Research On Low Carbon Economic Optimal Dispatching Of Integrated Energy System With Concentrating Solar Power Station

As economic activities gradually recover,global energy consumption has greatly increased,directly leading to an increase in global carbon emissions and causing increasingly severe environmental problems.The energy industry is the main source of global carbon emissions,with the electricity industry accounting for 40%of carbon emissions from energy activities.Achieving the dual carbon goals in the short term poses an important challenge to China’s energy structure adjustment.Integrated Energy Systems(IES)integrate multiple energy sources,which is of great significance in promoting the consumption of clean energy and reducing carbon emissions.This article focuses on IES,taking into account both economic costs and environmental costs,and studies the low-carbon economic optimization scheduling problem of IES containing concentrating solar power(CSP)plants,integrated demand response strategies,and carbon trading mechanisms.Firstly,the research background and significance of IES low-carbon economic optimization scheduling were introduced.These were elaborated on from three aspects,including the introduction of solar thermal power plants,the research status of comprehensive demand response in integrated energy system optimization scheduling,and the research status of low-carbon economic scheduling strategies for integrated energy systems.Secondly,the basic structure of IES with electricity,gas and heat loads is constructed,and the mathematical model of each equipment in the system is established.In addition,considering the strong randomness and intermittency characteristics of wind and solar power output,a time correlation model based on multivariate standard normal distribution is established.By combining Monte Carlo sampling and scenario reduction based on k-means clustering algorithm,a typical set of wind and solar power output scenarios with time correlation is obtained,which provides more reasonable and reliable simulation data for subsequent IES low-carbon economic dispatch research.Then,a low-carbon economic optimization and dispatch model for an IES system with a solar-thermal power station was proposed.Based on a comprehensive energy system foundation that includes P2G devices,gas turbine,gas boiler,and other energy conversion equipment,the solar-thermal power station was introduced as the core unit for cogeneration of heat and electricity in the system.To balance the economic and environmental benefits of the comprehensive energy system,a carbon trading mechanism was introduced,with the cost of carbon trading included as an economic indicator in the optimization objective.This resulted in a low-carbon economic dispatch model for the electric-power-heat integrated energy system with the participation of the solar-thermal power station.The feasibility and effectiveness of the proposed model in reducing carbon emissions and economic costs of the comprehensive energy system were verified through numerical calculations.Finally,a low-carbon economic optimization scheduling model for IES was proposed that takes into account the ladder-type carbon trading mechanism and load demand response.By analyzing the dispatchable value of user-side electricity,gas,and heat loads,electric and gas flexible loads are subdivided into two forms:price load and substitute load.Two demand response models based on time-of-use electricity/gas prices are established respectively.Since there is thermal inertia and fuzziness in the process of transmitting energy in the heating system,the thermal load is also included as a flexible load in the demand response.In order to further limit the carbon emissions of IES,an additional optimization is made based on the traditional carbon trading mechanism model,introducing a penalty coefficient to obtain a ladder-type carbon trading cost model.This is added as an economic cost to the objective function to establish the IES lowcarbon economic optimization model.Three different scenarios were set up for simulation result comparison to verify that using a comprehensive demand response model and ladder-type carbon trading mechanism can significantly reduce system operating costs,decrease carbon emissions,and further optimize the low-carbon and economic nature of the system.