CN111641204B - Calculation method and device for distributed energy admission capacity - Google Patents
Calculation method and device for distributed energy admission capacity Download PDFInfo
- Publication number
- CN111641204B CN111641204B CN201910153916.3A CN201910153916A CN111641204B CN 111641204 B CN111641204 B CN 111641204B CN 201910153916 A CN201910153916 A CN 201910153916A CN 111641204 B CN111641204 B CN 111641204B
- Authority
- CN
- China
- Prior art keywords
- distributed energy
- maximum
- capacity
- distribution network
- load
- 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
Links
Classifications
-
- 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
-
- 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
- H02J3/381—Dispersed generators
Abstract
The invention relates to a calculation method and a device of a distributed energy source admittance capacity, wherein the method comprises the following steps: acquiring a maximum admittance capacity initial value of the distributed energy according to the maximum load of the power distribution network and the maximum load of each sub-network in the power distribution network; obtaining a limit interval of the maximum admittance capacity of the distributed energy sources by utilizing simulation scenes of the plurality of the distributed energy sources accessing the power distribution network; and comparing the initial value of the maximum admittance capacity of the distributed energy with the limit interval of the maximum admittance capacity of the distributed energy, and determining the optimal value of the maximum admittance capacity of the distributed energy according to the comparison result. The technical scheme provided by the invention improves the accuracy of the calculation result of the admission capacity of the distributed energy, ensures that the large-scale distributed energy is safely and reliably accessed into the power distribution network, and has wide application range.
Description
Technical Field
The invention relates to the field of planning operation of power distribution networks, in particular to a method and a device for calculating the admission capacity of distributed energy sources.
Background
At present, environmental pollution is increasingly serious, and energy crisis is continuously increased. Due to the characteristics of economy, environmental protection, flexibility and safety of distributed energy sources, the distributed energy sources step into the stage of rapid development under the support of national policies. However, the existing distribution network structure and operation control mode have great restriction effect on the access capacity of the distributed energy, so that the distribution network cannot operate safely and reliably after large-scale distributed energy access. The existing distribution network adopts a radial and multi-section simple-connection topological structure and an open-loop operation and centralized control operation control mode, so that system voltage, electric energy quality, short-circuit current, relay protection and the like are seriously influenced after large-scale distributed energy is accessed, and the safe and reliable operation of the distribution network is further influenced. It can be seen that the problem of accurate calculation of the access capacity of the distributed energy source becomes a key problem affecting whether the distributed energy source can be safely accessed into the power grid on a large scale.
The method for calculating the admission capacity of the distributed energy sources in the prior art mainly focuses on calculating the maximum admission capacity of the distributed energy sources by adopting a multi-objective optimization method, and specifically comprises the following three types of methods: 1) Performing multi-objective optimization aiming at the access type and/or the access position and/or the access mode of the distributed energy sources, maximizing the access capacity of the distributed energy sources in the power distribution network, and further calculating the maximum access capacity of the distributed energy sources; 2) Analyzing reactive compensation, adjusting transformer taps, network reconstruction and the like to influence the maximum admittance capacity of the distributed energy sources, optimizing and coordinating reactive compensation and/or adjusting the transformer taps and/or the network reconstruction and the like to maximize the admittance capacity of the distributed energy sources in the power distribution network, and further calculating the maximum admittance capacity of the distributed energy sources; 3) The access type and/or the access position and/or the access mode and/or the reactive compensation and/or the adjustment of the transformer tap and/or the network reconstruction of the distributed energy are comprehensively considered through a multi-objective optimization method, the maximization of the access capacity of the distributed energy in the power distribution network is realized, and the maximum access capacity of the distributed energy is calculated.
However, the method provided by the prior art can only solve the problem of optimizing and calculating the distributed energy admittance capacity of the local distribution network, cannot be applied to a large-scale and large-area distribution network, and cannot systematically solve the problem of calculating the distributed energy admittance capacity in the distribution network; in addition, the method only considers the influence of the access type, the access position, the access mode, reactive compensation, the tap of the adjusting transformer and network reconstruction on the maximum access capacity of the distributed energy, and the considered influence factors are very limited, so that the accuracy of the obtained calculation result of the access capacity of the distributed energy is poor, and finally the safety and the reliability of the large-scale access of the distributed energy to the power grid are seriously influenced.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to determine the optimal value of the maximum admittance capacity of the distributed energy according to the comparison result by comparing the initial value of the maximum admittance capacity of the distributed energy with the limit interval of the maximum admittance capacity of the distributed energy, thereby improving the accuracy of the calculation result, ensuring the safe and reliable access of the large-scale distributed energy to the power distribution network, and getting rid of the limitation of the calculation of the maximum admittance capacity of the distributed energy in the local power distribution network.
The invention aims at adopting the following technical scheme:
in a method of calculating a distributed energy admission capacity, the improvement comprising:
acquiring a maximum admittance capacity initial value of the distributed energy according to the maximum load of the power distribution network and the maximum load of each sub-network in the power distribution network;
obtaining a limit interval of the maximum admittance capacity of the distributed energy sources by utilizing simulation scenes of the plurality of the distributed energy sources accessing the power distribution network;
and comparing the initial value of the maximum admittance capacity of the distributed energy with the limit interval of the maximum admittance capacity of the distributed energy, and determining the optimal value of the maximum admittance capacity of the distributed energy according to the comparison result.
