CN108376996B - Practical power distribution network distributed photovoltaic receiving capacity estimation method - Google Patents

Practical power distribution network distributed photovoltaic receiving capacity estimation method Download PDF

Info

Publication number
CN108376996B
CN108376996B CN201810223138.6A CN201810223138A CN108376996B CN 108376996 B CN108376996 B CN 108376996B CN 201810223138 A CN201810223138 A CN 201810223138A CN 108376996 B CN108376996 B CN 108376996B
Authority
CN
China
Prior art keywords
capacity
distributed
voltage
distributed photovoltaic
photovoltaics
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.)
Active
Application number
CN201810223138.6A
Other languages
Chinese (zh)
Other versions
CN108376996A (en
Inventor
熊宁
朱文广
王洁
钟士元
陈幸
谢鹏
李玉婷
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
Economic and Technological Research Institute of State Grid Jiangxi Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
Economic and Technological Research Institute of State Grid Jiangxi 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, Economic and Technological Research Institute of State Grid Jiangxi Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN201810223138.6A priority Critical patent/CN108376996B/en
Publication of CN108376996A publication Critical patent/CN108376996A/en
Application granted granted Critical
Publication of CN108376996B publication Critical patent/CN108376996B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • H02J3/383—
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/50—Photovoltaic [PV] energy
    • Y02E10/56—Power conversion systems, e.g. maximum power point trackers

Landscapes

  • Supply And Distribution Of Alternating Current (AREA)

Abstract

一种实用的配电网分布式光伏接纳能力估算方法，将分布式光伏接纳能力分解成本地对分布式光伏的消纳能力和电网对分布式光伏的外送能力；估算出低压配变、中压线路和高压变电站基本单元设备对分布式光伏的接纳能力，并在满足上级供电设备容量约束条件下分电压等级进行累加，得出地区整体及各电压等级分布式光伏接纳能力；所述方法包括：（1）本地对分布式光伏消纳能力的计算；（2）电网对分布式光伏外送能力的计算；（3）基本单元设备对分布式光伏的接纳能力计算；（4）区域分布式光伏消纳能力计算；（5）分层级描述区域分布式光伏接纳能力。本发明方法无需大量的数据支撑，即可估算出地区的整体接纳能力，并同步给出各电压等级的接纳规模。

Figure 201810223138

A practical method for estimating the distributed photovoltaic receiving capacity of the distribution network, which decomposes the distributed photovoltaic receiving capacity into the local absorption capacity for distributed photovoltaics and the grid's external transmission capacity for distributed photovoltaics; The acceptance capacity of the basic unit equipment of the voltage line and the high-voltage substation for distributed photovoltaics, and the voltage level is accumulated under the condition that the capacity constraints of the superior power supply equipment are satisfied, and the distributed photovoltaic acceptance capacity of the region as a whole and each voltage level is obtained; the method includes: : (1) local calculation of distributed photovoltaic capacity; (2) power grid calculation of distributed photovoltaic output capacity; (3) calculation of distributed photovoltaic capacity of basic unit equipment; (4) regional distribution Calculation of photovoltaic capacity; (5) hierarchical description of regional distributed photovoltaic capacity. The method of the invention can estimate the overall receiving capacity of a region without a large amount of data support, and simultaneously give the receiving scale of each voltage level.

