Critical peak price optimization model and sensitivity analysis considering coal consumption rate
Critical peak pricing(CPP)is an important means to achieve energy conservation and emission reduction on the power generation side through demand-side management.The existing mainstream electricity price optimization model ignores the influence of CPP on the supply side of power generation,and the analysis of the difference between the terminal power consumption behavior on critical-peak days and non-critical-peak days is also insufficient.In this paper,by studying the influence mechanism of CPP on the operation of units on the power supply side,the difference in power consumption behavior of the end is explored,the power demand response model for different periods is designed,and the multi-objective optimization model of CPP is constructed by comprehensively considering the satisfaction of end users and the power supply coal consumption on the power generation side,and the NSGA-Ⅱ genetic algorithm is used to solve it.Based on three types of scenarios,the sensitivity of the user demand response model parameters,terminal satisfaction constraints,and electricity price rate restrictions to CPP pricing,load improvement and unit coal consumption reduction,and verify the effectiveness of the model.The results show that the improved price optimization model has good effect,and the user response slope,terminal satisfaction,and electricity price rate restriction have great effects on CPP pricing,load improvement and unit coal consumption reduction.
critical peak pricingcoal consumption for power supplyelectricity price ratessensitivity analysis
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