CN108960564A - Supply of cooling, heating and electrical powers type microgrid distribution system dispatching method based on centralization modeling - Google Patents
Supply of cooling, heating and electrical powers type microgrid distribution system dispatching method based on centralization modeling Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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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
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
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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
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The present invention relates to a kind of supply of cooling, heating and electrical powers type microgrid distribution system dispatching method based on centralization modeling, technical characterstic is: the following steps are included: step 1, analysis supply of cooling, heating and electrical powers type microgrid equipment composition and energy flow relationship；Step 2 carries out Independent modeling to supply of cooling, heating and electrical powers type microgrid equipment；Step 3, using supply of cooling, heating and electrical powers type microgrid in supply of cooling, heating and electrical powers type microgrid distribution system and active distribution network as the same optimization main body, using concentrating modeling method to establish economic optimization objective function；Economic optimization bound for objective function described in step 4, establishment step 3；Step 5 calls Cplex to solve problem in MATLAB, obtains operation plan.The present invention improves the comprehensive energy efficiency of supply of cooling, heating and electrical powers type microgrid, can satisfy hot and cold, the electrical load requirement of supply of cooling, heating and electrical powers type microgrid, avoids occurring abandonment in more microgrid active distribution systems, abandons the case where waste of energy such as electricity.
Description
Technical field
The invention belongs to energy Internet technical fields, are related to the economic load dispatching method of distribution system, especially a kind of base
In the supply of cooling, heating and electrical powers type microgrid distribution system dispatching method of centralization modeling.
Background technique
Supply of cooling, heating and electrical powers (combined cooling, heating andpower) system will be due to that will freeze, heat and supply
Electricity combines, it can be achieved that the step of the energy efficiently utilizes, and reduces the pressure to environmental protection.And supply of cooling, heating and electrical powers type microgrid can incite somebody to action
CCHP system and various loads, renewable energy, energy-storage system etc. are combined together, and meet the needs of user is hot and cold, electric, by
To more and more extensive practical engineering application.With the popularization of microgrid, more and more supply of cooling, heating and electrical powers type microgrids will be connect
Enter region distribution system, and single supply of cooling, heating and electrical powers is had focused largely on to the research of supply of cooling, heating and electrical powers type microgrid in existing document
In the economic optimization scheduling problem of type microgrid, to multiple supply of cooling, heating and electrical powers type microgrids for accessing active distribution network in the form of microgrid group
Research it is less.Therefore, the optimization Economic Dispatch Problem of the more microgrid distribution systems of supply of cooling, heating and electrical powers type is studied, is analyzed each cold and hot
Operation plan has highly important reality a few days ago for equipment power output and optimal economy in electricity supply type microgrid and active distribution network
Meaning.
Summary of the invention
The purpose of the present invention is to provide it is a kind of design it is reasonable, scientific and effective, energy-saving practical based on centralization modeling
Supply of cooling, heating and electrical powers type microgrid distribution system dispatching method.
The present invention solves its realistic problem and adopts the following technical solutions to achieve:
A kind of supply of cooling, heating and electrical powers type microgrid distribution system dispatching method based on centralization modeling, comprising the following steps:
Step 1, analysis supply of cooling, heating and electrical powers type microgrid equipment composition and energy flow relationship；
Step 2 carries out Independent modeling to supply of cooling, heating and electrical powers type microgrid equipment；
Step 3, using in supply of cooling, heating and electrical powers type microgrid distribution system supply of cooling, heating and electrical powers type microgrid and active distribution network as
The same optimization main body establishes economic optimization objective function using concentration modeling method；
Economic optimization bound for objective function described in step 4, establishment step 3；
Step 5 calls Cplex to solve problem in MATLAB, obtains operation plan.
