CN112686555A - Comprehensive analysis method, device and system for regional power distribution network - Google Patents
Comprehensive analysis method, device and system for regional power distribution network Download PDFInfo
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Abstract
The invention discloses a comprehensive analysis method, a device and a system for a regional power distribution network, which comprises the steps of obtaining a preset comprehensive analysis model for the regional power distribution network, wherein the comprehensive analysis model for the regional power distribution network comprises a target layer, a criterion layer and an analysis index calculation layer; inputting a plurality of regional distribution network cases to be analyzed into a regional distribution network comprehensive analysis model, and aiming at each regional distribution network case to be analyzed, generating a comprehensive analysis target by a target layer based on the regional distribution network cases; the criterion layer generates a plurality of analysis indexes based on the comprehensive analysis target; the analysis index calculation layer calculates corresponding index values for each analysis index; calculating the comprehensive weight of each to-be-analyzed regional distribution network case based on a preset weight coefficient and each index value corresponding to each to-be-analyzed regional distribution network case; and screening out the regional distribution network case with the maximum comprehensive weight as the optimal regional distribution network case analysis. The invention can realize comprehensive comparison and selection analysis on different transformation construction schemes of the regional power distribution network.
Description
Technical Field
The invention belongs to the technical field of power distribution network planning, and particularly relates to a comprehensive analysis method, a comprehensive analysis device and a comprehensive analysis system for a regional power distribution network.
Background
With the increasing energy crisis and environmental protection awareness, distributed power sources (especially distributed photovoltaic) are rapidly developed, and the trend of large-scale access to a power distribution network is obvious. The distributed power supply with typical characteristics of intermittence, randomness, volatility and the like can bring certain negative effects on safe and economic operation of the power distribution network, such as difficulty in local consumption of the distributed power supply due to output, node voltage out-of-limit, change of power flow distribution, increase of system network loss and the like. In addition, the electric vehicles, the electric heating equipment and other electrified equipment are connected into the power distribution network, so that the peak-valley difference of the power distribution network is increased, and the peak regulation and standby requirements are increased. The distributed energy storage is considered to be capable of effectively relieving the time sequence mismatching between the distributed power output and the load demand by virtue of the flexible charging and discharging regulation capability, so that the distributed energy storage is widely concerned in the planning of the regional power distribution network. Meanwhile, a set of analysis and evaluation system is necessary to be constructed so as to reasonably evaluate the comprehensive performance and the overall development level of the regional power distribution network.
At present, a lot of research achievements exist in the aspect of analysis and evaluation of a distributed power supply access power distribution network, but evaluation of single-aspect indexes is mainly performed, and comprehensive evaluation research on all indexes of the power distribution network is less; especially, the regional power distribution network with the distributed energy storage and the distributed power supply simultaneously accessed is evaluated by a fresh systematic comprehensive analysis system.
Disclosure of Invention
Aiming at the problems, the invention provides a comprehensive analysis method, a comprehensive analysis device and a comprehensive analysis system for a regional power distribution network, which can realize relatively comprehensive comparison and selection analysis on different transformation construction schemes of the regional power distribution network.
In order to achieve the technical purpose and achieve the technical effects, the invention is realized by the following technical scheme:
in a first aspect, the present invention provides a method for comprehensively analyzing a regional distribution network, including:
acquiring a preset regional distribution network comprehensive analysis model, wherein the regional distribution network comprehensive analysis model comprises a target layer, a rule layer and an analysis index calculation layer;
inputting a plurality of regional distribution network cases to be analyzed into the regional distribution network comprehensive analysis model, and aiming at each regional distribution network case to be analyzed, generating a comprehensive analysis target by the target layer based on the regional distribution network cases; the criterion layer generates a plurality of analysis indexes based on a comprehensive analysis target; the analysis index calculation layer calculates corresponding index values aiming at each analysis index;
calculating the comprehensive weight of each to-be-analyzed regional distribution network case based on a preset weight coefficient and each index value corresponding to each to-be-analyzed regional distribution network case;
and screening out the regional distribution network case with the maximum comprehensive weight as an optimal regional distribution network case, and completing the comprehensive analysis of the regional distribution network.
