CN110310005A - New distribution net benefit calculation analysis method - Google Patents

New distribution net benefit calculation analysis method Download PDF

Info

Publication number
CN110310005A
CN110310005A CN201910385020.8A CN201910385020A CN110310005A CN 110310005 A CN110310005 A CN 110310005A CN 201910385020 A CN201910385020 A CN 201910385020A CN 110310005 A CN110310005 A CN 110310005A
Authority
CN
China
Prior art keywords
output
investment
voltage class
input
area
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201910385020.8A
Other languages
Chinese (zh)
Inventor
谭玉东
廖菁
谢欣涛
候益灵
李湘华
文明
章德
盛鵾
谢车轮
何丽柔
禹海峰
李梦娇
蒋星
徐彬焜
周红
肖雅元
何书耕
李云丰
沈菁雯
朱思睿
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
State Grid Hunan Electric Power Co Ltd
Economic and Technological Research Institute of State Grid Hunan Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
State Grid Hunan Electric Power Co Ltd
Economic and Technological Research Institute of State Grid Hunan Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by State Grid Corp of China SGCC, State Grid Hunan Electric Power Co Ltd, Economic and Technological Research Institute of State Grid Hunan Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN201910385020.8A priority Critical patent/CN110310005A/en
Publication of CN110310005A publication Critical patent/CN110310005A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0637Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Educational Administration (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Theoretical Computer Science (AREA)
  • Development Economics (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • Quality & Reliability (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Health & Medical Sciences (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a kind of new distribution net benefit calculation analysis methods, the power distribution network input-output evaluation of urban index including establishing meter and geographical space attribute;Regional grid benefit is calculated;The benefit sensibility of regional electric grid investment is calculated and analyzed;Component voltage grade invests local distribution network and carries out aid decision;Power distribution network is invested based on index redundancy and carries out aid decision.The present invention can accurately and intuitively reflect the efficiency of investment and Investment Trend of each department power grid, and provide guidance from voltage class and operation element aspect for power distribution network investment orientation;The method of the present invention is more in line with the actual needs of power grid assessment and planning, and calculating process is simple and explicit physical meaning, being capable of relatively accurate and intuitive reflection local distribution network input-output ratio and existing deficiency.

