CN104821600A - Flexible grid-connected scheduling algorithm for distributed wind and photovoltaic hybrid power generation system - Google Patents
Flexible grid-connected scheduling algorithm for distributed wind and photovoltaic hybrid power generation system Download PDFInfo
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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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- 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
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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- H02J3/386—
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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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
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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
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
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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
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- 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
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/76—Power conversion electric or electronic aspects
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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
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- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
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Abstract
The invention discloses a flexible grid-connected scheduling algorithm for a distributed wind and photovoltaic hybrid power generation system. The method comprises the steps: comparing a wind and photovoltaic productivity predicted value and a load demand predicted value from a previous stage with the respective actual monitoring value; adjusting a prediction error; predicting the wind and photovoltaic productivity and load demand of the next stage; taking the wind and photovoltaic productivity predicted value and the load demand predicted value as the scheduling basis, and judging the grid-connected demands through combining the current charge state of a battery. The method makes the most of wind and photovoltaic production, enables a user to obtain benefits, and improves the power supply reliability of a load. The method combines the load prediction and wind and photovoltaic productivity prediction of a public power grid, gives the consideration to the load demands of a local time period, achieves the reasonable planning of the charging and discharging of the battery, achieves the cutting of a peak and the filling of a valley, guarantees a peak time period of the power grid, achieves the supply of power to a local load through the energy storage and wind and photovoltaic combination, alleviates the pressure of the power grid, and reduces the cost of the public power grid.
Description
Technical field
The present invention relates to the flexible grid-connected dispatching algorithm of a kind of distributed wind and solar hybrid generating system.
Background technology
As novel fungible energy source, Miniature wind light complementary system is usually used in piconet island operational mode, also promotes the use of as distributed generation technology in small population building, in recent years, traditional energy lacks day by day, brings various impact to each side such as people's life and productions.As two new forms of energy most in application with Development volue--photovoltaic generation and wind power generation are successively born.Its study and use can solve energy disappearance to a certain extent and traditional energy uses the problem of environmental pollution caused, but its distinctive uncertainty and randomness, cause very large obstacle to its generating and need for electricity.Because wind energy and solar energy resources have intermittence and fluctuation property, independent centerized fusion or distributed AC servo system all respectively have shortcoming, the stand alone generating system of wind-force and photovoltaic generation is difficult to provide continuous and stable Energy transmission, prior art introduces the hybrid power system of storage battery and scene composition, utilize storage battery to the effect of output power curve peak load shifting, control power smooth and export.But, due to storage battery self-characteristic, such as life-span, limit the cost of wind and solar hybrid generating system, and efficiency etc.Existing achievement in research has the hybrid control structure of integrated distribution under employing reliability constraint, improves the efficiency of system.Also with good grounds wind speed in the past and solar radiation data, optimal probability density function carrys out prediction of wind speed and too can radiation to utilize Monte Carlo method to determine in each hour, thus reasonably configure the capacity of hybrid power system, improve reliability, reduce costs.Charge and discharge system and the discharge and recharge strategy of storage battery directly have influence on the life of storage battery, and therefore, the reliable and stable operation of accumulator cell charging and discharging control and management to wind and solar hybrid generating system is most important.In order to better meet consumers' demand, reach more efficient system effectiveness, just must using human nature and reliable control system more as support, just can realize this goal to the flexible and efficient as far as possible control of the discharge and recharge of storage battery.
Summary of the invention
The object of the present invention is to provide a kind of honourable production capacity to be fully used, improve the flexible grid-connected dispatching algorithm of distributed wind and solar hybrid generating system of load power supply reliability.
Technical solution of the present invention is:
The flexible grid-connected dispatching algorithm of a kind of distributed wind and solar hybrid generating system, comprises the steps:
Step 1, according to charge and discharge control and the grid-connected conditions of wind-light complementary system, the flexible grid-connected system hardware composition of distributed wind light mutual complementing is made up of five functional block, from energy flow to angle, divides as follows: one is that wind light mutual complementing power generation is to this complete energy transmission system of load electricity consumption; It is two for wind and solar hybrid generating system is to the energy transmission system of energy-storage battery energy storage; It is three for utility network is to the energy transmission system of load; It four is bidirectional electric energy transmission system between electrical network and energy-storage battery; Its five energy transmission system generated electricity by way of merging two or more grid systems for wind and solar hybrid generating system; The energy flow distribution situation that can be realized by the flexible grid-connected dispatching algorithm of distributed wind and solar hybrid generating system, according to hardware configuration composition in the local setting data collection point of necessity.
