CN110119524A - A kind of energy resource system Multiple Time Scales interaction optimizing operation method and system - Google Patents
A kind of energy resource system Multiple Time Scales interaction optimizing operation method and system Download PDFInfo
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- CN110119524A CN110119524A CN201910144273.6A CN201910144273A CN110119524A CN 110119524 A CN110119524 A CN 110119524A CN 201910144273 A CN201910144273 A CN 201910144273A CN 110119524 A CN110119524 A CN 110119524A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F30/20—Design optimisation, verification or simulation
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- 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
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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
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Abstract
The present invention discloses a kind of energy resource system Multiple Time Scales interaction optimizing operation method and system.The optimizing operation method includes: the heating network established according to described for dsc data in practical heating system for thermal model；According to the delay time for determining transmission heat ratio same period transmission electricity for thermal model；Establish the electric load model and thermic load model of load side user；The model of operator is established according to the operating status of energy resource system；The benefit function for determining user determines the benefit function of the operator according to operator's model, obtains user's benefit function and operator's benefit function；Betting model is established using theory of games according to user's benefit function, operator's benefit function and delay time, the user and the corresponding game strategies of the maximum benefit of the operator are obtained according to betting model.Establishing betting model by theory of games can guarantee that operator and user respectively under the premise of maximum revenue, reach game equilibrium.
Description
Technical field
The present invention relates to energy field, more particularly to a kind of energy resource system Multiple Time Scales interact optimizing operation method and
System.
Background technique
Integrated energy system is able to achieve the scientific dispatch of various energy resources in system, realizes the efficient utilization of the energy, effectively slow
The energy problem that solution faces at present, alleviating energy crisis.But electric, heat energy subsystem dynamic process time scale in system
It differs larger, cannot achieve and optimize scheduling in same time scale.If only thermal energy transmission is idealized as without heat
Delay, then there are gaps with actual conditions.In addition, industrial park includes a variety of energy main bodys, workload demand amount is big, but energy benefit
With low efficiency, cause to the electricity shortage with energy main body.It is therefore desirable to interact to the integrated energy system of industrial park excellent
Change, the enthusiasm of each demand response for participating in main body can not only be promoted, additionally it is possible to provide better energy supply clothes for user
Business.
Summary of the invention
The object of the present invention is to provide a kind of more time rulers of the energy resource system that can be realized same time scale Optimized Operation
Degree interaction optimizing operation method and system.
To achieve the above object, the present invention provides following schemes:
A kind of energy resource system Multiple Time Scales interaction optimizing operation method, the optimizing operation method include:
Acquire energy resource system for dsc data and power data；
According to the heating network in the practical heating system of dsc data foundation for thermal model；
According to the delay time for determining transmission heat ratio same period transmission electricity for thermal model；
According to the electric load model and thermic load model for establishing load side user for dsc data and the power data；
The model of operator is established according to the operating status of the energy resource system, obtains operator's model；
The benefit function that the user is determined according to the electric load model of the user, the thermic load model, according to institute
The benefit function that operator's model determines the operator is stated, user's benefit function and operator's benefit function are obtained；
It is established according to user's benefit function, operator's benefit function and the delay time using theory of games
Betting model obtains the user and the corresponding game strategies of the maximum benefit of the operator according to the betting model.
