| In recent years,China’s social economy has developed rapidly,and the country’s industrial structure has been continuously adjusted.Promoting the rational development of hydropower will effectively guarantee China’s clean power supply,and comprehensively promote the improvement of the energy structure and the development of social economy.According to the "Thirteenth Five-Year Plan",as of 2020,China’s total installed hydropower capacity will reach 380 million k W.Based on such a huge volume,China’s rich hydropower resources will be deeply excavated and utilized to improve water resources.Utilization efficiency is of great significance to ensure the stabilization and economicalization of energy supply,and it has also become the research focus of hydropower workers.With the large-scale development of hydropower,the commonly used optimization methods have their own advantages and disadvantages.The traditional optimization scheduling method represented by the DP algorithm is easy to fall into the "dimensional disaster" brought by the discretization processing,and the heuristic intelligent algorithm is vulnerable to search rules.The limitations of the algorithm fall into the local optimum,and the comprehensibility of the algorithm and the reliability of the results need to be verified.To this end,this paper aims at the difficult problem of solving the optimal scheduling problem,starting from a new perspective,re-examining the optimal scheduling problem,carrying out related research,and obtaining the following research results.First of all,this paper establishes an optimal dispatch model for the optimal dispatch problem,taking the maximum power generation as the optimization criterion.In addition,research on commonly used optimization techniques is carried out,starting from the time complexity,the focus is on the analysis of dynamic programming and its series of algorithms.At the same time,new methods in the field of optimization scheduling in recent years are introduced and researched.Secondly,Based on the essence of optimal scheduling,it is dissected into "when to schedule" and "scheduling decision".Starting from two essential problems,this paper introduces new methods and new means,and makes economic analysis of optimal scheduling problem by means of marginal benefit framework.It is clear that when water consumption is allocated in multiple periods and the amount of electricity generated remains unchanged,the current period and the future period have a competitive relationship for the same amount of electricity generated.Only by ensuring the equilibrium of marginal benefits in each period,can the same amount of water generate the maximum economic benefits in all periods.Thirdly,this paper calculates the increment of power generation benefit brought by unit water volume,determines the loading priority of water consumption period,proposes the loading principle of time period under the combined benefit coefficient,and solves the problem of "when to dispatch".Qualitative and quantitative analysis of the amount of water in the reservoir is carried out,and the corresponding formula is derived.By calculating the reserved amount of water and the decision space,the quantitative calculation is carried out to make the decision of power generation,and the problem of "dispatch decision" is solved.The research process is formulated and streamlined,and an optimal scheduling calculation method based on marginal benefit coefficient ranking is proposed.Finally,using classical imperial questions for this article verifies the rationality of the proposed method,the results show that the method can take into account in solving the problems in the imperial and solution efficiency and precision of the efficiency of the presented approach are verified,at the same time to solve YS river basin on the reservoir,the contrast algorithm,in solve the medium reservoir optimization scheduling problem with relatively good practical value. |
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