CN113837448A - Operation optimization method for virtual power plant participating in rural energy internet construction - Google Patents

Operation optimization method for virtual power plant participating in rural energy internet construction Download PDF

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CN113837448A
CN113837448A CN202111006653.7A CN202111006653A CN113837448A CN 113837448 A CN113837448 A CN 113837448A CN 202111006653 A CN202111006653 A CN 202111006653A CN 113837448 A CN113837448 A CN 113837448A
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李鹏
王世谦
谭忠富
靳勇
余晓鹏
祖文静
鞠立伟
李慧璇
张泓楷
谢安邦
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Economic and Technological Research Institute of State Grid Henan Electric Power Co Ltd
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Abstract

The invention relates to an operation optimization method for a virtual power plant to participate in rural energy Internet construction, which comprises the following steps: analyzing a typical application scene of a virtual power plant participating in rural energy Internet construction; constructing a virtual power plant participation rural energy Internet operation model from the perspective of the life cycle cost of a virtual power plant participation project based on a typical application scene, wherein the virtual power plant participation rural energy Internet operation model comprises a cost benefit model and an operation evaluation model; and constructing a virtual power plant participating rural energy Internet operation sensitivity analysis model. The invention can improve the economical efficiency of the system, improve the utilization rate of energy, reduce the resource loss and reduce the environmental pollution.

Description

Operation optimization method for virtual power plant participating in rural energy internet construction
Technical Field
The invention belongs to the technical field of virtual power plants, and particularly relates to an operation optimization method for a virtual power plant participating in rural energy Internet construction.
Background
With the continuous strengthening of the resource and environment constraint of China, the traditional centralized energy development mode is difficult to follow, rural areas become new main bodies for developing energy internet and promoting energy structure transformation by means of renewable energy development potential and space resource advantages of the rural areas, how to accelerate rural resource energy regeneration through new technology application innovation becomes the problem which needs to be solved urgently in the current rural energy internet construction, the virtual power plant provides a prospective technical solution for realizing the optimal operation of the rural energy internet by aggregating distributed energy, but the application scene existing in the rural energy internet construction and operation based on the virtual power plant reduces resource loss and environmental pollution, and meanwhile, the problem which needs to be solved at present is to improve the economy of the virtual power plant participating in the rural energy internet construction.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides an operation optimization method for a virtual power plant to participate in rural energy Internet construction, which can improve the economical efficiency of a system, improve the utilization rate of energy, reduce resource loss and reduce environmental pollution.
The technical scheme adopted by the invention is as follows: an operation optimization method for a virtual power plant participating in rural energy Internet construction comprises the following steps:
a: analyzing a typical application scene of a virtual power plant participating in rural energy Internet construction;
b: based on a typical application scene, from the perspective of the life cycle cost of the participation items of the virtual power plant, a virtual power plant participation rural energy Internet operation model is constructed, which comprises a cost benefit model and an operation evaluation model,
the cost-benefit model includes an initial investment, an annual operational maintenance cost and an annual revenue for the project,
the operation evaluation model comprises economy, environmental protection and energy, indexes adopted by the economy comprise a net present value NPV, an internal yield IPR and a dynamic investment recovery period T, and indexes adopted by the environmental protection and energy comprise an energy utilization rate and a pollutant emission amount;
c: constructing a sensitivity analysis model for the operation of the virtual power plant participating in the rural energy Internet, wherein the sensitivity analysis comprises the following steps:
a: determining the indicators of the sensitivity analysis, including said net present value NPV, internal profitability IPR and dynamic return on investment T,
b: selecting uncertain factors, calculating the values of the sensitivity analysis indexes before and after the uncertain factors change,
c: and calculating the influence degree on the sensitivity analysis index when the uncertain factors change, wherein the calculation formula is as follows:
Figure BDA0003237457960000021
wherein F is an uncertainty factor, Δ F is a rate of change of the uncertainty factor, ENPV、EIRRAnd ETThe sensitivity coefficients of the net present value NPV, the internal yield IPR and the dynamic investment recovery period T to uncertain factors, NPVbeforeAnd NPVafterRespectively the numerical value of the net present value NPV before and after the change of the uncertain factor, IRRbeforeAnd IRRafterThe values of the internal yield IPR before and after the uncertain factor changes are respectively, and the values of the dynamic investment recovery period T before and after the uncertain factor changes are respectively.
