CN109583623A - Region multipotency source supply system in a few days rolls collaboration optimizing operation method and device - Google Patents
Region multipotency source supply system in a few days rolls collaboration optimizing operation method and device Download PDFInfo
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Abstract
The present invention provides a kind of region multipotency source supply systems in a few days to roll collaboration optimizing operation method and device, the following steps are included: S1: analyzed area multipotency source supply system structure, the equipment operation characteristic and energy properties of flow in multipotency source supply system are extracted, and establishes system equipment and system mathematic model on this basis；S2: based on systematic mathematical modeling and current energy prices information, the objective function of the building operation of collaboration optimization a few days ago obtains region multipotency source supply system and cooperates with optimization operating scheme a few days ago in conjunction with the constraint condition optimized a few days ago；S3: based on Unit Commitment scheme, nearest load prediction data and the renewable energy power generation prediction power output in the operating scheme of collaboration optimization a few days ago, in a few days rolling optimization operating scheme is obtained；S4: based in a few days rolling-operation scheme, region multipotency source supply system real time execution scheme is acquired.Scheme proposed by the invention can eliminate prediction error and can be in the influence of raw energy fluctuation, it is ensured that system safe and stable operation.
Description
Technical field
The present invention relates to multipotency source supply systems to optimize running technology field, and in particular to a kind of multi-energy system in a few days rolls
Dynamic collaboration optimizing operation method.
Background technique
With advanced the reach of science, demand of the people to the energy increasingly increases, and at the same time, traditional fossil energy is increasingly
The problems such as exhaustion, energy security, environmental protection, is concerned, and the existing form energies transformation efficiency such as hot and cold, electric is low, distribution
Do not concentrate, situations such as use cost is high it is generally existing so that the energy and environment have become restriction national economy sustainable development
Main bottleneck.
Meanwhile the consumption growing day by day along with the non-renewable traditional fossil energy such as coal, petroleum, natural gas, in addition to
Bring greenhouse effects, outside environmental problem, the amount of having of fossil energy is also constantly reduced on the earth, is existed according to current operating speed
Fossil energy will be produced and use in the near future.So countries in the world start to focus on exploitation wind energy, solar energy etc. can be again
The raw energy.But for clean energy resourcies such as wind energy and solar energy, they have the shortcomings that one it is common, be exactly uncontrollable.Now, i.e.,
Make with the development of science and technology, the mankind can use the computer of the advanced high configuration of mathematical method cooperation, to wind energy and too
Sun can be carried out accurate prediction.But still there is a certain error for this prediction, in particular with the increase of predicted time, in advance
The accuracy of survey also will be greatly reduced.But the production of electric energy and use must keep balance at the moment, " moment " here refers to
As soon as millisecond all cannot be poor, the production of thermal energy and cold energy and using requiring not so harshness in time in contrast.In region
The unpredictability of region multipotency source supply system, a kind of solution can be greatly increased in system after introducing wind-powered electricity generation, solar power generation
Method is that renewable energy is converted to thermal energy and cold energy etc. in physical property convenient for the energy of storage；Another solution
It is exactly production of energy and the unpredictability used in reduction system, but is limited by existing technical method, existing region
Multipotency source supply system coordinated dispatching method a few days ago, predicted time is too long, causes precision of prediction insufficient, the supply of region multiple-energy-source
Safety, reliability and the economy that system energizes are all poor.
Summary of the invention
The purpose of the present invention is to solve at least one above-mentioned problem, which is by the following technical programs
It realizes.
The present invention provides a kind of region multipotency source supply system and in a few days rolls collaboration optimizing operation method, including following step
It is rapid:
S1: analyzed area multipotency source supply system structure extracts equipment operation characteristic and energy in multipotency source supply system
Properties of flow, and system equipment and system mathematic model are established on this basis；
S2: based on systematic mathematical modeling and current energy prices information, building cooperates with the objective function of optimization operation a few days ago,
In conjunction with the constraint condition optimized a few days ago, obtains region multipotency source supply system and cooperate with optimization operating scheme a few days ago；
S3: based on Unit Commitment scheme, the nearest load prediction data and can be again in the operating scheme of collaboration optimization a few days ago
Raw energy power generation prediction power output, using performance driving economy as target, repeatedly the objective function of building and solving optimization operation, obtains day
Interior rolling optimization operating scheme；
S4: based in a few days rolling-operation scheme, region multipotency source supply system real time execution scheme is acquired.
Further, in step sl, the system equipment is electric energy storage gas turbine, the system mathematic model
Are as follows:
Pgt=Fgt·LHV·ηgt
In formula: PgtIndicate the reality output electrical power of miniature gas turbine, kW；
Pgt0Indicate the electric rating of miniature gas turbine, kW；
LHV is expressed as the Lower heat value of natural gas, 9.78kWh/m3；
FgtIt is expressed as natural gas consumption, m3/h；
HgtIt is expressed as high-temperature flue gas excess heat, kW；
ηgtIt is expressed as gas turbine proficiency；
η loss is expressed as heat waste crash rate, takes 0.13；
A, b, c, d are expressed as gas electricity generator efficiency factor, value 0.1068,0.4174, -0.3095,0.0753；
Relationship is expressed as between electric energy storage device capacity and charge-discharge electric power:
In formula:Indicate electric energy storage device in t period storage capacity, kWh；
Indicate storage capacity of the electric energy storage device in the t-1 period, kWh；
Respectively indicate electric energy storage device store in the t period, discharge power, kW；
δESIt is expressed as self-discharge rate, value 0.001；
ηES.c、ηES.dIt is expressed as storage, discharging efficiency, value 0.9；
Δ t indicates to store the duration of heat release period, h.
