CN113642879B - Virtual power plant capacity planning method for comprehensive energy efficiency improvement - Google Patents
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Abstract
The invention discloses a virtual power plant capacity planning method for comprehensive energy efficiency improvement, and belongs to the technical field of calculation, calculation or counting. Under the condition of known load level, a nonlinear programming method is adopted to establish a virtual power plant equipment capacity planning optimization model aiming at maximizing the comprehensive energy efficiency level of the virtual power plant; the provided comprehensive energy efficiency index reflecting the attribute of the energy quality is used for quantitatively analyzing the comprehensive energy efficiency level of the virtual power plant; and taking the construction capacity and the running state of each device as decision variables, and taking the comprehensive energy efficiency index of the maximized virtual power plant as a target to establish the model, thereby determining the construction capacity and the running state of each device in the virtual power plant. The model determines a plant construction capacity of the virtual power plant based on a load level within the virtual power plant.
Description
Technical Field
The invention relates to a power system planning technology, in particular to a virtual power plant capacity planning method for comprehensive energy efficiency improvement, and belongs to the technical field of calculation, calculation or counting.
Background
As an emerging matter in the energy internet environment in recent years, virtual power plants have become a current research hotspot. With the continuous development of virtual power plants, the exploration of comprehensive energy efficiency evaluation methods and optimization planning methods of virtual power plants has become one of the hot spot problems. At present, research contents of the virtual power plant are focused on the aspects of optimal scheduling and trade bidding, and relatively less work is done on the aspects of comprehensive energy efficiency evaluation and capacity planning of the virtual power plant. In addition, the existing research on the comprehensive energy efficiency evaluation method of the virtual power plant is roughly divided into two research angles of a first law of thermodynamics and a second law of thermodynamics. However, there are certain disadvantages to the energy efficiency evaluation methods from the above two points of view. The first law of thermodynamics is studied with a focus on the "amount" of energy, and ignores the "mass" of energy. The second law of thermodynamics, from the "mass" point of view of energy, means that only a portion of thermal energy can be converted into useful work, a typical indicator of which isEfficiency but the index/>The economic and environmental factors of the virtual power plant during construction and operation cannot be taken into the input end.
Currently, there is a certain result in the capacity planning research of the virtual power plant, but most of the existing capacity planning research of the virtual power plant aims at economy, and the comprehensive energy efficiency level of the virtual power plant is not considered. In fact, the integrated energy efficiency of the virtual power plant has important significance for the planning and operation of the virtual power plant. How to plan the virtual power plant from the comprehensive energy efficiency angle, and a more scientific and reasonable virtual power plant capacity planning method is provided.
Based on this, the present application aims at providing a method for producing a liquid crystal display byThe analysis method converts natural resources and social resources into unified measurement units, and converts economic and environmental factors during construction and operation of the virtual power plant into cost/>And then, a virtual power plant capacity planning target is brought in, and a virtual power plant capacity planning method for comprehensive energy efficiency improvement is provided.
Disclosure of Invention
The invention aims to provide a virtual power plant capacity planning method for improving comprehensive energy efficiency, provides virtual power plant comprehensive energy efficiency indexes reflecting the attribute of energy quality, establishes a virtual power plant equipment capacity planning optimization model aiming at maximizing the virtual power plant comprehensive energy efficiency level, achieves the aim of improving the virtual power plant comprehensive energy efficiency level, and solves the technical problem that the virtual power plant comprehensive energy efficiency level is not considered in the existing virtual power plant capacity planning research.
The invention adopts the following technical scheme for realizing the purposes of the invention:
A virtual power plant capacity planning method for comprehensive energy efficiency improvement comprises the following steps:
Step1, based on the thermodynamic field Concept of (1) and general/>The analysis method provides comprehensive energy efficiency indexes reflecting the attribute of energy quality, and calculates the output/> of the comprehensive energy virtual power plant according to the load resources and the energy supply method in the comprehensive energy virtual power plantThe value is calculated and the energy consumed by the comprehensive energy virtual power plant/>, according to the energy type of interaction between the comprehensive energy virtual power plant and the outsideValue, converting each cost related to the operation planning scheme of the comprehensive energy virtual power plant into cost consumed by the virtual power plant/>Values in energy/>Value and cost/>The sum of the values is used as the input/>, of the integrated energy virtual power plantValue, output/>Value and input/>The value of the value comparison is used as a comprehensive energy efficiency index calculation value of the comprehensive energy virtual power plant.
