This paper develops a stochastic framework for the energy management of a microgrid to minimize the energy cost from the grid.It considers the uncertainties in solar photovoltaic(PV)generation,load demand,and electric...This paper develops a stochastic framework for the energy management of a microgrid to minimize the energy cost from the grid.It considers the uncertainties in solar photovoltaic(PV)generation,load demand,and electricity price.Furthermore,the opportunity of flexible load demand,i.e.,the effect of demand response(DR),on the test system is studied.The uncertainties are modeled by using Monte Carlo simulations and the generated scenarios are reduced to improve the computational tractability.In general,microgrid scheduling is implemented by using substation(source node)price as a reference,but that reference price is not the same at all nodes.Therefore,this paper develops the nodal price based energy management in a microgrid to improve the scheduling accuracy.The stochastic energy management framework is formulated as a mixed integer non-linear programming(MINLP).Four case studies are simulated for a modified 15-node radial distribution network integrated with solar PV and battery energy storage system(BESS)to validate the effectiveness of the energy management framework for a microgrid with nodal pricing.展开更多
提出一种无线体域网(WBAN,wireless body area network)的网络拓扑结构设计方案。该方案针对IEEE802.15.6标准的2跳扩展星型拓扑结构,建立基于混合整数非线性规划的能耗成本优化模型,通过调整中继节点的位置和数量,以及数据到汇聚节点...提出一种无线体域网(WBAN,wireless body area network)的网络拓扑结构设计方案。该方案针对IEEE802.15.6标准的2跳扩展星型拓扑结构,建立基于混合整数非线性规划的能耗成本优化模型,通过调整中继节点的位置和数量,以及数据到汇聚节点的路由,获得优化的网络拓扑结构。实验结果分析表明,与Elias提出的EAWD(energy aware WBAN design)模型相比,所提出的方案能使网络能耗减少40.5%,网络时延平均降低52.4%,网络寿命提高了一倍。展开更多
基金supported by the Science and Engineering Research Board(SERB)a statutory body of Department of Science and Technology(DST)Government of India(Go I)(No.EMR/2016/002037).
文摘This paper develops a stochastic framework for the energy management of a microgrid to minimize the energy cost from the grid.It considers the uncertainties in solar photovoltaic(PV)generation,load demand,and electricity price.Furthermore,the opportunity of flexible load demand,i.e.,the effect of demand response(DR),on the test system is studied.The uncertainties are modeled by using Monte Carlo simulations and the generated scenarios are reduced to improve the computational tractability.In general,microgrid scheduling is implemented by using substation(source node)price as a reference,but that reference price is not the same at all nodes.Therefore,this paper develops the nodal price based energy management in a microgrid to improve the scheduling accuracy.The stochastic energy management framework is formulated as a mixed integer non-linear programming(MINLP).Four case studies are simulated for a modified 15-node radial distribution network integrated with solar PV and battery energy storage system(BESS)to validate the effectiveness of the energy management framework for a microgrid with nodal pricing.
文摘提出一种无线体域网(WBAN,wireless body area network)的网络拓扑结构设计方案。该方案针对IEEE802.15.6标准的2跳扩展星型拓扑结构,建立基于混合整数非线性规划的能耗成本优化模型,通过调整中继节点的位置和数量,以及数据到汇聚节点的路由,获得优化的网络拓扑结构。实验结果分析表明,与Elias提出的EAWD(energy aware WBAN design)模型相比,所提出的方案能使网络能耗减少40.5%,网络时延平均降低52.4%,网络寿命提高了一倍。
