JP6404747B2  Design method of power transfer function in power leveling system and calculation method of storage battery capacity in power leveling system  Google Patents
Design method of power transfer function in power leveling system and calculation method of storage battery capacity in power leveling system Download PDFInfo
 Publication number
 JP6404747B2 JP6404747B2 JP2015039991A JP2015039991A JP6404747B2 JP 6404747 B2 JP6404747 B2 JP 6404747B2 JP 2015039991 A JP2015039991 A JP 2015039991A JP 2015039991 A JP2015039991 A JP 2015039991A JP 6404747 B2 JP6404747 B2 JP 6404747B2
 Authority
 JP
 Japan
 Prior art keywords
 power
 filter
 leveling
 storage battery
 amount
 Prior art date
 Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
 Active
Links
 238000004364 calculation methods Methods 0.000 title description 4
 238000010248 power generation Methods 0.000 claims description 40
 230000001629 suppression Effects 0.000 claims description 9
 230000000875 corresponding Effects 0.000 claims description 2
 230000005540 biological transmission Effects 0.000 claims 1
 238000000034 methods Methods 0.000 description 6
 125000003438 dodecyl group Chemical group data:image/svg+xml;base64,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 data:image/svg+xml;base64,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 [H]C([H])([H])C([H])([H])C([H])([H])C([H])([H])C([H])([H])C([H])([H])C([H])([H])C([H])([H])C([H])([H])C([H])([H])C([H])([H])C([H])([H])* 0.000 description 4
 238000010586 diagrams Methods 0.000 description 2
 238000006243 chemical reactions Methods 0.000 description 1
 230000001419 dependent Effects 0.000 description 1
 230000000694 effects Effects 0.000 description 1
 239000010955 niobium Substances 0.000 description 1
 238000005070 sampling Methods 0.000 description 1
Images
Classifications

 Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSSSECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSSREFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
 Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
 Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
 Y02E10/00—Energy generation through renewable energy sources
 Y02E10/50—Photovoltaic [PV] energy
 Y02E10/56—Power conversion systems, e.g. maximum power point trackers

 Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSSSECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSSREFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
 Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
 Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
 Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
 Y02E60/10—Energy storage using batteries

 Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSSSECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSSREFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
 Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
 Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
 Y02E70/00—Other energy conversion or management systems reducing GHG emissions
 Y02E70/30—Systems combining energy storage with energy generation of nonfossil origin
Description
The present invention relates to a system that mitigates output fluctuations of photovoltaic power generation by charge / discharge control of a storage battery.
The feedin tariff system for renewable energy has been put in place, and the introduction of solar power generation has increased rapidly. Solar power output fluctuates drastically due to weather effects. For this reason, when a large amount of photovoltaic power generation is introduced, it is regarded as a problem that the voltage and frequency of the distribution line system fluctuate due to the output fluctuation.
As a countermeasure against this output fluctuation, a power leveling system that installs a storage battery system and relaxes (levels) the output fluctuation of solar power generation is known (see Patent Document 1).
The function of the power leveling system is to level the output of the rapidly changing photovoltaic power generation and supply it to the system. In order to realize this function, a lowpass filter that smoothes the output of photovoltaic power generation may be configured and connected to the system.
That is, configuring a power leveling system is the same as configuring a power filter. As the attenuation of the power filter is increased, leveling can be performed, but conversely, the storage battery capacity is increased. For this reason, in order to optimize the system, all that can be done is how to design the power transfer function of the power filter.
Therefore, in the present invention, in order to optimize the storage capacity that occupies an important role in terms of performance and cost of the power leveling system, and a method for optimally designing the power transfer function of the power filter constituting the power leveling system. The calculation method of is presented.
The invention according to claim 1 is a power leveling system as a power filter for leveling the output of solar power generation that varies rapidly by charge / discharge control of the power storage system and supplying the output to the distribution line system. A characteristic is that the required attenuation is determined from the maximum value of the output fluctuation and the allowable value of the fluctuation speed of the power supplied to the distribution system, and the cutoff frequency of the fluctuation suppression filter constituting the power filter is determined from the attenuation. Have.
According to a second aspect of the present invention, there is provided a power leveling system as a power leveling system as a power leveling filter for leveling the output of photovoltaic power generation that fluctuates rapidly by charge / discharge control of the power storage system and supplying it to a distribution line system The storage capacity ratio corresponding to the cutoff frequency of the fluctuation suppression filter is calculated, and the minimum value (ideal value) of the storage battery capacity is determined by multiplying the storage capacity ratio by the total amount of power generation per day, and the charge / discharge efficiency, etc. It is characterized by determining the necessary storage capacity by taking into account.
According to the first aspect of the present invention, the design of the power transfer function in the power leveling system that functions as a power filter can be easily realized.
According to invention of Claim 2, the minimum storage battery capacity required in order to suppress the output fluctuation  variation of photovoltaic power generation to an allowable value or less can be calculated, and it is advantageous on system design.
Hereinafter, embodiments of the present invention will be described with reference to FIGS. FIG. 1 shows a control configuration of a power leveling system (power filter) A according to the present invention. That the output power P _{in} the solar power was smoothed by fluctuation suppression filter 1 becomes the target value P _{o} ^{*} of the power supplied to the grid. The difference between the target value and the output of the photovoltaic power generation is defined as an output power command value P _{bs} ^{* of the} storage battery system 2 including a storage battery and a storage battery power conditioner described later. The storage battery system 2 performs charge / discharge control of the power of the storage battery according to the command value.
In FIG. 1, P _{out} = _{ } P _{in} + _{ } P _{bs} and P _{bs} ^{*} _{ } = _{ } P _{o} ^{*} _{ } − _{ } P _{in} , P _{o} ^{*} _{ } = _{ } G _{f} P _{in} . Storage battery system 2 has P _{bs} = _{ } Since the output power P _{bs} is controlled to be P _{bs} ^{*} , P _{out} = _{ } P _{in} + _{ } P _{bs} ^{*} = P _{in} + _{ } G _{f} P _{in} − _{ } P _{in} = G _{f} P _{in} , and as a result, the transfer function G _{f} of the fluctuation suppression filter 1 = the transfer function G _{p of the} power filter (power leveling system A).
