Energy management system

US2016352116A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2016352116-A1
Application numberUS-201415116734-A
CountryUS
Kind codeA1
Filing dateNov 14, 2014
Priority dateFeb 6, 2014
Publication dateDec 1, 2016
Grant date

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

An energy management system includes an overcharging-overdischarging risk storage and a generation storage optimization planner. The overcharging-overdischarging risk storage stores an overcharging-overdischarging risk indicating a risk for overcharging-overdischarging to a power storage device of a hybrid power conditioner for converting a DC power to an AC power to output the AC power to a power distribution system, the DC power inputted from a power generator or the power storage device, the hybrid power conditioner converting an AC power into a DC power to output the DC power to the power storage device, the AC power inputted from the power distribution system. The generation storage optimization planner calculates a control plan value for charging-discharging to the power storage device of the hybrid power conditioner on the basis of at least the overcharging-overdischarging risk, a power demand estimation, and a generated-power estimation for the power generator of the hybrid power conditioner.

First claim

Opening claim text (preview).

1 . An energy management system comprising: an overcharging-overdischarging risk storage which stores an overcharging-overdischarging risk indicating a risk for overcharging-overdischarging to a power storage device of a hybrid power conditioner for converting a DC power to an AC power to output the AC power to a power distribution system, the DC power having been inputted from a power generator or the power storage device, the hybrid power conditioner being for converting an AC power into a DC power to output the DC power to the power storage device, the AC power having been inputted from the power distribution system; and a generation storage optimization planner which calculates a control plan value for charging-discharging to the power storage device of the hybrid power conditioner on the basis of at least the overcharging-overdischarging risk, a power demand estimation, and a generated-power estimation for the power generator of the hybrid power conditioner. 2 . The energy management system according to claim 1 , further comprising: an overcharging-overdischarging risk update unit which calculates a change in the overcharging-overdischarging risk from the overcharging-overdischarging risk, the generated-power estimation for the power generator of the hybrid power conditioner, a generated-power performance, a power storage device residual-charge-discharge-amount of the hybrid power conditioner, and the control plan value, which are stored in the overcharging-overdischarging risk storage, and the overcharging-overdischarging risk update unit that updates the overcharging-overdischarging risk on the basis of the change. 3 . The energy management system according to claim 1 , wherein the overcharging-overdischarging risk storage stores each of the generated-power estimation for the power generator of the hybrid power conditioner, the power storage device residual-charge-discharge-amount of the hybrid power conditioner, and the control plan value, in association with the overcharging-overdischarging risk. 4 . The energy management system according to claim 3 , wherein the overcharging-overdischarging risk storage stores the generated-power estimation for the power generator of the hybrid power conditioner, the power storage device residual-charge-discharge-amount of the hybrid power conditioner, and the control plan value in association with the overcharging-overdischarging risk using a predefined probabilistic model function having the generated-power estimation for the power generator of the hybrid power conditioner, the power storage device residual-charge-discharge-amount of the hybrid power conditioner, and the control plan value as variables and stores functional parameters of the probabilistic model function. 5 . The energy management system according to claim 3 , wherein the overcharging-overdischarging risk storage stores the generated-power estimation for the power generator of the hybrid power conditioner, the power storage device residual-charge-discharge-amount of the hybrid power conditioner, and the control plan value in association with the overcharging-overdischarging risk using a discrete probabilistic table having the generated-power estimation for the power generator of the hybrid power conditioner, the power storage device residual-charge-discharge-amount of the hybrid power conditioner, and the control plan value as items. 