CN106058905A - Distributed photovoltaic energy storage peak regulation system based on power prediction - Google Patents

Distributed photovoltaic energy storage peak regulation system based on power prediction Download PDF

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Publication number
CN106058905A
CN106058905A CN201610570125.7A CN201610570125A CN106058905A CN 106058905 A CN106058905 A CN 106058905A CN 201610570125 A CN201610570125 A CN 201610570125A CN 106058905 A CN106058905 A CN 106058905A
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energy storage
power
photovoltaic
load
grid
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CN201610570125.7A
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CN106058905B (en
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姜宪明
高爽
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Beijing Kaihua Network New Energy Technology Co Ltd
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Beijing Kaihua Network New Energy Technology Co Ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J9/00Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting
    • H02J9/04Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting in which the distribution system is disconnected from the normal source and connected to a standby source
    • H02J9/06Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting in which the distribution system is disconnected from the normal source and connected to a standby source with automatic change-over, e.g. UPS systems
    • H02J9/061Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting in which the distribution system is disconnected from the normal source and connected to a standby source with automatic change-over, e.g. UPS systems for DC powered loads
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J9/00Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting
    • H02J9/04Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting in which the distribution system is disconnected from the normal source and connected to a standby source
    • H02J9/06Circuit arrangements for emergency or stand-by power supply, e.g. for emergency lighting in which the distribution system is disconnected from the normal source and connected to a standby source with automatic change-over, e.g. UPS systems
    • H02J9/068Electronic means for switching from one power supply to another power supply, e.g. to avoid parallel connection
    • 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
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B10/00Integration of renewable energy sources in buildings
    • Y02B10/70Hybrid systems, e.g. uninterruptible or back-up power supplies integrating renewable energies
    • 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
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/50Photovoltaic [PV] energy
    • Y02E10/56Power conversion systems, e.g. maximum power point trackers
    • 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
    • Y02E70/00Other energy conversion or management systems reducing GHG emissions
    • Y02E70/30Systems combining energy storage with energy generation of non-fossil origin

Abstract

The invention relates to a distributed photovoltaic energy storage peak regulation system based on power prediction, which comprises a photovoltaic unit, a grid-connected device, a power grid end, an off-grid device, power prediction, electric power dispatching, an energy storage device, loads and the like. The whole system is composed of the photovoltaic unit, a grid-connected inverter, a grid-connected electric energy meter, a gateway electric energy meter, a power grid, an off-grid DC/DC controller, an AC/DC controller, an energy storage management system, an off-grid DC/AC controller, a DC load, an AC load, an energy storage device, a power prediction device, a switch control unit, a communication unit, controlled switches K0, K1, K2, K3, K4 and K5 and the like. The output of the power prediction controls the state of the controlled switch via the switch control unit, and thus, the distributed photovoltaic energy storage peak regulation system based on power prediction can dispatch the residual capacity of the energy storage device in advance, and the following purposes can be realized: when future photovoltaic output is larger than the load, the redundant photovoltaic electric energy is stored by the energy storage device, the distributed photovoltaic self-generation self-use ratio maximization is realized, and the distributed photovoltaic income level is improved; in the case of future mains supply failure, the part with insufficient load is provided by the energy storage device and the photovoltaic off-grid power supply device, and the reliability of the power supply system is improved; and functions of peak load shifting are provided for areas with significant step tariff, the comprehensive utilization rate of the system is improved, and the income level is improved.

Description

Distributed photovoltaic energy storage peak shaving system based on power prediction
Technical field
The present invention relates to distributed photovoltaic energy storage peak shaving system based on power prediction, belong to new forms of energy and distributed photovoltaic Energy storage peak shaving application.
Background technology
Energy environment issues is restriction economy, the key factor of social development, and traditional energy utilizes has great environment Cost, photovoltaic generation belongs to field of new energy generation, and the environmental friendliness feature that it has is to solve the breakthrough of energy environment issues Mouthful.In recent years, China has made large quantities of large-scale ground photo-voltaic power generation station, also leaves one while advancing theCourse of PV Industry A little negative effects, limited by land use, the many construction in large-sized photovoltaic power station desert meagrely-populated in the northwestward, many, barren beach Area, local electric energy consumption is limited in one's ability, and overhead power transmission line is laid progress and substantially do not caught up with photovoltaic plant construction speed, causes How to abandon optical issue to highlight, there is waste greatly in photovoltaic generation, photovoltaic generation enterprise income can not get effective guarantee, even deposits In serious financial loss, serious have impact on photovoltaic generation sustainable and healthy development.The optical phenomenon of abandoning of photovoltaic plant has caused The attention of State-level, for protection photovoltaic generation sustainable and healthy development, protects the positive of photovoltaic generation enterprise development photovoltaic generation Property, National Development and Reform Committee, National Energy Board put into effect about carrying out wind-powered electricity generation, photovoltaic generation protection in full receipts on May 27th, 2016 Purchase the notice of management work, send out and change the energy [2016] 1150, appraised and decided part existence and abandoned wind, abandon in optical issue area planning Wind-powered electricity generation, photovoltaic generation are minimum ensures purchase annual utilization hours.The digestion capability of photovoltaic plant location photovoltaic electric energy and sending outside Ability is the essence restraining factors of local theCourse of PV Industry, sends out and changes the energy [2016] 1150 and can protect in policy Build the income of photovoltaic plant, but can not fundamentally solve that photovoltaic generation is not enough with digestion capability, transmission of electricity construction progress is the most stagnant After essence contradiction.
