Access to virtual power plants that aggregate a large number of dispersed demand-side resources provides new possibilities for the efficient development of power systems in the future. The flexible load in the virtual power plant can participate in the demand response and bring this flexibility into the power system planning framework
which can effectively reduce the system planning and operation costs and promote the consumption of renewable energy. Therefore
this paper proposes a multi-type power planning method considering virtual power plant empowerment. Firstly
the adjustable potential model of virtual power plant is established for different types of virtual power plants such as electric vehicles
air conditioning loads and industrial loads. Secondly
considering the operation constraints of virtual power plant for power planning
a power planning model considering virtual power plant empowerment is constructed. Furthermore
considering the uncertain factors such as the prediction error of new energy and the characterization error of the response potential of virtual power plants
the interval optimization method is adopted to deal with it. Then
the interval programming model is definitely transformed by interval order relation and interval possibility degree
and an improved benders decomposition algorithm is proposed to realize the efficient solution of the transformed model. Finally
an example is given to verify the effectiveness of the proposed power planning model and method.
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