Optionally, the comprehensive analysis target is an analysis decision target, which includes an economic target, an environmental protection target and a reliability target.
Optionally, for economic objectives, the analysis indicators include investment cost, operation and maintenance cost, electricity purchasing cost, and electricity selling cost; for environmental objectives, the analysis metrics include pollutant reduction; aiming at the reliability target, the analysis index comprises the line loss rate and the load power shortage rate of the regional power distribution network.
Optionally, the calculation formula of the investment cost, the operation and maintenance cost, the electricity purchasing cost and the electricity selling cost is as follows:
CACC＝CINSfcr
COM(Pit)＝KOMiPitΔt
wherein i represents the number of a distributed power source or distributed energy storage in a regional power distribution network; n represents the total number of distributed power sources or distributed energy stores; t represents the operation period of the regional power distribution network; pitThe active power output of the distributed power supply or the distributed energy storage with the number i in the time period t is represented; cDEP-DERRepresents a depreciation cost of installation of a distributed power supply or distributed energy storage; cACCRepresents the annual average cost of installation of distributed power sources or distributed energy storage; prRepresents a rated power of a distributed power source or distributed energy storage; f. ofcfA capacity factor representing a distributed power source or distributed energy storage; cINSRepresents the installation cost of the distributed power supply or the distributed energy storage; f. ofcrA capital recovery factor representing distributed power or distributed energy storage; d represents interest rate or depreciation rate; l represents the lifetime of the distributed power supply or distributed energy storage; cOMRepresenting the operation and maintenance management cost of the distributed power supply or the distributed energy storage; kOMThe operation and maintenance management coefficient represents distributed power sources or distributed energy storage; delta t tableShowing an optimized time interval; cPEtRepresenting the expense of purchasing electricity from the regional distribution network; i isSEtRepresenting the income of regional distribution network electricity selling; cptRepresenting the electricity price of the regional distribution network when purchasing electricity; cstRepresenting the electricity price of the regional distribution network when selling electricity; pgridtThe interactive power between the regional distribution network and the system is represented, the value is positive when electricity is purchased, and the value is negative when electricity is sold.
Optionally, the pollutant reduction amount is calculated by the formula:
wherein, CENVThe cost of pollutant emission treatment for the regional distribution network; k is the type number of the discharged pollutant; m is the total number of types of pollutants discharged by the system under consideration; beta is akA cost factor required for treating the pollutant k; and alpha x k is the emission coefficient of various pollutants corresponding to different electric energy production modes.
Optionally, the line loss rate and the load power shortage rate of the regional power distribution network are calculated according to the following formula:
wherein, γavg: line loss rate of the regional distribution network; j: the number of radiation lines of the regional power distribution network; delta Pj: of the j-th lineLine loss; pj: load of jth line; deltaLPSP: the load power shortage rate; t is t0: an initial time; t: a comprehensive analysis period;
taking the value of the load power shortage; pload(t): the system load requirement at the moment t; qLPS(t): and (4) calculating the load power shortage.
Optionally, the method for obtaining the preset weight coefficient includes:
and calculating the weight coefficient of each analysis index by using an analytic hierarchy process.