Preferably, the obtaining the initial value of the maximum admittance capacity of the distributed energy according to the maximum load of the power distribution network and the maximum load of each sub-network in the power distribution network includes:
Determining a first maximum admittance capacity of the distributed energy source by using the maximum load of the power distribution network;
determining a second maximum admittance capacity of the distributed energy source by using the maximum load of each sub-network in the power distribution network;
and selecting the minimum value of the first maximum admittance capacity of the distributed energy and the second maximum admittance capacity of the distributed energy as the initial value of the maximum admittance capacity of the distributed energy.
Further, a first maximum admittance capacity of the distributed energy source is determined according to the following formula
In the formula, k is a proportionality coefficient of the maximum admittance capacity of the distributed energy sources of the power distribution network, and P is the maximum load of the power distribution network;
determining a second maximum admittance capacity of the distributed energy source as follows
In the above formula, i is [1, M ]]M is the total number of subnetworks in the distribution network; k (k) i ' scaling factor for maximum admittance capacity of distributed energy source of ith sub-network in distribution network, P i ' is the maximum load of the ith subnetwork in the distribution network.
Preferably, the obtaining the limit interval of the maximum admittance capacity of the distributed energy by using the simulation scene of the multiple distributed energy access distribution network includes:
establishing simulation scenes of a plurality of distributed energy access power distribution networks by using scene element sets;
obtaining the maximum admittance capacity of the distributed energy sources of the simulation scene of each distributed energy source access power distribution network by using a simulation test method;
And taking the minimum value in the maximum admittance capacity of the distributed energy sources of the simulation scene of the distributed energy source access power distribution network as the lower limit value of the limit interval of the maximum admittance capacity of the distributed energy sources, and taking the maximum value in the maximum admittance capacity of the distributed energy sources of the simulation scene of the distributed energy source access power distribution network as the upper limit value of the limit interval of the maximum admittance capacity of the distributed energy sources.
Further, the scene element set includes: a power distribution network set, a load set, a distributed energy set and a constraint factor set;
the scene elements in the distribution network set include: distribution network type, distribution network structure, and distribution network parameters;
the scene elements in the load set include: load type and load size;
the scene elements in the distributed energy collection include: the distributed energy type, the distributed energy access position and the distributed energy access mode;
the scene elements in the constraint factor set include: voltage rise/drop/stabilization, voltage ripple, voltage flicker, voltage sag, harmonics, three-phase imbalance, short circuit current magnitude, short circuit current direction, protection malfunction, protection rejection, and network loss.
Specifically, the scene elements in the power distribution network set further include: distribution network equipment and/or distribution network technology;
the scene elements in the load set further include: load spatial distribution characteristics and/or load temporal distribution characteristics.
Further, the establishing a simulation scene of the plurality of distributed energy access power distribution networks by using the scene element set includes:
and respectively selecting all scene elements from the power distribution network set, the load set and the distributed energy set by utilizing a random algorithm, selecting any one or more scene elements from the constraint factor set, and establishing simulation scenes of a plurality of distributed energy access power distribution networks.
Preferably, the comparing the initial value of the maximum admission capacity of the distributed energy with the limit interval of the maximum admission capacity of the distributed energy, and determining the optimal value of the maximum admission capacity of the distributed energy according to the comparison result, includes:
if the initial value of the maximum admittance capacity of the distributed energy is smaller than the lower limit value of the limit interval of the maximum admittance capacity of the distributed energy, the lower limit value of the limit interval of the maximum admittance capacity of the distributed energy is made to be the optimal value of the maximum admittance capacity of the distributed energy;
if the initial value of the maximum admittance capacity of the distributed energy is larger than the upper limit value of the limit interval of the maximum admittance capacity of the distributed energy, the upper limit value of the limit interval of the maximum admittance capacity of the distributed energy is made to be the optimal value of the maximum admittance capacity of the distributed energy;
And if the initial value of the maximum admittance capacity of the distributed energy is within the limit interval of the maximum admittance capacity of the distributed energy, the initial value of the maximum admittance capacity of the distributed energy is the optimal value of the maximum admittance capacity of the distributed energy.
In a distributed energy admission capacity computing device, the improvement comprising:
the first acquisition unit is used for acquiring a maximum admittance capacity initial value of the distributed energy according to the maximum load of the power distribution network and the maximum load of each sub-network in the power distribution network;
the second acquisition unit is used for acquiring a limit interval of the maximum admittance capacity of the distributed energy sources by utilizing simulation scenes of the plurality of distributed energy sources accessing the power distribution network;
and the comparison unit is used for comparing the initial value of the maximum admission capacity of the distributed energy with the limit interval of the maximum admission capacity of the distributed energy, and determining the optimal value of the maximum admission capacity of the distributed energy according to the comparison result.
Compared with the closest prior art, the invention has the following beneficial effects:
according to the technical scheme provided by the invention, the maximum admittance capacity initial value of the distributed energy is obtained according to the maximum load of the power distribution network and the maximum load of each sub-network in the power distribution network, so that the calculation problem of the admittance capacity of the distributed energy in the power distribution network is comprehensively solved from the system and local angles, and the requirements of coordination configuration and on-demand scheduling of the distributed energy between the whole power system and the upper and lower power grids are met; meanwhile, the limit interval of the maximum admittance capacity of the distributed energy is obtained by utilizing the simulation scene of the access of the plurality of distributed energy to the power distribution network, so that the limitation of the calculation of the maximum admittance capacity of the distributed energy in the local power distribution network can be eliminated, and the application range is enlarged to a large-scale and large-area power distribution network; further, by comparing the initial value of the maximum admission capacity of the distributed energy with the limit interval of the maximum admission capacity of the distributed energy, the optimal value of the maximum admission capacity of the distributed energy is determined according to the comparison result, the accuracy of the calculation result is improved, and the large-scale safe and reliable access of the distributed energy to the power distribution network is ensured.