Further, in step s 2, the objective function of the optimization operation of collaboration a few days ago are as follows:
MinC=Cf+Cex+Cst+Cw
Wherein CfFor gas consumption expense:
Wherein CexExpense is interacted with the power of power grid for region multipotency source supply system:
Wherein CstFor the switching cost of extension set group in the middle part of the multipotency source supply system of region:
Wherein CwFor the maintenance cost of all devices in the multipotency source supply system of region:
In formula, cfFor Gas Prices；
QjIt (t) is equipment j in t period gas consumption；
T indicates total optimization run the period number, take 15 minutes for an optimization run the period duration, 24 hours one day totally 96
Optimize run the period；
ce.b(t) and ce.s(t) t period power purchase and sale of electricity price are respectively indicated；
Pe.b(t) and Pe.s(t) t period power purchase or sale of electricity power are respectively indicated；
cst.nIndicate the primary expense of unit n start and stop, N indicates the unit number of meter and switching cost；
Un(t) start and stop state of the unit n in the t period is indicated, shutdown takes 0, and booting takes 1；
cw.iIndicate the unit power maintenance cost of equipment iI；Pi(t) indicate equipment i in the power of t period；I sets for system
Standby number；
Δ t indicates each period duration, is taken as 0.25 hour.
Further, in step s 2, the constraint condition of the optimization operation of collaboration a few days ago optimized a few days ago includes: cold and hot
Electrical power Constraints of Equilibrium, equipment power output bound constraint, unit climb and fall rate constraint, Unit Commitment time-constrain, polynary storage
It can capacity and polynary energy storage units limits, system restriction；And/or
In step s 2, the optimization operating scheme of collaboration a few days ago includes: system in 96 optimization run the periods in one day
The start and stop state and power output size of interior all controllable devices.
Further, in step s3, the objective function of rolling optimization operation are as follows:
MinC=Cf+Cex+Cw
Wherein CfFor gas consumption expense:
Wherein CexExpense is interacted with the power of power grid for region multipotency source supply system:
Wherein CwFor the maintenance cost of all devices in the multipotency source supply system of region:
In formula, T indicates total optimization run the period number, take 15 minutes for an optimization run the period duration, 24 hours one day
Totally 96 optimization run the periods, when every two hours once being rolled, one day rolling optimization 12 times, every time than preceding primary reduction 8
A optimization period.
The present invention also provides a kind of region multipotency source supply systems in a few days to roll collaboration optimized operating device, comprising:
Modeling module is used for analyzed area multipotency source supply system structure, extracts equipment operation in multipotency source supply system
Characteristic and energy properties of flow, and system equipment and system mathematic model are established on this basis；
Module one is solved, for based on systematic mathematical modeling and current energy prices information, the building fortune of collaboration optimization a few days ago
Capable objective function, fully considers the constraint condition optimized a few days ago, solution obtain region multipotency source supply system cooperate with a few days ago it is excellent
Change operating scheme；
Module two is solved, for pre- based on the Unit Commitment scheme and nearest load cooperateed in optimization operating scheme a few days ago
Measured data and renewable energy power generation prediction power output, equally using performance driving economy as target, repeatedly building and solving optimization operation
Objective function, obtain in a few days rolling optimization operating scheme；
Output module, for acquiring region multipotency source supply system real time execution scheme based in a few days rolling-operation scheme.
Further, the system equipment is electric energy storage gas turbine, the system mathematic model are as follows:
Pgt=Fgt·LHV·ηgt
In formula:
PgtIndicate the reality output electrical power of miniature gas turbine, kW；
Pgt0Indicate the electric rating of miniature gas turbine, kW；
LHV is expressed as the Lower heat value of natural gas, 9.78kWh/m3；
FgtIt is expressed as natural gas consumption, m3/h；
HgtIt is expressed as high-temperature flue gas excess heat, kW；
ηgtIt is expressed as gas turbine proficiency；
η loss is expressed as heat waste crash rate, takes 0.13；
A, b, c, d are expressed as gas electricity generator efficiency factor, value 0.1068,0.4174, -0.3095,0.0753；
Relationship is expressed as between electric energy storage device capacity and charge-discharge electric power:
In formula:
Indicate electric energy storage device in t period storage capacity, kWh；
Indicate storage capacity of the electric energy storage device in the t-1 period, kWh；
Respectively indicate electric energy storage device store in the t period, discharge power, kW；
δESIt is expressed as self-discharge rate, value 0.001；
ηES.c、ηES.dIt is expressed as storage, discharging efficiency, value 0.9；
Δ t indicates to store the duration of heat release period, h.
Further, the objective function of the optimization operation of collaboration a few days ago is
MinC=Cf+Cex+Cst+Cw
Wherein CfFor gas consumption expense:
Wherein CexExpense is interacted with the power of power grid for region multipotency source supply system:
Wherein CstFor the switching cost of extension set group in the middle part of the multipotency source supply system of region:
Wherein CwFor the maintenance cost of all devices in the multipotency source supply system of region:
In formula,
cfFor Gas Prices；
QjIt (t) is equipment j in t period gas consumption；
T indicates total optimization run the period number, take 15 minutes for an optimization run the period duration, 24 hours one day totally 96
Optimize run the period；
ce.b(t) and ce.s(t) t period power purchase and sale of electricity price are respectively indicated；
Pe.b(t) and Pe.s(t) t period power purchase or sale of electricity power are respectively indicated；
cst.nIndicate the primary expense of unit n start and stop, N indicates the unit number of meter and switching cost；
Un(t) start and stop state of the unit n in the t period is indicated, shutdown takes 0, and booting takes 1；
cw.iIndicate the unit power maintenance cost of equipment iI；
Pi(t) indicate equipment i in the power of t period；I is system equipment number；
Δ t indicates each period duration, is taken as 0.25 hour.