In a second aspect, the present invention provides a regional distribution network comprehensive analysis device, including:
the system comprises an acquisition unit, a calculation unit and a calculation unit, wherein the acquisition unit is used for acquiring a preset regional distribution network comprehensive analysis model which comprises a target layer, a criterion layer and an analysis index calculation layer;
the first calculation unit is used for inputting a plurality of regional distribution network cases to be analyzed into the regional distribution network comprehensive analysis model, and aiming at each regional distribution network case to be analyzed, the target layer generates a comprehensive analysis target based on the regional distribution network case; the criterion layer generates a plurality of analysis indexes based on a comprehensive analysis target; the analysis index calculation layer calculates corresponding index values aiming at each analysis index;
the second calculation unit is used for calculating the comprehensive weight of each to-be-analyzed regional distribution network case based on a preset weight coefficient and each index value corresponding to each to-be-analyzed regional distribution network case;
and the analysis unit is used for screening out the regional distribution network case with the maximum comprehensive weight as an optimal regional distribution network case to complete the comprehensive analysis of the regional distribution network.
In a third aspect, the present invention provides a regional distribution network comprehensive analysis system, including a storage medium and a processor;
the storage medium is used for storing instructions;
the processor is configured to operate in accordance with the instructions to perform the steps of the method according to any one of the first aspects.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a comprehensive analysis method, a comprehensive analysis device and a comprehensive analysis system for a regional power distribution network, which can realize comprehensive comparison and selection analysis on different transformation construction schemes of the regional power distribution network.
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In order that the present invention may be more readily and clearly understood, reference is now made to the following detailed description of the invention taken in conjunction with the accompanying drawings, in which:
fig. 1 is a schematic flow chart of a comprehensive analysis method for a regional distribution network according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and do not limit the scope of the invention.
The following detailed description of the principles of the invention is provided in connection with the accompanying drawings.
Example 1
The embodiment of the invention provides a comprehensive analysis method for a regional distribution network, which comprises the following steps of:
acquiring a preset regional distribution network comprehensive analysis model, wherein the regional distribution network comprehensive analysis model comprises a target layer, a rule layer and an analysis index calculation layer;
inputting a plurality of regional distribution network cases to be analyzed into the regional distribution network comprehensive analysis model, and aiming at each regional distribution network case to be analyzed, generating a comprehensive analysis target by the target layer based on the regional distribution network cases; the criterion layer generates a plurality of analysis indexes based on a comprehensive analysis target; the analysis index calculation layer calculates corresponding index values aiming at each analysis index;
calculating the comprehensive weight of each to-be-analyzed regional distribution network case based on a preset weight coefficient and each index value corresponding to each to-be-analyzed regional distribution network case;
and screening out the regional distribution network case with the maximum comprehensive weight as an optimal regional distribution network case, and completing the comprehensive analysis of the regional distribution network.
In a specific implementation manner of the embodiment of the present invention, the comprehensive analysis target is an analysis decision target, which includes an economic target, an environmental protection target, and a reliability target.
Aiming at economic targets, the analysis indexes comprise investment cost, operation and maintenance cost, electricity purchasing cost and electricity selling cost; for environmental protection goals, the analysis index comprises pollutant reduction amount; aiming at the reliability target, the analysis index comprises the line loss rate and the load power shortage rate of the regional power distribution network.
The calculation formulas of the investment cost, the operation and maintenance cost, the electricity purchasing cost and the electricity selling cost are as follows:
CACC＝CINSfcr
COM(Pit)＝KOMiPitΔt
wherein i represents the number of a distributed power source or distributed energy storage in a regional power distribution network; n represents the total number of distributed power sources or distributed energy stores; t represents the operation period of the regional power distribution network; pitThe active power output of the distributed power supply or the distributed energy storage with the number i in the time period t is represented; cDEP-DERRepresents a depreciation cost of installation of a distributed power supply or distributed energy storage; cACCRepresents the annual average cost of installation of distributed power sources or distributed energy storage; prRepresents a rated power of a distributed power source or distributed energy storage; f. ofcfA capacity factor representing a distributed power source or distributed energy storage; cINSRepresents the installation cost of the distributed power supply or the distributed energy storage; f. ofcrA capital recovery factor representing distributed power or distributed energy storage; d represents interest rate or depreciation rate; l represents the lifetime of the distributed power supply or distributed energy storage; cOMRepresenting the operation and maintenance management cost of the distributed power supply or the distributed energy storage; kOMThe operation and maintenance management coefficient represents distributed power sources or distributed energy storage; Δ t represents the optimized time interval; cPEtRepresenting the expense of purchasing electricity from the regional distribution network; i isSEtRepresenting the income of regional distribution network electricity selling; cptRepresenting the electricity price of the regional distribution network when purchasing electricity; cstRepresenting the electricity price of the regional distribution network when selling electricity; pgridtThe interactive power between the regional distribution network and the system is represented, the value is positive when electricity is purchased, and the value is negative when electricity is sold.
