Low-Carbon Optimal Scheduling Of Regional Integrated Energy System Considering Demand Response And Source-Load Uncertainty

With the increasingly serious environmental pollution and energy shortage caused by the rising energy demand,how to build a clean,low-carbon,flexible,efficient,open and interactive new energy system is the main challenge facing China’s energy industry at present.Under this background,the regional integrated energy source system with combined cooling,heating and power as the core has developed rapidly.The uncertainties of clean energy and multiple loads such as wind power and photovoltaic will pose a great threat to the safe and stable operation of the system.Demand response,as an important way for demand-side resources to flexibly participate in system interaction,can effectively improve the economic benefits of both supply and demand.Therefore,this paper takes the regional integrated energy system as the main body,taking into account the comprehensive demand response strategy,carbon trading mechanism and the uncertainty of source and load,and studies the optimal scheduling of the regional integrated energy system.First of all,taking the establishment of the basic architecture of the regional integrated energy system as the starting point,the operation characteristics of the energy equipment in the system are analyzed and the steady-state mathematical model is given.Then,based on the flexible characteristics and the schedulable value of the electricity,heat and cooling loads,the corresponding demand response models are established by using price and incentive methods respectively.Secondly,a day-ahead optimal scheduling strategy of regional integrated energy system considering the synergy of heat pump,demand response and carbon trading mechanism is proposed.Introduce the operation constraint of heat pump decoupling cogeneration unit at the source side of "heat to power" in part of the time;On the load side,consider the demand response involving multiple loads of electricity,heat and cooling to reduce the system peak-valley difference;At the same time,the carbon trading mechanism is introduced to comprehensively consider the operation constraints of all equipment in the system,the power interaction constraints of tie lines,the demand response constraints,etc.,and the optimal scheduling model is established with the goal of the lowest comprehensive operation cost of the system.By comparing different scenarios,the results show that the proposed strategy can reduce the system operation cost and carbon emissions.Finally,in order to solve the impact of source load prediction error on system operation,a multi-time scale scheduling strategy with demand response subsection participation is proposed.Based on the day ahead scheduling results,considering the different dynamic characteristics of electric energy flow and hot and cold energy flow in the intra day phase,the double-layer rolling optimization models of hot and cold energy in the long time scale and electric energy in the short time scale are established respectively.In the upper level scheduling phase,the output of heating and cooling equipment is adjusted reasonably to stabilize the fluctuations of hot and cold power;In the lower dispatching stage,the fluctuation of electric energy can be suppressed by taking part in the demand response and adjusting the output of power supply equipment by adopting the reducible load with short response time.An example shows that the proposed multi-time scale scheduling strategy can suppress the fluctuation of source load and improve the economy of the system.