CN110912189A - Rural power distribution network adaptive planning method and system containing distributed photovoltaic - Google Patents

Rural power distribution network adaptive planning method and system containing distributed photovoltaic Download PDF

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Publication number
CN110912189A
CN110912189A CN201911199935.6A CN201911199935A CN110912189A CN 110912189 A CN110912189 A CN 110912189A CN 201911199935 A CN201911199935 A CN 201911199935A CN 110912189 A CN110912189 A CN 110912189A
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photovoltaic
distribution network
power distribution
load
rural power
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Inventor
董晋喜
王佳伟
许振波
秦文萍
姚宏民
于浩
张翔宇
黄河
王亚菊
李佳
徐亚男
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Taiyuan University of Technology
Economic and Technological Research Institute of State Grid Shanxi Electric Power Co Ltd
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Taiyuan University of Technology
Economic and Technological Research Institute of State Grid Shanxi Electric Power Co Ltd
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    • 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
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • 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
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
    • 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
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20—End-user application control systems
    • Y04S20/222—Demand response systems, e.g. load shedding, peak shaving

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Abstract

The invention discloses a rural power distribution network adaptive planning method and system with distributed photovoltaic. The method comprises the following steps: obtaining photovoltaic permeability; determining a typical time point of the year according to the photovoltaic permeability; simulating the operation condition of the rural power distribution network by adopting a random method according to the annual typical time point to obtain a simulation result; and planning the distributed photovoltaic resources configured for the rural power distribution network according to the simulation result. The method can fully consider the influence of the novel load and the photovoltaic device on the tide and the node voltage of the rural power distribution network, uniformly plan the rural power network and realize the optimal configuration of photovoltaic resources.

Description

Rural power distribution network adaptive planning method and system containing distributed photovoltaic
Technical Field
The invention relates to the field of planning of rural power distribution networks, in particular to a method and a system for adaptively planning a rural power distribution network with distributed photovoltaic.
Background
The planning design of rural power networks mainly adopts a traditional power network planning method at present, planning personnel set a scheme according to personal experience and local calculation, the scheme is reasonable in technical and economic efficiency from a feasible scheme, the method has considerable subjectivity, due to the fact that a photovoltaic poverty-relieving policy is implemented, a novel load and a photovoltaic power supply are connected into a rural power distribution network, the complexity of the novel load and the photovoltaic power supply is improved, a local optimal planning mode in the previous rural power network design can bring hidden dangers to the power network, therefore, the influence of the novel load and a photovoltaic device on the load flow and the node voltage of the rural power distribution network is necessary to be fully considered, the rural power network is planned in a unified mode, and optimal.
Disclosure of Invention
The invention aims to provide a rural power distribution network adaptive planning method and system containing distributed photovoltaic, which can be used for uniformly planning a rural power network and realizing optimal configuration of photovoltaic resources by fully considering the influence of a novel load and a photovoltaic device on the tide and node voltage of the rural power distribution network.
In order to achieve the purpose, the invention provides the following scheme:
a rural power distribution network adaptive planning method with distributed photovoltaic comprises the following steps:
obtaining photovoltaic permeability;
determining a typical time point of the year according to the photovoltaic permeability;
simulating the operation condition of the rural power distribution network by adopting a random method according to the annual typical time point to obtain a simulation result;
and planning the distributed photovoltaic resources configured for the rural power distribution network according to the simulation result.
Optionally, the obtaining the photovoltaic permeability specifically includes:
acquiring photovoltaic output at the time t and load at the time t;
adopting a formula according to the photovoltaic output at the t moment and the load at the t moment
Figure BDA0002295608420000011
Obtaining photovoltaic permeability;
wherein, αPV(t) photovoltaic permeability at time t, PPV(t) photovoltaic output at time t, PL(t) is the load at time t, where t is 1, 2.
Optionally, determining a typical time point of the year according to the photovoltaic permeability specifically includes:
selecting the maximum value of the photovoltaic permeability according to each photovoltaic permeability;
and taking the moment corresponding to the maximum value in the photovoltaic permeability as an annual typical time point.
