CN106953315A - User side grid type light stores up integral system capacity optimization software algorithm - Google Patents
User side grid type light stores up integral system capacity optimization software algorithm Download PDFInfo
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- CN106953315A CN106953315A CN201710031219.1A CN201710031219A CN106953315A CN 106953315 A CN106953315 A CN 106953315A CN 201710031219 A CN201710031219 A CN 201710031219A CN 106953315 A CN106953315 A CN 106953315A
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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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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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
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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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
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Abstract
Integral system capacity optimization software algorithm is stored up present invention relates to user side grid type light, it is characterized in that：It is divided into following steps：1) input is set and exports and simulation parameter is set, need the annual tou power price of input user, timesharing load, corresponding timesharing intensity of illumination, transformer capacity and maximum demand power, photovoltaic energy storage unit price and maintenance cost etc., need electric cost before and after output optimization, including the civil power electricity charge and fixed cost etc.；2) write energy storage discharge and recharge logic judgment condition, with realize photovoltaic maximize dissolve, the reduction of the peak load shifting of civil power electricity consumption and requirement/electrical capacity charge；3) software program code is write, realizes that the automatic cycle of program is called.4) operation program finds out economy optimum combination, and allocation optimum is selected with reference to user power utilization characteristic.
Description
Technical field
The invention belongs to power generation applications software field, it is related to a kind of capacity optimization of the integrated micro-grid system of user's sidelight storage
Configuration and economy calculate software algorithm.
Background technology
With society fast-developing new energy in energy resource system proportion it is increasing, miniaturization, modularization, divide
Dissipate formula, be arranged near user and popularizing installation for the compact electrical generating systems of customer power supply, distributed generation technology by with
Bulk power grid connection provides the user stabilization, the supply of reliable electric energy, and the energy off-grid operation in bulk power grid failure, it is ensured that supply
The continuity and the high quality of power supply of electricity.It is the preferable solution of energy scarcity and environmental pollution.
The regenerative resources such as solar energy power generating with its it is inexhaustible the characteristics of, receive extensive concern.
Photovoltaic generating system ratio shared in microgrid also more comes also high.But there is randomness and fluctuation in independent photovoltaic generating system
The shortcomings of property, when its permeability is larger, the safe and stable operation of micro-capacitance sensor will be influenceed.In order to solve photovoltaic generation and energy storage
The problems such as power-balance, stability in the micro-grid system of composition and the quality of power supply, it is necessary to be equipped with power output more stable
Energy-storage system, and according to predetermined control strategy, realize the equilibrium,transient of micro-grid system internal energy, realize photovoltaic energy storage
The stable operation of micro-capacitance sensor.
Energy storage smoothly photovoltaic generation can exert oneself, moreover it is possible to play the work of peak load shifting as a kind of energy accumulating device
With, especially in Peak-valley TOU power price, can make full use of photovoltaic generation electric energy so as to as far as possible realize locally dissolve, moreover it is possible to be
User saves electricity cost.
Conventional photovoltaic generation simulation software, be utilize local photometric data, according to the installation site of photovoltaic generating system,
Mounting means etc. calculates the generated energy of photovoltaic generating system, calculates economy according to local subsidy policy, instructs user's light
The selection and installation of photovoltaic generating system.
The content of the invention
The present invention provides user side grid type light storage integral system capacity optimization software algorithm.Light is installed for user's selection
Store up integral system and capacity configuration guidance and the measuring and calculating of expected economy are provided.The present invention by input user electricity consumption data and
Characterisitic parameter, optimal photovoltaic and energy storage installed capacity and its economy are calculated with software.
The problem of existing for existing simulation software algorithm and defect, the present invention are proposed：
According to the load electricity consumption situation of user, determine the electricity charge pay mode (requirement/electrical capacity charge) and light-preserved system is most
Excellent capacity configuration.The power information (such as power/electricity) of collection user is needed, the voltage class and peak of user, flat, paddy is obtained
Electricity price, then carries out simulation calculation using software according to given energy storage discharge and recharge strategy, rather than with year power consumption and photovoltaic
Annual electricity generating capacity is estimated that result of calculation will more have referential.