Distributed photovoltaic power generation is dissolved nearby owing to being capable of photovoltaic generation, reduces the loss of power transmission and distribution link, is subject to Increasing concern and attention, State-level has been put into effect relevant policies successively and has advanced the development of distributed photovoltaic power generation, mesh Front distributed photovoltaic power generation mainly has " generate power for their own use, remaining electricity online " and " fully surfing the Net " both of which, " generate power for their own use, remaining electricity Online " Mode Enterprise income mainly has, the public subsidies obtained by generated energy in full, the electricity cost saved of generating power for their own use, with And gene-ration revenue three part that on remaining electricity, mesh portions obtains.
In China's existing electrical network system, electricity rates are far above generating price, therefore " generate power for their own use, remaining electricity is surfed the Net " Under pattern, increase the ratio that user side is generated power for their own use, distributed photovoltaic power generation enterprise can be made to obtain higher gene-ration revenue, subtract Enterprise investment payoff period less, improve distributed photovoltaic power generation enterprise and promote the enthusiasm of distributed photovoltaic, the most whole photovoltaic The sound development of industry, but photovoltaic generation peak period is the most synchronize with peak times of power consumption, photovoltaic generation peak period sends Electric energy sells power grid enterprises by the pricing mode of remaining electricity online greatly, virtually decreases the income of photovoltaic generation enterprise Level.In order to improve the ratio that user side is generated power for their own use, it is proposed that a kind of distributed photovoltaic energy storage peak shaving based on power prediction System, grid-connected, off-network, energy storage, power prediction, electric energy scheduling, load etc. are organically combined by this system, pre-by rational power Survey and electric energy scheduling, distributed photovoltaic output 100% can be realized and generate power for their own use, utilize time-of-use tariffs peak load shifting, and as standby Power supply reliability is improved with power supply.
Summary of the invention
The present invention is directed to distributed photovoltaic power generation generate power for their own use the not enough problem of ratio, it is proposed that a kind of based on power prediction Distributed photovoltaic energy storage peak shaving system, main purpose is: dispatched by rational power prediction and electric energy, solve distributed Photovoltaic is generated power for their own use while ratio deficiency problem, can realize utilizing time-of-use tariffs peak load shifting further, and as standby Power supply improves electric power system reliability.Another one significance of the present invention is, by application the present invention provide based on merit The distributed photovoltaic energy storage peak shaving system of rate prediction, can improve and possess energy storage device in the case of change is the least greatly Electric power system, such as communication base station electric power system, the comprehensive utilization ratio of the electric power system etc. with standby UPS, in addition, structure The most equipment and the device that become the present invention are all that demand is big, industrialization level is higher, the lower-cost standard of scale sets Method that is standby, that therefore provided by the present invention, user or enterprise can realize the transformation of former electric power system with little investment, change Electric power system after making is provided simultaneously with parallel network power generation and peak regulation, photovoltaic off-grid generating, utilizes time-of-use tariffs peak load shifting And improve the function of electric power system reliability.
