CN109388908B - System standby modeling method and device for comprehensive energy system and storage medium - Google Patents

System standby modeling method and device for comprehensive energy system and storage medium Download PDF

Info

Publication number
CN109388908B
CN109388908B CN201811287537.5A CN201811287537A CN109388908B CN 109388908 B CN109388908 B CN 109388908B CN 201811287537 A CN201811287537 A CN 201811287537A CN 109388908 B CN109388908 B CN 109388908B
Authority
CN
China
Prior art keywords
energy
equipment
standby
new energy
model
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201811287537.5A
Other languages
Chinese (zh)
Other versions
CN109388908A (en
Inventor
雷金勇
郭祚刚
袁智勇
马溪原
陈柔伊
李鹏
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
CSG Electric Power Research Institute
China Southern Power Grid Co Ltd
Original Assignee
CSG Electric Power Research Institute
China Southern Power Grid Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by CSG Electric Power Research Institute, China Southern Power Grid Co Ltd filed Critical CSG Electric Power Research Institute
Priority to CN201811287537.5A priority Critical patent/CN109388908B/en
Publication of CN109388908A publication Critical patent/CN109388908A/en
Application granted granted Critical
Publication of CN109388908B publication Critical patent/CN109388908B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0637Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00Details relating to CAD techniques
    • G06F2111/04Constraint-based CAD
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Theoretical Computer Science (AREA)
  • Economics (AREA)
  • Physics & Mathematics (AREA)
  • Strategic Management (AREA)
  • General Physics & Mathematics (AREA)
  • Tourism & Hospitality (AREA)
  • Health & Medical Sciences (AREA)
  • Marketing (AREA)
  • Educational Administration (AREA)
  • General Business, Economics & Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Health & Medical Sciences (AREA)
  • Development Economics (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • Game Theory and Decision Science (AREA)
  • Primary Health Care (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a system standby modeling method of a comprehensive energy system, which can be used for establishing a system standby model of the whole comprehensive energy system by combining a pre-established new energy equipment standby model, an energy storage equipment standby model, other system equipment models and a total operation cost function of the system, and modeling the whole comprehensive energy system from the angles of various energy forms and combining new energy equipment and energy storage equipment as standby, thereby ensuring the safe and stable operation of the comprehensive energy system. In addition, the invention also discloses a system standby modeling device and a storage medium of the comprehensive energy system, and the effects are as above.

