CN110247435B - Power distribution network blocking scheduling method - Google Patents

Power distribution network blocking scheduling method Download PDF

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CN110247435B
CN110247435B CN201910645167.6A CN201910645167A CN110247435B CN 110247435 B CN110247435 B CN 110247435B CN 201910645167 A CN201910645167 A CN 201910645167A CN 110247435 B CN110247435 B CN 110247435B
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胡洋
马溪原
周长城
田兵
袁智勇
雷金勇
罗俊平
丁士
黄安迪
练依情
郭祚刚
谈赢杰
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China Southern Power Grid Co Ltd
Research Institute of Southern Power Grid Co Ltd
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Abstract

The application discloses a power distribution network blocking scheduling method, which is applied to a central controller of a multi-energy system and comprises the steps of obtaining system information, load requirements and energy market information of the multi-energy system; performing target optimization according to system information, load demand and energy market information under constraint conditions to determine equipment output and interactive power information of the multi-energy system, and reporting the interactive power information to a power distribution network dispatching center; and receiving safety constraint information sent by the distribution network dispatching center when the distribution network is blocked and judging the existence of the interactive power information and the node information of each node under the distribution network, and performing target optimization according to the safety constraint information to obtain the corresponding equipment output. The method can effectively solve the problem of reverse blocking of the power distribution network while realizing cascade utilization of energy. The application also discloses a power distribution network congestion scheduling method applied to the power distribution network scheduling center, a central controller and the power distribution network scheduling center, and the power distribution network congestion scheduling method, the central controller and the power distribution network scheduling center have the technical effects.

Description

Power distribution network blocking scheduling method
Technical Field
The application relates to the technical field of electric power, in particular to a power distribution network blocking scheduling method applied to a central controller of a multi-energy system; the utility model also relates to a distribution network blockage scheduling method, a central controller and a distribution network scheduling center which are applied to the distribution network scheduling center of the distribution network.
Background
With the development of economy and science and technology, fossil energy is increasingly exhausted, and power systems face double pressure of energy shortage and environmental pollution. In this context, renewable energy sources are the key to solving the above-mentioned problems. However, the output of renewable energy sources has the defects of intermittency, discontinuity and the like, and the traditional power structure is difficult to realize large-scale consumption. The optimization scheme without constraints, guidance or only considering economy can cause the blockage of the power distribution network, reduce the consumption proportion of renewable energy sources and cause a great deal of resource waste.
At present, in the technical scheme aiming at the blocking of the power distribution network, on one hand, the forward blocking of the power distribution network is considered, and on the other hand, a blocking management mechanism comprising a direct control method represented by network reconstruction, reactive power control and active power control and an indirect control method for realizing the blocking management through a price and market mechanism is formed aiming at a single-energy flow system. The management mechanism has the following defects:
1. only a single energy network is considered, light abandonment and wind abandonment can be caused, additional punishment items are generated, and cascade utilization of energy cannot be realized;
2. the method is limited to an electric automobile or a heating ventilation air conditioner as a blocking scheduling object, the type of the flexible resource is single, and the flexibility brought by the diversification of the load demands of consumers is not considered;
3. in terms of safety constraint, only one-direction power flow constraint is considered, and the problem of reverse blocking caused by local high-power backflow possibly caused by a high-proportion distributed power source in a power distribution network system is not fully considered.
Therefore, how to solve the above technical problems is a technical problem to be solved urgently by those skilled in the art.
Disclosure of Invention
The application aims to provide a power distribution network blocking scheduling method which is applied to a central controller of a multi-energy system and can effectively solve the problem of reverse blocking of a power distribution network while realizing cascade utilization of energy. Another objective of the present application is to provide a method for scheduling congestion of a power distribution network, which is applied to a power distribution network scheduling center, a central controller and a power distribution network scheduling center of a power distribution network, and all have the above technical effects.