Drawings
Fig. 1 is a schematic flow chart of a method for calculating a distributed energy admission capacity according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a distributed energy admission capacity calculation device according to an embodiment of the present invention.
Detailed Description
The following describes the embodiments of the present invention in further detail with reference to the drawings.
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention provides a calculation method of a distributed energy source admittance capacity, as shown in fig. 1, the method comprises the following steps:
101. acquiring a maximum admittance capacity initial value of the distributed energy according to the maximum load of the power distribution network and the maximum load of each sub-network in the power distribution network;
102. obtaining a limit interval of the maximum admittance capacity of the distributed energy sources by utilizing simulation scenes of the plurality of the distributed energy sources accessing the power distribution network;
103. And comparing the initial value of the maximum admittance capacity of the distributed energy with the limit interval of the maximum admittance capacity of the distributed energy, and determining the optimal value of the maximum admittance capacity of the distributed energy according to the comparison result.
Further, the step 101 includes:
determining a first maximum admittance capacity of the distributed energy source by using the maximum load of the power distribution network;
determining a second maximum admittance capacity of the distributed energy source by using the maximum load of each sub-network in the power distribution network;
and selecting the minimum value of the first maximum admittance capacity of the distributed energy and the second maximum admittance capacity of the distributed energy as the initial value of the maximum admittance capacity of the distributed energy.
Specifically, a first maximum admittance capacity of the distributed energy source is determined according to the following formula
In the formula, k is a proportionality coefficient of the maximum admittance capacity of the distributed energy sources of the power distribution network, and P is the maximum load of the power distribution network;
determining a second maximum admittance capacity of the distributed energy source as follows
In the above formula, i is [1, M ]]M is the total number of subnetworks in the distribution network; k (k) i ' scaling factor for maximum admittance capacity of distributed energy source of ith sub-network in distribution network, P i ' is the maximum load of the ith subnet in the power distribution network;
the proportionality coefficient of the maximum admittance capacity of the distributed energy sources of the power distribution network and the proportionality coefficient of the maximum admittance capacity of the distributed energy sources of the sub-network in the power distribution network can be determined according to the overall planning of the power distribution network and the requirements of the distributed energy sources.
Further, after the initial value of the maximum admittance capacity of the distributed energy source is obtained, the step 102 includes:
establishing simulation scenes of a plurality of distributed energy access power distribution networks by using scene element sets;
obtaining the maximum admittance capacity of the distributed energy sources of the simulation scene of each distributed energy source access power distribution network by using a simulation test method;
and taking the minimum value in the maximum admittance capacity of the distributed energy sources of the simulation scene of the distributed energy source access power distribution network as the lower limit value of the limit interval of the maximum admittance capacity of the distributed energy sources, and taking the maximum value in the maximum admittance capacity of the distributed energy sources of the simulation scene of the distributed energy source access power distribution network as the upper limit value of the limit interval of the maximum admittance capacity of the distributed energy sources.
Specifically, the scene element set includes: a power distribution network set, a load set, a distributed energy set and a constraint factor set;
the scene elements in the distribution network set may include: distribution network type, distribution network structure, and distribution network parameters; according to the actual working condition demand, other scene elements can be configured in the power distribution network set, for example: distribution network equipment and/or distribution network technology;
the scene elements in the load set may include: load type and load size; according to the actual working condition requirement, other scene elements can be configured in the load set, for example: load spatial distribution characteristics and/or load temporal distribution characteristics;
The scene elements in the distributed energy collection may include: the distributed energy type, the distributed energy access position and the distributed energy access mode;
the scene elements in the constraint factor set may include: voltage rise/drop/stabilization, voltage fluctuation, voltage flicker, voltage sag, harmonics, three-phase imbalance, short-circuit current magnitude, short-circuit current direction, protection malfunction, protection rejection and network loss;
wherein, since three elements of voltage rise, voltage drop, and voltage stabilization cannot occur at the same time, the relationship between voltage rise/drop/stabilization is or;
the type of the power distribution network can be any one of the following: alternating current distribution networks, direct current distribution networks and alternating current-direct current hybrid distribution networks;
the distribution network structure can be any one of the following: radial network structure, annular network structure, multi-segment single-contact network structure, multi-segment multi-contact network structure, grid network structure, quincuncial petal network structure, etc.;
the distribution network parameters can be any one or more of the following: network voltage class, network power supply capacity, etc.;
the power distribution network equipment can be any one or more of the following: harmonic suppression device, reactive compensation device, voltage regulation device, energy storage device, etc.;
The distribution network technology can be any one or more of the following: a distributed power grid-connected control technology, a power distribution network coordination control technology, a power distribution network optimization technology, a harmonic suppression technology and the like;
the load type can be any one of the following: alternating current load, direct current load and flexible load;
the load space distribution characteristic can be any one of the following: load average distribution, load triangular distribution, load inverted triangular distribution and the like;
the load time distribution characteristic can be any one or more of the following: daily load change, seasonal load change, annual load change, etc.;
the distributed energy source type can be any one or more of the following: wind energy, solar energy, gas turbines, fuel cells, cogeneration of heat and power, internal combustion engine set power, small hydroelectric power, tidal energy, biomass energy, geothermal energy and the like;
the distributed energy access position can be any one or more of the following: access bus, access feeder middle and access feeder end, etc.;
the distributed energy access mode can be any one or more of the following modes: large-scale centralized access, small-scale decentralized access, micro-grid access, synchronous generator type access, induction generator type access, inverter type access, single voltage class access, multi-voltage class access and the like.