Step 2, from network operation, can meet local load operation under wind and solar hybrid generating system normal condition.The surplus of generating production capacity part can to energy-storage battery charging energy-storing.When production capacity is too high, when battery charge state is full of, when guaranteed load normally works, start and be incorporated into the power networks to electrical network transmission of electric energy.Failure condition or honourable production capacity are low, and in the lower situation of battery charge state, load can grid-connected power taking;
Step 3, according to following 24 hourly load forecastings and capability forecasting situation, in conjunction with current energy-storage battery state-of-charge, interim planning battery energy storage and electric discharge behavior, the preparation of peak load shifting is carried out in the arrival for peak of power consumption.
Specifically also comprise the steps: according to step 2
Step 2-1: the premeasuring of combine closely honourable production capacity and customer charge dynamic need and actual monitoring amount, in conjunction with the state-of-charge monitoring situation of energy-storage battery, provides disconnection and the closure signal of grid-connected switch;
Step 2-2, dynamic monitoring line voltage and electric current, calculate active reactive, obtain line voltage, frequency, phase place, design net-connected controller, when ensureing grid-connected and the suitable phase place of electrical network and frequency and voltage, reliable grid connection.
According to the peak load shifting method described in step 3, at network load low-valley interval, according to following 24 hours public electric wire net load change situations and local load variations situation, wind light mutual complementing power generation situation, electricity consumption peak Distribution period, planning battery, in the interim behavior of the discharge and recharge of public electric wire net load valley period, selects low power consumption to supplement energy storage to battery as far as possible.When peak value prediction production capacity is a little less than workload demand, make full use of energy storage, supplementary power.
The present invention adopts technique scheme, has following beneficial effect:
(1) the flexible interconnection technology of distributed wind light mutual complementing power generation, honourable production capacity is fully used, and user benefits, and improves load power supply reliability;
(2) in conjunction with public electric wire net load prediction and honourable capability forecasting, consider the workload demand of local period, make rational planning for battery charging and discharging behavior, peak load shifting, alleviates electrical network pressure simultaneously, reduces public electric wire net cost of investment.
(3) scheduling strategy is closely in conjunction with battery charge state, and prevention super-charge super-discharge, extends the useful life of battery.
Accompanying drawing explanation
Below in conjunction with drawings and Examples, invention is described in detail:
Fig. 1 is the schematic flow sheet of the flexible grid-connected dispatching algorithm of a kind of distributed wind and solar hybrid generating system.
Fig. 2 is that under the flexible grid-connected dispatching algorithm of a kind of distributed wind and solar hybrid generating system, the some of energy flow move towards schematic diagram.
Fig. 3 is the hardware topology schematic diagram that the flexible grid-connected dispatching algorithm of a kind of distributed wind and solar hybrid generating system is implemented.
Fig. 4 is the flexible grid-connected dispatching algorithm battery charging and discharging stage planning schematic diagram of a kind of distributed wind and solar hybrid generating system.
Embodiment
Embodiment one:
As Fig. 1,2 one kinds of flexible grid-connected dispatching algorithms of distributed wind and solar hybrid generating system, comprise the steps.
Step 1, exports capability forecasting value and workload demand predicted value and respective actual monitoring value by scene of upper stage and compares, adjustment predicated error, predicts next stage scene output production capacity and workload demand;
Step 2, exports capability forecasting value by scene and workload demand is predicted as scheduling foundation, in conjunction with the current state-of-charge of battery, judges grid-connected demand.
