| Nowadays global climate change has become one of the biggest challenges to human development and the concept of green development is the common concern of all countries.At the general debate of the 75th Session of the United Nations General Assembly,General Secretary Xi Jinping made a solemn commitment to achieve "carbon peak" by 2030 and"carbon neutral" by 2060.In order to implement the goal of "dual carbon",China has put forward a series of policies and measures on energy-saving and environmental protection,among which improving the energy utilization rate of industrial parks is one of the most effective ways to accomplish the aim of "dual carbon".Industrial parks,which account for about 31 percent of national total carbon emissions,are key to the "dual carbon" target.Industrial load contributes most to industrial park load,the demand of which is large.The supply and demand scene of industrial park energy system is complex,including the production,transfer and utilization of various energy.New energy consumption in Chinese industrial parks accounts for less than 5%of the total energy consumption.The new energy represented by wind power and photovoltaic has a broad and prosperous development in the energy system of industrial parks.With the gradual increase on permeability of renewable energy in the energy system of industrial parks,its uncertain and intermittent characteristics further magnify the uncertainty brought by the multi-directional energy circulation in industrial parks,which threatens the safe operation of the power-heat-gas system in industrial parks.Traditional industrial parks lack specific research on different types of energy supply.The research on optimal scheduling of industrial parks is broad and general,which greatly affects the operation efficiency and economic and environmental benefits of the system.In order to solve the above problems,this paper summarizes the industrial parks of different energy supply types,conducts detailed research on the scheduling of industrial parks of different energy supply types,and constructs the research on the optimal scheduling model of industrial parks based on the premise of considering the consumption of scenery.Through this research,it is of great significance to improve the energy efficiency of industrial parks and explore the path to achieve the "dual carbon"goal of industrial parks.This paper takes the optimization scheduling of electric-thermal-gas in industrial park considering wind and photovoltaic absorption as the research object,integrating the theoretical knowledge of different disciplines such as CVaR,GlueVaR,Copula and robust optimization,to study the optimization scheduling of power system type,electric thermal system type,electric thermal gas system type and multi industrial parks.The uncertain output model of wind-load and other renewable energy is put forward by using correlation theory.The risk measurement theory is applied to control the risk caused by uncertain factors in optimal scheduling of the system.In the optimal scene-load scheduling of industrial parks,a scene-load optimal scheduling model based on a single Copula-Gluecvar is proposed to solve the problem of wind and photovoltaic absorption.In the optimization scheduling of electric-thermal system in industrial park,aiming at the problem of wind and light abandoning,this paper proposes the strategy of using wind and light abandoning to generate power and heat and builds the optimization scheduling model of electric-thermal system in industrial park based on hybrid Copula.A hybrid Copula-Glue VaR based robust optimal scheduling model is also developed to solve the uncertainty problem on both sides of supply and demand in the power-heatgas optimal scheduling of industrial parks.Finally,in the power heat gas optimal scheduling of multiple industrial parks,a distributed optimal scheduling model based on robust optimization is proposed for the scheduling complexity of multiple industrial parks.The main research work of this paper is as follows:(1)Aiming at the problem of wind and photovoltaic-load optimal scheduling in industrial parks,wind and photovoltaic-load optimal scheduling model based on a single Copula is proposed on the basis of considering wind and photovoltaic consumption.Firstly,a single Copula is used to describe the correlation between wind power and photovoltaic.Secondly,according to the risk measurement of wind power and photovoltaic interconnection,the traditional Glue VaR is extended to GlueCVaR,and its monotonicity,weak degree additivity properties are proved.Then,GlueCVaR is used as the indicator of wind power and photovoltaic interconnection.Based on this,the impact of wind powerphotovoltaic combined grid connection on the power grid is controlled.Finally,combined with Copula,GlueCVaR and multi-objective optimization method,wind and photovoltaicload scheduling model based on a single Copula is constructed,and the varianted RothErev in reinforcement learning is applied to solve the optimization scheduling model.The calculation results show that the output variance of thermal power units per unit time period based on the single Copula model is 76%less than that of the model without load transfer.wind and photovoltaic output ratio can reach close to 60%when the maximum,with the total output ratio being 33%.Thus,The wind and photovoltaic-load optimization scheduling model based on single Copula in industrial park reduces the harm of the wind-photovoltaic interconnection to the safe operation of distribution network,ensuring the safe operation of power distribution network.It reduces the output variance of thermal power units per unit time period in controlling the cost of operation dispatching center,improving the joint efforts of wind and photovoltaic.