In order to solve the above technical problem, the present application provides a power distribution network congestion scheduling method, which is applied to a central controller of a multi-energy system, and includes:
acquiring system information, load demand and energy market information of a multi-energy system;
performing target optimization according to the system information, the load demand and the energy market information under constraint conditions to determine the equipment output and the interactive power information of the multi-energy system, and reporting the interactive power information to a power distribution network dispatching center of a power distribution network;
and receiving safety constraint information which is sent by the power distribution network dispatching center when the power distribution network dispatching center carries out safety check based on the interactive power information and the node information of each node under the power distribution network and judges that the power distribution network is blocked, and carrying out target optimization according to the safety constraint information to obtain the corresponding equipment output.
Optionally, the multi-energy system includes the central controller, a distributed power supply, a ground source heat pump, a refrigerator, and a gas boiler.
Optionally, the performing target optimization according to the system information, the load demand, and the energy market information under the constraint condition to determine the device output and the interaction power information of the multi-energy system includes:
based on the system information, load demand and energy market information under constraints
Figure BDA0002133315000000021
Performing target optimization to determine the equipment output and interaction power information of the multi-energy system;
wherein, CΣIs the total cost of the multi-energy system; NT is the period of the scheduling period;
Figure BDA0002133315000000022
and
Figure BDA0002133315000000023
the electric energy interaction cost, the unit fuel cost and the energy waste cost of the multi-energy system h in the time period t are respectively.
Optionally, the constraint condition includes an energy balance constraint and a device operation constraint.
In order to solve the technical problem, the present application further provides a power distribution network congestion scheduling method, which is applied to a power distribution network scheduling center of a power distribution network, and includes:
receiving interactive power information determined by a central controller of the multi-energy system through target optimization according to system information, load requirements and energy market information of the multi-energy system under constraint conditions;
and performing safety check based on the interactive power information and node information of each node under the power distribution network to judge whether the power distribution network is blocked or not, and sending safety constraint information to each central controller when the power distribution network is blocked so that each central controller performs target optimization based on the safety constraint information to obtain corresponding equipment output.
Optionally, the performing security check based on the interaction power information and the node information of each node under the power distribution network to determine whether there is a power distribution network blockage includes:
calculating the line power of each power distribution network line based on the interactive power and the node information;
judging whether the line power exceeds a preset active power threshold value;
and if the line power exceeds the preset active power threshold value, the power distribution network is blocked.
In order to solve the above technical problem, the present application further provides a central controller, including:
a memory for storing a computer program;
a processor for implementing the steps of the method for scheduling congestion of a power distribution network according to any one of the above claims when executing said computer program.
In order to solve the technical problem, the present application further provides a power distribution network dispatching center, including:
a memory for storing a computer program;
a processor for implementing the steps of the method for scheduling congestion of a power distribution network as described above when executing the computer program.
The method for dispatching the blocking of the power distribution network applied to the multi-energy system comprises the steps of obtaining system information, load requirements and energy market information of the multi-energy system; performing target optimization according to the system information, the load demand and the energy market information under constraint conditions to determine the equipment output and the interactive power information of the multi-energy system, and reporting the interactive power information to a power distribution network dispatching center of a power distribution network; and receiving safety constraint information which is sent by the power distribution network dispatching center when the power distribution network dispatching center carries out safety check based on the interactive power information and the node information of each node under the power distribution network and judges that the power distribution network is blocked, and carrying out target optimization according to the safety constraint information to obtain the corresponding equipment output.
Therefore, the power distribution network congestion scheduling method provided by the application can realize cascade utilization of energy by constructing the multi-energy systems and connecting the multi-energy systems to the power distribution network, can fully utilize the time demand difference of cold, heat and electric loads to realize reasonable distribution of energy, and can stabilize power peaks. In addition, the central controller of each multifunctional system is in information interaction and mutual cooperation with the power distribution network dispatching center, so that the problem of reverse blocking of the power distribution network can be effectively solved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the prior art and the embodiments are briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic flowchart of a power distribution network congestion scheduling method applied to a central controller of a multi-energy system according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram of a multi-energy system provided by an embodiment of the present application;
fig. 3 is a schematic flowchart of a power distribution network congestion scheduling method applied to a power distribution network scheduling center of a power distribution network according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram of a power distribution branch power distribution provided in an embodiment of the present application;
FIG. 5 is a schematic diagram of a power distribution system architecture and resource distribution provided by an embodiment of the present application;
fig. 6 is a schematic diagram of another power distribution branch power distribution provided in the embodiment of the present application.
