In view of the reactive power coordination difficulties caused by reactive power strong coupling,the provincial power grids in the interconnected system are formed by the multi-AC/DC transmission.Wind power channels a...In view of the reactive power coordination difficulties caused by reactive power strong coupling,the provincial power grids in the interconnected system are formed by the multi-AC/DC transmission.Wind power channels are under the conditions of large-scale long-distance transmission of wind power and other forms of renewable power generation.The AC-DC hybrid power flow equation of the interconnected system,including the AC-DC tie lines,is presented in this paper,along with the robust dynamic evolutionary optimization of the reactive power system in interconnected systems under fluctuating and uncertain wind power conditions.Therefore,the rapid collaborative optimization of reactive power flow and the exchange of reactive power between tie lines between provincial power grids are realized.The analysis was made by taking four interconnected large-scale provincial power grids of Eastern Mongolia,Jilin,Liaoning and Shandong as an example.The simulation results demonstrate the effectiveness and superiority of the proposed reactive power dynamic multi-objective optimization method for interconnected power grids.展开更多
As high amounts of new energy and electric vehicle(EV)charging stations are connected to the distribution network,the voltage deviations are likely to occur,which will further affect the power quality.It is challengin...As high amounts of new energy and electric vehicle(EV)charging stations are connected to the distribution network,the voltage deviations are likely to occur,which will further affect the power quality.It is challenging to manage high quality voltage control of a distribution network only relying on the traditional reactive power control mode.If the reactive power regulation potentials of new energy and EVs can be tapped,it will greatly reduce the reactive power optimization pressure on the network.Keeping this in mind,our reasearch first adds EVs to the traditional distribution network model with new forms of energy,and then a multi-objective optimization model,with achieving the lowest line loss,voltage deviation,and the highest static voltage stability margin as its objectives,is constructed.Meanwihile,the corresponding model parameters are set under different climate and equipment conditions.Ultimately,the optimization model under specific scenarios is obtained.Furthermore,considering the supply and demand relation-ship of the network,an improved technique for order preference by similarity to an ideal solution decision method is proposed,which aims to judge the adaptability of different algorithms to the optimized model,so as to select a most suitable algorithm for the problem.Finally,a comparison is made between the constructed model and a model without new energy.The results reveal that the constructed model can provide a high quality reactive power regula-tion strategy.展开更多
针对高比例分布式光伏接入配网所引起的电压控制问题,利用柔性负荷的无功调节能力,并考虑光伏和负荷的不确定性,提出了配网日前两阶段无功随机优化调度方法。首先,在第1阶段根据光伏和负荷的预测值,优化反映电容器组动作和柔性负荷无功...针对高比例分布式光伏接入配网所引起的电压控制问题,利用柔性负荷的无功调节能力,并考虑光伏和负荷的不确定性,提出了配网日前两阶段无功随机优化调度方法。首先,在第1阶段根据光伏和负荷的预测值,优化反映电容器组动作和柔性负荷无功调度的离散决策变量。其次,在第2阶段考虑光伏和负荷的不确定性,优化光伏的无功出力和柔性负荷的无功调度量。在优化模型中,设置了电压偏差最小化和柔性负荷的无功调度次数最小化两种目标函数,采用ε约束法对多目标优化问题进行求解,并利用熵权优劣解距离(technique for order preference by similarity to ideal solution,TOPSIS)法选择最优折衷解。在修改的IEEE33节点系统进行仿真,结果表明所提方法能有效缓解由高比例分布式光伏并网所引起的电压越限问题。展开更多
基金This work was supported by the National Key Research and Development Program of China under Grant No.2017YFB0902100.
文摘In view of the reactive power coordination difficulties caused by reactive power strong coupling,the provincial power grids in the interconnected system are formed by the multi-AC/DC transmission.Wind power channels are under the conditions of large-scale long-distance transmission of wind power and other forms of renewable power generation.The AC-DC hybrid power flow equation of the interconnected system,including the AC-DC tie lines,is presented in this paper,along with the robust dynamic evolutionary optimization of the reactive power system in interconnected systems under fluctuating and uncertain wind power conditions.Therefore,the rapid collaborative optimization of reactive power flow and the exchange of reactive power between tie lines between provincial power grids are realized.The analysis was made by taking four interconnected large-scale provincial power grids of Eastern Mongolia,Jilin,Liaoning and Shandong as an example.The simulation results demonstrate the effectiveness and superiority of the proposed reactive power dynamic multi-objective optimization method for interconnected power grids.
基金supported by National Key R&D Program of China (2021ZD0111502)National Natural Science Foundation of China (51907112,U2066212)+1 种基金Natural Science Foundation of Guangdong Province of China (2019A1515011671,2021A1515011709)Scientific Research Staring Foundation of Shantou University (NTF19028,NTF20009).
文摘As high amounts of new energy and electric vehicle(EV)charging stations are connected to the distribution network,the voltage deviations are likely to occur,which will further affect the power quality.It is challenging to manage high quality voltage control of a distribution network only relying on the traditional reactive power control mode.If the reactive power regulation potentials of new energy and EVs can be tapped,it will greatly reduce the reactive power optimization pressure on the network.Keeping this in mind,our reasearch first adds EVs to the traditional distribution network model with new forms of energy,and then a multi-objective optimization model,with achieving the lowest line loss,voltage deviation,and the highest static voltage stability margin as its objectives,is constructed.Meanwihile,the corresponding model parameters are set under different climate and equipment conditions.Ultimately,the optimization model under specific scenarios is obtained.Furthermore,considering the supply and demand relation-ship of the network,an improved technique for order preference by similarity to an ideal solution decision method is proposed,which aims to judge the adaptability of different algorithms to the optimized model,so as to select a most suitable algorithm for the problem.Finally,a comparison is made between the constructed model and a model without new energy.The results reveal that the constructed model can provide a high quality reactive power regula-tion strategy.
文摘针对高比例分布式光伏接入配网所引起的电压控制问题,利用柔性负荷的无功调节能力,并考虑光伏和负荷的不确定性,提出了配网日前两阶段无功随机优化调度方法。首先,在第1阶段根据光伏和负荷的预测值,优化反映电容器组动作和柔性负荷无功调度的离散决策变量。其次,在第2阶段考虑光伏和负荷的不确定性,优化光伏的无功出力和柔性负荷的无功调度量。在优化模型中,设置了电压偏差最小化和柔性负荷的无功调度次数最小化两种目标函数,采用ε约束法对多目标优化问题进行求解,并利用熵权优劣解距离(technique for order preference by similarity to ideal solution,TOPSIS)法选择最优折衷解。在修改的IEEE33节点系统进行仿真,结果表明所提方法能有效缓解由高比例分布式光伏并网所引起的电压越限问题。
