Research On Source-Load Synergistic Distributed Robust Low-Carbon Economic Dispatch Of Integrated Energy System

With the global greenhouse effect and energy shortage becoming increasingly serious,all over the world are vigorously developing renewable clean energy business and transforming the existed high-carbon industries into low-carbon type.At the same time,the traditional single energy system has been unable to adapt to the development situation of the energy industry in today’s society because of its shortcomings such as low energy utilization rate,hard to absorb high proportion of renewable energy,and difficult to cope with the diversified energy demand of the load side.In this context,the integrated energy system has the property of energy conversion.It can realize the purpose of multiple energy complement each other,effective consumption of renewable energy,adaptation to diversified energy use and low carbonization of energy use.It can meet today’s increasing energy demand and reduce the impact of pollution on the natural environment.However,the current integrated energy system still faces several problems to be overcome in the field of low-carbon economic dispatch,such as the system’s source-load interaction carbon reduction characteristics have not been fully explored,and the uncertainty of internal renewable energy output will make it difficult to guarantee the effectiveness of the dispatching scheme in practical application.Based on the above background,this project takes the integrated energy system as the object to carry out the research and analysis of the solutions to the above problems.Firstly,in order to fully tap the carbon reduction capacity of the integrated energy system,this project establishes a joint carbon reduction operation framework on the source side,which includes energy conversion unit,CO₂ capture and storage unit and utilization unit.Through electric boiler units,power-to-gas equipment and cogeneration units,the conversion between electricity,gas and heat is realized,and electric energy can be converted into heat and gas energy in the time period when the scenery is multiple and cannot be absorbed in time,it effectively improving the absorption range of the system to the scenery.At the same time,the high-carbon emission thermal power units are equipped with flexible carbon capture devices for low-carbon transformation,and the captured CO₂ is sent as raw material to the synthetic natural gas supply network of power-to-gas equipment,it can reduce the carbon emissions and gas purchase costs of the system effectively.Secondly,a flexible demand response mechanism is established on the load side.The operator can guide the rational adjustment of the energy use scheme on the user side by regulating the energy price on the load side.During periods of high wind power and photovoltaic output,by reducing the electricity price and raising the gas price,users are guided to transfer the electricity load in the period of high electricity price,and pollution-free electricity load is used to partially replace the gas load with carbon emission.At the moment when the proportion of clean energy supply is relatively low and the proportion of energy supply of high-carbon emission units is high,by reducing the gas price and increasing the electricity price,the users are guided to transfer the electricity load at this time to the period of low electricity price.At the same time,the gas load with low carbon emission is used to partially replace the electricity load,so as to achieve the purpose of peak cutting and valley filling and reducing the carbon emission at the load side.Finally,through the cooperative regulation of the source side controllable unit and the load side energy price,the interactive regulation of the source side production capacity system and the load side energy use system is realized,and on this basis,a comprehensive energy system scheduling mode based on the source and load cooperative carbon reduction mechanism is proposed.Then,in order to solve the influence of the uncertainty of wind and photovoltaic power output on the optimal scheduling,considering the uncertainty of the uncertain variable ontology and the uncertainty of the probability distribution of the uncertain variable,the chance constrained distribution robustness is used to deal with it.Firstly,based on the inexact probability theory,the inexact dirichlet model is used to construct the cumulative probability distribution fuzzy set of wind and photovoltaic output prediction error.Then,based on the worst cumulative probability distribution in the fuzzy set,the robust interval set is established for the spinning reserve of thermal power units,so as to cope with the disturbance of wind-power output uncertainty to the system,and the robustness objective function is constructed to evaluate the rationality of the standby configuration.Finally,considering the constraint relationship between the robustness and economy of the scheduling scheme,a distributed robust economic multi-objective optimal scheduling model of integrated energy system is established.This model can not only eliminate the limitation of subjective setting of uncertainty set conservation in traditional distributed robust optimization,but also realize the optimal scheduling of robustness and economy.Finally,the example analysis verifies that the proposed source-load collaborative carbon reduction mechanism can maximize the low-carbon performance of the integrated energy system,improve the wind and photovoltaic absorption of the system and reduce the operating cost of the system.The distributed robust economic multi-objective optimization scheduling model can determine a scheduling scheme that takes into account both robustness and economy for the system,and has better adaptability in dealing with uncertainty problems,thus enhancing the feasibility and effectiveness of the scheduling scheme in practical engineering applications.