Abstract: Example implementations described herein are directed to managing the operation of a plurality of electric vehicles (EVs) for transportation service, power system operating reserve service and operation planning, which is utilized to determine whether to use each EV for transportation travel or power system operating reserve supply for a given time period and location. Such management allows for the increase of the total operation value by transportation travel and power system operation reserve supply.

Abstract: Example implementations described herein involve a hybrid spatial-temporal event probability prediction method and system configured to predict spatial-temporal event probability that can be utilized for short term planning. For systems such as utility systems that manage multiple locations over time, the example implementations utilize both a spatial model and a temporal model to create a hybrid spatial-temporal model that accounts for data taken over time as well as data across the locations to more accurately forecast the probability of an event occurrence over a period of time.

Abstract: The present invention is applied to a distributed control system in which a plurality of control devices (a central control device, an individual control device, and the like) are connected via a network. For example, the central control device executes a start-up deadline determination processing for setting a start-up deadline in consideration of the performance of a device to be controlled, and communication processing for transmitting a packet including identification information of a command and information of the start-up deadline to the individual control device. For example, when receiving the packet transmitted from the central control device, the individual control device controls execution of the command on the device to be controlled on the basis of the start-up deadline included in the packet.

Abstract: Example implementations described herein involve a hybrid spatial-temporal event probability prediction method and system configured to predict spatial-temporal event probability that can be utilized for short term planning. For systems such as utility systems that manage multiple locations over time, the example implementations utilize both a spatial model and a temporal model to create a hybrid spatial-temporal model that accounts for data taken over time as well as data across the locations to more accurately forecast the probability of an event occurrence over a period of time.

Abstract: Example implementations described herein are directed to managing the operation of a plurality of electric vehicles (EVs) for transportation service, power system operating reserve service and operation planning, which is utilized to determine whether to use each EV for transportation travel or power system operating reserve supply for a given time period and location. Such management allows for the increase of the total operation value by transportation travel and power system operation reserve supply.

Abstract: A battery control apparatus includes a reduced electricity cost analysis unit that obtains a discharge electric power cost at a discharge time and a charge electric power cost at a charge time of a battery, based on a basic cost and a unit cost of an electricity bill, and obtains a reduced electricity cost in which the charge electric power cost is subtracted from the discharge electric power cost for every discharge depth of the battery; an introduction cost analysis unit that calculates an introduction cost of the battery for every discharge depth of the battery; and a charge and discharge depth optimization unit that obtains a difference of the reduced electricity cost and the introduction cost for every discharge depth of the battery, and determines a charge and discharge depth of the battery based on the difference. The discharge of the battery is performed at the determined charge and discharge depth.

Abstract: The present invention is applied to a distributed control system in which a plurality of control devices (a central control device, an individual control device, and the like) are connected via a network. For example, the central control device executes a start-up deadline determination processing for setting a start-up deadline in consideration of the performance of a device to be controlled, and communication processing for transmitting a packet including identification information of a command and information of the start-up deadline to the individual control device. For example, when receiving the packet transmitted from the central control device, the individual control device controls execution of the command on the device to be controlled on the basis of the start-up deadline included in the packet.

Abstract: Energy demand in an entire community including multiple demanders is properly predicted and energy consumption thereof is properly controlled. Every day, some demanders are selected from the community and a request to adjust energy consumption for the following day is sent to the selected demanders. To decide a content of the request, energy demand for the following day is predicted. In this case, demanders which did not receive a request on past days are specified, and demand in the community for the following day is predicted based on the actual energy consumption by those demanders on the past days.

Abstract: A power demand regulation system has a power demand regulation device that regulates the load applied to equipment of an electrical power system by a load apparatus operating by means of power from the electrical power system, which supplies power to consumers. When regulating the load to the equipment, the power demand regulation device selects a load apparatus as the subject of a request for an alteration of operating state on the basis of by-apparatus load information, which is information of each load apparatus, and a regulation target value, which is the amount of load that is to be regulated, and, in the period from the start to the end of regulation, executes a plurality of times the outputting of an alteration request that requests the alteration of the operating state of the selected load apparatus.

Abstract: A distributed controller collects measurement value data of a voltage and a current in an own node and in another node; using the measurement voltage and the current of the own node and the measurement voltage and current of another node as input data, estimates a voltage or a current as a state quantity of the electric power system regarding another node from which the measurement value data cannot be collected, and outputs the estimate values; using the measurement data, the estimate value outputted from the state estimation functional unit and a voltage target value that has been set for each node, outputs the control commands for voltage controllers based on voltage change amounts to be distributed to the voltage control devices of the nodes including the own node. The voltages in the electric power system are controlled by superposition of voltage change amounts by the voltage control devices.

Abstract: To control a power state of a power system properly according to a communication state. A system for controlling a power system includes a plurality of sensor devices configured to output measurement data; a first control apparatus configured to estimate a first power state of the power system by using the measurement data obtained by the plurality of sensor devices, calculate a first controlled variable according to the estimated first power state, and output the calculated first controlled variable; and at least a second control apparatus configured to execute a predetermined control operation according to either the first controlled variable calculated in the first control apparatus, or a second controlled apparatus calculated in the second control apparatus. When it is not able to obtain part of the measurement data, the first control apparatus estimates the first power state by using predetermined measurement data among the obtained measurement data.