Concrete, the purpose of the present invention is achieved through the following technical solutions:
The present invention is by photovoltaic cells (100), combining inverter (101), grid-connected electric energy meter (102), gate energy meter (103), electricity Net (137), off-network DC/DC controller (104), AC/DC controller (105), energy storage management system (106), off-network DC/AC control Device (107), DC load (108), AC load (109), energy storage device (110), powder prediction device (111), on-off control Unit (112), communication unit (113), controlled switch K0, K1, K2, K3, K4, K5 etc. form;Photovoltaic cells (100) is opened with controlled Closing K1, K2 to be connected, the input of combining inverter (101) is connected with controlled switch K1, combining inverter (101) output and grid-connected electricity Can table (102) input be connected, grid-connected electric energy meter (102) output is connected with gate energy meter (103), controlled switch K3, K5, critical point Electric energy meter (103) output gets access to grid (137);Off-network DC/DC controller (104) input is connected with controlled switch K2, its company of output Receive the input of energy storage management system (106);AC/DC controller (105) input is connected with controlled switch K3, and its output is connected to The input of energy storage management system (106);The output phase of the input of off-network DC/AC controller (107) and energy storage management system (106) Even, its output is connected with controlled switch K4;Controlled switch K4, K5 are at the rear and AC load that is connected near AC load (109) side (109) it is connected;The K0 that enters through of DC load (108) is connected with the output of energy storage management system (106);Energy storage device (110) it is joined directly together with energy storage management system (106);The output of powder prediction device (111) is defeated with switch control unit (112) Enter connected, its RS485/422 EBI by RS485/422 bus respectively with photovoltaic cells (100), energy storage device (110), DC load (108), AC load (109), gate energy meter (103), the RS485/422 EBI of communication unit (113) It is connected.
The system that the present invention provides can induction and conclusion be four-layer structure, and ground floor structure includes photovoltaic cells (114), second Rotating fields includes electrical network end (115), grid-connecting apparatus (116), off-network device (117), and third layer structure includes power prediction (121), electric energy scheduling (118), four-layer structure includes energy storage device (119), load (120), and wherein electrical network end (115) is by closing Mouth electric energy meter (103) and electrical network (137) composition, grid-connecting apparatus (116) is by K1, combining inverter (101) and grid-connected electric energy meter (102) composition, off-network device (117) is made up of K2, off-network DC/DC controller (104), and power prediction (121) is by power prediction Device (111) and communication unit (113) composition, electric energy scheduling (118) is by K0, K3, K4, K5, switch control unit (112), storage Can manage system (106), AC/DC controller (105), off-network DC/AC controller (107) composition, load (120) is by DC load (108), AC load (109) composition, system is by photovoltaic cells, grid-connected, off-network, energy storage, power prediction, electric energy scheduling, load Etc. organically combining into an entirety.
In the system that the present invention provides, distributed photovoltaic is based on grid-connected, and off-network is auxiliary, only when mains failure, For maximally utilizing distributed photovoltaic electric energy, distributed photovoltaic is just operated in off-network state, and K1 Guan Bi shows that electrical network is normal and divides The work of cloth photovoltaic or plan are operated in and net state, and K2 Guan Bi shows that electrical network has had a power failure and distributed photovoltaic works or intends being operated in Off-network state, even if K3, K5 Guan Bi also cannot be powered for downstream plant during K2 Guan Bi, definition K1, K2 at any time can not be same Time be in closure state, during K2 Guan Bi, in K3, K5, any one can not be closure state, K4, K5 at any time can not while Being in closure state, K3, K4 are not simultaneously in closure state, in 64 kinds of on off states above-mentioned definition of eliminating that K0 ~ K5 is constituted not After the on off state that can realize, remain 24 kinds of effective on off states.
The present invention provide system in, powder prediction device (111) by RS485 bus obtain photovoltaic cells history Operation maintenance information, DC load history run safeguards the power distribution information determined in information, future, AC load history run The power distribution information that maintenance information, future determine, energy storage device history run safeguards information, current remaining capacity information, electricity Net scheduling, power failure arrange and timesharing time-of-use tariffs information, local photovoltaic generation historical sample information, local Weather Forecast Information Deng, provide the on off state that K0 ~ K5 determines after the above-mentioned information of powder prediction device (111) integrated treatment, and pass through on-off control Unit (112) controls being opened or closed of K0 ~ K5 switch, to plan that energy storage device residual capacity completes electric energy scheduling in advance.
In the system that the present invention provides, its communication unit comprised (113) can be between completion system and far-end server Information exchange, but its main function be reception system install ground photovoltaic generation historical sample information, Function Fitting method and Relevant parameter, and send it to the powder prediction device (111) functional relationships in order to matching photovoltaic generation power Yu weather information System, powder prediction device (111) utilizes following Weather Forecast Information, the functional relationship of matching and photovoltaic cells history run dimension Protect the information such as information to determine system photovoltaic generation power in future, collect dispatching of power netwoks, having a power failure arranges and timesharing peak-trough electricity simultaneously Valency, the relevant information of the following power distribution of alternating current-direct current load and energy storage device residual capacity etc., pass through switch control unit (112) state controlling K0 ~ K5 switch can complete following function: makes energy storage device in distributed photovoltaic peak power arrival premise Before reserved enough memory capacity, generate power for their own use realizing distributed photovoltaic power generation 100%;Energy storage device is made to lay in before power failure Enough capacity, to guarantee that the memory capacity that can utilize the generating of distributed photovoltaic off-network and energy storage device self after having a power failure meets Workload demand;Energy storage device is made to lay in appropriate electric energy when low ebb electricity price, it is ensured that future load utilizes photovoltaic generation and prestores Electricity obtains maximum gain.