Further, the objective function of the optimization operation of collaboration a few days ago optimized a few days ago are as follows:
MinC=Cf+Cex+Cw
Wherein CfFor gas consumption expense:
Wherein CexExpense is interacted with the power of power grid for region multipotency source supply system:
Wherein CwFor the maintenance cost of all devices in the multipotency source supply system of region:
In formula, T indicates total optimization run the period number, take 15 minutes for an optimization run the period duration, 24 hours one day
Totally 96 optimization run the periods, when every two hours once being rolled, one day rolling optimization 12 times, every time than preceding primary reduction 8
A optimization period.
Further, the rolling refers to that every mistake is once predicted and solved for two hours, and the rolling optimization time is every two
It carries out once within a hour, the period of rolling-operation is each period duration 15 minutes, per hour includes 4 optimization run the periods.
Compared with the prior art, the beneficial effect that the present invention reaches is:
The present invention provides a kind of region multipotency source supply systems in a few days to roll collaboration optimizing operation method；It is more by region
Equipment and system modelling in energy supplyystem acquire hot and cold, electric various energy resources system in a few days rolling-operation scheme, with passing
Unification and independence found energy resource system compared to energy use efficiency is greatly improved, and region multipotency source supply system operating cost are reduced, with adopting
It is compared with the region multipotency source supply system of scheduling scheme a few days ago, scheme proposed by the invention can eliminate prediction error and can be
The influence of raw energy fluctuation, it is ensured that system safe and stable operation.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art be briefly described, it should be apparent that, it is described below
Attached drawing is some embodiments of the present invention, for those of ordinary skill in the art, before not making the creative labor
It puts, is also possible to obtain other drawings based on these drawings.
Fig. 1 is that a kind of region multipotency source supply system provided by the invention in a few days rolls collaboration optimizing operation method process
Figure；
Fig. 2 is that a kind of region multipotency source supply system provided by the invention is in a few days rolled to cooperate with and rolled in optimizing operation method
Time series chart；
Fig. 3 is that a kind of region multipotency source supply system provided by the invention in a few days rolls in collaboration optimizing operation method a few days ago
With rolling time relational graph；
Fig. 4 is that a kind of region multipotency source supply system provided by the invention is in a few days rolled to cooperate with and rolled in optimizing operation method
Operation reserve figure.
Specific embodiment
Technical solution of the present invention is clearly and completely described below in conjunction with attached drawing, it is clear that described implementation
Example is a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill
Personnel's every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.
As shown in Figure 1, a kind of region multipotency source supply system provided by the invention in a few days rolls collaboration optimizing operation method,
Including the following steps executed in order:
S1: analyzed area multipotency source supply system structure is extracted equipment operation characteristic in multipotency source supply system and can be flowed
Characteristic establishes system equipment and system mathematic model on this basis；
S2: based on systematic mathematical modeling and current energy prices information, building cooperates with the objective function of optimization operation a few days ago,
Fully consider the constraint condition optimized a few days ago, solution obtains region multipotency source supply system and cooperates with optimization operating scheme a few days ago；
S3: based on the Unit Commitment scheme and nearest load prediction data and can be again in the operating scheme of collaboration optimization a few days ago
Raw energy power generation prediction power output, equally using performance driving economy as target, repeatedly the objective function of building and solving optimization operation, is obtained
To in a few days rolling optimization operating scheme；
S4: based in a few days rolling-operation scheme, region multipotency source supply system real time execution scheme is acquired.
Equipment refers to the object that system can optimize in step sl, comprising: gas turbine, gas fired-boiler, wind-power electricity generation
Machine, photovoltaic cell, waste heat boiler, electric boiler, electric refrigeration equipment, BrLi chiller, power grid interaction power, electric energy storage, heat
The cold and hot electrical energy productions, conversion equipment such as energy storage, cold energy storage.
Further, device characteristics refer in step sl, conversion of the cold and hot electric energy in production of energy and conversion equipment
Relationship, can properties of flow refer to that electric energy passes through cold water pipe network and water pump by hot water pipe net and water pump, cold energy by power grid, thermal energy
Transmission characteristic.
Equipment mathematical model is by taking gas turbine, electric energy storage as an example in step sl.
Natural gas is converted into more than electric energy and high temperature as the important Coupling device of conversion links energy stream by miniature gas turbine
Cigarette thermal energy.It is as follows that equipment can flow coupling conversion mathematical model:
Pgt=Fgt·LHV·ηgt
In formula: PgtIndicate the reality output electrical power of miniature gas turbine, kW；Pgt0Indicate the specified of miniature gas turbine
Electrical power, kW；LHV is expressed as the Lower heat value of natural gas, 9.78kWh/m3；FgtIt is expressed as natural gas consumption, m3/h；HgtTable
It is shown as high-temperature flue gas excess heat, kW；ηgtIt is expressed as gas turbine proficiency；η loss is expressed as heat waste crash rate, takes 0.13；a,b,
C, d is expressed as gas electricity generator efficiency factor, general value 0.1068,0.4174, -0.3095,0.0753.