Optionally, the simulating the operating condition of the rural power distribution network by using a random method according to the typical time point of the year to obtain a simulation result specifically includes:
determining a load coefficient and a photovoltaic output coefficient according to the typical time point of the year;
and simulating the operation condition of the rural power distribution network by adopting a random method according to the load coefficient and the photovoltaic output coefficient to obtain a simulation result.
Optionally, determining a load coefficient and a photovoltaic output coefficient according to the typical time point of the year specifically includes:
adopting a formula according to the typical time point of the year
Figure BDA0002295608420000021
Obtaining a load coefficient;
adopting a formula according to the typical time point of the year
Figure BDA0002295608420000022
Obtaining a photovoltaic output coefficient;
wherein l is the load coefficient, P is the photovoltaic output coefficient, PTLoad value at time T, PVTFor photovoltaic system output value at time T, PmaxAt annual peak load, PVNIs the rated capacity of the photovoltaic system.
Optionally, the simulating the operation condition of the rural power distribution network by using a random method according to the load coefficient and the photovoltaic output coefficient to obtain a simulation result specifically includes:
distributing a load curve by adopting a random method according to the load coefficient and the photovoltaic output coefficient, selecting a photovoltaic grid-connected position, determining photovoltaic grid-connected capacity, distributing a photovoltaic grid-connected point output curve and carrying out load flow calculation to obtain a load flow calculation result;
and determining a simulation result according to the load flow calculation result.
A rural power distribution network adaptive planning system with distributed photovoltaic comprises:
the photovoltaic permeability acquisition module is used for acquiring photovoltaic permeability;
the typical time point of the year determining module is used for determining the typical time point of the year according to the photovoltaic permeability;
the simulation result determining module is used for simulating the operation condition of the rural power distribution network by adopting a random method according to the typical time point of the year to obtain a simulation result;
and the planning module is used for planning the rural power distribution network configuration distributed photovoltaic resources according to the simulation result.
Optionally, the photovoltaic permeability acquiring module specifically includes:
the acquisition unit is used for acquiring photovoltaic output at the time t and load at the time t;
a photovoltaic permeability determining unit for applying a formula according to the t-time photovoltaic output and the t-time load
Figure BDA0002295608420000031
Obtaining photovoltaic permeability;
wherein, αPV(t) photovoltaic permeability at time t, PPV(t) photovoltaic output at time t, PL(t) is the load at time t, where t is 1, 2.
Optionally, the annual typical time point determining module specifically includes:
the photovoltaic permeability maximum value determining unit is used for selecting the maximum value in the photovoltaic permeability according to each photovoltaic permeability;
and the typical annual time point determining unit is used for taking the time corresponding to the maximum value in the photovoltaic permeability as a typical annual time point.