The calculation formula of the pollutant emission reduction amount is as follows:
wherein, CENVThe cost of pollutant emission treatment for the regional distribution network; k is the type number of the discharged pollutant; m is the total number of types of pollutants discharged by the system under consideration; beta is akA cost factor required for treating the pollutant k; and alpha x k is the emission coefficient of various pollutants corresponding to different electric energy production modes.
The calculation formula of the line loss rate and the load power shortage rate of the regional power distribution network is as follows:
wherein, γavg: line loss rate of the regional distribution network; j: the number of radiation lines of the regional power distribution network; delta Pj: line loss of the jth line; pj: load of jth line; deltaLPSP: the load power shortage rate; t is t0: an initial time; t: a comprehensive analysis period;
taking the value of the load power shortage; pload(t): the system load requirement at the moment t; qLPS(t): and (4) calculating the load power shortage.
In a specific embodiment of the present invention, the method for obtaining the preset weight coefficient includes:
and calculating the weight coefficient of each analysis index by using an analytic hierarchy process.
The method for obtaining the preset weight coefficient is described in detail below with reference to a specific implementation process.
Constructing a judgment matrix, wherein the expression mode of the judgment matrix is as follows:
in the formula, n is the number of the analysis indexes, and the matrix represents the relative importance degree between different analysis indexes. And dividing the data into 9 grades according to different importance degrees, wherein the grades are 0.1-0.9. The rules for importance assessment are shown in table 1.
TABLE 1 importance degree score grades
The specific numerical selection needs expert scoring according to actual objects, and the relative importance is judged by comparing every two. Then, calculating the weight value of the factor set of each analysis index, wherein the calculation method comprises the following steps:
Wij＝Wix-Wjx+0.5
then, the overall weight of each analysis index is calculated, and the calculation method comprises the following steps:
Wix＝WyxWiy
and obtaining the overall weight of different analysis indexes. Finally, consistency check is carried out, and the calculation method is as follows:
in summary, the method in the embodiment of the present invention can be applied to the following scenarios:
(1) weak links of the power distribution network in the stock area are analyzed, different transformation schemes of the power distribution network in the stock area are comprehensively compared, so that upgrading and transformation of the power distribution network in the area are delayed, the consumption level of the power distribution network in the area to the distributed power supply is improved, and the running performance of the power distribution network in the area is improved.
(2) Different construction schemes of the incremental regional power distribution network are selected, and distributed power sources and/or distributed energy storage are optimally configured, so that the orderly development of the distributed power sources and the distributed energy storage is promoted, the investment of a power grid and the power sources is reduced, and a certain reference basis is provided for the construction and development of the incremental regional power distribution network.
Example 2
Based on the same inventive concept as embodiment 1, the embodiment of the present invention provides a comprehensive analysis device for a regional distribution network, including:
the system comprises an acquisition unit, a calculation unit and a calculation unit, wherein the acquisition unit is used for acquiring a preset regional distribution network comprehensive analysis model which comprises a target layer, a criterion layer and an analysis index calculation layer;
the first calculation unit is used for inputting a plurality of regional distribution network cases to be analyzed into the regional distribution network comprehensive analysis model, and aiming at each regional distribution network case to be analyzed, the target layer generates a comprehensive analysis target based on the regional distribution network case; the criterion layer generates a plurality of analysis indexes based on a comprehensive analysis target; the analysis index calculation layer calculates corresponding index values aiming at each analysis index;
the second calculation unit is used for calculating the comprehensive weight of each to-be-analyzed regional distribution network case based on a preset weight coefficient and each index value corresponding to each to-be-analyzed regional distribution network case;
and the analysis unit is used for screening out the regional distribution network case with the maximum comprehensive weight as an optimal regional distribution network case to complete the comprehensive analysis of the regional distribution network.
