CN112507507B - Comprehensive energy equipment optimal configuration method based on economy and reliability - Google Patents
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Abstract
The invention discloses an economic and reliability-based optimal configuration method for comprehensive energy equipment, which comprises the following steps of: collecting relevant data of the comprehensive energy equipment, and analyzing the annual electricity, heat and cold loads of a user; establishing an economic optimization configuration model of the comprehensive energy equipment based on the analysis result; establishing energy balance constraint and capacity constraint based on an optimized configuration model of the comprehensive energy equipment; according to constraint conditions, establishing reliability constraint on power supply equipment through the sum of local controllable power generation installed capacity and power grid contract capacity, and selecting a reliability index for quantitative calculation; and analyzing the reliability and the economy of three different energy supply devices, and verifying the optimal economy and reliability capacity configuration to realize the optimal configuration of the comprehensive energy device. The invention overcomes the defects that the economy of the comprehensive energy system is singly considered, the reliability constraint is set while the economy of the comprehensive energy system is considered, and the reliability level is improved, thereby achieving the optimal allocation of the economy and the reliability of the comprehensive energy system.
Description
Technical Field
The invention relates to the technical field of an optimized configuration method of a comprehensive energy system, in particular to an optimized configuration method of comprehensive energy equipment based on economy and reliability.
Background
As a physical carrier of energy Internet, the proposal of a comprehensive energy system breaks through the inherent modes of independent planning, independent design and independent operation of multi-energy forms such as cold, heat, electricity, gas and the like, establishes a new generation energy technical framework with essential characteristics of multi-energy mutual complementation and supply and demand interaction, is an effective means for actively coping with three difficulties of international and domestic energy, economy and environment under the large background of energy production and consumption revolution, and is bound to become a main bearing form of the future national energy basic facility.
In the construction process of the comprehensive energy system, safety and reliability are preconditions and foundations, which are prerequisites for application and popularization of the comprehensive energy system, however, due to the comprehensive characteristic, the influence of the comprehensive energy system on the system reliability is twofold, on one hand, in the comprehensive energy system, multi-type heterogeneous energy equipment is coupled and integrated, a multi-energy network is in bidirectional interaction, and the unit equipment and single-segment network faults can cause chain reaction and cascade failure, so that the energy supply reliability of the whole system is influenced; on the other hand, the multiple energy sources, the multiple networks and the multiple loads of the comprehensive energy system are coordinated and matched with each other, are mutually supplemented and mutually backed up, so that the flexibility and the degree of freedom of the system are improved, and meanwhile, the reliability and the self-healing capability of the whole energy supply are effectively enhanced
At present, most of reliability research for the comprehensive energy system at home and abroad focuses on the field of reliability evaluation, a series of innovative evaluation indexes and evaluation methods are provided, the depth of understanding on the reliability of the comprehensive energy system is greatly improved, and in the comprehensive energy system, the combination and configuration of a plurality of heterogeneous energy technologies are key factors influencing the reliability of the comprehensive energy system; therefore, it is necessary to take reliability factors into the overall consideration frame in the initial planning and design stage of the system to solve the reliability problem from the source, however, most of the existing comprehensive energy system planning related researches focus on the planning targets of economy, energy conservation, environmental performance and the like, and the consideration of the reliability is not sufficient.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the above-mentioned conventional problems.
Therefore, the technical problem solved by the invention is as follows: the economic efficiency of the comprehensive energy system which is singly considered in the past is overcome.
In order to solve the technical problems, the invention provides the following technical scheme: collecting relevant data of the comprehensive energy equipment, and analyzing the annual electricity, heat and cold loads of a user; establishing an economic optimization configuration model of the comprehensive energy equipment based on the analysis result; establishing an energy balance constraint and a capacity constraint based on the comprehensive energy equipment optimization configuration model; according to the constraint condition, establishing reliability constraint on the power supply equipment through the sum of the local controllable power generation installed capacity and the power grid contract capacity, and selecting a reliability index for quantitative calculation; and analyzing the reliability and the economical efficiency of three different energy supply devices, and verifying the optimal economical efficiency and the reliable capacity configuration to realize the optimal configuration of the comprehensive energy source device.