User side grid type light stores up integral system capacity optimization software algorithm, is divided into following steps：
2) input is set and exports and simulation parameter is set.Need the annual tou power price of input user, timesharing load, correspondingly
Timesharing intensity of illumination, transformer capacity and maximum demand power, photovoltaic energy storage unit price and maintenance cost etc. be, it is necessary to export
Electric cost before and after optimization, including the civil power electricity charge and fixed cost etc.；
2) write energy storage discharge and recharge logic judgment condition, with realize photovoltaic maximize dissolve, the peak load shifting of civil power electricity consumption
And the reduction of requirement/electrical capacity charge；
3) software program code is write, realizes that the automatic cycle of program is called.
4) operation program finds out economy optimum combination, and allocation optimum is selected with reference to user power utilization characteristic.
Brief description of the drawings
Add up electric cost contrast before and after Fig. 1 optimizations day.
Power use by time shearing Cost comparisons before and after Fig. 2 optimizations.
Power supply constitutes contrast before and after Fig. 3 optimizations.
Power-balance control model after Fig. 4 optimizations.
Energy storage state after Fig. 5 optimizations.
Specific implementation method
Specific implementation method is illustrated with reference to example
User side grid type light stores up integral system capacity optimization software algorithm, is divided into following steps：
3) input is set and exports and simulation parameter is set.Need the annual tou power price of input user, timesharing load, correspondingly
Timesharing intensity of illumination, transformer capacity and maximum demand power, photovoltaic energy storage unit price and maintenance cost etc. be, it is necessary to export
Electric cost before and after optimization, including the civil power electricity charge and fixed cost etc.；
Energy storage discharge and recharge logic judgment condition
Requirement optimizes：
0-8h,
{ P bears-P light to If>=P needs max, and (C is stored up if>0, if (P bear-P light-P need max<P stores up max, and P, which bears-P light-P, needs max,
P stores up max), 0), (C is stored up if<C is total, and (P bears-P light-P needs max to if>- P stores up max, and P, which bears-P light-P, needs max ,-P storages max), 0)
If the 1st, customer charge be more than photovoltaic and maximum demand power sum when 1. energy storage can discharge, and can meet load and
Other both difference, then difference provided completely by energy storage, energy storage is discharged by peak power when can not meet, and in addition not enough is used
Civil power, if therefore demand power may be raised, 2. energy storage is empty, and load is all provided with both difference by civil power, demand power
May therefore it raise.
If 1. energy storage is chargeable when the 2, customer charge is less than photovoltaic and maximum demand power sum, difference is less than energy storage most
Big charge power, then difference is fully absorbed by energy storage, if energy storage charged by peak power and 2. store up during more than energy storage peak power
It can expire, on demand electricity consumption, unnecessary online.
8-12h, 17-21h,
{ P bears-P light to If>P cities, peak clipping, (C is stored up if>0, if (P bears-P light-P cities, peak clipping<P stores up max, and P bears-P light-P cities,
Peak clipping, P storages max), 0), { P bears-P light to if>(C is stored up by=0,0, if<C is total, and (P bears-P light to if>- P stores up max, and P bears-P light ,-P storages
max),0))}
1. if energy storage can discharge when the 1, customer charge is more than the electric peak clipping height sum in photovoltaic and peak, and can meet load and
Other both difference, then difference provided completely by energy storage, energy storage is discharged by peak power when can not meet, and in addition not enough is used
Civil power, if therefore demand power may be raised, 2. energy storage is empty, and load is all provided with both difference by civil power, demand power
Also can therefore it raise
2nd, customer charge is more than or equal to photovoltaic generation power, but is less than the civil power peak clipping height controlled when photovoltaic and peak valency
With when energy storage do not discharge, difference is all provided by civil power
If 1. energy storage is chargeable when the 3, customer charge is less than photovoltaic generation power, and photovoltaic power is less than with load difference
Energy storage maximum charge power, then difference fully absorbed by energy storage, during more than energy storage peak power energy storage by peak power charge, separately