FIG. 2 shows a configuration of a power leveling system A that is connected in parallel on the AC side to photovoltaic power generation according to the control configuration of FIG. The power leveling system A performs the power leveling control based on the storage battery 3, the sensors 4a to 4d such as transducers for measuring the output power of the solar power generation 7 and the storage battery 3, and the values therefrom, and the output current of the storage battery 3 The leveling controller 5 generates a command value, and a power conditioner (hereinafter referred to as a storage battery power converter) 6 that controls the output current of the storage battery 3 based on the generated command value and charges and discharges. The solar power generation 7 includes a solar battery 8 and a power conditioner (hereinafter referred to as a solar power converter) 9.
FIG. 3 is a control block diagram of the leveling controller 5. The leveling controller 5 has a function of the fluctuation suppression filter 1 and a function of performing feedback control of the output power P _{bs} of the storage battery power conditioner 6 in the storage battery system 2 including the storage battery 3 and the storage battery power conditioner 6.
The method for calculating the cutoff frequency of the power filter and the storage battery capacity is described below. The maximum absolute value of the fluctuation speed as an indicator of the intensity of output fluctuation  dP _{ } / _{ } Use dt  _{max} . After passing the power filter  dP _{ } / _{ } The power filter performance (degree of power leveling) is evaluated based on how small dt  _{max} is. When the power filter is determined by this evaluation, the storage battery capacity B _{cap} is determined according to the capacity of the photovoltaic power generation.
First, an outline procedure for calculating the storage battery capacity will be shown, and then the details will be described. Hereinafter, the fluctuation speed of power and output is simply referred to as power fluctuation or output fluctuation. The general procedure for calculating the storage battery capacity is as follows.
(1) First, after passing through the power filter,  dP _{ } / _{ } Know how much dt  _{max} decays.  DP at input and output _{ } / _{ } The ratio of dt  _{max} is the power fluctuation attenuation amount G. Then, to understand the relationship between the power fluctuation attenuation G and the cutoff frequency f _{c} of the power filter. The above relationship is grasped for several types of filters, and the optimum filter is finally selected from them.
(2) Next, the fluctuation speed of the power supplied to the system  dP _{out} / _{ } dt  tolerance and photovoltaic power output fluctuation  dP _{in} / _{ } The required power fluctuation attenuation is determined from the ratio of dt  _{max} .
(3) and for each filter, obtain the cutoff frequency f _{c} which is required for obtaining the attenuation amount calculated above.
(4) Finally, when leveling is performed using each filter, a point (maximum charged amount) at which the amount of power stored in the storage battery 3 is maximized in one day is obtained. Then, the maximum value of this value is obtained throughout the year. The filter having the smallest maximum value is the optimum filter for the system, and the value is the minimum value B _{o} (ideal value) of the required storage battery capacity. For this B _{o,} charge and discharge efficiency and the battery and power conditioners, it takes into account the depth of discharge when using battery (ratio of the discharge amount to the battery capacity), the actual battery capacity B _{cap} required.
In carrying out the above procedure, first, as the procedure (1), the relationship between the cutoff frequency and the power fluctuation attenuation amount is grasped for several types of filters. Next, as the procedure of (4), the relationship between the cutoff frequency and the maximum charged amount is grasped in advance for each filter. Here, solar power generation equipment (100 _{ } kW and 10 _{ } kW), the case where these relations are grasped based on the output data (1 second sampling data) is explained.
First, examining the relationship between the cutoff frequency f _{c} and the power fluctuation attenuation amount G of the power filter. Specifically, by entering the P _{in} which the actual output data PV of interest based on the power filter to compute the output. From the results, the maximum fluctuation speed of the filter input  dP _{in} / _{ } dt  _{max} and maximum output speed  dP _{out} / _{ } A ratio G (amount of power fluctuation attenuation) of dt  _{max} is obtained. Then, several kinds of filters, determine to change the cutoff frequency f _{c} by power fluctuation attenuation G how changes.
The power filters are primary, secondary, and tertiary Butterworth LPFs. The reason is that the output of photovoltaic power generation may change suddenly in a step shape, so that the point response characteristics are good and the design is easy.
First, from among the output data of the solar power of interest, variation is to choose a few days worth of data intense day, to calculate its output to input P _{in} accordance with the data to the power filter. Then, the power fluctuation attenuation amount is obtained from the result and graphed.
There are various aspects of changes in the output of solar power generation. Therefore, it is necessary to use a graph when the power fluctuation attenuation amount is the smallest. FIG. 4 shows a graph in the case where the power fluctuation attenuation amount is minimized during the investigation.
Power filter by changing the cutoff frequency f _{c} of the result of obtaining the power fluctuation attenuation G, between the two approximately formula (1): G _{ } = _{ } Ten _{ } log _{10} ( dP _{out} / _{ } dt ｜ _{max} /  dP _{in} / _{ } dt  _{max} ) = _{ } a _{1} log _{10} ( _{ } f _{c} ) _{ } + _{ } b _{I} found that there is a relationship like _{1} .