Specifically, the initial investment of the project is the total investment cost of each device, specifically:
Figure BDA0003237457960000022
in the formula, C0For initial investment of the project, IiFor the unit investment of the ith plant, ViThe device capacity of the ith device is m, and the number of the devices is m;
the initial investment of the project is posted to each year, and the annual investment cost is obtained as follows:
Figure BDA0003237457960000031
in the formula (I), the compound is shown in the specification,
Figure BDA0003237457960000032
for the j-th year investment, (A/P, r, n) is the capital investment coefficient, where r is the discount rate and n is the life span of the project.
Specifically, the annual operation and maintenance cost is a total operation and maintenance cost of each device, and specifically includes:
Figure BDA0003237457960000033
in the formula (I), the compound is shown in the specification,
Figure BDA0003237457960000034
for the operating maintenance cost of the j-th year,
Figure BDA0003237457960000035
for the unit maintenance cost of the ith equipment at the time t of the jth year,
Figure BDA0003237457960000036
the device capacity of the ith device in the j-th year 8760 is the total hours of the j-th year.
Specifically, the annual revenue is specifically:
Figure BDA0003237457960000037
in the formula (I), the compound is shown in the specification,
Figure BDA0003237457960000038
for the energy supply income of the virtual power plant in the j year,
Figure BDA0003237457960000039
for the total amount of energy supplied in the j-th year,
Figure BDA00032374579600000310
the energy supply unit price of the j year.
Specifically, the calculation formula of the net present value NPV is:
Figure BDA00032374579600000311
the internal yield IPR refers to the discount rate when the total amount of the capital inflow present value is equal to the total amount of the capital outflow present value, and the net present value is equal to zero, and specifically refers to
Figure BDA00032374579600000312
The dynamic payback period T refers to the time required to equate the cumulative economic benefit to the initial investment cost, specifically
Figure BDA0003237457960000041
Specifically, the energy utilization rate refers to the ratio of energy output to energy input, specifically, the energy utilization rate refers to the ratio of energy output to energy input
Figure BDA0003237457960000042
In the formula etajFor the system energy utilization rate of the j-th year,
Figure BDA0003237457960000043
for the j-th year energy output,
Figure BDA0003237457960000044
the input amount of energy in the j year;
the pollutant discharge amount refers to the total amount of pollutants generated by the system, and specifically is
Figure BDA0003237457960000045
In the formula (I), the compound is shown in the specification,
Figure BDA0003237457960000046
for the total amount of pollutants produced in the j-th year,
Figure BDA0003237457960000047
CO produced by separate unit energy supply2、SO2、NOx。
Specifically, the uncertainty factor includes equipment unit investment and equipment capacity in the initial investment of the project.
The invention has the beneficial effects that: according to the method, the typical application scene of the virtual power plant participating in the rural energy Internet construction is determined and given, the operation model of the virtual power plant participating in the rural energy Internet is analyzed by using the algorithm, so that the operation scheme for improving the system economy can be obtained, the energy utilization efficiency is improved, the environmental pollution is reduced, and meanwhile, the sensitivity analysis model can be constructed, so that the system economy can be conveniently analyzed.
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FIG. 1 is a flow chart of the present invention.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments of the present invention, belong to the protection scope of the present invention, and are specifically described below with reference to the embodiments.
As shown in fig. 1, the present invention comprises the steps of:
a: analyzing a typical application scene of a virtual power plant participating in rural energy Internet construction;
b: based on a typical application scene, from the perspective of the life cycle cost of the participation items of the virtual power plant, a virtual power plant participation rural energy Internet operation model is constructed, which comprises a cost benefit model and an operation evaluation model,
the cost-benefit model includes an initial investment, an annual operational maintenance cost and an annual revenue for the project,
the initial investment of the project is the total investment cost of each device, and specifically comprises the following steps:
Figure BDA0003237457960000051
in the formula, C0For initial investment of the project, IiFor the unit investment of the ith plant, ViThe device capacity of the ith device is m, and the number of the devices is m;
the initial investment of the project is posted to each year, and the annual investment cost is obtained as follows:
Figure BDA0003237457960000052
in the formula (I), the compound is shown in the specification,
Figure BDA0003237457960000053
for the j-th year investment, (A/P, r, n) is the capital investment coefficient, where r is the discount rate and n is the life span of the project.
