Power demand-supply management server and power demand-supply management system

• US 8,768,527 B2
• Filed: 01/08/2010
• Issued: 07/01/2014
• Est. Priority Date: 01/13/2009
• Status: Active Grant

• Current Assignee: Hitachi, Ltd.
• Original Assignee: Hitachi, Ltd.
• Inventors: Tomita, Yasushi, Sato, Yasuo, Watanabe, Masahiro, Tachihara, Rena, Otake, Yuichi, Yamada, Tatsuya
• Primary Examiner(s): VON BUHR, MARIA N
• Application Number:
  US13/061,202
• Publication Number:
  US 20110282505A1
• Time in Patent Office: 1,635 Days
• Field of Search: 700/22, 700 28- 40, 700/286, 700/291, 700295-299, 705/80, 705/412
• US Class Current: 700/291
• CPC Class Codes: H02J 13/00004 characterised by the power network being locally controlled
• CPC Class Codes: H02J 13/00028 involving the use of Internet protocols
• CPC Class Codes: H02J 2310/14 The load or loads being home appliances
• CPC Class Codes: H02J 2310/64 The condition being economic, e.g. tariff based load management
• CPC Class Codes: H02J 3/14 by switching loads on to, or off from, network, e.g. progressively balanced loading
• CPC Class Codes: Y02B 70/30 Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 20/242 Home appliances
• CPC Class Codes: Y04S 50/10 Energy trading, including energy flowing from end-user application to grid

Abstract

A power demand/supply management server (10) obtains information defining restraint contents to a comfort and an electricity bill from a consumer power operating device (2). An individual-consumer control optimizing unit of the power demand/supply management server (10) calculates control contents to an electrical equipment having a minimum cost evaluation value based on a simulation result of cost evaluation values which are barometers for evaluating a comfort and an electricity bill excessiveness, and transmits the calculated control contents to the consumer power operating device (2). Also, a whole-consumer optimizing unit of the power demand/supply management server (10) calculates the most appropriate electricity unit meter-charge that ensures a necessary demand suppression plan level throughout the whole power system based on an electricity daily load curve for each consumer.

Claims

1. A power demand/supply management server which is connected to a plurality of power operating devices that control electrical equipment through a communication network and which distributes control information defining control contents for the electrical equipment to the power operating device, the power demand/supply management server comprising:

a memory unit that stores a predetermined energy consumption model for predicting an electricity daily load curve indicating an electrical power consumption per predetermined time using parameters which are control-target equipment information of the power managing device, applied-rate-plan group information indicating an electricity unit meter-charge applied to the power operating device and an applied period of the electricity unit meter-charge, and control contents to the electrical equipment and a weather condition;

information obtaining unit that obtains control preference information including cost evaluation values which are barometers indicating a compatibility of restraint conditions to a comfort and an electricity bill for each consumer, the comfort and the electricity bill being set and input by the power operating device;

a control simulating unit which obtains the energy consumption model from the memory unit in order to calculate the electricity daily load curve, and which simulates a total cost evaluation value that is a total of the cost evaluation values for the comfort and the electricity bill for a predetermined period using the calculated electricity daily load curve, the applied-rate-plan group information stored in the memory unit and the obtained control preference information;

an individual-consumer control optimizing unit which obtains the control-target equipment information from the memory unit, generates a plurality of candidate data having the control contents to the electrical equipment changed and set, instructs the control simulating unit to perform simulation on the plurality of generated candidate data, selects the control contents to the electrical equipment so that the total cost evaluation value becomes minimum among the plurality of candidate data as a result of the simulation, and generates the electrical equipment control information based on the selected control contents; and

a transmitting unit that transmits the generated electrical equipment control information to the power operating device.

2. The power demand/supply management server according to claim 1, further comprising a consumer LP (Load Profiling) unit which calculates, as coefficients of the parameters defined by the energy consumption model, values in which an error becomes minimum through a regression analysis based on past actual record data of the parameters and the electricity daily load curve using the predetermined energy consumption model stored in the memory unit, and generates an energy consumption model for each consumer.

3. The power demand/supply management server according to claim 2, wherein the control simulating unit obtains the energy consumption model for each consumer generated by the consumer LP unit, calculates the electricity daily load curve per predetermined time at each day in a year using the energy consumption model, calculates an annual electricity bill by multiplying the calculated electricity daily load curve by an electricity unit meter-charge for each time division in the applied period based on the obtained applied-rate-plan group information, calculates an electricity bill cost evaluation value by checking the annual electricity bill and the obtained cost evaluation value of the electricity bill, calculates a comfort cost evaluation value by checking the control contents to the electrical equipment and the obtained cost evaluation value of the comfort, and sums up the electricity bill cost evaluation value and the comfort cost evaluation value, thereby calculating the total cost evaluation value.