Moreover, equipment mainly includes gas turbine, powering device and energy storage in the supply of cooling, heating and electrical powers type microgrid of the step 1
Device；
Moreover, the step 2 the following steps are included:
(1) mathematical model of gas turbine is established:
Wherein, β is the load factor of gas turbine, ηcFor gas turbine power generation efficiency, ηrFor gas turbine heat recovery efficiency,For gas turbine rated generation efficiency, QrFor gas turbine Waste Heat Recovery amount,For gas turbine power generation power, VGTFor fortune
Amount of natural gas consumed by row time internal-combustion gas turbine engine, LHVNGFor heating value of natural gas, Δ t is from t moment to the time at t+1 moment
Length, a, b, c, d represent constant；
(2) mathematical model of powering device is established:
Pout=Pinη
Wherein, PoutFor output power, PinFor input power, η is the efficiency of powering device；
(3) energy storage device model is established:
Wherein, SstorIt (t) is the energy storage of t moment, Δ t is from t moment to the time span at t+1 moment, Pabs(t) and
PreleaIt (t) is t moment charge-discharge electric power, ηabs, ηreleaIt is respectively energy storage efficiency, energy releasing efficiency and certainly damage energy system with u
Number；
Moreover, the step 3 method particularly includes: by the active distribution network containing supply of cooling, heating and electrical powers type microgrid, by excellent
Change the power output of different generators in the power output and active distribution network network of the distinct device in supply of cooling, heating and electrical powers type microgrid
System operation cost is minimized, objective function is as follows:
Wherein, FDNFor the total cost of production of power distribution network, FGFor the cost of electricity-generating of generating set in power distribution network, m is cool and thermal power
The number of alliance type microgrid, Ffuel,jFor the fuel cost in j-th of supply of cooling, heating and electrical powers type microgrid, PGiIt (t) is i-th conventional machine
Power output of the group in period t, ai、bi、ciFor corresponding cost coefficient, n indicates the quantity of generating set, NTFor scheduling time, cgas
For the price of natural gas,For gas fired-boiler consumption amount of natural gas,For gas turbine power generation power, LHVNGIt is natural
Gas calorific value, ηcFor the generating efficiency of gas turbine.
Moreover, the constraint condition of the step 4 includes the constraint of active distribution network constraint and supply of cooling, heating and electrical powers type microgrid:
(1) constraint of active distribution network includes:
A) power balance
B) generate electricity upper and lower bound
PGi,min≤PGi(t)≤PGi,max
C) non-firm power constrains
D) electric energy from power grid to micro-capacitance sensor exchanges constraint
Wherein,For the power load of t moment active distribution network,Active distribution network and supply of cooling, heating and electrical powers type are micro-
The exchange power between j is netted, m is the number of supply of cooling, heating and electrical powers type microgrid, and n is the number of generator in power distribution network, PGiIt (t) is the
I platform conventional power unit period t power output,WithRespectively maximum value and minimum value, PGi,maxAnd PGi,minRespectively generate electricity
The minimum and maximum generated energy of machine i, RDNIt (t) is the stand-by electric energy of active distribution network；
(2) constraint of supply of cooling, heating and electrical powers type microgrid includes:
A) electrical power balances
B) cold power-balance
C) heating power balance
Wherein,For gas turbine power generation power,For energy storage device charge-discharge electric power, discharges for positive value, be charged as
Negative value,For supply of cooling, heating and electrical powers type microgrid and active distribution network by when electrical power cross-over value, P (t) is that system goes out activity of force,For the demand power of supply of cooling, heating and electrical powers type microgrid electric load,For electric refrigerating machine power consumption function in supply of cooling, heating and electrical powers type microgrid
Rate,For the refrigeration work consumption of Absorption Refrigerator,For the refrigeration work consumption of electric refrigerating machine,For supply of cooling, heating and electrical powers type microgrid
The demand power of middle refrigeration duty,For the output thermal power of gas fired-boiler,For the heats power of steam and hot water heat-exchanger rig,For the demand power of thermic load in supply of cooling, heating and electrical powers type microgrid.
The advantages of the present invention:
The present invention proposes that a kind of supply of cooling, heating and electrical powers type micro-grid system based on centralization modeling optimizes economic load dispatching method, will
The supply of cooling, heating and electrical powers type microgrid and active distribution network for accessing active distribution network in the form of microgrid group are adopted as the same optimization object
With the modeling method of centralization, the economic load dispatching plan a few days ago of supply of cooling, heating and electrical powers type microgrid distribution system is obtained.Specifically, (1)
Refrigeration duty, thermic load, electrical load requirement in each supply of cooling, heating and electrical powers type microgrid of the invention are met, and each microgrid
In there is not abandonment, abandon the case where waste of energy such as electricity.(2) entire supply of cooling, heating and electrical powers type microgrid distribution system of the invention
Economic cost reaches minimum value, has highest economic benefit.
