CN106096849A - Distributed photovoltaic accesses electric network synthetic and evaluates system and method - Google Patents

Abstract

The invention discloses a kind of distributed photovoltaic and access electric network synthetic evaluation system and method, this system includes that DBM, reliability evaluation module, network loss evaluation module, utilization rate of equipment and installations evaluation module, quality of power supply evaluation module and distributed photovoltaic access electric network synthetic evaluation module；This system is capable of reliability index calculating, transmission loss index calculates, utilization rate of equipment and installations index calculates, power quality index computing function, and according to the weight calculation overall merit score of configuration, distributed photovoltaic is accessed the impact on electrical network and makes evaluation.Invention replaces loaded down with trivial details artificial Calculation Estimation process, it is possible to overall merit is made in the impact accessed distributed photovoltaic after electrical network, and design and decision-making for distributed photovoltaic provide help.

Description

Distributed photovoltaic accesses electric network synthetic and evaluates system and method

Technical field

The present invention relates to distributed photovoltaic technical field, be specifically related to a kind of distributed photovoltaic and access electric network synthetic evaluation system System and method.

Background technology

Current global economy high speed development, various countries are increasing to demand and the consumption of the energy, and supply falls short of demand for traditional energy, Energy crisis highlights day by day.The ecological ring such as atmospheric pollution, soil pollution and water pollution is brought while rapid economic development The deterioration in border.Therefore, developing renewable new forms of energy is instant task, is China or even world's sustainable development Only way.

Solar energy is as renewable green energy resource, inexhaustible, pollution-free, and low cost is acknowledged as 21 Century one of most important new forms of energy.Countries in the world are competitively employed huge R&D team and a huge sum of money and are sent out to study solar energy Power technology.Wherein, photovoltaic generation because the abundance of its battery material silicon, the advantage such as with low cost and favored.It Ultimate principle is the photovoltaic effect by solar cell surface, it is achieved by the conversion of luminous energy to electric energy.The most every The occasion needing power supply may be by photovoltaic power generation technology, arrives greatly space ship, MW class surface power station, little to various electronics Toy, daily household electrical appliance, photovoltaic power generation technology is ubiquitous.

In recent years, along with promoting comprehensively of national energy strategical reajustment, distributed photovoltaic power generation is vigorously developed, and photovoltaic connects Enter project gradually to increase.Along with photovoltaic generation permeability improves constantly, the planning of power distribution network, security of system stable operation and relay The aspects such as protection all will be affected by certain.The output of distributed photovoltaic power generation is affected by natural conditions, has very Strong randomness and undulatory property, the evaluation methodology of conventional electrical distribution net is the most applicable, needs to join containing distributed photovoltaic power generation Electric network model and algorithm re-start research.

And current, access the evaluation methodology of power distribution network for distributed photovoltaic power generation, be often confined to one-sided index Computational analysis, not yet has comprehensive value model and the instrument of maturation.In Practical Project, evaluation procedure often expend time length, The index considered is comprehensive not, evaluation result is not accurate enough.

Summary of the invention

It is an object of the invention to provide a kind of distributed photovoltaic and access electric network synthetic evaluation system and method.

The technical scheme realizing the object of the invention is:

A kind of distributed photovoltaic accesses electric network synthetic and evaluates system, including:

Reliability evaluation module, is used for determining system average frequency of power cut index, system average power off time index, average Power supply availability index and system lack delivery index, and according to the every optimal index numerical computations each index score set, Each index score is added and obtains reliability weight score；

Network loss evaluation module, is used for determining comprehensive line loss per unit index and matching net wire loss rate index, according to the comprehensive line set Loss rate optimal index and compare matching net wire loss rate optimal index and calculate comprehensive line loss per unit index score and matching net wire loss rate index and obtain Point, two index scores are added and obtain network loss weighted score；

Utilization rate of equipment and installations evaluation module, is used for determining circuit Rate of average load index and main transformer load imbalance degree index, Circuit Rate of average load is calculated according to the circuit Rate of average load optimal index set and main transformer load imbalance degree optimal index Index score and main transformer load imbalance degree index score, two index scores are added and obtain utilization rate of equipment and installations weighted score；

Quality of power supply evaluation module, is used for determining voltage deviation index and total harmonic distortion factor index, according to the electricity set Pressure deviation optimal index and total harmonic distortion factor optimal index numerical computations voltage deviation index score and total harmonic distortion factor refer to Mark score, two index scores are added and obtain quality of power supply weighted score；

Distributed photovoltaic accesses electric network synthetic evaluation module, is used for according to reliability weight score, network loss weighted score, sets Standby utilization rate weighted score, quality of power supply weighted score and respective weight coefficient, determine overall merit score；

DBM, is used for storing power distribution network initial data, intermediate calculation data and overall merit score.