Detailed Description
The application aims to provide a power distribution network blocking scheduling method, and the problem of reverse blocking of a power distribution network is effectively solved while cascade utilization of energy is achieved.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, a schematic flow chart of a power distribution network congestion scheduling method applied to a central controller of a multi-energy system according to an embodiment of the present disclosure is shown; referring to fig. 1, the method for scheduling congestion of a power distribution network includes:
s101: acquiring system information, load demand and energy market information of a multi-energy system;
s102: performing target optimization according to system information, load requirements and energy market information under constraint conditions to determine equipment output and interactive power information of the multi-energy system, and reporting the interactive power information to a power distribution network dispatching center of a power distribution network;
s103: and receiving safety constraint information sent by the distribution network dispatching center when the distribution network is blocked and judging the existence of the interactive power information and the node information of each node under the distribution network, and performing target optimization according to the safety constraint information to obtain the corresponding equipment output.
Specifically, multipotency refers to various types of energy flows, such as heat energy flow, cold energy flow, electrical energy flow, and the like. As the name implies, a multi-energy system is a system comprising multiple types of energy flows, i.e. systems in which energy flows such as thermal energy flow, cold energy flow, electrical energy flow, etc. are coupled, converted, transmitted to each other. This application is with each multi-energy system access distribution network on the basis of constructing the multi-energy system to utilize the diversity of multi-energy system cold, hot, electric load demand to realize high proportion renewable energy and consume, alleviate distribution network reverse blocking.
In a specific embodiment, the multi-energy system includes a central controller, a distributed power source, a ground source heat pump, a refrigerator, and a gas boiler.
Specifically, referring to fig. 2 (referring to the SCC in the drawing, that is, the central controller), in this embodiment, by establishing a multi-energy system including a ground source heat pump, a refrigerator, and a gas boiler, the temporal demand difference of the cold, heat, and electrical loads is fully utilized, so as to achieve more reasonable distribution of energy, stabilize power spike, and reduce the capacity expansion demand of the power system. Specifically, the multi-energy system utilizes the existing power grid, natural gas grid and cold/heat pipe network for energy transmission and supply. Wherein the natural gas network does not take part in the energy conversion as part of the multi-energy system, but only as a fuel supplier. The distributed power supply has the advantages of being close to a load side, small in installed capacity, low in installation cost and the like, can independently supply power to users, and can coordinate a main network to provide electric energy for the users together. In this embodiment, the distributed energy mainly includes a photovoltaic power generation unit and a wind generating set, so that under the condition that the power generation powers of the photovoltaic power generation unit and the wind generating set are sufficient, the multi-energy system can generate power to meet the requirements of cold, heat and electric loads, and zero cost of primary energy and zero emission of pollutants are achieved.
The photovoltaic power generation unit reports the maximum output prediction information to the central controller, and the mathematical model is as follows:
Figure BDA0002133315000000051
Figure BDA0002133315000000052
wherein the content of the first and second substances,
Figure BDA0002133315000000053
and
Figure BDA0002133315000000054
the actual active output value, the predicted maximum output value and the output reduction (light abandoning amount) of the photovoltaic power generation unit of the multi-energy system h in the t-th time period are respectively.
The wind generating set adopts a wind power predicted value in a multi-energy system as input power, and reports the maximum output predicted information to the central controller, and the mathematical model is as follows:
Figure BDA0002133315000000055
Figure BDA0002133315000000056
wherein the content of the first and second substances,
Figure BDA0002133315000000057
and
Figure BDA0002133315000000058
and respectively representing the actual active power value, the predicted maximum output value and the output reduction (wind curtailment) of the wind generating set of the multi-energy system h in the t-th time period.
