基于多目标拟态物理学优化算法的城配网安全性评价方法研究

City Level Power Grid Security Evaluation Method Research Based on Multi-objective Artificial Physics Optimization Algorithm

提出一种城配网安全性综合评价方法。该方法首先采用多目标优化方法构建安全性综合评价模型,模型包含了短路容量比、N-1越限数、重载变压器比例和电压越限率等4个子目标,然后基于不同运行方式的运行数据采用拟态物理学优化算法对指标值进行优化,最后采用组合赋权法量化计算安全性综合评价值和安全排名。以某城配网的实际运行情况作为仿真算例,首先验证了所提算法的计算性能,收敛速度最快约为28步,迭代结果也最小,安全性最好;然后实现了对不同城配网的安全性评价,EZ网安全性最好,AP网安全性最差,对城配网运行具有一定的指导意义。

This paper puts forward a comprehensive security evaluation method of city level power grid. This method firstly uses multi-objective optimization method to construct safety comprehensive evaluation model, which contains 4 sub-goals of short-circuit capacity ratio, the N-1 limited number of voltage, overload transformer ratio and the limited rate of the voltage. Then the paper uses artificial physics optimization algorithm to optimize the parameter values based on the operating data of different modes. Finally, the paper adopts combination weighting approach to quantitatively calculate the safety evaluation values and their rankings. Taking the practical operation of one distribution grid as a simulation example, the paper verified the computing performance of the proposed algorithm with the fastest convergence speed of about 28 steps, the smallest iteration results and the best security, and also gives the safety evaluation of different city distribution grids with the best EZ grid and the worst AP grid, which has certain guiding significance on the operation of the city level power grid.