A kind of distributed photovoltaic accesses electric network synthetic evaluation methodology, comprises the following steps:

Determine system average frequency of power cut index, system average power off time index, average power supply availability index and be System lacks delivery index, and according to the every optimal index numerical computations each index score set, each index score is added and obtains Reliability weight score；

Determine comprehensive line loss per unit index and matching net wire loss rate index, according to set comprehensive line loss per unit optimal index and compare Matching net wire loss rate optimal index calculates comprehensive line loss per unit index score and matching net wire loss rate index score, and two index scores are added Obtain network loss weighted score；

Determine circuit Rate of average load index and main transformer load imbalance degree index, according to the circuit Rate of average load set Optimal index and main transformer load imbalance degree optimal index calculate circuit Rate of average load index score and main transformer load imbalance Degree index score, two index scores are added and obtain utilization rate of equipment and installations weighted score；

Determine voltage deviation index and total harmonic distortion factor index, according to the voltage deviation optimal index set and total harmonic wave Aberration rate optimal index numerical computations voltage deviation index score and total harmonic distortion factor index score, two index scores are added Obtain quality of power supply weighted score；

According to reliability weight score, network loss weighted score, utilization rate of equipment and installations weighted score, quality of power supply weighted score with And respective weight coefficient, determine overall merit score.

Compared with prior art, the method have the advantages that

(1) access the evaluation methodology of electrical network currently for distributed photovoltaic to be often confined to the calculating of one-sided index and divide Analysis, the present invention can be calculated reliability index, transmission loss index, utilization rate of equipment and installations index, power quality index, from multi-angle Index start with, overall merit is made in the impact on electrical network；

(2) existing evaluation methodology generally requires artificial calculating, there is certain calculating error, simultaneous with the master evaluated The property seen, evaluation procedure expend time length, consideration index not comprehensively, evaluation result not accurate enough；First the present invention calculates power Recuperation divides and overall merit score, according to weighted score and overall merit score, distributed photovoltaic is accessed the impact on electrical network and does Going out to evaluate, result is more comprehensively, accurately；

(3) during existing distributed photovoltaic accesses electric network synthetic evaluation methodology, weight coefficient is fixing, but practical situation The most more complicated, in the present invention weight coefficient W₁、W₂、W₃And W₄Requirement can be stressed for different evaluations to configure, more Tool motility.

Accompanying drawing explanation

Fig. 1 is the system block diagram of the distributed photovoltaic access electric network synthetic evaluation system of the present invention.

Detailed description of the invention

Below in conjunction with the accompanying drawings, technical scheme is specifically described.

As it is shown in figure 1, a kind of distributed photovoltaic of the present invention accesses electric network synthetic evaluates system, this system includes data base Module, reliability evaluation module, network loss evaluation module, utilization rate of equipment and installations evaluation module, quality of power supply evaluation module and distributed Photovoltaic accesses electric network synthetic evaluation module；

Reliability evaluation module, is used for determining system average frequency of power cut index, system average power off time index, average Power supply availability index and system lack delivery index, according to the every optimal index numerical computations each index score set, respectively Index score is added and obtains reliability weight score；

Network loss evaluation module, is used for determining comprehensive line loss per unit index and matching net wire loss rate index, according to the comprehensive line set Loss rate optimal index and compare matching net wire loss rate optimal index and calculate comprehensive line loss per unit index score and matching net wire loss rate index and obtain Point, two index scores are added and obtain network loss weighted score；

