Extended power flow method and device based on optimization method

Abstract

The invention discloses an extended power flow method and device based on an optimization method, wherein the method includes: establishing a relaxed bus voltage restriction equation according to the restriction formula; establishing a power flow optimization problem with a local voltage controller through the optimization formula; through the constraint equation Establish the optimization model of zero-injection busbar, the optimization model of PV busbar and the optimization model of PQ busbar; solve the optimization model of zero-injection busbar, the optimization model of PV busbar and the optimization model of PQ busbar through the IPM of constant Hessian matrix, in order to Get integer tap positions and perform functional tests under three-phase balanced as well as unbalanced conditions. This method can improve the convergence of the nonlinear sensitivity method under heavy load conditions, and is suitable for detecting and relaxing the unfeasible voltage limit under heavy load conditions, so as to ensure the solvability of power flow.

Description

technical field [0001] The invention relates to the technical field of power system extended power flow, in particular to an extended power flow method and device based on an optimization method. Background technique [0002] A related art sensitivity-based approach to local voltage controllers employs a constant impedance matrix to derive a nonlinear sensitivity matrix of the local voltage controller. Due to the severe nonlinearity of the power flow under heavy load conditions, the sensitivity-based method for local voltage controller distributed network power flow requires more iterations under heavy load conditions. [0003] The nonlinear sensitivity matrix of voltage-controlled distributed generators can also be derived based on loop analysis, which proves that the nonlinear sensitivity method has better convergence than the linear sensitivity method, however, under heavy load conditions, the nonlinear sensitivity method may There is bad convergence, especially after ad...

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Problems solved by technology

[0003] The nonlinear sensitivity matrix of voltage-controlled distributed generators can also be derived based on loop analysis, which proves that the nonlinear sensitivity method has better convergence than the linear sensitivity method, however, under heavy load conditions, the nonlinear sensitivity method may Poor convergence, especially after adjusting the position of the tap changer under heavy load, the bus voltage may still exceed the voltage limit, which needs to be solved urgently

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