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Optimal allocation of hydropower and hybrid electricity injected from inter-regional transmission lines among multiple receiving-end power grids in China
- Source :
- Energy. 162:444-452
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- In China, due to the unbalanced distribution of energy center and load center, numerous transmission projects are built to improve the national energy allocation efficiency and the external electricity is playing an increasing important role in the daily operation of receiving-end grids. The current fixed-proportion method for energy allocation is relatively simple and easy to implement, but may produce unreasonable energy injection with the features of a straight line or “anti-peak regulation” in some cases, increasing the peak operation pressure of power systems. Thus, it is of great necessity to further improve the allocation scheme of inter-regional transmitted electricity among receiving-end power grids. As a new contribution to the research field, this paper develops a mixed integer linear programming model with the goal of minimizing the weighted peak-valley difference of multiple remaining load curves to address this problem. The presented model is applied to the East China Power Grid, and the results show that the presented model can obtain satisfying results in reducing the peak loads of multiple power grids. For instance, in the long-term simulations, the presented model can make about 23.7%, 5.9%, 5.7% and 8.3% reductions in the maximum loads of Shanghai, Jiangsu, Zhejiang and Anhui, respectively. Then, it can be concluded that optimizing the allocation of inter-regional transmitted electricity will be a viable way to reduce the peak operation pressure of multiple receiving-end power grids in China.
- Subjects :
- Mathematical optimization
Distribution board
Computer science
business.industry
020209 energy
Mechanical Engineering
0208 environmental biotechnology
02 engineering and technology
Building and Construction
Pollution
Industrial and Manufacturing Engineering
020801 environmental engineering
Power (physics)
Electric power system
General Energy
Electric power transmission
Transmission (telecommunications)
0202 electrical engineering, electronic engineering, information engineering
Electricity
Electrical and Electronic Engineering
business
Hydropower
Energy (signal processing)
Civil and Structural Engineering
Subjects
Details
- ISSN :
- 03605442
- Volume :
- 162
- Database :
- OpenAIRE
- Journal :
- Energy
- Accession number :
- edsair.doi...........e114f9c4e9c22aed1b5e0aa1a37801d4
- Full Text :
- https://doi.org/10.1016/j.energy.2018.08.045