The annual operation and maintenance cost is the total operation and maintenance cost of each device, and specifically comprises the following steps:
Figure BDA0003237457960000054
in the formula (I), the compound is shown in the specification,
Figure BDA0003237457960000055
for the operating maintenance cost of the j-th year,
Figure BDA0003237457960000056
for the unit maintenance cost of the ith equipment at the time t of the jth year,
Figure BDA0003237457960000057
the equipment capacity of the ith equipment in the j-th year 8760 is the total hours of the j-th year (365 days).
The annual income is specifically as follows:
Figure BDA0003237457960000061
in the formula (I), the compound is shown in the specification,
Figure BDA0003237457960000062
for the energy supply income of the virtual power plant in the j year,
Figure BDA0003237457960000063
for the total amount of energy supplied in the j-th year,
Figure BDA0003237457960000064
the energy supply unit price of the j year.
The operation evaluation model comprises economy, environmental protection and energy, indexes adopted by the economy comprise a net present value NPV, an internal yield IPR and a dynamic investment recovery period T, indexes adopted by the environmental protection and energy comprise an energy utilization rate and a pollutant discharge amount,
the calculation formula of the net present value NPV is as follows:
Figure BDA0003237457960000065
the internal yield IPR refers to the discount rate when the total amount of the capital inflow present value is equal to the total amount of the capital outflow present value, and the net present value is equal to zero, and specifically refers to
Figure BDA0003237457960000066
The dynamic payback period T refers to the time required to equate the cumulative economic benefit to the initial investment cost, specifically
Figure BDA0003237457960000067
The energy utilization rate refers to the ratio of energy output to energy input, and specifically refers to
Figure BDA0003237457960000068
In the formula etajFor the system energy utilization rate of the j-th year,
Figure BDA0003237457960000069
for the j-th year energy output,
Figure BDA00032374579600000610
the input amount of energy in the j year;
the pollutant discharge amount refers to the total amount of pollutants generated by the system, and specifically is
Figure BDA00032374579600000611
In the formula (I), the compound is shown in the specification,
Figure BDA0003237457960000071
for the total amount of pollutants produced in the j-th year,
Figure BDA0003237457960000072
CO produced by separate unit energy supply2、SO2、NOx。
C: constructing a sensitivity analysis model for the operation of the virtual power plant participating in the rural energy Internet, wherein the sensitivity analysis comprises the following steps:
a: determining the indicators of the sensitivity analysis, including said net present value NPV, internal profitability IPR and dynamic return on investment T,
b: selecting uncertain factors including unit investment and equipment capacity in the initial investment of the project, calculating values of sensitivity analysis indexes before and after the uncertain factors change,
c: and calculating the influence degree on the sensitivity analysis index when the uncertain factors change, wherein the calculation formula is as follows:
Figure BDA0003237457960000073
wherein F is an uncertainty factor, Δ F is a rate of change of the uncertainty factor, ENPV、EIRRAnd ETThe sensitivity coefficients of the net present value NPV, the internal yield IPR and the dynamic investment recovery period T to uncertain factors, NPVbeforeAnd NPVafterRespectively the numerical value of the net present value NPV before and after the change of the uncertain factor, IRRbeforeAnd IRRafterThe values of the internal yield IPR before and after the uncertain factor changes are respectively, and the values of the dynamic investment recovery period T before and after the uncertain factor changes are respectively.