Optionally, the heating network established according to described for dsc data in practical heating system is specific for thermal model
Include:
The temperature difference for obtaining carrier side and user side, obtains pressure and user's lateral pressure at the main pipe of the heating tube；
According to pressure at the main pipe and user's lateral pressure specific frictional resistance；
Wherein, PopeFor pressure at the main pipe, PuserFor user's lateral pressure, L is pipe range, αjFor jet chimney part
The ratio of resistance and on-way resistance；
It tables look-up to obtain at steam outlet and user entry according to the pressure value of the carrier side and the user side
Compare volume；
Steam averag density is calculated than volume according to described:
Wherein, ρopeFor density at main pipe, ρuserFor user side density；
The specific frictional resistance is standardized, standard specific frictional resistance is obtained
It is tabled look-up determining pipe diameter d according to the standard specific frictional resistance；
Steam mass flow:
Wherein, u is heating agent flow velocity, m/s；ρ is heating agent density, kg/m3；D is pipe diameter；
Temperature drop of the steam from exit to from user entry:
Wherein, qsplFor unit length heat supply pipeline heat waste, L is pipe range, and c is heating agent thermal capacitance；
Wherein, twFor insulating tube hull-skin temperature, tsFor tube circumference soil environment temperature, λgFor the thermal coefficient of soil, Hl
For pipeline equivalent buried depth, Disl,outFor insulating layer outer diameter,
Wherein, twFor insulating tube hull-skin temperature, tsFor tube circumference soil environment temperature, t0For instrumentation tubes hull-skin temperature,
λgFor the thermal coefficient of soil, λislFor the thermal coefficient for keeping the temperature layer material, D0For the pipe outside diameter that works, HlIt (m) is pipeline equivalent buried depth；
The temperature drop
Optionally, described to determine that the delay time of transmission heat ratio same period transmission electricity specifically wraps for thermal model according to described
It includes:
The heat lag time
Wherein, KdelayFor heat lag coefficient；
Wherein, λislFor insulating layer thermal conductivity, λprtFor protective layer thermal conductivity, Disl,inFor insulating layer internal diameter, DprtFor protection
Layer outer diameter；
Optionally, it is described according to it is described for dsc data and the power data establish load side user electric load model and
Thermic load model specifically includes:
Electric load model
Calculate the sum of the net load that system net load of all users at the h moment is all users:
Wherein,Load for the user i in moment h, Pi hFor the photovoltaic predicted value at i-th family, n is that user is total
Number,Net load for the user i in moment h, NLiFor the user i all the period of time at each moment net load set；
It whether is in the peak clipping period according to electricity consumption, electric load model of the user i in moment h is defined as follows:
Wherein, hex is the set of out-of-limit period,For the user i moment h fixation electric load,It is described
User i moment h translatable load incrementss,Be the user i in moment h can reduction plans amount.
Thermic load model
Overall heat duty of the user i in moment h:
Wherein,For the user i the moment h fixation thermic load,It is the user i the moment h's
Load can be increased.
Optionally, the operating status according to the energy resource system establishes the model of operator, obtains operator's model
It specifically includes:
It is equal to the energy resource system in h-T in moment h total heat dutiesdelayWhen total quantity of heat production
The generated energy of the energy resource system of the moment h:
Wherein, ηchpFor generating efficiency, ηlossFor heat loss factor, δheatFor hot coefficient, θ is hotspot stress, and L is that natural gas is low
Calorific value.
Optionally, the benefit that the user is determined according to electric load model, the thermic load model of the user
Function determines that the benefit function of the operator specifically includes according to operator's model:
The utility models of user are the net profit model of user:
For with can utility function
Wherein, kiFor preference coefficient；
Energy cost is used in moment h for user i
Wherein,For the sale of electricity electricity price of operator, γ is unit heating power price；
The economic compensation obtained for user i in the participation peak clipping at h moment
Wherein,Indicate that user's peak clipping compensation electricity price for participating in interaction is given by operator, d indicates that operator gives user's
Thermic load discount；
lsiFor translatable load, lciFor can reduction plans, Δ hiFor thermic load can be increased；
Operator's utility function model:
proM=EM-CM
For operator's income
Wherein,For moment h sale of electricity valence from operator to power grid,For moment h power purchase from operator to power grid
Valence, γ are unit heating power price,For the sale of electricity electricity price of operator, LhFor in user's total load of moment h,For the energy
Total power generation of the source system in moment h；
CMFor operator's income
Wherein, pgasFor Gas Prices,For translatable load of out-of-limit period,For the out-of-limit period can reduction plans,For peak clipping making up price,For more thermic load can be increased in limited time,Electricity price is compensated for peak clipping.