Further, the establishing a simulation scene of the plurality of distributed energy access power distribution networks by using the scene element set includes:
and respectively selecting all scene elements from the power distribution network set, the load set and the distributed energy set by utilizing a random algorithm, selecting any one or more scene elements from the constraint factor set, and establishing simulation scenes of a plurality of distributed energy access power distribution networks.
Specifically, the establishing a simulation scene of the multiple distributed energy access power distribution network by using the scene element set includes:
and respectively selecting at least one scene element from the power distribution network set, the load set, the distributed energy set and the constraint factor set by utilizing a random algorithm, and establishing simulation scenes of a plurality of distributed energy access power distribution networks.
For example, the simulation scenario of the distributed energy access power distribution network may include:
(1) Simulation scene 1 of distributed energy access distribution network:
distribution network scene element set = { alternating current distribution network, radial network structure, network voltage class 10kV, network power supply capacity }
Load scene element set = { alternating load, load size, load average distribution }
Distributed energy scene element set = { solar energy, access bus, large-scale centralized access }
Constraint factor scene element set = { voltage fluctuation };
(2) Simulation scene 2 of distributed energy access distribution network:
distribution network scene element set = { alternating current distribution network, annular network structure, network voltage class of 35kV, network power supply capacity }
Load scene element set = { alternating load, load size, load daily variation }
Distributed energy scene element set = { wind energy, access feeder line end, large-scale centralized access }
Constraint factor scene element set = { harmonic };
(3) Simulation scene 3 of distributed energy access distribution network:
distribution network scene element set = { alternating current distribution network, radial network structure, network voltage class 10kV, network power supply capacity }
Load scene element set = { alternating load, load size, load average distribution }
Distributed energy scene element set = { wind energy, access bus, small-scale scattered access }
Constraint factor scene element set = { voltage fluctuation };
(4) Simulation scene 4 of distributed energy access distribution network:
distribution network scene element set = { alternating current distribution network, annular network structure, network voltage class of 10kV, network power supply capacity }
Load scene element set = { alternating load, load size, load daily variation }
Distributed energy scene element set = { solar energy, access feeder line end, small-scale scattered access }
Constraint factor scene element set = { harmonic };
(5) Simulation scene 5 of distributed energy access distribution network:
distribution network scene element set = { alternating current distribution network, radial network structure, network voltage class of 10kV, network power supply capacity, reactive compensation device }
Load scene element set = { alternating load, load size, load average distribution }
Distributed energy scene element set = { solar energy, access feeder line end, small-scale scattered access }
Constraint factor scene element set = { short-circuit current magnitude and short-circuit current direction }
(6) Simulation scene 6 of distributed energy access distribution network:
distribution network scene element set = { alternating current distribution network, annular network structure, network voltage class of 35kV, network power supply capacity, reactive compensation device }
Load scene element set = { alternating load, load size, load annual }
Distributed energy scene element set = { wind energy, access bus, small-scale scattered access }
Constraint factor scene element set = { short-circuit current magnitude and short-circuit current direction };
(7) Simulation scene 7 of distributed energy access distribution network:
Distribution network scene element set = { alternating current distribution network, radial network structure, network voltage class of 10kV, network power supply capacity and harmonic suppression device }
Load scene element set = { alternating load, load size, load average distribution }
Distributed energy scene element set = { wind energy, access feeder line end, large-scale centralized access }
Constraint factor scene element set = { harmonic };
(8) Simulation scene 8 of distributed energy access distribution network:
distribution network scene element set = { alternating current distribution network, annular network structure, network voltage class of 10kV, network power supply capacity and harmonic suppression device }
Load scene element set = { alternating load, load size, load annual }
Distributed energy scene element set = { solar energy, access bus, large-scale centralized access }
Constraint factor scene element set = { voltage fluctuation };
(9) Simulation scene 9 of distributed energy access distribution network:
distribution network scene element set = { alternating current distribution network, radial network structure, network voltage class of 10kV, network power supply capacity, distribution network optimization technique }
Load scene element set = { alternating load, load size, load average distribution }
Distributed energy scene element set = { solar energy, access bus, small-scale scattered access }
Constraint factor scene element set = { harmonic };
(10) Simulation scene 10 of distributed energy access distribution network:
distribution network scene element set = { alternating current distribution network, annular network structure, network voltage class of 35kV, network power supply capacity, distribution network optimization technology }
Load scene element set = { alternating load, load size, load average distribution, load daily variation }
Distributed energy scene element set = { wind energy, access bus, large-scale centralized access }
Constraint factor scene element set = { voltage fluctuation };
(11) Simulation scene 11 of distributed energy access distribution network:
distribution network scene element set = { alternating current distribution network, radial network structure, network voltage class of 10kV, network power supply capacity, energy storage device and distribution network coordination control technology }
Load scene element set = { alternating load, load size, load average distribution }
Distributed energy scene element set = { wind energy, access feeder line end, large-scale centralized access }
Constraint factor scene element set = { short-circuit current magnitude and short-circuit current direction };
(12) Simulation scene 12 of distributed energy access distribution network:
distribution network scene element set = { alternating current distribution network, annular network structure, network voltage class of 10kV, network power supply capacity, energy storage device and distribution network coordination control technology }
Load scene element set = { alternating load, load size, load average distribution, load daily variation }
Distributed energy scene element set = { solar energy, access feeder line end, large-scale centralized access }
Constraint factor scene element set= { short-circuit current magnitude, short-circuit current direction }.
