Virtual power plant(VPP)can provide complementary power through signing bilateral contracts

and hence improve the flexibility and economic efficiency of partners. Based on the concept of the technical virtual power plant

an optimal scheduling model of VPP with line switching reconfiguration of distribution network is built by considering operation constraints of VPP and security constraints of distribution network

while an optimal pricing strategy for contract price is built by considering electricity transactions among multiple VPPs. To avoid computational complexity

the second-order cone programming is used to transform the non-convex and nonlinear problem into a typical mixed integer second-order cone model

which can greatly improve the computational efficiency. The concept of cooperation satisfaction is introduced to produce an optimal contract price

in which both sides are satisfied with enhanced cooperation. Test results indicate that the multiple VPP coordinated scheduling can effectively reduce the return risk caused by the fluctuation of renewable energy source output. Meanwhile

the introduction of satisfaction concept provides an optimal contract price that both parties are willing to sign. In addition

the proposed second-order cone model greatly improves the computational efficiency.