In consideration of the cost of the multi-energy system, the ground source heat pump with both electric refrigeration and electric heating is selected as a core element for energy conversion of the multi-energy system in the embodiment, which can convert electric energy into heat energy to meet the heat load requirement, mainly comprises heating, hot water and the like, and also can convert electric energy into cold energy to meet the cold load requirement, mainly comprises cold air and the like, so that the electric energy is converted into cold/heat energy through the ground source heat pump at the peak period of renewable energy output, and the supply of cold/heat load is ensured. The refrigerator can specifically select a lithium bromide absorption refrigerator and is matched with a gas boiler, the refrigerator works in a time period when the power consumption peak of a user is high and the output of the renewable energy source unit is insufficient, the forward power blockage of the power distribution network caused by the fact that the multi-energy system is connected into the power distribution network is avoided, and the energy supply pressure of the power distribution network is reduced. The mathematical model of the refrigerating capacity and the heating capacity of the ground source heat pump is as follows:
Figure BDA0002133315000000061
Figure BDA0002133315000000062
Figure BDA0002133315000000063
wherein the content of the first and second substances,
Figure BDA0002133315000000064
and
Figure BDA0002133315000000065
respectively inputting electric power, heating power and refrigerating power of a ground source heat pump of the multi-energy system h in the t time period;
Figure BDA0002133315000000066
and
Figure BDA0002133315000000067
the performance coefficients (also called energy efficiency ratio) of the ground source heat pump heating and the ground source heat pump refrigerating are respectively; pgshp,minAnd Pgshp,maxRespectively the upper limit and the lower limit of the output of the ground source heat pump.
During the peak period of the load of the power distribution network or the valley period of the output of renewable energy, when the electricity price is greater than the unit power cost gas price of the gas boiler, the load of the power distribution network is reduced for guaranteeing heat supply, and the situation that the forward power of the power distribution network is blocked due to the fact that the multifunctional system is connected into the power distribution network is prevented, and the gas boiler bears the heat load at the moment. The heat quantity generated by the gas boiler is related to the fuel quantity and the boiler efficiency, and the mathematical model is as follows:
Figure BDA0002133315000000068
Figure BDA0002133315000000069
wherein the content of the first and second substances,
Figure BDA00021333150000000610
Hgb,minand Hgb,maxRespectively heating power and upper and lower limits of the gas boiler in the t time period of the multi-energy system h;
Figure BDA00021333150000000611
the gas quantity consumed by the gas boiler in delta t time; etagbThe heat efficiency of the gas boiler; Δ t is the sampling time interval of each scheduling period; l isNGThe low-grade heat value of the natural gas is generally 9.7kW·h/m3。
In the peak period of the load of the power distribution network or the valley period of the output of the renewable energy, when the cold load can not be completely supplied by the ground source heat pump through energy conversion, in order to ensure the cold supply, the lithium bromide absorption refrigerator bears the cold load, and the mathematical model is as follows:
Figure BDA00021333150000000612
Figure BDA00021333150000000613
wherein the content of the first and second substances,
Figure BDA00021333150000000614
and
Figure BDA00021333150000000615
respectively outputting refrigeration power and thermal power for refrigeration input by a lithium bromide absorption refrigerator in the multi-functional system h at the t-th time period; clbar,minAnd Clbar,maxThe upper limit and the lower limit of the refrigeration power of the lithium bromide absorption refrigerator are respectively set;
Figure BDA0002133315000000071
the performance coefficient of refrigeration of the lithium bromide absorption refrigerator.