As a preferable scheme of the economic and reliability-based comprehensive energy device optimal configuration method of the invention, the method comprises the following steps: the related data of the comprehensive energy equipment comprise annual electricity, heat and cold load data of a user, internal combustion engine performance parameters, gas boiler performance parameters, absorption refrigerator performance parameters, electric refrigerator performance parameters, photovoltaic equipment performance parameters, electric storage device performance parameters, time-of-use electricity price and gas purchase cost.
As a preferable scheme of the economic and reliability-based comprehensive energy device optimal configuration method of the invention, the method comprises the following steps: the optimization configuration model comprises an objective function, models of all devices and constraints.
As a preferable scheme of the economic and reliability-based comprehensive energy device optimal configuration method of the invention, the method comprises the following steps: the objective function includes at least one of,
minC＝Cinv+Com+Cbuy
wherein C represents the annual total cost of the comprehensive energy system in units of Yuan, CinvRepresenting annual investment cost in units of Yuan, ComRepresenting annual operation and maintenance cost in Yuan, CbuyThe unit of the unit is Yuan, which represents the annual electric power purchase gas fee.
As a preferable scheme of the economic and reliability-based comprehensive energy device optimal configuration method of the invention, the method comprises the following steps: the energy balance constraints include the number of energy balance constraints,
Pchp，self(t)+PPV,self(t)+Pdisees(t)+Pu(t)＝Pd(t)+Pecool(t)
wherein, PPV,selfThe unit of the photovoltaic power generation self-consumption is kW and PdiseesThe unit of the discharge power of the power storage device is kW and PdRepresenting the hourly electrical load in kW, PecoolThe unit of the consumed electric power of the electric refrigerator is kW;
Qgb(t)+Qchp，h(t)≥Qd(t)
wherein Q isgbThe unit of the hourly thermal output of the gas boiler is kW and Qchp,hThe unit of the heat and heat supply quantity of the cogeneration unit is kW and QdRepresenting the hourly thermal load in kW;
Pecool(t)·COPecool+Qchp,c(t)·COPab≥Qc(t)
wherein the COPecoolRepresenting the coefficient of performance, P, of the thermoelectric refrigeratorecoolThe output of the electric refrigerator is expressed in kW and Qchp,cThe unit of the waste heat and cold supply capacity of the cogeneration unit is kW and COPabRepresenting coefficient of performance, Q, of absorption chiller unitscRepresenting the hourly heat load in kW.
As a preferable scheme of the economic and reliability-based comprehensive energy device optimal configuration method of the invention, the method comprises the following steps: the device capacity constraints include the number of devices,
Pchp,self(t)+Pchp,sto(t)≤Pchp,m
Qchp,c(t)+Qchp,h(t)＝Pchp(t)·ηh/ηe
wherein, Pchp,mThe unit of the rated capacity of the cogeneration unit is kW and etahRepresenting the waste heat recovery efficiency of the cogeneration unit;
0≤Pecool(t)·COPecool≤Qecool,m
0≤Qchp,c(t)·COPab≤Qab,m
wherein Q isecool,mThe rated capacity of the electric refrigerator is expressed in kW and Qab,mThe rated capacity of the absorption type refrigerating machine is expressed, and the unit is kW;
0≤Qgb(t)≤Qgb,m
wherein Q isgb,mThe rated capacity of the gas boiler is expressed in kW;
G(t)·A·λ＝PPV，self(t)+PPV,sto(t)
0≤A≤Amax
wherein G represents hourly solar radiation in kW/m2And A represents the area of the solar photovoltaic panel and the unit is m2And λ represents the photovoltaic module power generation efficiency, PPV,stoRepresenting the energy storage of photovoltaic power generation with the unit of kW and AmaxRepresents the maximum installation area of the photovoltaic cell panel and has the unit of m2；
0≤Pess(t)≤Pess,m
Pess(0)＝0
Pdisess(0)＝0
Wherein, PeesRepresenting the storage capacity of the storage battery in kW, and epsilon represents the self-discharge rate, Pees,mThe rated capacity of the storage battery is expressed in kW and PcheesAnd PdiseesRespectively represents the charging and discharging power of the storage battery, and the unit is kW and muchAnd mudisRespectively representing the charge and discharge efficiency of the storage battery;
0≤Pchess(t)≤M·fin
0≤Pdiscees(t)≤M·fout
fin+fout≤1
wherein f isin、foutRepresents a variable of 0 to 1, representsIn the charge-discharge state, M represents a sufficiently large positive integer.
