To achieve the goal of carbon neutrality,renewable energy integration through a voltage source converter based multi-terminal direct current(VSC-MTDC)system has been identified as a promising solution.To tackle the si...To achieve the goal of carbon neutrality,renewable energy integration through a voltage source converter based multi-terminal direct current(VSC-MTDC)system has been identified as a promising solution.To tackle the significant DC voltage over-limit problem in a VSC-MTDC system during disturbances,this paper proposes a mode-switching strategy of droop control considering maximum DC voltage regulation capability.The close relationship between node injection powers and node DC voltages in the MTDC system is elaborated,and the most effective regulation approach of local injection power for limiting DC voltage deviation is presented.The operating point trajectories of different droop control explains that the DC voltage deviation can be minimized by fully utilizing the capacity of converters.Therefore,the mode-switching strategy with the maximum DC voltage regulation capability is realized by the switching between the voltage droop control and the constant maximum power control.In addition,a mode recovery process and a smooth switching method are developed to make converters regain the capability of maintaining DC voltage and reduce power fluctuation during mode switching,respectively.Furthermore,three cases are investigated to verify the effectiveness of the proposed mode-switching strategy.Compared with simulation results of the conventional droop control and the DC voltage deviation-dependent droop control,better performance of transient and steady-state DC voltage deviation is achieved through the proposed strategy.展开更多
针对主动配电网(active distribution network,ADN)发生多故障时的快速恢复供电问题,在ADN分层控制技术以及"主动性"资源基础上,建立基于多代理系统(multi-agent system,MAS)的ADN多故障分区、分场景动态修复模型。当ADN发生...针对主动配电网(active distribution network,ADN)发生多故障时的快速恢复供电问题,在ADN分层控制技术以及"主动性"资源基础上,建立基于多代理系统(multi-agent system,MAS)的ADN多故障分区、分场景动态修复模型。当ADN发生多故障时,首先对非故障失电区域进行区域划分,利用子区域内DG(distributed generator)、光伏、储能系统以及主动负荷优先恢复重要负荷供电,并根据各区域内最大供电能力指标、最大主动调节能力指标和最大恢复能力指标选择各时段的恢复策略。在此基础上,基于MAS的自治性、协同性和并行计算能力,通过定义场景等级权重系数,以综合经济损失最少为目标,并采用离散化处理的细菌群体趋药性(discrete chemotaxis of bacterial population,DBCC)算法优化得到整个故障周期的最优修复策略。同时,考虑到故障修复过程中突发新故障的情况,通过多代理系统动态更新策略,尽快完成故障修复工作。以IEEE 69节点配电系统为例,验证了所提策略的可行性和有效性。展开更多
基金supported in part by the National Natural Science Foundation of China under Grant 52377119 and U22B20109.
文摘To achieve the goal of carbon neutrality,renewable energy integration through a voltage source converter based multi-terminal direct current(VSC-MTDC)system has been identified as a promising solution.To tackle the significant DC voltage over-limit problem in a VSC-MTDC system during disturbances,this paper proposes a mode-switching strategy of droop control considering maximum DC voltage regulation capability.The close relationship between node injection powers and node DC voltages in the MTDC system is elaborated,and the most effective regulation approach of local injection power for limiting DC voltage deviation is presented.The operating point trajectories of different droop control explains that the DC voltage deviation can be minimized by fully utilizing the capacity of converters.Therefore,the mode-switching strategy with the maximum DC voltage regulation capability is realized by the switching between the voltage droop control and the constant maximum power control.In addition,a mode recovery process and a smooth switching method are developed to make converters regain the capability of maintaining DC voltage and reduce power fluctuation during mode switching,respectively.Furthermore,three cases are investigated to verify the effectiveness of the proposed mode-switching strategy.Compared with simulation results of the conventional droop control and the DC voltage deviation-dependent droop control,better performance of transient and steady-state DC voltage deviation is achieved through the proposed strategy.
文摘针对主动配电网(active distribution network,ADN)发生多故障时的快速恢复供电问题,在ADN分层控制技术以及"主动性"资源基础上,建立基于多代理系统(multi-agent system,MAS)的ADN多故障分区、分场景动态修复模型。当ADN发生多故障时,首先对非故障失电区域进行区域划分,利用子区域内DG(distributed generator)、光伏、储能系统以及主动负荷优先恢复重要负荷供电,并根据各区域内最大供电能力指标、最大主动调节能力指标和最大恢复能力指标选择各时段的恢复策略。在此基础上,基于MAS的自治性、协同性和并行计算能力,通过定义场景等级权重系数,以综合经济损失最少为目标,并采用离散化处理的细菌群体趋药性(discrete chemotaxis of bacterial population,DBCC)算法优化得到整个故障周期的最优修复策略。同时,考虑到故障修复过程中突发新故障的情况,通过多代理系统动态更新策略,尽快完成故障修复工作。以IEEE 69节点配电系统为例,验证了所提策略的可行性和有效性。
