IBBO based complex looped network directional protection MBPS solving method

Abstract

The invention discloses an IBBO based complex looped network directional protection MBPS solving method, which is characterized in that the effectiveness of a determined breakpoint is judged by adopting a protection association matrix, and a lot of calculation required by forming all simple directed circuits of the whole network is avoided; an improved biogeography optimization algorithm is proposed, an a transfer model, a transfer operator and a mutation operator of the traditional BBO algorithm are improved; and the breakpoint is solved by using an IBBO method, and efficient solving for a minimum breakpoint optimization model is achieved. The MBPS can be effectively solved for an ultrahigh-voltage power grid containing multiple looped networks according to the invention. Compared with the traditional optimization method, the method disclosed by the invention is high in convergence speed, good in iteration robustness and high in convergence precision, and has excellent optimization performance.

Description

Technical field [0001] The invention relates to the field of power grid optimization, and more specifically, to an IBBO-based method for obtaining MBPS of complex ring network direction protection. Background technique [0002] Determine a group of protection sets that can break the directional loops of the entire network, called the breakpoint set, start with this group of protections for setting, and then proceed with the setting of other protections in sequence, which is a complex ring network direction protection The prerequisite for the smooth progress of the tuning calculation. [0003] Since the protection selected as a breakpoint may not be able to cooperate with its main protection, the location and number of breakpoints have an important impact on the overall performance of the entire network protection. Therefore, after the concept of breakpoint set was put forward, scholars at home and abroad have carried out extensive research work in MBPS solving, the main purpose of...

AI Technical Summary

Problems solved by technology

However, the existing methods for solving MPBS based on artificial intelligence algorithms still need to form a simple loop of the entire network for constraint processing in the optimization process, and the existing genetic algorithm (Genetic Algorithm, GA) and particle swarm algorithm (Particle The performance of optimization algorithms such as SwarmOptimization (PSO) has gradually been unable to meet the solution needs of MBPS for large-scale and complex interconnected grids.

Images