Research On Low-Carbon Economic Dispatch Of Integrated Energy Systems Considering Demand Response And Source-Load Uncertainty

In the context of fossil fuel depletion and the increasing prominence of the greenhouse effect,changing the energy structure dominated by fossil fuels and developing a high proportion of clean energy has become a global consensus.The Integrated Energy System(IES)conforms to the development of the times and can organically coordinate and optimize the generation,supply,consumption,and storage of various energy sources to achieve multi-energy complementarity.However,the grid connection of wind and solar power has had a significant impact on the safe and stable operation and dispatch plan of the power system.The prominent problems of abandoning wind and light and the problem of indirectly increasing the peak-valley difference in electricity load due to grid connection cannot be ignored.Therefore,this paper takes IES as the research object,fully considers the uncertainty factors of source load,and uses flexible load to participate in system demand regulation to ensure safe and stable operation of the system,promote wind and light consumption,and improve the economic benefits of the system.Firstly,a framework structure of IES based on cold,heat,electricity,and gas interaction was established,and according to the physical characteristics of each device,relevant mathematical models were established.In addition,the operating characteristics of waste incineration power plants,carbon capture,and Power to Gas(P2G)systems were analyzed.A joint operation model of wind-light-waste incineration-carbon capture-P2 G was established to make use of the multi-energy complementary characteristics of IES to make wind power and photovoltaics schedulable resources that can be flexibly utilized.Secondly,for the flexible adjustment characteristics and dispatching potential of electric,cold,and heat loads,an electric load demand response model based on consumer psychology models and a cold-heat load demand response model based on user comfort were established.An IES low-carbon economic dispatch model considering Integrated Demand Response(IDR)with economic optimality as its goal was constructed and solved using mathematical programming software GUROBI.Simulation verification showed that integrated demand response and joint operation can smooth load fluctuations and promote wind and light consumption,while carbon capture,carbon trading,and P2 G can achieve low-carbon economic operation of the system.Finally considering the uncertainty of wind power output,photovoltaic output and load,fuzzy chance-constrained programming theory was introduced.The uncertainty on both sides of source and load was expressed by fuzzy variables.The trapezoidal membership degree parameters were applied to clarify them.An IES optimization scheduling model based on fuzzy chance constraints was established.The calculation results show that reasonable setting of fuzziness and confidence level can enable the system to obtain optimal economic benefits under acceptable operating risks.