Step 2, under the condition that all parameters are known, taking the maximized comprehensive energy efficiency index as a target, establishing a virtual power plant equipment capacity planning optimization model, taking equipment construction capacity and equipment running state as decision variables by the virtual power plant equipment capacity planning model, and calculating comprehensive energy efficiency by optimizing a running planning scheme of the virtual power plant;
And step 3, determining a virtual power plant equipment capacity planning scheme when the comprehensive energy efficiency is maximum, namely taking the construction capacity and the running state of each equipment of the virtual power plant with the maximum comprehensive energy efficiency obtained by calculation as a final virtual power plant planning result.
The invention adopts the technical scheme and has the following beneficial effects: the invention discloses a virtual power plant capacity planning method for improving comprehensive energy efficiency, which firstly provides comprehensive energy efficiency indexes reflecting the attribute of energy quality so as to quantitatively analyze the comprehensive energy efficiency level of a virtual power plant; and secondly, taking the construction capacity and the running state of each device as decision variables, and taking the comprehensive energy efficiency index of the maximized virtual power plant as a target to establish the model, thereby determining the construction capacity and the running state of each device in the virtual power plant, and carrying out nonlinear programming on the virtual power plant through the established model to achieve the purpose of determining the construction capacity according to the load level of the virtual power plant.
Drawings
FIG. 1 is a flow chart of a method of planning capacity of a virtual power plant in accordance with the present invention.
Detailed Description
The technical scheme of the invention is described in detail below with reference to the accompanying drawings.
Based on the problem that the comprehensive energy efficiency level is not considered in the existing virtual power plant capacity planning scheme, the invention utilizes the second law of thermodynamicsConcept of efficiency by generalization/>The analysis method converts the social resource into the unified cost/>, which is unified with the energy resource measurement unitThe problem of overall comparison or calculation summation of the energy resources and the social resources is converted into the problem of calculation of the comprehensive energy efficiency index, so that a new thought is opened up for energy efficiency analysis of the energy system.
The invention discloses a virtual power plant capacity planning method for improving comprehensive energy efficiency, which takes a virtual power plant comprising a cogeneration unit, a gas boiler and energy storage as a planning object and comprises the following 3 steps.
Step 1: based on the thermodynamic fieldConcept of (1) and general/>The analysis method provides a comprehensive energy efficiency index calculation method reflecting the attribute of energy quality, and the comprehensive energy efficiency is calculated through the operation planning scheme of the virtual power plant.
The method for establishing the virtual power plant comprehensive energy efficiency index is shown in fig. 1, firstly, the virtual power plant comprehensive energy efficiency index reflecting the attribute of energy quality is provided; then, calculating the output of the integrated energy virtual power plant according to the load resources in the integrated energy virtual power plant and the energy supply methodA value; then, calculating the energy consumed by the comprehensive energy virtual power plant according to the energy type of interaction between the comprehensive energy virtual power plant and the outsideValue, converting each cost related to the operation planning scheme of the comprehensive energy virtual power plant into cost consumed by the virtual power plant/>Values in energy/>Value and cost/>The sum of the values is used as the input/>, of the integrated energy virtual power plantA value; finally, output/>Value and input/>The value of the value comparison is used as the comprehensive energy efficiency index of the comprehensive energy virtual power plant.
The virtual power plant comprehensive energy efficiency index reflecting the attribute of energy quality is calculated by adopting a formula (1):
In the formula (1), eta VPP represents the comprehensive energy efficiency index of the virtual power plant, and E in、Eout represents the input of the virtual power plant of the comprehensive energy source respectively Value, output/>A value; e e、Eh represents the electrical load/>, respectively, within the virtual power plantValue, heat load/>A value; e s represents environmental cost/>E 0 represents the energy consumed by the virtual power plant/>E inv represents investment cost/>E m represents maintenance cost/>E inter represents the cost of purchase/>From the definition, the comprehensive energy efficiency index considers the energy consumption factor, economic cost factor and environmental cost factor of the virtual power plant.
Electric load in virtual power plantThe value E e is calculated using equation (2):
In formula (2), D is the typical number of days per year; n d is the number of days corresponding to the d typical day; t is the total time period number corresponding to each day, and generally 24 is taken; p d,t is the electrical load power at the t-th typical day in the virtual power plant; lambda e represents the electrical load energy coefficient.
Considering that electric energy is the highest-grade energy source, and can be completely converted into work, the energy coefficient of the electric load is 1,
λe＝1 (3)。
Thermal load within a virtual power plantThe value E h is calculated using equation (4):
In the formula (4), H d,t is the heat load power of the t hour of the d typical day in the virtual power plant; lambda h represents the heat load energy coefficient, lambda h is calculated using equation (5),
In formula (5), T 0 represents an ambient temperature; t h represents the heat load temperature; both units are K.
