CN114662938A - Energy efficiency evaluation method and device of comprehensive energy system, terminal and storage medium - Google Patents
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Abstract
The invention provides an energy efficiency evaluation method, an energy efficiency evaluation device, a terminal and a storage medium of an integrated energy system. The method comprises the following steps: acquiring a weighted directed graph model of a comprehensive energy system of a target park and an energy efficiency evaluation scene set of the comprehensive energy system; according to the weighted directed graph model, calculating the input and output energy flow and the input and output energy flow of the comprehensive energy system under the target energy efficiency evaluation scene
A stream; input and output energy flow and input and output under scene according to target energy efficiency evaluation
The method comprises the steps of streaming, calculating a plurality of energy efficiency evaluation index values of a target energy efficiency evaluation scene; a plurality of energy efficiency evaluation index values according to the target energy efficiency evaluation scenario, and eachAnd calculating a comprehensive energy efficiency evaluation value of the target energy efficiency evaluation scene according to the information entropy and the weight corresponding to the energy efficiency evaluation index. The invention can comprehensively and accurately evaluate the energy efficiency of the comprehensive energy system which contains various types of energy equipment and has a mutual constraint relation.
Description
Technical Field
The invention relates to the technical field of energy system evaluation, in particular to an energy efficiency evaluation method, an energy efficiency evaluation device, a terminal and a storage medium of a comprehensive energy system.
Background
For a long time, many experts and scholars at home and abroad carry out a great deal of research on the energy efficiency evaluation method and put forward a lot of effective methods. For example, fromThe source production angle is based on a first law of thermodynamics, and the input and output energy conversion efficiency of a single device is evaluated by using the traditional thermal efficiency; or based on the second law of thermodynamics, to
The energy system is evaluated as an evaluation index.
However, the existing research mainly aims at evaluating a single energy efficiency evaluation index for a single type of energy equipment, such as a triple supply system, an energy storage system and the like, and is not suitable for a comprehensive energy system containing multiple types of energy equipment and having a mutual constraint relationship. Therefore, a method for evaluating the energy efficiency of the integrated energy system is needed.
Disclosure of Invention
The embodiment of the invention provides an energy efficiency evaluation method, an energy efficiency evaluation device, a terminal and a storage medium of an integrated energy system, and aims to solve the problem that an energy efficiency evaluation method for an integrated energy system which contains multiple types of energy equipment and has a mutual constraint relation is lacked in the prior art.
In a first aspect, an embodiment of the present invention provides an energy efficiency evaluation method for an integrated energy system, including:
acquiring a weighted directed graph model of a comprehensive energy system of a target park and an energy efficiency evaluation scene set of the comprehensive energy system; the energy efficiency evaluation scene set comprises at least one energy efficiency evaluation scene, and the energy efficiency evaluation scene comprises a park operation strategy, load information of the comprehensive energy system in a typical season day and renewable energy information;
according to the weighted directed graph model, calculating the input and output energy flow and the input and output energy flow of the comprehensive energy system under the target energy efficiency evaluation scene
A stream; the target energy efficiency evaluation scene is any one energy efficiency evaluation scene in the energy efficiency evaluation scene set;
input and output energy flow and input and output under scene according to target energy efficiency evaluation
The method comprises the steps of streaming, calculating a plurality of energy efficiency evaluation index values of a target energy efficiency evaluation scene;
and calculating a comprehensive energy efficiency evaluation value of the target energy efficiency evaluation scene according to the plurality of energy efficiency evaluation index values of the target energy efficiency evaluation scene and the information entropy and weight corresponding to each energy efficiency evaluation index.
In a second aspect, an embodiment of the present invention provides an energy efficiency evaluation apparatus for an integrated energy system, including:
the acquisition module is used for acquiring a weighted directed graph model of the comprehensive energy system of the target park and an energy efficiency evaluation scene set of the comprehensive energy system; the energy efficiency evaluation scene set comprises at least one energy efficiency evaluation scene, and the energy efficiency evaluation scene comprises a park operation strategy, load information of the comprehensive energy system in a typical season day and renewable energy information;
the first calculation module is used for calculating the input and output energy flow and the input and output energy flow of the comprehensive energy system under the target energy efficiency evaluation scene according to the weighted directed graph model
A stream; the target energy efficiency evaluation scene is any one energy efficiency evaluation scene in the energy efficiency evaluation scene set;
a second calculation module for evaluating the input/output energy flow and input/output according to the target energy efficiency
The method comprises the steps of streaming, calculating a plurality of energy efficiency evaluation index values of a target energy efficiency evaluation scene;
and the third calculation module is used for calculating a comprehensive energy efficiency evaluation value of the target energy efficiency evaluation scene according to the plurality of energy efficiency evaluation index values of the target energy efficiency evaluation scene and the information entropy and weight corresponding to each energy efficiency evaluation index.
In a third aspect, an embodiment of the present invention provides a terminal, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor, when executing the computer program, implements the steps of the method for evaluating energy efficiency of an integrated energy system according to the first aspect or any possible implementation manner of the first aspect.
In a fourth aspect, 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 method for evaluating energy efficiency of an integrated energy system according to the first aspect or any one of the possible implementations of the first aspect.