Hot energy storage, cold energy storage are similar with the electric mathematical model of energy storage, and only parameter value is different, electric energy storage device capacity and fill
Relationship is expressed as between discharge power:
In formula:Indicate electric energy storage device in t period storage capacity, kWh；Indicate electric energy storage device in the storage of t-1 period
Capacitance, kWh；Respectively indicate electric energy storage device store in the t period, discharge power, kW；δESSelf-discharge rate is expressed as,
General value is 0.001；ηES.c、ηES.dIt is expressed as storage, discharging efficiency, general value is 0.9；Δ t indicates to store the heat release period
Duration, h.
Further, current energy prices information refers under energy value mechanism and natural gas price lattice mechanism in step s 2
Energy prices corresponding to Different Optimization run the period.
Further, the energy value mechanism refers to tou power price, step price etc., Gas Prices in step s 2
Mechanism such as ladder gas price.
Further, the objective function of the optimization operation of collaboration a few days ago in step s 2 are as follows:
MinC=Cf+Cex+Cst+Cw
Wherein CfFor gas consumption expense:
Wherein CexExpense is interacted with the power of power grid for region multipotency source supply system:
Wherein CstFor the switching cost of extension set group in the middle part of the multipotency source supply system of region:
Wherein CwFor the maintenance cost of all devices in the multipotency source supply system of region:
In formula, cfFor Gas Prices；QjIt (t) is equipment j in t period gas consumption；When T indicates total optimization operation
Number of segment, take 15 minutes for an optimization run the period duration, 24 hours one day totally 96 optimization run the periods；ce.b(t) and ce.s
(t) t period power purchase and sale of electricity price are respectively indicated；Pe.b(t) and Pe.s(t) t period power purchase or sale of electricity power are respectively indicated；cst.n
Indicate the primary expense of unit n start and stop, N indicates the unit number of meter and switching cost；Un(t) indicate unit n in the start and stop of t period
State, shutdown take 0, and booting takes 1；cw.iIndicate the unit power maintenance cost of equipment iI；Pi(t) indicate equipment i in the t period
Power；I is system equipment number；Δ t indicates each period duration, is taken as 0.25 hour.
In step s 2 a few days ago collaboration optimization operation the constraint condition optimized a few days ago include: cool and thermal power power-balance about
Beam, the bound constraint of equipment power output, unit climb and fall rate constraint, Unit Commitment time-constrain, polynary stored energy capacitance and polynary
Energy storage units limits, system restriction.
The optimization operating scheme of collaboration a few days ago in step s 2 includes: institute in system in 96 optimization run the periods in one day
There are the start and stop state and power output size of controllable device.
Further, in step s3 nearest load prediction data and renewable energy power generation prediction power output refer to from
To the same day, the last one optimized the load prediction data and generated output of renewable energy source prediction data of run the period to present period,
It is once predicted every two hours.
Rolling in step s3 refers to that every mistake is once predicted and solved for two hours, rolling optimization time such as attached drawing two
It is shown, every two hour carry out it is primary, the period of rolling-operation as shown in attached drawing three, each period duration 15 minutes, per hour
Include 4 optimization run the periods.
In step s3 rolling optimization operation objective function do not include Unit Commitment expense, all other with assist a few days ago
Identical with optimization operation, wherein optimization run the period number T can be reduced constantly, corresponding constraint condition does not just include Unit Commitment yet
Time-constrain, there are also cool and thermal power power-balance constraint, the bound constraint of equipment power output, unit climb and fall rate constraint, energy storage to hold
Amount and units limits.Objective function is
MinC=Cf+Cex+Cw
Wherein CfFor gas consumption expense:
Wherein CexExpense is interacted with the power of power grid for region multipotency source supply system:
Wherein CwFor the maintenance cost of all devices in the multipotency source supply system of region:
In formula, T indicates total optimization run the period number, take 15 minutes for an optimization run the period duration, 24 hours one day
Totally 96 optimization run the periods, when every two hours once being rolled, one day rolling optimization 12 times, every time than preceding primary reduction 8
A optimization period.
Multipotency source supply system in region provided by the invention in a few days rolls collaboration optimizing operation method, passes through region multiple-energy-source
Equipment and system modelling in feed system acquire hot and cold, electric various energy resources system in a few days rolling-operation scheme, with traditional only
Vertical energy resource system reduces region multipotency source supply system operating cost compared to energy use efficiency is greatly improved, with using day
The region multipotency source supply system of preceding scheduling scheme is compared, and scheme proposed by the invention can eliminate prediction error and can be in raw energy
The influence of source fluctuation, it is ensured that system safe and stable operation.
In addition, the present invention, which gives a kind of region multipotency source supply system, in a few days rolls collaboration optimized operating device, comprising:
Modeling module is used for analyzed area multipotency source supply system structure, extracts equipment operation in multipotency source supply system
Characteristic and energy properties of flow, establish system equipment and system mathematic model on this basis；
Module one is solved, for based on systematic mathematical modeling and current energy prices information, the building fortune of collaboration optimization a few days ago
Capable objective function, fully considers the constraint condition optimized a few days ago, solution obtain region multipotency source supply system cooperate with a few days ago it is excellent
Change operating scheme；
Module two is solved, for pre- based on the Unit Commitment scheme and nearest load cooperateed in optimization operating scheme a few days ago
Measured data and renewable energy power generation prediction power output, equally using performance driving economy as target, repeatedly building and solving optimization operation
Objective function, obtain in a few days rolling optimization operating scheme；
Output module, for acquiring region multipotency source supply system real time execution scheme based in a few days rolling-operation scheme.