The river south virtual power plant participates in rural energy Internet construction for empirical analysis, four typical application scenes are rural concentrated energy utilization, rural family life, rural agricultural breeding industry and rural industrial industry, the rural concentrated energy utilization is mainly embodied as a novel concentrated community in rural areas, villagers concentrate life and energy utilization are concentrated, and load types generally comprise: the system has the advantages that the system has large electric, heat and cold loads and large total load, can be uniformly scheduled by a multi-energy complementary operator or a power grid to meet the energy supply requirement, and is suitable for the load supply requirement of a large-scale distributed unit. "rural family life" mainly embodies the present distributed individual family in rural area, and the energy consumption is dispersed, and the load kind generally contains: the load of electricity, heat and cold is less, but the total amount of load is mostly self-sufficient type, can design by the user of family by oneself, is fit for small-size distributed unit supply load demand. The rural agricultural breeding industry is mainly embodied in rural (centralized or individual) agricultural production, such as pumping irrigation by utilizing clean energy, illuminating a greenhouse and recycling biogas residues in a biogas digester, and the main load types generally comprise: and the electric load and the heat load are determined by the size of the production scale to determine the size of the distributed unit. "rural industrial industry" mainly embodies for rural novel industry garden, and is similar with urban industry garden, concentrates the power consumption, and has obvious power consumption peak valley period, and the main load kind generally includes: the system has the advantages that various loads such as electricity, heat, cold and gas are generally large in energy consumption, the system is suitable for the requirement of large-scale distributed units on supply load, and the requirement of multiple energy complementary operators or power grids on unified scheduling for supply and application energy is met.
Various device parameter settings are shown in table 1:
TABLE 1 Equipment parameters and cost settings
Figure BDA0003237457960000081
Based on the calculation formulas of the equipment parameters, the net present value, the internal profitability, the investment recovery period, the energy utilization rate and the pollutant discharge amount in table 1, the operation evaluation index values under four scenes are obtained and are shown in table 2:
TABLE 2 running evaluation index values under four typical scenarios
Figure BDA0003237457960000091
In order to verify the effect of the rural energy internet operation optimization method provided by the invention, the traditional rural energy supply method is evaluated by adopting indexes of net present value, internal profitability, investment recovery period, energy utilization rate and pollutant emission, and the evaluation result is shown in table 3:
TABLE 3 running evaluation index values under four typical scenario legacy modes
Figure BDA0003237457960000092
Comparing table 3 with table 2, it can be seen that the conventional energy supply scheme has a slow investment recovery period, a small net present value, a low energy utilization efficiency and a large pollutant emission, which indicates that the operation optimization method provided by the present invention can improve the economy of the system, improve the energy utilization efficiency, reduce the resource loss and reduce the environmental pollution.
Finally, selecting a virtual power plant and rural industrial energy utilization mode with relatively low investment earning rate to perform sensitivity analysis, selecting a project net present value, an internal earning rate and an investment recovery period as sensitivity analysis indexes, selecting a construction scale as uncertainty factors including equipment unit investment and equipment capacity, and obtaining sensitivity analysis results according to a sensitivity analysis formula as shown in table 4:
TABLE 4 results of sensitivity analysis
Figure BDA0003237457960000093
As can be seen from table 4, as the construction scale is enlarged (the load is increased), the economic efficiency of the system tends to be gradually improved, and therefore, in the process of constructing the multifunctional complementary system, the load amount that the system can satisfy is emphasized, and the multifunctional complementary system is constructed based on the load amount, so as to achieve better economic efficiency.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.

Claims (7)

1. An operation optimization method for a virtual power plant participating in rural energy Internet construction is characterized by comprising the following steps:
a: analyzing a typical application scene of a virtual power plant participating in rural energy Internet construction;
b: based on a typical application scene, from the perspective of the life cycle cost of the participation items of the virtual power plant, a virtual power plant participation rural energy Internet operation model is constructed, which comprises a cost benefit model and an operation evaluation model,
the cost-benefit model includes an initial investment, an annual operational maintenance cost and an annual revenue for the project,
the operation evaluation model comprises economy, environmental protection and energy, indexes adopted by the economy comprise a net present value NPV, an internal yield IPR and a dynamic investment recovery period T, and indexes adopted by the environmental protection and energy comprise an energy utilization rate and a pollutant emission amount;
c: constructing a sensitivity analysis model for the operation of the virtual power plant participating in the rural energy Internet, wherein the sensitivity analysis comprises the following steps:
a: determining the indicators of the sensitivity analysis, including said net present value NPV, internal profitability IPR and dynamic return on investment T,
b: selecting uncertain factors, calculating the values of the sensitivity analysis indexes before and after the uncertain factors change,
c: and calculating the influence degree on the sensitivity analysis index when the uncertain factors change, wherein the calculation formula is as follows:
Figure FDA0003237457950000011
wherein F is an uncertainty factor, Δ F is a rate of change of the uncertainty factor, ENPV、EIRRAnd ETThe sensitivity coefficients of the net present value NPV, the internal yield IPR and the dynamic investment recovery period T to uncertain factors, NPVbeforeAnd NPVafterRespectively the numerical value of the net present value NPV before and after the change of the uncertain factor, IRRbeforeAnd IRRafterThe values of the internal yield IPR before and after the uncertain factor changes are respectively, and the values of the dynamic investment recovery period T before and after the uncertain factor changes are respectively.
