In recent years,the rapid development of renewable energy and large-scale integration to the power system have been promoted under the green and low-carbon transformation of energy consumption,and the inherent volatility and intermittency of renewable energy power generation represented by wind and solar energy has brought greater uncertainty to the power system.It is urgent to improve the flexibility in all aspects to ensure the safe and stable operation of the power system.At present,the enhancement of the thermal power unit flexibility on the power generation side is an effective measure to improve the flexibility of the power system.While,with the continuous increase in the proportion of electricity used by commercial and residential customers and the popularity of intelligent appliances,demand response has become an important resource in improving the flexibility of the power system operation.In view of the high proportion of electricity consumption of temperature control load for commercial and residential customer and its great flexibility potential,this paper focuses on exploiting the flexibility of temperature control load for commercial and residential customer based on price-based demand response,and analyzes the influence of flexibility of temperature control load on optimal operation of the power system.The main work is as follows:First,an energy management model is established for temperature control load of commercial and residential customer which can actively optimize its electricity consumption according to power prices.Subsequently,the response characteristics of temperature control load,by which the price elasticity of demand of temperature control load is quantified,based on energy management is explored.Then,taking the parameters heterogeneity of aggregation of temperature control load into account,the price elasticity of demand for heterogeneous temperature control load is modeled,and the flexibility calculation method of heterogeneous temperature control load is proposed.Finally,a flexibility model of heterogeneous temperature control load under the time-of-use power price which is widely implemented for commercial and residential customers is established.In order to explore the influence of the flexibility of temperature control load on the power system operation,an optimal scheduling model of power system is established,which takes the flexibility of temperature control load into consideration.And then,the proposed model is transformed into a mixed integer linear programming problem by the piecewise linearity and constraint relaxation.Furthermore,the influence of flexibility of temperature control load under time-of-use power price on the power system operation is analyzed from the perspective of thermal power unit output,wind curtailment rate and total cost.In particular,the relationship between flexibility of temperature control load under time-of-use power price and improvement of wind curtailment rate is analyzed.Focused on the uncertainty of wind power,a scenario generation method about wind power based on interval division is proposed.On this basis,a wind power uncertainty model based on power system reliability reserver constraints is established through the generated wind power scenario.Meanwhile,the uncertainty model is built for the response interval of temperature control load.Subsequently,based on robust optimization,the optimal scheduling of power system considering the uncertainty of wind power and temperature control load is built.Further,a model solution method based on column-and-constraint generation is proposed and the case study verifies the effectiveness of the proposed model and method. |