非理想通信环境下主动配电网多源协同调控策略  被引量:2

Multi-source Coordinated Control Strategy for Active Distribution Network in Non-ideal Communication Environment

在线阅读下载全文

作  者:田美君 刘沈全 汪隆君[1] 王钢[1] 曾德辉 TIAN Meijun;LIU Shenquan;WANG Longjun;WANG Gang;ZENG Dehui(School of Electric Power Engineering,South China University of Technology,Guangzhou 510640,China;Guangzhou Jiayuan Electric Power Technology Co.,Ltd,Guangzhou 510610,China)

机构地区:[1]华南理工大学电力学院,广州510640 [2]广州嘉缘电力科技有限公司,广州510610

出  处:《电力系统及其自动化学报》2022年第11期42-51,共10页Proceedings of the CSU-EPSA

摘  要:为保证非理想通信环境下主动配电网的安全经济运行,应用多智能体系统一致性协同理论,提出了基于一致性变量信息交互的具有自主控制能力和高拓展性与可靠性的多源分布式协同调控策略。该策略为改善非理想通信环境下一致性算法收敛性能,引入调整增益函数,利用熵权法调整状态转移矩阵;为精准跟踪配电网联络线功率指令值,在联络线功率补偿控制信号中引入了积分控制项;针对分布式电源节点通信故障的情况,提出了结合集中式通信的变结构通信策略。最后,通过算例仿真验证了该策略的有效性。To ensure the safe and economic operation of active distribution network in a non-ideal communication environment,a multi-source coordinated control strategy is proposed using the theory of multi-agent system coordination,which is based on the information exchange of consensus variables and has an automatic control capability,a high flexibility and a high reliability.To improve the convergence performance of the consensus algorithm in the non-ideal communication environment,a gain adjustment function is added,and the entropy weight method is used to adjust the state transition matrix.PI control is introduced into the control signal of tie-line power to guarantee the accuracy of tracking the control signal of tie line power given by the distribution network control center.In addition,to deal with the communication failures of distributed generators,a flexible structure communication strategy combined with centralized communication is proposed.Finally,the simulation result of an example verifies the effectiveness of the proposed strategy.

关 键 词:主动配电网 非理想通信环境 多源协同 一致性算法 

分 类 号:TM732[电气工程—电力系统及自动化]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象