WO2014054628A1 - 小規模電力系統の発電計画策定システム及びその方法 - Google Patents

小規模電力系統の発電計画策定システム及びその方法 Download PDF

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Publication number
WO2014054628A1
WO2014054628A1 PCT/JP2013/076680 JP2013076680W WO2014054628A1 WO 2014054628 A1 WO2014054628 A1 WO 2014054628A1 JP 2013076680 W JP2013076680 W JP 2013076680W WO 2014054628 A1 WO2014054628 A1 WO 2014054628A1
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Prior art keywords
power
generation plan
power generation
risk
unit
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Ceased
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PCT/JP2013/076680
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English (en)
French (fr)
Japanese (ja)
Inventor
英樹 野田
玲子 小原
孝司 森本
元紀 木谷
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Toshiba Corp
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Toshiba Corp
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Priority to US14/433,125 priority Critical patent/US20150254585A1/en
Priority to EP13843429.5A priority patent/EP2905862A4/en
Priority to CN201380032780.1A priority patent/CN104380555B/zh
Priority to IN2949DEN2015 priority patent/IN2015DN02949A/en
Publication of WO2014054628A1 publication Critical patent/WO2014054628A1/ja
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0635Risk analysis of enterprise or organisation activities
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for AC mains or AC distribution networks
    • H02J3/004Generation forecast, e.g. methods or systems for forecasting future energy generation
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2103/00Details of circuit arrangements for mains or AC distribution networks
    • H02J2103/30Simulating, planning, modelling, reliability check or computer assisted design [CAD] of electric power networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for AC mains or AC distribution networks
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70Smart grids as climate change mitigation technology in the energy generation sector
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S40/00Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/20Information technology specific aspects, e.g. CAD, simulation, modelling, system security