6 . The energy management system according to claim 1 , wherein the generation storage optimization planner comprises: a power-generator-generated-power-input-estimate-processor which receives an input of a generated-power of the power generator of the hybrid power conditioner and calculates a power-generator-generated-power estimated value, a power-demand-estimate-input-processor which receives an input of an actually measured value of a power demand and calculates a power demand estimated value, a power-storage-device-SOC-input-processor which receives an input of an actually measured value of the power storage device residual-charge-discharge-amount of the hybrid power conditioner, an overcharging-overdischarging-risk-input-processor which receives an input of the overcharging-overdischarging risk, an overcharging-overdischarging-risk-penalty-calculator which calculates a penalty for the overcharging-overdischarging risk on the basis of the overcharging-overdischarging risk, the power-generator-generated-power estimated value, the power demand estimated value, and the actually measured value of the power storage device residual-charge-discharge-amount which are input, and calculates the control plan value on the basis of the penalty, and an output processor which calculates the control plan value. 7 . The energy management system according to claim 2 , wherein the overcharging-overdischarging risk updater includes: an overcharging-overdischarging-risk-input-processor which receives an input of the overcharging-overdischarging risk, a power-generator-generated-power-input-estimation-processor which receives an input of a generated-power of the power generator of the hybrid power conditioner and calculates a power-generator-generated-power estimated value, a power-storage-device-SOC-input-processor which receives an input of an actually measured value of the power storage device residual-charge-discharge-amount of the hybrid power conditioner, a hybrid-power-conditioner-system (PCS)-planning-input-processor which receives an input of the control plan value, an overcharging-overdischarging risk probabilistic model optimizer which updates the overcharging-overdischarging risk using a probabilistic model function, the power-generator-generated-power estimated value, a power demand estimated value, and the actually measured value of the power storage device residual-charge-discharge-amount, and an overcharging-overdischarging-risk-output-processor which stores the updated overcharging-overdischarging risk in the overcharging-overdischarging risk storage. 8 . The energy management system according to claim 2 , wherein the overcharging-overdischarging risk updater includes: an overcharging-overdischarging-risk-input-processor which receives an input of the overcharging-overdischarging risk, a power-generator-generated-power-input-estimate-processor which receives an input of a generated-power of the power generator of the hybrid power conditioner, a power-storage-device-SOC-input-processor which receives an input of an actually measured value of the power storage device residual-charge-discharge-amount of the hybrid power conditioner, a hybrid-PCS-planning-input-processor which receives an input of the control plan value, a power-generator-generated-power-discretization-estimate-unit which inputs a power-generator-generated-power estimated value to a discrete probabilistic table, a power-storage-device-SOC-discretization-unit which inputs the power storage device residual-charge-discharge-amount to the discrete probabilistic table, a hybrid-PCS-planning-discretization-unit which inputs the control plan value to the discrete probabilistic table, an overcharging-overdischarging-risk-probabilistic-optimizer which updates the overcharging-overdischarging risk on the basis of the power generator-generated-power estimated value, the power storage device residual-charge-discharge-amount, and the control plan value, and inputs the updated overcharging-overdischarging risk to the discrete probabilistic table, and an overcharging-overdischarging-risk-output-processor which stores the updated overcharging-overdischarging risk in the overcharging-overdischarging risk storage. 9 . The energy management system according to claim 1 , further comprising: an interface which inputs the overchargin

Assignees

Inventors

Classifications

  • against overdischarge · CPC title

  • against overcharge · CPC title

  • with electronic devices having internal batteries, e.g. mobile phones · CPC title

  • the loads being an Information and Communication Technology [ICT] facility · CPC title

  • H02J7/0029Primary

    Electricity · mapped topic

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What does patent US2016352116A1 cover?
An energy management system includes an overcharging-overdischarging risk storage and a generation storage optimization planner. The overcharging-overdischarging risk storage stores an overcharging-overdischarging risk indicating a risk for overcharging-overdischarging to a power storage device of a hybrid power conditioner for converting a DC power to an AC power to output the AC power to a po…
Who is the assignee on this patent?
Toshiba Kk
What technology area does this patent fall under?
Primary CPC classification H02J7/0029. Mapped technology areas include Electricity.
When was this patent published?
Publication date Thu Dec 01 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).