The central controller is responsible for energy management of the multi-energy systems, and each multi-energy system is provided with one central controller. The central controller determines the power output, the energy waste proportion, the fuel purchase amount and the exchange power at the public connection point of the distributed power supply under various constraints, exchanges energy information with the distribution network dispatching center and transmits the exchange power information. Specifically, the central controller obtains system information, load demand, and energy market information for the multi-energy system. The system information of the multifunctional system comprises whether equipment in the multifunctional system works, the conversion function of the equipment and the like; the energy market information comprises electricity price, gas price and the like; load demands include cold demands, heat demands, and electrical demands. And on the basis of obtaining the system information, the load demand and the energy market information, the central controller further performs target optimization according to the system information, the load demand and the energy market information under the constraint condition to determine the equipment output, the interactive power information, the fuel purchase quantity and the like, and reports the interactive power information to a power distribution network dispatching center of a power distribution network. Wherein, the interactive power information refers to the power which is needed by the multi-energy system and purchased from the power grid or the power which can be sold by the multi-energy system. Specifically, when the power production and consumption in the multi-energy system are unbalanced, the central controller reports the unbalanced power to the distribution network dispatching center, so that the multi-energy system participates in the daily power market transaction, insufficient electric energy is obtained by buying electricity from the power grid, the rest electric energy can be sold to the power grid, and the electric power balance can be achieved through the energy interaction between the multi-energy system and the distribution network. The interaction energy of each multi-energy system and the power distribution network is as follows:
Figure BDA0002133315000000072
wherein:
Figure BDA0002133315000000073
is shown astTime period multifunctional systemhPower interacting with the grid;
Figure BDA0002133315000000074
is a multi-energy systemhThe conventional electrical load.
After the central controller reports the interactive power information, the power distribution network dispatching center carries out safety check to judge whether the power distribution network is blocked or not based on the interactive power information and node information of each node under the power distribution network, and if the power distribution network is not blocked, no processing is carried out. On the contrary, if the power distribution network is blocked, safety constraint information is sent to the system central controllers of all the multifunctional systems, so that all the system central controllers carry out target optimization again, and the output and the cost of the equipment meeting the safety check are obtained. The safety constraint information is the information about the upper limit of power that the multi-energy system can buy or sell.
In one specific embodiment, the constraints include energy balance constraints and equipment operation constraints. Specifically, the equipment constraints are mathematical models of the equipment (ground source heat pump, gas boiler, etc.) in the multi-energy system, and the energy balance constraints mainly include cold and heat load balance constraints, which are expressed as follows:
Figure BDA0002133315000000081
Figure BDA0002133315000000082
further, in a specific embodiment, the above-mentioned determining the device output and the interactive power information of the multi-energy system based on the system information, the load demand and the energy market information under the constraint conditions for the target optimization according to the system information, the load demand and the energy market information under the constraint conditions comprises determining the interactive power information of the multi-energy system based on the system information, the load demand and the energy market information under the constraint conditions
Figure BDA0002133315000000083
Performing target optimization to determine the equipment output and interactive power information of the multi-energy system; wherein, CΣThe total cost of the multi-energy system;NTa period that is a scheduling period;
Figure BDA0002133315000000084
and
Figure BDA0002133315000000085
are respectively astMultifunctional system in time periodhThe cost of electric energy interaction, the cost of unit fuel and the cost of energy waste.
Specifically, in this embodiment, the optimization objective of the multi-energy system is to minimize the running cost of the multi-energy system. Therefore, under the optimization goal, the central controller is based on the system information, the load demand and the energy market information under the constraint condition
Figure BDA0002133315000000086
Performing target optimization to determine interactive power information; in addition, the central controller does not know the electricity price information of the next trading day before participating in the market clearing in the day ahead, and meanwhile, the electricity generation and utilization plan reported by the central controller influences the market clearing price. For this purpose, the present embodiment is achieved byyt＝ct+βptForecasting the clearing price; wherein yt is the price of the clear electricity on the market; ct and pt are respectively the day-ahead initial electricity price and the system active power demand of the predicted t time period; beta represents the sensitivity coefficient of the active demand to the node electricity price, and the sensitivity coefficient can be obtained by evaluating and predicting historical electricity price data. Thus, the market clearing price model is:
Figure BDA0002133315000000087
Figure BDA0002133315000000088
cost of electric energy interaction
Figure BDA0002133315000000089
When in use
Figure BDA00021333150000000810
When the system is running, the multi-energy system will obtain a profit by outputting electrical energy to the electricity market; when in use
Figure BDA00021333150000000811
The multi-energy system will be used to obtain electrical energy by paying the electricity market.