Optionally, the simulation result determining module specifically includes:
the load coefficient and photovoltaic output coefficient determining unit is used for determining the load coefficient and the photovoltaic output coefficient according to the typical time point of the year;
and the simulation result determining unit is used for simulating the operation condition of the rural power distribution network by adopting a random method according to the load coefficient and the photovoltaic output coefficient to obtain a simulation result.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
planning is carried out aiming at the condition that the distributed photovoltaic system is connected to the rural power distribution network, the configuration scheme of the photovoltaic system is obtained, the problem of distributed power generation resource waste caused by disordered distribution of the photovoltaic system in the rural power distribution network is solved, photovoltaic power generation and rural agricultural load are complemented on the basis of reducing the rural power distribution network transformation cost, the local voltage of the rural power distribution network is improved, and the power supply reliability of the rural power distribution network is improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a flow chart of a rural power distribution network adaptive planning method with distributed photovoltaic of the present invention;
FIG. 2 is a voltage level graph of photovoltaic permeability from 0% to 300% in an IEEE33 node power distribution network according to the present invention;
FIG. 3 is a wiring diagram of an IEEE33 node distribution network system to which the present invention relates;
FIG. 4 is a graph of irradiance variation coefficients in 2017 of a place in China according to the present invention;
FIG. 5 is a graph of the change coefficient of the load data in the rural area in 2017 of a certain place in China, which is related by the invention;
FIG. 6 is a diagram of results of a scene simulation run in accordance with the present invention;
fig. 7 is a structural diagram of the rural power distribution network adaptive planning system with distributed photovoltaic provided by the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention aims to provide a rural power distribution network adaptive planning method and system containing distributed photovoltaic, which can be used for uniformly planning a rural power network and realizing optimal configuration of photovoltaic resources by fully considering the influence of a novel load and a photovoltaic device on the tide and node voltage of the rural power distribution network.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
In order to solve the planning problem of the distributed photovoltaic access rural power distribution network, the characteristics of intermittency and fluctuation of photovoltaic resources of the rural power distribution network are considered, and meanwhile, irrigation, agricultural product production and processing are mainly performed in spring and autumn in the rural power distribution network, so that the seasonal characteristics of relatively high load in spring and autumn and relatively low load in summer and winter are presented. The invention provides a rural power distribution network adaptive planning method containing distributed photovoltaic, aiming at the problems that the planning of a distributed photovoltaic resource access rural power distribution network in the prior art is lack of a guidance method and the like. Fig. 1 is a flow chart of the rural power distribution network adaptive planning method with distributed photovoltaic. As shown in fig. 1, a method for adaptively planning a rural power distribution network including distributed photovoltaic includes:
step 101: obtaining photovoltaic permeability, specifically comprising:
and acquiring photovoltaic output at the time t and load at the time t.
Adopting a formula according to the photovoltaic output at the t moment and the load at the t moment
Figure BDA0002295608420000041
And obtaining the photovoltaic permeability.
Wherein, αPV(t) photovoltaic permeability at time t, PPV(t) photovoltaic output at time t, PL(t) is the load at time t, where t is 1, 2.
Step 102: according to the photovoltaic permeability, determining a typical time point of the year specifically comprises:
and selecting the maximum value of the photovoltaic permeability according to each photovoltaic permeability.
And taking the moment corresponding to the maximum value in the photovoltaic permeability as an annual typical time point.
Step 103: simulating the operation condition of the rural power distribution network by adopting a random method according to the annual typical time point to obtain a simulation result, which specifically comprises the following steps:
determining a load coefficient and a photovoltaic output coefficient according to the typical time point of the year, and particularly adopting a formula according to the typical time point of the year
Figure BDA0002295608420000051
Obtaining a load coefficient; adopting a formula according to the typical time point of the year
Figure BDA0002295608420000052
Obtaining a photovoltaic output coefficient; wherein l is the load coefficient, P is the photovoltaic output coefficient, PTLoad value at time T, PVTFor photovoltaic system output value at time T, PmaxAt annual peak load, PVNIs the rated capacity of the photovoltaic system.
And specifically, distributing a load curve, selecting a photovoltaic grid-connected position, determining photovoltaic grid-connected capacity, distributing a photovoltaic grid-connected point output curve and performing load flow calculation according to the load coefficient and the photovoltaic output coefficient by adopting a random method to obtain a load flow calculation result.
And determining a simulation result according to the load flow calculation result.
Considering that the area of the distribution network area of the rural area is relatively small in practice, the irradiance is not considered to generate deviation in the distribution network area, and therefore the same irradiance value is adopted for each node of the system. The random process of scene simulation mainly comprises the following steps: the method comprises the steps of enabling a node load time sequence curve model to be random, enabling the number of photovoltaic grid-connected nodes to be random, enabling the photovoltaic grid-connected positions to be random, and enabling the photovoltaic grid-connected capacity to be increased progressively according to photovoltaic permeability.
For a rural power distribution network with N load nodes, the scene simulation comprises the following specific steps:
(1) and distributing node load curves. And randomly selecting N curves from the load change coefficient curve library, and randomly distributing the N curves to N load nodes.
