TY - JOUR
T1 - Assessments of economic benefits for hydro-wind power systems
T2 - Development of advanced model and quantitative method for reducing the power wastage
AU - Li, Huanhuan
AU - Mahmud, Md Apel
AU - Arzaghi, Ehsan
AU - Abbassi, Rouzbeh
AU - Chen, Diyi
AU - Xu, Beibei
N1 - Funding Information:
This work was supported by the Natural Science Foundation of Shaanxi Province of China [ 2019JLP-24 ]; and the Water Conservancy Science and Technology Program of Shaanxi Province [ 2018slkj-9 ].
PY - 2020/12/20
Y1 - 2020/12/20
N2 - Increasing the efficiency of an electric power system with cleaner productions is important for the fastest growing power industries. In this paper, hydro and wind renewable energy sources are considered to determine the optimal coordinated generation mode with high energy efficiency. In the proposed approach, the power efficiency is studied based on the quantification of economic benefits in the generation process. The economic benefit evaluating method is calculated by considering necessary items such as the regular operational cost, hydro regulation cost, power loss cost, plant investment and generation profit. From the operator's viewpoint, the mathematical expression of the hydro regulation cost is innovatively presented in the proposed method. To achieve the efficiency analysis, a new hydro-wind hybrid model is established using MATLAB/Simulink, which overcomes the previous limitation on data dependencies. Three real operating challenges, including the fluctuation of wind speed, the price volatility in market, and the influence of wind power permeation, are considered to reflect the relationship between the uncertain operating condition and optimal coordinated generation mode. Simulation results highlight the impact of real operating challenges on the hydro regulation cost, generation benefit and energy efficiency in the hybrid power system. The proposed model and method will result in a system with high efficiency and improved financial condition. Meanwhile, it will also benefit the policy development of renewable energy-based power industries.
AB - Increasing the efficiency of an electric power system with cleaner productions is important for the fastest growing power industries. In this paper, hydro and wind renewable energy sources are considered to determine the optimal coordinated generation mode with high energy efficiency. In the proposed approach, the power efficiency is studied based on the quantification of economic benefits in the generation process. The economic benefit evaluating method is calculated by considering necessary items such as the regular operational cost, hydro regulation cost, power loss cost, plant investment and generation profit. From the operator's viewpoint, the mathematical expression of the hydro regulation cost is innovatively presented in the proposed method. To achieve the efficiency analysis, a new hydro-wind hybrid model is established using MATLAB/Simulink, which overcomes the previous limitation on data dependencies. Three real operating challenges, including the fluctuation of wind speed, the price volatility in market, and the influence of wind power permeation, are considered to reflect the relationship between the uncertain operating condition and optimal coordinated generation mode. Simulation results highlight the impact of real operating challenges on the hydro regulation cost, generation benefit and energy efficiency in the hybrid power system. The proposed model and method will result in a system with high efficiency and improved financial condition. Meanwhile, it will also benefit the policy development of renewable energy-based power industries.
KW - Economic benefit
KW - Energy efficiency
KW - Hydropower
KW - Integrated power system
KW - Wind power fluctuation
UR - http://www.scopus.com/inward/record.url?scp=85090016084&partnerID=8YFLogxK
U2 - 10.1016/j.jclepro.2020.123823
DO - 10.1016/j.jclepro.2020.123823
M3 - Article
AN - SCOPUS:85090016084
SN - 0959-6526
VL - 277
JO - Journal of Cleaner Production
JF - Journal of Cleaner Production
M1 - 123823
ER -