Further, after the initial value of the maximum admission capacity of the distributed energy and the limit interval of the maximum admission capacity of the distributed energy are obtained, the step 103 includes:
if the initial value of the maximum admittance capacity of the distributed energy is smaller than the lower limit value of the limit interval of the maximum admittance capacity of the distributed energy, the lower limit value of the limit interval of the maximum admittance capacity of the distributed energy is made to be the optimal value of the maximum admittance capacity of the distributed energy;
if the initial value of the maximum admittance capacity of the distributed energy is larger than the upper limit value of the limit interval of the maximum admittance capacity of the distributed energy, the upper limit value of the limit interval of the maximum admittance capacity of the distributed energy is made to be the optimal value of the maximum admittance capacity of the distributed energy;
And if the initial value of the maximum admittance capacity of the distributed energy is within the limit interval of the maximum admittance capacity of the distributed energy, the initial value of the maximum admittance capacity of the distributed energy is the optimal value of the maximum admittance capacity of the distributed energy.
The invention also provides a device for calculating the admission capacity of the distributed energy, as shown in fig. 2, the device comprises:
the first acquisition unit is used for acquiring a maximum admittance capacity initial value of the distributed energy according to the maximum load of the power distribution network and the maximum load of each sub-network in the power distribution network;
the second acquisition unit is used for acquiring a limit interval of the maximum admittance capacity of the distributed energy sources by utilizing simulation scenes of the plurality of distributed energy sources accessing the power distribution network;
and the comparison unit is used for comparing the initial value of the maximum admission capacity of the distributed energy with the limit interval of the maximum admission capacity of the distributed energy, and determining the optimal value of the maximum admission capacity of the distributed energy according to the comparison result.
Further, the first acquisition unit includes:
the first determining module is used for determining a first maximum admittance capacity of the distributed energy source by utilizing the maximum load of the power distribution network;
the second determining module is used for determining a second maximum admittance capacity of the distributed energy source by utilizing the maximum load of each sub-network in the power distribution network;
The selecting module is used for selecting the minimum value of the first maximum admittance capacity of the distributed energy and the second maximum admittance capacity of the distributed energy as the initial value of the maximum admittance capacity of the distributed energy.
Specifically, the first determining module is configured to determine a first maximum admittance capacity of the distributed energy source according to the following formula
In the formula, k is a proportionality coefficient of the maximum admittance capacity of the distributed energy sources of the power distribution network, and P is the maximum load of the power distribution network;
a second determining module for determining a second maximum admittance capacity of the distributed energy source according to the following formula
In the above formula, i is [1, M ]]M is the total number of subnetworks in the distribution network; k (k) i ' scaling factor for maximum admittance capacity of distributed energy source of ith sub-network in distribution network, P i ' as a distribution networkMaximum load of the ith subnet;
the proportionality coefficient of the maximum admittance capacity of the distributed energy sources of the power distribution network and the proportionality coefficient of the maximum admittance capacity of the distributed energy sources of the sub-network in the power distribution network can be determined according to the overall planning of the power distribution network and the requirements of the distributed energy sources.
Further, the second obtaining unit includes:
the building module is used for building simulation scenes of the plurality of distributed energy access distribution networks by utilizing the scene element set;
The first acquisition module is used for acquiring the maximum admittance capacity of the distributed energy sources of the simulation scene of the distributed energy source access power distribution network by using a simulation test method;
the second acquisition module is used for taking the minimum value in the maximum admittance capacity of the distributed energy sources of the simulation scene of each distributed energy source accessing the power distribution network as the lower limit value of the limit interval of the maximum admittance capacity of the distributed energy sources, and taking the maximum value in the maximum admittance capacity of the distributed energy sources of the simulation scene of each distributed energy source accessing the power distribution network as the upper limit value of the limit interval of the maximum admittance capacity of the distributed energy sources.
Wherein the scene element set includes: a power distribution network set, a load set, a distributed energy set and a constraint factor set;
the scene elements in the distribution network set may include: distribution network type, distribution network structure, and distribution network parameters; according to the actual working condition demand, other scene elements can be configured in the power distribution network set, for example: distribution network equipment and/or distribution network technology;
the scene elements in the load set may include: load type and load size; according to the actual working condition requirement, other scene elements can be configured in the load set, for example: load spatial distribution characteristics and/or load temporal distribution characteristics;
The scene elements in the distributed energy collection may include: the distributed energy type, the distributed energy access position and the distributed energy access mode;
the scene elements in the constraint factor set may include: voltage rise/drop/stabilization, voltage fluctuation, voltage flicker, voltage sag, harmonics, three-phase imbalance, short-circuit current magnitude, short-circuit current direction, protection malfunction, protection rejection and network loss;
wherein, since three elements of voltage rise, voltage drop, and voltage stabilization cannot occur at the same time, the relationship between voltage rise/drop/stabilization is or;
the type of the power distribution network can be any one of the following: alternating current distribution networks, direct current distribution networks and alternating current-direct current hybrid distribution networks;
the distribution network structure can be any one of the following: radial network structure, annular network structure, multi-segment single-contact network structure, multi-segment multi-contact network structure, grid network structure, quincuncial petal network structure, etc.;
the distribution network parameters can be any one or more of the following: network voltage class, network power supply capacity, etc.;
the power distribution network equipment can be any one or more of the following: harmonic suppression device, reactive compensation device, voltage regulation device, energy storage device, etc.;
The distribution network technology can be any one or more of the following: a distributed power grid-connected control technology, a power distribution network coordination control technology, a power distribution network optimization technology, a harmonic suppression technology and the like;
the load type can be any one of the following: alternating current load, direct current load and flexible load;
the load space distribution characteristic can be any one of the following: load average distribution, load triangular distribution, load inverted triangular distribution and the like;
the load time distribution characteristic can be any one or more of the following: daily load change, seasonal load change, annual load change, etc.;
the distributed energy source type can be any one or more of the following: wind energy, solar energy, gas turbines, fuel cells, cogeneration of heat and power, internal combustion engine set power, small hydroelectric power, tidal energy, biomass energy, geothermal energy and the like;
the distributed energy access position can be any one or more of the following: access bus, access feeder middle and access feeder end, etc.;
the distributed energy access mode can be any one or more of the following modes: large-scale centralized access, small-scale decentralized access, micro-grid access, synchronous generator type access, induction generator type access, inverter type access, single voltage class access, multi-voltage class access and the like.