Description

System standby modeling method and device for comprehensive energy system and storage medium
Technical Field
The present invention relates to the field of integrated energy, and in particular, to a system standby modeling method and apparatus for an integrated energy system, and a storage medium.
Background
In the traditional power system, the standby is mainly set for sudden faults of the power grid and guaranteeing safe and economical operation of the power grid. The standby in the power system is mainly divided into the following three cases, wherein the first case is standby caused by unit faults, the second case is standby caused by load change, and the third case is standby caused by power transmission equipment faults. At present, the backup modeling of the power system mainly carries out rotary backup modeling, and how to consider uncertainty factors such as fault outage, load prediction error, power transmission line constraint, power transmission line random fault and the like of a generator set so as to determine the optimal rotary backup capacity required by the safe operation of the system.
Although the standby modeling method is well established for the electric power system, for the integrated energy system, the standby modeling method for the electric power system only comprising a single energy form can only perform standby modeling on the electric power system in the integrated energy system, but cannot be well applied to other energy forms in the integrated energy system, on the other hand, the energy storage equipment in various energy forms such as heat/cold energy storage, natural gas energy storage and the like in the multi-coupling system formed by the integrated energy system has considerable standby capability, and the new energy in the integrated energy system has a higher duty ratio in the integrated energy system and the new energy treatment prediction technology is continuously mature, so that the consideration of taking the energy storage equipment and the new energy as the system standby of the integrated energy system has important value for safe and stable operation of the integrated energy system.
Therefore, how to combine the energy storage equipment of the comprehensive energy system and the new energy to carry out system standby modeling on the comprehensive energy system, so as to ensure the safe and stable operation of the comprehensive energy system is a problem to be solved by the technicians in the field.
Disclosure of Invention
The invention aims to provide a system standby modeling method, device and storage medium for a comprehensive energy system, which are used for carrying out system standby modeling on the comprehensive energy system by combining energy storage equipment and new energy of the comprehensive energy system, so that safe and stable operation of the comprehensive energy system is ensured.
In order to achieve the above purpose, the embodiment of the present invention provides the following technical solutions:
first, the embodiment of the invention provides a system standby modeling method of an integrated energy system, which comprises the following steps:
acquiring an energy cost function of energy in the comprehensive energy system and a standby cost function of the energy;
determining a system total operating cost function of the integrated energy system using the energy cost function and the backup cost function;
acquiring a new energy equipment standby model and an energy storage equipment standby model which are pre-established in the comprehensive energy system;
and establishing a system standby model of the comprehensive energy system by using the first constraint condition corresponding to the new energy equipment standby model, the second constraint condition corresponding to the energy storage equipment standby model, the third constraint condition corresponding to other system equipment models and the system total operation cost function.
Preferably, the establishing process of the standby model of the energy storage device specifically includes:
acquiring operation constraint conditions and operation parameters of energy storage equipment in the comprehensive energy system;
calculating the moment of inertia and sagging coefficient of the integrated energy system when primary frequency modulation is performed by using the operation constraint conditions and the operation parameters so as to establish a primary frequency modulation standby model of the energy storage equipment;
acquiring an operation state of the energy storage equipment and overload power corresponding to the operation state;
establishing an energy storage overload model corresponding to the operation state by utilizing the operation parameters and overload power corresponding to the operation state;
the energy storage equipment standby model comprises the primary frequency modulation standby model and the energy storage overload model.
Preferably, the establishing process of the standby model of the new energy equipment specifically comprises the following steps:
acquiring primary frequency modulation standby equation constraint and primary frequency modulation maximum standby capacity of new energy equipment when the comprehensive energy system conducts primary frequency modulation;
establishing a primary frequency modulation standby model of the new energy equipment by using the primary frequency modulation standby equation constraint and the primary frequency modulation maximum standby capacity;
establishing a new energy power generation power model of the new energy equipment when the comprehensive energy system carries out three-time frequency modulation by using an exponential smoothing method;
Acquiring the number of the new energy devices, the outage rate of each new energy device and the capacity of each new energy device;
establishing a shutdown capacity model of the new energy equipment by utilizing the shutdown rate of the new energy equipment and the capacity of the new energy equipment;
acquiring construction value data of the new energy equipment and energy value data of the new energy equipment;
establishing a new energy cost model of the new energy equipment by utilizing the construction value data and the energy value data;
the new energy equipment standby model comprises the new energy equipment primary frequency modulation standby model, the new energy power generation power model, the new energy equipment outage capacity model and the new energy cost model.
Preferably, the energy cost function is specifically expressed by the following formula:
Figure BDA0001849400720000031
wherein f (p i,t ) For the energy consumption, NG is the number of system devices in the comprehensive energy system, NT is the number of time periods in the comprehensive energy system, t is the time period serial number, ρ i,t (p i,t ) An electric energy value function for t period of the ith system equipment in the comprehensive energy systemNumber, p i,t Energy consumption information su of t period of ith system equipment in the comprehensive energy system i,t And a start-up cost function of a t period of the ith system equipment in the comprehensive energy system.
Preferably, the standby cost function is specifically expressed by the following formula:
Figure BDA0001849400720000032
wherein g (r i,t ) For the standby cost c i,t Stand-by for the reserved transient response of the t period of the ith system equipment in the comprehensive energy system, r i,t C, for the reserved standby of the t period of the ith system equipment in the comprehensive energy system i,t (r i,t ) And (3) a standby cost function of t time periods of ith system equipment in the comprehensive energy system.
Preferably, said utilizing said energy cost function and said backup cost function to determine a total system operating cost function of said integrated energy system specifically comprises:
determining a minimum value of a sum of the energy cost function and the standby cost function as a total operation cost function of the system;
correspondingly, the total operation cost function of the system is specifically expressed by the following formula:
min z=f(p i,t )+g(r i,t )。
preferably, the first constraint condition corresponding to the standby model of the new energy device specifically includes:
the up-regulation standby constraint condition of the comprehensive energy system and the down-regulation standby constraint condition of the comprehensive energy system;
the constraint condition for up-regulation is specifically expressed by the following formula:
Figure BDA0001849400720000041
Figure BDA0001849400720000042
Figure BDA0001849400720000043
In the above, US i For the up-regulation of the ith new energy equipment, T is the running total time of the new energy equipment, UR i The standby climbing rate is adjusted for the ith new energy device,
Figure BDA0001849400720000044
for the maximum power of the ith new energy equipment in the comprehensive energy system, P Gi For the power of the ith new energy equipment in the comprehensive energy system, USR is the system standby capacity before the new energy equipment is integrated into the comprehensive energy system, USW is the up-regulation standby configured after the new energy equipment is integrated into the comprehensive energy system, and delta P is the power of the ith new energy equipment in the comprehensive energy system w ' Power generation prediction error for the New energy device, E p The outage capacity of the new energy equipment;
the constraint condition for the downregulation is specifically expressed by the following formula:
Figure BDA0001849400720000045
Figure BDA0001849400720000046
wherein DS is i For the down-regulation of the ith new energy equipment in the integrated energy system, DR i For the downward adjustment of the standby climbing rate of the ith new energy device in the integrated energy system,
Figure BDA0001849400720000047
and the minimum power of the ith new energy equipment in the comprehensive energy system is obtained.
Second, an embodiment of the present invention provides a system standby modeling apparatus for an integrated energy system, including:
the first acquisition module is used for acquiring an energy utilization cost function of energy in the comprehensive energy system and a standby cost function of the energy;
A determining module configured to determine a system total operating cost function of the integrated energy system using the energy cost function and the backup cost function;
the second acquisition module is used for acquiring a new energy equipment standby model and an energy storage equipment standby model which are pre-established in the comprehensive energy system;
the building module is used for building a system standby model of the comprehensive energy system by using the first constraint condition corresponding to the new energy equipment standby model, the second constraint condition corresponding to the energy storage equipment standby model, the third constraint condition corresponding to other system equipment models and the total operation cost function.
Third, an embodiment of the present invention provides another system standby modeling apparatus for an integrated energy system, including:
a memory for storing a computer program;
a processor for executing a computer program stored in the memory to implement the steps of the system backup modeling method of any of the above-mentioned integrated energy systems.
Fourth, an embodiment of the present invention discloses a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of the system standby modeling method of the integrated energy system as described in any one of the above.