Outer input power network, if 2. energy storage is full by 0.378 yuan/kWh of the earning photovoltaic online electricity charge, it is straight that photovoltaic power is more than loaded portion
Connect net, the earning photovoltaic online electricity charge
12-17h, 21-24h,
{ P bears-P light to If>=P needs max, and (C is stored up if>0, if (P bear-P light-P need max<P stores up max, and P, which bears-P light-P, needs max,
P stores up max), 0), (P bears-P light to if>(C is stored up by=0,0, if<C is total, and (P bears-P light to if>- P stores up max, and P bears-P light ,-P storages max),
0))}
If 1. energy storage can discharge when the 1, customer charge is more than photovoltaic and maximum demand power sum, difference is completely by storing up
It can provide, energy storage is discharged by peak power when can not meet, deficiency civil power in addition, if demand power is raised 2. energy storage
Empty, load is all provided with both difference by civil power, and demand power is also possible to therefore raise
2nd, customer charge is more than or equal to photovoltaic generation power, but energy storage is not put during less than photovoltaic with maximum demand power sum
Electricity, three's difference is all provided by civil power
If 1. energy storage is chargeable when the 3, customer charge is less than photovoltaic generation power, and photovoltaic power is less than with load difference
Energy storage maximum charge power, then difference fully absorbed by energy storage, during more than energy storage peak power energy storage by peak power charge, separately
Outer input power network, if 2. energy storage is full by 0.378 yuan/kWh of the earning photovoltaic online electricity charge, it is straight that photovoltaic power is more than loaded portion
Connect net, the earning photovoltaic online electricity charge.
Capacity optimizes：
0-8h,
{ P bears-P light to If>=P becomes e, and (C is stored up if>0, the if (negative-P light-P changes e of P<P stores up max, and P bears-P light-P and becomes e, P storages
), max 0), (C is stored up if<C is total, and (P bears-P light-P and becomes e if>- P stores up max, and P bears-P light-P and becomes e ,-P storages max), 0)
If 1. energy storage can discharge when the 1, customer charge is more than photovoltaic and transformer rated power sum, and can meet load
With other both difference, then difference provided completely by energy storage, energy storage is discharged by peak power when can not meet, and needs the portion of getting rid of
If 2. energy storage is empty for a point load, load and the load of both difference are all got rid of
If 1. energy storage is chargeable when the 2, customer charge is less than photovoltaic and transformer rated power power sum, difference is less than
Energy storage maximum charge power, then difference fully absorbed by energy storage, during more than energy storage peak power energy storage by peak power charge 2.
If energy storage is full, electricity consumption on demand, unnecessary online.
8-12h, 17-21h,
{ P bears-P light to If>P cities, peak clipping, (C is stored up if>0, if (P bears-P light-P cities, peak clipping<P stores up max, and P bears-P light-P cities,
Peak clipping, P storages max), 0), { P bears-P light to if>(C is stored up by=0,0, if<C is total, and (P bears-P light to if>- P stores up max, and P bears-P light ,-P storages
Max), 0))
1. if energy storage can discharge when the 1, customer charge is more than the electric peak clipping height sum in photovoltaic and peak, and can meet load and
Other both difference, then difference provided completely by energy storage, energy storage is discharged by peak power when can not meet, and in addition not enough is used
Civil power, if needing removal of load when city's electrical power exceedes transformer rated power, 2. energy storage is empty, and load and both difference are complete
Portion is provided by civil power, and removal of load is needed during more than transformer rated power
2nd, customer charge is more than or equal to photovoltaic generation power, but is less than the civil power peak clipping height controlled when photovoltaic and peak valency
With when energy storage do not discharge, difference is all provided by civil power
If 1. energy storage is chargeable when the 3, customer charge is less than photovoltaic generation power, and photovoltaic power is less than with load difference
Energy storage maximum charge power, then difference fully absorbed by energy storage, during more than energy storage peak power energy storage by peak power charge, separately
Outer input power network, if 2. energy storage is full by 0.378 yuan/kWh of the earning photovoltaic online electricity charge, it is straight that photovoltaic power is more than loaded portion
Connect net, the earning photovoltaic online electricity charge.