The equipment refers to the object that system can optimize, comprising: gas turbine, gas fired-boiler, wind-driven generator, photovoltaic
It is battery, waste heat boiler, electric boiler, electric refrigeration equipment, BrLi chiller, power grid interaction power, electric energy storage, hot energy storage, cold
The cold and hot electrical energy production such as energy storage, conversion equipment.
The device characteristics refer to, transformational relation of the cold and hot electric energy in production of energy and conversion equipment, can properties of flow be
Refer to that electric energy passes through the transmission characteristic of cold water pipe network and water pump by power grid, thermal energy by hot water pipe net and water pump, cold energy.
The equipment mathematical model is by taking gas turbine, electric energy storage as an example.
Natural gas is converted into more than electric energy and high temperature as the important Coupling device of conversion links energy stream by miniature gas turbine
Cigarette thermal energy.It is as follows that equipment can flow coupling conversion mathematical model:
Pgt=Fgt·LHV·ηgt
In formula: PgtIndicate the reality output electrical power of miniature gas turbine, kW；Pgt0Indicate the specified of miniature gas turbine
Electrical power, kW；LHV is expressed as the Lower heat value of natural gas, 9.78kWh/m3；FgtIt is expressed as natural gas consumption, m3/h；HgtTable
It is shown as high-temperature flue gas excess heat, kW；ηgtIt is expressed as gas turbine proficiency；η loss is expressed as heat waste crash rate, takes 0.13；a,b,
C, d is expressed as gas electricity generator efficiency factor, general value 0.1068,0.4174, -0.3095,0.0753.
Hot energy storage, cold energy storage are similar with the electric mathematical model of energy storage, and only parameter value is different, electric energy storage device capacity and fill
Relationship is expressed as between discharge power:
In formula:Indicate electric energy storage device in t period storage capacity, kWh；Indicate electric energy storage device in the storage of t-1 period
Capacitance, kWh；Respectively indicate electric energy storage device store in the t period, discharge power, kW；δESSelf-discharge rate is expressed as,
General value is 0.001；ηES.c、ηES.dIt is expressed as storage, discharging efficiency, general value is 0.9；Δ t indicates to store the heat release period
Duration, h.
The current energy prices information refer to energy value mechanism under natural gas price lattice mechanism correspond to it is Bu Tong excellent
Change the energy prices of run the period.
The energy value mechanism refers to tou power price, step price etc., natural gas price lattice mechanism such as ladder gas price.
The collaboration a few days ago optimizes the objective function run and is
MinC=Cf+Cex+Cst+Cw
Wherein CfFor gas consumption expense:
Wherein CexExpense is interacted with the power of power grid for region multipotency source supply system:
Wherein CstFor the switching cost of extension set group in the middle part of the multipotency source supply system of region:
Wherein CwFor the maintenance cost of all devices in the multipotency source supply system of region:
In formula, cfFor Gas Prices；QjIt (t) is equipment j in t period gas consumption；When T indicates total optimization operation
Number of segment, take 15 minutes for an optimization run the period duration, 24 hours one day totally 96 optimization run the periods；ce.b(t) and ce.s
(t) t period power purchase and sale of electricity price are respectively indicated；Pe.b(t) and Pe.s(t) t period power purchase or sale of electricity power are respectively indicated；cst.n
Indicate the primary expense of unit n start and stop, N indicates the unit number of meter and switching cost；Un(t) indicate unit n in the start and stop of t period
State, shutdown take 0, and booting takes 1；cw.iIndicate the unit power maintenance cost of equipment iI；Pi(t) indicate equipment i in the t period
Power；I is system equipment number；Δ t indicates each period duration, is taken as 0.25 hour.
The constraint condition of the optimization operation of collaboration a few days ago optimized a few days ago includes: cool and thermal power power-balance constraint, equipment
Power output bound constraint, unit climb and fall rate constraint, Unit Commitment time-constrain, polynary stored energy capacitance and polynary energy storage power output
Constraint, system restriction.Objective function is
MinC=Cf+Cex+Cw
Wherein CfFor gas consumption expense:
Wherein CexExpense is interacted with the power of power grid for region multipotency source supply system:
Wherein CwFor the maintenance cost of all devices in the multipotency source supply system of region:
In formula, T indicates total optimization run the period number, take 15 minutes for an optimization run the period duration, 24 hours one day
Totally 96 optimization run the periods, when every two hours once being rolled, one day rolling optimization 12 times, every time than preceding primary reduction 8
A optimization period.
The optimization operating scheme of collaboration a few days ago includes: all controllable in system in 96 optimization run the periods in one day
The start and stop state and power output size of equipment.
The nearest load prediction data and renewable energy power generation prediction power output referred to from present period to the same day
The last one optimization run the period load prediction data and generated output of renewable energy source prediction data, every two hours into
The primary prediction of row.
The rolling refers to that every mistake is once predicted and solved for two hours, the rolling optimization time as shown in attached drawing two, often
Two hours carry out once, and the period of rolling-operation, each period duration 15 minutes included 4 per hour as shown in attached drawing three
Optimize run the period.
The objective function of the rolling optimization operation does not include Unit Commitment expense, all other are transported with optimization is cooperateed with a few days ago
Row is identical, wherein optimization run the period number T can be reduced constantly, corresponding constraint condition does not just include the Unit Commitment time about yet
Beam there are also cool and thermal power power-balance constraint, the bound constraint of equipment power output, unit climb and fall rate constraint, stored energy capacitance and goes out
Force constraint.
Device model according to the present invention is established as follows:
Gas fired-boiler:
In formula, Qgb(t) andIt is amount of consumed gas and thermal output of the gas fired-boiler in period t；ηgbIt is gas-fired boiler
The thermal output of furnace.
