混合能源系统对电力线路线损的影响评估与优化  

Assessment and Optimization of the Impact of Hybrid Energy Systems on Power Line Losses

作　　者：赵新宇 ZHAO Xinyu

机构地区：[1]国网顺平县供电公司,河北保定072250

出　　处：《今日自动化》2024年第8期106-108,共3页Automation Today

摘　　要：混合能源接入配电网系统时存在一定的不稳定性,文章通过应用粒子群优化算法和基于模拟退火的改进粒子群优化算法来优化混合能源系统接入配电网后的线损,展示了这两种算法在减少线损方面的有效性。试验结果表明,在同样场景下,两者均能够有效降低线损,但基于模拟退火的改进粒子群优化算法不仅在优化线损上性能提高7.2%,而且在局部和全局搜索能力上优于传统的粒子群优化算法,具有更快的收敛速度和更强的适应性。同时证明,合理规划混合能源接入能够有效降低有功损耗,为电力系统正常稳定运行提供有力保障。There is a certain degree of instability in the integration of hybrid energy into the distribution network system.This article applies particle swarm optimization algorithm and an improved particle swarm optimization algorithm based on simulated annealing to optimize the line loss of the hybrid energy system after integration into the distribution network,demonstrating the effectiveness of these two algorithms in reducing line loss.The experimental results show that both can effectively reduce line loss in the same scenario,but the improved particle swarm optimization algorithm based on simulated annealing not only improves the performance of optimizing line loss by 7.2%,but also outperforms traditional particle swarm optimization algorithms in local and global search capabilities,with faster convergence speed and stronger adaptability.At the same time,it proves that reasonable planning of mixed energy access can effectively reduce active power losses and provide strong guarantees for the normal and stable operation of the power system.

关 键 词：混合能源 电力系统 线损优化 粒子群优化算法 

分 类 号：TM714.3[电气工程—电力系统及自动化]