The embodiment of the invention provides an energy efficiency evaluation method, an energy efficiency evaluation device, a terminal and a storage medium of an integrated energy system
Flow, followed by input-output energy flow and input-output under the scenario of target energy efficiency evaluation
And finally, calculating a plurality of energy efficiency evaluation index values of the target energy efficiency evaluation scene, and calculating a comprehensive energy efficiency evaluation value of the target energy efficiency evaluation scene according to the plurality of energy efficiency evaluation index values of the target energy efficiency evaluation scene and the information entropy and weight corresponding to each energy efficiency evaluation index. In this way, the calculated comprehensive energy efficiency evaluation value can sufficiently reflect various energy utilization characteristics, so that the comprehensive energy system can be comprehensively evaluated in terms of energy efficiency, and the reference degree of the evaluation result is high. In addition, mapping is carried out on the directed graph path selection and the system operation strategy, so that a basis can be provided for selecting the system operation strategy, and the method has guiding significance for planning and operation practice of the park comprehensive energy system.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed for the embodiments or the prior art descriptions will be briefly described 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 without creative efforts.
FIG. 1 is a schematic diagram of a campus complex energy system according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating an implementation of a method for evaluating energy efficiency of an integrated energy system according to an embodiment of the present invention;
FIG. 3 is a weighted directed graph of an integrated energy system provided by an embodiment of the present invention;
FIG. 4 is an example weighted directed graph provided by an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an energy efficiency evaluation device of an integrated energy system according to an embodiment of the present invention;
fig. 6 is a schematic diagram of a terminal according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to make the objects, technical solutions and advantages of the present invention more apparent, the following description is made by way of specific embodiments with reference to the accompanying drawings.
As described in the related art, the existing research mainly performs evaluation of a single energy efficiency evaluation index for a single type of energy device, and is not suitable for an integrated energy system including multiple types of energy devices and having a mutual constraint relationship, such as a campus integrated energy system.
Taking a comprehensive energy system of a park as an example, the energy supply of the park generally consists of infrastructure such as an externally input medium-high voltage distribution network, a natural gas pipe network, a heat power pipe network and the like. With the progress of distributed power sources and energy storage technologies, local distributed photovoltaic, natural gas power generation, biomass power generation, battery energy storage and the like also become important energy facilities in a park, as shown in fig. 1. Therefore, the external purchased power, natural gas, local wind, light, geothermal and other resources jointly form the input energy of the park, and meanwhile, the public energy production and distribution facilities in the park and the energy production equipment distributed at each user jointly form an energy supply system of the park, so that the differentiated energy utilization requirements of each user in the park are met. It can be seen that the park integrated energy system is more complex than a single type of energy device, and an energy efficiency evaluation method for an integrated energy system containing multiple types of energy devices and having a mutual constraint relationship is urgently needed.
In order to solve the prior art problems, embodiments of the present invention provide a method, an apparatus, a terminal, and a storage medium for evaluating energy efficiency of an integrated energy system. First, a method for evaluating energy efficiency of an integrated energy system according to an embodiment of the present invention is described below.
The main execution body of the energy efficiency evaluation method of the integrated energy system may be an energy efficiency evaluation device of the integrated energy system, and the device may be a terminal with data processing capability, such as a server, a Network Attached Storage (NAS), or a Personal Computer (PC), and the embodiments of the present invention are not limited in particular.
Fig. 2 is a flowchart of an implementation of the energy efficiency evaluation method of the integrated energy system according to the embodiment of the present invention, which is detailed as follows:
In some embodiments, the set of energy efficiency evaluation scenarios includes at least one energy efficiency evaluation scenario, and the energy efficiency evaluation scenario includes a campus operation strategy, and load information and renewable energy information of the integrated energy system at a typical day of the season.
The park operation strategy may include a winter operation strategy, a summer operation strategy, and a spring and autumn operation strategy, wherein the winter operation strategy, the summer operation strategy, and the spring and autumn operation strategy are a hot-rated operation strategy or a hot-rated operation strategy. For example, the winter operation strategy is a hot fixed power operation strategy, the summer operation strategy is a hot fixed power operation strategy, and the spring and autumn operation strategy is a hot fixed power operation strategy.
The typical season day can be a typical summer day, a typical winter day or a typical spring and autumn day of the area where the target park is located, and each typical day contains load information within 1 day, such as change information of electricity consumption, heat consumption and cold consumption, and renewable energy information within 1 day, such as change information of wind power, photoelectricity, geothermal energy and other generated energy.
In some embodiments, the target energy efficiency evaluation scenario is any one energy efficiency evaluation scenario in the energy efficiency evaluation scenario set.
The input-output power flow of the integrated energy system of the target park can be characterized by 2 physical quantities: energy (energy),
(energy). Energy is based on the concept of the first law of thermodynamics, defined as a broad property of the system, the change in energy of the system between 2 states being equal to adiabatic work between these states;
it is proposed based on the second law of thermodynamics, which defines the work that can be obtained from a system when it reversibly changes from an arbitrary state to a state in mechanical equilibrium with a given environment,
is to turn overThe concept of mapping the properties of energy "prime". For example, the input energy source (input power flow) of the target park may be classified into 3 types of electricity, natural gas, renewable energy, and the terminal energy demand (output power flow) may be classified into 3 types of electricity, cold, and heat.
