CN105811468A - Distributed photovoltaic power generation intelligent control and transporting system for data collection arithmetic - Google Patents
Distributed photovoltaic power generation intelligent control and transporting system for data collection arithmetic Download PDFInfo
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- CN105811468A CN105811468A CN201610348026.4A CN201610348026A CN105811468A CN 105811468 A CN105811468 A CN 105811468A CN 201610348026 A CN201610348026 A CN 201610348026A CN 105811468 A CN105811468 A CN 105811468A
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- 238000010248 power generation Methods 0.000 title claims abstract description 29
- 238000013480 data collection Methods 0.000 title abstract description 8
- 238000004146 energy storage Methods 0.000 claims abstract description 57
- 230000005611 electricity Effects 0.000 abstract description 55
- 238000007599 discharging Methods 0.000 abstract description 4
- 238000004519 manufacturing process Methods 0.000 abstract description 4
- 238000005265 energy consumption Methods 0.000 abstract 1
- 230000000694 effects Effects 0.000 description 3
- 230000005855 radiation Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 1
- 238000011217 control strategy Methods 0.000 description 1
- 238000006477 desulfuration reaction Methods 0.000 description 1
- 230000023556 desulfurization Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
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Classifications
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- H02J3/383—
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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- Y—GENERAL 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
- 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
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- Y—GENERAL 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
- 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 non-fossil origin
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/20—Climate change mitigation technologies for sector-wide applications using renewable energy
Abstract
Disclosed is a distributed photovoltaic power generation intelligent control and transporting system for data collection arithmetic.An energy storage device and a central data collection arithmetic unit are added in an existing distributed photovoltaic power generation system, by collecting electric data for enterprise production, power generation data of a photovoltaic power generation unit, energy storage data of an energy storage device and power-grid real-time peak valley electrovalence data, the central data collection arithmetic unit performs arithmetic analysis on the data according to the principle of electric energy consumption expenditure minimization and income maximization, connection and disconnection among the photovoltaic power generation unit, the energy storage device, the power grid and user loads are controlled in real time, the most economic output scheme of the photovoltaic power generation unit and the best charging and discharging moment of the energy storage device are determined, charging during low electricity price and discharging during high electricity price are achieved, and economic benefits of the whole power generation system are improved.
Description
Technical field
The present invention relates to distributed photovoltaic power generation system, particularly relate to the distributed photovoltaic power generation intelligence control fortune system of a kind of data acquisition computing.
Background technology
Photovoltaic generation is the new industry that power industry is important, and distributed photovoltaic power generation is the main Types of photovoltaic generation, and intelligent power network is the developing direction that electrical network is following.During 13, distributed photovoltaic power generation system and intelligent grid are all the important development industries that country encourages energetically.
Photovoltaic generation is a kind of photovoltaic effect utilizing solar cell semiconductor material, and solar radiation can be converted directly into a kind of new power generating system of electric energy.Distributed photovoltaic power generation system advocates generating nearby, nearby grid-connected, the principle that uses nearby, effectively solves electric power power consumption in long-distance conveying, is the important directions of future source of energy development.But traditional distributed photovoltaic generating system is all adopt to generate power for their own use, the pattern of remaining electricity online or online in full, the electricity of photovoltaic generation is preferentially dissolved by local load in such a mode, and when not dissolving, just input electrical network is connected to the grid.
According to national existing encouragement photovoltaic application policy of rewards, generating power for their own use, under remaining electricity online and online pattern in full, electricity price subsidy standard is as follows:
First, subsidy patterns of generating power for their own use: business electrical electricity price+0.42 yuan/kWh of public subsidies
Second, remaining electricity online subsidy patterns: the desulfurization stake electrovalence price of electrical network (power plant sell) 0.42 yuan/kWh of+public subsidies
3rd, electricity price standard is formulated in online unification of the motherland in full, the 0.8 yuan/kWh in current light resources one class area, the two 0.88 yuan/kWh in class area, the three 0.98 yuan/kWh in class area.
And city's supply price is divided into peak electricity, ordinary telegram and paddy three kinds of different prices of electricity, its peak electricity price lattice are the highest, and paddy electricity is minimum.Paddy electricity price lattice are at 0.3 yuan/about kWh.
