Multi-objective optimal load distribution based on economy, environmental protection and speediness in power plants

Author(s):  
Yuan Gui-li ◽  
Yu Tong ◽  
Gan Mi
2014 ◽  
Vol 494-495 ◽  
pp. 1715-1718
Author(s):  
Gui Li Yuan ◽  
Tong Yu ◽  
Juan Du

The classic multi-objective optimization method of sub goals multiplication and division theory is applied to solve optimal load distribution problem in thermal power plants. A multi-objective optimization model is built which comprehensively reflects the economy, environmental protection and speediness. The proposed model effectively avoids the target normalization and weights determination existing in the process of changing the multi-objective optimization problem into a single objective optimization problem. Since genetic algorithm (GA) has the drawback of falling into local optimum, adaptive immune vaccines algorithm (AIVA) is applied to optimize the constructed model and the results are compared with that optimized by genetic algorithm. Simulation shows this method can complete multi-objective optimal load distribution quickly and efficiently.


2014 ◽  
Vol 521 ◽  
pp. 490-493 ◽  
Author(s):  
Li Jun Qin ◽  
Jia Di Li

In order to meet new mode of operation in current Chinese electricity market, the paper puts forward the multi-objective optimization for plant-level load distribution based on economy and environment protection. It can balance the benefits between power plants and grids. While it can minimize coal consumption, reduce the emission of pollutants and make important effects on economy and environment. This paper proposes to calculate the sum cost of coal and sewage as the new model of objective function. Through the different weights on economy and environment, plants change the assigned load so as to make the objective function minimum and achieve the optimal load distribution. At the last we can get a optimal curve by simulation.


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