Optionally, described to be used according to user's benefit function, operator's benefit function and the delay time
Theory of games establishes betting model, described to obtain the user and the maximum benefit pair of the operator according to the betting model
The game strategies answered specifically include:
Using the operator as leader, the user is used as with follower；
The game strategies of the operator are that peak clipping compensates electricity price, the game strategies of the user be translatable electric load,
It directly cuts down electric load and increases thermic load；
Initial peak clipping compensation electricity price is sent to the user by the operator；
The user formulates user's game strategies according to the initial peak clipping compensation electricity price and the benefit function, and
User's game strategies are sent to the operator；
The operator calculates operator's benefit value according to user's game strategies and the benefit function；
Judge whether operator's benefit value and user's benefit value reach maximum value, if so, game reaches equal
Weighing apparatus, the initial peak clipping compensation electricity price is optimal game strategies；Otherwise, the operator reformulates peak clipping compensation electricity price.
To achieve the goals above, the present invention also provides following schemes:
A kind of energy resource system Multiple Time Scales interaction optimization operating system, the operating system include:
Data acquisition module, for acquire energy resource system for dsc data and power data；
Heat supply model building module, for according to the confession for the heating network in the practical heating system of dsc data foundation
Thermal model；
Delay time determining module, for according to the delay for determining transmission heat ratio same period transmission electricity for thermal model
Time；
Load side model building module, for establishing load side user's for dsc data and the power data according to described
Electric load model and thermic load model；
Operator's model building module is obtained for establishing the model of operator according to the operating status of the energy resource system
Obtain operator's model；
Benefit function determining module, for according to the electric load model of the user, thermic load model determination
The benefit function of user, determines the benefit function of the operator according to operator's model, obtain user's benefit function and
Operator's benefit function；
Game strategies obtain module, for according to user's benefit function, operator's benefit function and described prolonging
The slow time establishes betting model using theory of games, obtains the user according to the betting model and the operator is maximum
The corresponding game strategies of benefit.
The specific embodiment provided according to the present invention, the invention discloses following technical effects: the invention discloses one kind
Energy resource system Multiple Time Scales interact optimizing operation method and system, by calculating the heat lag time, and are dissolved into operation
In the foundation of quotient's basic model and benefit function model, establish the model of Multiple Time Scales energy transportation process, realize by
Heat lag takes into account in the operation interactive process of the optimization between user and operator.The solution of present invention application leader-followers games frame contains
The interaction of heat lag optimizes operation problem, can guarantee that under the premise of maximum revenue, it is equal respectively to reach game by operator and user
Weighing apparatus, acquires equilibrium solution, in gambling process, constantly interacts between operator and user, and dynamic generates the current generation most
Dominant strategy, so that Optimization Solution is more efficient, feasibility is stronger, and convergence result more meets reality.
Detailed description of the invention
It in order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, below will be to institute in embodiment
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without any creative labor, can also be according to these attached drawings
Obtain other attached drawings.
Fig. 1 is the flow chart that energy resource system Multiple Time Scales provided by the invention interact optimizing operation method；
Fig. 2 is the composition block diagram of energy resource system Multiple Time Scales provided by the invention interaction optimization operating system.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
The object of the present invention is to provide a kind of more time rulers of the energy resource system that can be realized same time scale Optimized Operation
Degree interaction optimizing operation method and system.
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, with reference to the accompanying drawing and specific real
Applying mode, the present invention is described in further detail.
As shown in Figure 1, the present invention provides a kind of energy resource system Multiple Time Scales to interact optimizing operation method, the optimization
Operation method includes:
Step 100: acquire energy resource system for dsc data and power data；
Step 200: according to the heating network in the practical heating system of dsc data foundation for thermal model；
Step 300: according to the delay time for determining transmission heat ratio same period transmission electricity for thermal model；
Step 400: according to the electric load model and heat for establishing load side user for dsc data and the power data
Load model；
Step 500: establishing the model of operator according to the operating status of the energy resource system, obtain operator's model；
Step 600: the benefit letter of the user is determined according to the electric load model of the user, the thermic load model
Number determines the benefit function of the operator according to operator's model, obtains user's benefit function and operator's benefit letter
Number；
Step 700: game is used according to user's benefit function, operator's benefit function and the delay time
Theory establishes betting model, obtains the user and the corresponding game of the maximum benefit of the operator according to the betting model
Strategy.
