基于满意度阈值判定的主动配电网无功优化

发布时间：2018-04-19 11:42

本文选题：主动配电网 + 多目标　；参考：《电网技术》2017年09期

【摘要】：随着大量分布式电源和多样化负荷的接入,配电网的拓扑结构和运行特征已经发生了根本性的变化,传统配电网的无功优化算法和控制策略已不能适应现代配电网的发展。为此,提出一种计及分布式电源随机性和负荷时变性的主动配电网无功优化策略。首先,在详细分析分布式电源出力波动性和负荷时变特性的基础上,通过构建模糊评价函数将有功网损、电压偏移折算成满意度指标,提出主动配电网无功优化的数学模型。并引入理想解法解决多目标优化决策问题。其次,针对传统帝国竞争算法求解无功优化问题的不足,提出两点改进策略,使得算法的收敛精度以及稳定性的得到了极大加强。最后,基于配电网数据采集与监控系统实时评估配电网运行的满意度,当满意度增量大于阈值时,通过主动管理、协调控制确保配电网始终运行在经济、安全的状态,充分体现主动配电网主动管理和主动控制的功能。仿真算例表明,提出的模型和算法以及主动优化的理念符合当前主动配电网主动运行和主动控制的思路,具有较为广泛的应用前景。
[Abstract]:With the access of a large number of distributed power sources and diversified loads, the topology and operation characteristics of the distribution network have undergone fundamental changes. The reactive power optimization algorithm and control strategy of the traditional distribution network can no longer adapt to the development of the modern distribution network.In this paper, a reactive power optimization strategy for active distribution networks is proposed, which takes into account the randomness and time-varying load of distributed power generation.Firstly, based on the detailed analysis of the fluctuation of distributed power generation and the time-varying characteristics of load, a mathematical model of reactive power optimization in active distribution network is proposed by constructing fuzzy evaluation function to convert active power loss and voltage offset into satisfaction index.An ideal solution is introduced to solve the problem of multi-objective optimization.Secondly, aiming at the deficiency of traditional Imperial competitive algorithm in solving reactive power optimization problem, two improved strategies are proposed, which greatly enhance the convergence accuracy and stability of the algorithm.Finally, based on the distribution network data acquisition and monitoring system real-time evaluation of distribution network operation satisfaction, when the increase of satisfaction is greater than the threshold, through active management, coordination control to ensure that the distribution network is always running in an economical and safe state.Fully reflect the active distribution network management and active control function.Simulation examples show that the proposed model, algorithm and the idea of active optimization accord with the ideas of active operation and active control of active distribution network, and have a broad application prospect.
【作者单位】：中国农业大学信息与电气工程学院;
【分类号】：TM714.3

【相似文献】