Abstract: A method and device for operating a power system, and a rechargeable-battery management device that extracts maximum performance from rechargeable batteries and uses the batteries evenly while taking into consideration cost and the operation of the batteries are provided. According to the method for operating a power system provided with a plurality of rechargeable-battery devices and a plurality of electric generators, the amount of power that a rechargeable battery available during a scheduled time period on a scheduled date will be able to supply is determined, an economic-dispatch calculation including the determined amount of power that the aforementioned rechargeable battery will be able to supply is performed for the power system, and the rechargeable battery is used to supply power during the scheduled time period on the scheduled date.

Abstract: The purpose of the present invention is to provide a method and device for operating a power system, and a rechargeable-battery management device, that extract maximum performance from rechargeable batteries and use said batteries evenly while taking into consideration cost and the operation of the batteries. In order to solve said problem, in this method for operating a power system provided with a plurality of rechargeable-battery devices and a plurality of electric generators, the amount of power that a rechargeable battery available during a scheduled time period on a scheduled date will be able to supply is determined, an economic-dispatch calculation including the determined amount of power that the aforementioned rechargeable battery will be able to supply is performed for the power system, and said rechargeable battery is used to supply power during the scheduled time period on the scheduled date.

Abstract: An electric power trading support system includes a demand prediction unit, a demand prediction error evaluation unit, a demand predicted value upward adjustment ratio (quantity) setting unit, a private power generation/power purchase ratio (quantities) setting unit, an optimization unit for evaluating optimum values of the demand predicted value upward adjustment ratio (quantity) and the self power generation/power purchase ratio (quantities) based on costs, and a display unit for displaying the optimum values evaluated by the optimization unit, maximizing profit to an electric power retailer by minimizing the cost for power generation and power purchase when the electric power retailer sells electric power by use of a private power generator and backup electric power purchased from an electric power company.

Abstract: An electric power trading support system includes a demand prediction unit, a demand prediction error evaluation unit, a demand predicted value upward adjustment ratio (quantity) setting unit, a private power generation/power purchase ratio (quantities) setting unit, an optimization unit for evaluating optimum values of the demand predicted value upward adjustment ratio (quantity) and the self power generation/power purchase ratio (quantities) based on costs, and a display unit for displaying the optimum values evaluated by the optimization unit, maximizing profit to an electric power retailer by minimizing the cost for power generation and power purchase when the electric power retailer sells electric power by use of a private power generator and backup electric power purchased from an electric power company.

Abstract: A method, equipment and a program that present uncertain factors such as the demand variation of electric power, electric power unit price and fuel unit price in stochastic models, provide the analytical means of the correlation between return and risk by which the results can be quantitatively given, have GUI means to do trail and error evaluation of the combinations of various conditions regarding to the interrupt operation plan and electric power trade contract plan and have an amendment means by which the amendment of plans is cooperated with the analytical means of the correlation between return and the risk has been proposed. The system enables to comprehend the correlation between returns and risk that the present operating schedule involves.