Further, the establishing a simulation scene of the plurality of distributed energy access power distribution networks by using the scene element set includes:
and respectively selecting all scene elements from the power distribution network set, the load set and the distributed energy set by utilizing a random algorithm, selecting any one or more scene elements from the constraint factor set, and establishing simulation scenes of a plurality of distributed energy access power distribution networks.
For example, the simulation scenario of the distributed energy access power distribution network may include:
(1) Simulation scene 1 of distributed energy access distribution network:
distribution network scene element set = { alternating current distribution network, radial network structure, network voltage class 10kV, network power supply capacity }
Load scene element set = { alternating load, load size, load average distribution }
Distributed energy scene element set = { solar energy, access bus, large-scale centralized access }
Constraint factor scene element set = { voltage fluctuation };
(2) Simulation scene 2 of distributed energy access distribution network:
distribution network scene element set = { alternating current distribution network, annular network structure, network voltage class of 35kV, network power supply capacity }
Load scene element set = { alternating load, load size, load daily variation }
Distributed energy scene element set = { wind energy, access feeder line end, large-scale centralized access }
Constraint factor scene element set = { harmonic };
(3) Simulation scene 3 of distributed energy access distribution network:
distribution network scene element set = { alternating current distribution network, radial network structure, network voltage class 10kV, network power supply capacity }
Load scene element set = { alternating load, load size, load average distribution }
Distributed energy scene element set = { wind energy, access bus, small-scale scattered access }
Constraint factor scene element set = { voltage fluctuation };
(4) Simulation scene 4 of distributed energy access distribution network:
distribution network scene element set = { alternating current distribution network, annular network structure, network voltage class of 10kV, network power supply capacity }
Load scene element set = { alternating load, load size, load daily variation }
Distributed energy scene element set = { solar energy, access feeder line end, small-scale scattered access }
Constraint factor scene element set = { harmonic };
(5) Simulation scene 5 of distributed energy access distribution network:
distribution network scene element set = { alternating current distribution network, radial network structure, network voltage class of 10kV, network power supply capacity, reactive compensation device }
Load scene element set = { alternating load, load size, load average distribution }
Distributed energy scene element set = { solar energy, access feeder line end, small-scale scattered access }
Constraint factor scene element set = { short-circuit current magnitude and short-circuit current direction }
(6) Simulation scene 6 of distributed energy access distribution network:
distribution network scene element set = { alternating current distribution network, annular network structure, network voltage class of 35kV, network power supply capacity, reactive compensation device }
Load scene element set = { alternating load, load size, load annual }
Distributed energy scene element set = { wind energy, access bus, small-scale scattered access }
Constraint factor scene element set = { short-circuit current magnitude and short-circuit current direction };
(7) Simulation scene 7 of distributed energy access distribution network:
distribution network scene element set = { alternating current distribution network, radial network structure, network voltage class of 10kV, network power supply capacity and harmonic suppression device }
Load scene element set = { alternating load, load size, load average distribution }
Distributed energy scene element set = { wind energy, access feeder line end, large-scale centralized access }
Constraint factor scene element set = { harmonic };
(8) Simulation scene 8 of distributed energy access distribution network:
distribution network scene element set = { alternating current distribution network, annular network structure, network voltage class of 10kV, network power supply capacity and harmonic suppression device }
Load scene element set = { alternating load, load size, load annual }
Distributed energy scene element set = { solar energy, access bus, large-scale centralized access }
Constraint factor scene element set = { voltage fluctuation };
(9) Simulation scene 9 of distributed energy access distribution network:
distribution network scene element set = { alternating current distribution network, radial network structure, network voltage class of 10kV, network power supply capacity, distribution network optimization technique }
Load scene element set = { alternating load, load size, load average distribution }
Distributed energy scene element set = { solar energy, access bus, small-scale scattered access }
Constraint factor scene element set = { harmonic };
(10) Simulation scene 10 of distributed energy access distribution network:
distribution network scene element set = { alternating current distribution network, annular network structure, network voltage class of 35kV, network power supply capacity, distribution network optimization technology }
Load scene element set = { alternating load, load size, load average distribution, load daily variation }
Distributed energy scene element set = { wind energy, access bus, large-scale centralized access }
Constraint factor scene element set = { voltage fluctuation };
(11) Simulation scene 11 of distributed energy access distribution network:
distribution network scene element set = { alternating current distribution network, radial network structure, network voltage class of 10kV, network power supply capacity, energy storage device and distribution network coordination control technology }
Load scene element set = { alternating load, load size, load average distribution }
Distributed energy scene element set = { wind energy, access feeder line end, large-scale centralized access }
Constraint factor scene element set = { short-circuit current magnitude and short-circuit current direction };
(12) Simulation scene 12 of distributed energy access distribution network:
distribution network scene element set = { alternating current distribution network, annular network structure, network voltage class of 10kV, network power supply capacity, energy storage device and distribution network coordination control technology }
Load scene element set = { alternating load, load size, load average distribution, load daily variation }
Distributed energy scene element set = { solar energy, access feeder line end, large-scale centralized access }
Constraint factor scene element set= { short-circuit current magnitude, short-circuit current direction }.