Detailed description of the invention
Fig. 1 is process flow diagram of the invention；
Fig. 2 is supply of cooling, heating and electrical powers type microgrid energy supply structure figure of the present invention；
Fig. 3 is supply of cooling, heating and electrical powers type microgrid distribution system structure chart of the present invention；
Fig. 4 (a) hot and cold, electric load data and power distribution network electric load datagrams for CCHP microgrid of the present invention；
Fig. 4 (b) is CHP microgrid optimized distributionl data of the present invention and CCP microgrid is cold, electric load Data Data figure；
Fig. 5 is supply of cooling, heating and electrical powers type microgrid Optimized Operation electric load profile of equilibrium before CCHP days in the present invention；
Fig. 6 is supply of cooling, heating and electrical powers type microgrid Optimized Operation refrigeration duty profile of equilibrium before CCHP days in the present invention；
Fig. 7 is supply of cooling, heating and electrical powers type microgrid Optimized Operation heat load balance curve before CCHP days in the present invention；
Fig. 8 is combined cooling and power type microgrid Optimized Operation electric load profile of equilibrium before CCP days in the present invention；
Fig. 9 is combined cooling and power type microgrid Optimized Operation refrigeration duty before CCP days in the present invention；
Figure 10 is cogeneration type microgrid Optimized Operation electric load profile of equilibrium before CHP days in the present invention；
Figure 11 is cogeneration type microgrid Optimized Operation heat load balance curve before CHP days in the present invention；
Figure 12 is unit output and electric load curve in power distribution network；
Specific embodiment
The embodiment of the present invention is described in further detail below in conjunction with attached drawing:
The invention discloses a kind of supply of cooling, heating and electrical powers type microgrid distribution system dispatching methods based on centralization modeling, first
To supply of cooling, heating and electrical powers type microgrid equipment composition and energy flow relationship analyze, supply of cooling, heating and electrical powers type microgrid by it is hot and cold, electric,
4 kinds of form energy integrations of gas are into a system, using gas type alliance unit as distributed generation resource, in supply of cooling, heating and electrical powers type microgrid
Including distributed generation resource, energy storage device, power supply device.Then the more microgrid masters of supply of cooling, heating and electrical powers type are established using concentration modeling method
Dynamic distribution system economic optimization target, and set up corresponding constraint condition；Finally Cplex is called to carry out problem in MATLAB
It solves, obtains operation plan a few days ago.
It is a kind of based on centralization modeling supply of cooling, heating and electrical powers type microgrid distribution system dispatching method, as shown in Figure 1, include with
Lower step:
Step 1, analysis supply of cooling, heating and electrical powers type microgrid equipment composition and energy flow relationship；
In the present embodiment, in the supply of cooling, heating and electrical powers type microgrid of the step 1 equipment mainly include gas turbine, energy supply set
Standby and energy storage device；
In the present embodiment, the present invention uses supply of cooling, heating and electrical powers type microgrid equipment and energy flow relationship as shown in Fig. 2,
Customer charge is divided into 3 seed type of refrigeration duty, thermic load and electric load.Supply of cooling, heating and electrical powers type microgrid according to microgrid internal loading type and
The difference of powering device is divided into 3 seed types: supply of cooling, heating and electrical powers type microgrid, combined cooling and power type microgrid (combined heating
And power, CCP) and cogeneration type microgrid (combined cooling and power, CHP).Gas turbine in microgrid
It produces electricl energy, waste heat enters waste heat boiler as by-product and collects.The production equipment of electric energy has gas turbine, wind in microgrid
Power generates electricity and from power grid power purchase, and electric refrigerating machine can be charged and discharged by consumption electric energy production cold energy, energy storage device.In microgrid
Cold energy is provided by Absorption Refrigerator and electric refrigerating machine, and wherein the input of Absorption Refrigerator is the thermal energy in waste heat boiler, defeated
It is out cold energy.Thermal energy is provided by heat-exchanger rig and waste heat boiler in microgrid, and wherein the input of heat-exchanger rig is the cigarette of waste heat boiler
The thermal energy of gas form exports the thermal energy for hot water in microgrid or hot steam form.