It can be seen that, in the system standby modeling method of the comprehensive energy system disclosed in the embodiment of the invention, firstly, an energy consumption cost function and an energy standby cost function of an energy source in the comprehensive energy system are obtained, then, a system total operation cost function of the comprehensive energy system is determined by using the energy consumption cost function and the standby cost function, secondly, a new energy equipment standby model and an energy storage equipment standby model which are built in advance in the comprehensive energy system are obtained, and finally, a system standby model of the comprehensive energy system is built by using a first constraint condition corresponding to the new energy equipment standby model, a second constraint condition corresponding to the energy storage equipment standby model, a third constraint condition corresponding to other system equipment models and the system total operation cost function. Compared with the mode of modeling only a single energy form of the electric power system in the prior art, by adopting the scheme, the system standby model of the whole comprehensive energy system can be established by combining the pre-established new energy equipment standby model, the energy storage equipment standby model, other system equipment models and the total operation cost function of the system, and the modeling is performed on the whole comprehensive energy system from the angles of multiple energy forms and combining the new energy equipment and the energy storage equipment as standby, so that the safe and stable operation of the comprehensive energy system is ensured. In addition, the embodiment of the invention also discloses a system standby modeling device and a storage medium of the comprehensive energy system, and the effects are as above.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow diagram of a system backup modeling method for an integrated energy system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a system standby modeling apparatus of an integrated energy system according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a system backup modeling apparatus for an integrated energy system according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment of the invention discloses a system standby modeling method, a device and a storage medium of a comprehensive energy system, which are used for carrying out system standby modeling on the comprehensive energy system by combining energy storage equipment and new energy of the comprehensive energy system, thereby ensuring safe and stable operation of the comprehensive energy system.
Referring to fig. 1, fig. 1 is a schematic flow chart of a system standby modeling method of an integrated energy system according to an embodiment of the present invention, where the method includes:
s101, acquiring an energy utilization cost function and an energy standby cost function of energy in the comprehensive energy system.
Specifically, in this embodiment, the overall objective function in the integrated energy system is the overall operation cost function of the system of the integrated energy system, and the overall operation cost function of the system is the minimization of the costs of various energy sources such as electricity purchasing, heat purchasing, cold purchasing and gas purchasing, and the corresponding standby costs of various energy sources. The energy consumption cost of the comprehensive energy system refers to the energy consumption cost of various energy sources used by various system devices in the comprehensive energy system, and the energy standby cost function refers to the standby cost of various energy sources (cold, hot, gas and electricity) in the comprehensive energy system.
Wherein, as a preferred embodiment, the energy cost function is specifically expressed by the following formula:
Figure BDA0001849400720000071
wherein f (p i,t ) For energy consumption, NG is the number of system devices in the integrated energy system, NT is the number of time slots in the integrated energy system, t is the time slot serial number, ρ i,t (p i,t ) For the t-period electric energy cost function of the ith system equipment in the integrated energy system, p i,t For the ith system equipment in the integrated energy systemEnergy consumption information of t period su i,t The method is a start-up cost function of t time periods of ith system equipment in the comprehensive energy system.
The standby cost function is specifically expressed by the following formula:
Figure BDA0001849400720000072
wherein g (r i,t ) For spare expenses, c i,t For the reserved transient response standby of the t period of the ith system equipment in the comprehensive energy system, r i,t C for the reserved standby of the t period of the ith system equipment in the integrated energy system i,t (r i,t ) Is a standby cost function of t time periods of ith system equipment in the integrated energy system.
In the two formulas, the system equipment in the integrated energy system comprises: the novel energy device comprises novel energy generator sets and the like, wherein the energy storage device comprises an electric energy storage set, a thermal energy storage set, a natural gas energy storage set, a control system, a refrigerating system, an inversion system, an alternating current-direct current conversion system, an electric energy storage wiring and the like, and the other system devices are common generator sets, control systems and the like in the comprehensive energy system. Electric energy cost function ρ i,t (p i,t ) Can be an electric energy price function, a start-up cost function su i,t Can be a start-up price function and a standby cost function c i,t (r i,t ) May be a reserve price function.
S102, determining a system total operation cost function of the comprehensive energy system by using the energy cost function and the standby cost function.
Specifically, in this embodiment, the total operating cost function of the system is the minimization of the sum of the energy cost function and the backup cost function.
In this embodiment, step S102 specifically includes:
determining the minimum value of the sum of the energy cost function and the standby cost function as the total operation cost function of the system, wherein the total operation cost function of the system is expressed by the following formula:
min z=f(p i,t )+g(r i,t )
in order to simplify the consideration, the energy price functions of electric energy, heat energy, cold energy and gas energy declared by the system equipment, the starting price function and the instantaneous response multi-energy standby price function are taken as fixed values, and the total running cost function of the system is a linear function.
S103, acquiring a new energy equipment standby model and an energy storage equipment standby model which are built in the comprehensive energy system in advance.
Specifically, in this embodiment, the following detailed description is first made on the standby model of the energy storage device, and the following description on the energy storage device may be used as a preferred embodiment of the present invention:
The first is to explain the structure and control system of the energy storage device: the energy storage device in the embodiment of the invention mainly comprises a control system, a refrigerating system, an inversion system, an AC/DC conversion system and an electric energy storage wiring, and the electric energy storage device in the energy storage device can realize bidirectional active and reactive power change simultaneously by combining a control method, so that the provided control range can cover four quadrants of a P-Q coordinate. It is known that the ability of an electrical energy storage system to provide active power quickly can improve the frequency control capability of the system.
In the embodiment of the invention, for the dynamic electric energy storage equipment, the electric energy storage can be charged and discharged in the comprehensive energy system, and the simulation of the electric energy storage dynamic system can be realized. The established standby model of the energy storage equipment fully considers the inconstant characteristic of the electric energy storage voltage, establishes the relation between the voltage of the electric energy storage equipment and the running condition of a battery in the comprehensive energy system, and considers the time delay caused by untimely reaction of electronic devices in signal transmission. The controller of the electric energy storage device mainly provides primary frequency modulation control of the comprehensive energy system; in addition, the integrated energy system also has thermal energy storage equipment, natural gas energy storage equipment and the like, and for the application of the thermal energy storage equipment and the natural gas energy storage equipment in the integrated energy system, reference can be made to the description of the electric energy storage equipment, and the embodiments of the invention are not repeated here.
Secondly, operation constraint conditions and operation parameters of the energy storage device are described:
the energy storage equipment comprises electric energy storage, thermal energy storage, cold energy storage, natural gas energy storage and the like, and has basic operation constraint during operation, and the technical scheme of the embodiment of the invention is described by taking the energy storage equipment as the electric energy storage equipment as an example.
The constraint condition for the charge and discharge power of the electric energy storage device can be specifically expressed by the following formula:
|P ESS |≤S ESS
in the above, P ESS For the power magnitude of the energy storage device and the power grid, S ESS Rated power for energy storage, P ESS And S is ESS All belong to the operating parameters.
Energy P exchanged between energy storage equipment and comprehensive energy system in actual comprehensive energy system eff Can be changed due to the change of the charge and discharge efficiency of the electric energy storage device, when P eff At > 0, the electrical energy storage device discharges, whereas the electrical energy storage device charges, for this process can be represented by the following formula:
Figure BDA0001849400720000091
wherein eta d For discharging efficiency, eta of an electric energy storage device c For the charging efficiency of an electrical energy storage device, "" means the meaning of multiplication.
The relation between the charge and discharge power of the electric energy storage device and the energy state of the energy storage device is a key operation condition of the electric energy storage device in the operation process, and the key operation condition can be expressed by the following formula:
Figure BDA0001849400720000092
Wherein SOC is initial Representing an initial state of charge of the electrical energy storage device, and SOC representing a state of charge of the electrical energy storage device, E ESS Representing the rated capacity, SOC, of an electrical energy storage device initial 、E ESS 、P eff And the SOC are all running parameters.
In addition, it should be noted that the embodiment of the present invention is only described by taking an electric energy storage device as an example, and the operation constraint conditions and operation parameters of other energy storage devices, such as a natural gas energy storage device and a thermal energy storage device, all belong to the protection scope of the embodiment of the present invention.
Thirdly, a primary frequency modulation standby model of the energy storage device is described:
firstly, the energy storage equipment can have certain rotational inertia through the design of the control system, primary frequency modulation standby is provided for the comprehensive energy system, and the primary frequency modulation capacity of the comprehensive energy system is related to the inertia of the comprehensive energy system, so that the rotational inertia of the comprehensive energy system during primary frequency modulation can be expressed by the following formula:
Figure BDA0001849400720000093
in the above, H sys For the moment of inertia of the integrated energy system S sys Rated power of integrated energy system, H i For the moment of inertia of the ith system equipment in the integrated energy system, S i Is the rated power of the ith system equipment in the integrated energy system.