As a preferable scheme of the economic and reliability-based comprehensive energy device optimal configuration method of the invention, the method comprises the following steps: the reliability constraints include the number of times that the reliability constraint includes,
Pchp,m+Pum≥Max(pd(t)+Pecool(t))·α
where α represents the ratio set value.
As a preferable scheme of the economic and reliability-based comprehensive energy device optimal configuration method of the invention, the method comprises the following steps: the reliability indicators include, for example,
probability of power supply reliability
And K represents the reliable power supply probability of the system, M represents the fault rate of the public power grid, and N represents the fault rate of the single distributed power supply equipment.
As a preferable scheme of the economic and reliability-based comprehensive energy device optimal configuration method of the invention, the method comprises the following steps: the annual investment charge CinvComprises the steps of (a) preparing a mixture of a plurality of raw materials,
Cinv＝Fchp·Pchp,m·rchp+Fgb·Pgb,m·rgb+FPV·PPV,m·rPV+Fees·Pees,m·rees+Fab·Pab,m·rab+Fecool·Pecool,m·recool
wherein, FchpRepresenting the unit investment cost of the cogeneration unit, the unit is Yuan, FgbExpresses the unit investment cost of the gas boiler, the unit is Yuan, FPVRepresenting the unit investment cost of the photovoltaic equipment, the unit is Yuan, FeesRepresents the unit investment cost of the energy storage equipment, the unit is Yuan, FabExpressing the unit investment cost of the absorption refrigerating unit, the unit is Yuan, FecoolIndicating unit throw of electric refrigeratorCapital cost in units of yuan/kW, Pchp,mRepresents the installed capacity of the cogeneration with the unit of kW and Pgb,mRepresenting the capacity of the gas boiler in kW, PPV,mRepresenting the capacity of the photovoltaic equipment in kW, Pees,mRepresenting the capacity of the energy storage equipment in kW, Pab,mThe unit of the capacity of the absorption refrigerating unit is kW and Pecool,mRepresenting the capacity of the electric refrigerator in kW, rchpRepresenting the capital recovery factor, r, of a cogeneration unitgbDenotes the capital recovery factor, r, of the gas boilerpvRepresenting the capital recovery factor, r, of a photovoltaic planteesRepresenting the capital recovery factor, r, of the energy storage deviceabRepresenting the capital recovery factor, r, of an absorption chillerecoolRepresenting the capital recovery factor of the electric refrigerator.
As a preferable scheme of the economic and reliability-based comprehensive energy device optimal configuration method of the invention, the method comprises the following steps: the annual operation and maintenance cost ComAnnual electric gas purchase fee CbuyComprises the steps of (a) preparing a mixture of a plurality of raw materials,
wherein, Com,chpThe unit operation and maintenance cost of the cogeneration unit is expressed by unit/kW.h, Pchp,selfRepresenting the hourly generation self-consumption, P, of cogenerationchp,stoThe unit of the hourly electricity sales of the cogeneration is kW;
wherein, CumRepresenting the unit price of the capacity in units of yuan/kW, PumThe unit of the contract capacity of the power grid is kW, theta represents the excess contract amount punishment cost, the unit is Yuan, CuRepresents the time-of-use electricity price, and the unit is yuan/kW.h, PuThe unit of the hourly power purchasing is kW, and tau is the low-level heating value of natural gas and is kW.h/m3， ηeIndicating cogeneration unitsElectrical efficiency, CchpRepresenting gas price of cogeneration unit in unit of yuan/m3， CgbRepresents the gas price of the gas boiler in unit of yuan/m3，QgbRepresenting the hourly thermal power of the gas boiler in kW.