When systems generate electricity production capacity is greater than power load demand, wind and solar hybrid generating system meets main power load, system from network operation, accumulators store system spare production capacity, system controller control energy flow as in Fig. 2 1. 2.; When storage battery charge state reaches 0.8, grid-connected to electrical network delivery of energy, system controller control energy flow as in Fig. 2 1. 2. 3.;
When power load demand is greater than systems generate electricity production capacity, wind and solar hybrid generating system can not meet need for electricity, is powered by storage battery and systematic collaboration, system controller control energy flow as in Fig. 2 1. 5.; When storage battery charge state is down to 0.2, starts and grid-connectedly to be worked in coordination with to local load energy supply by electrical network and wind and light generating system.System controller control energy flow as in Fig. 2 1. 6.; If at low power consumption, storage battery grid-connected charging simultaneously.System controller control energy flow as in Fig. 2 1. 6. 7.;
When power load demand equals systems generate electricity production capacity, by wind and solar hybrid generating system from the local electric load of net supply, now do not charge and do not discharge, not grid-connected yet.System controller control energy flow as in Fig. 2 1.;
Continuous overcast and rainy calm weather, system grid connection provides regulated power by electrical network; System controller control energy flow as in Fig. 2 6.;
Step 3, enters next sampling instant, repeats step 1 to step 2.
Specific embodiment two:
As an optimal enforcement example of specific embodiment one, step 2 as shown in Figure 4, specifically comprises the steps:
Step 1, the network load prediction in certain 24 hours and honourable capability forecasting and the requirement forecasting that meets of local, network load peak value is positioned at t
4-t
5between, load valley is positioned at 0-t
2between, the public electric wire net load peak period in figure, wind light mutual complementing power supply area workload demand is greater than honourable production capacity, calculates the prediction difference of the local load of electrical network peak period and generating production capacity.
Step 2, before the electrical network low power consumption time arrives, according to prediction, honourable aggregated capacity between statistics network load low-valley interval to load peak period (containing peak period) and the quantitative relation between load aggregate demand, if the relationship delta P between distributed power generation production capacity and local workload demand
bEt=P
bt-P
et, right
between period, between Partial discharge production capacity and aggregate demand, difference does a statistics, and positive negative energy can be offset;
Step 3, according to the positive and negative situation of ∑ Δ P, for dealing with one's respective area load operation normal demand peak period, to electrical network low-valley interval 0-t
2battery behavior is made rational planning for.If ∑ Δ P > 0, illustrate that the energy storage of battery before peak value arrives is enough to provide peak value local workload demand; If ∑ Δ P < 0, illustrate that battery energy storage before load electricity consumption peak value arrives is not enough to the need for electricity in supplementary load peak period, need to plan charging in advance, so in the low power consumption period, the corresponding energy of at least grid-connected charging ∑ Δ P, guarantees that network load peak time local load is reliable independent of network operation.
Step 4, enters next 24 hours interim battery conduct programming, repeats step 1,2,3.
Above t
krepresent the k moment, t
lrepresent the L moment.P
gtrepresent t wind light mutual complementing power generation aggregated capacity, P
ltrepresent t load aggregate demand, Δ P
bEtrepresent the difference of t wind light mutual complementing power generation aggregated capacity and load aggregate demand.∑ Δ P represents the honourable production capacity of k to L period and the summation of load aggregate demand residual quantity (containing positive and negative).
The hardware topology that specific embodiment 1,2 relates to is as shown in Figure 3: wind and solar hybrid generating system connects local load by DC/AC transducer and powers, and energy-storage battery enters at DC bus side joint, and grid-connected end is arranged on load and converter junction.In figure display to realize effectively scheduling must according to the following steps:
Step 1, lays monitoring equipment respectively at wind light mutual complementing direct current serial port, energy storage output port, load side, electrical network end, dynamic monitoring wind light generation production capacity, energy storage charge state, workload demand, electrical network parameter;
Step 2, according to each each monitoring variable, according to concrete enforcement one, the concrete control algolithm implemented in two, grid-connected by the grid-connected intelligent controller control overhead in figure, current transformer triggering signal and battery energy storage behavior.
The present invention adopts technique scheme, has following beneficial effect:
(1) the flexible interconnection technology of distributed wind light mutual complementing power generation, honourable production capacity is fully used, and user benefits, and improves load power supply reliability;
(2) in conjunction with public electric wire net load prediction and honourable capability forecasting, consider the workload demand of local period simultaneously, battery charging and discharging behavior is made rational planning for, peak load shifting, guarantee electrical network peak period, by energy storage and honourable joint supply localised load, alleviate electrical network pressure, reduce public electric wire net cost of investment.