(2) Photovoltaic grid-connected positionAnd (4) selecting. In N load node sets, randomly selecting NPVEach node is used for accessing the photovoltaic system.
(3) Photovoltaic grid connection capacity CnAnd (4) determining. For each node N accessing the photovoltaic (N ∈ N)PV) Photovoltaic system capacity in terms of photovoltaic permeability αPVIncremental, i.e. photovoltaic installation capacity of node n
Figure BDA0002295608420000053
Wherein
Figure BDA0002295608420000061
Is the active load of node n.
(4) And distributing the output curve of the photovoltaic grid-connected point. And distributing a photovoltaic output curve for each photovoltaic grid-connected point according to the annual variation curve of the normalized solar irradiation intensity of the power distribution network location and the environment temperature and by combining the photovoltaic grid-connected capacity of each node.
(5) And (5) load flow calculation. And calculating the steady-state load flow of the system, and recording the voltage level of the system.
(6) α for each photovoltaic permeabilityPVAnd (4) repeating the steps (1) to (5), sampling for multiple times to obtain different photovoltaic grid-connected node numbers, grid-connected positions and installation capacities, and storing the photovoltaic grid-connected positions, capacities, system voltage levels, voltage out-of-limit node numbers and node voltage out-of-limit frequencies simulated each time.
Step 104: and planning the distributed photovoltaic resources configured for the rural power distribution network according to the simulation result.
The specific planning comprises the following contents:
and (3) obtaining a scene simulation operation result graph as shown in fig. 6 by taking the total photovoltaic installation capacity of the system in each simulation as a horizontal axis and the maximum voltage of the system node in each simulation as a vertical axis, wherein each point in the graph 6 represents an operation result.
Using the upper limit of system voltage constraint as the line parallel to the horizontal axis, the intersection set and the point M1And M2Respectively passing through point M1And M2A line parallel to the longitudinal axis is drawn and the coordinate system is divided A, B, C into three regions. M1Referred to as the distribution grid photovoltaic intrinsic capacity, M2The maximum photovoltaic access capacity of the power distribution network.
(1) When the photovoltaic system is located in the area A, the mean voltage of all nodes of the rural power distribution network can be maintained within the deviation allowed by the power supply voltage, the distribution of the access positions and the installation capacity of the distributed photovoltaic system connected to the rural power distribution network is not considered too much, the operation stability of the rural power distribution network is not required to be analyzed, and particularly, the point located in the area A represents that the total capacity of the photovoltaic system connected to the rural power distribution network is smaller than M1In the process, no matter the distributed photovoltaic system is installed at a single node or a plurality of nodes in the rural distribution network, and no matter which node in the rural distribution network is connected with the photovoltaic, the voltage and the water of all the nodes of the rural distribution network can be maintained within the allowable deviation of the power supply voltage on average without action. Under the condition, the photovoltaic device in the rural power distribution network does not need to consider the distribution of the access position and the installation capacity of the distributed photovoltaic system accessed to the rural power distribution network too much, and does not need to analyze the operation stability of the rural power distribution network aiming at the access of the distributed photovoltaic system.
(2) If the photovoltaic system is located in the area B, the distributed photovoltaic system of the rural power distribution network needs to be configured reasonably, and specifically, the point located in the area B represents that the total capacity of the photovoltaic system connected to the rural power distribution network is M1To M2Meanwhile, if the access position selection or the installation capacity distribution of the distributed photovoltaic system is not reasonable, the voltage level of the rural power distribution network node is high, even the voltage level exceeds the limit, and under the condition, a power grid operator needs to perform detailed simulation research on different access positions and installation capacities of the distributed photovoltaic system, so that the distributed photovoltaic system of the rural power distribution network is reasonably configured.
(3) If the total capacity of the photovoltaic system is greater than the maximum photovoltaic absorption capacity M of the rural distribution network, the distribution network is connected to a point in the area C, and the point in the area C is connected to the point in the area C2In time, no matter which installation scheme is adopted, the node voltage of the rural power distribution network is out of limit. Therefore, when the total capacity of the photovoltaic system of the rural power distribution network reaches M2At that time, no more distributed access should be made to the distribution networkA photovoltaic system.
