Research on two-level optimization model of demand side resource aggregation participating in peak shaving
With the continuous expansion of the scale of renewable energy and the continuous development of economic level,the problem of insufficient peak shaving capacity of power system is becoming increasingly prominent.As a flexible regulation resource,the development of demand response is conducive to improving the safety and flexibility of power system operation and alleviating the pressure of peak shaving.Based on the above reasons,firstly,the demand response technology is applied to the peak shaving service,and a two-layer optimization model is established,in which the demand-side resource aggregation participates in peak shaving.At the model level of electricity retailers,the price strategy is determined to maximize the interests of the electricity retailers.At the model level of users,the electricity consumption decision is made based on the price signals of the electricity retailers and to maximize the utility of users.Secondly,the Karush-Kuhn-Tucker(KKT)complementary relaxation condition is used to transform the user-level model into the constraints of the electricity retailer-level model,and then the nonlinear terms in the transformed single-layer nonlinear model are linearized based on the Big-M method.The example analysis shows that the two-layer model can effectively describe the process of demand side resource aggregation participating in peak shaving,and provide an effective reference for retail market players to participate in the formulation of peak-shaving strategies.
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