Definitions

  • Embodiments of the present invention relate to a power generation plan formulation system and method that take into account the effect of changing power quality.
  • the power supply command center of a small power system such as a smart grid will respond to local needs and actual conditions. If the power quality (ie frequency fluctuation and voltage fluctuation) can be determined independently, the power generation cost can be further suppressed.
  • Embodiments of the present invention are intended to provide a power generation plan formulation system and method that can formulate an optimal power generation plan using power quality as a parameter in a small-scale power system.
  • a power generation plan formulation system for a small-scale power system determines a condition setting unit that sets a time zone of a power generation plan, and conditions for frequency fluctuation and voltage fluctuation.
  • a power quality condition setting unit for setting power quality conditions
  • a power generation plan calculation unit for determining an operating cost using the set power generation plan time zone and the power quality, and calculating a power outage rate for each power outage time
  • a power outage rate calculation unit a risk calculation unit that calculates a power outage risk from a power outage rate calculated in the power outage rate calculation unit using a predetermined formula, a power outage risk obtained in the risk calculation unit and the power generation plan calculation unit
  • a total cost integrating unit that adds up the obtained operating costs and integrates the total costs for each power quality.
  • the power generation plan formulation method for a small-scale power system includes a condition setting step for setting a time zone of the power generation plan, conditions for frequency fluctuation and voltage fluctuation, and conditions for power quality.
  • a power quality condition setting step to set a power generation plan calculation step to determine an operating cost using the set power generation plan time zone and the power quality
  • a power failure rate calculation step to calculate a power failure rate for each power failure time Combine the risk calculation process for calculating the power outage risk from the outage rate calculated in the outage rate calculation process using a predetermined calculation formula, the outage risk determined in the risk calculation process and the operating cost obtained in the power generation plan calculation process Then, from the total cost integration step of totaling the total cost for each power quality and the total cost calculated for each power quality in the total cost integration step, the power product that minimizes the total cost Characterized in that it comprises the overall cost minimum condition output step of selecting the condition output, the.
  • the power generation plan formulation system 10 of the present embodiment includes a condition setting unit 11 that sets a time zone and the like that the user wants to plan in the main body unit 1, upper and lower limit values, fluctuation ranges, and calculation start for frequency fluctuations and voltage fluctuations.
  • a power quality condition setting unit 12 for setting each condition, a power quality condition changing unit 13 for changing these conditions, and a power generation plan calculation unit 14 for determining an operation cost using the set planned time zone and power quality are provided. .
  • the main unit 1 includes a power failure rate calculation unit 15 that calculates a power failure rate for each power failure time, a risk calculation unit 16 that calculates a risk using a predetermined calculation formula, a power failure risk and a power generation plan obtained by the risk calculation unit 16.
  • the total cost integrating unit 17 that adds up the operating costs obtained by the calculating unit 14 and integrating the total cost, and the determining unit 18 that determines whether or not to end the calculation using the conditions set by the power quality condition setting unit 12.
  • the output unit 19 selects and outputs the power quality condition that minimizes the overall cost.
  • the power generation plan formulation system 10 is configured so that an external demand prediction system 21 can be used.
  • an operation planning DB 22, a power failure characteristic DB 23, a power failure risk DB 24, and an overall cost DB 25 are held outside the main unit 1 as databases.
  • the demand prediction system 21 is a system that supplies planned power generation amount information to the condition setting unit 11.
  • the operation plan DB 22 stores information used by the power generation plan calculation unit 14 and includes information such as power generation amount / time / weather information, generator performance information, generator start / stop frequency, tracking limit, minimum storage amount, and the like. Stores equipment constraint information, forecast information such as weather forecasts and singular dates, etc.
  • the power failure characteristic DB 23 stores data used in the power failure rate calculation unit 15, and shows the relationship between the frequency fluctuation tolerance and the power failure rate for each power failure time, and the relationship between the voltage fluctuation tolerance and the power failure rate. Is stored for each power outage time.
  • the power failure risk DB 24 stores data used in the risk calculation unit 16, and stores the total amount of damage compensation per power failure time determined for each time.
  • the total cost DB 25 stores data of the total cost for each power quality calculated by the total cost integrating unit 17.
  • Step S11 Condition setting process
  • the condition setting unit 11 obtains planned power generation amount information for the set time from the external demand prediction system 21.
  • this planned power generation amount information for example, “ ⁇ month ⁇ day ⁇ hour ⁇ minute to ⁇ hour ⁇ minute: ⁇ kWh” is represented.
  • Step S12 power quality condition setting step
  • the power quality condition setting unit 12 in each of the frequency fluctuation and the voltage fluctuation, which are power quality indicators, an allowable amount (voltage fluctuation ( ⁇ ) allowable width and frequency fluctuation ( ⁇ ) allowable width) corresponding to the time zone.
  • voltage fluctuation
  • frequency fluctuation
  • allowable width
  • frequency fluctuation
  • Step S13 Power generation plan calculation process
  • the power generation plan calculation unit 14 uses the set planned time zone and the initial value of power quality (that is, the allowable voltage fluctuation range and the allowable frequency fluctuation range at the start of calculation set by the power quality condition setting unit 12).
  • the operating cost is determined so that the unit price of power generation is minimized based on the generator performance information, the facility constraint information, and the prediction information obtained from the utility DB 22.
