Stochastic Power Grid Planning Using Sensitivity Factors
Inorder to solve the problem of insufficient system flexibility in the conventional power grid planning,this study establishes a stochastic power grid planning model with multiple scenarios,aiming to minimize the sum of line investment costs and operating costs.A security constraint unit commitment formulation is integrated in the model to fully reflect the balance of system flexibility.Meanwhile,considering the large scale and slow calculation of the conventional power grid planning models,the paper also proposes a power grid planning method based on sensitivity factor.It establishes the sensitivity model of variables of the candidate line construction state to the power flow of transmission section,eliminates node phase angle variables in the conventional power grid planning,so as to realize decoupling of the line and interface power flow,as well as greatly improve the computational efficiency of power grid planning.Numerical case studies utilizing IEEE 118 node system and an actual power system show that the excessive pursuit of new energy absorption rate may lead to huge power grid investment costs,and at the same time,in medium and large power systems,the calculation efficiency of grid planning based on sensitivity factor is obvious,thereby verifies the effectiveness of the proposed model and method for the power grid planning.
power grid planningsensitivity factorsecurity constrained unit commitmentstochastic optimization
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维普