By grasped a relationship between cutoff frequency f _{c} and the power fluctuation attenuation amount G of the power filter, it is possible to obtain the f _{c} of the filter for obtaining the required attenuation G.
Next, when the leveling is performed using each power filter, how much the maximum power storage amount _{Qmax} is calculated is calculated. Then, it is examined how the maximum charged amount Q _{max} changes by changing the cutoff frequency of the power filter.
From the control configuration of the power filter shown in FIG. 1, the storage battery 3 is _{charged} and discharged with the same power as the output power P _{bs} . The amount of power Q (t stored in the storage battery 3 _{ } ) Is the instantaneous power P (t _{ } ), The amount of stored electricity can be obtained by integrating the output power P _{bs} . This amount of electricity stored Q (t _{ } The maximum value of day of) is the maximum storage amount Q _{max,} the maximum value of Q _{max} through the year, the minimum value B _{o} of battery capacity required.
The maximum amount of electricity stored throughout the year is the day when there is a large amount of total power generation per day. For this reason, such a day is selected and the relationship between the cutoff frequency and the maximum charged amount is examined. However, since the value of the maximum power storage amount is directly dependent on the total power generation amount per day, Formula (2) normalized by the total power generation amount: power storage amount ratio C _{b} = _{ } Maximum storage amount _{ } / _{ } Consider the total amount of power generated per day.
By normalizing with the total amount of power generated per day, the relationship between the cutoff frequency and the storage amount ratio can be applied to solar power generation with various capacities. This time, from the output data of the target photovoltaic power generation, we selected several days with a large daily total power generation amount, and calculated the storage amount ratio.
For each power filters, it shows the results of examining the relationship between varying the cutoff frequency f _{c} by the charged amount ratio C _{b} in FIG. The relationship is given by equation (3): log _{10} ( _{ } C _{b} ) _{ } = _{ } a _{2} log _{10} ( _{ } f _{c} ) _{ } + _{ } It can be approximated by a loglinear as b _{2.} Further, the slope a _{2} and the intercept b _{2} of the approximate line do not depend on the capacity of solar power generation or the day. This is thought to be due to the similar power generation pattern of the day with a large total daily power generation. Since the slope a _{2 of the} approximate line is approximately −1, it can be seen that f _{c} and C _{b} are in an inversely proportional relationship.
For each power filters can be derived a relationship of the relationship between the cutoff frequency f _{c} and the power fluctuation attenuation G, and the relationship between the storage amount ratio C _{b} and power fluctuation attenuation G and the storage amount ratio C _{b.}
Equation (1) and (3) result of deriving the power fluctuation attenuation G and the storage amount ratio C _{b} of the equation from the formula (4): log _{10} ( _{ } C _{b} ) _{ } = _{ } ( _{ } a _{2} / _{ } a _{1} ) _{ } ( _{ } G _{ } − _{ } b _{1} ) _{ } + _{ } b _{2} = _{ } ( _{ } a _{2} / _{ } a _{1} ) _{ } G _{ } − _{ } a _{2} b _{1} / _{ } a _{1} + _{ } b _{2} and its graph is shown in FIG.
The graph of FIG. 6, for the required power fluctuation attenuation G, the value of the charged amount ratio C _{b} is the smallest types of filters and C _{b} can be easily obtained.
The calculation procedure of the storage battery capacity is described below. Maximum output fluctuation of the target photovoltaic power generation  dP _{in} / _{ } dt  _{max} and the allowable value of the fluctuation speed of power supplied to the system  dP _{r} / _{ } From dt , the required power fluctuation attenuation amount G _{r} is _{expressed} by Equation (5): G _{r} = _{ } Ten _{ } log _{10} ( dP _{r} / _{ } dt ｜ / ｜ dP _{in} / _{ } dt  _{max} ).
From the relationship between the cutoff frequency and power fluctuation attenuation as shown in FIG. 4, determine the cutoff frequency f _{c} of the filter necessary to obtain the required attenuation G _{r.}
A cutoff frequency as shown in FIG. 5 from the relationship of the charged amount ratio for each filter to determine the charged amount ratio C _{b} for the cutoff frequency f _{c} determined in the previous section. The storage battery capacity is minimized when _{Cb} is minimized. Therefore, C _{b} to select the filter having the smallest from among the relationship graph shown in FIG.
However, when the relationship between the power fluctuation attenuation amount and the storage amount ratio as shown in FIG. 6 can be derived, the storage amount ratio C _{b} is minimized with respect to the necessary power fluctuation attenuation amount G _{r} . Select a filter.
The maximum value W _{max} of the total power generation per day is obtained from the output data of solar power generation.
Battery capacity is calculated by multiplying the C _{b} and W _{max} obtained. However, this value is an ideal value when the charge / discharge efficiency of the storage battery 3 and the power conditioner 6 and the depth of discharge when using the storage battery 3 (the ratio of the discharge amount to the storage battery capacity) are assumed to be 100%. is not. For this reason, it is necessary to consider these efficiency and discharge depth.