Description

New distribution net benefit calculation analysis method
Technical field
Present invention relates particularly to a kind of new distribution net benefit calculation analysis methods.
Background technique
With the development of economic technology, electric power safeguard becomes one of most important task of electric system.Distribution project is big All gone into operation according to the actual demand of local distribution network, it, must to each department power distribution network operation project when carrying out investment decision There must be specific aim appropriate and advanced, to meet growth trend of the distribution for electric load of summing of different regions power grid. On the one hand, excessive advanced investment will cause the waste of power construction resource;On the other hand, operation distribution network construction project pair It is needed to refer to when whether the castering action of area power grid benefit reaches planning level and whether is rationally also planning.This When, consider to carry out performance evaluation by scale of the area to existing power distribution network, for instructing decision, the huge construction fund of new projects Reasonable employment, improve improve area power grid investment decision management level, promote area power grid Electrification construction, optimization area electricity The network structure of net and the reasonable utilization efficiency for improving resource all have important social effect and economic significance.
In recent years, many experts and scholars carry out the mathematical method that local distribution network economic benefit of investment is evaluated both at home and abroad Deeply analysis, and pass through the normalized and weight calculation of index, obtain the synthesis number of electric grid investment evaluation of economic benefit Learn model.There are many more experts and scholars to have studied returns of investment index system, and using the comprehensive multiple benefits of the method for weighting Thus relevant indication information obtains the composite target for being able to reflect out returns of investment overall condition, overall merit side Theoretical category owned by France in multiple criteria decision making (MCDM), common method include that analytic hierarchy process (AHP), simple weighted average method, fuzzy synthesis are commented Valence method, gray theory evaluation assessment and emerging intelligent Evaluation method etc..
But by summarize related research result it can be found that the evaluation of existing power distribution network only for it is single or several Local distribution network carries out overall merit, lacks from the level of power grid enterprises and carries out complete input-output evaluation of urban to local distribution network And analysis model, while also lacking the perfect analysis method of science to the investment orientation of area power grid.
Summary of the invention
The purpose of the present invention is to provide a kind of high reliablity and the preferable new distribution net benefit calculation analyses of accuracy Method.
This new distribution net benefit calculation analysis method provided by the invention, includes the following steps:
S1. the power distribution network input-output evaluation of urban index of meter and geographical space attribute is established;
S2. regional grid benefit is calculated;
S3. the benefit sensibility of regional electric grid investment is calculated and is analyzed;
S4. component voltage grade invests local distribution network and carries out aid decision;
S5. it is based on index redundancy, power distribution network is invested and carries out aid decision.
The power distribution network input-output evaluation of urban index of foundation meter and geographical space attribute described in step S1 is specific using as follows Index is as input-occupancy-output analysis and output index:
Input-occupancy-output analysis: 110 kilovolts of power transformation capacities, 35 kilovolts of power transformation capacities, capacity of distribution transform, 110 KV line length, 35,000 Lie prostrate line length and 10 or 20 KV line length;
Output index: the benefit output index of area power grid investment is with year electricity consumption, annual peak load, powering area and use Electric population.
Regional grid benefit is calculated described in step S2, is specially calculated using following steps:
A. area power grid benefit is calculated using following formula:
θ is effectiveness and 0≤θ≤1 of a certain local distribution network investment relative to output in formula;ε is non-Archimedes Dimensionless;R is input-occupancy-output analysis, and s is input-occupancy-output analysis number;I is output index, and m is output index number;WithFor pine Relaxation variable,For the ineffective investment amount of input-occupancy-output analysis r,Output for output index i is in shortage;λjFor various regions to be evaluated Area's linear combination coefficient;xrjIt is j-th of area to the input amount of input-occupancy-output analysis r;xrj0For the initial throwing of jth area input-occupancy-output analysis r Enter amount, yijQuantum of output for j-th of area to output index i, yij0For the initial quantum of output of jth area output index r.
B. local distribution network input-output ratio calculated result K is calculated using following formula:
C. according to the local distribution network input-output ratio calculated result K of step B, area is divided according to following rule Class:
If somewhere K=1, show the power distribution network constant returns to scale of this area;
If somewhere K < 1 shows the power distribution network increasing return to scale of this area;
If somewhere K > 1 shows the power distribution network decreasing return to scale of this area.
The benefit sensibility of regional electric grid investment is calculated and analyzed described in step S3, specially using following step Suddenly it is calculated and is analyzed:
A. each department tight constraint input-occupancy-output analysis is filtered out;The tight constraint input-occupancy-output analysis is to refer to that slack variable value is 0 Index;
B. a certain tight constraint input-occupancy-output analysis of area power grid is successively increased to 5% from -5% one by one, and keeps other and throws Entering index is that initial value is constant, and recalculates effectiveness of the local distribution network investment relative to output;
C. according to step b obtain local distribution network investment relative to output effectiveness with tight constraint input-occupancy-output analysis change Change trend, and compare effective journey of the difference tight constraint input-occupancy-output analysis variation in areal to local distribution network investment relative to output The influence of degree, determines sensitivity factors;The sensitivity factors is defined as: if the small size variation of certain tight constraint input-occupancy-output analysis is just Local distribution network investment can be made to have greatly changed relative to the effectiveness of output, which is referred to as sensitivity factors;It is small Amplitude variation is defined as: tight constraint input-occupancy-output analysis amplitude is changed to 5% from -5%;Biggish variation is defined as: investment is opposite It is more than or equal to 5% in the effectiveness θ value amplitude of variation of output.
Component voltage grade described in step S4 invests local distribution network and carries out aid decision, specially using following step It is rapid to carry out aid decision:
It (1) is three classes by 110 kilovolts, 35 kilovolts and 10 kilovoltage grade classifications by the input-occupancy-output analysis of foundation: 110 kilovolts Have: 110 kilovolts of power transformation capacities and 110 KV line length;35 kilovolts have: 35 kilovolts of power transformation capacities and 35 KV line length; 10 kilovolts have: capacity of distribution transform and 10 or 20 KV line length;
(2) the input-occupancy-output analysis redundancy under the voltage class of each department three is calculatedAnd by each department input-occupancy-output analysis Redundancy is cumulative by voltage class;
(3) according to the accumulation result of step (2), to each voltage class redundancy by being ranked up from big to small, to each electricity Pressing grade investment importance priority is sequence adverse consequences, i.e. the higher voltage class investment importance of redundancy is lower, superfluous The lower voltage class investment importance of remaining is higher.
Based on index redundancy described in step S5, power distribution network is invested and carries out aid decision, specially using following step It is rapid to carry out aid decision:
1) track investment decision is calculated using following formula:
K is voltage class (k=110kV, 35kV, 10kV) in formula;For each department route redundancy under k voltage class it With;N is regional number;For routing indicator redundancy under the k voltage class of jth area;
K is voltage class, value k=110kV, 35kV or 10kV in formula;For route under the k voltage class of somewhere The sum of redundancy;M is routing indicator number under somewhere k voltage class;For routing indicator redundancy;
2) power transformation capacity investment decision is calculated using following formula:
K is voltage class in formula and value is k=110kV, 35kV or 10kV;For each department power transformation under k voltage class The sum of capacity redundancy;N is regional number;For power transformation capacity redundancy under the k voltage class of jth area;
K is voltage class in formula and value is k=110kV, 35kV or 10kV;For power transformation under the k voltage class of somewhere The sum of capacity redundancy;L is power transformation capacity index number under somewhere k voltage class;For power transformation capacity index redundancy;
3) according to step 1) and step 2) be calculated as a result, being determined using following rule to route and power transformation capacity Investment orientation: for track investment priority, the whole province's voltage classIt is worth more big then preferential to the voltage class track investment Grade is smaller;To the track investment under Mr. Yu province each department, this area's voltage classIt is more big then to this area's voltage class Track investment priority is smaller.Priority, the whole province's voltage class are invested for power transformationThe value the big then to become the voltage class Electricity investment priority is smaller;To the power transformation investment under Mr. Yu province each department, this area's voltage classIt is more big then to this area It is smaller that priority is invested in the voltage class power transformation
