考虑异步通信的配电-气网分布式有功-无功协同优化

Distributed Active-Reactive Power Coordinated Optimization for Electricity-Gas Distribution Network Considering Asynchronous Communication

配电-气网(EGDN)中新能源大量并网和燃气运输过程中管网压力变化均可能导致配电网的电压波动增大。文中提出一种考虑异步通信的EGDN有功-无功协同优化方法。首先,研究EGDN中各元件的有功-无功特性;其次,根据EGDN能量运输过程中无功需求特性,建立EGDN无功供需模型;然后,考虑EGDN无功平衡和网络运行约束,以最小化电网电压波动、网损和EGDN购电/气成本为目标,建立EGDN无功电压优化控制模型;最后,为保障EGDN中各能源主体信息的安全性与私密性,考虑配电网与配气网信息采集传输情况存在差异,可能存在通信延迟和信息丢包情况,采用异步交替方向乘子法对模型进行求解。通过对改进的IEEE 33节点系统和7节点配气网构成的EGDN系统进行仿真,结果表明,所提方法可有效缓解EGDN电压波动问题,减小网损并降低系统总运行成本。

A large number of renewable energy are connected to the electricity-gas distribution network(EGDN)and the pressure changes of the pipeline network during gas transportation may increase the voltage fluctuation of the distribution network.In this paper,a distributed active-reactive power coordinated optimization control method for EGDN considering asynchronous communication is proposed.Firstly,the active-reactive power characteristics of each component in the EGDN are studied.Secondly,according to the characteristics of reactive power demand in the process of EGDN energy transportation,the supply and demand model of reactive power in the EGDN is established.Then,considering the EGDN reactive power balance and network operation constraints,the reactive power and voltage optimization control model for EGDN is established to minimize the power grid voltage fluctuation,network loss and electricity/gas purchasing cost of EDGN.Considering the difference in information collection and transmission between the distribution network and the gas distribution network,there may be communication delay and information packet loss.In order to ensure the security and privacy of the information of each energy entity in the EGDN,the asynchronous alternating direction method of multipliers is used to solve the model.The simulation of EGDN system composed of improved IEEE 33-node system and 7-node gas distribution network show that the proposed model can effectively alleviate EGDN voltage fluctuation,reduce network loss and reduce the total operation cost of the system.