TY - GEN
T1 - Reliability Assessment of Wind, Solar and Hydropower Combined System
AU - Xie, Xiaojun
AU - Wu, Qiong
AU - Zhang, Ruigang
AU - Shao, Zhentong
AU - Zhai, Qiaozhu
N1 - Publisher Copyright:
© 2020 Technical Committee on Control Theory, Chinese Association of Automation.
PY - 2020/7
Y1 - 2020/7
N2 - The power industry located in southwestern China is constructing a wind, solar and hydropower combined system. To this end, reliability assessment on this practical power system is needed. Based on a unique algorithm for quickly solving the loss of the load probability (LOLP) curve, this paper considers timing correlation of different types of energy sources and develops a reliability analysis procedure for multi-energy combined systems. The results show that the reliability indices obtained by ignoring the timing correlation is higher than that considering the timing correlation, which means the reliability of the system will be overestimated, and this may lead to operational safety risks.
AB - The power industry located in southwestern China is constructing a wind, solar and hydropower combined system. To this end, reliability assessment on this practical power system is needed. Based on a unique algorithm for quickly solving the loss of the load probability (LOLP) curve, this paper considers timing correlation of different types of energy sources and develops a reliability analysis procedure for multi-energy combined systems. The results show that the reliability indices obtained by ignoring the timing correlation is higher than that considering the timing correlation, which means the reliability of the system will be overestimated, and this may lead to operational safety risks.
KW - Credibility capacity
KW - fast algorithm
KW - loss of load probability
KW - wind power
UR - http://www.scopus.com/inward/record.url?scp=85091397103&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85091397103&partnerID=8YFLogxK
U2 - 10.23919/CCC50068.2020.9189189
DO - 10.23919/CCC50068.2020.9189189
M3 - Conference contribution
AN - SCOPUS:85091397103
T3 - Chinese Control Conference, CCC
SP - 5349
EP - 5354
BT - Proceedings of the 39th Chinese Control Conference, CCC 2020
A2 - Fu, Jun
A2 - Sun, Jian
T2 - 39th Chinese Control Conference, CCC 2020
Y2 - 27 July 2020 through 29 July 2020
ER -