This new distribution net benefit calculation analysis method provided by the invention, according to geospatial information the considerations of foundation The local distribution network input-output evaluation of urban index of attribute calculates the input-output ratio of area power grid, analyzes to each department power grid Investment orientation;The method of the present invention passes through the scale efficiency of research area's power grid and the redundancy of each department input and output index, The efficiency of investment and Investment Trend of more acurrate and intuitive reflection each department power grid, and go out in terms of voltage class and operation element Hair provides guidance for power distribution network investment orientation;The method of the present invention is more in line with the actual needs of power grid assessment and planning, calculates Process is simple and explicit physical meaning, can relatively accurate and intuitive reflection local distribution network input-output ratio and it is existing not Foot.
Detailed description of the invention
Fig. 1 is the method flow schematic diagram of the method for the present invention.
Fig. 2 is each utility grid investment potential schematic diagram in Hunan Province of the embodiment of the method for the present invention.
Fig. 3 is the Zhuzhou local distribution network efficiency sensitivity analysis schematic diagram of the embodiment of the method for the present invention.
Fig. 4 is that Hunan Province's different voltages grade of the embodiment of the method for the present invention invests redundancy schematic diagram.
Fig. 5 is Hunan Province's different voltages grade line length redundancy schematic diagram of the embodiment of the method for the present invention.
Fig. 6 is track investment priority schematic diagram under the voltage class from different places of the embodiment of the method for the present invention.
Fig. 7 is Hunan Province's different voltages grade power transformation capacity redundancy schematic diagram of the embodiment of the method for the present invention.
Fig. 8 invests priority schematic diagram for power transformation capacity under the voltage class from different places of the embodiment of the method for the present invention.
Specific embodiment
It is as shown in Figure 1 the method flow schematic diagram of the method for the present invention: this new distribution net benefit provided by the invention Calculation and analysis methods include the following steps:
S1. the power distribution network input-output evaluation of urban index of meter and geographical space attribute is established;Specifically use following index conduct Input-occupancy-output analysis and output index:
Input-occupancy-output analysis: 110 kilovolts of power transformation capacities, 35 kilovolts of power transformation capacities, capacity of distribution transform, 110 KV line length, 35,000 Lie prostrate line length and 10 or 20 KV line length;
Output index: the benefit output index of area power grid investment is with year electricity consumption, annual peak load, powering area and use Electric population;
S2. regional grid benefit is calculated;Specially calculated using following steps:
A. area power grid benefit is calculated using following formula:
θ is effectiveness and 0≤θ≤1 of a certain local distribution network investment relative to output in formula;ε is non-Archimedes Dimensionless;R is input-occupancy-output analysis, and s is input-occupancy-output analysis number;I is output index, and m is output index number;WithFor pine Relaxation variable,For the ineffective investment amount of input-occupancy-output analysis r,Output for output index i is in shortage;λjFor various regions to be evaluated Area's linear combination coefficient;xrjIt is j-th of area to the input amount of input-occupancy-output analysis r;xrj0For the initial throwing of jth area input-occupancy-output analysis r Enter amount, yijQuantum of output for j-th of area to output index i, yij0For the initial quantum of output of jth area output index r.
B. local distribution network input-output ratio calculated result K is calculated using following formula:
C. according to the local distribution network input-output ratio calculated result K of step B, area is divided according to following rule Class:
If somewhere K=1, show the power distribution network constant returns to scale of this area;Power grid construction investment and benefit output Reach preferable state, not only ensure that each Input Factors are fully used, but also can farthest meet local electricity consumption need It asks;
If somewhere K < 1 shows the power distribution network increasing return to scale of this area;Power grid continues returns of investment and rises;
If somewhere K > 1 shows the power distribution network decreasing return to scale of this area;Current electric grid construction scale has been subjected to Greatly, when continuing growing investment, income (output) increased efficiency is not high, is not further continued for increasing the enthusiasm of investment;
S3. the benefit sensibility of regional electric grid investment is calculated and is analyzed;Specially counted using following steps It calculates and analyzes:
A. each department tight constraint input-occupancy-output analysis is filtered out;The tight constraint input-occupancy-output analysis is to refer to that slack variable value is 0 Index;