The present invention provide method be applicable to transform the electric power system with energy storage device, as communication base station electric power system, There is the electric power system etc. of standby UPS, on the premise of not changing original system electric power-feeding structure, increase luminous intensity distribution photovoltaic array by appropriate (122), combining inverter (123), grid-connected electric energy meter (124), off-network DC/DC controller (125), communication unit (126), power Prediction means (127), switch control unit (128) and for realize electric energy scheduling controlled switch K6, K7, K8 etc., it is achieved Meet the distributed photovoltaic energy storage peak shaving system of user's primary demand.
Accompanying drawing explanation
Fig. 1 is distributed photovoltaic energy storage peak shaving system schematic diagram based on power prediction;
Fig. 2 is distributed photovoltaic energy storage peak shaving system structure chart based on power prediction;
Fig. 3 is communication base station electric power system transformation map;
Fig. 4 is for realizing electric energy scheduling flow figure when distributed photovoltaic power generation 100% is generated power for their own use;
Fig. 5 is for realizing electric energy scheduling flow figure when power failure meets workload demand;
Fig. 6 is realization electric energy scheduling flow figure when utilizing time-of-use tariffs peak load shifting function;
Fig. 7 is controlled switch on-off logic table.
Detailed description of the invention
Embodiment one:
Distributed photovoltaic energy storage peak shaving system based on power prediction includes: photovoltaic cells (100), combining inverter (101) and Net electric energy meter (102), gate energy meter (103), electrical network (137), off-network DC/DC controller (104), AC/DC controller (105), energy storage management system (106), off-network DC/AC controller (107), DC load (108), AC load (109), energy storage Device (110), powder prediction device (111), switch control unit (112), communication unit (113), controlled switch K0, K1, K2, K3, K4, K5 etc..
The connected mode of each several part is as it is shown in figure 1, its concrete connected mode is as follows: photovoltaic cells (100) and controlled switch K1, K2 are connected, and the input of combining inverter (101) is connected with controlled switch K1, combining inverter (101) output and grid-connected electric energy Table (102) input is connected, and grid-connected electric energy meter (102) output is connected with gate energy meter (103), controlled switch K3, K5, critical point electricity Table (103) output can get access to grid (137);Off-network DC/DC controller (104) input is connected with controlled switch K2, and it exports connection Input to energy storage management system (106);AC/DC controller (105) input is connected with controlled switch K3, and its output is connected to storage The input of system (106) can be managed;The output phase of the input of off-network DC/AC controller (107) and energy storage management system (106) Even, its output is connected with controlled switch K4;Controlled switch K4, K5 are at the rear and AC load that is connected near AC load (109) side (109) it is connected;The K0 that enters through of DC load (108) is connected with the output of energy storage management system (106);Energy storage device (110) it is joined directly together with energy storage management system (106);The output of powder prediction device (111) is defeated with switch control unit (112) Enter connected, its RS485/422 EBI by RS485/422 bus respectively with photovoltaic cells (100), energy storage device (110), DC load (108), AC load (109), gate energy meter (103), the RS485/422 EBI of communication unit (113) It is connected.
Fig. 2 show the system construction drawing according to Fig. 1 induction and conclusion, and whole system can induction and conclusion be four-layer structure, the One Rotating fields includes photovoltaic cells (114), and second layer structure includes electrical network end (115), grid-connecting apparatus (116), off-network device (117), third layer structure include power prediction (121), electric energy dispatch (118), four-layer structure include energy storage device (119), Load (120), wherein electrical network end (115) is made up of gate energy meter (103) and electrical network (137), grid-connecting apparatus (116) by K1, Combining inverter (101) and grid-connected electric energy meter (102) composition, off-network device (117) is by K2, off-network DC/DC controller (104) group Become, power prediction (121) is made up of powder prediction device (111) and communication unit (113), electric energy dispatch (118) by K0, K3, K4, K5, switch control unit (112), energy storage management system (106), AC/DC controller (105), off-network DC/AC controller (107) composition, load (120) is made up of DC load (108), AC load (109), system by photovoltaic cells, grid-connected, from Net, energy storage, power prediction, electric energy scheduling, load etc. organically combine into an entirety.
