Build the regional power grid load model dynamic database using ANN and multi-agent

Author(s):  
J.C. Zhang ◽  
C.X. Zhang ◽  
A.H. Yan ◽  
K. Li ◽  
P.F. Zhang ◽  
...  
2014 ◽  
Vol 484-485 ◽  
pp. 644-649
Author(s):  
Yao Xian Li ◽  
Chen Wen Ma

The reasonability of the adopted capacity load ratio numerical value in urban power grid planning determines the economy of planning level yearly power grid.Too large capacity load ratio will result in the increasing investment in the early period of power grid construction, however, too small capacity load ratio will make the power grid have poor adaptability, affecting the power supply. Reasonably determining the adopted regional power grid capacity load ratio quantitative numerical value in planning has a strong guiding significance for constructing reliable and economic power grid and preventing power grid from excessive advance or lagging behind the load development. This paper, through the statistics and analysis of a certain regional power grid 2010-2012 three years power grid daily load characteristics and the investment benefit evaluation of three years 220KV power grid individual project, makes a preliminary analysis and puts forwards the specific advice on the reasonable values of power grid 35-220KV power transformation capacity load ratio.


Author(s):  
Jing-wen Chen ◽  
Yan Xiao ◽  
Hong-she Dang ◽  
Rong Zhang

Background: China's power resources are unevenly distributed in geography, and the supply-demand imbalance becomes worse due to regional economic disparities. It is essential to optimize the allocation of power resources through cross-provincial and cross-regional power trading. Methods: This paper uses load forecasting, transaction subject data declaration, and route optimization models to achieve optimal allocation of electricity and power resources cross-provincial and cross-regional and maximize social benefits. Gray theory is used to predict the medium and longterm loads, while multi-agent technology is used to report the power trading price. Results: Cross-provincial and cross-regional power trading become a network flow problem, through which we can find the optimized complete trading paths. Conclusion: Numerical case study results has verified the efficiency of the proposed method in optimizing power allocation across provinces and regions.


Sign in / Sign up

Export Citation Format

Share Document