Energy consumed by virtual power plantsE 0 mainly refers to electric energy, heat energy and natural gas energy consumed by the virtual power plant, and is calculated by adopting a formula (6):
In the formula (6), P year、Hyear、Gyear respectively represents electric energy, heat energy and natural gas energy consumed by the virtual power plant in the year; lambda e、λH、λg respectively represents energy coefficient corresponding to electric energy, heat energy and natural gas energy, and the meaning of the energy coefficient is to convert energy into A value; /(I)Representing electric power purchased by the power distribution network from the main network at the time t of the d typical day; /(I)Representing the heat power purchased by the distribution heat network from the main network at the t hour of the d typical day; /(I)The gas consumption at t hours on typical day d is shown.
The energy coefficient lambda g corresponding to the natural gas energy source is calculated by adopting the formula (7):
in formula (7), T 0 represents an ambient temperature; t represents the temperature at which the natural gas is completely combusted, and the units are K.
The energy quality coefficient lambda H of the hot water is calculated by adopting the formula (8):
In formula (8), T in represents a hot water supply temperature; t out represents the return water temperature of hot water, and the units are K. The energy coefficient lambda E of the electric energy still takes a value of 1,
λE＝1 (9)。
General applicationVirtual Power plant investment cost under analysis/>E inv is calculated using equations (10) through (12):
Einv＝eCCinv (10)，
in formulas (10) to (12), e C represents the generalization of unit funds in the context of a virtual power plant A value; c inv represents the equal annual investment construction cost of the virtual power plant; pi e,av represents an average value of the external electricity prices; pi gas represents the external natural gas price; pi heat represents the purchase price of heat. Furthermore,/>And/>Respectively representing the investment construction capacity of three devices of a cogeneration unit, a gas unit and a gas boiler; /(I)And/>Respectively representing the investment construction electric quantity and the investment construction capacity of the stored energy; /(I)Respectively representing the unit investment construction capacity cost of the three devices; /(I)And/>Respectively representing the unit investment construction electric quantity cost and the unit investment construction capacity cost of energy storage; and phi CHP、ψGS、ψGB、ψESS represents annual coefficient of cogeneration units, gas boilers, energy storage and the like.
General applicationVirtual Power plant maintenance cost under analysis/>E m is calculated by adopting the formula (13) and the formula (14):
Em＝eCCmnt (13)，
In the formulas (13) and (14), C mnt represents the annual maintenance cost of the virtual power plant; And/> Respectively representing the output values of three devices of a cogeneration unit, a gas unit and a gas boiler at the t hour of the d typical day; And/> The operation and maintenance cost of the unit output of the three devices is respectively represented; /(I)And/>Respectively representing the charge and discharge power of the stored energy at the t hour of the d typical day; /(I)The operation and maintenance cost of the charging and discharging power of the energy storage unit.
General applicationVirtual Power plant shopping cost under analysis/>E inter is calculated by adopting a formula (15) and a formula (16):
Einter＝eCCinter (15)，
In the formulas (15) and (16), C inter represents the purchase cost of the virtual power plant; pi e,t represents the external electricity purchase price at each moment, and the physical meaning of the rest variables is explained correspondingly before.
General applicationVirtual Power plant Environment cost under analysis/>E s is calculated by adopting a formula (17) and a formula (18):
Es＝eCCenvir (17)，
In the formulas (17) and (18), C envir represents the environmental cost of the virtual power plant; n env represents the number of emissions, the number is 4, and the emissions related to the invention mainly refer to four emission pollutants of sulfur dioxide (SO 2), nitrogen oxides (NO x), carbon dioxide (CO 2) and carbon monoxide (CO); ρ e represents the environmental governance cost of the e-th emission pollutant; A unit emission value representing an e-th emission pollutant generated from main power purchase; /(I) A unit emission value representing an e-th emission pollutant generated from the main network purchase heat; /(I)And represents the unit emission value of the e-th emission pollutant generated by combusting natural gas.
Step 2: under the condition that all parameters are known, a virtual power plant equipment capacity planning optimization model taking equipment construction capacity and equipment running state as decision variables is established with the aim of maximizing comprehensive energy efficiency indexes.
The objective function of the virtual power plant equipment capacity planning optimization model is as follows:
The constraint conditions include equipment installation capacity constraint, equipment physical operation constraint and system function constraint.
