TY - JOUR
T1 - Multi-objective unit commitment of jointly concentrating solar power plant and wind farm for providing peak-shaving considering operational risk
AU - Fang, Yuchen
AU - Zhao, Shuqiang
AU - Chen, Zhe
N1 - Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2022/5
Y1 - 2022/5
N2 - The large-scale integration of intermittent and uncertain renewable energy poses challenges for power system scheduling, especially for peak-shaving. In this paper, a multi-objective unit commitment model of jointly concentrating solar power plant and wind farm for providing peak-shaving considering operational risk (RMUC) is proposed. A concentrating solar power (CSP) plant is employed to improve renewable energy consumption and compensate wind power fluctuations. Firstly, an operational risk model under renewable energy integration with intermittency is constructed to quantify risks of wind curtailment and load shedding. Then, a novel RMUC model is established by incorporating operational risk into the unit commitment (UC) model, which can optimally allocate operational flexibility of power systems over spatial and temporal domains to reduce operational risk. The proposed model can co-optimize the uncertainty level and the peak-shaving operation, which is able to obtain an optimal trade-off between peak-shaving effect and reliability. Finally, the proposed model is applied on an IEEE six-bus test system and on a simplified real power system for verification, and the cost-effectiveness of the CSP plant in reducing the operational risk and providing peak-shaving is quantified.
AB - The large-scale integration of intermittent and uncertain renewable energy poses challenges for power system scheduling, especially for peak-shaving. In this paper, a multi-objective unit commitment model of jointly concentrating solar power plant and wind farm for providing peak-shaving considering operational risk (RMUC) is proposed. A concentrating solar power (CSP) plant is employed to improve renewable energy consumption and compensate wind power fluctuations. Firstly, an operational risk model under renewable energy integration with intermittency is constructed to quantify risks of wind curtailment and load shedding. Then, a novel RMUC model is established by incorporating operational risk into the unit commitment (UC) model, which can optimally allocate operational flexibility of power systems over spatial and temporal domains to reduce operational risk. The proposed model can co-optimize the uncertainty level and the peak-shaving operation, which is able to obtain an optimal trade-off between peak-shaving effect and reliability. Finally, the proposed model is applied on an IEEE six-bus test system and on a simplified real power system for verification, and the cost-effectiveness of the CSP plant in reducing the operational risk and providing peak-shaving is quantified.
KW - Concentrating solar power
KW - Operational risk
KW - Peak-shaving
KW - Wind generation uncertainty
UR - http://www.scopus.com/inward/record.url?scp=85119035758&partnerID=8YFLogxK
U2 - 10.1016/j.ijepes.2021.107754
DO - 10.1016/j.ijepes.2021.107754
M3 - Journal article
AN - SCOPUS:85119035758
SN - 0142-0615
VL - 137
JO - International Journal of Electrical Power and Energy Systems
JF - International Journal of Electrical Power and Energy Systems
M1 - 107754
ER -