This work suggested a novel model for obtaining optimum bidding/offering strategy to improve the benefits in case of big users.Aiming this regard,several electrical energy resources including:micro turbines,green powe...This work suggested a novel model for obtaining optimum bidding/offering strategy to improve the benefits in case of big users.Aiming this regard,several electrical energy resources including:micro turbines,green power sources(wind turbine and photovoltaic system),power storage unit such as Hydrogen storage system with fuel cell,as well as mutual treaties are taken into account in offered model.Considering various models for uncertain parameters based on their natures such as power demand,electricity market tariffs,solar irradiation,temperature and wind speed is one of the contributions of the proposed model.Uncertainty of power demand is modeled by robust optimal method whereas remain uncertain parameters are incorporated in model by stochastic method.Considering of wind speed cased is made by Weibull distribution.While,normal distribution is utilized for production of cases for electricity market tariffs,solar irradiation and temperature.In order to reduce the bidding error loss,the storage devices are corporate with green energy in power unbalanced conditions.Combined-integer linear programming method is applied for handling of pricing method profiles that have strength against considered uncertainties on power demand of big user.The obtained results confirm,the entire electrical energy supplement expenditure of big user in absence of demand uncertainty is$39.63 whereas it is augmented up to$49.47 to achieve robustness vs.demand uncertainty.Also,using of hydrogen storage system by considering the reliability index is reduced the bidding price of the system.展开更多
This paper proposes a dynamic advertising model for deteriorating items, and the demand is influenced by goodwill and inventory level. The goodwill affected by advertising effort has a positive effect on demand while ...This paper proposes a dynamic advertising model for deteriorating items, and the demand is influenced by goodwill and inventory level. The goodwill affected by advertising effort has a positive effect on demand while the inventory level has a negative effect on demand, which is named as inverse inventory sensitive demand effect. We assume that the deteriorating rate could be influenced by the inventory level and we determine the deteriorating rate formulation based on this assumption. The optimal advertising effort and inventory level are obtained by solving the optimization problem based on Pontryagin＇s maximum principle. Furthermore, numerical studies are provided and some managerial insights are presented.展开更多
文摘This work suggested a novel model for obtaining optimum bidding/offering strategy to improve the benefits in case of big users.Aiming this regard,several electrical energy resources including:micro turbines,green power sources(wind turbine and photovoltaic system),power storage unit such as Hydrogen storage system with fuel cell,as well as mutual treaties are taken into account in offered model.Considering various models for uncertain parameters based on their natures such as power demand,electricity market tariffs,solar irradiation,temperature and wind speed is one of the contributions of the proposed model.Uncertainty of power demand is modeled by robust optimal method whereas remain uncertain parameters are incorporated in model by stochastic method.Considering of wind speed cased is made by Weibull distribution.While,normal distribution is utilized for production of cases for electricity market tariffs,solar irradiation and temperature.In order to reduce the bidding error loss,the storage devices are corporate with green energy in power unbalanced conditions.Combined-integer linear programming method is applied for handling of pricing method profiles that have strength against considered uncertainties on power demand of big user.The obtained results confirm,the entire electrical energy supplement expenditure of big user in absence of demand uncertainty is$39.63 whereas it is augmented up to$49.47 to achieve robustness vs.demand uncertainty.Also,using of hydrogen storage system by considering the reliability index is reduced the bidding price of the system.
文摘This paper proposes a dynamic advertising model for deteriorating items, and the demand is influenced by goodwill and inventory level. The goodwill affected by advertising effort has a positive effect on demand while the inventory level has a negative effect on demand, which is named as inverse inventory sensitive demand effect. We assume that the deteriorating rate could be influenced by the inventory level and we determine the deteriorating rate formulation based on this assumption. The optimal advertising effort and inventory level are obtained by solving the optimization problem based on Pontryagin＇s maximum principle. Furthermore, numerical studies are provided and some managerial insights are presented.