Unit fuel cost
Figure BDA00021333150000000812
Wherein, CgasThe price per cubic meter of natural gas.
In order to promote reasonable configuration and consumption of wind power and photovoltaic power generation units of a multi-energy system, energy waste cost caused by abandoned light and abandoned wind is considered
Figure BDA00021333150000000813
Wherein, CpvAnd CwtAnd punishment coefficients of light abandonment and wind abandonment of the multi-energy system are respectively.
In summary, the method for dispatching the blocking of the power distribution network provided by the application can realize the cascade utilization of energy by constructing the multi-energy systems and connecting the multi-energy systems to the power distribution network, can fully utilize the time demand difference of cold, heat and electric loads to realize the reasonable distribution of energy, and can stabilize power spikes. In addition, the central controller of each multifunctional system is in information interaction and mutual cooperation with the power distribution network dispatching center, so that the problem of reverse blocking of the power distribution network can be effectively solved.
Referring to fig. 3, a schematic flow chart of a power distribution network congestion scheduling method applied to a power distribution network scheduling center of a power distribution network according to an embodiment of the present disclosure is shown; referring to fig. 3, the method for scheduling congestion of a power distribution network includes:
s201: receiving interactive power information determined by a central controller of the multi-energy system through target optimization according to system information, load requirements and energy market information of the multi-energy system under constraint conditions;
s202: and performing safety check based on the interactive power information and node information of each node under the power distribution network to judge whether the power distribution network is blocked or not, and sending safety constraint information to each central controller when the power distribution network is blocked so that each central controller performs target optimization based on the safety constraint information to obtain corresponding equipment output.
Specifically, the distribution network is connected to a small wind farm, a power generation and transmission system and some conventional power loads which are not connected to the multi-energy system besides the multi-energy system. The power distribution network dispatching center receives the interactive power information reported by the central controllers of the multiple energy systems on the one hand, and can acquire and integrate node information of all nodes under the power distribution network on the other hand, wherein the node information comprises the nodes connected with the multiple energy systems and the nodes not connected with the multiple energy systems, and then safety check is carried out on the basis of the interactive power information and the node information of the nodes under the power distribution network to judge whether the power distribution network is blocked or not, and if the power distribution network is not blocked, no processing is carried out. On the contrary, if the power distribution network is blocked, safety constraint information is sent to the system central controllers of all the multifunctional systems, so that all the system central controllers carry out target optimization again, and the output and the cost of the equipment meeting the safety check are obtained. For the explanation of the multi-functional system and the central controller thereof in this embodiment, reference may be made to the above embodiments, which are not described herein again.
In a specific embodiment, the performing security check based on the interaction power information and the node information of each node under the power distribution network to determine whether the power distribution network is blocked includes calculating the line power of each power distribution network line based on the interaction power and the node information; judging whether the line power exceeds a preset active power threshold value; and if the line power exceeds a preset active power threshold value, the blocking of the power distribution network exists.
Specifically, in this embodiment, the power distribution network scheduling center performs security check, specifically performs security check based on line constraints, specifically calculates line power of each power distribution network line based on the interaction power and the node information; judging whether the line power exceeds a preset active power threshold value; and if the line power exceeds a preset active power threshold value, the blocking of the power distribution network exists. Wherein the above-mentioned line is constrained to
Figure BDA0002133315000000091
D is a direct current transmission transfer distribution factor which reflects the change of branch power flow caused by the change of node injection power;
Figure BDA0002133315000000101
injecting a power matrix for the total active power of each node in the t time period;
Figure BDA0002133315000000102
and
Figure BDA0002133315000000103
respectively, an upper limit and a lower limit of the active power allowed to flow through the line l.