Utilization rate of equipment and installations evaluation module, is used for determining circuit Rate of average load index and main transformer load imbalance degree index, Circuit Rate of average load is calculated according to the circuit Rate of average load optimal index set and main transformer load imbalance degree optimal index Index score and main transformer load imbalance degree index score, two index scores are added and obtain utilization rate of equipment and installations weighted score；

Quality of power supply evaluation module, is used for determining voltage deviation index and total harmonic distortion factor index, according to the electricity set Pressure deviation optimal index and total harmonic distortion factor optimal index numerical computations voltage deviation index score and total harmonic distortion factor refer to Mark score, two index scores are added and obtain quality of power supply weighted score；

Distributed photovoltaic accesses electric network synthetic evaluation module, is used for according to reliability weight score, network loss weighted score, sets Standby utilization rate weighted score, quality of power supply weighted score and respective weight coefficient, determine overall merit score；

DBM, is used for storing power distribution network initial data, weighted score and overall merit score.

Power distribution network initial data is imported DBM by user, can be entered the initial data imported by DBM Row is checked, is revised, and last calculated weighted score and overall merit score are stored in DBM.

Further, described system average frequency of power cut index S AIFI, system average power off time index S AIDI, average Power supply availability index ASAI and system are lacked delivery index ENS and are determined by following formula respectively:

$SAIFI=\frac{{\mathrm{\Σ}}_{i=1}^n{N}_i}{N}$

$SAIDI=\frac{{\mathrm{\Σ}}_{i=1}^n(T_i\×N_i)}{N}$

$ASAI=\frac{8760\×N-{\mathrm{\Σ}}_{i=1}^n(T_i\×N_i)}{8760\×N}$

$ENS=\frac{W_{loss}}{W_{all}}\×100\%$

Wherein, n is frequency of power cut, N_iFor customer interrupted number, T in each power outage_iFor each customer outage hours, N is Total number of users, W_lossFor scarce delivery, W_allFor total delivery；

System average frequency of power cut index must be divided into:

25-α|SAIFI-SAIFI_well|

Wherein α is system average frequency of power cut index score coefficient, SAIFI_wellRefer to for the average frequency of power cut of optimal system Mark；

System average power off time index must be divided into:

25-b|SAIDI-SAIDI_well|

Wherein b is system average power off time index score coefficient, SAIDI_wellRefer to for the average power off time of optimal system Mark；

Average power supply availability index must be divided into:

25-c|ASAI-ASAI_well|

Wherein c is average power supply availability index score coefficient, ASAI_wellAveragely power for optimum availability index；

System lacks delivery index and must be divided into:

25-d|ENS-ENS_well|

Wherein d is that system lacks delivery index score coefficient, ENS_wellDelivery index is lacked for optimal system；

Four scores being added and obtain reliability weight score, full marks are 100 points.

Further, described comprehensive line loss per unit index Δ P% and matching net wire loss rate index Δ P ' % is respectively as follows:

$\mathrm{\Δ}P\%=\frac{P_{\sup ply}-P_{sell}}{P_{\sup ply}}\×100\%$

${\mathrm{\ΔP}}^{\′}\%=\frac{{P^{\′}}_{\sup ply}-{P^{\′}}_{sell}}{{P^{\′}}_{\sup ply}}\×100\%$

Wherein, P_supplyFor delivery, P_sellFor electricity sales amount, P '_supplyFor power distribution network delivery, P '_sellFor power distribution network sale of electricity Amount；

Comprehensive line loss per unit index must be divided into:

50-e | Δ P%-Δ P%_well|

Wherein e is comprehensive line loss per unit index score coefficient, Δ P%_wellFor optimal synthesis line loss per unit index；

Matching net wire loss rate index must be divided into:

50-f | Δ P ' %-Δ P ' %_well|

Wherein e is matching net wire loss rate index score coefficient, Δ P%_wellFor optimum matching net wire loss rate index；

Above-mentioned two score being added and obtain network loss weighted score, full marks are 100 points.