4. The power demand/supply management server according to claim 1, wherein

a system-operation management server that manages and operates an electricity generator is further connected to the communication network,

the power demand/supply management server further comprises a whole-consumer optimizing unit which receives information on a demand suppression plan level from the system-operation management server, obtains the electricity daily load curve for each consumer calculated by the control simulating unit upon instruction by the individual-consumer control optimizing unit, and calculates a minimum electricity unit meter-charge that ensures a demand suppression plan level necessary as a whole power system, and

the whole-consumer optimizing unit transmits information on the minimum electricity unit meter-charge to the power operating device through the transmitting unit.

5. The power demand/supply management server according to claim 4, wherein the whole-consumer optimizing unit obtains the electricity daily load curve for each consumer calculated by the control simulating unit upon instruction by the individual-consumer control optimizing unit, synthesizes obtained individual electricity daily load curves in order to generate a demand suppression pattern, calculates, as a demand suppression expected level, a difference between the generated demand suppression pattern and an electricity daily load curve for each consumer calculated based on a current electricity unit meter-charge, selects a pattern so that the demand suppression expected level for each hour within a demand suppression period exceeds the demand suppression plan level and a demand-suppression-expected-level total level within the demand suppression period minimally exceeds a demand-suppression-plan-level total level within the demand suppression period, and calculates the electricity unit meter-charge.

6. A power supply management system comprising a plurality of power operating devices that control electrical equipment, a power demand/supply management server that distributes control information defining control contents for the electrical equipment to the power operating device, and a system-operation management server that manages an electricity generator, the plurality of power operating devices, the power demand/supply management server, and the system-operation management server being connected one another through a communication network, the power supply management server comprising:

a memory unit that stores a predetermined energy consumption model for predicting an electricity daily load curve indicating an electrical power consumption per predetermined time using parameters which are control-target equipment information of the power managing device, applied-rate-plan group information indicating an electricity unit meter-charge applied to the power operating device and an applied period of the electricity unit meter-charge, and control contents to the electrical equipment and a weather condition;

information obtaining unit that obtains control preference information including cost evaluation values which are barometers indicating a compatibility of restraint conditions to a comfort and an electricity bill for each consumer, the comfort and the electricity bill being set and input by the power operating device;

a control simulating unit which obtains the energy consumption model from the memory unit in order to calculate the electricity daily load curve, and which simulates a total cost evaluation value that is a total of the cost evaluation values for the comfort and the electricity bill for a predetermined period using the calculated electricity daily load curve, the applied-rate-plan group information stored in the memory unit and the obtained control preference information;

an individual-consumer control optimizing unit which obtains the control-target equipment information from the memory unit, generates a plurality of candidate data having the control contents to the electrical equipment changed and set, instructs the control simulating unit to perform simulation on the plurality of generated candidate data, selects the control contents to the electrical equipment so that the total cost evaluation value becomes minimum among the plurality of candidate data as a result of the simulation, and generates the electrical equipment control information based on the selected control contents;

a whole-consumer optimizing unit which receives information on a demand suppression plan level from the system-operation management server, obtains the electricity daily load curve for each consumer calculated by the control simulating unit upon instruction by the individual-consumer control optimizing unit, and calculates a minimum electricity unit meter-charge that ensures a demand suppression plan level necessary as a whole power system; and

a transmitting unit that transmits the generated electrical equipment control information and information on the minimum electricity unit meter-charge applied to the power operating device to the power operating device.

7. The power supply management system according to claim 6, wherein the whole-consumer optimizing unit of the power supply management server obtains the electricity daily load curve for each consumer calculated by the control simulating unit upon instruction by the individual-consumer control optimizing unit, synthesizes obtained individual electricity daily load curves in order to generate a demand suppression pattern, calculates, as a demand suppression expected level, a difference between the generated demand suppression pattern and an electricity daily load curve for each consumer calculated based on a current electricity unit meter-charge, selects a pattern so that the demand suppression expected level for each hour within a demand suppression period exceeds the demand suppression plan level and a demand-suppression-expected-level total level within the demand suppression period minimally exceeds a demand-suppression-plan-level total level within the demand suppression period, and calculates the electricity unit meter-charge.

8. The power supply management system according to claim 7, wherein

the whole-consumer optimizing unit of the power supply management server calculates the demand suppression expected level of the whole consumers when the electricity unit meter-charge is changed, calculates, as a demand suppression cost, a change amount in a total of electricity unit meter-charge in the changed electricity unit meter-charge, generates demand suppression cost information including the demand suppression expected level and the demand suppression cost in association with each other, and transmits the generated demand suppression cost information to the system-operation management server, and

the system-operation management server sets the demand suppression plan level so that a total cost of the demand suppression cost when the demand suppression expected level is increased and an electricity generating cost when an electric generating capacity of the electricity generator is increased becomes minimum based on the demand suppression cost information obtained from the whole-consumer optimizing unit, and transmits information on the set demand suppression plan level to the whole-consumer optimizing unit of the power supply management server.