The invention has the beneficial effects that: and the reliability constraint is set while the economy of the comprehensive energy system is considered, and the reliability level of the comprehensive energy system is improved, so that the optimum configuration of the economy and the reliability of the comprehensive energy system is achieved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise. Wherein:
fig. 1 is a basic flowchart of an economic and reliability-based optimal configuration method for an integrated energy device according to an embodiment of the present invention;
fig. 2 is a diagram of an integrated energy system of an economic and reliability-based method for optimally configuring an integrated energy device according to an embodiment of the present invention;
fig. 3 is a time-by-time cooling, heating and power load diagram of a hospital on a typical day according to the economic and reliability-based comprehensive energy device optimization configuration method provided by an embodiment of the invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, specific embodiments accompanied with figures are described in detail below, and it is apparent that the described embodiments are a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making creative efforts based on the embodiments of the present invention, shall fall within the protection scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
The present invention will be described in detail with reference to the drawings, wherein the cross-sectional views illustrating the structure of the device are not enlarged partially in general scale for convenience of illustration, and the drawings are only exemplary and should not be construed as limiting the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
Meanwhile, in the description of the present invention, it should be noted that the terms "upper, lower, inner and outer" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation and operate, and thus, cannot be construed as limiting the present invention. Furthermore, the terms first, second, or third are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected," and "connected" are to be construed broadly and include, for example: can be fixedly connected, detachably connected or integrally connected; they may be mechanically, electrically, or directly connected, or indirectly connected through intervening media, or may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example 1
Referring to fig. 1 to 2, for an embodiment of the present invention, a comprehensive energy device optimal configuration method based on economy and reliability is provided, including:
s1: and collecting relevant data of the comprehensive energy equipment, and analyzing the annual electricity, heat and cold loads of the user.
It should be noted that: the integrated energy device-related data includes,
the system comprises user annual electricity, heat and cold load data, internal combustion engine performance parameters, gas boiler performance parameters, absorption type refrigerating machine performance parameters, electric refrigerating machine performance parameters, photovoltaic equipment performance parameters, electricity storage device performance parameters, time-of-use electricity price in Shanghai city and gas purchase cost, wherein the annual electricity, heat and cold load of the user is analyzed, and typical load data of 1 day per month is selected as key load analysis.
S2: and establishing an economic optimization configuration model of the comprehensive energy equipment based on the analysis result.
It should be noted that: the optimization configuration model comprises an objective function, models and constraints of all equipment;
wherein the objective function includes, among others,
minC＝Cinv+Com+Cbuy
wherein C represents the annual total cost of the comprehensive energy system in units of Yuan, CinvRepresenting annual investment cost in units of Yuan, ComRepresenting annual operation and maintenance cost in Yuan, CbuyThe unit of the annual electric power purchase gas fee is yuan;
specifically, annual investment cost CinvComprises the steps of (a) preparing a substrate,
Cinv＝Fchp·Pchp,m·rchp+Fgb·Pgb,m·rgb+FPV·PPV,m·rPV+Fees·Pees,m·rees+Fab·Pab,m·rab+Fecool·Pecool,m·recool
wherein, FchpRepresenting the unit investment cost of the cogeneration unit, the unit is Yuan, FgbExpresses the unit investment cost of the gas boiler, the unit is Yuan, FPVRepresenting the unit investment cost of the photovoltaic equipment, the unit is Yuan, FeesRepresents the unit investment cost of the energy storage equipment, the unit is Yuan, FabExpressing the unit investment cost of the absorption refrigerating unit, the unit is Yuan, FecoolThe unit investment cost of the electric refrigerator is expressed by unit/kW, Pchp,mRepresents the installed capacity of the cogeneration with the unit of kW and Pgb,mRepresenting the capacity of the gas boiler in kW, PPV,mRepresenting the capacity of the photovoltaic equipment in kW, Pees,mRepresenting the capacity of the energy storage equipment in kW, Pab,mThe unit of the capacity of the absorption refrigerating unit is kW and Pecool,mRepresenting the capacity of the electric refrigerator in kW, rchpRepresenting the capital recovery factor, r, of a cogeneration unitgbDenotes the capital recovery factor, r, of the gas boilerpvRepresenting the capital recovery factor, r, of a photovoltaic planteesRepresenting the capital recovery factor, r, of the energy storage deviceabRepresenting the capital recovery factor, r, of an absorption chillerecoolRepresents the capital recovery factor of the electric chiller;
annual maintenance charge ComAnnual electric gas purchase fee CbuyComprises the steps of (a) preparing a mixture of a plurality of raw materials,
wherein, Com,chpThe unit operation and maintenance cost of the cogeneration unit is expressed by unit/kW.h, Pchp,selfRepresenting the hourly generation self-consumption, P, of cogenerationchp,stoThe unit of the hourly electricity sales of the cogeneration is kW;
wherein, CumRepresenting the unit price of the capacity in units of yuan/kW, PumThe unit of the contract capacity of the power grid is kW, theta represents the excess contract amount punishment cost, the unit is Yuan, CuRepresenting time-of-use electricityThe unit of price is yuan/kW.h, PuThe unit of the hourly power purchasing is kW, and tau is the low-level heating value of natural gas and is kW.h/m3， ηeRepresents the generating efficiency of the cogeneration unit, CchpRepresenting gas price of cogeneration unit in unit of yuan/m3， CgbExpresses the gas price of the gas boiler and has unit of yuan/m3，QgbRepresenting the hourly thermal power of the gas boiler in kW.