Hot and cold, electric energy storage device model:
In formula, E(·)(t) and E(·)(t-1) energy storage device is represented in the energy storage capacity of period t and period t-1；Es, hs and cs
Respectively represent electric energy storage, hot energy storage and cold energy storage；WithIt is that the energy storage of period t is charged and discharged power；WithIt is storage respectively
Energy fills energy and exergic efficiency；σ(·)It is from energy efficiency.
Electric boiler:
In formula,It is electric boiler thermal output；The power consumption of electric boiler；ηebIt is the heat production effect of electric boiler
Rate；
Lithium bromide refrigerator:
In formula,It is the cold power of output of BrLi chiller；It is the input hot merit of BrLi chiller
Rate；ηlrThe transfer efficiency of BrLi chiller.
Electricity refrigeration:
In formula,It is the output power of electricity refrigeration；It is the input power of electricity refrigeration；ηacIt is the efficiency of electricity refrigeration
Coefficient.
Constraint condition in the present invention is as follows:
Cold and hot electric energy balance constraint:
In formula,WithCooling heating and power generation system respectively the electric load of t period, thermic load and
Refrigeration duty；Pwind(t) and PpvIt (t) is t period wind-power electricity generation and photovoltaic power generation power output respectively..
Interconnection interacts power constraint
In formula, Pex,minAnd Pex,maxIt is the minimum and maximum of energetic interaction between region multipotency source supply system and bulk power grid
Transimission power.
Polynary energy storage constraint:
In formula,WithIt is the maximum charge and discharge energy multiplying power of energy storage m respectively；μmin.mAnd μmax.mIt is the minimum of energy storage m respectively
With maximum state-of-charge；Capes.mThe maximum capacity of energy storage m；P(·).mAnd E(·).mBe respectively the energy storage of period t fill and (put) can power
With fill and (put) energy；E(·).m(0) and E(·).mIt (T) is the energy storage capacity most started for one day with last energy storage m respectively..
Controllable device units limits:
In formula, Pi CGIt (t) is output power of hot and cold, the electric equipment i in the t period；WithBe equipment i minimum and
Peak power output.
Gas turbine climb and fall rate constraint:
In formula,WithIt is the maximum uphill, downhill rate of gas turbine respectively.
Multipotency source supply system in region provided by the invention in a few days rolls collaboration optimized operating device, passes through region multiple-energy-source
Equipment and system modelling in feed system acquire hot and cold, electric various energy resources system in a few days rolling-operation scheme, with traditional only
Vertical energy resource system reduces region multipotency source supply system operating cost compared to energy use efficiency is greatly improved, with using day
The region multipotency source supply system of preceding scheduling scheme is compared, and scheme proposed by the invention can eliminate prediction error and can be in raw energy
The influence of source fluctuation, it is ensured that system safe and stable operation.
In the description of the present invention, it should be noted that term " center ", "upper", "lower", "left", "right", "vertical",
The orientation or positional relationship of the instructions such as "horizontal", "inner", "outside" is to be based on the orientation or positional relationship shown in the drawings, or be somebody's turn to do
Invention product using when the orientation or positional relationship usually put, be merely for convenience of description of the present invention and simplification of the description, without
It is that the device of indication or suggestion meaning or element must have a particular orientation, be constructed and operated in a specific orientation, therefore not
It can be interpreted as limitation of the present invention.In addition, term " first ", " second ", " third " etc. are only used for distinguishing description, and cannot manage
Solution is indication or suggestion relative importance.
In the description of the present invention, it is also necessary to which explanation is unless specifically defined or limited otherwise, term " setting ",
" installation ", " connected ", " connection " shall be understood in a broad sense, for example, it may be fixedly connected, may be a detachable connection or one
Connect to body；It can be mechanical connection, be also possible to be electrically connected；It can be directly connected, it can also be indirect by intermediary
It is connected, can be the connection inside two elements.For the ordinary skill in the art, on being understood with concrete condition
State the concrete meaning of term in the present invention.
Finally, it should be noted that embodiment described above, only a specific embodiment of the invention, to illustrate the present invention
Technical solution, rather than its limitations, scope of protection of the present invention is not limited thereto, although with reference to the foregoing embodiments to this hair
It is bright to be described in detail, those skilled in the art should understand that: anyone skilled in the art
In the technical scope disclosed by the present invention, it can still modify to technical solution documented by previous embodiment or can be light
It is readily conceivable that variation or equivalent replacement of some of the technical features；And these modifications, variation or replacement, do not make
The essence of corresponding technical solution is detached from the spirit and scope of technical solution of the embodiment of the present invention.Should all it cover in protection of the invention
Within the scope of.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.
Claims (10)
1. a kind of region multipotency source supply system in a few days rolls collaboration optimizing operation method, it is characterised in that: the following steps are included:
S1: analyzed area multipotency source supply system structure extracts the equipment operation characteristic in multipotency source supply system and can flow spy
Property, and system equipment and system mathematic model are established on this basis；
S2: based on systematic mathematical modeling and current energy prices information, building cooperates with the objective function of optimization operation a few days ago, in conjunction with
The constraint condition optimized a few days ago obtains region multipotency source supply system and cooperates with optimization operating scheme a few days ago；
S3: based on Unit Commitment scheme, nearest load prediction data and the renewable energy in the operating scheme of collaboration optimization a few days ago
Source power generation prediction power output, using performance driving economy as target, repeatedly the objective function of building and solving optimization operation, is in a few days rolled
Dynamic optimization operating scheme；
S4: based in a few days rolling-operation scheme, region multipotency source supply system real time execution scheme is acquired.
