Nanogrids are expected to play a significant role in managing the ever-increasing distributed renewable energy sources. If an off-grid nanogrid can supply fullycharged batteries to a battery swapping station(BSS)servi...Nanogrids are expected to play a significant role in managing the ever-increasing distributed renewable energy sources. If an off-grid nanogrid can supply fullycharged batteries to a battery swapping station(BSS)serving regional electric vehicles(EVs), it will help establish a structure for implementing renewable-energyto-vehicle systems. A capacity planning problem is formulated to determine the optimal sizing of photovoltaic(PV) generation and battery-based energy storage system(BESS) in such a nanogrid. The problem is formulated based on the mixed-integer linear programming(MILP)and then solved by a robust optimization approach. Flexible uncertainty sets are employed to adjust the conservativeness of the robust optimization, and Monte Carlo simulations are carried out to compare the performance of the solutions. Case studies demonstrate the merits of the proposed applications and verify the approach.展开更多
风电并网容量的不断增加加剧了电力系统调峰负担,导致电网对调峰辅助服务及系统灵活性需求日益增加。在最大限度消纳风电的前提下,建立了考虑火–储深度调峰容量二次分配的含风电电力系统分层优化调度模型。优化模型包含上、中、下3层,...风电并网容量的不断增加加剧了电力系统调峰负担,导致电网对调峰辅助服务及系统灵活性需求日益增加。在最大限度消纳风电的前提下,建立了考虑火–储深度调峰容量二次分配的含风电电力系统分层优化调度模型。优化模型包含上、中、下3层,上层采用电价响应对用电负荷进行优化,使其跟随风电出力态势以降低电力系统深度调峰容量;中层以风–火–储整体经济性最优为目标,得到优化后的电池储能电站(battery energy storage power station,BESPS)与火电深度调峰机组承担的调峰容量;下层基于优化风电后的深度调峰容量,以统一边际出清价格结算的购电费用最低为目标,对火电深度调峰机组与储能电站的调峰容量进行二次分配,从而确定日前调度最优出清计划。在改进的IEEE30节点中进行仿真验证,结果表明,所提优化方法在提高深度调峰机组调峰积极性的同时能够降低电网调峰资源购买成本。展开更多
为提高风电并网效益,减少弃风,在电网中接入电池储能电站(battery energy storage power station,BESPS)。首先,建立了考虑损耗成本的BESPS调度特性模型,该损耗成本由BESPS投资成本与调度区间内的充放电循环次数估算;然后,在考虑风电可...为提高风电并网效益,减少弃风,在电网中接入电池储能电站(battery energy storage power station,BESPS)。首先,建立了考虑损耗成本的BESPS调度特性模型,该损耗成本由BESPS投资成本与调度区间内的充放电循环次数估算;然后,在考虑风电可信容量的基础上构建了BESPS调度模型。某些情况下,系统很难全额消纳风电,因此,调度模型具有运行成本最小与风电接纳最大2个不同维度的优化目标。为求解此问题,基于隶属度函数将2个子优化目标模糊化,构建了基于最大满意度的单目标优化模型,并采用GAMS软件提供的CPLEX求解器对其进行求解。基于我国东北某实际省级电网的仿真实验说明:BESPS接入可显著提升系统风电接纳能力,且基于最大满意度的优化调度可给出更为合理的结果。展开更多
基金jointly supported by the National Natural Science Foundation of China (No. 51377035)the China-UK NSFC/EPSRC EV project (No. 51361130153)
文摘Nanogrids are expected to play a significant role in managing the ever-increasing distributed renewable energy sources. If an off-grid nanogrid can supply fullycharged batteries to a battery swapping station(BSS)serving regional electric vehicles(EVs), it will help establish a structure for implementing renewable-energyto-vehicle systems. A capacity planning problem is formulated to determine the optimal sizing of photovoltaic(PV) generation and battery-based energy storage system(BESS) in such a nanogrid. The problem is formulated based on the mixed-integer linear programming(MILP)and then solved by a robust optimization approach. Flexible uncertainty sets are employed to adjust the conservativeness of the robust optimization, and Monte Carlo simulations are carried out to compare the performance of the solutions. Case studies demonstrate the merits of the proposed applications and verify the approach.
文摘风电并网容量的不断增加加剧了电力系统调峰负担,导致电网对调峰辅助服务及系统灵活性需求日益增加。在最大限度消纳风电的前提下,建立了考虑火–储深度调峰容量二次分配的含风电电力系统分层优化调度模型。优化模型包含上、中、下3层,上层采用电价响应对用电负荷进行优化,使其跟随风电出力态势以降低电力系统深度调峰容量;中层以风–火–储整体经济性最优为目标,得到优化后的电池储能电站(battery energy storage power station,BESPS)与火电深度调峰机组承担的调峰容量;下层基于优化风电后的深度调峰容量,以统一边际出清价格结算的购电费用最低为目标,对火电深度调峰机组与储能电站的调峰容量进行二次分配,从而确定日前调度最优出清计划。在改进的IEEE30节点中进行仿真验证,结果表明,所提优化方法在提高深度调峰机组调峰积极性的同时能够降低电网调峰资源购买成本。
文摘为提高风电并网效益,减少弃风,在电网中接入电池储能电站(battery energy storage power station,BESPS)。首先,建立了考虑损耗成本的BESPS调度特性模型,该损耗成本由BESPS投资成本与调度区间内的充放电循环次数估算;然后,在考虑风电可信容量的基础上构建了BESPS调度模型。某些情况下,系统很难全额消纳风电,因此,调度模型具有运行成本最小与风电接纳最大2个不同维度的优化目标。为求解此问题,基于隶属度函数将2个子优化目标模糊化,构建了基于最大满意度的单目标优化模型,并采用GAMS软件提供的CPLEX求解器对其进行求解。基于我国东北某实际省级电网的仿真实验说明:BESPS接入可显著提升系统风电接纳能力,且基于最大满意度的优化调度可给出更为合理的结果。