Step 2 carries out Independent modeling to supply of cooling, heating and electrical powers type microgrid equipment；
The step 2 the following steps are included:
(1) mathematical model of gas turbine is established:
Wherein, β is the load factor of gas turbine, ηcFor gas turbine power generation efficiency, ηrFor gas turbine heat recovery efficiency,For gas turbine rated generation efficiency, QrFor gas turbine Waste Heat Recovery amount,For gas turbine power generation power, VGTFor operation
Amount of natural gas consumed by time internal-combustion gas turbine engine, LHVNGFor heating value of natural gas, Δ t is long to the time at t+1 moment from t moment
Degree, a, b, c, d represent constant；
(2) mathematical model of powering device is established:
Pout=Pinη
Wherein, PoutFor output power, PinFor input power, η is the efficiency of powering device；
(3) energy storage device model is established:
Wherein, SstorIt (t) is the energy storage of t moment, ΔtFor from t moment to t+1 moment, Pabs(t) and Prelea(t) be t when
Carve charge-discharge energy, ηabs, ηreleaIt is respectively energy storage efficiency, energy releasing efficiency and certainly damage energy coefficient with u；
Step 3, using in supply of cooling, heating and electrical powers type microgrid distribution system supply of cooling, heating and electrical powers type microgrid and active distribution network as
The same optimization main body establishes economic optimization objective function using concentration modeling method；
The step 3 method particularly includes: cold and hot by optimizing by the active distribution network containing supply of cooling, heating and electrical powers type microgrid
The power output of different generators is come minimum in the power output and active distribution network network of distinct device in electricity supply type microgrid
Change system operation cost, objective function is as follows:
Wherein, FDNFor the total cost of production of power distribution network, FGFor the cost of electricity-generating of generating set in power distribution network, m is cool and thermal power
The number of alliance type microgrid, Ffuel,jFor the fuel cost in j-th of supply of cooling, heating and electrical powers type microgrid, PGiIt (t) is i-th conventional machine
Power output of the group in period t, ai、bi、ciFor corresponding cost coefficient, n indicates the quantity of generating set, NTFor scheduling time, cgas
For the price of natural gas,For gas fired-boiler consumption amount of natural gas,For gas turbine power generation power, LHVNGIt is natural
Gas calorific value, ηcFor the generating efficiency of gas turbine.
Economic optimization bound for objective function described in step 4, establishment step 3；
The constraint condition of the step 4 includes the constraint of active distribution network constraint and supply of cooling, heating and electrical powers type microgrid:
(1) constraint of active distribution network includes:
1. power balance
2. generate electricity upper and lower bound
PGi,min≤PGi(t)≤PGi,max
3. non-firm power constrains
4. the electric energy from power grid to micro-capacitance sensor exchanges constraint
Wherein,For the power load of t moment active distribution network,Active distribution network and supply of cooling, heating and electrical powers type are micro-
The exchange power between j is netted, m is the number of supply of cooling, heating and electrical powers type microgrid, and n is the number of generator in power distribution network, PGiIt (t) is the
I platform conventional power unit period t power output,WithRespectively maximum value and minimum value, PGi,maxAnd PGi,minRespectively generate electricity
The minimum and maximum generated energy of machine i, RDNIt (t) is the stand-by electric energy of active distribution network；
(2) constraint of supply of cooling, heating and electrical powers type microgrid includes:
1. electrical power balances
2. cold power-balance
3. heating power balance
Wherein,For gas turbine power generation power,For energy storage device charge-discharge electric power, discharges for positive value, be charged as
Negative value,For supply of cooling, heating and electrical powers type microgrid and active distribution network by when electrical power cross-over value, P (t) is that system goes out activity of force,For the demand power of supply of cooling, heating and electrical powers type microgrid electric load,For electric refrigerating machine power consumption function in supply of cooling, heating and electrical powers type microgrid
Rate,For the refrigeration work consumption of Absorption Refrigerator,For the refrigeration work consumption of electric refrigerating machine,For supply of cooling, heating and electrical powers type microgrid
The demand power of middle refrigeration duty,For the output thermal power of gas fired-boiler,For the heats power of steam and hot water heat-exchanger rig,For the demand power of thermic load in supply of cooling, heating and electrical powers type microgrid.