The evaluation of the energy efficiency of the park system is dependent on the energy flow @ofthe input and output
And (4) streaming. The park integrated energy system has the processes of energy conversion, storage, transmission and utilization, and in the processes, the energy is greater or less than the preset energy value
Merging, splitting and loss. In the park planning and designing stage, the system energy flow is not mastered, and when the system energy efficiency is pre-evaluated, the system input and output energy flow is calculated and then the system input and output energy flow is judged and judged
Flow, the system interior can be modeled, i.e., a weighted directed graph model of the integrated energy system of the target campus. Energy flow in the comprehensive energy system can be represented by a directed graph, physical attributes of the comprehensive energy flow can be simplified by utilizing the directed graph, and a system steady-state energy flow relation description method is established and can be used for pre-evaluation of system energy efficiency.
Specifically, a directed graph comprises a vertex set V and an edge set E, which can be expressed by G (V, E), wherein the vertex describes energy conversion, transmission, storage and utilization ports of the integrated energy system, the edge represents the connection between the ports, and the empowerment of the edge describes the energy flow loss characteristics between the ports. As shown in fig. 3, in which the vertex V1、V2、V3Represents the input energy port of the system electricity, natural gas and renewable energy sources, and the vertex V12、V13、V14The system electrical, cold and hot energy output ports are represented, and the other vertexes represent energy conversion, transmission or storage ports in the system. Two vertexes Vi、VjThe directed edge between is denoted as e (V)i,Vj) And represents the association between ports.
The system can be modeled with a normalized matrix according to the definition of the weighted directed graph. If the directed graph includes n vertices and m edges, the relationship between the vertices and the edges may be represented by the incidence matrix a ═ αik)n×mRepresents:
where ek denotes the kth edge, k being 1,2, …, m.
To assign a value to each edge of the graph to represent the length of the edge, a weight matrix W ═ W (W) may be establishedij)n×n. Here edge e (V)i,Vj) The right above is defined as
Wherein eta isijFor the efficiency of energy flow conversion between two vertices or
The stream conversion efficiency.
If each side in the graph is given the maximum capacity of the energy flow of the energy port corresponding to the starting point, another weight matrix can be obtained
Wherein, cijIs a vertex ViThe represented port is towards vertex VjThe maximum energy flow value output by the represented port; e (V)i,Vj) From vertex V of the representation systemiTo vertex VjThe edge of (2).
Let l be 1 path from some input vertex to some output vertex of the system. Defining vector X, X ═ X1,x2,…,xm)TThe elements are binary variables of 0 and 1:
the length of path l can be calculated as
For the system shown in FIG. 3, consider the system from V1To V131 path, then vector X satisfies:
AX＝(1,0,…,0,1,0)T
consider the following V1To V131 route of (1): e (1,3) → e (3,5) → e (5,9) → e (9,10) → e (10,13), the path length being calculated from equation (19):
dl＝-ln(η1,3η3,5η5,9η9,10η10,13)
when V is set13Output 1 Unit energy flow value, the energy flow value of the required input available at input node V1 is edl. Meanwhile, the energy flow value of each edge in the path can be traced. Under a certain scheduling mode, the selection of the system path can be mapped to the operation strategy of the system, so that the system can schedule each energy flow according to the selected path.
Optionally, the calculation formula of the input and output energy flow in the target energy efficiency evaluation scenario includes:
wherein, the first and the second end of the pipe are connected with each other,
respectively the purchased electricity quantity of the target park, the equivalent heat value of the purchased natural gas quantity and the total energy generated by the renewable energy of the target park in unit time;
respectively the total power consumption, the heat consumption and the cold consumption consumed by the target park in unit time;
the energy loss of the energy production link, the energy transmission link and the energy storage link are respectively.
Optional input and output under target energy efficiency evaluation scene
The calculation formula of the flow includes:
wherein the content of the first and second substances,
respectively, of the quantity of outsourcing electricity, quantity of outsourcing natural gas and total energy generated by renewable energy in the target park per unit time
For outputting power, cold and heat respectively for target park
Respectively destroyed in the conversion process
(irreversible energy grade reduction);
respectively for the total energy loss generated by the outsourcing of electricity, of the quantity of natural gas and of the renewable energy
(due to reduced heat dissipation, material loss, etc
)。
In particular, energy in the form of an energy source and
there is a relationship such as:
the electric energy being fully converted into mechanical energy, the system being able to input and output electric energy
Namely, input and output electric energy:
of natural gas
And energy is approximately expressed by its lower heating value LHV (MJ/m3) and flow rate m (m3/s) as:
heat quantity
Amount of mixed cold
Depending on the ratio of the temperature of the working medium to the ambient temperature:
wherein, TrefIs ambient temperature; t ish、TcIs the temperature of the working medium.
And for renewable energy sources such as wind energy, solar energy, biomass energy, geothermal energy and the like, wherein:
wind energy is kinetic energy, and for wind power generation, the kinetic energy of air flowing through a wind turbine is input wind energy
Wherein the content of the first and second substances,
is the mass flow of air passing through the wind turbine per unit time in kg/s; p1-P2Pressure change, MPa, for air flowing through the wind turbine; rho is the density of air, kg/m 3;
solar radiation is a heat energy, the corresponding heat
Is composed of
Wherein, IsW/m2 for solar irradiance; a is the irradiation area; t isaIs ambient temperature; t issThe solar temperature is, for example, 5777K.