B. a certain tight constraint input-occupancy-output analysis of area power grid is successively increased by 5% and -5% one by one, and keeps other investments Index is that initial value is constant, and recalculates effectiveness of the local distribution network investment relative to output;
C. local distribution network investment that step b obtains effectiveness and tight constraint input-occupancy-output analysis relative to output are obtained Trend, and compare effectiveness of the difference tight constraint input-occupancy-output analysis variation in areal to local distribution network investment relative to output Influence, and determine sensitivity factors;The sensitivity factors is defined as: if the small size variation of certain parameter can be such that area matches Power grid is put into have greatly changed relative to the effectiveness of output, which is referred to as sensitivity factors;What is slightly changed determines Justice are as follows: tight constraint input-occupancy-output analysis amplitude is changed to 5% from -5%;Biggish variation is defined as: investment having relative to output Effect degree θ value amplitude of variation is more than or equal to 5%.
S4. component voltage grade invests local distribution network and carries out aid decision;Specially assisted using following steps Decision:
It (1) is three classes by 110 kilovolts, 35 kilovolts and 10 kilovoltage grade classifications by the input-occupancy-output analysis of foundation: 110 kilovolts Have: 110 kilovolts of power transformation capacities and 110 KV line length;35 kilovolts have: 35 kilovolts of power transformation capacities and 35 KV line length; 10 kilovolts have: capacity of distribution transform and 10 or 20 KV line length;
(2) the input-occupancy-output analysis redundancy under the voltage class of each department three is calculatedAnd by each department input-occupancy-output analysis Redundancy is cumulative by voltage class;
(3) according to the accumulation result of step (2), the investment orientation to voltage class is determined.To each voltage class redundancy It is sequence adverse consequences to each voltage class investment importance priority, i.e. redundancy is higher by being ranked up from big to small Voltage class investment importance is lower, and the lower voltage class investment importance of redundancy is higher.;
S5. it is based on index redundancy, power distribution network is invested and carries out aid decision;Specially assisted using following steps Decision:
1) track investment decision is calculated using following formula:
K is voltage class (k=110kV, 35kV, 10kV) in formula;For each department route redundancy under k voltage class it With;N is regional number;For routing indicator redundancy under the k voltage class of jth area;
K is voltage class, value k=110kV, 35kV or 10kV in formula;For route under the k voltage class of somewhere The sum of redundancy;M is routing indicator number under somewhere k voltage class;For routing indicator redundancy;
2) power transformation capacity investment decision is calculated using following formula:
K is voltage class in formula and value is k=110kV, 35kV or 10kV;For each department power transformation under k voltage class The sum of capacity redundancy;N is regional number;For power transformation capacity redundancy under the k voltage class of jth area;
K is voltage class in formula and value is k=110kV, 35kV or 10kV;For power transformation under the k voltage class of somewhere The sum of capacity redundancy;L is power transformation capacity index number under somewhere k voltage class;For power transformation capacity index redundancy;
3) according to step 1) and step 2) be calculated as a result, being determined using following rule to route and power transformation capacity Investment orientation: for track investment priority, the whole province's voltage classIt is worth more big then preferential to the voltage class track investment Grade is smaller;To the track investment under Mr. Yu province each department, this area's voltage classIt is more big then to this area's voltage class Track investment priority is smaller.Priority, the whole province's voltage class are invested for power transformationThe value the big then to become the voltage class Electricity investment priority is smaller;To the power transformation investment under Mr. Yu province each department, this area's voltage classIt is more big then to this area It is smaller that priority is invested in the voltage class power transformation.
Below by taking Hunan Province as an example, the method for the present invention is further described:
21.18 ten thousand sq-km of Hunan Province's area, accounts for the 2.2% of national total area.Have 13 cities, 1 autonomous prefecture under its command (122 counties, city, areas), until 2017 end of the year the whole province permanent resident population, 68,600,000 people.Inside the province mainly based on mountainous region and hills landforms, The 66.62% of the whole province's area is accounted for, in addition domestic a plurality of big small river is criss-cross, makes the complicated multiplicity of the land type of the province.Extremely The end of the year 2017, Hunan Province's utility network (without local electricity, be free of user) 110 kv substation 671, main transformer 1118, Capacity is 40,520,000 kilovolt-amperes total;35 kv substations 850, main transformer 1389, capacity are 8,260,000 kilovolt-amperes total;10 kilovolts Public distribution transforming 229590, capacity are 50,030,000 kilovolt-amperes total.110 KV line 1381, total 20688 kms;35 kilovolts 1582, route, total 19760 kms;10 KV line amount to 213235 kms.