When the power conversion efficiency of the storage battery power conditioner 6 is η _{bpc} , the amount of power charged in the storage battery 3 is η _{bpc} times (η _{bpc} B _{o} ) with respect to the ideal value B _{o} (= C _{b} W _{max} ).
Charging efficiency of storage battery 3 (= _{ } Discharge electric energy _{ } / _{ } When the charged electrical energy) and eta _{b,} dischargeable amount of power, with respect to charge power amount eta _{bpc} B _{o,} becomes eta _{b} doubled in battery 3, the eta _{bpc} times because further discharge from the storage battery power conditioner 6. Eventually, the amount of power that can be finally discharged is η _{b} η _{bpc} times (η _{b} η _{bpc} ^{2} B _{o} ).
All of the daily solar power generated in the storage battery 3 is discharged to the grid within that day. Apparently, it means to charge the power up to B _{o} by solar power, it will discharge the same amount of power. However, since the amount of power that can be discharged is η _{b} η _{bpc} ^{2} B _{o according} to the previous section, the loss (1 _{ } − _{ } η _{b} η _{bpc} ^{2} ) _{ } B _{o} needs to be replenished in advance at night. The replenished power cannot be discharged 100%. As in the previous section, the amount of electric power that can be discharged with respect to the supplement is η _{b} η _{bpc} times. Therefore, the amount of power to be charged in advance is given by equation (6): (1 _{ } − _{ } η _{b} η _{bpc} ^{2} ) _{ } B _{o} / _{ } (η _{b} η _{bpc} ) _{ } = _{ } ((η _{b} η _{bpc} ) ^{1} _{ } − _{ } η _{bpc} ) _{ } B _{o} .
Considering the maximum discharge depth K _{dod} when the storage battery 3 is used, the required capacity B _{cap of the} storage battery 3 is expressed by the equation (7): B _{cap} = _{ } (η _{bpc} B _{o} + _{ } ((η _{b} η _{bpc} ) ^{1} _{ } − _{ } η _{bpc} ) _{ } B _{o} ) _{ } / _{ } K _{dod} = _{ } B _{o} / _{ } (η _{b} η _{bpc} K _{dod} ) = _{ } C _{b} W _{max} / _{ } (η _{b} η _{bpc} K _{dod} )
Below, the calculation example which actually calculated  required the capacity  capacitance of the storage battery 3 is described. The target is a 100kW solar power generation facility. The maximum output fluctuation of the solar power generation  dP _{in} / _{ } dt  _{max} = _{ } 43 _{ } kW / s. 3% output fluctuation that can be followed by coalfired power generator _{ } It shall be suppressed to less than / min. In other words, when the allowable value of the fluctuation speed of the power supplied to the system is 0.05 kW / s, the required power fluctuation attenuation amount can be calculated from Equation (5) as G _{r} = _{ } 29.3dB.
In this case, the power filter selects the Butterworth type secondorder LPF from the relationship of FIG. When determining the cutoff frequency f _{c} of the power filter power fluctuation attenuation amount is 29.3dB from FIG. 4, 0.21 _{ } mHz.
From FIG. 6, the storage amount ratio C _{b} is calculated as 4.1. _{ } %.
Maximum value of solar power generation per day W _{max} = _{ } 650 _{ } When it is kWh, the maximum discharge depth of the storage battery 3 to be used is 80 _{ } %, Charging efficiency is 95 _{ } %, Efficiency of battery power conditioner 6 is 94 _{ } Assuming%, the required capacity of the storage battery 3 is B _{cap} = _{ } 37 _{ } kWh.
As described above, according to the present invention, the cutoff frequency of the filter for obtaining the necessary power fluctuation attenuation amount can be obtained, and the system can be optimized.
Moreover, the storage battery capacity according to the capacity of photovoltaic power generation can be calculated, which is advantageous in system design.
The present invention is naturally applicable not only to the case of solar power generation but also to power leveling such as wind power generation.
It can be used as an output fluctuation countermeasure for the distribution system.
DESCRIPTION OF SYMBOLS 1 Fluctuation suppression filter 2 Storage battery system 3 Storage battery 4a4d Sensors, such as a transducer 5 Leveling controller 6 Storage battery power conditioner 7 Solar power generation 8 Solar battery 9 Solar power conditioner A Electric power leveling system
Claims (2)
 In a power leveling system as a power filter that leveles the output of photovoltaic power generation that fluctuates rapidly by charge / discharge control of the power storage system and supplies it to the distribution line system, the maximum value of output fluctuation of solar power generation and distribution Power transmission in a power leveling system, wherein a required attenuation amount is determined from an allowable value of a fluctuation speed of power supplied to a system, and a cutoff frequency of a fluctuation suppression filter constituting the power filter is determined from the attenuation amount. Function design method.
 In the power leveling system as a power filter that leveles the output of photovoltaic power generation that fluctuates rapidly by charge / discharge control of the power storage system and supplies it to the distribution line system, the cutoff frequency of the fluctuation suppression filter constituting the power filter A method for calculating a storage battery capacity in an electric power leveling system, wherein a corresponding storage amount ratio is obtained, and a minimum value of the storage battery capacity is determined by multiplying the storage amount ratio by the total amount of power generated per day.
Priority Applications (1)
Application Number  Priority Date  Filing Date  Title 

