CN110932308A - Distributed power supply grid-connected capacity management system and management method - Google Patents
Distributed power supply grid-connected capacity management system and management method Download PDFInfo
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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- 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
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- 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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention discloses a distributed power supply grid-connected capacity management system and a distributed power supply grid-connected capacity management method. The operation mode of the power distribution network is changed through power distribution network reconstruction, the maximum capacity which can be accessed by the reconstructed distributed power source grid-connected node is obtained by adopting a heuristic method, and the consumption capacity of the power distribution network to the distributed power source and the maximum access capacity of the distributed power source are improved.
Description
Technical Field
The invention relates to the technical field of power distribution of a power grid, in particular to a distributed power grid-connected capacity management system and a management method.
Background
With the rapid development of renewable energy sources such as solar energy, wind energy and the like, the installed capacity of new energy sources in China has been far ahead in the world. However, new energy in some areas is limited by insufficient local storage space and capacity of outgoing channels, and thus, wind and light are abandoned. Meanwhile, the output of wind power and photovoltaic is greatly influenced by natural factors, so that the system has strong intermittence and randomness, large-scale access of the system easily causes impact on a power grid, safe and stable operation of the power grid is influenced, and higher requirements are provided for energy management and optimized dispatching of an active power distribution network. Therefore, how to improve the consumption capability of the power distribution network to the distributed power supply and the calculation of the maximum admittance capacity of the distributed power supply become problems which need to be solved urgently.
Disclosure of Invention
The invention aims to overcome the defects that renewable energy sources such as solar energy, wind energy and the like in the prior art are limited by insufficient local consumption space and capacity of an outgoing channel to cause energy waste and hidden troubles influencing safe and stable operation of a power grid exist, and provides a distributed power grid-connected capacity management system and a management method.
The purpose of the invention is realized by the following technical scheme:
the utility model provides a distributed generator capacity management system that is incorporated into power networks, including distributed generator information monitoring platform and distributed generator maximum consumption analysis module that is incorporated into power networks, distributed generator information monitoring platform includes data acquisition end and central processing unit, the data acquisition end is used for gathering the data of each node of distributed generator, central processing unit includes data acquisition module, data processing module and data transmission module, data acquisition module is connected the data that acquires the data acquisition end with the data acquisition end, data processing module is connected the data of processing data acquisition module with the data acquisition module, data transmission module is connected the data of sending data processing module with the data processing module, data transmission module and data acquisition module are connected with distributed generator maximum consumption analysis module simultaneously.
The distributed power supply maximum consumption analysis module establishes a model with the maximum distributed power supply consumption as a target function from constraint conditions of no voltage out-of-limit, no overload of power flow, guarantee of a radial network and the like, and adopts a power distribution network reconstruction method to greatly improve the consumption level of distributed power generation through power distribution network reconstruction when the current operation mode of a power distribution system is not enough to support the consumption of the distributed power supply. The maximum consumption of the distributed power supply in the power distribution system is the objective function, namely, the purpose of consuming the distributed power supply as much as possible is achieved under the condition that the safety constraint is met.
As a preferred scheme, the distributed power supply grid-connected information monitoring platform further comprises a platform monitoring end, and the platform monitoring end is further connected with the central processing unit. The platform monitoring end comprises a distributed power supply overview display monitoring module and a distributed power supply detail display monitoring module, wherein the distributed power supply overview display monitoring module is used for displaying and monitoring overview information of the distributed power supply, and the distributed power supply detail display monitoring module is used for displaying and monitoring power supply list information of a village and town area of the distributed power supply.
As a preferred scheme, the data acquisition end comprises an electricity acquisition system, a public power distribution detection system and an SCADA system, and the electricity acquisition system, the public power distribution detection system and the SCADA system are simultaneously connected with a data acquisition module of the central processing unit.
An scada (supervisory Control And Data acquisition) system, i.e. a Data acquisition And monitoring Control system. The SCADA system is a DCS and electric power automatic monitoring system based on a computer.
A distributed power supply grid-connected capacity management method is based on a distributed power supply grid-connected capacity management system and comprises the following steps:
step 1, starting a system to operate;
step 2, the central processing unit collects power grid parameters of each node and grid-connected parameters of the distributed power supply from the data collection processor;
and 3, setting constraint conditions by the maximum distributed power consumption analysis module, establishing a model with the maximum distributed power consumption as a target function, and improving the consumption level of distributed power generation through power distribution network reconstruction when the current operation mode of the power distribution system is not enough to support the consumption of the distributed power.
As a preferred scheme, step 3 specifically comprises:
the distributed power supply maximum direct marketing module acquires power grid parameters of each node and grid-connected parameters of the distributed power supply;
step 2, calculating whether the maximum amount of the distributed power supply consumption meets the constraint condition or not by the distributed power supply maximum direct selling module by adopting a MatPower flow calculation method, calculating a target function of the maximum amount of the distributed power supply consumption, then increasing the access capacity of the distributed power supply by adopting a heuristic method, and then continuously calculating whether the maximum amount of the distributed power supply consumption meets the first constraint condition or not by adopting the MatPower flow calculation method; if the first constraint condition is not met, reconstructing the power distribution network, calculating whether the maximum amount of the distributed power supply consumption meets the constraint condition or not by adopting a MatPower flow calculation method through a maximum direct sales module of the distributed power supply, if the second constraint condition is met, calculating a target function of the maximum amount of the distributed power supply consumption, then increasing the access capacity of the distributed power supply by adopting a heuristic method, and then continuously calculating whether the maximum amount of the distributed power supply consumption meets the second constraint condition or not by adopting a MatPower flow calculation method; if the second constraint condition is not met, jumping to substep 3;
and 3, outputting an objective function by the distributed power supply maximum direct selling module, wherein the objective function is the maximum value of the consumption of the distributed power supply.
As a preferred solution, the objective function is:
f＝maxPDG,i，
in the formula, PDG,iAccessing the active power of the distributed power supply to the ith node;
the constraint conditions comprise:
1) the radial structure of the power distribution network is maintained: the reconstructed network topology must be kept radial;
2) and (3) restraining a power flow equation:
in the formula: pi、QiRespectively the active injection power and the reactive injection power of the node i; u shapeiIs the voltage amplitude of node i; thetaijIs the voltage phase angle; gij,BijBranch conductance and susceptance respectively;
3) and power balance constraint:
in the formula: ps、QsBalancing the injected power of the nodes; pDi、QDiActive power and reactive power injected for the ith DG; pLoad、QLoadIs the total load of the system; pLoss、QLossThe total network loss of the system;
4) node voltage constraint:
Uimin≤Ui≤Uimax。
in the formula: u shapeiIs the voltage amplitude of node i; u shapeimin、UimaxThe maximum voltage allowable value and the minimum voltage allowable value of the ith node are respectively;
5) and (3) line power flow constraint:
Sl≤Slmax，
in the formula: slIs the apparent power through line l, and Slmax is the maximum apparent power through line l;
after the distributed power supply is connected to the grid, the node voltage changes, and the line power flow changes, so that the line power flow must be controlled within a reasonable range.
6) And (3) output constraint of the distributed power supply:
PDG,i≤PDG,i,max，
in the formula: pDG,i,maxThe maximum active power of the ith node accessed to the distributed power supply.
The method has the advantages that the operation mode of the power distribution network is changed through power distribution network reconstruction, the maximum capacity which can be accessed by the reconstructed distributed power supply grid-connected node is obtained by adopting a heuristic method, and the consumption capacity of the power distribution network to the distributed power supply and the maximum access capacity of the distributed power supply are improved.
Drawings
FIG. 1 is a block diagram of a circuit connection of the present invention.
Wherein: 1. distributed power grid-connected information monitoring platform, 2, distributed power supply maximum consumption analysis module, 11, data acquisition end, 12, central processing unit, 13, platform monitoring end, 111, power consumption acquisition system, 112, power supply and distribution detection system, 113, SCADA system, 121, data acquisition module, 122, data processing module, 123 and data transmission module.
Detailed Description
The invention is further described below with reference to the figures and examples.
The embodiment of the invention relates to a distributed power grid-connected capacity management system and a management method, as shown in fig. 1, the system comprises a distributed power grid-connected information monitoring platform 1 and a distributed power maximum consumption analysis module 2, the distributed power grid-connected information monitoring platform comprises a data acquisition end 11 and a central processing unit 12, the data acquisition end is used for acquiring data of each node of a distributed power supply, the central processing unit comprises a data acquisition module 121, the data acquisition module is connected with the data acquisition end to acquire data of the data acquisition end, the data processing module is connected with the data acquisition module to process the data of the data acquisition module, the data transmission module is connected with the data processing module to transmit the data of the data processing module, and the data transmission module and the data acquisition module are simultaneously connected with the maximum consumption analysis module of the distributed power supply. The distributed power grid-connected information monitoring platform further comprises a platform monitoring end 13, and the platform monitoring end is further connected with the central processing unit. The data acquisition end comprises a power consumption acquisition system 111, a public power distribution detection system 112 and an SCADA system 113, and the power consumption acquisition system, the public power distribution detection system and the SCADA system are simultaneously connected with a data acquisition module of the central processing unit.
A distributed power supply grid-connected capacity management method is based on a distributed power supply grid-connected capacity management system and is characterized by comprising the following steps:
step 1, starting a system to operate;
step 2, the central processing unit collects power grid parameters of each node and grid-connected parameters of the distributed power supply from the data collection processor;
and 3, setting constraint conditions by the maximum distributed power consumption analysis module, establishing a model with the maximum distributed power consumption as a target function, and improving the consumption level of distributed power generation through power distribution network reconstruction when the current operation mode of the power distribution system is not enough to support the consumption of the distributed power.
The step 3 specifically comprises the following steps:
the distributed power supply maximum direct marketing module acquires power grid parameters of each node and grid-connected parameters of the distributed power supply;
step 2, calculating whether the maximum amount of the distributed power supply consumption meets the constraint condition or not by the distributed power supply maximum direct selling module by adopting a MatPower flow calculation method, calculating a target function of the maximum amount of the distributed power supply consumption, then increasing the access capacity of the distributed power supply by adopting a heuristic method, and then continuously calculating whether the maximum amount of the distributed power supply consumption meets the first constraint condition or not by adopting the MatPower flow calculation method; if the first constraint condition is not met, reconstructing the power distribution network, calculating whether the maximum amount of the distributed power supply consumption meets the constraint condition or not by adopting a MatPower flow calculation method through a maximum direct sales module of the distributed power supply, if the second constraint condition is met, calculating a target function of the maximum amount of the distributed power supply consumption, then increasing the access capacity of the distributed power supply by adopting a heuristic method, and then continuously calculating whether the maximum amount of the distributed power supply consumption meets the second constraint condition or not by adopting a MatPower flow calculation method; if the second constraint condition is not met, jumping to substep 3;
and 3, outputting an objective function by the distributed power supply maximum direct selling module, wherein the objective function is the maximum value of the consumption of the distributed power supply.
The objective function is as follows:
f＝maxPDG,i，
in the formula, PDG,iAccessing the active power of the distributed power supply to the ith node;
the constraint conditions comprise:
1) the radial structure of the power distribution network is maintained: the reconstructed network topology must be kept radial;
2) and (3) restraining a power flow equation:
in the formula: pi and Qi are respectively the active injection power and the reactive injection power of the node i; ui is the voltage amplitude of the node i; thetaijIs the voltage phase angle; gij,BijBranch conductance and susceptance respectively;
3) and power balance constraint:
in the formula: ps、QsBalancing the injected power of the nodes; pDi、QDiActive power and reactive power injected for the ith DG; pLoad、QLoadIs the total load of the system; pLoss、QLossThe total network loss of the system;
4) node voltage constraint:
Uimin≤Ui≤Uimax。
in the formula: u shapeiIs the voltage amplitude of node i; u shapeimin、UimaxThe maximum voltage allowable value and the minimum voltage allowable value of the ith node are respectively;
5) and (3) line power flow constraint:
Sl≤Slmax，
in the formula: slIs the apparent power through line l, and Slmax is the maximum apparent power through line l;
6) and (3) output constraint of the distributed power supply:
PDG,i≤PDG,i,max，
in the formula: pDG,i,maxThe maximum active power of the ith node accessed to the distributed power supply.
Claims (6)
1. The utility model provides a distributed generator capacity management system that is incorporated into power networks, which is characterized by, including distributed generator information monitoring platform and distributed generator maximum consumption analysis module that is incorporated into power networks, distributed generator information monitoring platform includes data acquisition end and central processing unit, the data acquisition end is used for gathering the data of each node of distributed generator, central processing unit includes data acquisition module, data processing module and data sending module, data acquisition module is connected with the data acquisition end and is acquireed the data of data acquisition end, data processing module is connected the data of processing data acquisition module with the data acquisition module, data sending module is connected the data of sending data processing module with the data processing module, data sending module and data acquisition module are connected with distributed generator maximum consumption analysis module simultaneously.
2. The distributed power grid-connected capacity management system according to claim 1, wherein the distributed power grid-connected information monitoring platform further comprises a platform monitoring terminal, and the platform monitoring terminal is further connected with the central processing unit.
3. The distributed power grid-connected capacity management system according to claim 1 or 2, wherein the data acquisition end comprises a power consumption acquisition system, a public power distribution detection system and an SCADA system, and the power consumption acquisition system, the public power distribution detection system and the SCADA system are simultaneously connected with a data acquisition module of the central processing unit.
4. A distributed power supply grid-connected capacity management method is based on a distributed power supply grid-connected capacity management system and is characterized by comprising the following steps:
step 1, starting a system to operate;
step 2, the central processing unit collects power grid parameters of each node and grid-connected parameters of the distributed power supply from the data collection processor;
and 3, setting constraint conditions by the maximum distributed power consumption analysis module, establishing a model with the maximum distributed power consumption as a target function, and improving the consumption level of distributed power generation through power distribution network reconstruction when the current operation mode of the power distribution system is not enough to support the consumption of the distributed power.
5. The distributed power supply grid-connected capacity management method according to claim 4, wherein the step 3 specifically comprises:
the distributed power supply maximum direct marketing module acquires power grid parameters of each node and grid-connected parameters of the distributed power supply;
step 2, calculating whether the maximum amount of the distributed power supply consumption meets the constraint condition or not by the distributed power supply maximum direct selling module by adopting a MatPower flow calculation method, calculating a target function of the maximum amount of the distributed power supply consumption, then increasing the access capacity of the distributed power supply by adopting a heuristic method, and then continuously calculating whether the maximum amount of the distributed power supply consumption meets the first constraint condition or not by adopting the MatPower flow calculation method; if the first constraint condition is not met, reconstructing the power distribution network, calculating whether the maximum amount of the distributed power supply consumption meets the constraint condition or not by adopting a MatPower flow calculation method through a maximum direct sales module of the distributed power supply, if the second constraint condition is met, calculating a target function of the maximum amount of the distributed power supply consumption, then increasing the access capacity of the distributed power supply by adopting a heuristic method, and then continuously calculating whether the maximum amount of the distributed power supply consumption meets the second constraint condition or not by adopting a MatPower flow calculation method; if the second constraint condition is not met, jumping to substep 3;
and 3, outputting an objective function by the distributed power supply maximum direct selling module, wherein the objective function appoints the maximum value of the consumption of the distributed power supply.
6. The distributed power grid-connected capacity management method according to claim 5, wherein the objective function is as follows:
f＝maxPDG,i，
in the formula, PDG,iAccessing the active power of the distributed power supply to the ith node;
the constraint conditions comprise:
1) the radial structure of the power distribution network is maintained: the reconstructed network topology must be kept radial;
2) and (3) restraining a power flow equation:
in the formula: pi、QiRespectively the active injection power and the reactive injection power of the node i; u shapeiIs the voltage amplitude of node i; thetaijIs the voltage phase angle; gij,BijBranch conductance and susceptance respectively;
3) and power balance constraint:
in the formula: ps、QsBalancing the injected power of the nodes; pDi、QDiActive power and reactive power injected for the ith DG; pLoad、QLoadIs the total load of the system; pLoss、QLossThe total network loss of the system;
4) node voltage constraint:
Uimin≤Ui≤Uimax。
in the formula: u shapeiIs the voltage amplitude of node i; u shapeimin、UimaxThe maximum voltage allowable value and the minimum voltage allowable value of the ith node are respectively;
5) and (3) line power flow constraint:
Sl≤Slmax，
in the formula: slIs the apparent power through line l, and Slmax is the maximum apparent power through line l;
6) and (3) output constraint of the distributed power supply:
PDG,i≤PDG,i,max，
in the formula: pDG,i,maxThe maximum active power of the ith node accessed to the distributed power supply.
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| TWI790743B (en) * | 2021-09-14 | 2023-01-21 | 台灣電力股份有限公司 | Calculation method of grid-connectable capacity of feeder |
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