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Study On Plant-level Load Optimal Dispatching Scheme Of Wind-Fire Complementary

Posted on:2020-11-16Degree:MasterType:Thesis
Country:ChinaCandidate:X ChenFull Text:PDF
GTID:2392330578968678Subject:Engineering
Abstract/Summary:PDF Full Text Request
With the large-scale integration of wind power,due to the randomness and fluctuation of wind power,power grid requires thermal power plants to respond quickly to load,but the current operation mode of power system is difficult to take into account the economic operation of power plants.At this time,the state proposed the transition from "sub-unit dispatching" mode to "sub-plant dispatching",that is,plant-level load dispatching mode,which can reduce the cost of power generation in thermal power plants.Because of the flexibility of thermal power generation,the impact of wind power stochastic and volatility can be suppressed.Therefore,it is of great significance to study the wind-fire complementary plant-level load optimal allocation technology.In this paper,thermal power plants and wind farms are regarded as "virtual power plants" and wind farms as a unit to study the optimal load distribution technology of wind-fire complementary plant level.Aiming at the disadvantage that the traditional quadratic polynomial coal consumption characteristic curve does not consider the valve point effect,a dynamic coal consumption model considering the valve point effect is established,and the dynamic coal consumption model of thermal power unit is solved by the least square method and the RBF neural network non-linear prediction,respectively.Normal distribution probability is used to define the relationship between actual output,predicted output and standard deviation of dispatched daily wind farms,determine the constraints of wind power on reserve demand of the system,study the static plant-level load optimal distribution system model with multi-objective of economy and rapidity,study the dynamic plant-level load optimal distribution system model with economy as the objective,and propose the capture method.The genetic algorithm is used to solve the distribution results.The simulation results verify the accuracy of the model proposed in this paper.It shows that the plant-level load optimal distribution system of thermal power plants can meet the backup capacity requirement of wind power access,can also save the cost of thermal power plants on the premise of ensuring the system security.
Keywords/Search Tags:Plant-level load distribution, Dynamic coal consumption characteristics, Wind power, Least squares method, RBF neural network, Genetic algorithm
PDF Full Text Request
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