JP2015039991A JP6404747B2 (en)  20150302  20150302  Design method of power transfer function in power leveling system and calculation method of storage battery capacity in power leveling system 
Applications Claiming Priority (1)
Application Number  Priority Date  Filing Date  Title 

JP2015039991A JP6404747B2 (en)  20150302  20150302  Design method of power transfer function in power leveling system and calculation method of storage battery capacity in power leveling system 
Publications (2)
Publication Number  Publication Date 

JP2016163427A JP2016163427A (en)  20160905 
JP6404747B2 true JP6404747B2 (en)  20181017 
Family
ID=56847407
Family Applications (1)
Application Number  Title  Priority Date  Filing Date 

JP2015039991A Active JP6404747B2 (en)  20150302  20150302  Design method of power transfer function in power leveling system and calculation method of storage battery capacity in power leveling system 
Country Status (1)
Country  Link 

JP (1)  JP6404747B2 (en) 
Family Cites Families (5)
Publication number  Priority date  Publication date  Assignee  Title 

JP5006104B2 (en) *  20070524  20120822  川崎重工業株式会社  Power smoothing method, power smoothing device, and design method of the same 
JP5013372B2 (en) *  20070906  20120829  国立大学法人 琉球大学  Manufacturing method of storage battery equipment for wind power generator 
JP4551921B2 (en) *  20070927  20100929  株式会社日立エンジニアリング・アンド・サービス  Wind power generation system with storage system 
JP5391598B2 (en) *  20080710  20140115  株式会社明電舎  Stabilized control system for distributed power supply 
JP6032486B2 (en) *  20130314  20161130  清水建設株式会社  Power management system and power management method 

2015
 20150302 JP JP2015039991A patent/JP6404747B2/en active Active
Also Published As
Publication number  Publication date 

JP2016163427A (en)  20160905 
Similar Documents
Publication  Publication Date  Title 

Alam et al.  Mitigation of rooftop solar PV impacts and evening peak support by managing available capacity of distributed energy storage systems  
Levron et al.  Optimal power flow in microgrids with energy storage  
Bizon  Loadfollowing mode control of a standalone renewable/fuel cell hybrid power source  
Barnhart et al.  The energetic implications of curtailing versus storing solarand windgenerated electricity  
Li et al.  Design and test of a new droop control algorithm for a SMES/battery hybrid energy storage system  
Jia et al.  A statistical model to determine the capacity of battery–supercapacitor hybrid energy storage system in autonomous microgrid  
Sathishkumar et al.  Dynamic energy management of micro grids using battery super capacitor combined storage  
EP2865063B1 (en)  Determining of topology of a grid and method for operating  
US8901893B2 (en)  Electricity storage device and hybrid distributed power supply system  
Venu et al.  Battery storage system sizing in distribution feeders with distributed photovoltaic systems  
JP5427116B2 (en)  Maximum power point tracking converter and method for a new renewable energy storage system  
US10069300B2 (en)  Methods and apparatus for dispatching electrical energy from distributed energy resources  
Tan et al.  A review of technical challenges in planning and operation of remote area power supply systems  
US8456878B2 (en)  Power storage system and method of controlling the same  
Li  Fuzzy adaptive Kalman filter for wind power output smoothing with battery energy storage system  
US8358031B2 (en)  System and method for a single stage power conversion system  
US9106104B2 (en)  Power control device, power control method, and power supply system  
Cabral et al.  A stochastic method for standalone photovoltaic system sizing  
JP2010270758A (en)  Control method of regenerable energy using power generation system  
JP5925554B2 (en)  Control device, control system, and control method  
JP2010148242A (en)  Power conversion device, method for controlling charge and discharge of power conversion device, program for controlling power conversion device, and recording medium recorded with program for controlling power conversion device  
JP5882156B2 (en)  Power control device  
JP5354840B2 (en)  New energy generation system output fluctuation mitigation device  
JP5479182B2 (en)  Power generation system and charge / discharge control device  
KR20110039210A (en)  Power storage device of power generation system and operation method thereof 
Legal Events
Date  Code  Title  Description 

A621  Written request for application examination 
Free format text: JAPANESE INTERMEDIATE CODE: A621 Effective date: 20171130 

A977  Report on retrieval 
Free format text: JAPANESE INTERMEDIATE CODE: A971007 Effective date: 20180815 

TRDD  Decision of grant or rejection written  
A01  Written decision to grant a patent or to grant a registration (utility model) 
Free format text: JAPANESE INTERMEDIATE CODE: A01 Effective date: 20180911 

A61  First payment of annual fees (during grant procedure) 
Free format text: JAPANESE INTERMEDIATE CODE: A61 Effective date: 20180913 

R150  Certificate of patent or registration of utility model 
Ref document number: 6404747 Country of ref document: JP Free format text: JAPANESE INTERMEDIATE CODE: R150 