Embodiment two:
In distributed photovoltaic energy storage peak shaving system based on power prediction, distributed photovoltaic is based on grid-connected, and off-network is auxiliary, only When mains failure, for maximally utilizing distributed photovoltaic electric energy, distributed photovoltaic is just operated in off-network state, and K1 Guan Bi shows Electrical network is normal and distributed photovoltaic works or intends being operated in and net state, and K2 Guan Bi shows that electrical network has had a power failure and distributed photovoltaic work Making or intend to be operated in off-network state, even if K3, K5 Guan Bi also cannot be powered for downstream plant during K2 Guan Bi, K1, K2 are in office in definition When quarter is not simultaneously in closure state, and during K2 Guan Bi, in K3, K5, any one can not be closure state, and K4, K5 are any Moment is not simultaneously in closure state, and K3, K4 are not simultaneously in closure state, and 64 kinds of on off states that K0 ~ K5 is constituted are got rid of In above-mentioned definition after irrealizable on off state, remain 24 kinds of effective on off states.
In distributed photovoltaic energy storage peak shaving system based on power prediction, on off state that K0 ~ K5 is the most possible and switch State description as it is shown in fig. 7, wherein 0 represent inductive switch is off, 1 represent inductive switch is in closure state.Fig. 7 Be given is controlled switch K0 ~ all possible on off state of K5, and it is pre-by power which kind of on off state K0 ~ K5 currently should be in Surveying device (111) to determine according to the result of power prediction, specific implementation is as follows: passing through of powder prediction device (111) RS485 bus obtains photovoltaic cells history run and safeguards information, and DC load history run safeguards the power determined in information, future Distributed intelligence, AC load history run safeguards the power distribution information determined in information, future, the maintenance of energy storage device history run Information, current remaining capacity information, dispatching of power netwoks, power failure arrangement and timesharing time-of-use tariffs information, local photovoltaic generation history sample This information, local Weather Forecast Information etc., provide what K0 ~ K5 determined after the above-mentioned information of powder prediction device (111) integrated treatment On off state, and being opened or closed, to plan energy storage device in advance by switch control unit (112) control K0 ~ K5 switch Residual capacity completes electric energy scheduling.
In distributed photovoltaic energy storage peak shaving system based on power prediction, communication unit (113) can completion system and far-end Information exchange between server, but its main function is reception system installation ground photovoltaic generation historical sample information, function Approximating method and relevant parameter, and send it to powder prediction device (111) in order to matching photovoltaic generation power and meteorological letter The functional relationship of breath, powder prediction device (111) utilizes following Weather Forecast Information, the functional relationship of matching and photovoltaic cells The information such as history run maintenance information determine system photovoltaic generation power in future, collect simultaneously dispatching of power netwoks, have a power failure arrange and Timesharing time-of-use tariffs, the relevant information of the following power distribution of alternating current-direct current load and energy storage device residual capacity etc., by opening The state closing control unit (112) control K0 ~ K5 switch can complete following function: makes energy storage device in distributed photovoltaic its peak work Rate arrive before the enough memory capacity of advance reservation, generate power for their own use realizing distributed photovoltaic power generation 100%;Energy storage device is made to exist The enough capacity of deposit before having a power failure, to guarantee can to utilize after having a power failure depositing of the generating of distributed photovoltaic off-network and energy storage device self Storage capacity meets workload demand;Energy storage device is made to lay in appropriate electric energy when low ebb electricity price, it is ensured that future load utilizes photovoltaic Generating and the electricity that prestores obtain maximum gain.
In present case, generate power for their own use for realizing distributed photovoltaic power generation 100%, carry out the detailed process of electric energy scheduling in advance As follows: powder prediction device (111) prediction obtains following photovoltaic power generation quantity, load power consumption, and it is surplus to obtain current energy storage device Remaining electricity, then judges whether following photovoltaic power generation quantity is more than future load power consumption, if it is not greater, then K0 ~ K5's is current On off state all can keep constant or be switched to the on off state making the holding of energy storage device current capacities constant, otherwise, then enters one Can step judge to utilize accumulator all absorb photovoltaic providing auxiliary power amount in the case of K0 ~ K5 on off state does not changes, If accumulator can absorb photovoltaic providing auxiliary power amount, then K0 ~ K5 current switch states can keep constant or be switched to make energy storage Device current capacities keeps constant on off state, and otherwise, K0 ~ K5 current switch states is switched to make energy storage device discharge in advance The state of capacity.The idiographic flow of this process refers to shown in Fig. 4.