Figure 201810223138

Description

Practical power distribution network distributed photovoltaic receiving capacity estimation method
Technical Field
The invention relates to a practical power distribution network distributed photovoltaic receiving capacity estimation method, and belongs to the technical field of electrical engineering planning.
Background
Along with the implementation of novel town construction and national photovoltaic poverty-relief policies, large-scale distributed photovoltaic is connected into a power distribution network. Compared with the traditional centralized linear power generation, the distributed photovoltaic output has obvious fluctuation and intermittency, and is considered as a power supply which only provides electric quantity value and does not provide capacity value. Distributed photovoltaic large-scale access influences the voltage distribution, the power flow and the power of a power distribution network, and the factors become constraint conditions for restricting access capacity. Therefore, there is a need to evaluate the capability of distributed photovoltaics that can be accepted by a power distribution grid to avoid the disordered development of distributed photovoltaics.
Currently, new energy admission capacity is mainly evaluated by whether the system peak capacity can keep up with the change of the net load. For example, technical literature ("Beijing grid wind power development and absorption capacity") published in Power construction (2015, volume 36, No. 8, pages 49-54); technical literature published in the economics of hydroenergy (vol.16, p.12, 56-57 of 2016) ("research on methods for calculating and evaluating the capacity of electric power grids to absorb new energy"). However, the capability of the distribution network to accommodate the distributed photovoltaic is mainly affected by the node voltage, the exchange power with the previous stage, the short-circuit current, the branch current-carrying capacity, the setting value of the protective equipment and other factors, and is not related to the peak shaving of the unit. Aiming at a power distribution network, the distributed photovoltaic receiving capacity is mainly solved by a simulation calculation or optimization method. Technical literature ("simulation analysis of influence factors of acceptance of distributed wind power generation") as published in Shenyang institute of engineering (Nature's republic of sciences), vol 13, pp 1-5, 2017; technical literature published on electrical measurement and instrumentation (vol 53, pp 21, 65-70, 2016) ("best location and capacity studies for distributed power access to the distribution grid"); a technical document published in IEEE Transactions on Power Systems (2010, volume 25, page 1, 296-304) ("Network distributed generation capacity analysis using OPF with voltage step constraints"). However, distributed photovoltaic is mainly grid-connected from medium and low voltage, access points are many, grid frames are complex, parameters are incomplete, and a method for calculating or optimizing the receiving capacity through building a model does not have practical operability. In addition, the above documents mostly focus on the calculation of the receiving capacity at a certain voltage level, and cannot give the receiving capacity of the entire area and each voltage level. In summary, there is no effective method for evaluating the acceptance of distributed photovoltaic by a power distribution grid. The invention provides a practical distributed photovoltaic receiving capacity estimation method.
Disclosure of Invention
The invention aims to provide a practical method for estimating the distributed photovoltaic receptivity of a power distribution network, aiming at the problems that the existing distributed photovoltaic receptivity estimation is limited to a certain relatively independent area (considering power supply peak shaving) or a certain voltage level (considering power grid side location and constant volume), the calculation is complex and the like.
The technical scheme of the invention is that the practical method for estimating the distributed photovoltaic receiving capacity of the power distribution network decomposes the distributed photovoltaic receiving capacity into the consumption capacity of the distributed photovoltaic and the delivery capacity of the power grid to the distributed photovoltaic; and estimating the receptivity of the low-voltage distribution transformer, the medium-voltage line and the high-voltage substation basic unit equipment to the distributed photovoltaic, and accumulating the voltage grades under the condition of meeting the capacity constraint condition of the superior power supply equipment to obtain the whole regional and distributed photovoltaic receptivity of each voltage grade.
The method comprises the following steps:
(1) local calculation of distributed photovoltaic absorption capacity
Maximum load P taken up by elementary unitsmaxAssuming that distributed photovoltaic with the same capacity is installed as a reference value, comparing the load at each moment with the output value of the distributed photovoltaic, and calculating the per unit value C of the absorption capacity at each moment according to the following formulaLTb,t：
Figure GDA0002972556340000031
In the formula: pLtAnd PDtRespectively representing the output values of the load and the distributed photovoltaic at the moment t;
selecting the minimum value as per-unit value C of the consumption capacity of the local load to the distributed photovoltaicLTb；
CLTb＝min{CLTb,t} (t＝1,2,…,24) (2)
For net loadIn areas with similar curves, under the condition that the per unit value of the local absorption capacity is known, the local load pair distributed photovoltaic absorption capacity C of the same type of basic unit can be quickly estimated according to the following formulaLT：
CLT＝rTTpCLTb (3)
In the formula: t ispThe capacity of the same type of basic unit equipment; r isTTypical daily maximum load rate for the device;