Further, the comparing unit includes:
the first judging module is used for enabling the lower limit value of the limit interval of the maximum admittance capacity of the distributed energy to be the optimal value of the maximum admittance capacity of the distributed energy if the initial value of the maximum admittance capacity of the distributed energy is smaller than the lower limit value of the limit interval of the maximum admittance capacity of the distributed energy;
the second judging module is used for enabling the upper limit value of the limit interval of the maximum admittance capacity of the distributed energy to be the optimal value of the maximum admittance capacity of the distributed energy if the initial value of the maximum admittance capacity of the distributed energy is larger than the upper limit value of the limit interval of the maximum admittance capacity of the distributed energy;
and the third judging module is used for enabling the initial value of the maximum admission capacity of the distributed energy to be the optimal value of the maximum admission capacity of the distributed energy if the initial value of the maximum admission capacity of the distributed energy is within the limit interval of the maximum admission capacity of the distributed energy.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.
Claims (6)
1. A method for calculating a distributed energy admission capacity, the method comprising:
acquiring a maximum admittance capacity initial value of the distributed energy according to the maximum load of the power distribution network and the maximum load of each sub-network in the power distribution network;
Obtaining a limit interval of the maximum admittance capacity of the distributed energy sources by utilizing simulation scenes of the plurality of the distributed energy sources accessing the power distribution network;
comparing the initial value of the maximum admittance capacity of the distributed energy with the limit interval of the maximum admittance capacity of the distributed energy, and determining the optimal value of the maximum admittance capacity of the distributed energy according to the comparison result;
the obtaining the initial value of the maximum admittance capacity of the distributed energy according to the maximum load of the power distribution network and the maximum load of each sub-network in the power distribution network comprises the following steps:
determining a first maximum admittance capacity of the distributed energy source by using the maximum load of the power distribution network;
determining a second maximum admittance capacity of the distributed energy source by using the maximum load of each sub-network in the power distribution network;
selecting the minimum value of the first maximum admittance capacity of the distributed energy and the second maximum admittance capacity of the distributed energy as the initial value of the maximum admittance capacity of the distributed energy;
the method for obtaining the limit interval of the maximum admittance capacity of the distributed energy by using the simulation scene of the plurality of distributed energy access distribution networks comprises the following steps:
establishing simulation scenes of a plurality of distributed energy access power distribution networks by using scene element sets;
obtaining the maximum admittance capacity of the distributed energy sources of the simulation scene of each distributed energy source access power distribution network by using a simulation test method;
Taking the minimum value of the maximum admittance capacity of the distributed energy sources of the simulation scene of each distributed energy source access power distribution network as the lower limit value of the limit interval of the maximum admittance capacity of the distributed energy sources, and taking the maximum value of the maximum admittance capacity of the distributed energy sources of the simulation scene of each distributed energy source access power distribution network as the upper limit value of the limit interval of the maximum admittance capacity of the distributed energy sources;
the comparison of the initial value of the maximum admission capacity of the distributed energy and the limit interval of the maximum admission capacity of the distributed energy, and the determination of the optimal value of the maximum admission capacity of the distributed energy according to the comparison result, comprises the following steps:
if the initial value of the maximum admittance capacity of the distributed energy is smaller than the lower limit value of the limit interval of the maximum admittance capacity of the distributed energy, the lower limit value of the limit interval of the maximum admittance capacity of the distributed energy is made to be the optimal value of the maximum admittance capacity of the distributed energy;
if the initial value of the maximum admittance capacity of the distributed energy is larger than the upper limit value of the limit interval of the maximum admittance capacity of the distributed energy, the upper limit value of the limit interval of the maximum admittance capacity of the distributed energy is made to be the optimal value of the maximum admittance capacity of the distributed energy;
and if the initial value of the maximum admittance capacity of the distributed energy is within the limit interval of the maximum admittance capacity of the distributed energy, the initial value of the maximum admittance capacity of the distributed energy is the optimal value of the maximum admittance capacity of the distributed energy.
2. The method of claim 1, wherein the first maximum admittance capacity of the distributed energy source is determined as follows
In the formula, k is a proportionality coefficient of the maximum admittance capacity of the distributed energy sources of the power distribution network, and P is the maximum load of the power distribution network;
determining a second maximum admittance capacity of the distributed energy source as follows
In the above formula, i is [1, M ]]M is the total number of subnetworks in the distribution network; k (k) i ' scaling factor for maximum admittance capacity of distributed energy source of ith sub-network in distribution network, P i ' is the maximum load of the ith subnetwork in the distribution network.
3. The method of claim 1, wherein the set of scene elements comprises: a power distribution network set, a load set, a distributed energy set and a constraint factor set;
the scene elements in the distribution network set include: distribution network type, distribution network structure, and distribution network parameters;
the scene elements in the load set include: load type and load size;
the scene elements in the distributed energy collection include: the distributed energy type, the distributed energy access position and the distributed energy access mode;
the scene elements in the constraint factor set include: voltage rise/drop/stabilization, voltage ripple, voltage flicker, voltage sag, harmonics, three-phase imbalance, short circuit current magnitude, short circuit current direction, protection malfunction, protection rejection, and network loss.
4. The method of claim 3, wherein the scene elements in the collection of power distribution networks further comprise: distribution network equipment and/or distribution network technology;
the scene elements in the load set further include: load spatial distribution characteristics and/or load temporal distribution characteristics.