Specifically, the energy flow value required to be provided by the starting point when the unit energy flow is output at the end point can be calculated by using the path length of the weighted directed graph, and the calculation process is as follows:
1) initializing energy flow values of all sides in a system directed graph model, calculating initial values of input energy flow values and output energy flow values of the system, and initializing 2 weight matrixes of the system, wherein the step is used for processing some preset values of the system;
2) discretizing the known output peak power flow into several unit step sizes, such as outputting power flow p to the system shown in FIG. 3 with a certain power flow value Δ p as step sizeV12、pV13、pV14Discretization is performed.
3) Finding feasible paths from each input node to each output node to form a path set of the system, such as input vertex V in FIG. 31To the output vertex V13Can be determined by solving the formula AX ═ (1,0, …,0,1,0)TThe equations described obtain all feasible solutions. And after the system path set is obtained, sequencing the system paths according to a certain priority rule.
4) Selecting a priority path in order of priority, using the above
Calculating the current path length d of the systemlObtaining the increment of the system input vertex energy flow value under the unit step length
And simultaneously tracing the energy flow value increment of each side in the path, superposing a new calculated value on the basis of calculating the energy flow value at the last time, judging whether the capacity of the side is exceeded or not, and if the capacity of the side is exceeded, deleting the path from the path in a centralized manner.
5) Judging whether the system output vertex meets the expected energy output requirement, if so, deleting all paths taking the vertex as an end point from the path set;
6) updating a system weight matrix and a system path set according to the calculation result of each side energy flow value;
7) and circulating until the system path set is empty or the energy flow of each output vertex reaches a set value, and finishing the system energy flow calculation.
In some embodiments, the energy efficiency evaluation index may reflect the energy utilization of the campus from multiple angles. The energy efficiency evaluation indexes at least comprise energy consumption, energy utilization rate, energy saving rate,
Efficiency,
Any two of the economic costs.
Specifically, the energy consumption may be a primary energy consumption, which is usually measured by being converted to standard coal. Natural gas, renewable energy that the target garden input are primary energy, and the input electric energy is secondary energy, can refer to GB/T2589-2008 and convert the garden primary energy consumption into standard coal consumption:
in the formula, pe、pg、preThe coefficient is converted into the coefficient of electric power, natural gas and renewable energy, and the unit is kgce/MJ.
Correspondingly, the energy utilization rate can be a primary energy utilization rate PER, which refers to a ratio of the output energy of the park to the primary energy consumption, and the numerical value of the energy utilization rate can represent the utilization level of the system to the primary energy:
wherein k ispThe lower calorific value of the standard coal is MJ/kg.
Accordingly, the energy saving rate may be a primary energy saving rate PESR, which refers to a primary energy consumption rate saved by the campus with reference to the conventional energy supply mode, which reflects the energy saving level of the campus, and is a relative index defined as follows:
wherein eta iseThe general efficiency from power generation of a power plant to delivery to a user; COP is the general efficiency of an electric refrigerator; etahIs the general thermal efficiency of gas/coal fired boilers.
wherein, ce、cc、creRespectively 3 kinds of input energy
Unit cost of ten thousand yuan;
the unit is ten thousand yuan/h for the reduced cost flow of all equipment investment and operation and maintenance cost.
The economic cost may reflect the value of energy production in the park.
And 204, calculating a comprehensive energy efficiency evaluation value of the target energy efficiency evaluation scene according to the plurality of energy efficiency evaluation index values of the target energy efficiency evaluation scene and the information entropy and weight corresponding to each energy efficiency evaluation index.
The following describes an implementation flow of the energy efficiency evaluation method of the integrated energy system according to an embodiment of the present invention with a specific example.
Taking a comprehensive energy system of an industrial park in the north of China as an example. The input energy for the campus includes outsourced electricity, natural gas and renewable energy. Wherein the input renewable energy comprises solar radiation and wind energy. The output of the park includes electricity, air-conditioning cold water at 7 ℃, air-conditioning hot water at 60 ℃ and steam at 180 ℃ under 1 MPa. Wherein, the air-conditioning heating medium water and the steam both belong to the heat supply of the garden.
The energy facilities of the park mainly include: power distribution facilities (TR) such as transformers, distributed Cooling, Heating and Power triple systems (Combined Cooling and Power, CCHP), ground source Heat Pumps (HP), steam boilers (Gas-fired Boiler, VGB), Vapor-absorbing refrigerators (VAR), Photovoltaic systems (PV), Wind Power generation systems (Wind Turbine, WT), and Battery Energy Storage systems (BES). The CCHP comprises a gas internal combustion engine and an absorption cold and hot water unit, the absorption cold and hot water unit comprises 2 working modes of refrigeration (cold water at 7 ℃) and heating (hot water at 90 ℃), and waste gas generated by power generation of the gas internal combustion engine is subjected to waste heat utilization through the absorption cold and hot water unit to generate cold or heat; the HP has 2 working modes of refrigeration and heating, and achieves higher heating/cooling efficiency by utilizing shallow geothermal heat, wherein for the sake of simplicity, the energy conversion efficiency of the HP is represented by a performance coefficient, and the geothermal heat is not used as an input energy; the VGB takes natural gas as input energy, 1MPa 180 ℃ steam is generated, part of the steam is used by industrial users in a production process, part of the steam is used by VAR, and the VAR also has 2 working modes of refrigeration and heating. Energy conversion efficiency model reference of typical equipment in the present invention.
It should be noted that, the various devices in the equivalent model are not actual physical devices, but are equivalents and abstractions of the distributed devices in the campus according to the energy conversion relationship. The total installed capacity configuration and investment operation and maintenance cost of each classification device of the garden are shown in a table I.