(2) calculation of distributed photovoltaic delivery capacity by power grid
Under the condition of no on-load connection, the maximum access capacity of the distributed photovoltaic under the constraints of transformer capacity, access line capacity, access point voltage deviation and the like is calculated, and the minimum value is selected as the outgoing capacity C of the power supply equipment to the distributed photovoltaicOTAs shown in the following formula:
COT＝min{Pvmax，Ptmax，Plmax} (4)
Pvmax＝Pv(Udi) (5)
Ptmax＝atTp (6)
Plmax＝alPl (7)
wherein, Pvmax、PtmaxAnd PlmaxDistributed photovoltaic maximum access capacity determined by node voltage deviation, transformer capacity and line capacity constraints respectively; u shapediIs a common access point voltage, Pv(.) a function of the delivery capacity determined for the bias of the voltage at the public access point; t ispFor changing/distributing equipment capacity, atThe safe transmission capacity coefficient of the transformer is obtained; a islFor safe transmission of the power factor, P, of the linelMaximum transmission power for the line;
(3) capacity calculation of distributed photovoltaics by base unit devices
Adding the local distributed photovoltaic absorption capacity and the power grid distributed photovoltaic delivery capacity to obtain the receiving capacity F of the basic unit equipment to the distributed photovoltaicTAs shown in the following formula:
FT＝CLT+CoT (8)
(4) regional distributed photovoltaic power savings calculation
Respectively solving the accepting capacity of basic unit equipment such as all distribution transformers, medium-voltage lines, transformer substations and the like in the jurisdiction according to the method, then performing classified accumulation, and taking the minimum value of the accepting capacity and the capacity of superior power supply equipment, namely the accepting capacity of each voltage level in the jurisdiction:
Figure GDA0002972556340000041
Figure GDA0002972556340000042
Figure GDA0002972556340000043
wherein, FS、FL、FTDistributed photovoltaic receiving capacities of a high-voltage substation, a medium-voltage line and a low-voltage distribution transformer area of a regional power distribution network are respectively set; n, m and k are the numbers of 110kV transformer substations, 10kV trunk lines and low-voltage distribution transformer substation areas in the region respectively; fSi、FLi、FTiDistributed photovoltaic receiving capacities of a transformer substation, a line and a distribution transformer i respectively; t issThe capacity of the substation with the trunk line is taken; t isLThe capacity of a medium-voltage trunk line in a splicing zone area;
(5) hierarchically described regional distributed photovoltaic acceptance
Common receivable distributed photovoltaic F for regional 110kV and below power gridS(ii) a Wherein, the power grid of 10kV and below can accept FLPublic distribution transformer area receivable FT；FS-FLNamely the distributed photovoltaic capacity which can be accessed to the internet through a 10kV special line; fL-FTNamely the distributed photovoltaic capacity which can be accessed to the internet through the special distribution transformer.
The distributed photovoltaic receiving capacity is solved by decomposing into local absorption capacity and delivery capacity; the local absorption capacity refers to the maximum distributed photovoltaic installed capacity which can be absorbed through a local load under the condition that the distributed photovoltaic is not delivered backwards; the outgoing capacity refers to the maximum distributed photovoltaic installed capacity that can be outgoing through the power grid without local loads.
The local consumption capability of the basic unit device is obtained by the product of the device capacity, the device load rate and the local consumption capability per unit value, and the local consumption capability per unit value can directly adopt the same type of device values with similar net load curves without calculation one by one.
The regional distributed photovoltaic absorption capacity is described in 3 levels of a low-voltage transformer area, a medium-voltage line and a high-voltage transformer substation, not only can the distributed photovoltaic absorption capacity of public equipment of each level be given, but also the capacity which can be absorbed through special equipment can be calculated.
a)110kV and below power grid acceptance capacity
Assuming that n transformer substations exist in an area, calculating the distributed photovoltaic receiving capacity F of each 110kV transformer substation in the areaS1，FS2，…，FSn(ii) a The following grid acceptance capacity of the area 110kV is the cumulative sum of the acceptance capacities of the substations, as shown in the following formula:
Figure GDA0002972556340000051
b)10kV and below power grid absorption capacity
Assuming that m 10kV trunk lines exist in the region, calculating the distributed photovoltaic receiving capacity F of each trunk line in the regionL1，FL2，…，FLm(ii) a The minimum value of the sum of the admission capacity of each trunk line and the capacity of a superior substation is taken from the admission capacity of the power grid in the region of 10kV and below as follows:
Figure GDA0002972556340000052
wherein, TsAnd carrying the transformer substation capacity constraint of the line.
c) Low voltage platform area absorption capacity
Assuming that k transformer areas exist in the area, calculating the distributed photovoltaic receiving capacity F of each low-voltage transformer area in the areaT1，FT2，…，FTk(ii) a The area low-voltage station area admission capacity is the minimum value of the sum of the admission capacities of the stations and the capacity of the upper-level line, and is shown as the following formula:
Figure GDA0002972556340000053
wherein, TLTo meet the medium voltage trunk capacity constraints of the above-mentioned bays.
According to the calculation result, the regional distributed photovoltaic receiving capacity is described in a voltage hierarchy mode as follows:
common receivable distributed photovoltaic F for regional 110kV and below power gridS. Wherein, the power grid of 10kV and below can accept FLPublic distribution transformer area receivable FT；FS-FLNamely the distributed photovoltaic capacity which can be accessed to the internet through a 10kV special line; fL-FTNamely the distributed photovoltaic capacity which can be accessed to the internet through the special distribution transformer.
Compared with the prior art, the method has the advantages that the method can estimate the whole receiving capacity of the area without a large amount of data support and developing complex simulation and optimization calculation, and synchronously gives the receiving scale of each voltage grade.
The method is suitable for simply estimating the scale of the receivable distributed photovoltaic cells in the region, and guiding the distributed photovoltaic cells where and with which voltage level to adopt for grid connection.
Drawings
FIG. 1 is a block diagram of steps of a distributed photovoltaic admission capacity estimation method for a power distribution network according to the present invention;
FIG. 2 is a typical daily load and distributed photovoltaic output curve;
FIG. 3 is a typical daily consumption per unit value curve of a red bayberry pond platform area at each time;
FIG. 4 is a typical daily consumption per unit value curve of a red bayberry pond line at each time;
FIG. 5 is a plot of the per unit value of the absorptive power at each time of a typical day of park change.
Detailed Description
The specific embodiment of the present invention is shown in fig. 1.
The method comprises the steps of firstly estimating the accepting capacity of a power grid of each voltage class to distributed photovoltaic, and then giving the accepting capacity of the whole area.
This example was carried out by the following steps:
I. calculating low-voltage area acceptance
Calculating according to the formulas (1) to (3) to obtain the local load absorbing capacity of the single station area; calculating according to the formulas (4) to (7) to obtain the sending capacity of the distributed power supply of the single distribution area; the overall receiving capacity of the area low-pressure platform area is obtained according to the formula (11).
II. Calculating medium voltage line acceptance
Calculating according to the formulas (1) to (3) to obtain the local load absorbing capacity of the single trunk line; calculating according to the formulas (4) to (7) to obtain the sending capacity of the distributed power supply of the single trunk line; the overall acceptance of the regional medium voltage line is obtained according to equation (10).
III, calculating the acceptance capacity of the high-voltage transformer substation
Calculating according to the formulas (1) to (3) to obtain the local load absorbing capacity of the single transformer substation; calculating according to the formulas (4) to (7) to obtain the sending capacity of the distributed power supply of the single substation; and (4) obtaining the integral receiving capacity of the regional high-voltage substation according to the formula (9).
IV, giving the overall receiving capacity of the area
And according to the calculation result, giving out the regional distributed photovoltaic receiving capacity by the partial voltage level.
In this embodiment, the validity of the proposed method is verified through the actual distribution network in a certain area, and the verification environment is set as: the area has 3 110kV transformer substations, 17 medium-voltage lines and 180 distribution transformers.
1. Low-voltage platform area admission capacity calculation
Taking a red bayberry pond district as an example, the maximum load of the district in a typical load day is 57.61kW, the transformer capacity is 125kVA, and the load rate is 46.09%; the model of the low-voltage main line is LGJ-120, and the length of the main line is 400 meters.
1) Local absorption capability estimation
According to typical daily load and distributed photovoltaic output conditions, a load-photovoltaic output curve is given, as shown in fig. 2. And calculates per unit value C of the digestion capability at each time according to equation (1)LTb,tAs shown in fig. 3. As can be seen from the figure, the per unit value of the local absorptive power is the minimum value at the moment (13 points) when the photovoltaic output is maximum, namely CLTb0.85. Therefore, the local digestion capacity of the common variables in the waxberry pond CL＝rTpCLb＝0.4609*125*0.85＝49kW。
2) Calculation of delivery capabilities
Constraints such as low-voltage line capacity, distribution capacity and low-voltage access point voltage fluctuation are considered.
The model of the myrica pool public low-voltage main line is LGJ-120, and the maximum delivery capacity P of the distributed power supply under the constraint of current-carrying capacitylmax＝250kW。
The allowable fluctuation range of the low-voltage three-phase voltage is +/-7% of the standard voltage, the length of the common low-voltage main line of the myrica pool is 400 meters, and the maximum delivery capacity P of the distributed power supply under the voltage constraintvmax＝74.8kW。
Transformer capacity 125kVA, maximum delivery capacity P of distributed power supply under constraint of distribution transformer capacitytmax＝125kW。
According to the formula (4), selecting the minimum value as the delivery capacity C of the common change of the waxberry pondOT＝75kW。
3) Base unit device admission capability calculation
According to the formula (8), the distributed photovoltaic receiving capacity F of the common variation of the waxberry pondT＝49+75＝124kW。
4) Area overall low-voltage distribution area admission capacity calculation