S3: establishing energy balance constraint and capacity constraint based on an optimization configuration model of the comprehensive energy equipment;
it should be noted that: the comprehensive energy equipment mainly comprises an internal combustion engine (CHP), a gas turbine (gb), photovoltaic equipment (PPV), an electricity storage device (EES), an electric refrigerating device (ecool) and an absorption refrigerating device (ab).
Specifically, the energy balance constraints include,
Pchp，self(t)+PPV,self(t)+Pdisees(t)+Pu(t)＝Pd(t)+Pecool(t)
wherein, PPV,selfThe unit of the photovoltaic power generation self-consumption is kW and PdiseesThe unit of the discharge power of the power storage device is kW and PdRepresenting the hourly electrical load in kW, PecoolThe unit of the consumed electric power of the electric refrigerator is kW;
Qgb(t)+Qchp，h(t)≥Qd(t)
wherein Q isgbThe unit of the hourly thermal output of the gas boiler is kW and Qchp,hThe unit of the heat and heat supply quantity of the cogeneration unit is kW and QdRepresenting the hourly thermal load in kW;
Pecool(t)·COPecool+Qchp,c(t)·COPab≥Qc(t)
wherein the COPecoolRepresenting the coefficient of performance, P, of the thermoelectric refrigeratorecoolThe output of the electric refrigerator is expressed in kW and Qchp,cThe unit of the waste heat and cold supply capacity of the cogeneration unit is kW and COPabOf the absorption typeCoefficient of performance, Q, of refrigerating unitscRepresenting the hourly thermal load in kW;
further, device capacity constraints include,
Pchp,self(t)+Pchp,sto(t)≤Pchp,m
Qchp,c(t)+Qchp,h(t)＝Pchp(t)·ηh/ηe
wherein, Pchp,mThe unit of the rated capacity of the cogeneration unit is kW and etahRepresenting the waste heat recovery efficiency of the cogeneration unit;
0≤Pecool(t)·COPecool≤Qecool,m
0≤Qchp,c(t)·COPab≤Qab,m
wherein Q isecool,mThe rated capacity of the electric refrigerator is expressed in kW and Qab,mThe rated capacity of the absorption type refrigerating machine is expressed, and the unit is kW;
0≤Qgb(t)≤Qgb,m
wherein Q isgb,mThe rated capacity of the gas boiler is expressed in kW;
G(t)·A·λ＝PPV，self(t)+PPV,sto(t)
0≤A≤Amax
wherein G represents hourly solar radiation in kW/m2And A represents the area of the solar photovoltaic panel and the unit is m2And λ represents the photovoltaic module power generation efficiency, PPV,stoRepresenting the energy storage of photovoltaic power generation with the unit of kW and AmaxRepresents the maximum installation area of the photovoltaic cell panel and has the unit of m2；
0≤Pess(t)≤Pess,m
Pess(0)＝0
Pdisess(0)＝0
Wherein, PeesRepresenting the storage capacity of the storage battery in kW, and epsilon represents the self-discharge rate, Pees,mThe rated capacity of the storage battery is expressed in kW and PcheesAnd PdiseesRespectively represents the charging and discharging power of the storage battery, and the unit is kW and muchAnd mudisRespectively representing the charge and discharge efficiency of the storage battery;
0≤Pchess(t)≤M·fin
0≤Pdiscees(t)≤M·fout
fin+fout≤1
wherein, fin、foutRepresents a variable from 0 to 1, represents the charge-discharge state, and M represents a sufficiently large positive integer.