The rest of the process was the same as in example 1.
Example 3
Based on the same inventive concept as embodiment 1, the embodiment of the invention provides a regional distribution network comprehensive analysis system, which comprises a storage medium and a processor;
the storage medium is used for storing instructions;
the processor is configured to operate in accordance with the instructions to perform the steps of the method according to any of embodiment 1.
The rest of the process was the same as in example 1.
The foregoing shows and describes the general principles and broad features of the present invention and advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and their equivalents.
Claims (9)
1. A comprehensive analysis method for a regional distribution network is characterized by comprising the following steps:
acquiring a preset regional distribution network comprehensive analysis model, wherein the regional distribution network comprehensive analysis model comprises a target layer, a criterion layer and an analysis index calculation layer;
inputting a plurality of regional distribution network cases to be analyzed into the regional distribution network comprehensive analysis model, and aiming at each regional distribution network case to be analyzed, generating a comprehensive analysis target by the target layer based on the regional distribution network cases; the criterion layer generates a plurality of analysis indexes based on a comprehensive analysis target; the analysis index calculation layer calculates corresponding index values aiming at the analysis indexes respectively;
calculating the comprehensive weight of each to-be-analyzed regional distribution network case based on a preset weight coefficient and each index value corresponding to each to-be-analyzed regional distribution network case;
and screening out the regional distribution network case with the maximum comprehensive weight as an optimal regional distribution network case, and completing the comprehensive analysis of the regional distribution network.
2. The comprehensive analysis method for the regional distribution network according to claim 1, characterized in that: the comprehensive analysis target is an analysis decision target and comprises an economic target, an environmental protection target and a reliability target.
3. The comprehensive analysis method for the regional distribution network according to claim 2, characterized in that: aiming at economic targets, the analysis indexes comprise investment cost, operation and maintenance cost, electricity purchasing cost and electricity selling cost; for environmental objectives, the analysis metrics include pollutant reduction; aiming at the reliability target, the analysis index comprises the line loss rate and the load power shortage rate of the regional power distribution network.
4. The comprehensive analysis method for the regional distribution network according to claim 3, characterized in that: the calculation formulas of the investment cost, the operation and maintenance cost, the electricity purchasing cost and the electricity selling cost are as follows:
CACC＝CINSfcr
COM(Pit)＝KOMiPitΔt
wherein i represents the number of a distributed power source or distributed energy storage in a regional power distribution network; n represents the total number of distributed power sources or distributed energy storage; t represents the operation period of the regional power distribution network; pitThe active power output of the distributed power supply or the distributed energy storage with the number i in the time period t is represented; cDEP-DERRepresents a depreciation cost of installation of a distributed power supply or distributed energy storage; cACCRepresents the annual average cost of installation of distributed power sources or distributed energy storage; prRepresents the rated power of the distributed power source or the distributed energy storage; f. ofcfA capacity factor representing a distributed power source or distributed energy storage; cINSRepresents the installation cost of the distributed power supply or the distributed energy storage; f. ofcrA capital recovery factor representing distributed power or distributed energy storage; d represents interest rate orDepreciation rate; l represents the lifetime of the distributed power supply or distributed energy storage; cOMRepresenting the operation and maintenance management cost of the distributed power supply or the distributed energy storage; kOMThe operation and maintenance management coefficient represents distributed power sources or distributed energy storage; Δ t represents the optimized time interval; cPEtRepresenting the expense of purchasing electricity from the regional distribution network; i isSEtRepresenting the income of regional distribution network electricity selling; cptRepresenting the electricity price of the regional distribution network when purchasing electricity; cstRepresenting the electricity price of the regional distribution network when selling electricity; pgridtThe interactive power between the regional distribution network and the system is represented, the value is positive when electricity is purchased, and the value is negative when electricity is sold.