12-17h, 21-24h,
{ P bears-P light to If>=P becomes e, and (C is stored up if>0, the if (negative-P light-P changes e of P<P stores up max, and P bears-P light-P and becomes e, P storages
), max 0), (P bears-P light to if>(C is stored up by=0,0, if<C is total, and (P bears-P light to if>- P stores up max, and P bears-P light, and-P stores up max, 0)) }
If 1. energy storage can discharge when the 1, customer charge is more than photovoltaic and transformer rated power power sum, and can meet
Load is provided by energy storage completely with other both difference, then difference, and energy storage is discharged by peak power when can not meet, and needs to get rid of
If falling sub-load, 2. energy storage is empty, load and the load of both difference are all got rid of.
2nd, customer charge is more than or equal to photovoltaic generation power, but is stored up during less than photovoltaic with transformer rated power power sum
It can not discharge, three's difference is all provided by civil power.
If 1. energy storage is chargeable when the 3, customer charge is less than photovoltaic generation power, and photovoltaic power is less than with load difference
Energy storage maximum charge power, then difference fully absorbed by energy storage, during more than energy storage peak power energy storage by peak power charge, separately
Outer input power network, if 2. energy storage is full by 0.378 yuan/kWh of the earning photovoltaic online electricity charge, it is straight that photovoltaic power is more than loaded portion
Connect net, the earning photovoltaic online electricity charge.
Operation program, calculates analysis optimum combination
Simulation result in the case of listing capacity optimization, requirement optimization there is the photovoltaic of Optimum Economic and energy storage to hold
Amount configuration, and the image display in the way of picture, can be used as reference.
Claims (3)
1. user side grid type light stores up integral system capacity optimization software algorithm, it is characterized in that：It is divided into following steps：
1) set input and export and simulation parameter is set, it is necessary to input user year tou power price, timesharing load, corresponding point
When intensity of illumination, transformer capacity and maximum demand power, photovoltaic energy storage unit price and maintenance cost etc. be, it is necessary to export optimization
Front and rear electric cost, including the civil power electricity charge and fixed cost etc.；
2) write energy storage discharge and recharge logic judgment condition, with realize photovoltaic maximize dissolve, the peak load shifting of civil power electricity consumption and need
The reduction of amount/electrical capacity charge；
3) software program code is write, realizes that the automatic cycle of program is called.
4) operation program finds out economy optimum combination, and allocation optimum is selected with reference to user power utilization characteristic.
2. user side grid type light as claimed in claim 1 stores up integral system capacity optimization software algorithm, it is characterized in that step
It is rapid 2) in energy storage discharge and recharge logic judgment condition be：When requirement optimizes,
During 0-8h,
If 1) 1. energy storage can discharge when customer charge is more than photovoltaic with maximum demand power sum, and can meet load and other
Both difference, then difference provided completely by energy storage, energy storage is discharged by peak power when can not meet, deficiency city in addition
Electricity, if therefore demand power may be raised, 2. energy storage is empty, and load is all provided with both difference by civil power, and demand power can
Can therefore it raise；
2) 1. if energy storage is chargeable when customer charge is less than photovoltaic with maximum demand power sum, difference is filled less than energy storage maximum
Electrical power, then difference is fully absorbed by energy storage, if energy storage has charged 2. energy storage by peak power during more than energy storage peak power
It is full, electricity consumption on demand, unnecessary online.