According to above-mentioned electricity price subsidy policy it is found that when enterprise generate power for their own use electricity less time, instead electricity price does not fully surf the Net height.Country's distributed photovoltaic power generation scheme that promotion is generated power for their own use energetically at present, remaining electricity is surfed the Net, is also the direction of following distributed energy development.Have how the unit providing photovoltaic generating system for oneself economically solves generate electricity by way of merging two or more grid systems and use, make the maximization of multiple step format power benefit, this is each multiple step format photovoltaic generating system economy problems in consideration, and it is the key technology difficult problem promoting distributed photovoltaic power generation development.
Existing multiple step format photovoltaic generating system is as shown in Figure 1, it includes the photovoltaic generation unit 1 being made up of some pieces of solar modules, intelligent inverter 2, photovoltaic controller 3, electrical network 4, user load 5, power network switch K1 and subscriber switch K2, photovoltaic generation unit 1, it is connected with electrical network 4 by power network switch K1 after intelligent inverter 2 series connection, it is connected with user load 5 by subscriber switch K2, wherein power network switch K1 and subscriber switch K2 is controlled by photovoltaic controller 3, electricity that this multiple step format photovoltaic generating system sends or personal, grid-connected, user only has two options, economic benefit and the size of user load that enterprise obtains have direct relation.The economical operation benefit of this multiple step format photovoltaic generating system has direct relation with user load fluctuation, it is impossible to utilize the space that Pinggu, electrical network peak electricity price difference earns a profit.The economic benefit of existing multiple step format photovoltaic plant is difficult to improve.
Summary of the invention:
It is an object of the invention to provide the distributed photovoltaic power generation intelligence control fortune system of a kind of data acquisition computing, existing distributed photovoltaic power generation system increases energy storage device and central data gathers arithmetical unit, central data gathers arithmetical unit by collecting enterprise's productive power data, the generating data (light radiation data) of photovoltaic generation unit, the energy storage data of energy storage device, electrical network real-time peak Pinggu electricity price data, minimize according to power consumption expenditure, data above is carried out operational analysis by the principle of revenus maximization, control photovoltaic generation unit in real time, energy storage device, connection between electrical network and user load and closedown, determine the best discharge and recharge opportunity of the most economical output scheme of photovoltaic generation unit and energy storage device, accomplish charging during low electricity price, discharge during high electricity price, promote the economic benefit of whole electricity generation system.
The present invention adopts the technical scheme that:
A kind of distributed photovoltaic power generation intelligence control fortune system of data acquisition computing, it is characterized in that: the photovoltaic generation unit that includes being made up of solar module, intelligent inverter, electrical network, user load, energy storage device, central data gather arithmetical unit, power network switch, subscriber switch, inverter switching device, energy storage switch, it is connected with electrical network by inverter switching device, power network switch after the series connection of photovoltaic generation unit, intelligent inverter, energy storage device is connected with user load by energy storage switch, subscriber switch, and power network switch and subscriber switch are connected in parallel；Photovoltaic generation unit, intelligent inverter, electrical network, user load, energy storage device all gather with central data has signal conveying to be connected arithmetical unit；Central data gathers and controls power network switch, subscriber switch, inverter switching device and energy storage switch arithmetical unit.
In the present invention, central data gathers arithmetic and control unit can to user load, photovoltaic generation unit, energy storage device and electrical network Spot Price carry out data acquisition, and it is minimum according to electricity rates, the principle that grid-connected price is the highest carries out computing, determine the output of photovoltaic generation unit and discharging when filling of energy storage device in real time, photovoltaic generating system adds energy storage device, multiple step format photovoltaic generating system is made to have electric energy money saving function, arithmetic and control unit is gathered to load by central data, electrical network, energy storage device and distributed photovoltaic power generation system carry out most economical computing and plan as a whole, thus improving power supply continuity and the economic benefit of distributed photovoltaic power generation system.