The step 200: according to having for thermal model for the heating network established in practical heating system for dsc data
Body includes:
The temperature difference for obtaining carrier side and user side, obtains pressure and user's lateral pressure at the main pipe of the heating tube；
According to pressure at the main pipe and user's lateral pressure specific frictional resistance；
Wherein, PopeFor pressure at the main pipe, PuserFor user's lateral pressure, L is pipe range, αjFor jet chimney part
The ratio of resistance and on-way resistance；
It tables look-up to obtain at steam outlet and user entry according to the pressure value of the carrier side and the user side
Compare volume；
Steam averag density is calculated than volume according to described:
Wherein, ρopeFor density at main pipe, ρuserFor user side density；
The specific frictional resistance is standardized, standard specific frictional resistance is obtained
It is tabled look-up determining pipe diameter d according to the standard specific frictional resistance；
Steam mass flow:
Wherein, u is heating agent flow velocity, m/s；ρ is heating agent density, kg/m3；D is pipe diameter；
Temperature drop of the steam from exit to from user entry:
Wherein, qsplFor unit length heat supply pipeline heat waste, L is pipe range, and c is heating agent thermal capacitance；
Wherein, twFor insulating tube hull-skin temperature, tsFor tube circumference soil environment temperature, λgFor the thermal coefficient of soil, Hl
For pipeline equivalent buried depth, Disl,outFor insulating layer outer diameter,
Wherein, twFor insulating tube hull-skin temperature, tsFor tube circumference soil environment temperature, t0For instrumentation tubes hull-skin temperature,
λgFor the thermal coefficient of soil, λislFor the thermal coefficient for keeping the temperature layer material, D0For the pipe outside diameter that works, HlIt (m) is pipeline equivalent buried depth；
The temperature drop
Described 300: determine that the delay time of transmission heat ratio same period transmission electricity specifically includes for thermal model according to described:
The heat lag time
Wherein, KdelayFor heat lag coefficient；
Wherein, λislFor insulating layer thermal conductivity, λprtFor protective layer thermal conductivity, Disl,inFor insulating layer internal diameter, DprtFor protection
Layer outer diameter；
The step 400: according to the electric load model for establishing load side user for dsc data and the power data
It is specifically included with thermic load model:
Electric load model
Calculate the sum of the net load that system net load of all users at the h moment is all users:
Wherein,Load for the user i in moment h, Pi hFor the photovoltaic predicted value at i-th family, n is that user is total
Number,Net load for the user i in moment h, NLiFor the user i all the period of time at each moment net load set；
It whether is in the peak clipping period according to electricity consumption, electric load model of the user i in moment h is defined as follows:
Wherein, hex is the set of out-of-limit period,For the user i moment h fixation electric load,It is described
User i moment h translatable load incrementss,Be the user i in moment h can reduction plans amount；
Thermic load model
Overall heat duty of the user i in moment h:
Wherein,For the user i the moment h fixation thermic load,It is the user i in the moment h
Increase load.
The step 500: establishing the model of operator according to the operating status of the energy resource system, obtains operator's model
It specifically includes:
It is equal to the energy resource system in h-T in moment h total heat dutiesdelayWhen total quantity of heat production
The generated energy of the energy resource system of the moment h:
Wherein, ηchpFor generating efficiency, ηlossFor heat loss factor, δheatFor hot coefficient, θ is hotspot stress, and L is that natural gas is low
Calorific value.
The step 600: the benefit of the user is determined according to the electric load model of the user, the thermic load model
Function determines that the benefit function of the operator specifically includes according to operator's model:
The utility models of user are the net profit model of user:
For with can utility function
Wherein, kiFor preference coefficient；
Energy cost is used in moment h for user i
Wherein,For the sale of electricity electricity price of operator, γ is unit heating power price；
The economic compensation obtained for user i in the participation peak clipping at h moment
Wherein,Indicate that user's peak clipping compensation electricity price for participating in interaction is given by operator, d indicates that operator gives user's
Thermic load discount；
lsiFor translatable load, lciFor can reduction plans, Δ hiFor thermic load can be increased；
Operator's utility function model:
proM=EM-CM
For operator's income
Wherein,For moment h sale of electricity valence from operator to power grid,For moment h power purchase from operator to power grid
Valence, γ are unit heating power price,For the sale of electricity electricity price of operator, LhFor in user's total load of moment h,For the energy
Total power generation of the source system in moment h；
CMFor operator's income
Wherein, pgasFor Gas Prices,For translatable load of out-of-limit period,For the out-of-limit period can reduction plans,For peak clipping making up price,For more thermic load can be increased in limited time,Electricity price is compensated for peak clipping.