In the primary frequency modulation process of the comprehensive energy system, the sagging coefficient plays a crucial role, and the calculation method of the sagging coefficient in the comprehensive energy system can be represented by adopting the following formula:
Figure BDA0001849400720000101
in the above, R i For the sagging coefficient of the ith system equipment in the comprehensive energy system, deltaf is the variation of the frequency in the comprehensive energy system, f 0 To integrate rated power of energy system, deltaP i The method is the variable quantity of the output of the ith system equipment in the comprehensive energy system.
When the energy storage device participates in primary frequency modulation of the comprehensive energy system and improves a certain rotational inertia and sagging coefficient, the energy storage device can participate in calculation of the rotational inertia and sagging coefficient as one of devices in the comprehensive energy system, and a calculation model of P/f characteristic parameters in the whole comprehensive energy system can be specifically represented by the following formula:
Figure BDA0001849400720000102
in the above, Δf ss Is the deviation of the frequency of the integrated energy system in steady state.
Fourth, an energy storage overload model of the energy storage device is described:
when the energy storage equipment responds to the primary frequency modulation, the overload capacity of the energy storage equipment and the overload time bearable by the energy storage equipment determine the effect of the energy storage response to the primary frequency modulation, and when the energy storage equipment is in a charging mode (belonging to the running state of the energy storage equipment), the energy storage overload model of the energy storage equipment can be represented by the following formula:
Figure BDA0001849400720000103
In the above-mentioned method, the step of,
Figure BDA0001849400720000104
for affordable overload time of energy storage device, P ov For the overload degree of the energy storage device, the overload degree can be obtained by dividing the overload power of the energy storage device by the rated power of the energy storage device,/->
Figure BDA0001849400720000105
For an overload level of the energy storage device, the overload level may be represented by the following formula: />
Figure BDA0001849400720000106
For the overload time that the energy storage device can withstand under the corresponding overload level of the energy storage device, this can be expressed as +.>
Figure BDA0001849400720000107
Likewise, the relationship between the overload capacity of the energy storage device in the discharge situation and the sustainable overload time can be expressed by the following formula:
Figure BDA0001849400720000111
in the above-mentioned method, the step of,
Figure BDA0001849400720000112
affordable overload time for discharging the energy storage device, +.>
Figure BDA0001849400720000113
For overload levels in the case of discharge of the energy storage device, the formula +.>
Figure BDA0001849400720000114
Indicating (I)>
Figure BDA0001849400720000115
For the overload time that the energy storage device can withstand under the overload level of the corresponding energy storage device, the formula +.>
Figure BDA0001849400720000116
And (3) representing.
The overload capacity of the energy storage equipment is fully considered, the economical efficiency of the comprehensive energy system can be improved under the standby effect of the comprehensive energy system, and the flexibility of energy storage is fully utilized.
By combining the above, the process of establishing the standby model of the energy storage device according to the preferred embodiment of the present invention specifically includes:
acquiring operation constraint conditions and operation parameters of energy storage equipment in the comprehensive energy system;
Calculating the moment of inertia and sagging coefficient of the integrated energy system during primary frequency modulation by using the operation constraint conditions and the operation parameters to establish a primary frequency modulation standby model of the energy storage equipment;
acquiring an operation state of energy storage equipment and overload power corresponding to the operation state;
establishing an energy storage overload model corresponding to the operation state by utilizing the operation parameters and the overload power corresponding to the operation state;
the energy storage equipment standby model comprises a primary frequency modulation standby model and an energy storage overload model.
Next, a detailed description is given of a new energy device standby model according to an embodiment of the present invention:
firstly, the reasons why the new energy equipment participates in the standby model of the comprehensive energy system are described in detail, and the corresponding new energy standby model can be built by fully utilizing the complementary characteristics of the power generation of the system energy equipment and the multi-energy load of the comprehensive energy system under the condition that the new energy equipment in the comprehensive energy system is used as a standby. After the large-scale new energy equipment is connected with the grid, the phenomenon of unbalanced power of the comprehensive energy system caused by the randomness of the output of the new energy equipment is more frequent, and meanwhile, on the premise of predicting the output of the system energy equipment more reliably, the output of the large-scale new energy equipment is fully mobilized to be used as the standby of the comprehensive energy system. Because the current policy encourages new energy equipment to surf the internet for power generation, the full generation of the grid-connected new energy is basically ensured, but the new energy unit does not participate in primary frequency modulation, and primary frequency modulation standby is not provided, so that related researches are less at present. The embodiment of the invention mainly considers the situation that the new energy equipment participates in primary frequency modulation standby and tertiary frequency modulation standby of the comprehensive energy system.
Secondly, a primary frequency modulation standby model of the new energy equipment is described:
the comprehensive energy system mainly relies on kinetic energy stored in a rotor by a generator set, and corresponding reserve capacity is provided by detecting the frequency offset of the comprehensive energy system, so that primary frequency modulation reserve is constrained by the frequency deviation of the comprehensive energy system and needs to be provided according to a static frequency curve of the generator set. Meanwhile, with the development of related technologies of power electronic devices, through designing electronic devices with virtual sagging coefficients, virtual rotational inertia and the like, new energy power generation equipment is connected with a comprehensive energy system, so that the new energy power generation equipment can participate in primary frequency modulation of the comprehensive energy system.
Firstly, primary frequency modulation standby equation constraint and primary frequency modulation maximum standby capacity of new energy equipment when primary frequency modulation is carried out on a comprehensive energy system are described:
when the frequency deviation delta f of the new energy power generation equipment in the new energy equipment is between 0 and delta f it When the frequency deviation delta f is lower than delta f, the primary standby provided by the new energy power generation equipment and the frequency deviation of the comprehensive energy system are in a primary function relation it Thereafter, the primary backup capacity of the new energy power plant is provided in terms of a maximum value, and the equation constraint can be expressed by the following equation:
Figure BDA0001849400720000121
In the above-mentioned method, the step of,
Figure BDA0001849400720000122
maximum output of new energy equipment when primary frequency modulation is carried out for comprehensive energy system, u it The start-stop state of the ith new energy equipment in the comprehensive energy system is a 0-1 variable. D (D) i Virtual moment of inertia, P, for the ith new energy device in the integrated energy system it The output of the new energy unit is output when primary frequency modulation is carried out for the comprehensive energy system. Wherein,
Figure BDA0001849400720000123
the following expression can be used:
Figure BDA0001849400720000124
wherein P is i max The maximum output of the ith new energy device is shown,
Figure BDA0001849400720000125
the maximum standby capacity provided when the ith new energy device participates in primary frequency modulation is shown.
In the above, the primary frequency modulation maximum standby capacity of the new energy unit
Figure BDA0001849400720000126
And the corresponding inflection frequency deviation deltaf it The relationship of (2) may be represented by the following formula:
Figure BDA0001849400720000127
thus, the primary frequency modulation standby model can be expressed by the following equation:
Figure BDA0001849400720000128
in addition, in addition to the equation constraint, the frequency deviation constraint of the integrated energy system should be considered when the integrated energy system performs primary frequency modulation, in order to ensure the operation safety of the integrated energy system and avoid load shedding, the minimum frequency needs to be set, and the following expression can be adopted:
Δf min ≤Δf≤0
in the above, Δf min A lower frequency deviation limit defined for the integrated energy system.
Thirdly, a new energy generation power model of new energy equipment when the integrated energy system carries out three-time frequency modulation is described:
the three-time frequency modulation standby in the comprehensive energy system mainly reserves a power generation space for the load prediction error and accidental accidents of the comprehensive energy system by reasonably arranging a power generation plan of power generation equipment of the system so as to achieve the purpose of economic and safe operation of the comprehensive energy system. The frequency three times adjustment in the comprehensive energy system mainly solves the problems that: the new energy generator set combination is arranged with the lowest cost of starting and stopping for adapting to the large change of daily load; the power generation power is economically distributed among the new energy generator sets, so that the power generation cost is minimum; in a large-scale comprehensive energy system, related factors such as multi-energy supply cost, line network loss, heat supply pipeline energy supply loss, air supply pipeline energy supply loss and the like are required to be considered, the influence on multi-energy load when the comprehensive energy system is in fault is considered, and spare capacity and the like are distributed among new energy generator sets economically and reasonably.
When the new energy equipment is considered to be used for three times, firstly, the power generation condition of the new energy equipment needs to be predicted relatively reliably, the embodiment of the invention mainly uses an exponential smoothing method to predict the power generation power in a short period, the exponential smoothing method is a sequence analysis method, the fitting value or the predicted value is commonly used in equipment production prediction and is a weighted arithmetic average value of historical data, the weight of the recent data is large, and the weight of the long-term data is small, so that the fitting of the data close to the current moment is more accurate. The principle is that the exponential smoothing value of any period is the weighted average of the actual observed value of the period and the exponential smoothing value of the previous period, and for the historical data sequence, y 1 ,y 2 ,...,y n Requiring prediction of y n+1 Timeliness of information requires a predicted amount