When solar radiation intensity reaches the minimum job requirement of solar module, solar module generation photovoltaic effect produces unidirectional current, DC voltage level is made to raise by photovoltaic module series connection, thus reducing transmission loss, save cost, unidirectional current is sent by Intelligent photovoltaic inverter, arithmetic and control unit detection user load is gathered by central data, the duty of electrical network and energy storage device, and the productive power amount that the mode processed by big data is to user load, the generated energy of photovoltaic generation unit and the stored energy capacitance of electric storage device are predicted, change in conjunction with electrical network step price, with optimum economic benefit for evaluation criterion, determine user load, the power consumption mode of photovoltaic generation unit and the charge and discharge system of energy-storage battery.
Such as: when the generated energy of photovoltaic generation unit is more than the power consumption of user load, energy storage device is in Light Condition, present period is in peak electricity electricity price, central data collection arithmetic and control unit predicts load within following several hours according to production law and the production schedule and is constantly in higher state, predict again photovoltaic power generation quantity to drop and be gradually lowered simultaneously, user load user demand can not be met, under current state, energy storage device will be preferentially charged by the unnecessary electricity of photovoltaic generation, when the lower power production of photovoltaic generation unit, with energy storage device, user load electricity consumption is supplemented again.Also can reduce if central data collection arithmetic and control unit predicts following several hours user loads, simultaneously quickly will to paddy electricity rate period, then energy storage device is not charged, and the pattern being by remaining electricity online is operated, energy storage device is charged by power grid electric until paddy electricity electricity price.
The present invention is by load statistics and luminous power prediction, in conjunction with Spot Price, photovoltaic generating system is carried out Based Intelligent Control, when peak value electricity price, utilize photovoltaic power generation quantity and energy-storage battery electricity as far as possible, during trough electricity price, electrical network is utilized to charge for energy-storage battery, loading demand during in order to peak value electricity price, during level values electricity price, unnecessary electricity is stored in advance, use when peak value electricity price, accomplish " to deposit electricity at a low price, high price is sent ", it is really achieved the purpose of Economic optimization, thus improving the economical operation benefit of multiple step format photovoltaic generating system, shorten photovoltaic generating system investment cycle.This multiple step format photovoltaic generating system is particularly suitable for multiple generating power for their own use, the allotment of most economical Utilization plan between photovoltaic generation unit and user load in substep photovoltaic generating system group under remaining electricity online pattern.
Accompanying drawing illustrates:
Fig. 1 is the fundamental diagram of existing photovoltaic distributed generation system；
Fig. 2 is the fundamental diagram of the present invention；
In figure: 1-photovoltaic generation unit；2-intelligent inverter；3-photovoltaic controller；4-electrical network；5-electric loading；6-energy storage device；7-central data gathers arithmetical unit；K1-power network switch；K2-subscriber switch；K3-inverter switching device；K4-energy storage switchs.
Detailed description of the invention
The specific embodiment of the present invention is illustrated below in conjunction with accompanying drawing:
A kind of distributed photovoltaic power generation intelligence control fortune system of data acquisition computing, as shown in Figure 2, it includes the photovoltaic generation unit 1 being made up of solar module, intelligent inverter 2, electrical network 4, user load 5, energy storage device 6, central data gathers arithmetical unit 7, power network switch K1, subscriber switch K2, inverter switching device K3, energy storage switch K4, photovoltaic generation unit 1, it is connected with electrical network 4 with power network switch K1 by inverter switching device K3 after intelligent inverter 2 series connection, energy storage device 6 is connected with user load 5 with subscriber switch K2 by energy storage switch K4, power network switch K1 and subscriber switch K2 is connected in parallel；Photovoltaic generation unit 1, electrical network 4, user load 5, energy storage device 6 are all connected with central data collection signal arithmetical unit 7；Central data gathers and controls power network switch K1, subscriber switch K2, inverter switching device K3 and energy storage switch K4 arithmetical unit 7.
In the present invention, central data gathers arithmetic and control unit 7 can to user load 4, photovoltaic generation unit 1, energy storage device 6 and electrical network 4 Spot Price carry out data acquisition, and according to electricity consumption lowest price, the principle of grid-connected highest price carries out computing, determine the output of photovoltaic generation unit 1 and discharging when filling of energy storage device 6 in real time, photovoltaic generating system adds energy storage device, arithmetic and control unit 7 is gathered to user load 5 by central data, electrical network 4, energy storage device 6 and distributed photovoltaic power generation system carry out computing pool, improve power supply continuity and the economic benefit of distributed photovoltaic power generation system.
