Decision-making Of Multi-objective Optimal Operation Of Reservoir Based On Fuzzy Optimization Theory

Reservoir power generation optimization scheduling is an important technical means for the utilization of reservoir water resources.Its power generation scheduling plan directly affects the current power generation revenue of the hydropower station and the stability of power supply in the region.Optimal generation scheduling is a complex multistage,multi-objective and multi-constraint model.Multi-objective scheduling is a key and difficult point in optimal scheduling.This paper takes multi-objective power generation optimal dispatch as the starting point,and takes power generation and guaranteed output as dispatch targets,and establishes a multi-objective model of power generation dispatch.At present,the mainstream idea of multi-objective optimization problem processing is to obtain a non-inferior solution set through a multi-objective optimization algorithm,and then obtain a satisfactory solution from the combination of decision-making methods.After comparing the traditional multi-objective optimization algorithm and multi-objective evolutionary algorithm,this paper applies the NSGA-Ⅱ algorithm,which is more extensive and has better practical effect,to solve multi-objective.The non-inferior solution set of the solution is used as a candidate for decision-makers.select.The NSGA-Ⅱ algorithm is an evolutionary algorithm with a strong global search capability and a large number of uniform solutions during a single round of optimization.It effectively overcomes the limitations of traditional methods and performs well in maintaining population diversity and superiority.At the same time,considering the uncertainty of scheduling target weight distribution and the problem of multi-objective multi-scheme selection,fuzzy decision-making is generally used to optimize and rank the schemes in optimal scheduling.This paper takes fuzzy optimization theory as the main decisionmaking method,and compares it with fuzzy comprehensive evaluation method and TOPSIS method.It shows the advantages of fuzzy optimization theory in handling multiple options optimization.This article mainly describes the optimal dispatching of reservoirs from the perspective of optimal dispatching methods and dispatching schemes.At the same time,it draws on the theories and methods of multi-objective evolutionary algorithm,fuzzy optimization theory and constraint processing mechanism,and finally obtains the decision-making plan from the non-inferior solution set.The main research results and conclusions of this article are as follows:(1)Taking fuzzy multi-objective optimization decision as the starting point,this paper establishes a multi-objective fuzzy optimal dispatch model of reservoirs with annual power generation and guaranteed output as dispatch targets.The two targets are respectively fuzzy processed,membership functions are established,and satisfaction is introduced.Degree k transforms the multi-objective problem into a single-objective optimization problem with the greatest satisfaction.(2)Taking the Three Gorges Reservoir as an example object,this paper establishes a multi-objective power generation dispatch model.When comparing the common multiobjective evolutionary algorithms,the NSGA-Ⅱ algorithm was selected to solve the multiobjective model,and a non-inferior solution set with broad coverage,uniform distribution,and approaching the Pareto front was obtained,which laid a good data for the subsequent multi-objective multi-schema optimization work.basis.(3)In the process of optimizing the plan,this paper adopts the subjective and objective comprehensive weighting method,uses the binary fuzzy comparison method to calculate the subjective weight,and uses the entropy weight method to calculate the objective weight.The subjective and objective comprehensive weighting method of the organic synthesis of the two not only considers the preference of human decision-making,but also starts from the data itself,and returns the information of the target weight by calculating the information entropy,and calculates the available annual power generation and the weight of the guaranteed output.It is 0.541,0.459.The result is more convincing than the single weighting method,and provides reliable data support for the fuzzy optimization model.(4)In this paper,fuzzy optimization theory is the main decision-making method,and fuzzy comprehensive evaluation method and TOPSIS method are used as auxiliary decision-making methods to transform the problem of scheme optimization into a comparative problem of relative superiority.The data shows that both the classical fuzzy optimization method and the TOPSIS method can judge the priority degree corresponding to the scheme 13 is the largest,and the ranking of the priority degree of each scheme is completely consistent.However,the fuzzy comprehensive evaluation method has a deviation in the judgment because of the difference in the evaluation principle By averaging the results of the three methods,the relative superiority of Scheme 13 is still the largest.Under the same conditions,different decision-making methods may produce different results.Decision-makers need to carefully compare and combine the actual problem scenarios to complete the optimization of the program.(5)Based on the premise that the results of the decision-making scheme are relatively reasonable,the fuzzy optimization theory can distinguish the relative advantages and disadvantages of the scheme more when dealing with the scheme optimization problem with very little data difference,and the effect is better than the other two methods.