面向可中断负荷的弹性配电网负荷智能优化模型

Intelligent Load Optimization Model of Elastic Distribution Network Oriented with Interruptible Load

针对常规智能优化模型未能考虑开关操作次数对负荷智能优化的影响,出现配电网负荷智能优化结果不理想,平均计算时间较长的问题,为此提出一种面向可中断负荷的弹性配电网负荷智能优化模型。分析可中断负荷的主要特性以及约束条件,将最小停电补偿成本以及开关操作次数作为目标,构建面向可中断负荷的弹性配电网负荷智能优化模型。采用改进的灰狼算法对模型进行求解,获取配电网负荷优化方案。实验结果表明,所提模型可以有效减少平均计算时间,获取更加满意的负荷智能优化方案。

A flexible distribution network load intelligent optimization model for interruptible loads is proposed to address the issue of conven-tional intelligent optimization models failing to consider the impact of switch operation times on load intelligent optimization,result-ing in unsatisfactory results and longer average calculation time.It analyzes the main characteristics and constraints of interruptible loads,with the minimum outage compensation cost and switch operation frequency as objectives,and constructs an intelligent opti-mization model for elastic distribution network loads oriented towards interruptible loads.Using an improved grey wolf algorithm to solve the model and obtain an optimization plan for the distribution network load.The experimental results show that the pro-posed model can effectively reduce the average calculation time and obtain more satisfactory load intelligent optimization solutions.