In present case, full for the memory capacity realizing utilizing after having a power failure the generating of distributed photovoltaic off-network and energy storage device self Foot workload demand, the detailed process carrying out electric energy scheduling in advance is as follows: photovoltaic after powder prediction device (111) prediction power failure in future Generated energy, load power consumption, and obtain current energy storage device dump energy, photovoltaic power generation quantity and storage after then judging to have a power failure future Device current electric quantity sum whether can be more than following power failure afterload power consumption, if it is not greater, then the current switch shape of K0 ~ K5 State is switched to the state making energy storage device pass through civil power idle capacity in advance, and otherwise, the current switch states of K0 ~ K5 can keep not Become or be switched to the on off state making capacity of energy storing device holding constant.The idiographic flow of this process refers to shown in Fig. 5.
In present case, for realizing utilizing time-of-use tariffs peak load shifting function, carry out the detailed process of electric energy scheduling in advance such as Under: powder prediction device (111) first obtains current power price, and judges whether be currently peak times of power consumption electricity price, if It is currently not peak times of power consumption electricity price, then determines whether whether be currently low power consumption phase electricity price, if being not currently to use Whether electricity low ebb phase electricity price, then meet future load demand according to energy storage device residual capacity and following photovoltaic power generation quantity sum true Determine K0 ~ K5 current switch states, if being currently low power consumption phase electricity price, then adjust further storage electricity price low ebb phase electricity with The residual capacity that when the following photovoltaic dump energy of storage obtains maximum return, energy storage device should have, and determine that K0 ~ K5 is current On off state;If current just at peak times of power consumption, then judge that energy storage device discharges whether capacity copes with further The following possible period of want or need, if it is possible to the following possible period of want or need of reply, then K0 ~ K5 current switch states is switched to make energy storage device discharge The state of capacity is with saves energy, and energy storage device discharges capacity further it cannot be guaranteed that tackle the following possible period of want or need else if, Then K0 ~ K5 current switch states can keep constant or be switched to the on off state making capacity of energy storing device holding constant.This process Idiographic flow refer to shown in Fig. 6.
Embodiment three:
Distributed photovoltaic energy storage peak shaving system based on power prediction, its method provided is applicable to transform and has energy storage device Electric power system, such as communication base station electric power system, the electric power system etc. with standby UPS, is not changing original system electric power-feeding structure Under premise, increase luminous intensity distribution photovoltaic array (122), combining inverter (123), grid-connected electric energy meter (124), the control of off-network DC/DC by appropriate Device processed (125), communication unit (126), powder prediction device (127), switch control unit (128) and be used for realizing electric energy Controlled switch K6, K7, K8 etc. of scheduling, it is achieved meet the distributed photovoltaic energy storage peak shaving system of user's primary demand.Shown in Fig. 3 In systematic schematic diagram, dotted line frame is outside is standard traffic base station electric power system configuration figure, for utilizing the present invention to provide in dotted line frame Method transform this electric power system, need to increase the part joined or transform, its breaker in middle K8 is to open uncontrolled in former electric power system Pass replaces to controlled switch, and after above-mentioned transformation, primary standard communication base station electric power system upgrades to having dividing of power prediction function Cloth photovoltaic energy storage peak regulation system, can be greatly improved communication base station electric power system income level.
It should be noted that examples detailed above is only used to illustrate design and the implementation method of the present invention, it is therefore an objective to make this Skilled person understands the particular content of the present invention, it is possible to implement this invention like this, can not limit this with this The protection domain of invention.Therefore, all changes made according to the principle of the invention, design, shape or modification, all should contain at this In bright protection domain.

Claims (6)

1. distributed photovoltaic energy storage peak shaving system based on power prediction, it is characterised in that system by photovoltaic cells (100) and Net inverter (101), grid-connected electric energy meter (102), gate energy meter (103), electrical network (137), off-network DC/DC controller (104), AC/DC controller (105), energy storage management system (106), off-network DC/AC controller (107), DC load (108), exchange are born Lotus (109), energy storage device (110), powder prediction device (111), switch control unit (112), communication unit (113), controlled The compositions such as switch K0, K1, K2, K3, K4, K5;Photovoltaic cells (100) is connected with controlled switch K1, K2, combining inverter (101) Input be connected with controlled switch K1, combining inverter (101) output with grid-connected electric energy meter (102) input be connected, grid-connected electric energy Table (102) output is connected with gate energy meter (103), controlled switch K3, K5, and gate energy meter (103) output gets access to grid (137);Off-network DC/DC controller (104) input is connected with controlled switch K2, and its output is connected to energy storage management system (106) Input;AC/DC controller (105) input is connected with controlled switch K3, and its output is connected to the defeated of energy storage management system (106) Enter;The input of off-network DC/AC controller (107) is connected with the output of energy storage management system (106), its output and controlled switch K4 It is connected;Controlled switch K4, K5 are connected with AC load (109) after being connected near AC load (109) side;DC load (108) the K0 that enters through is connected with the output of energy storage management system (106);Energy storage device (110) and energy storage management system (106) it is joined directly together;The output of powder prediction device (111) is connected with switch control unit (112) input, its RS485/422 EBI by RS485/422 bus respectively with photovoltaic cells (100), energy storage device (110), DC load (108), exchange Load (109), gate energy meter (103), the RS485/422 EBI of communication unit (113) are connected.
