy reserve for the next scheduling period.
KW - CCHP microgrids
KW - feedback
KW - multi-time scale
KW - real time dispatch
UR - http://www.scopus.com/inward/record.url?scp=85061717679&partnerID=8YFLogxK
U2 - 10.1109/POWERCON.2018.8601696
DO - 10.1109/POWERCON.2018.8601696
M3 - Conference Proceeding
AN - SCOPUS:85061717679
T3 - 2018 International Conference on Power System Technology, POWERCON 2018 - Proceedings
SP - 1613
EP - 1621
BT - 2018 International Conference on Power System Technology, POWERCON 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 International Conference on Power System Technology, POWERCON 2018
Y2 - 6 November 2018 through 9 November 2018
ER -