Further, described circuit Rate of average load index and main transformer load imbalance degree index are respectively as follows:

${\mathrm{\η}}_{line}=\frac{{\mathrm{\Σ}}_{j=1}^l{\mathrm{\η}}_j}{l}$

${\mathrm{\η}}_T=\sqrt[2]{\frac{{\mathrm{\Σ}}_{k=1}^m{({\mathrm{\η}}_k-{\mathrm{\η}}_{average})}^2}{m}}$

Wherein, η_jFor each electric pressure single line load factor, l is each electric pressure circuit total number, η_kFor each voltage etc. Level separate unit main transformer annual load factor, η_averageFor the meansigma methods of each electric pressure main transformer annual load factor, m is each voltage etc. Level main transformer number of units；

In like manner, the method using These parameters score, circuit Rate of average load index and main transformer load imbalance degree are referred to Mark compares with corresponding optimal index numerical value, obtains circuit Rate of average load index score and main transformer load imbalance degree refers to Two scores are added and obtain utilization rate of equipment and installations weighted score by mark score, and full marks are 100 points.

The number that described quality of power supply evaluation module calls voltage deviation from data base, total harmonic distortion factor is required in calculating According to, calculating voltage deviation index Δ U and total harmonic distortion factor index THD:

$\mathrm{\Δ}U=\frac{U-U_N}{U_N}\×100\%$

$THD=\sqrt{{\mathrm{\Σ}}_{n=2}^H{\left(\frac{G_n}{G_1}\right)}^2}$

Wherein, U is virtual voltage, U_NFor nominal voltage of a system, G₁For fundametal compoment virtual value, G_nFor all harmonic components Virtual value, n is harmonic component exponent number, and H is specific exponent number, and its value provides (GB17625 in each standard relevant with limit value Series).

In like manner, the method using These parameters score, by voltage deviation index and total harmonic distortion factor index with corresponding Optimal index numerical value compares, and obtains voltage deviation index score and total harmonic distortion factor index score, and full marks are 50 points, will Two scores are added and obtain quality of power supply weighted score, and full marks are 100 points.

Further, described distributed photovoltaic accesses electric network synthetic evaluation module according to each weighted score and each weight coefficient Calculating overall merit score:

F=W₁×s₁+W₂×s₂+W₃×s₃+W₄×s₄

Wherein, F is overall merit score, W₁For reliability weight coefficient, s₁For reliability weight score, W₂Weigh for network loss Weight coefficient, s₂For network loss weighted score, W₃For utilization rate of equipment and installations weight coefficient, s₃For utilization rate of equipment and installations weighted score, W₄For electric energy Quality weight coefficient, s₄For quality of power supply weighted score, four weight coefficient sums are 1.

Overall merit score full marks are 100 points, and score is the highest, and evaluation result is the best.Again with default weighted score and combine Close evaluation score interval to compare, call default evaluation suggestion library, export corresponding evaluation conclusion and suggestion.

The present invention also provides for a kind of distributed photovoltaic and accesses electric network synthetic evaluation methodology, comprises the following steps:

Determine system average frequency of power cut index, system average power off time index, average power supply availability index and be System lacks delivery index, by every optimal index numeric ratio of above-mentioned indices and setting relatively, determines each index score, respectively refers to Mark score is added and obtains reliability weight score；

Determine comprehensive line loss per unit index and matching net wire loss rate index, according to set comprehensive line loss per unit optimal index and compare Matching net wire loss rate optimal index calculates comprehensive line loss per unit index score and matching net wire loss rate index score, and two index scores are added Obtain network loss weighted score；

Determine circuit Rate of average load index and main transformer load imbalance degree index, according to the circuit Rate of average load set Optimal index and main transformer load imbalance degree optimal index calculate circuit Rate of average load index score and main transformer load imbalance Degree index score, two index scores are added and obtain utilization rate of equipment and installations weighted score；

Determine voltage deviation index and total harmonic distortion factor index, according to the voltage deviation optimal index set and total harmonic wave Aberration rate optimal index numerical computations voltage deviation index score and total harmonic distortion factor index score, two index scores are added Obtain quality of power supply weighted score；

According to reliability weight score, network loss weighted score, utilization rate of equipment and installations weighted score, quality of power supply weighted score with And respective weight coefficient, determine overall merit score.

Wherein reliability weight score, network loss weighted score, utilization rate of equipment and installations weighted score, quality of power supply weighted score with And the computational methods of overall merit score are identical with the computational methods in above-mentioned evaluation system.

Below in conjunction with specific embodiment, the present invention will be further described.