For convenience of calculation, the station areas are classified and statistically estimated according to the low-voltage trunk lines. The low-voltage main lines in the region are divided into 3 types such as JKLYJ-120, JKLYJ-240 and YJV 22-3-300, the total number of corresponding transformer regions is 120, 40 and 20 respectively, the distribution and transformation capacity is 15.25MVA, 7.2MVA and 3.64MVA respectively, and the average value of typical daily load rates is 42.79%, 45% and 48% respectively. Obtaining the distributed photovoltaic receiving capacity F of the low-voltage transformer area according to the formula (11)TThe results are shown in the table below, when the MW is 29.27 MW.
Table 1 calculation result of distributed photovoltaic receiving capacity of low-voltage distribution room in area
Figure GDA0002972556340000081
Figure GDA0002972556340000091
2. Medium voltage line admission capability calculation
Taking 10kV waxberry pond line as an example, the maximum load P of the line is typical load daymax4250 kW; the line model JKLYJ-240 (ampacity is 8.7MW), the line length is 4 km, and the load factor is 48.8%.
1) Local absorption capability estimation
According to the typical daily load and the distributed photovoltaic output situation, a load-photovoltaic output curve is given, and a per unit value C of the consumption capacity at each moment is calculated according to the formula (1)LTb,tAs shown in fig. 4. As can be seen from the figure, the per unit value of the local absorptive power is the minimum value at the moment (13 points) when the photovoltaic output is maximum, namely CLTb0.76. Therefore, the local absorption capacity C of the myrica pool lineL＝rTpCLb＝8.7*0.488*0.76＝3.23MW。
2) Calculation of delivery capabilities
Constraints such as medium voltage line capacity and access point voltage fluctuations are considered.
The trunk line model of the waxberry pond line is JKLYJ-240, and the maximum delivery capacity P of the distributed power supply under the current-carrying capacity constraintlmax＝8.7MW。
The allowable fluctuation range of the medium-voltage three-phase voltage is +/-7% of the standard voltage, the medium-voltage main line in the waxberry pond is 4 kilometers in length, and the maximum delivery capacity P of the distributed power supply under the voltage constraintvmax＝13.3MW。
According to the formula (4), selecting the minimum value as the delivery capacity C of the common change of the waxberry pondOT＝8.7MW。
3) Base unit device admission capability calculation
According toFormula (8), bayberry pond middling pressure line distributed photovoltaic accepting ability FT＝3.23+8.7＝11.93MW。
4) Regional global medium voltage line admission capacity calculation
The medium voltage in the region has 17 common lines, and the models are all JKLYJ-240. According to equation (10), a medium voltage line distributed photovoltaic receiving capacity F is obtainedLThe results are shown in the table below for 172.6 MW.
TABLE 2 results of Medium Voltage line distributed photovoltaic Admission Capacity calculation in area
Figure GDA0002972556340000101
3. High voltage substation acceptance calculation
Taking a 110kV park as an example, the station has the maximum load of 27.1MW at a typical load day, the transformer capacity of 100MVA and the load rate of 27.1%; the 110kV front round line of the power supply circuit is LGJ-240, the length of the line is 3.1 kilometers, and the current-carrying capacity is 116 MW.
1) Local absorption capability estimation
According to the typical daily load and the distributed photovoltaic output situation, a load-photovoltaic output curve is given, and a per unit value C of the consumption capacity at each moment is calculated according to the formula (1)LTb,tAs shown in fig. 5. As can be seen from the figure, the per unit value of the local absorptive power is the minimum value at the moment (13 points) when the photovoltaic output is maximum, namely CLTb0.84. Thus, the park variant local absorption capacity CL＝rTpCLb＝0.271*100*0.84＝22.8MW。
2) Calculation of delivery capabilities
Constraints such as high-voltage power line capacity, substation capacity and high-voltage line access point voltage fluctuation are considered.
The model of the front round line is LGJ-240, and the maximum outgoing capacity P of the distributed power supply under the current-carrying capacity constraintlmax＝116MW。
The allowable fluctuation range of the high-voltage three-phase voltage is +/-5% of the standard voltage, the length of the front round wire is 3.1 kilometers, and the maximum outgoing capacity P of the distributed power supply under the voltage constraintvmax＝1478MW。
Maximum outgoing capacity P of distributed power supply with transformer substation capacity of 100MVA and transformer substation capacity constrainttmax＝100MW。
According to the formula (4), selecting the minimum value as the delivery capacity C of the common change of the waxberry pondOT＝100MW。
3) Base unit device admission capability calculation
According to the formula (8), the distributed photovoltaic receiving capacity F of the common variation of the waxberry pondT＝22.8+100＝122.8MW。
4) Regional overall high-voltage substation acceptance calculation
The number of the 110kV transformer stations is 3, the main transformer capacity is 100MVA, and the load rates are 50.9%, 27.1% and 2.71% respectively. Obtaining the distributed photovoltaic receiving capacity F of the high-voltage transformer substation according to the formula (9)SThe results are shown in the table below, 367.8 MW.
Table 3 results of calculation of distributed photovoltaic receiving capacity of high-voltage transformer substation in area
Figure GDA0002972556340000111
4. Regional global receptivity calculation
According to the calculation result, the overall distributed photovoltaic receiving capacity of the area is described as follows: the power grid below 110kV can absorb distributed photovoltaic 367.8 MW. The power grid of 10kV or below can absorb 172.6MW, and the distributed photovoltaic power of 195.2MW is networked through a 10kV special line; the public distribution transformer area can absorb 29.27MW, and the distributed photovoltaic quantity which can be connected to the internet through the special distribution transformer is 143.33 MW.