Watch 1
Build a directed graph of the system, as shown in FIG. 4, with vertex V1、V2、V3、V4Respectively representing the input ports of system power, natural gas, illumination and wind energy; vertex V16、V17、V18、V19Respectively representing system electrical, cold, hot and steam output ports; vertex V6、V7、V9、V14Respectively represent HP, CCHP, VAR and VGB; vertex V15BES is characterized, and is seen to be associated with output vertex V16A loop is formed.
Establishing a system incidence matrix and a weight matrix, and searching all feasible paths from an input vertex to an output vertex of the system, wherein l is shown in a table two12—l15A path including an energy storage link. Due to energy storage of stored energy, V15The vertices do not satisfy the balance of input-output power flows.
Watch two
Since the energy demand of a campus is often of a significant seasonal character, the energy efficiency of a campus needs to be evaluated over a time span, usually on a time scale of years. Depending on the working state of each energy device in the park, the system energy efficiency index is in change, and different system operation strategies can have obvious influence on the system energy efficiency index. Therefore, a system energy efficiency evaluation scene needs to be established by combining the energy demand characteristics and the park operation strategy. Considering that power and steam demand is present in the campus in each season, the heat and cold loads vary greatly with the season. In winter, users in the garden have the requirements for heating and production steam, and CCHP, HP and VAR are in heating working modes to provide air-conditioning heating medium water for heating of the users; in summer, garden users have the requirements of refrigeration and production steam, and CCHP, HP and VAR are in refrigeration working modes to provide air-conditioning refrigerant water for the users; in spring and autumn, the garden has no refrigeration or heating requirement. The heating season of the garden is 120 days, the cooling season is 138 days, and the spring and autumn are 107 days.
The load and renewable energy conditions of typical seasons are selected as the basic scene of energy efficiency evaluation. Meanwhile, the selection of garden operation strategies in winter, summer and spring and autumn is considered respectively, and an evaluation scene of garden energy efficiency is established. The present example extends the operation strategy of the park to "heating the thermal load (FTL)" and "heating the electrical load (FEL)" 2. Under the operation strategy of 'fixing power by heat', the heat balance of the system is prior, namely, the heat (cold) demand of a park is met firstly, and then the balance of electric power and energy is carried out; under the operation mode of 'fixing heat by electricity', the system firstly meets the electricity utilization requirement of the garden, and then the heat balance of the system is considered. And (4) corresponding to the established system directed graph model, the system operation strategy can be represented by the selection of the path. For the example system, the specific operation strategy and mapping path are selected as follows:
FEL: PV and WT power generation is consumed preferentially, the CCHP bears the demand of the rest part of power, and the rest part of power is balanced by outsourcing power; the CCHP power generation waste heat is used for heating (cooling), the insufficient part is supplemented by VAR firstly, the rest part is supplemented by HP, and the VGB bears the steam for production and the steam required by VAR for heating (cooling). At this time, the feasible paths of the system are sorted from high to low according to priority as follows: { l10,l11,l4,l1,l7(l6),l9(l5),l3(l2)}. Wherein, the paths in brackets are the paths of all the devices of the system in the refrigerating work mode.
FTL: CCHP regulates the power generated according to the system heat (cold) load demand, the heat (cold) load shortage is firstly borne by VAR, HP complements the rest, and VGB bears the production steam and the steam required by VAR for heating (cold). At this time, the priority of each feasible path of the system is as follows: { l7(l6),l9(l5),l3(l2),l10,l11,l4,l1}. Wherein, the paths in brackets are the paths of all the devices of the system in the refrigerating work mode.
Under the basic scenes of winter, summer and spring and autumn, 6 types of evaluation scenes are formed by combination based on the 2 operation strategies respectively, and the summary is shown in table three.
Watch III
| Numbering | Evaluation scenario | Numbering | Evaluation scenario |
| S1 | Winter, FTL | S4 | In summer, FEL |
| S2 | In winter, FEL | S5 | Spring and autumn FTL |
| S3 | Summer, FTL | S6 | Spring and autumn FEL |
As can be seen from the table III, each typical day contains the renewable energy and the load change within 1 day, the energy efficiency of the system is evaluated by taking 1h as the time interval length and the energy flow input and output by the system within the time interval. Therefore, assuming that the number of days of duration in winter, summer and spring-autumn in the garden is d1, d2 and d3, respectively, the system coexists (d1+ d2+ d3) × 24 × 2 evaluation states. The probability of each state occurring is proportional to the number of days corresponding to the seasonal type of the scene.
To achieve independent calculation for each time interval, referring to the above processing steps, at the initialization of step 1, the charge and discharge power of the BES is first pre-processed to make the BES stabilize the relatively high frequency fluctuation component in the system net electrical load (load minus photovoltaic and wind power generation), given l14、l15The initial energy flow value of the path, the energy flow values of other vertices and edges are initialized to 0, and l12—l15Removed from the system path set. Then, according to the input and output energy flow of the system under each scene
And calculating the result of the flow, calculating each index, and giving the maximum value and the minimum value of the calculation time period in each scene by using a table IV.
Watch four
Then, 5 energy efficiency evaluation indexes of the system are calculated under (d1+ d2+ d3) × 24 × 2 states, and in order to obtain the comprehensive energy efficiency evaluation of the system, the system evaluation indexes are normalized first, and the comprehensive energy efficiency of the system is evaluated by an entropy weight method. The information entropy and the weight of each index are shown in table five.