2. distributed photovoltaic energy storage peak shaving system based on power prediction as claimed in claim 1, it is characterised in that whole system System can induction and conclusion be four-layer structure, and ground floor structure includes photovoltaic cells (114), second layer structure include electrical network end (115), Grid-connecting apparatus (116), off-network device (117), third layer structure includes that power prediction (121), electric energy dispatch (118), the 4th layer Structure includes energy storage device (119), load (120), and wherein electrical network end (115) is by gate energy meter (103) and electrical network (137) group Become, grid-connecting apparatus (116) is made up of K1, combining inverter (101) and grid-connected electric energy meter (102), off-network device (117) by K2, Off-network DC/DC controller (104) forms, and power prediction (121) is made up of powder prediction device (111) and communication unit (113), Electric energy scheduling (118) is by K0, K3, K4, K5, switch control unit (112), energy storage management system (106), AC/DC controller (105), off-network DC/AC controller (107) composition, load (120) is made up of DC load (108), AC load (109), is Unite and photovoltaic cells, grid-connected, off-network, energy storage, power prediction, electric energy scheduling, load etc. are organically combined into an entirety.
3. distributed photovoltaic energy storage peak shaving system based on power prediction as claimed in claim 1, it is characterised in that distributed Photovoltaic is based on grid-connected, and off-network is auxiliary, only when mains failure, for maximally utilizing distributed photovoltaic electric energy, and distributed light Volt is just operated in off-network state, and K1 Guan Bi shows that electrical network is normal and distributed photovoltaic works or intends being operated in and net state, and K2 closes Conjunction show electrical network had a power failure and distributed photovoltaic work or intend be operated in off-network state, even if K2 Guan Bi time K3, K5 close also without Method is that downstream plant is powered, and definition K1, K2 are not simultaneously in closure state at any time, any in K3, K5 during K2 Guan Bi One can not be closure state, and K4, K5 are not simultaneously in closure state at any time, and K3, K4 are not simultaneously in closed form State, in 64 kinds of on off states above-mentioned definition of eliminating that K0 ~ K5 is constituted after irrealizable on off state, remains 24 kinds and effectively opens Off status.
4. distributed photovoltaic energy storage peak shaving system based on power prediction, it is characterised in that passing through of powder prediction device (111) RS485 bus obtains photovoltaic cells history run and safeguards information, and DC load history run safeguards the power determined in information, future Distributed intelligence, AC load history run safeguards the power distribution information determined in information, future, the maintenance of energy storage device history run Information, current remaining capacity information, dispatching of power netwoks, power failure arrangement and timesharing time-of-use tariffs information, local photovoltaic generation history sample This information, local Weather Forecast Information etc., provide what K0 ~ K5 determined after the above-mentioned information of powder prediction device (111) integrated treatment On off state, and being opened or closed, to plan energy storage device in advance by switch control unit (112) control K0 ~ K5 switch Residual capacity completes electric energy scheduling.
5. the distributed photovoltaic energy storage peak shaving system based on power prediction as described in claim 1, claim 4, its feature Being, its communication unit comprised (113) can the information between completion system and far-end server exchange, but its main function It is that reception system installs ground photovoltaic generation historical sample information, Function Fitting method and relevant parameter, and sends it to power Prediction means (111) utilizes not in order to the functional relationship of matching photovoltaic generation power Yu weather information, powder prediction device (111) Carry out the information such as Weather Forecast Information, the functional relationship of matching and photovoltaic cells history run maintenance information to determine system future Photovoltaic generation power, collects dispatching of power netwoks, power failure arrangement and timesharing time-of-use tariffs simultaneously, the following power distribution of alternating current-direct current load And the relevant information of energy storage device residual capacity etc., the state being controlled K0 ~ K5 switch by switch control unit (112) can be complete Become following function: make the energy storage device memory capacity that advance reservation is enough before distributed photovoltaic peak power arrives, to realize Distributed photovoltaic power generation 100% is generated power for their own use;Energy storage device is made to lay in enough capacity before power failure, permissible to guarantee after having a power failure The memory capacity utilizing the generating of distributed photovoltaic off-network and energy storage device self meets workload demand;Make energy storage device at trough-electricity Appropriate electric energy is laid in, it is ensured that future load utilizes photovoltaic generation and the electricity that prestores to obtain maximum gain during valency.