5. The comprehensive analysis method for the regional distribution network according to claim 3, characterized in that: the calculation formula of the pollutant emission reduction amount is as follows:
wherein, CENVThe cost of pollutant emission treatment for the regional distribution network; k is the type number of the discharged pollutant; m is the total number of types of pollutants discharged by the system under consideration; beta is akA cost factor required for treating the pollutant k;
and alpha x k is the emission coefficient of various pollutants corresponding to different electric energy production modes.
6. The comprehensive analysis method for the regional distribution network according to claim 3, characterized in that: the calculation formula of the line loss rate and the load power shortage rate of the regional power distribution network is as follows:
wherein, γavg: line loss rate of the regional distribution network; j: the number of radiation lines of the regional power distribution network; delta Pj: line loss of the jth line; pj: load of jth line; deltaLPSP: the load power shortage rate; t is t0: an initial time; t: a period of comprehensive analysis;
taking the value of the load power shortage; pload(t): the system load requirement at the moment t; qLPS(t): and calculating the load power shortage.
7. The comprehensive analysis method for the regional distribution network according to claim 1, wherein the method for obtaining the preset weight coefficient comprises:
and calculating the weight coefficient of each analysis index by using an analytic hierarchy process.
8. An area distribution network comprehensive analysis device, characterized by comprising:
the system comprises an acquisition unit, a calculation unit and a calculation unit, wherein the acquisition unit is used for acquiring a preset regional distribution network comprehensive analysis model which comprises a target layer, a criterion layer and an analysis index calculation layer;
the first computing unit is used for inputting a plurality of regional distribution network cases to be analyzed into the regional distribution network comprehensive analysis model, and aiming at each regional distribution network case to be analyzed, the target layer generates a comprehensive analysis target based on the regional distribution network case; the criterion layer generates a plurality of analysis indexes based on a comprehensive analysis target; the analysis index calculation layer calculates corresponding index values aiming at the analysis indexes respectively;
the second calculation unit is used for calculating the comprehensive weight of each to-be-analyzed regional distribution network case based on a preset weight coefficient and each index value corresponding to each to-be-analyzed regional distribution network case;
and the analysis unit is used for screening out the regional distribution network case with the maximum comprehensive weight as an optimal regional distribution network case to complete the comprehensive analysis of the regional distribution network.
9. The utility model provides a regional distribution network integrated analysis system which characterized in that: comprising a storage medium and a processor;
the storage medium is used for storing instructions;
the processor is configured to operate in accordance with the instructions to perform the steps of the method according to any one of claims 1 to 7.
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| CN106339779A (en) * | 2016-10-11 | 2017-01-18 | 东南大学 | Evaluation method for distributed power supply configuration scheme in power distribution network |
| US20180075695A1 (en) * | 2016-09-15 | 2018-03-15 | Erik Mowery Simpson | Implementations of various methods to create economic incentives to directly link users of a social network or social network reality game to actual projects and people within a charity or developing world area |
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| US20180075695A1 (en) * | 2016-09-15 | 2018-03-15 | Erik Mowery Simpson | Implementations of various methods to create economic incentives to directly link users of a social network or social network reality game to actual projects and people within a charity or developing world area |
| CN106339779A (en) * | 2016-10-11 | 2017-01-18 | 东南大学 | Evaluation method for distributed power supply configuration scheme in power distribution network |
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| CN113947273A (en) * | 2021-05-21 | 2022-01-18 | 国网河北省电力有限公司衡水供电分公司 | Multi-path distribution network cost accounting system based on big data |
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