首页|基于改进WSO的新能源送端系统多保护下低频减载方法

基于改进WSO的新能源送端系统多保护下低频减载方法

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在我国新能源电网规模及新能源发电并网容量持续扩大背景下,新能源送端系统的功率波动风险增加,这对电网第三道保护防线低频减载提出了更高的要求.针对现有多功能保护下的低频减载执行方案在新能源送端执行合格率较低、稳定性较差以及时效性不足的问题,提出了 一种基于改进WSO的新能源送端系统多保护下低频减载方法.首先,考虑送端系统线路相对于全网负荷曲线趋势的波动性,建立基于面向多保护功能配置的低频减载执行方案指标体系;其次,针对低频减载方案指标体系建立其目标函数,同时考虑系统的静态约束以及暂态约束建立低频减载整定模型;然后,引入白鲨优化算法(WSO)全局动态捕猎特性,对粒子群优化算法(PSO)进行了 Tent混沌映射、动态时间因子和多项式变异的多策略改进;最后,基于修改后的IEEE39节点进行实证分析,利用所提改进的WSO-PSO算法对多保护功能下的低频减载整定模型进行求解,证明了所提方法执行合格率、稳定度以及应用时效性相对于其他方法均更优.
Low-frequency load shedding method for new energy transmission systems with multiple protections based on improved WSO
Against the backdrop of the continuous expansion of the scale of China's new energy grid and the grid connected capacity of new energy generation,the risk of power fluctuation in the new energy transmission system has increased,which puts higher require-ments on the low-frequency load shedding of the third line of protection in the power grid.A low-frequency load shedding method was proposed for new energy transmission systems with multiple protections based on an improved WSO algorithm to address the issues of low qualification rate,poor stability,and insufficient timeliness in existing low-frequency load shedding execution schemes.Firstly,con-sidering the fluctuation of the transmission system line relative to the trend of the entire network load curves,establish an index system based on low-frequency load shedding execution plan.Secondly,establish an objective function for the index system of low-frequency load shedding schemes,while considering the static and transient constraints of the system to establish a low-frequency load shedding setting model.Then,the global dynamic hunting characteristics of the White Shark Optimization(WSO)algorithm were introduced,and the Particle Swarm Optimization(PSO)algorithm was improved with multiple strategies including tent chaotic mapping,dynamic time factor,and polynomial mutation.Finally,based on the modified IEEE39 node,empirical analysis was conducted to solve the low-frequen-cy load shedding setting model using the improved WSO-PSO algorithm proposed in this article.It was proved that the proposed method has better execution qualification rate,stability,and application timeliness compared to other methods.

new energylow frequency load sheddingsetting methodparticle swarm optimization algorithmWhite Shark Algorithm

王海军、吴占贵、宋志龙、李洋、穆小强、孙远

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国网宁夏电力有限公司超高压公司,宁夏银川 750011

国电南瑞科技股份有限公司,江苏南京 211106

新能源 低频减载 整定方法 粒子群算法 白鲨算法

国网宁夏电力有限公司科技项目

5229CG23000B

2024

能源与环保
河南省煤炭科学研究院有限公司 河南省煤炭学会

能源与环保

CSTPCD
影响因子:0.221
ISSN:1003-0506
年,卷(期):2024.46(7)
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