TY - GEN
T1 - Time Series Production Simulation for Renewable Energy Consumption Considering Section Constraints
AU - Li, Ziyan
AU - Wang, Liang
AU - Tian, Ye
AU - Li, Liang
AU - Yu, Hongyuan
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - As high-quality clean energy, wind power and photovoltaic power can markedly diminish the expenditure of electricity generation. However, as ample wind power and photovoltaics has been connected to the grid, their uncertainty has brought momentous "wind abandonment"and "photovoltaic abandonment"phenomena to the power system. In this paper, the power characteristics of wind power, photovoltaic power, thermal power, hydroelectric power, pumped storage, and battery storage are fully considered to model the multi-energy power system. Considering the system section constraints, the time-series production simulation method is used to evaluate the renewable energy consumption capacity. And it studied the impact of renewable energy installed capacity, energy storage capacity, and the configuration of energy storage on the accommodation capacity.
AB - As high-quality clean energy, wind power and photovoltaic power can markedly diminish the expenditure of electricity generation. However, as ample wind power and photovoltaics has been connected to the grid, their uncertainty has brought momentous "wind abandonment"and "photovoltaic abandonment"phenomena to the power system. In this paper, the power characteristics of wind power, photovoltaic power, thermal power, hydroelectric power, pumped storage, and battery storage are fully considered to model the multi-energy power system. Considering the system section constraints, the time-series production simulation method is used to evaluate the renewable energy consumption capacity. And it studied the impact of renewable energy installed capacity, energy storage capacity, and the configuration of energy storage on the accommodation capacity.
KW - multi-energy power system
KW - renewable energy accommodation
KW - section constraint
KW - time series production simulation
UR - https://www.scopus.com/pages/publications/85151164631
U2 - 10.1109/CAC57257.2022.10054919
DO - 10.1109/CAC57257.2022.10054919
M3 - Conference contribution
AN - SCOPUS:85151164631
T3 - Proceedings - 2022 Chinese Automation Congress, CAC 2022
SP - 253
EP - 258
BT - Proceedings - 2022 Chinese Automation Congress, CAC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 Chinese Automation Congress, CAC 2022
Y2 - 25 November 2022 through 27 November 2022
ER -