Claims (2)

1.一种配电网分布式光伏接纳能力估算方法，其特征在于，所述方法将分布式光伏接纳能力分解成本地对分布式光伏的消纳能力和电网对分布式光伏的外送能力；估算出低压配变、中压线路和高压变电站基本单元设备对分布式光伏的接纳能力，并在满足上级供电设备容量约束条件下分电压等级进行累加，得出地区整体及各电压等级分布式光伏接纳能力；所述方法包括：1. A method for estimating the distributed photovoltaic capacity of a distribution network, characterized in that, the method decomposes the distributed photovoltaic acceptance capacity into the local capacity to accommodate the distributed photovoltaic and the power grid to the distributed photovoltaic capacity; Estimate the acceptance capacity of the basic unit equipment of low-voltage distribution transformers, medium-voltage lines and high-voltage substations for distributed photovoltaics, and accumulate the voltage levels under the condition that the capacity constraints of the superior power supply equipment are met, and obtain the distributed photovoltaics of the region as a whole and each voltage level. Receptivity; the method includes: (1)本地对分布式光伏消纳能力的计算(1) Local calculation of distributed photovoltaic capacity 以基本单元设备接带的最大负荷Pmax为基准值，假设安装同容量的分布式光伏，比较各时刻负荷和分布式光伏出力值，按下式计算各时刻消纳能力标幺值CLTb,t：Taking the maximum load P max of the basic unit equipment as the reference value, assuming that the distributed photovoltaic of the same capacity is installed, compare the load and the output value of the distributed photovoltaic at each time, and calculate the per-unit value C LTb of the consumption capacity at each time as follows, t :
Figure FDA0002908555270000011
Figure FDA0002908555270000011
 式中：PLt和PDt分别为负荷和分布式光伏在时刻t的出力值；In the formula: P Lt and P Dt are the output values of the load and distributed photovoltaics at time t, respectively; 从中选取最小值，作为本地对分布式光伏的消纳能力标幺值CLTb；The minimum value is selected from it as the per-unit value C LTb of the local accommodation capacity for distributed photovoltaics; CLTb＝min{CLTb,t}t＝1,2,…,24C LTb =min{C LTb,t }t=1,2,...,24 对于净负荷曲线类似地区，在本地对分布式光伏消纳能力标幺值已知的条件下，根据下式可快速估算同类型基本单元设备的本地对分布式光伏消纳能力CLT：For areas with similar net load curves, under the condition that the local per-unit value of the distributed photovoltaic absorption capacity is known, the local to distributed photovoltaic absorption capacity C LT of the same type of basic unit equipment can be quickly estimated according to the following formula: CLT＝rTTpCLTb C LT =r T T p C LTb 式中：Tp为同类型基本单元设备容量；rT为该设备典型日最大负载率；In the formula: T p is the capacity of the basic unit equipment of the same type; r T is the typical daily maximum load rate of the equipment; (2)电网对分布式光伏外送能力的计算(2) Calculation of the power grid's ability to send out distributed photovoltaics 在不接带负荷的条件下，计算变压器容量、接入线路容量和接入点电压偏差约束下的分布式光伏最大接入容量，选取其中最小值作为电网对分布式光伏的外送能力COT，如下式所示：Under the condition of no load connection, calculate the maximum access capacity of distributed photovoltaics under the constraints of transformer capacity, access line capacity and access point voltage deviation, and select the minimum value as the power grid's external transmission capacity of distributed photovoltaics C OT , as shown in the following formula: COT＝min{Pvmax，Ptmax，Plmax}C OT =min{P vmax , P tmax , P lmax } Pvmax＝Pv(Udi)P vmax =P v (U di ) Ptmax＝atTp P tmax = at T p Plmax＝alPl P lmax = a l P l 其中，Pvmax、Ptmax和Plmax分别为接入点电压偏差、变压器容量和接入线路容量约束决定的分布式光伏最大接入容量；Udi为公共接入点电压，Pv(.)为公共接入点电压偏差决定的外送能力函数；Tp为配变设备容量，at为变压器安全传输能力系数；al为线路安全传输能力系数，Pl为线路最大输送功率；Among them, P vmax , P tmax and P lmax are the maximum access capacity of distributed photovoltaics determined by the access point voltage deviation, transformer capacity and access line capacity constraints, respectively; U di is the common access point voltage, P v (.) is the outgoing capacity function determined by the voltage deviation of the public access point; T p is the capacity of the distribution transformer, at t is the transformer safety transmission capacity coefficient; a l is the line safety transmission capacity coefficient, and P l is the maximum transmission power of the line; (3)基本单元设备对分布式光伏的接纳能力计算(3) Calculation of the acceptance capacity of basic unit equipment for distributed photovoltaics 将本地对分布式光伏消纳能力和电网对分布式光伏外送能力相加，即可获得该基本单元设备对分布式光伏接纳能力FT，如下式所示：By