Watch five
Therefore, the information entropy of the primary energy consumption and the primary energy utilization rate is small, namely the uncertainty of the 2 indexes is large, and the 2 indexes have the largest weight in the comprehensive evaluation calculation. According to the index information entropy and the index weight, the comprehensive energy efficiency evaluation value of the system can be calculated as follows: r0.3969. Here, the value range of the comprehensive energy efficiency of the system is 0 to 1, and the higher the comprehensive energy efficiency value is, the better the system scheme is.
According to the analysis, each energy efficiency index of the system depends on the change of the input and the output of the system, and the energy efficiency of the system is influenced by the operation strategy of the system on the premise of knowing the output requirement. And comparing and evaluating the comprehensive energy efficiency of the system according to the weight of the index calculated in the fifth table. Considering the combination of the operation strategies in each season, 8 combination schemes are provided according to FTL and FEL2 operation strategies and 3 season scenes in winter, summer, spring and autumn, and the schemes and the evaluation results are shown in the table six.
Watch six
| Numbering | Operating scheme | Comprehensive energy efficiency |
| 1 | Winter FTL, summer FTL, spring and autumn FTL | 0.3905 |
| 2 | FTL in winter, FTL in summer, FEL in spring and autumn | 0.4072 |
| 3 | FTL in winter, FEL in summer, FTL in spring and autumn | 0.4186 |
| 4 | FTL in winter, FEL in summer, FEL in spring and autumn | 0.4329 |
| 5 | FEL in winter, FTL in summer, FTL in spring and autumn | 0.3998 |
| 6 | FEL in winter, FTL in summer, FEL in spring and autumn | 0.4123 |
| 7 | FEL in winter, FEL in summer, FTL in spring and autumn | 0.4199 |
| 8 | FEL in winter, FEL in summer, FEL in spring and autumn | 0.4334 |
It can be seen that the system achieves the highest overall energy efficiency under the operation scheme 8, namely the FEL operation scheme is recommended in each season. In the system, under the FEL mode, the system effectively consumes and utilizes the renewable energy power generation, the index of the primary energy utilization rate is higher than that of the FTL mode, and the weight of the index is relatively large, so that the FEL scheme obtains a higher evaluation result. It should be noted that the comprehensive energy efficiency of the campus is closely related to the configuration of system devices, resource conditions, load characteristics, etc., and the selection of the operation strategy needs to be performed according to the specific conditions of the campus.
Optionally, after the step 204, the following processing may be performed: and determining the park operation strategies of different seasons under the target energy efficiency evaluation scene corresponding to the maximum comprehensive energy efficiency evaluation value as the park operation strategies of the comprehensive energy system of the target park.
Therefore, the optimal path of the system, namely the park operation strategies in different seasons under the target energy efficiency evaluation scene corresponding to the maximum comprehensive energy efficiency evaluation value can be further obtained by utilizing the established directed graph model of the comprehensive energy system, so that guidance is provided for decision making of the system operation strategies.
The embodiment of the invention provides an energy efficiency evaluation method for an integrated energy system which contains multiple types of energy equipment and has a mutual constraint relation, a weighted directed graph model of the integrated energy system of a target park and an energy efficiency evaluation scene set of the integrated energy system are obtained, and then an input/output energy flow and an input/output energy flow of the integrated energy system under a target energy efficiency evaluation scene are calculated according to the weighted directed graph model
Flow, followed by input-output energy flow and input-output under the scenario of target energy efficiency evaluation
And finally, calculating a plurality of energy efficiency evaluation index values of the target energy efficiency evaluation scene, and calculating a comprehensive energy efficiency evaluation value of the target energy efficiency evaluation scene according to the plurality of energy efficiency evaluation index values of the target energy efficiency evaluation scene and the information entropy and weight corresponding to each energy efficiency evaluation index. In this way, the calculated comprehensive energy efficiency evaluation value can sufficiently reflect various energy utilization characteristics, so that the comprehensive energy system can be comprehensively evaluated in terms of energy efficiency, and the reference degree of the evaluation result is high. In addition, the directed graph path selection and the system operation strategy are mapped, so that a basis can be provided for the selection of the system operation strategy, and the method has guiding significance for the planning and the operation practice of the park comprehensive energy system.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
The following are embodiments of the apparatus of the invention, reference being made to the corresponding method embodiments described above for details which are not described in detail therein.
Fig. 5 is a schematic structural diagram illustrating an energy efficiency evaluation apparatus of an integrated energy system according to an embodiment of the present invention, and for convenience of description, only the portions related to the embodiment of the present invention are illustrated, and the details are as follows:
as shown in fig. 5, the energy efficiency evaluation device of the integrated energy system includes:
the acquiring module 501 is configured to acquire a weighted directed graph model of the integrated energy system of the target park and an energy efficiency evaluation scene set of the integrated energy system; the energy efficiency evaluation scene set comprises at least one energy efficiency evaluation scene, and the energy efficiency evaluation scene comprises a park operation strategy, load information of the comprehensive energy system in a typical season day and renewable energy information;
a first calculating module 502, configured to calculate an input/output energy flow and an input/output energy flow of the integrated energy system in a target energy efficiency evaluation scenario according to the weighted directed graph model
A stream; the target energy efficiency evaluation scene is any one energy efficiency evaluation scene in the energy efficiency evaluation scene set;
a second calculating module 503, configured to evaluate the input/output energy flow and the input/output according to the target energy efficiency
The method comprises the steps of flowing, calculating a plurality of energy efficiency evaluation index values of a target energy efficiency evaluation scene;
the third calculating module 504 is configured to calculate a comprehensive energy efficiency evaluation value of the target energy efficiency evaluation scene according to the multiple energy efficiency evaluation index values of the target energy efficiency evaluation scene and the information entropy and weight corresponding to each energy efficiency evaluation index.