(1) returns of investment comprehensive assessment analysis is carried out by example of 14 districts and cities' power distribution networks in Hunan, according to the finger of foundation Mark, 14 districts and cities' partial datas are as shown in table 1.
1 districts and cities, Hunan Province input and output achievement data (part) of table
(2) the results are shown in Table 2 (part) for the input and output of each department power distribution network
2 Hunan Province each department power distribution network input-output ratio calculated result of table
(3) each department power distribution network input-output ratio calculating classification results are as shown in table 3, and it is each to obtain Hunan Province according to result Utility grid investment potential is as shown in Figure 2.
3 power grid efficiency integrated decision-making result of table
Area K value Invest validity
Changsha K=1 Investment is effective
Zhuzhou K<1 Investment return is incremented by
Xiang Tan K<1 Investment return is incremented by
Hengyang K=1 Investment is effective
Shaoyang K=1 Investment is effective
Yueyang K=1 Investment is effective
Changde K=1 Investment is effective
Zhangjiajie K=1 Investment is effective
Yiyang K=1 Investment is effective
Chenzhou K=1 Investment is effective
Yongzhou K>1 Investment return successively decreases
Huaihua K>1 Investment return successively decreases
Loudi K=1 Investment is effective
The western Hunan K=1 Investment is effective
(4) area power grid sensitivity analysis.By taking the area of Zhuzhou as an example, input-occupancy-output analysis slack variable value is as shown in table 4.
4 Zhuzhou area power grid input-occupancy-output analysis slack variable value of table
Throwing in the case where keeping other investments and constant output index, to 110kV power transformation capacity (tight constraint index) Enter to measure ± 5% variation, carries out power grid efficiency calculation using model;10kV line length is taken into ± 5% variation later, and is counted Calculation obtains the situation of change of Zhuzhou area power grid each index slack variable value and returns of investment, as a result as shown in Figure 3.
(4) power distribution network of component voltage grade invests aid decision.By each input-occupancy-output analysis slack variable of districts and cities, 14, Hunan Province It is merged according to voltage class, the relaxation that 14 ground utility grids are put at 110kV, 35kV and 10kV can be obtained according to table 2 and become The sum of amount is respectively as follows: 1742,383 and 235, as a result as shown in Figure 4.Wherein, the investment resource redundancy under 110kV voltage class is remote Greater than the investment redundancy of other two voltage class;Since the investment redundancy of 10kV level Grid is minimum, then as Hunan Save the constructing emphases in subsequent regional electric grid investment improvement project.
(5) power distribution network based on index redundancy invests aid decision.
(a) routing indicator investment decision: 1) by voltage class: the line length redundancy of the 14 ground utility grids in Hunan Province is pressed It is merged according to voltage class, obtains the amount of redundancy difference of its line length under tri- voltage class of 110kV, 35kV and 10kV It is 1187,142 and 235.4, as shown in Figure 5.Known to 110kV line length redundancy it is maximum, 35kV and 10kV route redundancy compared with Small, wherein 35kV route redundancy is minimum, and therefore, 35kV route will be Hunan Province in subsequent area power grid track remodelling engineering Constructing emphases in project.2) by area: by route redundancy under each voltage class of Zhuzhou, Xiang Tan, Yongzhou, Huaihua according to big Small to be ranked up, if the route redundancy of a certain voltage class is high, the priority which goes into operation is just low, draws This 4 from different places under voltage class route investment priority, as a result as shown in Figure 6 (note: priority refer to operation 110,35 or Degree of priority between 10 kilovoltage grade routes is reflected in column height in figure).
(b) power transformation capacity investment decision: 1) by voltage class: the power transformation capacity redundancy of the 14 ground utility grids in Hunan Province is pressed It is merged according to voltage class, obtains the amount of redundancy of its line length under tri- voltage class of 110kV, 35kV and 10kV, such as Shown in Fig. 7.2) by area: analyzing investment orientation emphasis of the regional power transformation capacity under different voltages grade, draw 4 areas and become Investment priority case of the capacitance under different voltages grade, obtain result as shown in Figure 7 (note: priority refer to operation 110, Degree of priority between 35 or 10 kilovoltage grade power transformation capacities is reflected in column height in figure).By taking the area of Xiang Tan as an example, As can be seen from FIG. 8, highest priority is invested (because its amount of redundancy is most in Xiang Tan area in " 35kV power transformation capacity " this index It is small), therefore, the subsequent input-output ratio in order to promote Xiang Tan area power grid should preferentially go into operation in power transformation capacity this aspect Related project is built with 35kV power transformation capacity.