S4: and according to the constraint conditions, establishing reliability constraint on the power supply equipment through the sum of the installed capacity of the local controllable power generation and the contract capacity of the power grid, and selecting a reliability index for quantitative calculation.
It should be noted that: the reliability constraints include the number of reliability constraints,
Pchp,m+Pum≥Max(pd(t)+Pecool(t))·α
wherein, alpha represents a ratio set value;
the reliability indicators include, for example,
probability of power supply reliability
And K represents the reliable power supply probability of the system, M represents the fault rate of the public power grid, and N represents the fault rate of the single distributed power supply equipment.
S5: and analyzing the reliability and the economy of three different energy supply devices, and verifying the optimal economy and reliability capacity configuration to realize the optimal configuration of the comprehensive energy device.
Example 2
Referring to fig. 3, in order to verify and explain the technical effects adopted in the method, in the embodiment, three different scenes are selected to perform experimental comparison to verify the true effect of the method.
In this embodiment, a certain overseas hospital is a research object, and an optimized configuration analysis is performed on a comprehensive energy system based on a constructed model, the electricity price of the comprehensive energy system is the electricity price of two parts of general industry and commerce, the demand electricity price is 37.8 yuan/kW, the electricity price is divided into summer and non-summer, as shown in fig. 3, the natural gas price has certain difference according to gas using equipment, the distributed cogeneration unit enjoys preferential gas price of 2.7 yuan/m 3, the gas price of a gas boiler is 3.87 yuan/m 3, and the load curve of a typical day of the hospital is shown in fig. 3.
In the case, 3 typical scenes are set, wherein a scene 1 is a conventional energy system, namely, all power requirements are supplied by a power grid, and cold and heat loads are respectively met by an electric refrigerator and a gas boiler; scene 2 considers two kinds of distributed power supply equipment, namely a cogeneration unit and a photovoltaic unit; scenario 3 is to add a power storage device to scenario 2.
Based on the parameter settings, the system equipment configuration under three scenes is established by applying the optimization model constructed by the invention as shown in table 3, and in general, the installed capacity of the gas internal combustion engine is relatively high due to the introduction of the reliability constraint, the installed capacity of the gas internal combustion engine is higher than the peak value of the power load in scenes 2 and 3 (see fig. 3), and in addition, in scene 3, compared with scene 2, the capacities of the gas internal combustion engine, the absorption refrigerator and the gas boiler are reduced due to the consideration of the energy storage equipment, and the capacity of the photovoltaic power generation device is improved by more than 50%, so that the introduction of the storage battery can promote the permeability of the renewable energy. On the other hand, the configuration of distributed power generation systems such as gas internal combustion engines and photovoltaic power generation can significantly reduce the contract demand of users and the power grid, but the introduction of storage batteries increases the contract demand.
Table 1: and (5) an equipment optimization configuration result table.
Based on the system configuration, both the annual cost and the reliability index of the system can be determined, as shown in table 2, in general, compared with a conventional energy supply system (scene 1), the comprehensive energy system has good economy and reliability, and the annual total cost of the scene 2 and the scene 3 is respectively reduced by 16.6% and 17.3% through system optimization configuration; although the initial investment and the operation and maintenance cost of the system are increased by introducing the local power generation device, the external energy purchase cost (particularly the electricity cost) is greatly reduced, so that the overall economy of the system is improved; on the other hand, according to the reliability evaluation index introduced by the method, due to mutual supplement and backup among multiple energy supply modules, the average power supply reliability of the system is improved to a certain extent, particularly due to the introduction of an energy storage device, and the economy and reliability of the comprehensive energy system are further improved by relieving the contradiction of supply and demand balance.
Table 2: and (5) a system economy and reliability result table.
Table 3: device technology parameter table.