In one possible implementation manner, the energy efficiency evaluation apparatus of the integrated energy system further includes a determination module configured to:
and determining the park operation strategies of different seasons under the target energy efficiency evaluation scene corresponding to the maximum comprehensive energy efficiency evaluation value as the park operation strategies of the comprehensive energy system of the target park.
In one possible implementation, the campus operation strategy includes a winter operation strategy, a summer operation strategy, and a spring and autumn operation strategy; the winter operation strategy, the summer operation strategy and the spring and autumn operation strategy are heat-to-electricity operation strategies or electricity-to-heat operation strategies.
In one possible implementation manner, the calculation formula of the input and output energy flow in the target energy efficiency evaluation scenario includes:
wherein the content of the first and second substances,
respectively the purchased electricity quantity of the target park, the equivalent heat value of the purchased natural gas quantity and the total energy generated by the renewable energy of the target park in unit time;
respectively the total power consumption, the heat consumption and the cold consumption consumed by the target park in unit time;
the energy loss of the energy production link, the energy transmission link and the energy storage link are respectively.
In one possible implementation manner, input and output under the scene of target energy efficiency evaluation
The calculation formula of the flow includes:
wherein the content of the first and second substances,
respectively, of the quantity of outsourcing electricity, quantity of outsourcing natural gas and total energy generated by renewable energy in the target park per unit time
For outputting power, cold and heat respectively to target parks
Respectively destroyed in the conversion process
Respectively for the total energy loss of the electricity purchased from outsourcing, the amount of natural gas purchased from outsourcing and the generation of renewable energy
In one possible implementation, the energy efficiency evaluation index at least includes energy consumption, energy utilization, energy saving,
Efficiency,
Any two of the economic costs.
The energy efficiency evaluation device of the comprehensive energy system firstly obtainsThe acquisition module acquires a weighted directed graph model of the comprehensive energy system of the target park and an energy efficiency evaluation scene set of the comprehensive energy system, and then the first calculation module calculates the input and output energy flow and the input and output energy flow of the comprehensive energy system under the target energy efficiency evaluation scene according to the weighted directed graph model
The flow is followed by a second computing module to evaluate the input and output energy flow and the input and output under the scene according to the target energy efficiency
And finally, a third calculation module calculates a comprehensive energy efficiency evaluation value of the target energy efficiency evaluation scene according to the plurality of energy efficiency evaluation index values of the target energy efficiency evaluation scene and the information entropy and weight corresponding to each energy efficiency evaluation index. In this way, the calculated comprehensive energy efficiency evaluation value can sufficiently reflect various energy utilization characteristics, so that the comprehensive energy system can be comprehensively evaluated in terms of energy efficiency, and the reference degree of the evaluation result is high. In addition, the directed graph path selection and the system operation strategy are mapped, so that a basis can be provided for the selection of the system operation strategy, and the method has guiding significance for the planning and the operation practice of the park comprehensive energy system.
Fig. 6 is a schematic diagram of a terminal according to an embodiment of the present invention. As shown in fig. 6, the terminal 6 of this embodiment includes: a processor 60, a memory 61, and a computer program 62 stored in the memory 61 and executable on the processor 60. The processor 60 executes the computer program 62 to implement the steps of the energy efficiency evaluation method embodiments of the respective integrated energy systems, such as the steps 201 to 204 shown in fig. 2. Alternatively, the processor 60, when executing the computer program 62, implements the functions of the modules/units in the above-described device embodiments, such as the functions of the modules 501 to 504 shown in fig. 5.
Illustratively, the computer program 62 may be divided into one or more modules/units, which are stored in the memory 61 and executed by the processor 60 to implement the present invention. One or more of the modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 62 in the terminal 6. For example, the computer program 62 may be divided into the modules 501 to 504 shown in fig. 5.
The terminal 6 may include, but is not limited to, a processor 60, a memory 61. It will be appreciated by those skilled in the art that fig. 6 is only an example of a terminal 6 and does not constitute a limitation of the terminal 6, and that it may comprise more or less components than those shown, or some components may be combined, or different components, for example the terminal may further comprise input output devices, network access devices, buses, etc.
The Processor 60 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory 61 may be an internal storage unit of the terminal 6, such as a hard disk or a memory of the terminal 6. The memory 61 may also be an external storage device of the terminal 6, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card) and the like provided on the terminal 6. Further, the memory 61 may also include both an internal storage unit and an external storage device of the terminal 6. The memory 61 is used for storing the computer program and other programs and data required by the terminal. The memory 61 may also be used to temporarily store data that has been output or is to be output.