(21) Device installation capacity constraints:
in the formulae (20) to (24), Respectively representing the upper limit of investment construction capacity of three devices of a cogeneration unit, a gas unit and a gas boiler; /(I)Representing an upper limit of the capacity of the stored energy; /(I)Indicating the upper limit of the charge and discharge capacity of the stored energy.
(22) Device physical operation constraints:
In the formulae (25) to (31), And/>Respectively representing the electrical efficiency of the CHP unit, the thermal efficiency of the CHP unit, the electrical efficiency of the gas unit and the thermal efficiency of the gas boiler; /(I) Respectively represents the gas consumption of the d-th typical day and t hours of three devices of a cogeneration unit, a gas unit and a gas boiler.
In the formulas (32) and (33), η ch and η dis represent charge-discharge efficiency of the electric energy storage, respectively; And/> The initial and final values of the stored energy in a typical day are respectively indicated.
(23) System energy constraint:
Step 3: and (3) obtaining a virtual power plant equipment capacity planning scheme according to the optimization solution of the optimization model in the step (2), namely determining the construction capacity of each equipment of the virtual power plant and the running state of each equipment, wherein the construction capacity of each equipment of the virtual power plant is calculated to obtain the maximum comprehensive energy efficiency.
The above examples are only preferred embodiments of the present invention, it being noted that: it will be apparent to those skilled in the art that several modifications and equivalents can be made without departing from the principles of the invention, and such modifications and equivalents fall within the scope of the invention.
Claims (6)
1. A virtual power plant capacity planning method for improving comprehensive energy efficiency is characterized by establishing a virtual power plant equipment capacity planning optimization model aiming at maximizing a virtual power plant comprehensive energy efficiency index, taking the construction capacity and the running state of each equipment of a virtual power plant as decision variables, obtaining the optimal solution of the virtual power plant equipment capacity planning optimization model under equipment installation capacity constraint, equipment physical running constraint and system function constraint, wherein the virtual power plant comprehensive energy efficiency index is virtual power plant outputValue and input/>Ratio of values, the virtual plant input/>The value is energy consumed by the virtual power plant/>Cost involved with virtual power plant planning/>And, the cost involved in the virtual power plant planning/>By generalization/>Analyzing cost acquisition involved in virtual power plant planning; wherein,
The virtual power plant outputThe value is calculated according to the load resources in the virtual power plant and the energy supply method, E out＝Ee+Eh, wherein E out is the output/>, of the virtual power plantThe values E e、Eh are the electrical loads/>, respectively, within the virtual power plantValue, heat load/>The value of the sum of the values,Lambda e is the electrical load energy coefficient, D is the number of typical days per year, N d is the number of days corresponding to the D-th typical day, T is the total number of time periods corresponding to each day, P d,t is the electrical load power at T hours of the D-th typical day in the virtual power plant, lambda h is the thermal load energy coefficient, H d,t is the thermal load power at T hours of the D-th typical day in the virtual power plant,/>T 0 is the ambient temperature, T h is the heat load temperature;
Costs involved in the virtual power plant planning The values include: environment cost of virtual Power plant/>Investment cost/>Maintenance cost/>Cost of purchase/>
Investment costs of the virtual power plantThe expression of (2) is: e inv＝eCCinv, wherein E inv is the investment cost of the virtual power plantC C is the generalization/>, of unit funds in the context of a virtual power plantThe value, C inv, is the equi-annual investment construction cost of the virtual power plant, Pi e,av is the average value of external electricity price, pi gas is the external natural gas price, pi heat is the heat purchase price, and lambda e、λH、λg is the energy coefficient corresponding to electric energy, heat energy and natural gas energy respectively,/>And/>Investment construction capacities of three devices of a cogeneration unit, a gas unit and a gas boiler are respectively,/>And/>Respectively the investment construction electric quantity and the investment construction capacity of the energy storage,The unit investment construction capacity cost of three devices of a cogeneration unit, a gas unit and a gas boiler is respectively/>And/>The energy storage unit investment construction electric quantity cost and the energy storage unit investment construction capacity cost are respectively, and phi CHP、ψGS、ψGB、ψESS is an annual coefficient of cogeneration unit, a gas boiler, energy storage and the like;
Maintenance costs of the virtual power plant The expression of (2) is: e m＝eCCmnt, wherein E m is the maintenance cost of the virtual power plantC mnt is the annual maintenance cost of the virtual power plant,And/>Respectively the output values of three devices of a cogeneration unit, a gas unit and a gas boiler at the t hour of the d typical day,And/>Operation and maintenance cost of unit output of three devices respectively,/>And/>Respectively the charge and discharge power of the stored energy at the t hour of the d typical day,/>The operation and maintenance cost of the charging and discharging power of the energy storage unit.