Claims (6)

1. a kind of new distribution net benefit calculation analysis method, includes the following steps:
S1. the power distribution network input-output evaluation of urban index of meter and geographical space attribute is established;
S2. regional grid benefit is calculated;
S3. the benefit sensibility of regional electric grid investment is calculated and is analyzed;
S4. component voltage grade invests local distribution network and carries out aid decision;
S5. it is based on index redundancy, power distribution network is invested and carries out aid decision.
2. new distribution net benefit calculation analysis method according to claim 1, it is characterised in that built described in step S1 The power distribution network input-output evaluation of urban index of vertical meter and geographical space attribute, specifically using following index as input-occupancy-output analysis and output Index:
Input-occupancy-output analysis: 110 kilovolts of power transformation capacities, 35 kilovolts of power transformation capacities, capacity of distribution transform, 110 KV line length, 35 kilovolts of lines Road length and 10 or 20 KV line length;
Output index: the benefit output index of area power grid investment is with year electricity consumption, annual peak load, powering area and power customer Mouthful.
3. new distribution net benefit calculation analysis method according to claim 2, it is characterised in that described in step S2 pair Area power grid benefit is calculated, and is specially calculated using following steps:
A. area power grid benefit is calculated using following formula:
λj≥0,
θ is effectiveness and 0≤θ≤1 of a certain local distribution network investment relative to output in formula;ε is that non-Archimedes is infinite In a small amount;R is input-occupancy-output analysis, and s is input-occupancy-output analysis number;I is output index, and m is output index number;WithBecome for relaxation Amount,For the ineffective investment amount of input-occupancy-output analysis r,Output for output index i is in shortage;λjFor each department line to be evaluated Property combination coefficient;xrjIt is j-th of area to the input amount of input-occupancy-output analysis r;xrj0For the initial investment of jth area input-occupancy-output analysis r Amount, yijQuantum of output for j-th of area to output index i, yij0For the initial quantum of output of jth area output index r.
B. local distribution network input-output ratio calculated result K is calculated using following formula:
C. according to the local distribution network input-output ratio calculated result K of step B, classify according to following rule to area:
If somewhere K=1, show the power distribution network constant returns to scale of this area;
If somewhere K < 1 shows the power distribution network increasing return to scale of this area;
If somewhere K > 1 shows the power distribution network decreasing return to scale of this area.
4. new distribution net benefit calculation analysis method according to claim 3, it is characterised in that described in step S3 pair The benefit sensibility of area power grid investment is calculated and is analyzed, and is specially calculated and is analyzed using following steps:
A. each department tight constraint input-occupancy-output analysis is filtered out;The tight constraint input-occupancy-output analysis is the index that finger slack variable value is 0;
B. a certain tight constraint input-occupancy-output analysis of area power grid is successively increased by 5% and -5% one by one, and keeps other input-occupancy-output analysis It is constant for initial value, and recalculate effectiveness of the local distribution network investment relative to output;
C. the local distribution network that step b is obtained is obtained to put into relative to the effectiveness of output and becoming for tight constraint input-occupancy-output analysis Gesture, and compare effectiveness of the difference tight constraint input-occupancy-output analysis variation in areal to local distribution network investment relative to output It influences, and determines sensitivity factors;The sensitivity factors is defined as: if the small size variation of certain parameter can make regional distribution Net investment has greatly changed relative to the effectiveness of output, which is referred to as sensitivity factors;The definition slightly changed Are as follows: tight constraint input-occupancy-output analysis amplitude is changed to 5% from -5%;Biggish variation is defined as: investment is relative to the effective of output Degree θ value amplitude of variation is more than or equal to 5%.
5. new distribution net benefit calculation analysis method according to claim 4, it is characterised in that divide described in step S4 Voltage class invests local distribution network and carries out aid decision, specially carries out aid decision using following steps:
(1) be three classes by 110 kilovolts, 35 kilovolts and 10 kilovoltage grade classifications by the input-occupancy-output analysis of foundation: 110 kilovolts have: 110 kilovolts of power transformation capacities and 110 KV line length;35 kilovolts have: 35 kilovolts of power transformation capacities and 35 KV line length;10000 Fu You: capacity of distribution transform and 10 or 20 KV line length;
(2) the input-occupancy-output analysis redundancy S under the voltage class of each department three is calculatedr +, and by each department input-occupancy-output analysis redundancy It is cumulative by voltage class;
(3) according to the accumulation result of step (2), determine the investment orientation to voltage class: the higher voltage class of redundancy is thrown Money importance is lower, and the lower voltage class investment importance of redundancy is higher.
6. new distribution net benefit calculation analysis method according to claim 5, it is characterised in that base described in step S5 In index redundancy, power distribution network is invested and carries out aid decision, specially carries out aid decision using following steps:
1) track investment decision is calculated using following formula:
K is voltage class (k=110kV, 35kV, 10kV) in formula;For the sum of each department route redundancy under k voltage class;N is Regional number;For routing indicator redundancy under the k voltage class of jth area;
K is voltage class, value k=110kV, 35kV or 10kV in formula;For route redundancy under the k voltage class of somewhere it With;M is routing indicator number under somewhere k voltage class;For routing indicator redundancy;
2) power transformation capacity investment decision is calculated using following formula:
K is voltage class in formula and value is k=110kV, 35kV or 10kV;For each department power transformation capacity under k voltage class The sum of redundancy;N is regional number;For power transformation capacity redundancy under the k voltage class of jth area;
K is voltage class in formula and value is k=110kV, 35kV or 10kV;For power transformation capacity under the k voltage class of somewhere The sum of redundancy;L is power transformation capacity index number under somewhere k voltage class;For power transformation capacity index redundancy;
3) according to step 1) and step 2) be calculated as a result, determining the investment to route and power transformation capacity using following rule Direction: for track investment priority, the whole province's voltage classValue more it is big then to the voltage class track investment priority more It is small;To the track investment under Mr. Yu province each department, this area's voltage classIt is more big then to this area's voltage class route It is smaller to invest priority;Priority, the whole province's voltage class are invested for power transformationThe value the big then to throw the voltage class power transformation It is smaller to provide priority;To the power transformation investment under Mr. Yu province each department, this area's voltage classIt is more big then to this area's electricity Press grade power transformation investment priority smaller.
CN201910385020.8A 2019-05-09 2019-05-09 New distribution net benefit calculation analysis method Pending CN110310005A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910385020.8A CN110310005A (en) 2019-05-09 2019-05-09 New distribution net benefit calculation analysis method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910385020.8A CN110310005A (en) 2019-05-09 2019-05-09 New distribution net benefit calculation analysis method