It should be clear to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional units and modules is only used for illustration, and in practical applications, the above function distribution may be performed by different functional units and modules as needed, that is, the internal structure of the apparatus may be divided into different functional units or modules to perform all or part of the above described functions. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the technical solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus/terminal and method may be implemented in other ways. For example, the above-described apparatus/terminal embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the processes in the method according to the above embodiments may be implemented by a computer program, which may be stored in a computer readable storage medium, and when the computer program is executed by a processor, the steps of the energy efficiency evaluation method embodiments of the integrated energy system may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media which may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. An energy efficiency evaluation method of an integrated energy system is characterized by comprising the following steps:
acquiring a weighted directed graph model of a comprehensive energy system of a target park and an energy efficiency evaluation scene set of the comprehensive energy system; the energy efficiency evaluation scene set comprises at least one energy efficiency evaluation scene, and the energy efficiency evaluation scene comprises a park operation strategy, load information and renewable energy information of the comprehensive energy system in a typical season day;
according to the weighted directed graph model, calculating the input and output energy flow and the input and output energy flow of the comprehensive energy system under the target energy efficiency evaluation scene
A stream; the target energy efficiency evaluation scene is any one energy efficiency evaluation scene in the energy efficiency evaluation scene set;
according to the input and output energy flow and the input and output under the target energy efficiency evaluation scene
The flow is used for calculating a plurality of energy efficiency evaluation index values of the target energy efficiency evaluation scene;
and calculating a comprehensive energy efficiency evaluation value of the target energy efficiency evaluation scene according to the plurality of energy efficiency evaluation index values of the target energy efficiency evaluation scene and the information entropy and the weight corresponding to each energy efficiency evaluation index.
2. The energy efficiency evaluation method of the integrated energy system according to claim 1, wherein after the calculating of the integrated energy efficiency evaluation value of the target energy efficiency evaluation scenario, the method further comprises:
and determining the park operation strategies of different seasons under the target energy efficiency evaluation scene corresponding to the maximum comprehensive energy efficiency evaluation value as the park operation strategies of the comprehensive energy system of the target park.
3. The energy efficiency evaluation method of the integrated energy system according to claim 1 or 2, wherein the campus operation strategy includes a winter operation strategy, a summer operation strategy, and a spring and autumn operation strategy;
the winter operation strategy, the summer operation strategy and the spring and autumn operation strategy are a heat-fixed electricity operation strategy or an electricity-fixed heat operation strategy.
4. The energy efficiency evaluation method of the integrated energy system according to claim 1, wherein the calculation formula of the input and output energy flow in the target energy efficiency evaluation scenario comprises:
wherein the content of the first and second substances,
respectively representing the purchased electricity quantity of the target park, the equivalent heat value of the purchased natural gas quantity and the total energy generated by the renewable energy of the target park in unit time;
respectively the total power consumption, the heat consumption and the cold consumption consumed by the target park in unit time;
the energy loss of the energy production link, the energy transmission link and the energy storage link are respectively.
5. The energy efficiency evaluation method of the integrated energy system according to claim 1, wherein the input and output under the target energy efficiency evaluation scenario are input and output
The calculation formula of the flow includes:
wherein the content of the first and second substances,
respectively the purchased electric quantity, the purchased natural gas quantity and the total energy generated by the renewable energy sources in the unit time of the target park
For outputting power, cold and heat respectively for said target park
Respectively destroyed in the conversion process
Respectively of the quantity of outsourced electricity, the quantity of outsourced natural gas and the total energy loss generated by said renewable energy source
6. The method according to claim 1, wherein the energy efficiency evaluation index at least includes energy consumption, energy utilization, energy saving rate,
Efficiency,
Any two of the economic costs.
7. An energy efficiency evaluation device for an integrated energy system, comprising:
the system comprises an acquisition module, a calculation module and a storage module, wherein the acquisition module is used for acquiring a weighted directed graph model of a comprehensive energy system of a target park and an energy efficiency evaluation scene set of the comprehensive energy system; the energy efficiency evaluation scene set comprises at least one energy efficiency evaluation scene, and the energy efficiency evaluation scene comprises a park operation strategy, load information and renewable energy information of the comprehensive energy system on a seasonal typical day;
a first calculation module, configured to calculate an input/output energy flow and an input/output energy flow of the integrated energy system in a target energy efficiency evaluation scenario according to the weighted directed graph model
A stream; the target energy efficiency evaluation scene is any one energy efficiency evaluation scene in the energy efficiency evaluation scene set;
a second calculation module for calculating the input/output energy flow and the input/output according to the target energy efficiency evaluation scene
Calculating a plurality of energy efficiency evaluation index values of the target energy efficiency evaluation scene;
and the third calculation module is used for calculating a comprehensive energy efficiency evaluation value of the target energy efficiency evaluation scene according to the plurality of energy efficiency evaluation index values of the target energy efficiency evaluation scene and the information entropy and the weight corresponding to each energy efficiency evaluation index.
8. The energy efficiency evaluation device of an integrated energy system according to claim 7, characterized in that the device further comprises a determination module for:
and determining the park operation strategies of different seasons under the target energy efficiency evaluation scene corresponding to the maximum comprehensive energy efficiency evaluation value as the park operation strategies of the comprehensive energy system of the target park.
9. A terminal comprising a memory for storing a computer program and a processor for calling and executing the computer program stored in the memory, wherein the processor implements the steps of the method for evaluating energy efficiency of an integrated energy system according to any one of claims 1 to 6 when executing the computer program.
10. A computer-readable storage medium storing a computer program, wherein the computer program is executed by a processor to implement the steps of the method for evaluating energy efficiency of an integrated energy system according to any one of claims 1 to 6.
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