A preliminary flow algorithm of network flow programming in economic dispatching of cascade hydropower station

Author(s):  
Wang Da Guang ◽  
Chen Feng
1991 ◽  
Vol 138 (1) ◽  
pp. 39 ◽  
Author(s):  
R.E. Rice ◽  
W.M. Grady ◽  
W.G. Lesso ◽  
A.H. Noyola ◽  
M.E. Connolly

1989 ◽  
Vol 21 (2) ◽  
pp. 63-75
Author(s):  
William A. Schiek ◽  
Emerson M. Babb

AbstractThe Southeast is a net importer of milk and milk products. Milk must be imported from other regions at certain times of the year. Reverse osmosis (RO) is a new processing technology which could significantly reduce milk transportation costs between regions by removing half the water from raw milk prior to shipment. A network flow algorithm, which incorporates federal milk orders and solves for the least cost procurement pattern, was used to assess the impact of RO on southeast milk marketing orders under alternative raw product pricing scenarios.


2015 ◽  
Vol 10 (3) ◽  
pp. 176-183
Author(s):  
Abdo Azibi ◽  
◽  
Ramzi Ayadi ◽  
Med Lassaad Kaddachi

2014 ◽  
Vol 521 ◽  
pp. 440-443 ◽  
Author(s):  
Ning Zhou ◽  
Ru Si Chen ◽  
Tao Lin ◽  
Qiang Li ◽  
Xiang He ◽  
...  

For intelligent distribution system including Distributed Generations, we take the generator and load static characteristic into account and propose a flexible power flow algorithm for distribution network including second-order items. First, this algorithm modifies the distribution network power flow equations including second-order items in order to meet the static characteristic of generator and load. Moreover, we use the fsolve function of MATLAB to solve the power flow equations. This algorithm makes full use of the characteristic of high accuracy of the distribution network flow equations including second-order items and good convergence of the fsolve function. Compared with conventional distribution power flow algorithm, it does not need to set the trend flexible node type of each one. Not only the voltage amplitude, phase information of each node and the system frequency information can be calculated, as well as the actual power of generator and loads. The result of the algorithm is more in line with the practical electric power system engineering. Improved IEEE33 node system is chosen to verify the correctness of the algorithm.


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