2. The virtual power plant capacity planning method for comprehensive energy efficiency improvement according to claim 1, wherein the purchase energy cost of the virtual power plant is as followsThe expression of (2) is: e inter＝eCCinter,Einter is the cost of energy purchased by the virtual power plant/>C inter is the cost of purchasing power of the virtual power plant,/>Pi e,t is the external electricity purchase price at time t.
3. The virtual power plant capacity planning method for comprehensive energy efficiency improvement according to claim 2, wherein the virtual power plant environment costThe expression of (2) is: e s＝eCCenvir,Es is the environmental cost of the virtual power plant/>C envir is the environmental cost of the virtual power plant,/>N env is the number of emissions, ρ e is the environmental remediation cost for the e-th emission pollutant,/>Unit emission value for the e-th emission pollutant generated from main power purchaseUnit emission value of the e-th emission pollutant generated from main network purchase heat,/>Unit emission value for the e-th emission pollutant generated for combustion of natural gas.
4. A virtual power plant capacity planning method for comprehensive energy efficiency improvement as set forth in claim 3, wherein said virtual power plant consumes energyThe expression of (2) is: e 0＝λePyear+λHHyear+λgGyear,E0 is the energy consumed by the virtual power plant/>P year、Hyear、Gyear is the annual consumption electric energy, heat energy and natural gas energy of the virtual power plant respectively, Electric power purchased from main network by power distribution network at t hours of typical day d,/>For the heat power purchased by the heat supply network from the main network at the t hour of the d typical day,/>The gas consumption is the gas consumption at the T hour of the d typical day, T is the temperature of complete combustion of natural gas, T in is the hot water supply temperature, and T out is the hot water return temperature.
5. The virtual power plant capacity planning method for comprehensive energy efficiency improvement according to claim 4, wherein the expression of the comprehensive energy efficiency index is: η VPP is the comprehensive energy efficiency index.
6. The virtual power plant capacity planning method for comprehensive energy efficiency improvement according to claim 5, wherein,
The device installation capacity constraint includes:
the device physical operation constraints include:
the system energy constraint includes:
wherein, The upper limit of investment construction capacity of three devices of a cogeneration unit, a gas unit and a gas boiler is respectively defined as/>For the upper limit of the capacity of stored energy,/>Is the upper limit of the charge and discharge electric quantity of the stored energy,And/>The electric efficiency of the CHP unit, the thermal efficiency of the CHP unit, the electric efficiency of the gas unit and the thermal efficiency of the gas boiler are respectively/>The gas consumption of the d-th typical day at the t-th hour of three devices of a cogeneration unit, a gas unit and a gas boiler are respectively, and eta ch and eta dis are respectively the charge and discharge efficiency of electric energy storage, and are respectively/>And/>The initial value and the final value of the stored energy in a typical day are respectively stored energy.
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| KR20150029120A (en) * | 2013-09-09 | 2015-03-18 | 한국전기연구원 | Device for generating optimal scheduling model about virtual power plant, and method of generating optimal management model using the same |
| CN110571867A (en) * | 2019-09-18 | 2019-12-13 | 东北大学 | Day-ahead optimal scheduling system method for virtual power plant considering wind power uncertainty |
| WO2021098401A1 (en) * | 2019-11-18 | 2021-05-27 | 西安热工研究院有限公司 | Hybrid energy storage system capacity planning method based on improved particle swarm optimization algorithm |
| CN112949940A (en) * | 2021-03-17 | 2021-06-11 | 东南大学 | Comprehensive energy virtual power plant multi-equipment site selection method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| KR20150029120A (en) * | 2013-09-09 | 2015-03-18 | 한국전기연구원 | Device for generating optimal scheduling model about virtual power plant, and method of generating optimal management model using the same |
| CN110571867A (en) * | 2019-09-18 | 2019-12-13 | 东北大学 | Day-ahead optimal scheduling system method for virtual power plant considering wind power uncertainty |
| WO2021098401A1 (en) * | 2019-11-18 | 2021-05-27 | 西安热工研究院有限公司 | Hybrid energy storage system capacity planning method based on improved particle swarm optimization algorithm |
| CN112949940A (en) * | 2021-03-17 | 2021-06-11 | 东南大学 | Comprehensive energy virtual power plant multi-equipment site selection method |
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