2. multipotency source supply system in region according to claim 1 in a few days rolls collaboration optimizing operation method, feature exists
In: in step sl, the system equipment is electric energy storage gas turbine, the system mathematic model are as follows:
Pgt=Fgt·LHV·ηgt
In formula: PgtIndicate the reality output electrical power of miniature gas turbine, kW；
Pgt0Indicate the electric rating of miniature gas turbine, kW；
LHV is expressed as the Lower heat value of natural gas, 9.78kWh/m3；
FgtIt is expressed as natural gas consumption, m3/h；
HgtIt is expressed as high-temperature flue gas excess heat, kW；
ηgtIt is expressed as gas turbine proficiency；
η loss is expressed as heat waste crash rate, takes 0.13；
A, b, c, d are expressed as gas electricity generator efficiency factor, value 0.1068,0.4174, -0.3095,0.0753；
Relationship is expressed as between electric energy storage device capacity and charge-discharge electric power:
In formula:Indicate electric energy storage device in t period storage capacity, kWh；
Indicate storage capacity of the electric energy storage device in the t-1 period, kWh；
Respectively indicate electric energy storage device store in the t period, discharge power, kW；
δESIt is expressed as self-discharge rate, value 0.001；
ηES.c、ηES.dIt is expressed as storage, discharging efficiency, value 0.9；
Δ t indicates to store the duration of heat release period, h.
3. multipotency source supply system in region according to claim 1 in a few days rolls collaboration optimizing operation method, feature exists
In: in step s 2, the objective function of the optimization operation of collaboration a few days ago are as follows:
MinC=Cf+Cex+Cst+Cw
Wherein CfFor gas consumption expense:
Wherein CexExpense is interacted with the power of power grid for region multipotency source supply system:
Wherein CstFor the switching cost of extension set group in the middle part of the multipotency source supply system of region:
Wherein CwFor the maintenance cost of all devices in the multipotency source supply system of region:
In formula, cfFor Gas Prices；
QjIt (t) is equipment j in t period gas consumption；
T indicates total optimization run the period number, and taking 15 minutes is an optimization run the period duration, totally 96 optimization in 24 hours one day
Run the period；
ce.b(t) and ce.s(t) t period power purchase and sale of electricity price are respectively indicated；
Pe.b(t) and Pe.s(t) t period power purchase or sale of electricity power are respectively indicated；
cst.nIndicate the primary expense of unit n start and stop, N indicates the unit number of meter and switching cost；
Un(t) start and stop state of the unit n in the t period is indicated, shutdown takes 0, and booting takes 1；
cw.iIndicate the unit power maintenance cost of equipment iI；Pi(t) indicate equipment i in the power of t period；I is system equipment number；
Δ t indicates each period duration, is taken as 0.25 hour.
4. multipotency source supply system in region according to claim 1 in a few days rolls collaboration optimizing operation method, feature exists
In: in step s 2, it is described a few days ago collaboration optimization operation the constraint condition optimized a few days ago include: cool and thermal power power-balance about
Beam, the bound constraint of equipment power output, unit climb and fall rate constraint, Unit Commitment time-constrain, polynary stored energy capacitance and polynary
Energy storage units limits, system restriction；And/or
In step s 2, the optimization operating scheme of collaboration a few days ago includes: institute in system in 96 optimization run the periods in one day
There are the start and stop state and power output size of controllable device.
5. in a few days rolling collaboration optimizing operation method according to multipotency source supply system in region described in claim 1, it is characterised in that:
In step s3, the objective function of rolling optimization operation are as follows:
MinC=Cf+Cex+Cw
Wherein CfFor gas consumption expense:
Wherein CexExpense is interacted with the power of power grid for region multipotency source supply system:
Wherein CwFor the maintenance cost of all devices in the multipotency source supply system of region:
In formula, T indicates total optimization run the period number, take 15 minutes for an optimization run the period duration, 24 hours one day totally 96
A optimization run the period, when every two hours once being rolled, one day rolling optimization 12 times is more excellent than preceding primary reduction 8 every time
Change the period.
6. a kind of region multipotency source supply system in a few days rolls collaboration optimized operating device, it is characterised in that: include:
Modeling module is used for analyzed area multipotency source supply system structure, extracts equipment operation characteristic in multipotency source supply system
With can properties of flow, and establish system equipment and system mathematic model on this basis；
Module one is solved, is run for being modeled based on systematic mathematical with current energy prices information, building collaboration optimization a few days ago
Objective function, fully considers the constraint condition optimized a few days ago, and solution obtains region multipotency source supply system and optimization is cooperateed with to transport a few days ago
Row scheme；
Module two is solved, for optimizing Unit Commitment scheme and nearest load prediction number in operating scheme based on collaboration a few days ago
It predicts to contribute according to renewable energy power generation, equally using performance driving economy as target, repeatedly constructs the mesh of simultaneously solving optimization operation
Scalar functions obtain in a few days rolling optimization operating scheme；
Output module, for acquiring region multipotency source supply system real time execution scheme based in a few days rolling-operation scheme.