Embodiment

The present embodiment accesses the assay of distribution network engineering for one, somewhere distributed photovoltaic power generation project.

First power distribution network initial data is imported DBM by user, and each module gathers the most required initial data. Reliability evaluation module calculates system average frequency of power cut index be 1.0211 (times/year/family), the average power off time of system Index is 6.2968 (hour/year/families), and average power supply availability index is 99.9268 (%), and system lacks delivery index and is 1.43799 (%), are converted into reliability weight and must be divided into 86.52 points.Network loss evaluation module calculates comprehensive line loss per unit index Being 9.14 (%), matching net wire loss rate index is 6.52 (%), and being converted into network loss weighted score is 95.63 points.Utilization rate of equipment and installations is commented It is 65.5 (%) that valency module calculates 500kV circuit Rate of average load, and 220kV circuit Rate of average load is 63.1 (%), 110kV circuit Rate of average load is 67.2 (%), and 35kV circuit Rate of average load is 70.5 (%), and 500kV circuit main transformer loads Unbalanced degree is 0.75629 (%), and 220kV circuit main transformer load imbalance degree is 1.0386 (%), and 110kV circuit main transformer loads Unbalanced degree is 1.0747 (%), and 35kV circuit main transformer load imbalance degree is 0.8823 (%), is converted into utilization rate of equipment and installations power Recuperation is divided into 85.51 points.It is 2.7 (%) that quality of power supply evaluation module calculates voltage deviation, and total harmonic distortion factor is 1.347 (%), being converted into quality of power supply weighted score is 92.08 points.

In the present embodiment is evaluated, emphasis considers the quality of power supply, the most secondary consideration of utilization rate of equipment and installations.Therefore, by weight system Number is set to W₁=0.25, W₂=0.25, W₃=0.15, W₄=0.35, distributed photovoltaic accesses electric network synthetic evaluation module and calculates Show that overall merit must be divided into 90.592 points.

Distributed photovoltaic access electric network synthetic evaluation module is according to weighted score and overall merit score, with default weight Score and overall merit score interval compare, and call default evaluation suggestion library, analyze and draw the distributed of the present embodiment Photovoltaic access effect is good, and reliability index, transmission loss index, utilization rate of equipment and installations index, power quality index are satisfied by " state's household electrical appliances Net company photovoltaic plant accesses electric power network technique and specify " in index request, be given according to default evaluation suggestion library and advise accordingly Report.

Claims (10)

1. a distributed photovoltaic accesses electric network synthetic and evaluates system, it is characterised in that including:

Reliability evaluation module, is used for determining system average frequency of power cut index, system average power off time index, averagely powering Availability index and system lack delivery index, and according to the every optimal index numerical computations each index score set, respectively refer to Mark score is added and obtains reliability weight score；

Network loss evaluation module, is used for determining comprehensive line loss per unit index and matching net wire loss rate index, according to the comprehensive line loss per unit set Optimal index and compare matching net wire loss rate optimal index and calculate comprehensive line loss per unit index score and matching net wire loss rate index score, two Item index score is added and obtains network loss weighted score；

Utilization rate of equipment and installations evaluation module, is used for determining circuit Rate of average load index and main transformer load imbalance degree index, according to The circuit Rate of average load optimal index set and main transformer load imbalance degree optimal index calculate circuit Rate of average load index Score and main transformer load imbalance degree index score, two index scores are added and obtain utilization rate of equipment and installations weighted score；

Quality of power supply evaluation module, is used for determining voltage deviation index and total harmonic distortion factor index, inclined according to the voltage set Difference optimal index and total harmonic distortion factor optimal index numerical computations voltage deviation index score and total harmonic distortion factor index obtain Point, two index scores are added and obtain quality of power supply weighted score；

Distributed photovoltaic accesses electric network synthetic evaluation module, for according to reliability weight score, network loss weighted score, equipment profit With rate weighted score, quality of power supply weighted score and respective weight coefficient, determine overall merit score；

DBM, is used for storing power distribution network initial data, weighted score and overall merit score.