Table 4: the equipment investment and the operation and maintenance cost are shown in a table.
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.
Claims (8)
1. An economic and reliability-based optimal configuration method for integrated energy equipment is characterized by comprising the following steps:
collecting relevant data of the comprehensive energy equipment, and analyzing the annual electricity, heat and cold loads of a user;
establishing an economic optimization configuration model of the comprehensive energy equipment based on the analysis result;
establishing energy balance constraint and capacity constraint based on the comprehensive energy equipment economic optimization configuration model;
according to the constraint condition, establishing reliability constraint on the power supply equipment through the sum of the installed capacity of the local controllable power generation and the contract capacity of the power grid, and selecting a reliability index for quantitative calculation;
the reliability constraints include the number of times that the reliability constraint includes,
Pchp，m+Pum≥Max(Pd(t)+Pecool(t))·α
wherein, Pchp,mThe unit of the installed capacity of the cogeneration is kW and PumThe unit of the power grid contract capacity is kW and PdRepresenting the hourly electrical load in kW, PecoolThe unit of the electric power consumption of the electric refrigerator is kW, and alpha represents a proportion set value;
the reliability indicators include, for example,
probability of power supply reliability
K represents the reliable power supply probability of the system, M represents the fault rate of the public power grid, and N represents the fault rate of the single distributed power supply equipment;
and analyzing the reliability and the economical efficiency of three different energy supply devices, and verifying the optimal economical efficiency and the optimal reliable capacity configuration to realize the optimal configuration of the comprehensive energy device.
2. The economic and reliability-based optimal configuration method for integrated energy devices according to claim 1, wherein: the integrated energy device-related data may include,
the system comprises the following steps of annual electricity, heat and cold load data of a user, internal combustion engine performance parameters, gas boiler performance parameters, absorption refrigerator performance parameters, electric refrigerator performance parameters, photovoltaic equipment performance parameters, power storage device performance parameters, time-of-use electricity price and gas purchase cost.
3. The economic and reliability-based optimal configuration method for integrated energy devices according to claim 1, wherein: the optimization configuration model comprises an objective function, models of all devices and constraints.
4. The economic and reliability-based optimal configuration method for integrated energy devices according to claim 3, wherein: the objective function includes at least one of,
min C＝Cinv+Com+Cbuy
wherein C represents the annual total cost of the comprehensive energy system in units of Yuan, CinvRepresenting annual investment cost in units of Yuan, ComRepresenting annual operation and maintenance cost in Yuan, CbuyThe unit of the unit is Yuan, which represents the annual electric power purchase gas fee.
5. The economic and reliability-based optimal configuration method for integrated energy devices according to claim 1, wherein: the energy balance constraints include the number of energy balance constraints,
Pchp，self(t)+PPV,self(t)+Pdisees(t)+Pu(t)＝Pd(t)+Pecool(t)
wherein, Pchp,selfRepresenting the hourly generation self-consumption, P, of cogenerationPV,selfThe unit of the photovoltaic power generation self-consumption is kW and PuThe unit of the electric power is kW and PdiseesThe unit of the discharge power of the power storage device is kW;
Qgb(t)+Qchp，h(t)≥Qd(t)
wherein Q isgbThe unit of the hourly thermal output of the gas boiler is kW and Qchp,hThe unit of the heat and heat supply quantity of the cogeneration unit is kW and QdRepresenting the hourly thermal load in kW;
Pecool(t)·COPecool+Qchp,c(t)·COPab≥Qc(t)
wherein the COPecoolThe unit of the coefficient of performance of the thermoelectric refrigerator is kW and Qchp,cThe unit of the waste heat and cold supply capacity of the cogeneration unit is kW and COPabExpressing the coefficient of performance, Q, of the absorption refrigerating unitcRepresenting the hourly heat load in kW.