6. distributed photovoltaic energy storage peak shaving system based on power prediction, it is characterised in that its method provided is applicable to transformation There is the electric power system of energy storage device, such as communication base station electric power system, the electric power system etc. with standby UPS, former not changing On the premise of system power supply structure, increase luminous intensity distribution photovoltaic array (122), combining inverter (123), grid-connected electric energy meter by appropriate (124), off-network DC/DC controller (125), communication unit (126), powder prediction device (127), switch control unit (128), And for realizing controlled switch K6, K7, K8 etc. of electric energy scheduling, it is achieved meet the distributed photovoltaic energy storage of user's primary demand Peak regulation system.
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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106505629A (en) * 2016-12-30 2017-03-15 国网山西省电力公司太原供电公司 A kind of photovoltaic generating system and management method
CN106786566A (en) * 2017-03-01 2017-05-31 安徽工程大学 Photovoltaic plant power supply dispatching system and method
CN108599146A (en) * 2018-04-09 2018-09-28 华南理工大学 Consider the family's photovoltaic and battery energy storage system capacity collocation method of step price
CN109256802A (en) * 2018-10-08 2019-01-22 南京千智电气科技有限公司 A kind of peak regulation method for controlling power supply and device
CN109742777A (en) * 2019-03-04 2019-05-10 曹麾 Low-voltage platform area peak load balance intelligence control subsystem
CN109842140A (en) * 2019-03-04 2019-06-04 曹麾 High-voltage distribution network peak load balances intelligent management-control method
CN110768241A (en) * 2019-10-29 2020-02-07 图灵人工智能研究院(南京)有限公司 Control data processing and control system and method for energy storage device, equipment and medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120181974A1 (en) * 2009-09-29 2012-07-19 Panasonic Corporation Electric power management system
CN102931676A (en) * 2011-08-11 2013-02-13 周锡卫 Structure and method for solar power grid-connection self-use multi-functional system
CN104052082A (en) * 2014-06-25 2014-09-17 国家电网公司 Off-grid and grid-connected operation light and storage joint power supply system
CN104638682A (en) * 2015-03-12 2015-05-20 成都鼎智汇科技有限公司 Battery energy-storage power station based on power predication
CN206164107U (en) * 2016-07-20 2017-05-10 姜宪明 Distributing type photovoltaic energy storage battery peak shaving system based on power prediction

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120181974A1 (en) * 2009-09-29 2012-07-19 Panasonic Corporation Electric power management system
CN102931676A (en) * 2011-08-11 2013-02-13 周锡卫 Structure and method for solar power grid-connection self-use multi-functional system
CN104052082A (en) * 2014-06-25 2014-09-17 国家电网公司 Off-grid and grid-connected operation light and storage joint power supply system
CN104638682A (en) * 2015-03-12 2015-05-20 成都鼎智汇科技有限公司 Battery energy-storage power station based on power predication
CN206164107U (en) * 2016-07-20 2017-05-10 姜宪明 Distributing type photovoltaic energy storage battery peak shaving system based on power prediction

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106505629A (en) * 2016-12-30 2017-03-15 国网山西省电力公司太原供电公司 A kind of photovoltaic generating system and management method
CN106786566A (en) * 2017-03-01 2017-05-31 安徽工程大学 Photovoltaic plant power supply dispatching system and method
CN106786566B (en) * 2017-03-01 2019-05-10 安徽工程大学 Photovoltaic plant power supply dispatching system and method
CN108599146A (en) * 2018-04-09 2018-09-28 华南理工大学 Consider the family's photovoltaic and battery energy storage system capacity collocation method of step price
CN108599146B (en) * 2018-04-09 2021-09-21 华南理工大学 Method for configuring capacity of household photovoltaic and battery energy storage system by considering stepped electricity price
CN109256802A (en) * 2018-10-08 2019-01-22 南京千智电气科技有限公司 A kind of peak regulation method for controlling power supply and device
CN109742777A (en) * 2019-03-04 2019-05-10 曹麾 Low-voltage platform area peak load balance intelligence control subsystem
CN109842140A (en) * 2019-03-04 2019-06-04 曹麾 High-voltage distribution network peak load balances intelligent management-control method
CN110768241A (en) * 2019-10-29 2020-02-07 图灵人工智能研究院(南京)有限公司 Control data processing and control system and method for energy storage device, equipment and medium

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