基于预想故障信息的矿山电网可靠性评估
Reliability assessment of mine power grid based on expected fault information
于群 1王安东 1古锋 2刘韬2
作者信息
- 1. 山东科技大学 电气与自动化工程学院,山东 青岛 266590
- 2. 兖州能源集团股份有限公司机电管理部,山东 济宁 273500
- 折叠
摘要
随着煤矿安全和生产对电网稳定性依赖程度的不断提高,准确地评估煤矿供电系统的安全水平变得日益重要.一般电网评估策略常利用平均状态水平来表征系统的安全性,其忽略了电网中极端个体元件对于整个系统的影响,因此不能准确地描述煤矿供电系统的安全水平.结合煤矿电网实际运行特点,提出了一种基于预想故障信息的可靠性评估策略.该策略通过分析系统整体与个体的综合评估方法来评判系统的安全等级;与此同时,在权衡效益与安全的前提条件下,提出了可靠性成本与停电损失成本两个经济性指标,并利用最小二乘算法对系统历史数据进行曲线拟合,得到系统经济和安全的特征权重以及用来描述系统安全性与经济性的关系曲线图,从而获取系统的最优运行方式.最后通过实际算例验证了所提评估策略的可行性.
Abstract
As coal mine safety and production become more dependent on grid stability,it is increasingly important to accurately assess the safety level of coal mine power supply systems.General grid evaluation strategies often use the average state level to characterize the safety of the system,which ignores the influence of extreme individual components in the power grid on the entire system,so it cannot accurately describe the safety level of the coal mine power supply system.Combining with the actual operation characteristics of coal mine power grid,a reliability evaluation strategy based on expected fault information is proposed.This strategy evaluates the security level of the system by analyzing the comprehensive evaluation method of the system as a whole and individuals.At the same time,under the premise of weighing benefits and safety,two economic indicators of reliability cost and power outage loss cost are proposed,and the least squares algorithm is used to curve fit the historical data of the system,and the characteristic weight of system economy and safety and the relationship between system safety and economy are obtained,so as to acquire the optimal operation mode of the system.Finally,the feasibility of the proposed evaluation strategy is verified by practical examples.
关键词
矿山电网/预想故障信息/安全经济综合评估/最优运行方式Key words
mine power grid/expected fault information/comprehensive evaluation of safety and economy/optimal operation mode引用本文复制引用
基金项目
山东省自然科学基金项目(ZR2016EEM13)
兖矿能源集团股份有限公司科技项目(1000B2021000029)
出版年
2024
NETL
NSTL
万方数据