adding up the local capacity for distributed photovoltaics and the grid for distributed photovoltaics, the receiving capacity F T of the basic unit equipment for distributed photovoltaics can be obtained, as shown in the following formula: FT＝CLT+COT F T =C LT +C OT (4)区域分布式光伏消纳能力计算(4) Calculation of Regional Distributed Photovoltaic Consumption Capacity 按上述方法分别求解辖区内所有低压配变、中压线路和高压变电站基本单元设备对分布式光伏的接纳能力，然后分类累加，取其与上级供电设备容量的最小值，即为区域内各电压层级的消纳能力：According to the above method, the receiving capacity of all low-voltage distribution transformers, medium-voltage lines and basic unit equipment of high-voltage substations in the jurisdiction for distributed photovoltaics is calculated, and then classified and accumulated, whichever is the smallest value of the capacity of the upper-level power supply equipment, which is the voltage of each voltage in the area. Levels of Consumption:
Figure FDA0002908555270000021
Figure FDA0002908555270000021
Figure FDA0002908555270000022
Figure FDA0002908555270000022
Figure FDA0002908555270000023
Figure FDA0002908555270000023
 其中，FS、FL、FT分别为区域配电网高压变电站、中压线路和低压配变的分布式光伏接纳能力；n，m，k分别为区域内110kV变电站、10kV主干线路和低压配变个数；Fsi、FLi、FTi分别为高压变电站、中压线路和低压配变i的分布式光伏接纳能力；TS为接带主干线路的变电站容量；TL为接带低压配变的中压主干线路容量；Among them, F S , F L , and F T are the distributed photovoltaic receiving capacity of high-voltage substations, medium-voltage lines and low-voltage distribution transformers in the regional distribution network, respectively; n, m, and k are the 110kV substations, 10kV trunk lines and low-voltage distribution in the region, respectively. The number of distribution transformers; F si , F Li , and F Ti are the distributed photovoltaic capacity of high-voltage substations, medium-voltage lines and low-voltage distribution transformers i respectively; T S is the capacity of substations connected to the main line; TL is the low-voltage connection The medium voltage trunk line capacity of the distribution transformer; (5)分层级描述区域分布式光伏接纳能力(5) Hierarchical description of regional distributed photovoltaic reception capacity 地区110kV及以下电网共可接纳分布式光伏FS；其中，10kV及以下电网可接纳FL，低压配变可接纳FT；FS-FL即为可通过10kV专线上网的分布式光伏量；FL-FT即为可通过专用配变上网的分布式光伏量。110kV and below power grids in the region can accept distributed photovoltaic FS ; among them, 10kV and below power grids can accept FL , and low-voltage distribution transformers can accept FT ; FS - FL is the distributed photovoltaic capacity that can be connected to the Internet through a 10kV dedicated line ; F L -F T is the distributed photovoltaic quantity that can be connected to the Internet through the special distribution transformer. 2.根据权利要求1所述的一种配电网分布式光伏接纳能力估算方法，其特征在于，所述分布式光伏接纳能力是通过分解为本地对分布式光伏消纳能力和电网对分布式光伏外送能力进行求解的；其中，本地对分布式光伏消纳能力指在分布式光伏不倒送的情况下，通过本地负荷可消纳的最大分布式光伏装机容量；电网对分布式光伏外送能力指在不接带本地负荷的情况下，通过电网可外送的最大分布式光伏装机容量。2 . The method for estimating distributed photovoltaic capacity of a distribution network according to claim 1 , wherein the distributed photovoltaic capacity is decomposed into local to distributed photovoltaic capacity and grid to distributed photovoltaic capacity. 3 . Solving for the photovoltaic output capacity; among them, the local capacity of distributed photovoltaics refers to the maximum installed capacity of distributed photovoltaics that can be absorbed by the local load without the distributed photovoltaics being sent back; Transmission capacity refers to the maximum distributed photovoltaic installed capacity that can be sent out through the grid without taking local loads.
CN201810223138.6A 2018-03-19 2018-03-19 Practical power distribution network distributed photovoltaic receiving capacity estimation method Active CN108376996B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810223138.6A CN108376996B (en) 2018-03-19 2018-03-19 Practical power distribution network distributed photovoltaic receiving capacity estimation method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810223138.6A CN108376996B (en) 2018-03-19 2018-03-19 Practical power distribution network distributed photovoltaic receiving capacity estimation method