(3) scheduling strategy is closely in conjunction with battery charge state, and prevention super-charge super-discharge, extends the useful life of battery.
Claims (2)
1. the flexible grid-connected dispatching algorithm of distributed wind and solar hybrid generating system, is characterized in that: comprise the steps:
(1) export capability forecasting value and workload demand predicted value and respective actual monitoring value by scene of upper stage to compare, adjustment predicated error, next stage scene output production capacity and workload demand are predicted;
(2) export capability forecasting value and workload demand prediction conduct scheduling foundation by scene, in conjunction with the current state-of-charge of battery, judge grid-connected demand;
When systems generate electricity production capacity is greater than power load demand, wind and solar hybrid generating system meets main power load, system from network operation, accumulators store system spare production capacity; When storage battery charge state reaches 0.8, grid-connected to electrical network delivery of energy;
When power load demand is greater than systems generate electricity production capacity, wind and solar hybrid generating system can not meet need for electricity, is powered by storage battery and systematic collaboration; When storage battery charge state is down to 0.2, starts and grid-connectedly work in coordination with to local load energy supply by electrical network and wind and light generating system; If at low power consumption, storage battery grid-connected charging simultaneously;
When power load demand equals systems generate electricity production capacity, by wind and solar hybrid generating system from the local electric load of net supply, now do not charge and do not discharge, not grid-connected yet;
Continuous overcast and rainy calm weather, system grid connection provides regulated power by electrical network;
(3) enter next sampling instant, repeat step (1), (2).
2. the flexible grid-connected dispatching algorithm of distributed wind and solar hybrid generating system according to claim 1, is characterized in that: comprise the steps:
Network load prediction in (1) 24 hour and honourable capability forecasting and the requirement forecasting that meets of local, network load peak value is positioned at
between, load valley is positioned at 0-t
2between, the public electric wire net load peak period, wind light mutual complementing power supply area workload demand is greater than honourable production capacity, calculates the prediction difference of the local load of electrical network peak period and generating production capacity;
(2) before the electrical network low power consumption time arrives, according to prediction, honourable aggregated capacity between statistics network load low-valley interval to load peak period and the quantitative relation between load aggregate demand, if the relation between distributed power generation production capacity and local workload demand
right
between period, between Partial discharge production capacity and aggregate demand, difference does a statistics, and positive negative energy can be offset;
(3) according to the positive and negative situation of Σ Δ P, for dealing with one's respective area load operation normal demand peak period, to electrical network low-valley interval 0-t
2battery behavior is made rational planning for; If Σ Δ P > 0, illustrate that the energy storage of battery before peak value arrives is enough to provide peak value local workload demand; If Σ Δ P < 0, illustrate that battery energy storage before load electricity consumption peak value arrives is not enough to the need for electricity in supplementary load peak period, need to plan charging in advance, so in the low power consumption period, the corresponding energy of at least grid-connected charging Σ Δ P, guarantees that network load peak time local load is reliable independent of network operation;
(4) enter next 24 hours interim battery conduct programming, repeat step (1), (2), (3).
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| CN105552952A (en) * | 2015-12-10 | 2016-05-04 | 国网上海市电力公司 | Photovoltaic-energy storage hybrid power generation system and energy management method therefor |
| FR3044139A1 (en) * | 2015-11-25 | 2017-05-26 | Electricite De France | METHOD FOR DETERMINING THE RESIDUAL DEMAND ADDRESSED TO A POWER GENERATION PARK |
| CN107612024A (en) * | 2017-09-12 | 2018-01-19 | 国网吉林省电力有限公司 | A kind of grid-connected dispatching method of new energy power station |
| CN108960642A (en) * | 2018-07-10 | 2018-12-07 | 新疆大学 | A kind of new energy power plant dynamic aggregation method and system |
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| CN115118589A (en) * | 2022-06-29 | 2022-09-27 | 广东电网有限责任公司 | Grid-connected rapid configuration method and system for power distribution network switch |
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| CN106549415A (en) | 2017-03-29 |
| CN104821600B (en) | 2017-02-22 |
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