  • an existing method described in, for example, Patent Document 1 can be used.
  • Step S14 Power failure rate calculation process
  • the power failure rate calculation unit 15 calculates the power failure rate for each power failure time in light of the characteristic data stored in the power failure property DB 23 in advance.
  • the power failure characteristic DB 23 is a characteristic that indicates the relationship between the frequency fluctuation allowable width and the power failure rate for each power failure time, a characteristic that indicates the relationship between the voltage fluctuation allowable width and the power failure rate for each power failure time, and the like. Is stored. Moreover, in order to determine the said characteristic, the data regarding the power failure time determination table which matched the relationship between a power failure time and an event are also stored.
  • the power failure time may be set in accordance with a standard such as a power failure time determination table shown in FIG. Then, the power failure rate due to frequency fluctuation and the power failure rate due to voltage fluctuation are compared for each power failure time, and the higher power failure rate is determined as the power failure rate corresponding to the power failure time.
  • Step S15 Risk calculation process
  • the risk calculation unit 16 calculates the risk by multiplying the power outage rate of each power outage time by the amount of damages determined according to the power outage time.
  • the following formula (1) can be used as a calculation formula for obtaining the risk.
  • the customer m shows all the customers who become the object of a blackout damage compensation.
  • the risk calculation unit 16 obtains and adds risks for each power failure time n using the above equation (1). Information necessary for the calculation is stored in the power failure risk DB 24 prepared in advance.
  • the data stored in the power failure risk DB 24 is the total damage compensation amount per power failure time determined for each time. As shown in the above equation (1), this amount is a value obtained by adding the damages of all customers connected to the target system.
  • the amount of compensation for damage varies from customer to customer and from hour to hour. For example, if the impact on society is large, such as hospitals and stock exchanges, the amount of compensation for damages is also large. In general, various companies operate in the daytime, and the amount of compensation for power outages is large, but at night it is small. It also varies depending on the season and day, such as the year-end and New Year holidays and the end of the month when there are many financial results. This amount is determined in advance based on the investigation results such as past damage compensation examples.
  • “Weekday time zone AB is the total amount of damage compensation per power outage time ⁇ ⁇ / minute, with breakdown of customer 1: ⁇ ⁇ / minute, customer 2: ⁇ ⁇ / minute, ⁇ ”,“ Weekday time zone CD is the total amount of damage compensation per blackout time ⁇ Yen / min, with customer 1: ⁇ Yen / min, customer 2: Yen / min, ... ”
  • Step S16 Total cost accumulation / data storage process
  • the total cost integration unit 17 adds up the total cost by adding the risk due to the power failure determined by the risk calculation unit 16 according to the power quality and the operation cost determined by the power generation plan calculation unit 14, and after the integration Is stored in the entire cost DB 25.
  • Step S17 Completion determination step
  • the determination unit 18 determines whether calculation of all cases under the conditions set by the power quality condition setting unit 12 has been completed. If not completed (No in step S17), the power quality condition changing unit 13 adds or subtracts the step size determined by the power quality condition setting unit 12 to the voltage fluctuation allowable width and frequency fluctuation allowable width calculated immediately before. Then, the power quality condition is changed (step S19). And the process after step S13 is repeated.
  • Step S18 Total cost minimum condition output step
  • the output unit 19 refers to the total cost for each power quality stored in the total cost DB 25, and the power quality at which the total cost is minimized. Select and output conditions.
  • FIG. 4 shows the configuration of the power generation plan formulation system of the second embodiment.
  • the same components as those in the first embodiment are denoted by the same reference numerals, and description thereof is omitted.
  • the power generation plan formulation system 20 of the present embodiment is configured in the same manner as the power generation plan formulation system 10 of the first embodiment, except that the customer power failure countermeasure DB 31 used in the risk calculation unit 16 is provided outside the main body unit 1. ing.
  • the customer power failure countermeasure DB 31 includes information such as presence / absence of an uninterruptible power supply (UPS), UPS backup time, presence / absence of a storage battery, and remaining amount information of the storage battery (for example, capacity and SOC secured amount%) as information investigated in advance. Stores data related to risk reduction.
  • UPS uninterruptible power supply
  • UPS backup time for example, UPS
  • storage battery for example, capacity and SOC secured amount
  • the risk calculation unit 16 performs calculation in consideration of the risk reduction using the consumer blackout countermeasure DB 31.
  • the risk calculation formula used in this embodiment is shown in the following formula (2).
  • the formula (2) is different in that an avoidance coefficient is set.
  • the avoidance coefficient is a coefficient between “0” when the customer implements a complete power failure avoidance measure, “1” when the measure is not yet implemented, and a coefficient between 0 and 1 when the measure is uncertain.
  • the avoidance coefficient is “1—power outage avoidance achievement rate”.
  • FIG. 5 shows the configuration of the power generation plan formulation system of the third embodiment.
  • the same components as those in the first or second embodiment are denoted by the same reference numerals, and description thereof is omitted.
  • the power generation plan formulation system 30 of the present embodiment is the same as the power generation plan of the second embodiment except that a power failure countermeasure facility data update unit 41 that automatically updates data to the customer power failure countermeasure DB 31 is provided outside the main body 1.
  • the configuration is the same as the planning system 20.