Figure BDA0001849400720000131
Consisting of a weighted average of all historical data, and generally requires that the weights should decrease progressively as the data is farther from the prediction period, i.e., the following relationship should apply:
Figure BDA0001849400720000132
0<α t <1
Figure BDA0001849400720000133
α 0 >α 1 >α 2 >α 3 …>α n-1
in the above, alpha t The weight of the history data is shown.
The simple exponential smoothing method and the secondary exponential smoothing method are described below, respectively: firstly, in a simple exponential smoothing method, a parameter 0 < alpha < 1 is selected, and a weight value is taken as alpha t =α(1-α) t T=0, 1,2, …, n-1, due to
Figure BDA0001849400720000141
I.e. the predicted power value, the sum of n terms at the right end, but the use of this expression would lead to computational inconvenience, for which reason it can be rewritten as a recurrence relation:
initial conditions are set firstly:
S 0 =y 1
the smoothing equation is then expressed by the following equation:
S t =αy t +(1-α)S t-1 ,t=1,2,…,n
the predictive formula is expressed by the following formula:
Figure BDA0001849400720000142
the general formula can be obtained by n iterations of the above formula:
Figure BDA0001849400720000143
it can be seen from the general formula that the observed value closer to the prediction period (power prediction of the new energy device) is given a larger weight, and the observed value farther from the prediction value is given a smaller weight, and the weight is exponentially decreased from near to far.
The secondary exponential smoothing method is preferable in the embodiment of the invention, and the invention mainly adopts a common Brown single parameter linear secondary exponential smoothing method. The method mainly comprises the following steps:
First, the original sequence (the historical operation data of the new energy equipment) is subjected to exponential smoothing, which can be represented by the following formula:
y' t =αy t +(1-α)y' t-1 ,2≤t≤n
wherein, setting initial condition y 1 '=y 1 ,y' t The historical data of the new energy equipment at the moment t after the primary exponential smoothing is obtained.
And then performing secondary exponential smoothing on the primary smoothing sequence, wherein the obtained secondary exponential smoothing sequence is represented by the following formula:
y″ t =αy t +(1-α)y″ t-1 ,2≤t≤n
wherein the initial condition is y 1 =y 1
Second, the following two coefficients are calculated for the last phase of data:
a n =2y′ n -y″ n
Figure BDA0001849400720000144
finally, the following new energy generating power model is established according to the calculated coefficient:
Figure BDA0001849400720000145
wherein,
Figure BDA0001849400720000151
the predicted power of the new energy source.
After the power generation of the new energy is predicted through the new energy power generation model, the prediction result analysis is carried out on the relative error, wherein the relative error refers to the percentage of the fitting value and the actual value, and the relative error d is point by point t (relative error at each time point t)The calculation method can be represented by the following formula:
Figure BDA0001849400720000152
in the above-mentioned method, the step of,
Figure BDA0001849400720000153
representing the predicted value of the generated power of the new energy, y t The actual value of the generated power of the new energy is shown.
Average relative error
Figure BDA0001849400720000154
The calculation method of (1) is as follows:
Figure BDA0001849400720000155
where n refers to the number of time points.
Fourth, the fault outage capacity model of the new energy equipment is introduced:
Besides the possible negative effect of inaccuracy of prediction on three standby of the integrated energy system, the failure outage of the new energy device also can bring serious impact on the reliability of the system standby, so that a certain standby capacity must be set for the outage of the new energy device to ensure the safe operation of the integrated energy system, and the description about the failure outage capacity model is mainly as follows:
assuming that the number of new energy devices (which can be new energy power generation devices) is n, the capacity of the jth new energy device is P wj The outage rate of the new energy equipment is ρ j And the shutdown condition of each new energy device is independent. C (C) i And C N The outage subset and the non-outage subset of the new energy equipment in the state i are respectively, and the outage capacity of the new energy power plant can be obtained according to the outage rate of each new energy equipment and the capacity of the new energy equipment, and can be specifically expressed by the following steps:
Figure BDA0001849400720000156
Figure BDA0001849400720000157
in the above, p i For probability of occurrence of state i, E P Is the expected outage capacity of new energy power plants. Fifth, a new energy cost model of the new energy equipment is described:
the current price of the new energy power generation electricity is related to the local new energy resource condition, the basic construction cost of the new energy power generation field, and the running cost and maintenance cost of the new energy power generation field. Wherein the new energy resource is a key factor for determining the power generation cost of the new energy; the construction cost of the new energy power plant mainly comprises the cost of new energy equipment, the cost of electricity generation, the cost of auxiliary engineering and the like; after the new energy electric field is built, a certain amount of manpower and material resources are required to be consumed for maintaining the safe and normal operation of the new energy electric field, and the cost is increased along with the increase of the service life of the new energy electric field.
Therefore, the embodiment of the invention adopts the following formula to represent the cost model of the new energy:
F j (P wj )=P c +e j P wj
wherein F is j (P wj ) The power generation cost of new energy equipment, P c Basic costs (construction value data of new energy equipment) for new energy power generation include new energy electric field construction costs, maintenance costs and the like. e, e j The purchase price coefficient of the electric energy for generating the new energy (the agreement price for generating the new energy).
In summary, as a preferred embodiment of the present invention, the process of establishing the standby model of the new energy device specifically includes:
acquiring primary frequency modulation reserve equation constraint and primary frequency modulation maximum reserve capacity of new energy equipment when the comprehensive energy system conducts primary frequency modulation;
establishing a primary frequency modulation standby model of the new energy equipment by using primary frequency modulation standby equation constraint and primary frequency modulation maximum standby capacity;
establishing a new energy power generation power model of new energy equipment when the comprehensive energy system carries out three-time frequency modulation by using an exponential smoothing method;
acquiring the number of new energy devices, the outage rate of each new energy device and the capacity of each new energy device;
establishing a shutdown capacity model of the new energy equipment by utilizing the shutdown rate of each new energy equipment and the capacity of each new energy equipment;
acquiring construction value data of new energy equipment and energy value data of the new energy equipment;
Establishing a new energy cost model of the new energy equipment by using the construction value data and the energy value data;
the new energy equipment standby model comprises a new energy equipment primary frequency modulation standby model, a new energy power generation power model, a new energy equipment outage capacity model and a new energy cost model.
S104, a system standby model of the comprehensive energy system is built by using the first constraint condition corresponding to the standby model of the new energy equipment, the second constraint condition corresponding to the standby model of the energy storage equipment, the third constraint condition corresponding to the equipment models of other systems and the total operation cost function of the system.
Specifically, in this embodiment, the setting up and up adjustment of the integrated energy system is mainly from the perspective of safe operation of the integrated energy system, so as to prevent the loss of generated power caused by sudden failure of new energy equipment in the integrated energy system, the integrated energy system provides a standby capacity to make up for the power difference in time, avoid load removal, and ensure power consumption of users. The configuration of the traditional comprehensive energy system up-regulation standby is mainly determined according to the percentage of the maximum capacity unit in the comprehensive energy system and the deviation of load prediction, and when the comprehensive energy system up-regulates standby after large-scale new energy equipment is connected, not only the conventional factors but also the errors of the new energy equipment prediction and the power loss possibly caused by the new energy equipment outage are considered.
Wherein, as a preferred embodiment, the up-regulation standby constraint condition of the integrated energy system and the down-regulation standby constraint condition of the integrated energy system;
the up-regulation standby constraint condition is specifically expressed by the following formula:
Figure BDA0001849400720000171
Figure BDA0001849400720000172
USW=ΔP′ w +E p
in the above, US i For the up-regulation of the ith new energy equipment, T is the running total time of the new energy equipment, UR i The standby climbing rate is adjusted for the ith new energy device,
Figure BDA0001849400720000173
to the maximum power of the ith new energy equipment in the integrated energy system, P Gi For the power of the ith new energy equipment in the comprehensive energy system, USR is the system standby capacity before the new energy equipment is integrated into the comprehensive energy system, USW is the up-regulation standby configured after the new energy equipment is integrated into the comprehensive energy system, and delta P' w E, generating a prediction error for new energy equipment p The system is the outage capacity of new energy equipment;
the constraint condition for downregulation is specifically expressed by the following formula:
Figure BDA0001849400720000174
Figure BDA0001849400720000175
wherein DS is i For the down-regulation of the ith new energy equipment in the integrated energy system, DR i For the downward adjustment of the standby climbing rate of the ith new energy device in the integrated energy system,
Figure BDA0001849400720000176
the minimum power of the ith new energy equipment in the integrated energy system.
Further, the first constraint, the second constraint, and the third constraint each include the following constraints:
The first is the multi-energy power balance constraint condition of the comprehensive energy system:
the power of each node of the integrated energy system is kept balanced, namely the inflow power of each node of the integrated energy system is equal to the outflow power. The integrated comprehensive energy system comprises various multi-energy devices (new energy devices, energy storage devices and other system devices) of electricity/heat/cold/gas and a multi-energy type system, and can be specifically represented by the following formula:
Figure BDA0001849400720000177