Publications (1)

Publication Number Publication Date
CN110310005A true CN110310005A (en) 2019-10-08

Family

ID=68074689

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910385020.8A Pending CN110310005A (en) 2019-05-09 2019-05-09 New distribution net benefit calculation analysis method

Country Status (1)

Country Link
CN (1) CN110310005A (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102545210A (en) * 2011-12-29 2012-07-04 广东电网公司深圳供电局 Method and system for optimizing and regulating distribution network power supply reliability indexes
WO2015195205A1 (en) * 2014-05-16 2015-12-23 Transvoyant Llc Computer-implemented systems and methods of analyzing data in an ad-hoc network for predictive decision-making
CN107145969A (en) * 2017-04-13 2017-09-08 天津天大求实电力新技术股份有限公司 A kind of development zone distribution network planning method and system
CN109447310A (en) * 2018-09-06 2019-03-08 中国电力科学研究院有限公司 A kind of power distribution network analysis on the benefits of input and output method and device

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102545210A (en) * 2011-12-29 2012-07-04 广东电网公司深圳供电局 Method and system for optimizing and regulating distribution network power supply reliability indexes
WO2015195205A1 (en) * 2014-05-16 2015-12-23 Transvoyant Llc Computer-implemented systems and methods of analyzing data in an ad-hoc network for predictive decision-making
CN107145969A (en) * 2017-04-13 2017-09-08 天津天大求实电力新技术股份有限公司 A kind of development zone distribution network planning method and system
CN109447310A (en) * 2018-09-06 2019-03-08 中国电力科学研究院有限公司 A kind of power distribution network analysis on the benefits of input and output method and device

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
朱鹤: "农村电网投资效益综合评估方法的研究", 《中国优秀硕士学位论文全文数据库 经济与管理科学辑》 *

Similar Documents

Publication Publication Date Title
Zhou et al. A geographical information system based multi-criteria decision-making approach for location analysis and evaluation of urban photovoltaic charging station: A case study in Beijing
CN103942727B (en) A kind of line loss level evaluation method based on power grid feature difference
Zhang et al. Measuring and improving regional energy security: A methodological framework based on both quantitative and qualitative analysis
CN104008302B (en) Power distribution network reliability evaluation method based on combinational weighting and fuzzy scoring
CN104573947A (en) Comprehensive evaluation method for low-voltage transformer areas of regional intelligent distribution network
CN105184455A (en) High dimension visualized analysis method facing urban electric power data analysis
CN103761690A (en) Evaluation method based on voltage reactive power control system in grid system
CN108428045A (en) A kind of distribution network operation health state evaluation method
CN103679544A (en) Comprehensive assessment method for running of intelligent power distribution network
CN108364187A (en) A kind of power failure sensitive users based on power failure sensitivity characteristic determine method and system
CN107358332A (en) A kind of dispatching of power netwoks runs lean evaluation method
CN104809658A (en) Method for rapidly analyzing low-voltage distributing network area line loss
CN108876114A (en) Consider the power grid efficiency benefit appraisal procedure of new energy access
CN109377093A (en) Power distribution network project investment Benefit Evaluation Method
CN109492874A (en) A kind of decision-making technique of three levels power distribution network investment decision system
CN103778573A (en) Classification method for areas with power supplied by power distribution network
CN106600131A (en) Power grid investment analysis model evaluation method
CN106096799A (en) Minimum construction investment forecast system based on electric network performance index evaluation
CN107292489A (en) A kind of dispatching of power netwoks runs lean evaluation system
CN109066819A (en) A kind of idle work optimization method of the power distribution network based on case reasoning
Asadi et al. A global evaluation model applied to wind power plant site selection
CN108280599A (en) A kind of agriculture distribution input and output appraisal procedure based on public service value models
CN105335810A (en) Method for evaluating investment benefits of power distribution network individual projects
CN109034595A (en) One kind being suitable for 10kV and following power distribution network investment quantization analysis decision Method and kit for
CN110310005A (en) New distribution net benefit calculation analysis method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20191008

RJ01 Rejection of invention patent application after publication