| People's demand for electric energy is increasing with the development of social economy,but the traditional way of thermal power generation is not only unable to meet such a large amount of power demand,but also leads to serious energy and environmental problems.Therefore,through the development of clean energy power generation mode,such as hydropower,photovoltaic power generation and wind power generation,it can not only meet the social demand for electricity,but also provide a new way to protect the environment,alleviate the fossil energy crisis and build an environment-friendly society.However,due to the influence of environment and climate,photovoltaic,wind energy and other new energy can not guarantee the stability and controllability of output,and with the increasing penetration of this type of energy in the power grid,it is bound to have an adverse impact on the dispatching and security of the power grid.In addition,the power grid in Southwest China is a typical hydropower dominated power grid,and the installed capacity of wind power and photovoltaic is also increasing year by year.The proportion of three types of energy generation accounts for 84% of the total power grid,which may be higher in some regions.It is of great significance to study this kind of grid with high proportion of renewable energy to promote renewable energy consumption,reduce carbon emissions,and promote the realization of carbon peak and carbon neutralization goals.Therefore,taking a regional power grid as an example,this paper studies the day ahead economic dispatch problem of the joint system by combining water,light and wind energy to form a joint dispatch system;regards hydropower as the schedulable resource in the regional power grid,reduces the randomness and volatility of wind and light output,and promotes the consumption of new energy;at the same time,aiming at the uncertainty of new energy output The information gap decision theory is used to describe the difference between the actual value and the predicted value of wind and light output,and the "gap" method is used to express it.Finally,the theory is used to quantify the output uncertainty and to express the tolerance of the system to this uncertainty.The validity and accuracy of the theory in the process of quantification are verified by the analysis of an example and the results of calculation.The specific three tasks are as follows:Firstly,the existing renewable energy unit output prediction methods,multi energy joint dispatching problems and cascade hydropower station model solving are summarized.Then,four main uncertain optimization methods(stochastic optimization,fuzzy optimization,robust optimization and interval optimization)are briefly introduced.In view of the shortcomings of the above four optimization theories in dealing with uncertain problems,this paper introduces a non-probabilistic and non-fuzzy uncertain optimization method information gap decision theory,and introduces the theory from two aspects of optimization model and optimization decision.Then,taking the Flemish-Braban regional power grid in Belgium as an example,considering the joint scheduling of single uncertain energy(solar energy)and gas turbine,taking the scheduling cost as the objective function,the applicability and economy of information gap decision-making theory in solving such problems are verified.Finally,considering the lowest power purchase cost as the objective function,a non-convex nonlinear mathematical optimization model is built from the perspective of energy constraints and joint constraints in the joint system.Finally,taking a regional power grid as the object,the commercial solver CPLEX is used to solve the optimization model.The results show that the uncertainty of wind and light output can be quantified effectively by using the information gap decision theory,and the tolerance of wind and light output can be described by scheduling cost;different optimization strategies will have a certain impact on the scheduling cost and tolerance. |
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