in the above formula, k represents the number of nodes in the integrated energy system, and the number of nodes included in the NK multi-energy integrated energy system. A is that k,n Network branch node association matrix element B in multi-energy comprehensive energy system i,n The node association matrix element, p, of network system equipment (including new energy equipment, energy storage equipment and other system equipment) in the multi-energy comprehensive energy system k,t Refers to the power of the kth branch in the t period in the comprehensive energy system, P d,n,t Refers to the load of the nth node in the t period in the integrated energy system.
The second is the multi-energy reserve constraint of the integrated energy system:
the multi-energy reserve capacity reserved by the comprehensive energy system is equal to the fixed capacity requirement of the total multi-energy reserve capacity, and the reserve capacity is equal to the total slow reserve capacity requirement, and can be specifically expressed by the following formula:
Figure BDA0001849400720000181
In the above, ΔD t For the t period instantaneous reserve capacity demand, r i,t Standby for the response of the ith system equipment in the t period.
Third is the power generation capacity constraint of the system equipment in the integrated energy system:
the power generation capacity of each online unit must not be lower than the minimum power generation capacity of each online unit, and the sum of the power generation capacity and the reserved standby capacity of each online unit must not be higher than the maximum power generation capacity of each online unit, and the power generation capacity of each online unit can be specifically expressed by the following formula:
Figure BDA0001849400720000182
in the above, u i,t For the start-stop state of the ith system equipment in the period t, u i,t =1 is on state, u i,t =0 is in the stop state, P min,i For the minimum output of the ith system equipment, P max,i Is the maximum force of the ith system equipment.
Fourth is the reserve capacity constraint of the system equipment of the integrated energy system:
the transient response reserve reserved by the system equipment in the comprehensive energy system is not greater than the maximum allowable value, and is specifically expressed by the following formula:
r i,t ≤R max,i
in the above, R max,i The maximum transient response reserve (MW) for the ith system equipment is shown.
Fifth is minimum start-stop time constraint of multi-energy system equipment of the integrated energy system:
the system equipment operation needs to meet the minimum allowable continuous operation duration and continuous shutdown duration, and can be specifically expressed by the following formula:
Figure BDA0001849400720000183
In the above, T on,.i For the minimum allowable continuous operation duration (h), T of the ith system equipment off,.i Allowed minimum connection for ith system equipmentDuration of continuous shutdown (h), X on,i,t-1 For the time (h) that the ith system equipment has been continuously operated for the initial state of the ith system equipment, X off,i,t-1 The time (h) that the ith system equipment has been continuously stopped for the initial state of the ith system equipment.
Sixth, the running climbing constraint condition of the multi-energy system equipment of the comprehensive energy system
The system equipment needs to meet the requirements of lifting force and lowering force when lifting force, and meanwhile, the system equipment needs to meet the requirements of starting lifting force and stopping lowering force rate when stopping, and the system equipment can be specifically expressed by the following steps:
Figure BDA0001849400720000191
in the above, UR i For the upward ramp rate (MW/h), DR of continuous operation of the ith system equipment i For the downslope rate (MW/h) of the continuous operation of the ith system equipment, UP i For the ascending climbing speed (MW/h), DP of the ith system equipment continuous start-up i Downhill ramp rate (MW/h) for successive shutdowns of the ith system equipment.
Seventh, the constraint condition of the startup cost of the multi-energy system equipment of the comprehensive energy system
Considering hot and cold starts, the constraints can be expressed by the following formula:
Figure BDA0001849400720000192
In the above-mentioned method, the step of,
Figure BDA0001849400720000193
for the (i) th system device, the (i) th system device is hot-start up costs ($), and the (i) th system device is hot-start up costs ($)>
Figure BDA0001849400720000194
For the i-th system installation, the cold start outlay ($), is $ ->
Figure BDA0001849400720000195
Minimum allowed continuous downtime (h) for the ith system installation, +.>
Figure BDA0001849400720000196
Minimum cold start time (h) allowed for the ith system device, for>
Figure BDA0001849400720000197
For a continuous downtime (h) of the ith system equipment before (excluding) the ith period of time.
It can be seen that, in the system standby modeling method of the comprehensive energy system disclosed in the embodiment of the invention, firstly, an energy consumption cost function and an energy standby cost function of an energy source in the comprehensive energy system are obtained, then, a system total operation cost function of the comprehensive energy system is determined by using the energy consumption cost function and the standby cost function, secondly, a new energy equipment standby model and an energy storage equipment standby model which are built in advance in the comprehensive energy system are obtained, and finally, a system standby model of the comprehensive energy system is built by using a first constraint condition corresponding to the new energy equipment standby model, a second constraint condition corresponding to the energy storage equipment standby model, a third constraint condition corresponding to other system equipment models and the system total operation cost function. Compared with the mode of modeling only a single energy form of the electric power system in the prior art, by adopting the scheme, the system standby model of the whole comprehensive energy system can be established by combining the pre-established new energy equipment standby model, the energy storage equipment standby model, other system equipment models and the total operation cost function of the system, and the modeling is performed on the whole comprehensive energy system from the angles of multiple energy forms and combining the new energy equipment and the energy storage equipment as standby, so that the safe and stable operation of the comprehensive energy system is ensured. In addition, the embodiment of the invention also discloses a system standby modeling device and a storage medium of the comprehensive energy system, and the effects are as above.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a system standby modeling apparatus of an integrated energy system according to an embodiment of the present invention, where the apparatus includes:
a first obtaining module 201, configured to obtain an energy cost function of energy and a standby cost function of energy in the integrated energy system;
a determining module 202 for determining a system total operating cost function of the integrated energy system using the energy cost function and the backup cost function;
a second obtaining module 203, configured to obtain a new energy device standby model and an energy storage device standby model that are pre-established in the integrated energy system;
and the establishing module 204 is configured to establish a system standby model of the integrated energy system by using the first constraint condition corresponding to the standby model of the new energy device, the second constraint condition corresponding to the standby model of the energy storage device, the third constraint condition corresponding to the other system device models and the total running cost function.
It can be seen that, in the system standby modeling apparatus for a comprehensive energy system disclosed in the embodiment of the present invention, firstly, an energy cost function and an energy standby cost function of an energy source in the comprehensive energy system are obtained, then, a system total operation cost function of the comprehensive energy system is determined by using the energy cost function and the standby cost function, secondly, a new energy equipment standby model and an energy storage equipment standby model which are built in advance in the comprehensive energy system are obtained, and finally, a system standby model of the comprehensive energy system is built by using a first constraint condition corresponding to the new energy equipment standby model, a second constraint condition corresponding to the energy storage equipment standby model, a third constraint condition corresponding to other system equipment models and the system total operation cost function. Compared with the mode of modeling only a single energy form of the electric power system in the prior art, by adopting the scheme, the system standby model of the whole comprehensive energy system can be established by combining the pre-established new energy equipment standby model, the energy storage equipment standby model, other system equipment models and the total operation cost function of the system, and the modeling is performed on the whole comprehensive energy system from the angles of multiple energy forms and combining the new energy equipment and the energy storage equipment as standby, so that the safe and stable operation of the comprehensive energy system is ensured.
Referring to fig. 3, fig. 3 is a schematic structural diagram of a system standby modeling apparatus of another integrated energy system according to an embodiment of the present invention, including:
a memory 301 for storing a computer program;
a processor 302 for executing a computer program stored in a memory to implement the steps of the system backup modeling method of the integrated energy system as mentioned in any of the above embodiments.
The system standby modeling device of another integrated energy system provided in this embodiment may call the computer program stored in the memory through the processor, so as to implement the steps of the system standby modeling method of an integrated energy system provided in any one of the above embodiments, so that the modeling device has the same practical effects as the system standby modeling method of an integrated energy system.
For better understanding of the present solution, an embodiment of the present invention provides a computer readable storage medium, where a computer program is stored, where the computer program, when executed by a processor, implements the steps of the system standby modeling method of the integrated energy system as mentioned in any of the above embodiments.
The computer readable storage medium provided in this embodiment may have the same practical effects as the system standby modeling method of the integrated energy system described above, because the steps of the system standby modeling method of the integrated energy system described above in any one of the embodiments are implemented by calling the computer program stored in the computer readable storage medium by the processor.
The system standby modeling method, the device and the storage medium of the comprehensive energy system provided by the application are described in detail. Specific examples are set forth herein to illustrate the principles and embodiments of the present application, and the description of the examples above is only intended to assist in understanding the methods of the present application and their core ideas. It should be noted that it would be obvious to those skilled in the art that various improvements and modifications can be made to the present application without departing from the principles of the present application, and such improvements and modifications fall within the scope of the claims of the present application.
In the description, each embodiment is described in a progressive manner, and each embodiment is mainly described by the differences from other embodiments, so that the same similar parts among the embodiments are mutually referred. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.

