Transient Stability Constrained Optimal Power Flow Model for Power Systems Based on STSGCN and VNBA
To ensure the security and economy of power system operation,the paper proposes the transient stability constrained optimal power flow(TSCOPF)model for power systems based on spatio-temporal synchronous graph convolutional networks(STSGCN)and variable neighborhood bat algorithm(VNBA)for the transient instability problem in the power systems after a fault.Firstly,the associations between system input characteristics and constructed transient stability indexes are built through STSGCN.Then the full feature set based STSGCN is utilized to achieve high-precision transient stability assessment,and the controllable feature set based STSGCN is embedded into the TSCOPF model as the transient stability constraint.Finally,the VNBA is used to solve the TSCOPF model optimally.The example analysis demonstrates that the proposed method can consider both the security and economy of the power systems,and effectively enhances the transient stability of the system in fault scenarios.
万方数据
维普