The step 700: it is used according to user's benefit function, operator's benefit function and the delay time
Theory of games establishes betting model, described to obtain the user and the maximum benefit pair of the operator according to the betting model
The game strategies answered specifically include:
Using the operator as leader, the user is used as with follower；
The game strategies of the operator are that peak clipping compensates electricity price, the game strategies of the user be translatable electric load,
It directly cuts down electric load and increases thermic load；
Initial peak clipping compensation electricity price is sent to the user by the operator；
The user formulates user's game strategies according to the initial peak clipping compensation electricity price and the benefit function, and
User's game strategies are sent to the operator；
The operator calculates operator's benefit value according to user's game strategies and the benefit function；
Judge whether operator's benefit value and user's benefit value reach maximum value, if so, game reaches equal
Weighing apparatus, the initial peak clipping compensation electricity price is optimal game strategies；Otherwise, the operator reformulates peak clipping compensation electricity price.
As shown in Fig. 2, the present invention also provides a kind of energy resource system Multiple Time Scales to interact optimization operating system, the fortune
Row system includes:
Data acquisition module 1, for acquire energy resource system for dsc data and power data；
Heat supply model building module 2, for according to the heating network in the practical heating system of dsc data foundation
For thermal model；
Delay time determining module 3, for determining prolonging for transmission heat ratio same period transmission electricity for thermal model according to described
The slow time；
Load side model building module 4, for establishing load side user for dsc data and the power data according to described
Electric load model and thermic load model；
Operator's model building module 5 is obtained for establishing the model of operator according to the operating status of the energy resource system
Obtain operator's model；
Benefit function determining module 6, for according to the electric load model of the user, thermic load model determination
The benefit function of user, determines the benefit function of the operator according to operator's model, obtain user's benefit function and
Operator's benefit function；
Game strategies obtain module 7, for according to user's benefit function, operator's benefit function and described prolonging
The slow time establishes betting model using theory of games, obtains the user according to the betting model and the operator is maximum
The corresponding game strategies of benefit.
Beneficial effects of the present invention:
By using interaction optimizing operation method of the present invention, the result after being optimized is applied to actual industrial
Garden integrated energy system considers in the Optimized Operation a few days ago of heat lag effect.Based on interaction optimization method in the present invention
Basic load data include electric load, thermic load (steam load), meet requirement of the industrial park for load type；It participates in excellent
The interaction both sides of change process are garden operator and user, meet the development actual conditions of industrial park；Consider that thermal energy is transmitting
In the process since the characteristic of heat transfer medium causes transmission time to be slower than the electric energy of same time tranfer, thus caused by heat lag imitate
It answers, i.e. thermal energy and electric energy transmission is asynchronous, and optimum results more meet actual production requirement.The target of interaction optimization is for one day
In, customer charge is limited beyond the peak load of power grid defined, and user receives the peak clipping compensation of operator, by adjusting that can put down
Load is moved, it can the reduction of reduction plans and increase thermic load realization for out-of-limit period peak load.By using institute of the present invention
Optimization method is stated, optimum results are applied to the industrial park integrated energy system Optimized Operation a few days ago for considering heat lag effect
In, ENERGY PLANNING, reasonable arrangement can be carried out in advance according to demand history data under the premise of guaranteeing that meeting customer charge requires
User's energy, and guarantee that load within the KB limit that power grid is set, evades the risk of load moon line in advance, is conducive to electricity
Net is safely and reliably run.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with other
The difference of embodiment, the same or similar parts in each embodiment may refer to each other.For system disclosed in embodiment
For, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is said referring to method part
It is bright.
Used herein a specific example illustrates the principle and implementation of the invention, and above embodiments are said
It is bright to be merely used to help understand method and its core concept of the invention；At the same time, for those skilled in the art, foundation
Thought of the invention, there will be changes in the specific implementation manner and application range.In conclusion the content of the present specification is not
It is interpreted as limitation of the present invention.
