Research On Optimal Economic Optimization Of Deep-peak Regulation For Thermal Units

Due to the random uncertainty of the new energy output and the irrational power supply structure,the peak shaving pressure of the regional power system is increasing.Using the deep variable load capacity of thermal power units for peak shaving is an idea to solve this problem.However,at this stage,the willingness of thermal power units to perform deep peak regulation is insufficient.The root cause is that thermal power units have high energy consumption and poor economy during long-term low-load operation,and the pollutants emitted by coal-fired units during low-load operation are much higher than The emissions during the operation of the base load,and the invisible life loss cost,so it is very important to study the economics of deep peak shaving of thermal power units.Firstly,an economic cost model with the goal of the lowest peak-shaving cost under variable load conditions is established for a thermal power unit that has been transformed by thermal power flexibility.Economic cost includes two aspects,one is the peak shaving operation cost including coal consumption cost,pollutant discharge cost and depreciation life loss cost,and the other is paid deep peak shaving compensation cost.The compensation cost model is based on the Northeast Electric Power Peak Shaving Auxiliary Service Market.And according to the specified peak shaving depth for segmentation processing.Secondly,the new optimization algorithm Sine Cosine Algorithm(SCA)and Genetic Algorithm(GA)are used to study the load optimization distribution problem,and the traditional genetic algorithm is used to solve the problem of slow convergence of the unit load optimization distribution problem.The improved accelerated genetic algorithm,based on the basic genetic algorithm,has improved the genetic algorithm in three aspects: initializing the population,selecting,and crossing,so that the convergence speed is greatly improved.Finally,a comparative analysis of economy and fastness of SCA and AGA in solving unit load optimal allocation is carried out.The SCA can obtain higher economical efficiency,and the AGA can obtain satisfactory fastness when the scheduling requires high real-time performance.And analyzed the coal consumption cost,life loss cost,and total deep adjustment operation of the thermal power unit at several peak shaving depths.Under the economic benefits,the analysis shows that as the depth of peak shaving increases,the economic benefits of deep adjustment of thermal power units also increase.If the thermal power generating unit can release more peak shaving space,it will not only help new energy access to the grid,but also the thermal power enterprises can obtain higher economic benefits,and achieve a win-win situation for new energy companies and thermal power companies.