电网故障诊断改进解析模型及其自适应生物地理学优化方法

An Improved Analytic Model for Fault Diagnosis of Power Grids and Its Self-Adaptive Biogeography-Based Optimization Method

针对电网故障诊断原有解析模型存在多解的问题,在详细剖析产生多解原因的基础上,根据保护和断路器的动作具有不确定性的特点,综合考虑故障发生时各类保护动作的优先权信息建立了新的改进解析模型。改进解析模型赋予不同保护和断路器不同的贡献因子,使模型更加合理,符合实际需求。此外,还给出了求解改进解析模型的自适应生物地理学优化方法,旨在实现模型的高效求解。算例仿真结果表明:改进解析模型诊断结果唯一,且诊断结果合理;自适应生物地理学优化方法具有全局快速收敛的良好优化性能。

Aiming at the multiple solutions problem within the existing analytic models for fault diagnosis of power grids, this paper analyzes the reason of multiple solutions and proposes an improved analytic model. This model is based on the considerations that the operations of protective relays(PRs) and circuit breakers(CBs) have the characteristic of uncertainty, and different PRs have different operating priorities after an occurrence of a fault. It assigns different contribution factors to various PRs and CBs, making the model more reasonable and fit the practical requirement. Additionally, a method based on self-adaptive biogeography-based optimization(SaBBO) is proposed to effectively solve the model. Simulations reflect that the diagnostic results of the improved model are unique and more reasonable, and SaBBO is characterized by fast global convergence and good performance.