Claims (8)
1. a kind of energy resource system Multiple Time Scales interact optimizing operation method, which is characterized in that the optimizing operation method includes:
Acquire energy resource system for dsc data and power data；
According to the heating network in the practical heating system of dsc data foundation for thermal model；
According to the delay time for determining transmission heat ratio same period transmission electricity for thermal model；
According to the electric load model and thermic load model for establishing load side user for dsc data and the power data；
The model of operator is established according to the operating status of the energy resource system, obtains operator's model；
The benefit function that the user is determined according to the electric load model of the user, the thermic load model, according to the fortune
Battalion's quotient module type determines the benefit function of the operator, obtains user's benefit function and operator's benefit function；
Game is established using theory of games according to user's benefit function, operator's benefit function and the delay time
Model obtains the user and the corresponding game strategies of the maximum benefit of the operator according to the betting model.
2. a kind of energy resource system Multiple Time Scales according to claim 1 interact optimizing operation method, which is characterized in that institute
State specifically including for thermal model according to the heating network established in practical heating system for dsc data:
The temperature difference for obtaining carrier side and user side, obtains pressure and user's lateral pressure at the main pipe of the heating tube；
According to pressure at the main pipe and user's lateral pressure specific frictional resistance；
Wherein, PopeFor pressure at the main pipe, PuserFor user's lateral pressure, L is pipe range, αjFor jet chimney local resistance
With the ratio of on-way resistance；
Table look-up to obtain the ratio body at steam outlet and user entry according to the pressure value of the carrier side and the user side
Product；
Steam averag density is calculated than volume according to described:
Wherein, ρopeFor density at main pipe, ρuserFor user side density；
The specific frictional resistance is standardized, standard specific frictional resistance is obtained
It is tabled look-up determining pipe diameter d according to the standard specific frictional resistance；
Steam mass flow:
Wherein, u is heating agent flow velocity, m/s；ρ is heating agent density, kg/m3；D is pipe diameter；
Temperature drop of the steam from exit to from user entry:
Wherein, qsplFor unit length heat supply pipeline heat waste, L is pipe range, and c is heating agent thermal capacitance；
Wherein, twFor insulating tube hull-skin temperature, tsFor tube circumference soil environment temperature, λgFor the thermal coefficient of soil, HlFor pipe
Road equivalent buried depth, Disl,outFor insulating layer outer diameter,
Wherein, twFor insulating tube hull-skin temperature, tsFor tube circumference soil environment temperature, t0For instrumentation tubes hull-skin temperature, λgFor
The thermal coefficient of soil, λislFor the thermal coefficient for keeping the temperature layer material, D0For the pipe outside diameter that works, HlIt (m) is pipeline equivalent buried depth；
The temperature drop
3. a kind of energy resource system Multiple Time Scales according to claim 1 interact optimizing operation method, which is characterized in that institute
It states and determines that the delay time of transmission heat ratio same period transmission electricity specifically includes for thermal model according to described:
The heat lag time
Wherein, KdelayFor heat lag coefficient；
Wherein, λislFor insulating layer thermal conductivity, λprtFor protective layer thermal conductivity, Disl,inFor insulating layer internal diameter, DprtOutside for protective layer
Diameter；
4. a kind of energy resource system Multiple Time Scales according to claim 1 interact optimizing operation method, which is characterized in that institute
It states and establishes the electric load model of load side user for dsc data and the power data and thermic load model specifically wraps according to described
It includes:
Electric load model
Calculate the sum of the net load that system net load of all users at the h moment is all users:
Wherein,Load for the user i in moment h, Pi hFor the photovoltaic predicted value at i-th family, n is total number of users,
Net load for the user i in moment h, NLiFor the user i all the period of time at each moment net load set；
It whether is in the peak clipping period according to electricity consumption, electric load model of the user i in moment h is defined as follows:
Wherein, hex is the set of out-of-limit period,For the user i moment h fixation electric load,For the user i
In the translatable load incrementss of moment h,Be the user i in moment h can reduction plans amount.
