Research On Energy Optimal Scheduling Method Of Integrated Energy System Of Micro-gas Turbine Type Considering Uncertainty

The key issue facing the development of the energy society is how to improve energy utilization efficiency and promote clean energy supply.The Integrated Energy System(IES)has the advantages of high energy supply efficiency,flexible system operation,and deep coupling between electricity,gas,heat and other energy sources,and greatly improves the ability to accept renewable energy.One of the mainstream ways of energy supply in the future.However,the complexity of the deep coupling between multiple energy sources,coupled with the multiple uncertain factors that the integrated energy system faces on both sides of the source and load,makes the operation and scheduling of the integrated energy system face many difficulties and challenges.This paper takes the integrated energy system of the micro gas turbine type as the object,and studies the system scheduling strategy in the presence of multiple uncertain factors.The main research contents include:1.The capacity configuration of the integrated energy system of the micro gas turbine type was carried out,with the minimum annual cost as the optimization goal,and the optimal capacity configuration of each equipment was obtained.The characteristic models of each equipment of the system were established,including models of micro gas turbines,fuel cells,fans,photovoltaic cells,heat pumps,heat exchangers,batteries and heat storage tanks.Finally,according to the dispatch optimization demand,a deterministic forecasting model for renewable energy power generation and load demand and an uncertainty forecasting model based on scenario analysis are established.2.The study of day-ahead optimal scheduling considering the uncertainty was carried out,and the day-ahead optimal scheduling strategy considering the uncertainty of the source side,the uncertainty of the load side and the uncertainty of both sides of the source and load was respectively proposed.When considering the uncertainty of the load side,considering the uncertainty of the thermal load side,the inertia of the heating network and the thermal comfort are considered,which makes the scheduling model more comprehensive,conforms to the actual process and improves the economics of scheduling.Finally,the simulation results of the three scheduling strategies are compared and analyzed in terms of calculation time,operating cost,and heat abandonment.It is found that the scheduling method that also considers the uncertainties of both sides of the source and load can fully coordinate and optimize multiple models on the basis of ensuring economy.This kind of operation of energy supply and energy storage equipment takes advantage of the energy transfer function of energy storage equipment and the complementary coordination of multiple equipment,thereby improving the flexibility and stability of system scheduling.3.Combining day-ahead scheduling with a large time scale and intra-day scheduling with a small time scale considering the bilateral uncertainty of the source and load,a micro-gas turbine type integrated energy system considering the bilateral uncertainty is proposed with a day-to-day two-stage multi-time scale.Optimize the scheduling strategy.Under the conditions of different forecast deviations in the day before and in the day,the two scheduling strategies based on certainty and uncertainty are simulated and compared and analyzed.The results show that the system is more flexible to schedule various equipment for coordination after considering the bilateral uncertainty,so that intra-day adjustments can better track the day-a-day setting value,reduce penalty costs,effectively reduce the phenomenon of abandoning wind and heat,and smooth the indoor temperature.Variety.The paper further proposes an intra-day rolling-dynamic adjustment two-stage multi-time scale optimization scheduling method that considers bilateral uncertainties,and compares it in detail with the day-a-day scheduling strategy that considers bilateral uncertainties.Simulation analysis shows that the two scheduling strategies have a better smoothing effect on the indoor temperature,the equipment is fully used,and the system is relatively stable;the scheduling strategy that considers the uncertainty in the intra-day rolling phase has better economic performance,while the day-a-day-intra-day scheduling Since the strategy does not require rolling optimization and calculation,it consumes less time,and can arrange the start and stop plan of each device as soon as possible,which is conducive to coping with the equipment scheduling problem with a long start time.