Abstract: The priority of a demand regulating control for a device is changed in accordance with a simple operation by a consumer. A demand regulating system has an operation unit that selects from among a plurality of consumption devices, on the basis of priority information and a regulating quantity, a plurality of control-target devices, which are targeted for demand regulating control reducing consumption of the resource. A control unit executes the demand regulating control on the basis of a control instruction; and an input unit receives a first operation by the consumer, and transmits first request information requesting a change in the priorities of the plurality of control-target devices, to the operation unit in accordance with the first operation. The operation unit, upon receiving the first request information, specifies the plurality of control-target devices, and changes the priorities of the plurality of control-target devices in the priority information.

Abstract: There is provided an electricity demand regulating system which estimates a load amount of an individual equipment whose measurement information can not be acquired and improves estimation accuracy of an electricity demand amount in a power system. The electricity demand regulating system for managing electric energy used by a consumer according to an operation state of the power system includes a storage part to store measurement information of a consumer equipment, and a generation part to generate a load pattern indicating a load amount tendency from the measurement information of the equipment stored in the storage part. A load amount of an equipment whose measurement information is not stored in the storage part is estimated from the load pattern generated by the generation part, and an electricity demand amount of the consumer is obtained based on the measurement information and the estimated load amount.

Abstract: A battery control apparatus includes a reduced electricity cost analysis unit that obtains a discharge electric power cost at a discharge time and a charge electric power cost at a charge time of a battery, based on a basic cost and a unit cost of an electricity bill, and obtains a reduced electricity cost in which the charge electric power cost is subtracted from the discharge electric power cost for every discharge depth of the battery; an introduction cost analysis unit that calculates an introduction cost of the battery for every discharge depth of the battery; and a charge and discharge depth optimization unit that obtains a difference of the reduced electricity cost and the introduction cost for every discharge depth of the battery, and determines a charge and discharge depth of the battery based. on the difference. The discharge of the battery is performed at the determined charge and discharge depth.

Abstract: A load leveling system and a method for a power system are capable of attaining load leveling in a distribution substation unit. The load leveling system is for a power system with a controller having a major customer and lower transforming apparatus, and with a customer connected to the lower transforming apparatus via a low-voltage line. The system also has a communication unit between the customer and its own system, and control use time zones of devices within the customer, as well as an electric demand prediction unit, and a first load leveling processing unit. By employing such a system, it becomes possible to provide a load leveling system for a power system that is capable of realizing load leveling of both a distribution substation unit and a pole transformer unit.

Abstract: A distributed controller collects measurement value data of a voltage and a current in an own node and in another node; using the measurement voltage and the current of the own node and the measurement voltage and current of another node as input data, estimates a voltage or a current as a state quantity of the electric power system regarding another node from which the measurement value data cannot be collected, and outputs the estimate values; using the measurement data, the estimate value outputted from the state estimation functional unit and a voltage target value that has been set for each node, outputs the control commands for voltage controllers based on voltage change amounts to be distributed to the voltage control devices of the nodes including the own node. The voltages in the electric power system are controlled by superposition of voltage change amounts by the voltage control devices.

Abstract: An abnormal torque evaluation apparatus is applied to an electrically driven vehicle configured to drive left and right driving wheels independently with respective electric motors and also configured to independently drive the left and right driving wheels by means of the electric motors driven responsively to respective torque commands. Also provided are a yaw jerk detection means for detecting a yaw jerk and an abnormal torque evaluator for evaluating, based on the yaw jerk, the presence or absence of the occurrence of abnormal motor torque at the electric motors.

Abstract: To control a power state of a power system properly according to a communication state. A system for controlling a power system includes a plurality of sensor devices configured to output measurement data; a first control apparatus configured to estimate a first power state of the power system by using the measurement data obtained by the plurality of sensor devices, calculate a first controlled variable according to the estimated first power state, and output the calculated first controlled variable; and at least a second control apparatus configured to execute a predetermined control operation according to either the first controlled variable calculated in the first control apparatus, or a second controlled apparatus calculated in the second control apparatus. When it is not able to obtain part of the measurement data, the first control apparatus estimates the first power state by using predetermined measurement data among the obtained measurement data.

Abstract: The priority of a demand regulating control for a device is changed in accordance with a simple operation by a consumer. A demand regulating system has an operation unit that selects from among a plurality of consumption devices, on the basis of priority information and a regulating quantity, a plurality of control-target devices, which are targeted for demand regulating control reducing consumption of the resource. A control unit executes the demand regulating control on the basis of a control instruction; and an input unit receives a first operation by the consumer, and transmits first request information requesting a change in the priorities of the plurality of control-target devices, to the operation unit in accordance with the first operation. The operation unit, upon receiving the first request information, specifies the plurality of control-target devices, and changes the priorities of the plurality of control-target devices in the priority information.

Abstract: A power demand regulation system has a power demand regulation device that regulates the load applied to equipment of an electrical power system by a load apparatus operating by means of power from the electrical power system, which supplies power to consumers. When regulating the load to the equipment, the power demand regulation device selects a load apparatus as the subject of a request for an alteration of operating state on the basis of by-apparatus load information, which is information of each load apparatus, and a regulation target value, which is the amount of load that is to be regulated, and, in the period from the start to the end of regulation, executes a plurality of times the outputting of an alteration request that requests the alteration of the operating state of the selected load apparatus.