6. The economic and reliability-based integrated energy device optimal configuration method according to claim 5, wherein: the device capacity constraints include the number of devices,
Pchp,self(t)+Pchp,sto(t)≤Pchp,m
Qchp,c(t)+Qchp,h(t)＝Pchp(t)·ηh/ηe
wherein, Pchp,stoThe unit of the hourly electricity sales of the cogeneration is kW and etahRepresents the waste heat recovery efficiency of the cogeneration unit etaeRepresenting the generating efficiency of the cogeneration unit;
0≤Pecool(t)·COPecool≤Qecool,m
0≤Qchp,c(t)·COPab≤Qab,m
wherein Q isecool,mThe rated capacity of the electric refrigerator is expressed in kW and Qab,mThe rated capacity of the absorption refrigerator is expressed, and the unit is kW;
0≤Qgb(t)≤Qgb,m
wherein Qgb,mThe rated capacity of the gas boiler is expressed in kW;
G(t)·A·λ＝PPV，self(t)+PPV,sto(t)
0≤A≤Amax
wherein G represents hourly solar radiation in kW/m2And A represents the area of the solar photovoltaic panel and the unit is m2And λ represents the photovoltaic module power generation efficiency, PPV,stoRepresenting the energy storage of photovoltaic power generation with the unit of kW and AmaxRepresents the maximum installation area of the photovoltaic cell panel and has the unit of m2；
0≤Pees(t)≤Pees,m
Pees(0)＝0
Pdisees(0)＝0
Wherein, PeesRepresenting the storage capacity of the storage battery in kW, and epsilon represents the self-discharge rate, Pees,mThe rated capacity of the storage battery is expressed in kW, PcheesAnd PdiseesRespectively represents the charging and discharging power of the storage battery, and the unit is kW and muchAnd mudisRespectively representing the charge and discharge efficiency of the storage battery;
0≤Pchees(t)≤M·fin
0≤Pdisees(t)≤M·fout
fin+fout≤1
wherein f isin、foutRepresents a variable from 0 to 1, represents the charge-discharge state, and M represents a sufficiently large positive integer.
7. The economic and reliability-based integrated energy device optimal configuration method according to claim 4, wherein: the annual investment charge CinvComprises the steps of (a) preparing a mixture of a plurality of raw materials,
Cinv＝Fchp·Pchp,m·rchp+Fgb·Pgb,m·rgb+FPV·PPV,m·rPV+Fees·Pees,m·rees+Fab·Pab,m·rab+Fecool·Pecool,m·recool
wherein, FchpRepresents the unit investment cost of the cogeneration unit with unit of yuan/kW, FgbExpresses the unit investment cost of the gas boiler, and the unit is yuan/kW, FPVRepresents the unit investment cost of the photovoltaic equipment, and the unit is Yuan/kW, FeesThe unit investment cost of the energy storage equipment is expressed in unit of yuan/kW, FabThe unit investment cost of the absorption refrigerating unit is expressed as yuan/kW, FecoolThe unit investment cost of the electric refrigerator is expressed by unit/kW, Pgb,mRepresenting the capacity of the gas boiler in kW, PPV,mRepresents the capacity of photovoltaic equipment, and has the unit of kW and Pab,mThe unit of the capacity of the absorption refrigerating unit is kW and Pecool,mRepresenting the capacity of the electric refrigerator in kW, rchpRepresenting the capital recovery factor, r, of a cogeneration unitgbDenotes the capital recovery factor, r, of the gas boilerpvRepresenting the capital recovery factor, r, of a photovoltaic planteesRepresenting the capital recovery factor, r, of the energy storage deviceabRepresenting the capital recovery factor, r, of an absorption chillerecoolRepresenting the capital recovery factor of the electric refrigerator.
8. The economic and reliability-based integrated energy device optimal configuration method according to claim 4, wherein: the annual operation and maintenance cost ComAnnual electric gas purchase fee CbuyComprises the steps of (a) preparing a mixture of a plurality of raw materials,
wherein, Com,chpThe unit operation and maintenance cost of the cogeneration unit is expressed by unit/kW.h;
wherein, CumRepresenting unit price of capacity in unit of yuan/kW, theta represents excess contract penalty cost in unit of yuan, CuThe unit of the unit is yuan/kW.h, and tau is the low-level heating value of the natural gas and the unit is kW.h/m3，CchpRepresenting gas price of cogeneration unit in unit of yuan/m3，CgbExpresses the gas price of the gas boiler and has unit of yuan/m3，QgbRepresenting the hourly thermal power of the gas boiler in kW.
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