Specific works principle is: when sunlight is irradiated on every piece of photovoltaic module in photovoltaic generation unit 1, photovoltaic module produces DC current due to photovoltaic effect, multiple photovoltaic modulies access intelligent inverter 2 after direct current confluxes, central data gathers and detects when intelligent inverter 2 has electric current to export arithmetical unit 7, detect electrical network 4 simultaneously, use electric loading 5 and electrical network Spot Price situation, comprehensively determine control mode.
During peak value electricity price, if photovoltaic power generation quantity is more than load power consumption, central data gathers arithmetic and control unit and controls inverter switching device K3, power network switch K1 and subscriber switch K2 Guan Bi, and energy storage switch K4 disconnects, powered for user load 5 by photovoltaic generation unit 1, and remaining electricity is fully surfed the Net；If photovoltaic power generation quantity is less than the power consumption of user load 5, then Guan Bi power network switch K1 and subscriber switch K2, part electric energy is provided for user load 5 by photovoltaic generation unit 1, then the electricity of energy storage device is detected, if electric energy is enough, control energy storage switch K4 Guan Bi, thered is provided all the other electricity by energy storage device 6, otherwise provided by electrical network.
During trough electricity price, photovoltaic generation unit 1 does not generate electricity substantially, and central data collection arithmetic and control unit 7 controls power network switch 1 and load switch 2 closes, and user load 5 power consumption is provided by electrical network 4；If now the storage capacitance of energy storage device 6 is not enough, then Guan Bi energy storage switch K4, utilizes electrical network 4 to charge for energy storage device 6, to power for user load 5 when the peak value electricity price.
During level values electricity price, if the generated energy of photovoltaic generation unit 1 more than user load with 5 consumption electricity, central data gathers arithmetic and control unit 7 and controls inverter switching device K3, energy storage switch K4 and subscriber switch K2, is that user load 5 is powered by photovoltaic generation unit, and remaining electricity is that energy storage device 6 charges, energy storage switch K4 is disconnected after being full of, closed user switch K2, remaining electricity online；If the generated energy of photovoltaic generation unit 1 is less than the power consumption of user load 5, controlling inverter switching device K3, power network switch 1 and load switch 2 and close, photovoltaic generation unit 1 provide part electric energy for user load 5, all the other electric energy are provided by electrical network 4.
Whole system is gathered arithmetic and control unit 7 by central data and plans as a whole, comprehensive Spot Price situation, Optimal Control Strategy, maximum economic benefit.
Claims (1)
1. the distributed photovoltaic power generation intelligence control fortune system of a data acquisition computing, it is characterized in that: include the photovoltaic generation unit (1) being made up of solar module, intelligent inverter (2), electrical network (4), user load (5), energy storage device (6), central data gathers arithmetical unit (7), power network switch (K1), subscriber switch (K2), inverter switching device (K3), energy storage switch (K4), photovoltaic generation unit (1), by inverter switching device (K3) after intelligent inverter (2) series connection, power network switch (K1) is connected with electrical network (4), energy storage device (6) switchs (K4) by energy storage, subscriber switch (K2) is connected with user load (5), power network switch (K1) and subscriber switch (K2) are connected in parallel；Photovoltaic generation unit (1), intelligent inverter (2), electrical network (4), user load (5), energy storage device (6) all gather with central data has signal conveying to be connected arithmetical unit (7)；Central data gathers and controls power network switch (K1), subscriber switch (K2), inverter switching device (K3) and energy storage switch (K4) arithmetical unit (7).
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| CN110429624A (en) * | 2019-08-12 | 2019-11-08 | 万克能源科技有限公司 | A kind of energy accumulation capacity configuration applied to data center's energy-storage system |
| CN117559520A (en) * | 2023-11-02 | 2024-02-13 | 中国能源建设集团广东火电工程有限公司 | Distributed photovoltaic and energy storage combined planning system and method |
| CN117613983A (en) * | 2024-01-23 | 2024-02-27 | 国网冀北电力有限公司 | Energy storage charge and discharge control decision method and device based on fusion rule reinforcement learning |
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