The method solves the problems that the existing research is not comprehensive in consideration of rural power distribution network access distributed photovoltaic, the rural power distribution network is accessed to photovoltaic power supplies and agricultural loads for planning, and the like.
Example 1:
as shown in FIG. 2, the photovoltaic permeability of the power distribution network with IEEE33 nodes is from 0% to 300% of voltage level. With the increase of the photovoltaic permeability, except for the node 1 (balance node), the voltage of other nodes rises. The voltage rise of the nodes 17, 18, 30, 31, 32 and 33 farthest from the power point in the distribution network is most obvious, and the voltage change of the nodes 2, 3 and 19 close to the power point is not obvious.
The out-of-limit of the node voltage of the power distribution network becomes a main factor limiting the penetration level of the photovoltaic system of the rural power distribution network. The influence of different photovoltaic power supply access positions and photovoltaic installation capacity on the voltage of each node of the rural power distribution network is different.
Taking an IEEE33 node power distribution network system as an example to study the distributed photovoltaic adaptability planning of a rural power distribution network, fig. 3 is a wiring diagram of the IEEE33 node power distribution network system related to the invention. As shown in fig. 3, the system includes 33 nodes, where node 1 is a power supply point and is set as a balanced node, the reference voltage is 12.66kV, the reference power is 10MVA, the voltage per unit is 1.04pu, the total active load in the system is 3.715MW, and the reactive load is 2.3 MVar. The photovoltaic system is connected to the grid by using a special transformer, and the photovoltaic grid-connected node is regarded as a PQ node by adopting a self-generation and self-use margin Internet access mode.
The detailed parameter settings are as follows: fig. 4 is a graph of irradiance variation coefficient in 2017 of a certain place in China, and fig. 5 is a graph of rural load data variation coefficient in 2017 of a certain place in China, which is related by the invention. The ambient temperature was taken at 20 ℃.
And calculating the annual photovoltaic permeability according to the photovoltaic output and the annual load change condition, and taking the time point of the maximum value as the annual typical time point T. Calculated photovoltaic permeability at 3399 hours was 173.7%, which is the annual photovoltaic permeability maximum, and thus was determined to be a typical time point of the year. At this moment, the load coefficient l is calculated to be 0.1811, the photovoltaic output coefficient p is 0.7212, random scene simulation of grid connection of the distributed photovoltaic system is carried out according to the random process for simulating the operation condition of the rural power distribution network by adopting a random method, 500 times of random scene simulation are set under each photovoltaic permeability, and 15500 times of random scene simulation are total. Fig. 6 is a diagram of a result of a scene simulation run in accordance with the present invention.
The requirements in the State grid corporation 'Regulation for Power System Voltage quality and reactive Power management': the allowable deviation of the three-phase power supply voltage of 10kV or below is +/-7% of the rated voltage. Therefore, the node voltage control range is set to [0.93pu,1.07pu ] for the rural distribution network. In fig. 6, at a voltage of 1.07pu, a line parallel to the horizontal axis is drawn, and intersects all the point sets at points M1 and M2, and a point M1 is defined as "distribution network inherent photovoltaic absorption capacity" and a point M2 is defined as "distribution network maximum photovoltaic absorption capacity".
The two lines parallel to the longitudinal axis are respectively made at two points to divide the coordinate graph into A, B, C three regions, and the meaning of the scene in A, B, C three regions is explained as follows:
(1) the point falling in the area a represents that when the total capacity of the photovoltaic system connected to the rural power distribution network is less than M1, the voltage of all nodes of the rural power distribution network can be maintained within the allowable deviation of the power supply voltage no matter whether the distributed photovoltaic system is installed at a single node or at a plurality of nodes, and no matter which node in the rural power distribution network is connected to the photovoltaic system, in this case, the photovoltaic device in the rural power distribution network does not need to consider the distribution of the connection position and the installation capacity of the distributed photovoltaic system connected to the rural power distribution network too much, and the operation stability analysis of the rural power distribution network does not need to be performed for the connection of the distributed photovoltaic system.