Thermic load model
Overall heat duty of the user i in moment h:
Wherein,For the user i the moment h fixation thermic load,For user i the increasing in the moment h
Application of load.
5. a kind of energy resource system Multiple Time Scales according to claim 1 interact optimizing operation method, which is characterized in that institute
The model for establishing operator according to the operating status of the energy resource system is stated, operator's model is obtained and specifically includes:
It is equal to the energy resource system in h-T in moment h total heat dutiesdelayWhen total quantity of heat production
The generated energy of the energy resource system of the moment h:
Wherein, ηchpFor generating efficiency, ηlossFor heat loss factor, δheatFor hot coefficient, θ is hotspot stress, and L is natural gas low-heat
Value.
6. a kind of energy resource system Multiple Time Scales according to claim 1 interact optimizing operation method, which is characterized in that institute
State the electric load model according to the user, the thermic load model determines the benefit function of the user, according to the operation
Quotient module type determines that the benefit function of the operator specifically includes:
The utility models of user are the net profit model of user:
For with can utility function
Wherein, kiFor preference coefficient；
Energy cost is used in moment h for user i
Wherein,For the sale of electricity electricity price of operator, γ is unit heating power price；
The economic compensation obtained for user i in the participation peak clipping at h moment
Wherein,Indicate that user's peak clipping compensation electricity price for participating in interaction is given by operator, the heat that user gives in d expression operator is negative
Lotus discount；
lsiFor translatable load, lciFor can reduction plans, Δ hiFor thermic load can be increased；
Operator's utility function model:
proM=EM-CM
For operator's income
Wherein,For moment h sale of electricity valence from operator to power grid,For the power purchase valence in moment h operator to power grid, γ
For unit heating power price,For the sale of electricity electricity price of operator, LhFor in user's total load of moment h,For the energy system
It unites in the total power generation of moment h；
CMFor operator's income
Wherein, pgasFor Gas Prices,For translatable load of out-of-limit period,For the out-of-limit period can reduction plans,
For peak clipping making up price,For more thermic load can be increased in limited time,Electricity price is compensated for peak clipping.
7. a kind of energy resource system Multiple Time Scales according to claim 1 interact optimizing operation method, which is characterized in that institute
It states and game mould is established using theory of games according to user's benefit function, operator's benefit function and the delay time
Type, it is described specifically to be wrapped according to the betting model acquisition user and the corresponding game strategies of the maximum benefit of the operator
It includes:
Using the operator as leader, the user is used as with follower；
The game strategies of the operator are that peak clipping compensates electricity price, and the game strategies of the user are translatable electric load, directly
It cuts down electric load and increases thermic load；
Initial peak clipping compensation electricity price is sent to the user by the operator；
The user formulates user's game strategies according to the initial peak clipping compensation electricity price and the benefit function, and by institute
It states user's game strategies and is sent to the operator；
The operator calculates operator's benefit value according to user's game strategies and the benefit function；
Judge whether operator's benefit value and user's benefit value reach maximum value, if so, game reaches balanced, institute
Stating initial peak clipping compensation electricity price is optimal game strategies；Otherwise, the operator reformulates peak clipping compensation electricity price.
8. a kind of energy resource system Multiple Time Scales interaction optimization operating system, which is characterized in that the operating system includes:
Data acquisition module, for acquire energy resource system for dsc data and power data；
Heat supply model building module, for according to the heating network established for dsc data in practical heating system for hot-die
Type；
Delay time determining module, when for according to the delay for determining transmission heat ratio same period transmission electricity for thermal model
Between；
Load side model building module, for negative according to the electricity for establishing load side user for dsc data and the power data
Lotus model and thermic load model；
Operator's model building module is transported for establishing the model of operator according to the operating status of the energy resource system
Seek quotient module type；
Benefit function determining module, for determining the user according to electric load model, the thermic load model of the user
Benefit function, determine the benefit function of the operator according to operator's model, obtain user's benefit function and operation
Quotient's benefit function；
Game strategies obtain module, when for according to user's benefit function, operator's benefit function and the delay
Between betting model established using theory of games, the user and the maximum benefit of the operator are obtained according to the betting model
Corresponding game strategies.
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