When 8-12h, 17-21h,
If 1) 1. energy storage can discharge when customer charge is more than photovoltaic with peak electricity peak clipping height sum, and can meet load and other
Both difference, then difference provided completely by energy storage, energy storage is discharged by peak power when can not meet, deficiency city in addition
Electricity, if therefore demand power may be raised, 2. energy storage is empty, and load is all provided with both difference by civil power, demand power
Can therefore it raise；
2) customer charge is more than or equal to photovoltaic generation power, but when being less than the civil power peak clipping height sum controlled when photovoltaic and peak valency
Energy storage is not discharged, and difference is all provided by civil power
3) 1. if energy storage is chargeable when customer charge is less than photovoltaic generation power, and photovoltaic power is less than energy storage with load difference
Maximum charge power, then difference fully absorbed by energy storage, during more than energy storage peak power energy storage by peak power charge, in addition
Input power network, if 2. energy storage is full by the earning photovoltaic online electricity charge 0.378 yuan/kWh, photovoltaic power be more than loaded portion it is direct on
Net, the earning photovoltaic online electricity charge；
When 12-17h, 21-24h,
1) 1. if energy storage can discharge when customer charge is more than photovoltaic with maximum demand power sum, difference is carried by energy storage completely
For energy storage is discharged by peak power when can not meet, deficiency civil power in addition, if demand power has been raised 2. energy storage
Sky, load is all provided with both difference by civil power, and demand power is also possible to therefore raise；
2) customer charge is more than or equal to photovoltaic generation power, but energy storage is not discharged during less than photovoltaic with maximum demand power sum,
Three's difference is all provided by civil power；
3) 1. if energy storage is chargeable when customer charge is less than photovoltaic generation power, and photovoltaic power is less than energy storage with load difference
Maximum charge power, then difference fully absorbed by energy storage, during more than energy storage peak power energy storage by peak power charge, in addition
Input power network, if 2. energy storage is full by the earning photovoltaic online electricity charge 0.378 yuan/kWh, photovoltaic power be more than loaded portion it is direct on
Net, the earning photovoltaic online electricity charge.
3. user side grid type light as claimed in claim 1 stores up integral system capacity optimization software algorithm, it is characterized in that step
It is rapid 2) in energy storage discharge and recharge logic judgment condition be：When capacity optimizes：
During 0-8h,
If 1) 1. energy storage can discharge when customer charge is more than photovoltaic with transformer rated power sum, and can meet load and its
He both difference, then difference provided completely by energy storage, energy storage is discharged by peak power when can not meet, and is needed to get rid of part and is born
If 2. energy storage is empty for lotus, load and the load of both difference are all got rid of；
If 2) 1. energy storage is chargeable when customer charge is less than photovoltaic with transformer rated power power sum, difference is less than energy storage
Maximum charge power, then difference is fully absorbed by energy storage, if 2. energy storage charges by peak power during more than energy storage peak power
Energy storage is full, electricity consumption on demand, unnecessary online；
When 8-12h, 17-21h,
If 1) 1. energy storage can discharge when customer charge is more than photovoltaic with peak electricity peak clipping height sum, and can meet load and other
Both difference, then difference provided completely by energy storage, energy storage is discharged by peak power when can not meet, deficiency city in addition
Electricity, if needing removal of load when city's electrical power exceedes transformer rated power, 2. energy storage is empty, and load is whole with both difference
There is provided by civil power, removal of load is needed during more than transformer rated power；
2) customer charge is more than or equal to photovoltaic generation power, but when being less than the civil power peak clipping height sum controlled when photovoltaic and peak valency
Energy storage is not discharged, and difference is all provided by civil power
3) 1. if energy storage is chargeable when customer charge is less than photovoltaic generation power, and photovoltaic power is less than energy storage with load difference
Maximum charge power, then difference fully absorbed by energy storage, during more than energy storage peak power energy storage by peak power charge, in addition
Input power network, if 2. energy storage is full by the earning photovoltaic online electricity charge 0.378 yuan/kWh, photovoltaic power be more than loaded portion it is direct on
Net, the earning photovoltaic online electricity charge.
When 12-17h, 21-24h；
If 1) 1. energy storage can discharge when customer charge is more than photovoltaic with transformer rated power power sum, and can meet load
With other both difference, then difference provided completely by energy storage, energy storage is discharged by peak power when can not meet, and needs the portion of getting rid of
If 2. energy storage is empty for a point load, load and the load of both difference are all got rid of；
2) customer charge is more than or equal to photovoltaic generation power, but energy storage is not during less than photovoltaic and transformer rated power power sum
Electric discharge, three's difference is all provided by civil power
3) 1. if energy storage is chargeable when customer charge is less than photovoltaic generation power, and photovoltaic power is less than energy storage with load difference
Maximum charge power, then difference fully absorbed by energy storage, during more than energy storage peak power energy storage by peak power charge, in addition
Input power network, if 2. energy storage is full by the earning photovoltaic online electricity charge 0.378 yuan/kWh, photovoltaic power be more than loaded portion it is direct on
Net, the earning photovoltaic online electricity charge.
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