Claims (5)

1. A system backup modeling method for an integrated energy system, comprising:
acquiring an energy cost function of energy in the comprehensive energy system and a standby cost function of the energy;
Determining a system total operating cost function of the integrated energy system using the energy cost function and the backup cost function;
acquiring a new energy equipment standby model and an energy storage equipment standby model which are pre-established in the comprehensive energy system;
establishing a system standby model of the comprehensive energy system by using a first constraint condition corresponding to the new energy equipment standby model, a second constraint condition corresponding to the energy storage equipment standby model, a third constraint condition corresponding to other system equipment models and the system total operation cost function;
the establishing process of the standby model of the energy storage equipment specifically comprises the following steps: acquiring operation constraint conditions and operation parameters of energy storage equipment in the comprehensive energy system; calculating the moment of inertia and sagging coefficient of the integrated energy system when primary frequency modulation is performed by using the operation constraint conditions and the operation parameters so as to establish a primary frequency modulation standby model of the energy storage equipment; acquiring an operation state of the energy storage equipment and overload power corresponding to the operation state; establishing an energy storage overload model corresponding to the operation state by utilizing the operation parameters and overload power corresponding to the operation state; the energy storage equipment standby model comprises the primary frequency modulation standby model and the energy storage overload model;
The new energy equipment standby model building process specifically comprises the following steps: acquiring primary frequency modulation standby equation constraint and primary frequency modulation maximum standby capacity of new energy equipment when the comprehensive energy system conducts primary frequency modulation; establishing a primary frequency modulation standby model of the new energy equipment by using the primary frequency modulation standby equation constraint and the primary frequency modulation maximum standby capacity; establishing a new energy power generation power model of the new energy equipment when the comprehensive energy system carries out three-time frequency modulation by using an exponential smoothing method; acquiring the number of the new energy devices, the outage rate of each new energy device and the capacity of each new energy device; establishing a shutdown capacity model of the new energy equipment by utilizing the shutdown rate of the new energy equipment and the capacity of the new energy equipment; acquiring construction value data of the new energy equipment and energy value data of the new energy equipment, and establishing a new energy cost model of the new energy equipment by utilizing the construction value data and the energy value data; the new energy equipment standby model comprises a new energy equipment primary frequency modulation standby model, a new energy power generation power model, a new energy equipment outage capacity model and a new energy cost model;
The energy cost function is specifically expressed by the following formula:
Figure QLYQS_1
wherein,
Figure QLYQS_3
for said energy costs->
Figure QLYQS_5
For the number of system devices in the integrated energy system,
Figure QLYQS_7
for the number of time periods in the integrated energy system,/->
Figure QLYQS_9
For the time period sequence number->
Figure QLYQS_11
For the +.>
Figure QLYQS_13
Personal system device->
Figure QLYQS_14
Electrical energy cost function of time period, < >>
Figure QLYQS_2
For the +.>
Figure QLYQS_4
Personal system device->
Figure QLYQS_6
Energy consumption information of time period, +.>
Figure QLYQS_8
For the +.>
Figure QLYQS_10
Personal system device->
Figure QLYQS_12
A startup cost function of the time period;
the standby cost function is specifically expressed by the following formula:
Figure QLYQS_15
wherein,
Figure QLYQS_18
for the standby fee, < >>
Figure QLYQS_20
For the +.>
Figure QLYQS_21
Personal system device->
Figure QLYQS_22
Reserved transient response for time period, +.>
Figure QLYQS_23
For the +.>
Figure QLYQS_24
Personal system device->
Figure QLYQS_25
The reserved time period is reserved for use,
Figure QLYQS_16
for the +.>
Figure QLYQS_17
Personal system device->
Figure QLYQS_19
A standby cost function of the time period;
the first constraint condition corresponding to the new energy equipment standby model specifically comprises: the up-regulation standby constraint condition of the comprehensive energy system and the down-regulation standby constraint condition of the comprehensive energy system;
The constraint condition for up-regulation is specifically expressed by the following formula:
Figure QLYQS_26
Figure QLYQS_27
Figure QLYQS_28
in the above-mentioned method, the step of,
Figure QLYQS_32
is->
Figure QLYQS_34
Up-regulating of individual new energy devices, < >>
Figure QLYQS_36
For the total time of operation of the new energy device,
Figure QLYQS_37
is->
Figure QLYQS_39
Up-regulating standby climbing rate of individual new energy equipment,/->
Figure QLYQS_40
For the +.>
Figure QLYQS_41
Maximum power of the individual new energy devices, +.>
Figure QLYQS_29
For the +.>
Figure QLYQS_30
Power of the individual new energy devices, +.>
Figure QLYQS_31
Spare capacity of the system before the integration of the new energy installation into the integrated energy system,/->
Figure QLYQS_33
For the up-regulation of the configuration of the new energy installation after incorporation into the integrated energy system,/for the new energy installation>
Figure QLYQS_35
Prediction error for the generation of said new energy device,/-for>
Figure QLYQS_38
The outage capacity of the new energy equipment;
the constraint condition for the downregulation is specifically expressed by the following formula:
Figure QLYQS_42
Figure QLYQS_43
wherein,
Figure QLYQS_44
for the +.>
Figure QLYQS_45
Down-regulating of new energy devices, < >>
Figure QLYQS_46
For the +.>
Figure QLYQS_47
Downregulating standby climbing rate of individual new energy devices,/->
Figure QLYQS_48
For the +.>
Figure QLYQS_49
Minimum power of the new energy equipment;
the second constraint and the third constraint each comprise the following constraints: firstly, a multi-energy power balance constraint condition of a comprehensive energy system; secondly, the multi-energy standby constraint of the comprehensive energy system; thirdly, the power generation capacity constraint of system equipment in the comprehensive energy system; fourth, the reserve capacity constraint of the system equipment of the integrated energy system; fifth, minimum start-stop time constraint of multi-energy system equipment of the integrated energy system; sixthly, the operation climbing constraint condition of multi-energy system equipment of the comprehensive energy system; seventh, the constraint condition of the startup cost of the multi-energy system equipment of the comprehensive energy system is that;
The operation constraint condition is a constraint condition for constraining operation of the energy storage device.
2. The method for modeling system redundancy of an integrated energy system according to claim 1, wherein said determining a system total operating cost function of said integrated energy system using said energy cost function and said redundancy cost function comprises:
determining a minimum value of a sum of the energy cost function and the standby cost function as a total operation cost function of the system;
correspondingly, the total operation cost function of the system is specifically expressed by the following formula:
Figure QLYQS_50
3. a system backup modeling apparatus for an integrated energy system, comprising:
the first acquisition module is used for acquiring an energy utilization cost function of energy in the comprehensive energy system and a standby cost function of the energy;
a determining module configured to determine a system total operating cost function of the integrated energy system using the energy cost function and the backup cost function;
the second acquisition module is used for acquiring a new energy equipment standby model and an energy storage equipment standby model which are pre-established in the comprehensive energy system;
the building module is used for building a system standby model of the comprehensive energy system by using a first constraint condition corresponding to the new energy equipment standby model, a second constraint condition corresponding to the energy storage equipment standby model, a third constraint condition corresponding to other system equipment models and the total running cost function;
The establishing process of the standby model of the energy storage equipment specifically comprises the following steps: acquiring operation constraint conditions and operation parameters of energy storage equipment in the comprehensive energy system; calculating the moment of inertia and sagging coefficient of the integrated energy system when primary frequency modulation is performed by using the operation constraint conditions and the operation parameters so as to establish a primary frequency modulation standby model of the energy storage equipment; acquiring an operation state of the energy storage equipment and overload power corresponding to the operation state; establishing an energy storage overload model corresponding to the operation state by utilizing the operation parameters and overload power corresponding to the operation state; the energy storage equipment standby model comprises the primary frequency modulation standby model and the energy storage overload model;
the new energy equipment standby model building process specifically comprises the following steps: acquiring primary frequency modulation standby equation constraint and primary frequency modulation maximum standby capacity of new energy equipment when the comprehensive energy system conducts primary frequency modulation; establishing a primary frequency modulation standby model of the new energy equipment by using the primary frequency modulation standby equation constraint and the primary frequency modulation maximum standby capacity; establishing a new energy power generation power model of the new energy equipment when the comprehensive energy system carries out three-time frequency modulation by using an exponential smoothing method; acquiring the number of the new energy devices, the outage rate of each new energy device and the capacity of each new energy device; establishing a shutdown capacity model of the new energy equipment by utilizing the shutdown rate of the new energy equipment and the capacity of the new energy equipment; acquiring construction value data of the new energy equipment and energy value data of the new energy equipment, and establishing a new energy cost model of the new energy equipment by utilizing the construction value data and the energy value data; the new energy equipment standby model comprises a new energy equipment primary frequency modulation standby model, a new energy power generation power model, a new energy equipment outage capacity model and a new energy cost model;
The energy cost function is specifically expressed by the following formula:
Figure QLYQS_51
wherein,
Figure QLYQS_53
for said energy costs->
Figure QLYQS_56
For the number of system devices in the integrated energy system,
Figure QLYQS_60
for the number of time periods in the integrated energy system,/->
Figure QLYQS_61
For the time period sequence number->
Figure QLYQS_62
For the +.>
Figure QLYQS_63
Personal system device->
Figure QLYQS_64
Electrical energy cost function of time period, < >>
Figure QLYQS_52
For the +.>
Figure QLYQS_54
Personal system device->
Figure QLYQS_55
Energy consumption information of time period, +.>
Figure QLYQS_57
For the +.>
Figure QLYQS_58
Personal system device->
Figure QLYQS_59
A startup cost function of the time period;
the standby cost function is specifically expressed by the following formula:
Figure QLYQS_65
wherein,
Figure QLYQS_67
for the standby fee, < >>
Figure QLYQS_68
For the +.>
Figure QLYQS_71
Personal system device->
Figure QLYQS_72
Reserved transient response for time period, +.>
Figure QLYQS_73
For the +.>
Figure QLYQS_74
Personal system device->
Figure QLYQS_75
The reserved time period is reserved for use,
Figure QLYQS_66
for the +.>
Figure QLYQS_69
Personal system device->
Figure QLYQS_70
A standby cost function of the time period;
the first constraint condition corresponding to the new energy equipment standby model specifically comprises: the up-regulation standby constraint condition of the comprehensive energy system and the down-regulation standby constraint condition of the comprehensive energy system;
The constraint condition for up-regulation is specifically expressed by the following formula:
Figure QLYQS_76
Figure QLYQS_77
Figure QLYQS_78
in the above-mentioned method, the step of,
Figure QLYQS_80
is->
Figure QLYQS_83
Up-regulating of individual new energy devices, < >>
Figure QLYQS_85
For the total time of operation of the new energy device,
Figure QLYQS_86
is->
Figure QLYQS_89
Up-regulating standby climbing rate of individual new energy equipment,/->
Figure QLYQS_90
For the +.>
Figure QLYQS_91
Maximum power of the individual new energy devices, +.>
Figure QLYQS_79
For the +.>
Figure QLYQS_81
Power of the individual new energy devices, +.>
Figure QLYQS_82
Spare capacity of the system before the integration of the new energy installation into the integrated energy system,/->
Figure QLYQS_84
For the up-regulation of the configuration of the new energy installation after incorporation into the integrated energy system,/for the new energy installation>
Figure QLYQS_87
Prediction error for the generation of said new energy device,/-for>
Figure QLYQS_88
The outage capacity of the new energy equipment;
the constraint condition for the downregulation is specifically expressed by the following formula:
Figure QLYQS_92
Figure QLYQS_93
wherein,
Figure QLYQS_94
for the comprehensive energy systemFirst->
Figure QLYQS_95
Down-regulating of new energy devices, < >>
Figure QLYQS_96
For the +.>
Figure QLYQS_97
Downregulating standby climbing rate of individual new energy devices,/->
Figure QLYQS_98
For the +.>
Figure QLYQS_99
Minimum power of the new energy equipment;
the second constraint and the third constraint each comprise the following constraints: firstly, a multi-energy power balance constraint condition of a comprehensive energy system; secondly, the multi-energy standby constraint of the comprehensive energy system; thirdly, the power generation capacity constraint of system equipment in the comprehensive energy system; fourth, the reserve capacity constraint of the system equipment of the integrated energy system; fifth, minimum start-stop time constraint of multi-energy system equipment of the integrated energy system; sixthly, the operation climbing constraint condition of multi-energy system equipment of the comprehensive energy system; seventh, the constraint condition of the startup cost of the multi-energy system equipment of the comprehensive energy system is that;
The operation constraint condition is a constraint condition for constraining operation of the energy storage device.
4. A system backup modeling apparatus for an integrated energy system, comprising:
a memory for storing a computer program;
a processor for executing a computer program stored in the memory to implement the steps of the system backup modeling method of an integrated energy system as claimed in any one of claims 1 to 2.
5. A computer readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the steps of the system backup modeling method of an integrated energy system of any of claims 1-2.
CN201811287537.5A 2018-10-31 2018-10-31 System standby modeling method and device for comprehensive energy system and storage medium Active CN109388908B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811287537.5A CN109388908B (en) 2018-10-31 2018-10-31 System standby modeling method and device for comprehensive energy system and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811287537.5A CN109388908B (en) 2018-10-31 2018-10-31 System standby modeling method and device for comprehensive energy system and storage medium