Step 5 calls Cplex to solve problem in MATLAB, obtains operation plan.
The validity and warp of optimization economic load dispatching method proposed in this paper are verified with nascent state city example of calculation in Tianjin
Ji property, Fig. 3 are the structure chart of supply of cooling, heating and electrical powers type microgrid distribution system, and microgrid 1 is CCHP microgrid, and microgrid 2 is CHP microgrid, micro-
Net 3 is CCP microgrid, and 3 microgrids pass through progress electric energy transmission between cable and active distribution network and interact, are not present between each microgrid
Power trade.Fig. 4 (a) and Fig. 4 (b) are a few days ago pre- of refrigeration duty in 3 microgrids and active distribution network, thermic load and electric load
Measured value.Fig. 5 is the electric load profile of equilibrium of CCHP microgrid, and as can be seen from Figure, the electric load in CCHP microgrid balances to obtain
Meet, does not have to abandon the situation of electricity.Fig. 6 is the refrigeration duty profile of equilibrium of CCHP microgrid, as can be seen from Figure, CCHP microgrid
In refrigeration duty balance and met, refrigeration duty is provided by Absorption Refrigerator and electric refrigerating machine, and without there is waste cold energy
The case where.Fig. 7 is the heat load balance curve of CCHP microgrid, and as can be seen from Figure, the heat load balance in CCHP microgrid obtains
To satisfaction, thermic load is provided by gas fired-boiler and heat-exchanger rig, and without there is the case where waste thermal energy.Fig. 8 and Fig. 9 is CCP
The electric load and the refrigeration duty profile of equilibrium of microgrid, as can be seen from Figure, refrigeration duty and the electric load balance of CCP microgrid all obtain
Meet, and without there is the case where waste electric energy and cold energy.Figure 10 and Figure 11 is the electric load and heat load balance song of CHP microgrid
Line, as can be seen from Figure, the thermic load and electric load of CHP microgrid balance are all met, and without occur waste electric energy and
The case where thermal energy.Figure 12 is the power output situation and electric load curve of generating set in active distribution network, as can be seen from Figure, 2
The power output of platform generating set meets maximum power constraint.Table 1 is using centralized modeling method and distributed modeling method to cold
The comparison of the economic cost of cogeneration type microgrid distribution system, wherein distributed modeling method is by supply of cooling, heating and electrical powers type microgrid
Modeled with active distribution network as 2 Interest Main Bodies, in table it can be seen from compared with distributed modeling method, use
The centralized modeling method that this patent proposes can make the economic cost of whole system reduce 3.32%.
Table 1
It is emphasized that embodiment of the present invention be it is illustrative, without being restrictive, therefore the present invention includes
It is not limited to embodiment described in specific embodiment, it is all to be obtained according to the technique and scheme of the present invention by those skilled in the art
Other embodiments, also belong to the scope of protection of the invention.
Claims (5)
1. it is a kind of based on centralization modeling supply of cooling, heating and electrical powers type microgrid distribution system dispatching method, it is characterised in that: including with
Lower step:
Step 1, analysis supply of cooling, heating and electrical powers type microgrid equipment composition and energy flow relationship；
Step 2 carries out Independent modeling to supply of cooling, heating and electrical powers type microgrid equipment；
Step 3, using in supply of cooling, heating and electrical powers type microgrid distribution system supply of cooling, heating and electrical powers type microgrid and active distribution network as same
A optimization main body establishes economic optimization objective function using concentration modeling method；
Economic optimization bound for objective function described in step 4, establishment step 3；
Step 5 calls Cplex to solve problem in MATLAB, obtains operation plan.
2. a kind of supply of cooling, heating and electrical powers type microgrid distribution system dispatching party based on centralization modeling according to claim 1
Method, it is characterised in that: equipment mainly includes gas turbine, powering device and storage in the supply of cooling, heating and electrical powers type microgrid of the step 1
It can device.
3. a kind of supply of cooling, heating and electrical powers type microgrid distribution system dispatching party based on centralization modeling according to claim 1
Method, it is characterised in that: the step 2 the following steps are included:
(1) mathematical model of gas turbine is established:
Wherein, β is the load factor of gas turbine, ηcFor gas turbine power generation efficiency, ηrFor gas turbine heat recovery efficiency,For
Gas turbine rated generation efficiency, QrFor gas turbine Waste Heat Recovery amount,For gas turbine power generation power, VGTWhen to run
Between amount of natural gas consumed by internal-combustion gas turbine engine, LHVNGFor heating value of natural gas, Δ t is long to the time at t+1 moment from t moment
Degree, a, b, c, d represent constant；
(2) mathematical model of powering device is established:
Pout=Pinη
Wherein, PoutFor output power, PinFor input power, η is the efficiency of powering device；
(3) energy storage device model is established:
Wherein, SstorIt (t) is the energy storage of t moment, Δ t is from t moment to t+1 moment, Pabs(t) and Prelea(t) it is filled for t moment
Discharge energy, ηabs, ηreleaIt is respectively energy storage efficiency, energy releasing efficiency and certainly damage energy coefficient with u.
4. a kind of supply of cooling, heating and electrical powers type microgrid distribution system dispatching party based on centralization modeling according to claim 1
Method, it is characterised in that: the step 3 method particularly includes: by the active distribution network containing supply of cooling, heating and electrical powers type microgrid, by excellent
Change the power output of different generators in the power output and active distribution network network of the distinct device in supply of cooling, heating and electrical powers type microgrid
System operation cost is minimized, objective function is as follows:
Wherein, FDNFor the total cost of production of power distribution network, FGFor the cost of electricity-generating of generating set in power distribution network, m is supply of cooling, heating and electrical powers
The number of type microgrid, Ffuel,jFor the fuel cost in j-th of supply of cooling, heating and electrical powers type microgrid, PGi(t) exist for i-th conventional power unit
The power output of period t, ai、bi、ciFor corresponding cost coefficient, n indicates the quantity of generating set, NTFor scheduling time, cgasFor day
The price of right gas,For gas fired-boiler consumption amount of natural gas,For gas turbine power generation power, LHVNGFor natural gas heat
Value, ηcFor the generating efficiency of gas turbine.
5. a kind of supply of cooling, heating and electrical powers type microgrid distribution system dispatching party based on centralization modeling according to claim 1
Method, it is characterised in that: the constraint condition of the step 4 includes the constraint of active distribution network constraint and supply of cooling, heating and electrical powers type microgrid:
(1) constraint of active distribution network includes:
A) power balance
B) generate electricity upper and lower bound
PGi,min≤PGi(t)≤PGi,max
C) non-firm power constrains
D) electric energy from power grid to micro-capacitance sensor exchanges constraint
Wherein,For the power load of t moment active distribution network,Active distribution network and supply of cooling, heating and electrical powers type microgrid j it
Between exchange power, m be supply of cooling, heating and electrical powers type microgrid number, n be power distribution network in generator number, PGi(t) often for i-th
Advise unit period t power output,WithRespectively maximum value and minimum value, PGi,maxAnd PGi,minRespectively generator i's
Minimum and maximum generated energy, RDNIt (t) is the stand-by electric energy of active distribution network；
(2) constraint of supply of cooling, heating and electrical powers type microgrid includes:
A) electrical power balances
B) cold power-balance
C) heating power balance
Wherein,For gas turbine power generation power,For energy storage device charge-discharge electric power, discharges for positive value, is charged as negative value,For supply of cooling, heating and electrical powers type microgrid and active distribution network by when electrical power cross-over value, P (t) is that system goes out activity of force,
For the demand power of supply of cooling, heating and electrical powers type microgrid electric load,For electric refrigerating machine power consumption in supply of cooling, heating and electrical powers type microgrid,For the refrigeration work consumption of Absorption Refrigerator,For the refrigeration work consumption of electric refrigerating machine,For in supply of cooling, heating and electrical powers type microgrid
The demand power of refrigeration duty,For the output thermal power of gas fired-boiler,For the heats power of steam and hot water heat-exchanger rig,For the demand power of thermic load in supply of cooling, heating and electrical powers type microgrid.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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