7. multipotency source supply system in region according to claim 6 in a few days rolls collaboration optimized operating device, feature exists
In: the system equipment is electric energy storage gas turbine, the system mathematic model are as follows:
Pgt=Fgt·LHV·ηgt
In formula:
PgtIndicate the reality output electrical power of miniature gas turbine, kW；
Pgt0Indicate the electric rating of miniature gas turbine, kW；
LHV is expressed as the Lower heat value of natural gas, 9.78kWh/m3；
FgtIt is expressed as natural gas consumption, m3/h；
HgtIt is expressed as high-temperature flue gas excess heat, kW；
ηgtIt is expressed as gas turbine proficiency；
η loss is expressed as heat waste crash rate, takes 0.13；
A, b, c, d are expressed as gas electricity generator efficiency factor, value 0.1068,0.4174, -0.3095,0.0753；
Relationship is expressed as between electric energy storage device capacity and charge-discharge electric power:
In formula:
Indicate electric energy storage device in t period storage capacity, kWh；
Indicate storage capacity of the electric energy storage device in the t-1 period, kWh；
Respectively indicate electric energy storage device store in the t period, discharge power, kW；
δESIt is expressed as self-discharge rate, value 0.001；
ηES.c、ηES.dIt is expressed as storage, discharging efficiency, value 0.9；
Δ t indicates to store the duration of heat release period, h.
8. multipotency source supply system in region according to claim 7 in a few days rolls collaboration optimized operating device, feature exists
In: the objective function of the optimization operation of collaboration a few days ago is
MinC=Cf+Cex+Cst+Cw
Wherein CfFor gas consumption expense:
Wherein CexExpense is interacted with the power of power grid for region multipotency source supply system:
Wherein CstFor the switching cost of extension set group in the middle part of the multipotency source supply system of region:
Wherein CwFor the maintenance cost of all devices in the multipotency source supply system of region:
In formula,
cfFor Gas Prices；
QjIt (t) is equipment j in t period gas consumption；
T indicates total optimization run the period number, and taking 15 minutes is an optimization run the period duration, totally 96 optimization in 24 hours one day
Run the period；
ce.b(t) and ce.s(t) t period power purchase and sale of electricity price are respectively indicated；
Pe.b(t) and Pe.s(t) t period power purchase or sale of electricity power are respectively indicated；
cst.nIndicate the primary expense of unit n start and stop, N indicates the unit number of meter and switching cost；
Un(t) start and stop state of the unit n in the t period is indicated, shutdown takes 0, and booting takes 1；
cw.iIndicate the unit power maintenance cost of equipment iI；
Pi(t) indicate equipment i in the power of t period；I is system equipment number；
Δ t indicates each period duration, is taken as 0.25 hour.
9. multipotency source supply system in region according to claim 8 in a few days rolls collaboration optimized operating device, feature exists
In: the objective function of the optimization operation of collaboration a few days ago optimized a few days ago are as follows:
MinC=Cf+Cex+Cw
Wherein CfFor gas consumption expense:
Wherein CexExpense is interacted with the power of power grid for region multipotency source supply system:
Wherein CwFor the maintenance cost of all devices in the multipotency source supply system of region:
In formula, T indicates total optimization run the period number, take 15 minutes for an optimization run the period duration, 24 hours one day totally 96
A optimization run the period, when every two hours once being rolled, one day rolling optimization 12 times is more excellent than preceding primary reduction 8 every time
Change the period.
10. multipotency source supply system in region according to claim 9 in a few days rolls collaboration optimized operating device, feature exists
In:
The rolling refers to that every mistake is once predicted and solved for two hours, and the rolling optimization time is that every two hour carries out one
Secondary, the period of rolling-operation is each period duration 15 minutes, per hour includes 4 optimization run the periods.
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| CN111047153A (en) * | 2019-11-22 | 2020-04-21 | 佛山电建集团有限公司 | Energy distribution method, device, equipment and storage medium |
| CN111967651A (en) * | 2020-07-21 | 2020-11-20 | 浙江中新电力工程建设有限公司 | Energy system optimization method based on block chain in complex scene |
| CN113807589A (en) * | 2021-09-18 | 2021-12-17 | 广东电网有限责任公司 | Rolling optimization method and device for operator energy storage based on model prediction |
| CN114781866A (en) * | 2022-04-21 | 2022-07-22 | 河海大学 | Comprehensive energy system robust intraday rolling scheduling method based on data driving |
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| CN108229025A (en) * | 2018-01-04 | 2018-06-29 | 东南大学 | A kind of more microgrid active distribution system economic optimization dispatching methods of supply of cooling, heating and electrical powers type |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110414779A (en) * | 2019-06-18 | 2019-11-05 | 华电电力科学研究院有限公司 | A kind of distributed system multi-objective optimization design of power method based on improvement MRM method |
| CN111047153A (en) * | 2019-11-22 | 2020-04-21 | 佛山电建集团有限公司 | Energy distribution method, device, equipment and storage medium |
| CN111967651A (en) * | 2020-07-21 | 2020-11-20 | 浙江中新电力工程建设有限公司 | Energy system optimization method based on block chain in complex scene |
| CN111967651B (en) * | 2020-07-21 | 2023-09-26 | 浙江中新电力工程建设有限公司 | Block chain-based energy system optimization method in complex scene |
| CN113807589A (en) * | 2021-09-18 | 2021-12-17 | 广东电网有限责任公司 | Rolling optimization method and device for operator energy storage based on model prediction |
| CN113807589B (en) * | 2021-09-18 | 2024-01-26 | 广东电网有限责任公司 | Rolling optimization method and device for energy storage of operators based on model prediction |
| CN114781866A (en) * | 2022-04-21 | 2022-07-22 | 河海大学 | Comprehensive energy system robust intraday rolling scheduling method based on data driving |
| CN114781866B (en) * | 2022-04-21 | 2023-10-31 | 河海大学 | Robust intra-day rolling scheduling method for comprehensive energy system based on data driving |
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