Fast and effective means to restore the load has a very important theoretical and practical significance after blackout. Power system is a real-time dynamic system, the constraints in current in calculation all are steady-state parameters such as steady-state frequency, steady-state voltage etc. The probable out of step and voltage collapse during the dynamic processes after load restoration cannot be considered. The problem of the load restoration during the resumption of the power system was studied in the paper. Taking into account the great change in the frequency and voltage in the transition process after load restoration, qualified steady power flow does not mean that the transient voltage and frequency which are acceptable. In view of this uncertain in this dynamic phase, The problem of load restoration was modeled as a optimal control problem with dynamic frequency, voltage and power angle constraints of large disturbance dynamic process and a adaptive genetic algorithm was introduced to solve the problem, which maximizes the total amount of load recovery and enables the power system to meet the constraints of dynamic stability. Finally, the feasibility and effectiveness of the model and algorithm were confirmed by the simulation results.

Control strategies of load considering dynamic processes after blackout

In view of the current situation that the distribution network in China must be reconstructed from many perspectives in a limited number of investments, an adaptive genetic algorithm based optimization method is proposed to identity the reconstruction scheme in distribution network. In accordance with the vulnerable spots of the present network, several reconstruction projects and their relations are put forward while suitable encoding scheme and special genetic operators such as crossover and mutation are designed. Adaptive genetic algorithm is used to permute all the projects under the restriction of maximum investment and the combination with best comprehensive evaluation index is selected as the optimization result. The final example shows that the approach proposed can obtain satisfied result with various defects in and limited investment for the current distribution network.

Reconstruction Scheme Optimization of Distribution Network Based on Adaptive Genetic Algorithm

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Reconstruction Scheme Optimization of Distribution Network Based on Adaptive Genetic Algorithm