(2)In view of the optimization scheduling problem of the electric-thermal system in the industrial park,on the basis of considering the absorption of wind and photovoltaic,a hybrid Copula-based optimization scheduling model of the electric-thermal system in the industrial park is established by using wind and light abandoning power generation and heating.A single Copula is simple to calculate but has low precision.In order to improve the precision of depicting the correlation of wind and photovoltaic,this paper uses mixed Copula to depict the correlation of wind and photovoltaic.Mixed Copula can improve the accuracy but increase the difficulty of calculation at the same time.In order to describe the thermal load curve under the background of diverse heating forms,the prospect theory is used to describe the thermal load curve in the thermal system.Then,combined with the hybrid Copula,prospect theory and multi-objective optimization method,the optimization scheduling model of the electric-thermal system in industrial park based on the hybrid Copula is constructed,and the genetic algorithm are applied to solve the model.The results show that the optimal dispatching model based on hybrid Copula can save 14%of thermal power cost,23%of heating cost,and 15%of distribution side fluctuation variance.Heating users sign agreements with wind-photovoltaic combined power producers to use wind and light power generation and heating at a lower price,which reduces heating costs while absorbing scenic energy and reducing the use of thermal power.It can be seen that the optimal scheduling model of electric and thermal system in industrial park based on hybrid Copula has the characteristics of economy,environmental protection and security.(3)In the optimization scheduling of electricity,heat and gas in industrial parks,a robust optimization scheduling model based on hybrid Copula-Glue VaR is proposed on the basis of considering the uncertainties of wind and photovoltaic absorption and system supply and demand.Firstly,the correlation between wind power and photovoltaic is depicted by hybrid Copula.Aiming at the risk measurement of wind power and photovoltaic interconnection,GlueCVaR is proposed as the index of wind power and photovoltaic interconnection quantity,and the impact of wind power and photovoltaic interconnection on the power grid is controlled accordingly.Secondly,in order to consider the uncertainty factors on the load side,the robust uncertainty set was is used to construct the load-side uncertainty factor model.Finally,a hybrid Copula,Glue VaR and robust optimization method was is used to construct an optimization scheduling model of the electric-thermo-gas system in industrial park based on the hybrid Copula and Glue VaR,and with the column constraint and generation algorithm were applied to solve the model.The results show that the cost of the two-stage robust optimization is 3.4%higher than that of the deterministic optimization method.In the diurnal scheduling stage,the difference between diurnal scheduling and real-time energy supply needs to be compensated by adjusting unit output.For the two-stage robust optimization scheduling,the conservative day-ahead scheduling plan makes it more flexible and makes the intraday adjustment cost relatively low,which is 69.71%lower than that of the deterministic optimization method.The total operating cost of the operation strategy system proposed by the two-stage robust optimization is 7.22%lower than that of the deterministic optimization.Therefore,compared with the deterministic optimization,the scheduling strategy based on the two-stage robust optimization scheduling model has stronger robustness and ability to resist the fluctuating risks of wind power,photovoltaic and multienergy loads.(4)In the power heat gas optimal scheduling of multiple industrial parks,a distributed scheduling model for multiple industrial parks based on robust optimization is proposed on the basis of guaranteeing the independent scheduling of industrial parks.Firstly,the uncertainty set of industrial park energy use is constructed by using robust optimization theory,so as to limit the range of the park’s participating dispatching variables;Secondly,a two-layer distributed optimal dispatching model is built to save the operation cost of industrial parks and improve the overall economy of multiple industrial parks on the premise of ensuring the stable operation of the power system.Finally,the model is solved by genetic algorithm.The calculation results show that through the two-layer distributed optimal dispatching model of multiple industrial parks based on robust optimization,the operation cost of multiple industrial parks is reduced by 4.72%on average,the average total load of multiple industrial parks is reduced by 18.85%,the total load is reduced by 18.86%,and the square difference of total load is reduced by 7.64%.It can be seen that the optimized dispatching model built in this paper improves the security of the stable operation of the power system,reduces the operation cost of the industrial park,and improves the economy. 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