5. The method of claim 3 or 4, wherein the creating a simulation scenario of a plurality of distributed energy access power distribution networks using the set of scenario elements comprises:
and respectively selecting all scene elements from the power distribution network set, the load set and the distributed energy set by utilizing a random algorithm, selecting any one or more scene elements from the constraint factor set, and establishing simulation scenes of a plurality of distributed energy access power distribution networks.
6. A distributed energy admission capacity calculation apparatus for implementing a distributed energy admission capacity calculation method as defined in claim 1, said apparatus comprising:
the first acquisition unit is used for acquiring a maximum admittance capacity initial value of the distributed energy according to the maximum load of the power distribution network and the maximum load of each sub-network in the power distribution network;
the second acquisition unit is used for acquiring a limit interval of the maximum admittance capacity of the distributed energy sources by utilizing simulation scenes of the plurality of distributed energy sources accessing the power distribution network;
And the comparison unit is used for comparing the initial value of the maximum admission capacity of the distributed energy with the limit interval of the maximum admission capacity of the distributed energy, and determining the optimal value of the maximum admission capacity of the distributed energy according to the comparison result.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910153916.3A CN111641204B (en) | 2019-03-01 | 2019-03-01 | Calculation method and device for distributed energy admission capacity |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910153916.3A CN111641204B (en) | 2019-03-01 | 2019-03-01 | Calculation method and device for distributed energy admission capacity |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111641204A CN111641204A (en) | 2020-09-08 |
| CN111641204B true CN111641204B (en) | 2023-09-22 |
Family
ID=72333144
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910153916.3A Active CN111641204B (en) | 2019-03-01 | 2019-03-01 | Calculation method and device for distributed energy admission capacity |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111641204B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112488192A (en) * | 2020-11-30 | 2021-03-12 | 国家电网有限公司 | Regional power grid short-term load prediction method |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103346563A (en) * | 2013-07-15 | 2013-10-09 | 国家电网公司 | Method for evaluating maximum permeability of distributed generation based on time scene access analysis |
| CN103488820A (en) * | 2013-09-03 | 2014-01-01 | 国家电网公司 | Distributed power source planning method based on long-process time sequence simulation |
-
2019
- 2019-03-01 CN CN201910153916.3A patent/CN111641204B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103346563A (en) * | 2013-07-15 | 2013-10-09 | 国家电网公司 | Method for evaluating maximum permeability of distributed generation based on time scene access analysis |
| CN103488820A (en) * | 2013-09-03 | 2014-01-01 | 国家电网公司 | Distributed power source planning method based on long-process time sequence simulation |
Non-Patent Citations (1)
| Title |
|---|
| 分布式电源的准入容量与优化布置的实用方法;文升;顾洁;程浩忠;陈彬;张功林;;电力自动化设备;第32卷(第10期);第109-114页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111641204A (en) | 2020-09-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Kordkheili et al. | Determining maximum photovoltaic penetration in a distribution grid considering grid operation limits | |
| CN110896231B (en) | Distributed photovoltaic capacity receiving calculation method and system for power distribution network in poverty alleviation area | |
| Ehsan et al. | Active distribution system reinforcement planning with EV charging stations–Part II: Numerical results | |
| Wang et al. | Impact of the pv location in distribution networks on network power losses and voltage fluctuations with pso analysis | |
| Hatata et al. | Centralized control method for voltage coordination challenges with OLTC and D-STATCOM in smart distribution networks based IoT communication protocol | |
| CN105958535A (en) | Distributed power supply cluster control system and control method thereof | |
| CN111641204B (en) | Calculation method and device for distributed energy admission capacity | |
| CN111435788B (en) | Method and device for improving capacity of power distribution network for accommodating distributed power supply | |
| Abadi et al. | A combined central-local volt/VAR approach in distribution systems with high PV uptake | |
| CN111030160B (en) | Method and device for evaluating distributed power supply accepting capacity of power distribution network | |
| Wang et al. | Voltage Control Strategy of OLTC-Inverter in Distribution Transformer Area with High-proportion Residential Photovoltaics | |
| CN112736913A (en) | Method for analyzing influence factors of power optimization mode of power distribution network containing distributed power supply | |
| Xu et al. | Optimal sizing of small hydro power plants in consideration of voltage control | |
| Permana et al. | Impact of Photovoltaic Interconnection on Power Flow of Selayar Island Power System South Sulawesi | |
| CN105207249A (en) | Wind power plant constant power factor control system and control method thereof | |
| Cheng et al. | Weak Link Identification in Active Distribution Network Based on Probabilistic Load Flow | |
| Ahmadi et al. | Optimal Sizing and Sitting of Photovoltaic Distributed Generation Units Using PSO Algorithm | |
| Zhu et al. | An engineering applicable dynamic equivalent method for large-scale AC system connected to VSC-HVDC | |
| Kaushal et al. | A Review Article of Load Balancing in Higher Voltage Power Distribution | |
| Che et al. | Distribution network voltage control with high proportion of photovoltaic generation | |
| Chen et al. | Optimal planning of primary frequency regulation capacity of wind-storage combined systems | |
| Li et al. | Impact Analysis of Distributed Photovoltaic Access to Active Distribution Network with Different Permeability | |
| Xie et al. | Investment Strategy of Reactive Power Compensation Scheme in Wind Turbine Distribution Network Based on Optimal Allocation | |
| Xu et al. | Accommodation Capacity Evaluation of Distributed PV Considering Security Constraints of Feeders and Substation Areas | |
| CN110932306B (en) | Power grid voltage deviation constraint index apportionment method and system |
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 |