(2) The point falling in the area B represents that when the total capacity of the photovoltaic system connected to the rural power distribution network is between M1 and M2, if the access position selection or the installation capacity distribution of the distributed photovoltaic system is not reasonable, the voltage level of the node of the rural power distribution network is high or even exceeds the limit, and in this case, the power grid operator needs to perform detailed simulation research on different access positions and installation capacities of the distributed photovoltaic system to reasonably configure the distributed photovoltaic system of the rural power distribution network.
(3) The point falling in the area C represents that when the total capacity of the photovoltaic system connected to the rural power distribution network exceeds the maximum photovoltaic absorption capacity M2 of the rural power distribution network, no matter which installation scheme is adopted, the voltage of the node of the rural power distribution network is out of limit.
Fig. 7 is a structural diagram of the rural power distribution network adaptive planning system with distributed photovoltaic provided by the invention. As shown in fig. 7, an adaptive planning system for a rural power distribution network with distributed photovoltaic includes:
a photovoltaic permeability obtaining module 201, configured to obtain photovoltaic permeability.
An annual typical time point determination module 202, configured to determine an annual typical time point according to the photovoltaic permeability.
And the simulation result determining module 203 is used for simulating the operation condition of the rural power distribution network by adopting a random method according to the annual typical time point to obtain a simulation result.
And the planning module 204 is used for planning the rural power distribution network configuration distributed photovoltaic resources according to the simulation result.
The photovoltaic permeability acquiring module 201 specifically includes:
the acquisition unit is used for acquiring photovoltaic output at the time t and load at the time t;
a photovoltaic permeability determining unit for applying a formula according to the t-time photovoltaic output and the t-time load
Figure BDA0002295608420000091
And obtaining the photovoltaic permeability.
Wherein, αPV(t) photovoltaic permeability at time t, PPV(t) photovoltaic output at time t, PL(t) is the load at time t, where t is 1, 2.
The annual typical time point determining module 202 specifically includes:
and the photovoltaic permeability maximum value determining unit is used for selecting the maximum value in the photovoltaic permeability according to each photovoltaic permeability.
And the typical annual time point determining unit is used for taking the time corresponding to the maximum value in the photovoltaic permeability as a typical annual time point.
The simulation result determining module 203 specifically includes:
and the load coefficient and photovoltaic output coefficient determining unit is used for determining the load coefficient and the photovoltaic output coefficient according to the typical time point of the year.
And the simulation result determining unit is used for simulating the operation condition of the rural power distribution network by adopting a random method according to the load coefficient and the photovoltaic output coefficient to obtain a simulation result.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.

Claims (10)

1. A rural power distribution network adaptive planning method with distributed photovoltaic is characterized by comprising the following steps:
obtaining photovoltaic permeability;
determining a typical time point of the year according to the photovoltaic permeability;
simulating the operation condition of the rural power distribution network by adopting a random method according to the annual typical time point to obtain a simulation result;
and planning the distributed photovoltaic resources configured for the rural power distribution network according to the simulation result.
2. The method for adaptively planning the rural power distribution network including the distributed photovoltaic system according to claim 1, wherein the obtaining of the photovoltaic permeability specifically comprises:
acquiring photovoltaic output at the time t and load at the time t;
adopting a formula according to the photovoltaic output at the t moment and the load at the t moment
Figure FDA0002295608410000011
Obtaining photovoltaic permeability;
wherein, αPV(t) photovoltaic permeability at time t, PPV(t) photovoltaic output at time t, PL(t) is the load at time t, t 1, 2.. 8760.
3. The method for adaptively planning the rural power distribution network including the distributed photovoltaic system according to claim 1, wherein the determining a typical time point of the year according to the photovoltaic permeability specifically includes:
selecting the maximum value of the photovoltaic permeability according to each photovoltaic permeability;
and taking the moment corresponding to the maximum value in the photovoltaic permeability as an annual typical time point.