2. The operation optimization method for the virtual power plant to participate in the rural energy internet construction according to claim 1, is characterized in that: the initial investment of the project is the total investment cost of each device, and specifically comprises the following steps:
Figure FDA0003237457950000021
in the formula, C0For initial investment of the project, IiFor the unit investment of the ith plant, ViThe device capacity of the ith device is m, and the number of the devices is m;
the initial investment of the project is posted to each year, and the annual investment cost is obtained as follows:
Figure FDA0003237457950000022
in the formula (I), the compound is shown in the specification,
Figure FDA0003237457950000023
for the j-th year investment, (A/P, r, n) is the capital investment coefficient, where r is the discount rate and n is the life span of the project.
3. The operation optimization method for the virtual power plant to participate in the rural energy internet construction according to claim 1, is characterized in that: the annual operation and maintenance cost is the total operation and maintenance cost of each device, and specifically comprises the following steps:
Figure FDA0003237457950000024
in the formula (I), the compound is shown in the specification,
Figure FDA0003237457950000025
for the operating maintenance cost of the j-th year,
Figure FDA0003237457950000026
for the unit maintenance cost of the ith equipment at the time t of the jth year,
Figure FDA0003237457950000027
the device capacity of the ith device in the j-th year 8760 is the total hours of the j-th year.
4. The operation optimization method for the virtual power plant to participate in the rural energy internet construction according to claim 1, wherein the annual revenue is specifically as follows:
Figure FDA0003237457950000028
in the formula (I), the compound is shown in the specification,
Figure FDA0003237457950000029
for the energy supply income of the virtual power plant in the j year,
Figure FDA00032374579500000210
for the total amount of energy supplied in the j-th year,
Figure FDA00032374579500000211
the energy supply unit price of the j year.
5. The operation optimization method for the virtual power plant to participate in the rural energy internet construction according to claim 1, is characterized in that:
the calculation formula of the net present value NPV is as follows:
Figure FDA0003237457950000031
the internal yield IPR refers to the discount rate when the total amount of the capital inflow present value is equal to the total amount of the capital outflow present value, and the net present value is equal to zero, and specifically refers to
Figure FDA0003237457950000032
The dynamic payback period T refers to the time required to equate the cumulative economic benefit to the initial investment cost, specifically
Figure FDA0003237457950000033
6. The operation optimization method for the virtual power plant to participate in the rural energy internet construction according to claim 1, is characterized in that:
the energy utilization rate refers to the ratio of energy output to energy input, and specifically refers to
Figure FDA0003237457950000034
In the formula etajFor the system energy utilization rate of the j-th year,
Figure FDA0003237457950000035
for the j-th year energy output,
Figure FDA0003237457950000036
the input amount of energy in the j year;
the pollutant discharge amount refers to the total amount of pollutants generated by the system, and specifically is
Figure FDA0003237457950000037
In the formula (I), the compound is shown in the specification,
Figure FDA0003237457950000038
for the total amount of pollutants produced in the j-th year,
Figure FDA0003237457950000039
CO produced by separate unit energy supply2、SO2、NOx。
7. The operation optimization method for the virtual power plant to participate in the rural energy internet construction according to claim 2, characterized in that: the uncertainty factors include equipment unit investment and equipment capacity in the initial investment of the project.
CN202111006653.7A 2021-08-30 2021-08-30 Operation optimization method for virtual power plant participating in rural energy internet construction Pending CN113837448A (en)

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