Benefit Analysis and Optimization Algorithm for Thermal-Pumped Storage Power Joint Operating System
Thermal-pumped storage joint operation can significantly improve the system's economic and environmental benefits.Based on the different economic and environmental benefit demands for scheduling schemes in practice,this paper,based on the weight coefficient,constructs the thermal-pumped storage joint operation model,in order to analyze the effects of pumped storage units on the system power generation cost and and emission.The model takes minimum total cost (including fuel costs,start-up costs and emmission costs) as the target function,and in the target function the adjustable cost weight coefficient is set.Secondly,this paper proposes the gravitational search algorithm improved by chaos algorithm,using chaos algorithm for local search optimization and solving the thermal-pumped storage joint operation model.Case analysis verifies the rationality and validity of the model and algorithm.The research results show that the introduction of pumped storage units can effectively improve the economic benefits and environmental benefits of power generation.
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