Publications (2)

Publication Number Publication Date
CN109388908A CN109388908A (en) 2019-02-26
CN109388908B true CN109388908B (en) 2023-06-16

Family

ID=65428253

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811287537.5A Active CN109388908B (en) 2018-10-31 2018-10-31 System standby modeling method and device for comprehensive energy system and storage medium

Country Status (1)

Country Link
CN (1) CN109388908B (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105939029A (en) * 2016-06-21 2016-09-14 中国南方电网有限责任公司电网技术研究中心 Method and system for obtaining planning scheme of integrated energy system
CN108510131A (en) * 2018-05-22 2018-09-07 清华大学 A kind of comprehensive energy microgrid Method for optimized planning, microgrid structure and control method
CN108694483A (en) * 2018-07-28 2018-10-23 天津大学 Consider integrated energy system lectotype selection and the method for planning capacity of the coupling of electric heating gas

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105939029A (en) * 2016-06-21 2016-09-14 中国南方电网有限责任公司电网技术研究中心 Method and system for obtaining planning scheme of integrated energy system
CN108510131A (en) * 2018-05-22 2018-09-07 清华大学 A kind of comprehensive energy microgrid Method for optimized planning, microgrid structure and control method
CN108694483A (en) * 2018-07-28 2018-10-23 天津大学 Consider integrated energy system lectotype selection and the method for planning capacity of the coupling of electric heating gas

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
基于有功备用的双馈风电机组功率优化控制;邢仁周等;《科技通报》;20180930(第09期);全文 *
基于负荷预测的园区供热系统运行优化技术;于波等;《电力建设》;20171201(第12期);全文 *
新能源电动车销量预测模型的应用;石萍等;《辽宁科技大学学报》;20161015(第05期);全文 *
面向多主体的工业园区综合能源系统互动机制;姜子卿等;《南方电网技术》;20180320(第03期);全文 *

Also Published As

Publication number Publication date
CN109388908A (en) 2019-02-26

Similar Documents

Publication Publication Date Title
CN103151803B (en) Method for optimizing wind power system-contained unit and backup configuration
Zhao et al. A preliminary dynamic behaviors analysis of a hybrid energy storage system based on adiabatic compressed air energy storage and flywheel energy storage system for wind power application
CN103986190B (en) Based on the wind-solar-storage joint electricity generation system smooth control method of generated output curve
CN104242356B (en) Consider Robust Interval wind-powered electricity generation dispatching method and the device of wind energy turbine set collection cable malfunction
CN111555281B (en) Method and device for simulating flexible resource allocation of power system
CN104993523B (en) Network system containing wind-powered electricity generation is set to optimize the accurate analogy method of hydroenergy storage station characteristic of operation
CN110492531B (en) Power system scheduling operation method and system considering synchronous rotation inertia level
CN103326388B (en) Based on micro-grid energy storage system and the capacity collocation method of power prediction
CN105470985B (en) A kind of wind stores up the flexible self-start method of Isolated Network System
CN103956773B (en) Backup configuration optimization method containing wind power system unit
Hug-Glanzmann Coordination of intermittent generation with storage, demand control and conventional energy sources
CN115276008B (en) Power system new energy bearing capacity assessment method considering peak-shaving frequency-modulation requirements
CN112909980B (en) Virtual coefficient optimization method for simulating quick frequency response of thermal power generating unit by electrochemical energy storage
CN110783957A (en) Wind power system-containing rotating standby optimal configuration method considering demand response
CN103326389A (en) Power prediction based micro-grid energy storage system and capacity configuration method
CN109038532B (en) Distributed transmission and distribution cooperative unit combination method based on direct current power flow equivalence
CN110752598B (en) Method and device for evaluating flexibility of multipoint distributed energy storage system
CN105790287A (en) Power system emergency reserve capacity configuration method
CN116780646A (en) Power system resource optimization scheduling method considering flexibility and terminal
CN113159423A (en) Multi-energy combined optimization scheduling operation method based on wind, fire and light storage coordination
Zhang et al. A short-term optimal scheduling model for wind-solar-hydro-thermal complementary generation system considering dynamic frequency response
CN111564873B (en) Integrated gas-electric energy system optimization method considering unit start and stop
CN109388908B (en) System standby modeling method and device for comprehensive energy system and storage medium
CN112418537A (en) Optimized scheduling method for multi-energy cloud energy storage system
Zhang et al. Research on frequency regulation strategy based on model predictive control for wind-hydro-storage complementary microgrid

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant