A Second-Order Cone Planning Method for Load Restoration in Power Outage Power Network Considering Uncertain Restoration Quantity

Abstract

The invention discloses a second-order cone programming method for power-off grid load recovery with consideration of recovery quantity uncertainty. On the basis of improvement of a load recovery robustness optimization model with consideration of uncertainty, a robust model with a mixed integer second-order cone mode is established and solving is carried out to obtain a load recovery robust plan. The method comprises: 1, establishing a power-off grid load recovery certainty model; 2, on the basis of an information gap decision-making theory, establishing a robustness optimization model with consideration of load recovery uncertainty; 3, with a second-order cone relaxation method, carrying out convex optimization relaxation processing on a non-linear power flow equation in the optimization model; 4, carrying out linear processing on the rest of nonlinear constraints; and 5, on the basis of a direct-current power flow model, invoking CPLEX at two stages to solve the optimization model, thereby obtaining a load recovery plane. With the method disclosed by the invention, a load recovery plan can be obtained rapidly and accurately; load fluctuation within a certain range can be carried; and security of the grid recovery process can be guaranteed. The method has the certain theoretical value and engineering value.

Description

technical field [0001] The invention belongs to the technical field of power grids, in particular to a second-order cone planning method for power grid load restoration in consideration of uncertain restoration quantities. Background technique [0002] Load restoration is an important task in the restoration process of power grid after power failure. It is not only the purpose of power grid restoration but also an important means to ensure the stability of the restoration process. Scholars at home and abroad have carried out a lot of research work on load restoration optimization. However, in most studies, the amount of load restoration is assumed to be a definite value, that is, the estimated restored load is equal to the actual restored load. However, in the actual power grid restoration, the uncertainty of the load is inevitable. Uncertain load recovery schemes considering load may affect the safety of the recovery process when implemented. For this reason, it is necessa...

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Problems solved by technology

[0003] Aiming at the uncertainty of load restoration, some scholars propose based on fuzzy model processing. However, the selection of fuzzy parameters has a great influence on the load restoration scheme, and it is difficult to obtain accurate fuzzy parameters.

In addition to fuzzy models, probabilistic models are also commonly used in power systems to deal with uncertainty problems. However, the uncertainty of loads lacks certain rules, and the measured data is very scarce, and accurate probability density functions are difficult to obtain.

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