Yue Chen, Feng Liu, Wei Wei, 等. Robust unit commitment for large-scale wind generation and run-off-river hydropower[J]. 中国电机工程学会电力与能源系统学报(英文), 2016,2(4):66-75.
Yue Chen, Feng Liu, Wei Wei, et al. Robust unit commitment for large-scale wind generation and run-off-river hydropower[J]. CSEE Journal of Power and Energy Systems, 2016, 2(4): 66-75.
Yue Chen, Feng Liu, Wei Wei, 等. Robust unit commitment for large-scale wind generation and run-off-river hydropower[J]. 中国电机工程学会电力与能源系统学报(英文), 2016,2(4):66-75. DOI: 10.17775/CSEEJPES.2016.00051.
Yue Chen, Feng Liu, Wei Wei, et al. Robust unit commitment for large-scale wind generation and run-off-river hydropower[J]. CSEE Journal of Power and Energy Systems, 2016, 2(4): 66-75. DOI: 10.17775/CSEEJPES.2016.00051.
Robust unit commitment for large-scale wind generation and run-off-river hydropower
摘要
Abstract
Increased penetration of large-scale renewable sources such as wind and solar power creates additional constraints for power system maintenance
reliability and security. The intermittent and fluctuation characteristics of renewable energy require robust operation methodologies. Co-optimized scheduling of multiple energy resources is regarded as an efficient way to accommodate renewable energy. As the second largest source of electricity in the world
hydropower is clean and has the merits of ease of regulation
low cost and high flexibility. In this regard
it can play an important role in mitigating the uncertainty of wind power. This paper proposes a robust wind-hydro-thermal unit commitment (UC) model that provides reliable day-ahead unit commitment decisions. The hydro units are operated in longer time scales than the thermal units
so as to capture reservoir operations. The hydro production capability curve is linearized by using variable separation and the piecewise linear (PWL) function
leading to a mixed integer linear programming (MILP) problem that can be solved using mature software such as CPLEX. Numerical tests on an IEEE 39-bus system demonstrate the effectiveness of the proposed model to increase system flexibility in accommodation of uncertain wind power.