Distributed photovoltaic the most according to claim 1 accesses electric network synthetic and evaluates system, it is characterised in that described reliability System average frequency of power cut index S AIFI in evaluation module, system average power off time index S AIDI, average power supply can use Degree index ASAI and system are lacked delivery index ENS and are determined by following formula respectively:

$SAIFI=\frac{{\mathrm{\Σ}}_{i=1}^n{N}_i}{N}$

$SAIDI=\frac{{\mathrm{\Σ}}_{i=1}^n(T_i\×N_i)}{N}$

$ASAI=\frac{8760\×N-{\mathrm{\Σ}}_{i=1}^n(T_i\×N_i)}{8760\×N}$

$ENS=\frac{W_{loss}}{W_{all}}\×100\%$

Wherein, n is frequency of power cut, N_iFor customer interrupted number, T in each power outage_iFor each customer outage hours, N is user Sum, W_lossFor scarce delivery, W_allFor total delivery；

Described system average frequency of power cut index must be divided into:

25-a|SAIFI-SAIFI_well|

Wherein a is system average frequency of power cut index score coefficient, SAIFI_wellFor optimal system average frequency of power cut index；

System average power off time index must be divided into:

25-b|SAIDI-SAIDI_well|

Wherein b is system average power off time index score coefficient, SAIDI_wellFor optimal system average power off time index；

Average power supply availability index must be divided into:

25-c|ASAI-ASAI_well|

Wherein c is average power supply availability index score coefficient, ASAI_wellAveragely power for optimum availability index；

System lacks delivery index and must be divided into:

25-d|ENS-ENS_well|

Wherein d is that system lacks delivery index score coefficient, ENS_wellDelivery index is lacked for optimal system；

Four scores being added and obtain reliability weight score, full marks are 100 points.

Distributed photovoltaic the most according to claim 1 accesses electric network synthetic and evaluates system, it is characterised in that described network loss is commented Comprehensive line loss per unit index Δ P% and matching net wire loss rate index Δ P ' % in valency module are respectively as follows:

$\mathrm{\Δ}P\%=\frac{P_{\sup ply}-P_{sell}}{P_{\sup ply}}\×100\%$

${\mathrm{\ΔP}}^{\′}\%=\frac{{P^{\′}}_{\sup ply}-{P^{\′}}_{sell}}{{P^{\′}}_{\sup ply}}\×100\%$

Wherein, P_supplyFor delivery, P_sellFor electricity sales amount, P '_supplyFor power distribution network delivery, P '_sellFor power distribution network electricity sales amount；

Comprehensive line loss per unit index must be divided into:

50-e | Δ P%-Δ P%_well|

Wherein e is comprehensive line loss per unit index score coefficient, Δ P%_wellFor optimal synthesis line loss per unit index；

Matching net wire loss rate index must be divided into:

50-f | Δ P ' %-Δ P ' %_well|

Wherein e is matching net wire loss rate index score coefficient, Δ P%_wellFor optimum matching net wire loss rate index；

Above-mentioned two score being added and obtain network loss weighted score, full marks are 100 points.

Distributed photovoltaic the most according to claim 1 accesses electric network synthetic and evaluates system, it is characterised in that described equipment profit It is respectively as follows: by the circuit Rate of average load index in rate evaluation module and main transformer load imbalance degree index

${\mathrm{\η}}_{line}=\frac{{\mathrm{\Σ}}_{j=1}^l{\mathrm{\η}}_j}{l}$

${\mathrm{\η}}_T=\sqrt[2]{\frac{{\mathrm{\Σ}}_{k=1}^m{({\mathrm{\η}}_k-{\mathrm{\η}}_{average})}^2}{m}}$

Wherein, η_jFor each electric pressure single line load factor, l is each electric pressure circuit total number, η_kFor each electric pressure list Platform main transformer annual load factor, η_averageFor the meansigma methods of each electric pressure main transformer annual load factor, m is each electric pressure master Become number of units；

Circuit Rate of average load index and main transformer load imbalance degree index are compared with corresponding optimal index numerical value, To circuit Rate of average load index score and main transformer load imbalance degree index score, two scores are added and obtain equipment utilization Rate weighted score, full marks are 100 points；

Voltage deviation index Δ U and total harmonic distortion factor index THD in described quality of power supply evaluation module are respectively as follows:

$\mathrm{\Δ}U=\frac{U-U_N}{U_N}\×100\%$

$THD=\sqrt{{\mathrm{\Σ}}_{n=2}^H{\left(\frac{G_n}{G_1}\right)}^2}$

Wherein, U is virtual voltage, U_NFor nominal voltage of a system, G₁For fundametal compoment virtual value, G_nEffective for all harmonic components Value, n is harmonic component exponent number, and H is specific exponent number；

Voltage deviation index and total harmonic distortion factor index are compared with corresponding optimal index numerical value, obtains voltage deviation Two scores are added and obtain quality of power supply weighted score by index score and total harmonic distortion factor index score, and full marks are 100 Point.

Distributed photovoltaic the most according to claim 1 accesses electric network synthetic and evaluates system, it is characterised in that described distributed Photovoltaic accesses electric network synthetic evaluation module according to each weighted score and each weight coefficient calculating overall merit score:

F=W₁×s₁+W₂×s₂+W₃×s₃+W₄×s₄

Wherein, F is overall merit score, W₁For reliability weight coefficient, s₁For reliability weight score, W₂For network loss weight system Number, s₂For network loss weighted score, W₃For utilization rate of equipment and installations weight coefficient, s₃For utilization rate of equipment and installations weighted score, W₄For the quality of power supply Weight coefficient, s₄For quality of power supply weighted score, four weight coefficient sums are 1.

6. a distributed photovoltaic accesses electric network synthetic evaluation methodology, it is characterised in that comprise the following steps:

Determine that system average frequency of power cut index, system average power off time index, average power supply availability index and system lack Delivery index, and according to the every optimal index numerical computations each index score set, each index score is added and obtains reliably Property weighted score；

Determine comprehensive line loss per unit index and matching net wire loss rate index, according to set comprehensive line loss per unit optimal index and compare distribution Line loss per unit optimal index calculates comprehensive line loss per unit index score and matching net wire loss rate index score, and two index scores are added and obtain Network loss weighted score；

Determine circuit Rate of average load index and main transformer load imbalance degree index, optimum according to the circuit Rate of average load set Index and main transformer load imbalance degree optimal index calculate circuit Rate of average load index score and main transformer load imbalance degree refers to Mark score, two index scores are added and obtain utilization rate of equipment and installations weighted score；

Determine voltage deviation index and total harmonic distortion factor index, according to the voltage deviation optimal index set and total harmonic distortion Rate optimal index numerical computations voltage deviation index score and total harmonic distortion factor index score, two index scores are added and obtain Quality of power supply weighted score；

According to reliability weight score, network loss weighted score, utilization rate of equipment and installations weighted score, quality of power supply weighted score and each From weight coefficient, determine overall merit score.

Distributed photovoltaic the most according to claim 6 accesses electric network synthetic evaluation methodology, it is characterised in that described system is put down All frequency of power cut index S AIFI, system average power off time index S AIDI, average power supply availability index ASAI and systems lack Delivery index ENS is determined by following formula respectively:

$SAIFI=\frac{{\mathrm{\Σ}}_{i=1}^n{N}_i}{N}$

$SAIDI=\frac{{\mathrm{\Σ}}_{i=1}^n(T_i\×N_i)}{N}$

$ASAI=\frac{8760\×N-{\mathrm{\Σ}}_{i=1}^n(T_i\×N_i)}{8760\×N}$

$ENS=\frac{W_{loss}}{W_{all}}\×100\%$

Wherein, n is frequency of power cut, N_iFor customer interrupted number, T in each power outage_iFor each customer outage hours, N is user Sum, W_lossFor scarce delivery, W_allFor total delivery；

System average frequency of power cut index must be divided into:

25-a|SAIFI-SAIFI_well|

Wherein a is system average frequency of power cut index score coefficient, SAIFI_wellFor optimal system average frequency of power cut index；

System average power off time index must be divided into:

25-b|SAIDI-SAIDI_well|

Wherein b is system average power off time index score coefficient, SAIDI_wellFor optimal system average power off time index；

Average power supply availability index must be divided into:

25-c|ASAI-ASAI_well|

Wherein c is average power supply availability index score coefficient, ASAI_wellAveragely power for optimum availability index；

System lacks delivery index and must be divided into:

25-d|ENS-ENS_well|

Wherein d is that system lacks delivery index score coefficient, ENS_wellDelivery index is lacked for optimal system；

Four scores being added and obtain reliability weight score, full marks are 100 points.