4. The rural power distribution network adaptive planning method with distributed photovoltaic of claim 1, wherein the operating condition of the rural power distribution network is simulated by a random method according to the typical time point of the year to obtain a simulation result, specifically comprising:
determining a load coefficient and a photovoltaic output coefficient according to the typical time point of the year;
and simulating the operation condition of the rural power distribution network by adopting a random method according to the load coefficient and the photovoltaic output coefficient to obtain a simulation result.
5. The method for adaptively planning the rural power distribution network including the distributed photovoltaic system according to claim 4, wherein the determining the load coefficient and the photovoltaic output coefficient according to the typical time point of the year specifically comprises:
adopting a formula according to the typical time point of the year
Figure FDA0002295608410000012
Obtaining a load coefficient;
adopting a formula according to the typical time point of the year
Figure FDA0002295608410000021
Obtaining a photovoltaic output coefficient;
wherein l is the load coefficient, P is the photovoltaic output coefficient, PTLoad value at time T, PVTFor photovoltaic system output value at time T, PmaxAt annual peak load, PVNIs the rated capacity of the photovoltaic system.
6. The rural power distribution network adaptive planning method containing distributed photovoltaic of claim 4, wherein the operating condition of the rural power distribution network is simulated by a random method according to the load coefficient and the photovoltaic output coefficient to obtain a simulation result, specifically comprising:
distributing a load curve by adopting a random method according to the load coefficient and the photovoltaic output coefficient, selecting a photovoltaic grid-connected position, determining photovoltaic grid-connected capacity, distributing a photovoltaic grid-connected point output curve and carrying out load flow calculation to obtain a load flow calculation result;
and determining a simulation result according to the load flow calculation result.
7. The utility model provides a rural distribution network adaptability planning system that contains distributed photovoltaic which characterized in that includes:
the photovoltaic permeability acquisition module is used for acquiring photovoltaic permeability;
the typical time point of the year determining module is used for determining the typical time point of the year according to the photovoltaic permeability;
the simulation result determining module is used for simulating the operation condition of the rural power distribution network by adopting a random method according to the typical time point of the year to obtain a simulation result;
and the planning module is used for planning the rural power distribution network configuration distributed photovoltaic resources according to the simulation result.
8. The rural power distribution network adaptive planning system with distributed photovoltaics of claim 7, wherein the photovoltaic permeability obtaining module specifically comprises:
the acquisition unit is used for acquiring photovoltaic output at the time t and load at the time t;
a photovoltaic permeability determining unit for applying a formula according to the t-time photovoltaic output and the t-time load
Figure FDA0002295608410000022
Obtaining photovoltaic permeability;
wherein, αPV(t) photovoltaic permeability at time t, PPV(t) photovoltaic output at time t, PL(t) is the load at time t, t 1, 2.. 8760.
9. The rural power distribution network adaptive planning system with distributed photovoltaic of claim 7, wherein the annual typical time point determination module specifically comprises:
the photovoltaic permeability maximum value determining unit is used for selecting the maximum value in the photovoltaic permeability according to each photovoltaic permeability;
and the typical annual time point determining unit is used for taking the time corresponding to the maximum value in the photovoltaic permeability as a typical annual time point.
10. The system for planning the adaptability of the rural power distribution network including the distributed photovoltaic system according to claim 7, wherein the simulation result determining module specifically includes:
the load coefficient and photovoltaic output coefficient determining unit is used for determining the load coefficient and the photovoltaic output coefficient according to the typical time point of the year;
and the simulation result determining unit is used for simulating the operation condition of the rural power distribution network by adopting a random method according to the load coefficient and the photovoltaic output coefficient to obtain a simulation result.
CN201911199935.6A 2019-11-29 2019-11-29 Rural power distribution network adaptive planning method and system containing distributed photovoltaic Pending CN110912189A (en)

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