  • the power failure countermeasure facility data update unit 41 has a function of automatically updating information stored in the customer power failure countermeasure DB 31. Specifically, data such as a UPS backup time (h) and a storage battery SOC setting value (%) for each consumer are captured online via a communication line such as the Internet.
  • the timing at which data is taken in may be a method in which a customer may transmit data, or a method of periodically checking the data storage destination of the customer from the power failure countermeasure facility data update unit 41 and updating it when there is a change. Thereby, the power failure countermeasure equipment data for every consumer can be updated to the latest information. Moreover, you may obtain and update operation plan information, such as a storage battery containing time information, from the consumer side.
  • the data stored in the customer power failure countermeasure DB 31 is automatically updated to the latest information by the power failure countermeasure facility data update unit 41.
  • the plan can be handled with high accuracy.
  • FIG. 6 shows the configuration of the power generation plan formulation system of the fourth embodiment.
  • the same components as those in the embodiment described above are denoted by the same reference numerals, and description thereof is omitted.
  • the power generation plan formulation system 40 of the present embodiment is adjacent to the power quality condition setting unit 12 except that a power quality plan setting unit 51 that sets a lower limit value of power quality in advance for each time zone is provided. It is comprised similarly to the electric power generation plan formulation system 10 of embodiment.
  • the power quality plan setting unit 51 sets a lower limit value of the allowable fluctuation amount, for example, as shown in FIG. 7 for each of the frequency fluctuation and the voltage fluctuation. Also, the variation allowable amount may be set as a function expression using time as a parameter.
  • the power quality plan setting unit 51 of the main body 2 sets the lower limit value of the power quality in advance for each time period, thereby formulating an operation plan based on the customer needs. It becomes possible to do. For example, it is possible to formulate an operation plan for improving power quality only during the daytime on weekdays when a factory or the like is operating.
  • FIG. 8 shows the configuration of the power generation plan formulation system of the fifth embodiment.
  • the same components as those in the embodiment described above are denoted by the same reference numerals, and description thereof is omitted.
  • the power generation plan formulation system 50 of the present embodiment is the second except that a power failure risk data update unit 61 that automatically updates the registration information of the power failure risk DB 24 and the customer power failure countermeasure DB 31 is provided outside the main body unit 1. It is comprised similarly to the power generation plan formulation system 20 of the embodiment.
  • the power outage risk data update unit 61 automatically updates the amount of damage compensation in the event of a power outage that changes with regional development. Specifically, information relating to changes in the power outage risk calculation conditions, such as tenants at local commercial facilities, new hospitals, and schools, is retrieved online from local authorities and other institutions via communication lines such as the Internet.
  • the timing at which the data is taken in may be a method in which a customer may transmit data, or a method of periodically checking the data storage destination from the power failure risk data updating unit 61 and updating it when there is a change. Thereby, the registration information of the power failure risk DB 24 and the customer power failure countermeasure DB 31 can be periodically updated to the latest information. Moreover, you may acquire and update the update plan containing time information from the customer side.
  • the power failure risk data update unit 61 can automatically update the power failure risk information. It will be easier to correct the amount of damages.
  • FIG. 9 the structure of the power generation plan formulation system of 6th Embodiment is shown.
  • the same components as those in the embodiment described above are denoted by the same reference numerals, and description thereof is omitted.
  • the power generation plan formulation system 60 of this embodiment replaces the power failure risk DB 24 with the power generation plan of the first embodiment except that a terminal system power failure risk DB 71 and a terminal system customer power failure countermeasure DB 72 are provided outside the main body 1.
  • the configuration is the same as that of the planning system 10.
  • the registration information is divided and registered for each end system that is opened and closed by a power transmission or demand end circuit breaker of the power company. For example, damage compensation data per power outage time was divided for each terminal system, such as XX yen / min for system A, ⁇ yen / min for system B, and ⁇ / min for system C. It is stored in the database in the form.
  • the operation plan DB 22, the power failure characteristic DB 23, the power failure risk DB 24, and the overall cost DB 25 are provided outside the main body 1 or the main body 2 as the database.
  • a part or all of the database may be provided inside the main body 1 or the main body 2.
  • the power quality plan setting unit 51 for setting the lower limit value of the power quality is provided adjacent to the power quality condition setting unit 12.
  • the function of the power quality plan setting unit 51 may be provided in advance.
  • the end system power outage risk data update unit that automatically updates the registration information of the end system power outage risk DB 71 and the end system customer power outage countermeasure DB 72 periodically is external to the main unit 1. It can also be provided.

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PCT/JP2013/076680 2012-10-02 2013-10-01 小規模電力系統の発電計画策定システム及びその方法 Ceased WO2014054628A1 (ja)

Priority Applications (4)

Application Number Priority Date Filing Date Title
US14/433,125 US20150254585A1 (en) 2012-10-02 2013-10-01 Power generation plan creating system and method for small-scale power system
EP13843429.5A EP2905862A4 (en) 2012-10-02 2013-10-01 SYSTEM FOR CREATING AN ENERGY GENERATION PLAN FOR SMALL ENERGY SYSTEMS AND METHOD THEREFOR
CN201380032780.1A CN104380555B (zh) 2012-10-02 2013-10-01 小规模电力系统的发电计划制定系统及其方法
IN2949DEN2015 IN2015DN02949A (https=) 2012-10-02 2013-10-01

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JP2012220164A JP6132504B2 (ja) 2012-10-02 2012-10-02 小規模電力系統の発電計画策定システム及びその方法
JP2012-220164 2012-10-02

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CN112736903A (zh) * 2020-12-25 2021-04-30 国网上海能源互联网研究院有限公司 一种海岛微网能量优化调度方法及装置

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