Distributed photovoltaic the most according to claim 6 accesses electric network synthetic evaluation methodology, it is characterised in that described network loss is commented Comprehensive line loss per unit index Δ P% and matching net wire loss rate index Δ P ' % in valency module are respectively as follows:

$\mathrm{\Δ}P\%=\frac{P_{\sup ply}-P_{sell}}{P_{\sup ply}}\×100\%$

${\mathrm{\ΔP}}^{\′}\%=\frac{{P^{\′}}_{\sup ply}-{P^{\′}}_{sell}}{{P^{\′}}_{\sup ply}}\×100\%$

Wherein, P_supplyFor delivery, P_sellFor electricity sales amount, P '_supplyFor power distribution network delivery, P '_sellFor power distribution network electricity sales amount；

Comprehensive line loss per unit index must be divided into:

50-e | Δ P%-Δ P%_well|

Wherein e is comprehensive line loss per unit index score coefficient, Δ P%_wellFor optimal synthesis line loss per unit index；

Matching net wire loss rate index must be divided into:

50-f | Δ P ' %-Δ P ' %_well|

Wherein e is matching net wire loss rate index score coefficient, Δ P%_wellFor optimum matching net wire loss rate index；

Above-mentioned two score being added and obtain network loss weighted score, full marks are 100 points.

Distributed photovoltaic the most according to claim 6 accesses electric network synthetic evaluation methodology, it is characterised in that circuit is the most negative Load rate index and main transformer load imbalance degree index are respectively as follows:

${\mathrm{\η}}_{line}=\frac{{\mathrm{\Σ}}_{j=1}^l{\mathrm{\η}}_j}{l}$

${\mathrm{\η}}_T=\sqrt[2]{\frac{{\mathrm{\Σ}}_{k=1}^m{({\mathrm{\η}}_k-{\mathrm{\η}}_{average})}^2}{m}}$

Wherein, η_jFor each electric pressure single line load factor, l is each electric pressure circuit total number, η_kFor each electric pressure list Platform main transformer annual load factor, η_averageFor the meansigma methods of each electric pressure main transformer annual load factor, m is each electric pressure master Become number of units；

Circuit Rate of average load index and main transformer load imbalance degree index are compared with corresponding optimal index numerical value, To circuit Rate of average load index score and main transformer load imbalance degree index score, two scores are added and obtain equipment utilization Rate weighted score, full marks are 100 points；

Voltage deviation index and total harmonic distortion factor index in described quality of power supply evaluation module are respectively as follows:

$\mathrm{\Δ}U=\frac{U-U_N}{U_N}\×100\%$

$THD=\sqrt{{\mathrm{\Σ}}_{n=2}^H{\left(\frac{G_n}{G_1}\right)}^2}$

Wherein, Δ U is voltage deviation, and U is virtual voltage, U_NFor nominal voltage of a system, G₁For fundametal compoment virtual value, G_nFor institute Having harmonic component virtual value, n is harmonic component exponent number, and H is specific exponent number；

Voltage deviation index and total harmonic distortion factor index are compared with corresponding optimal index numerical value, obtains voltage deviation Two scores are added and obtain quality of power supply weighted score by index score and total harmonic distortion factor index score, and full marks are 100 Point.

Distributed photovoltaic the most according to claim 6 accesses electric network synthetic evaluation methodology, it is characterised in that described distribution Formula photovoltaic accesses electric network synthetic evaluation module according to each weighted score and each weight coefficient calculating overall merit score:

F=W₁×s₁+W₂×s₂+W₃×s₃+W₄×s₄

Wherein, F is overall merit score, W₁For reliability weight coefficient, s₁For reliability weight score, W₂For network loss weight system Number, s₂For network loss weighted score, W₃For utilization rate of equipment and installations weight coefficient, s₃For utilization rate of equipment and installations weighted score, W₄For the quality of power supply Weight coefficient, s₄For quality of power supply weighted score, four weight coefficient sums are 1.