Publications (2)

Publication Number Publication Date
CN108376996A CN108376996A (en) 2018-08-07
CN108376996B true CN108376996B (en) 2021-06-08

Family

ID=63018965

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810223138.6A Active CN108376996B (en) 2018-03-19 2018-03-19 Practical power distribution network distributed photovoltaic receiving capacity estimation method

Country Status (1)

Country Link
CN (1) CN108376996B (en)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110932306B (en) * 2018-09-20 2022-11-25 中国电力科学研究院有限公司 Power grid voltage deviation constraint index apportionment method and system
CN109599895B (en) * 2018-12-10 2020-09-18 国网浙江建德市供电有限公司 A distributed photovoltaic access method based on cluster analysis
CN109861272B (en) * 2018-12-18 2022-12-16 国网河北省电力有限公司 Multi-voltage-level power grid distributed power supply optimal configuration method considering electric quantity delivery
CN109754335B (en) * 2019-01-21 2021-07-13 上海上塔软件开发有限公司 High-proportion new energy consumption method based on load alignment
CN111668846B (en) * 2020-06-18 2021-12-28 中国电力科学研究院有限公司 A photovoltaic dual-mode self-adaptive cross-platform absorption method and system
CN111953025B (en) * 2020-06-29 2023-06-30 国网冀北电力有限公司 Method and system for determining distributed photovoltaic accommodation capacity of distribution network

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007028769A (en) * 2005-07-14 2007-02-01 Chugoku Electric Power Co Inc:The Method for recovery from accident in distribution line system, and power distribution control device
CN106712079A (en) * 2016-12-13 2017-05-24 国网江西省电力公司经济技术研究院 New energy absorption capacity calculation method for regional power grid
CN107103433A (en) * 2017-05-16 2017-08-29 国家电网公司 A kind of distributed power source digestion capability computational methods based on layering and zoning thought

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007028769A (en) * 2005-07-14 2007-02-01 Chugoku Electric Power Co Inc:The Method for recovery from accident in distribution line system, and power distribution control device
CN106712079A (en) * 2016-12-13 2017-05-24 国网江西省电力公司经济技术研究院 New energy absorption capacity calculation method for regional power grid
CN107103433A (en) * 2017-05-16 2017-08-29 国家电网公司 A kind of distributed power source digestion capability computational methods based on layering and zoning thought

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
大型分布式光伏发电消纳数据的智能调度方法研究;程虹等;《现代电子技术》;20170501;第40卷(第9期);正文第152-155页 *

Also Published As

Publication number Publication date
CN108376996A (en) 2018-08-07

Similar Documents

Publication Publication Date Title
CN108376996B (en) Practical power distribution network distributed photovoltaic receiving capacity estimation method
CN103353979B (en) The Optimizing Site Selection of a kind of distributed power source and constant volume method
Tanaka et al. Optimal operation by controllable loads based on smart grid topology considering insolation forecasted error
CN103840457B (en) Consider DG Optimal Configuration Method in the power distribution network that electric automobile discharge and recharge affects
Savić et al. Optimal sizing and location of SVC devices for improvement of voltage profile in distribution network with dispersed photovoltaic and wind power plants
CN104319768B (en) A kind of micro-capacitance sensor is powered and method for supervising
CN107069814B (en) Fuzzy Chance Constrained Programming Method and System for Distribution Network Distributed Power Capacity Layout
CN108418255A (en) A method and system for planning UHV DC external transmission grids suitable for new energy sources with high penetration rates
CN101431240A (en) Space-saving integrated AVC system control method considering step power station
CN104463357A (en) Method for evaluating random intermittent DG optimized integration based on random optimal power flow
Goswami et al. Development of a grid connected solar-wind hybrid system with reduction in levelized tariff for a remote island in India
CN109149555B (en) A credible capacity evaluation method of generalized power substation in distribution network considering power supply mode
CN112952818A (en) Wind, light and water multi-energy complementary capacity optimal configuration method based on output complementation
CN110492529A (en) A kind of more lotus coordinated control systems of coastal multi-source and method considering sea water desalination
Javadi et al. Optimal planning and operation of hybrid energy system supplemented by storage devices
CN108667071B (en) A calculation method for accurate load control of active distribution network
Tahir et al. Efficiency evaluation of the microgrid for selection of common bus using copula function-based efficiency curves of the converters
CN102684228A (en) Method for optimizing configuration of intermittent distribution type power supply based on complementary
Guo et al. Coordinated dispatching of flexible AC/DC distribution areas considering uncertainty of source and load
Shayeghi et al. Potentiometric of the renewable hybrid system for electrification of gorgor station
Powar et al. Business Case of Green Energy Based End to End DC Power Networks: Extremely Fast DC Charging of Electrical Vehicles near Highways
Taha et al. Hosting capacity maximization of wind and solar DGs in distribution networks using demand response and renewables curtailment
CN116154851A (en) Power distribution network system and method based on energy router
CN108090634A (en) A kind of power grid intermittence power grid overall merit platform at provincial and prefectural levels and evaluation method
Yadav et al. Voltage profile analysis in distribution network for allowable hosting capacity from PV integration

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
GR01 Patent grant
GR01 Patent grant