In addition, because each node under the power distribution network is not connected with a multi-energy system,can be solved by
Figure BDA0002133315000000104
The net injected power of the node is obtained. Wherein E isj,hWhether the node is connected with a position matrix of the multi-energy system or not is judged;
Figure BDA0002133315000000105
the exchange power matrix for the multi-energy system and the distribution network is formed by each multi-energy system in each time period
Figure BDA0002133315000000106
Forming an NH multiplied by NT order matrix, wherein NH is the number of the multi-energy systems;
Figure BDA0002133315000000107
is an intermediate quantity matrix;
Figure BDA0002133315000000108
active power is injected into the net distribution network in the time period t;
Figure BDA0002133315000000109
is the power supply below the j node,
Figure BDA00021333150000001010
is the active demand under the j node. That is, when the node is connected with the multi-energy system, the net injected power is the interaction power of the multi-energy system and the power grid, and for the node which is not connected with the multi-energy system, the net injected power is the net active injected power of the node.
In summary, the method for dispatching the blocking of the power distribution network provided by the application can realize the cascade utilization of energy by constructing the multi-energy systems and connecting the multi-energy systems to the power distribution network, can fully utilize the time demand difference of cold, heat and electric loads to realize the reasonable distribution of energy, and can stabilize power spikes. In addition, the central controller of each multifunctional system is in information interaction and mutual cooperation with the power distribution network dispatching center, so that the problem of reverse blocking of the power distribution network can be effectively solved.
Further, the technical effects of the technical scheme provided by the application are verified through specific examples as follows:
the application selects an IEEE33 node standard power distribution system for example verification. The voltage class of system operation is 12.66kV, reference capacity is 10MVA, there are 32 branches in total, the starting node of the branch is the node close to the main network side, the number of the branch is equal to the number of its terminal node minus 1, for example: branch 1 is the branch to which nodes 1, 2 are connected; branch 18 is the branch to which nodes 2, 19 are connected. The minimum upper and lower limits of the power of the branch 1-7 is 3500kW, and the minimum upper and lower limits of the power of the rest branches is 3000 kW.
The prior art is adopted:
in typical winter, after a high-proportion renewable energy source is accessed to a single energy source system, namely a power grid, optimal scheduling is performed by taking the lowest energy cost of each user as a target, and the scheduling result of each branch power of a distribution network is shown in fig. 4. When considering a high proportion of renewable energy access of a single energy network with a purely economic goal, branch 1 (node 1-2) is 10: 00-13: the power reversal violation is severe at 00 hours, since both the photovoltaic and the fan will be exerting their power during the day, 12 at noon: near 00 hours, due to the fact that the illumination intensity is high, the photovoltaic power generation capacity is strongest, the output of the wind power plant is close to the maximum value at 11 hours in the morning, at the moment, the power supplied by the high-proportion distributed power supply cannot be absorbed only by conventional power loads, and the reverse blocking of the distribution network is caused. Meanwhile, the branch 1 is close to the main transformer, and as can be known from the PTDF, the load flow of the branch is related to the net injected power of each node under the distribution network, and is a main bearer of the load flow of the whole distribution network, so the branch is also a weak link of the distribution network, and the branch 1 is extremely easy to generate reverse blocking as long as individual nodes discharge intensively at certain moments.
By adopting the technical scheme:
the structure and resource distribution of the IEEE33 node power distribution system are shown in fig. 5 (the micro system in the drawing refers to a multi-energy system). In a typical winter day, the result of the optimized scheduling of the multi-energy system accessing the power distribution network in a cluster form is shown in fig. 6. Branch 1 was at 10 am: 00-13: at 00, although still in the reverse power peak period, its maximum reverse power is much smaller than the upper limit power of the distribution network reverse blocking because in 10: 00-13: when the power supply is 00 hours, the heat demand is newly increased by the nodes, the residual electric energy generated by the distributed power supply in the multi-energy system is converted through the ground source heat pump, the self heat demand is solved, the residual electric energy is consumed in the multi-energy system, and if the residual electric energy is interacted with the public network through the PCC, the residual electricity is generated and the income of surfing the Internet is generated.
It should be understood that fig. 4 to 6 are only display images of experimental results, and do not relate to the technical solution of the present application, and are not limited to the technical solution.
The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device, the apparatus and the computer-readable storage medium disclosed by the embodiments correspond to the method disclosed by the embodiments, so that the description is simple, and the relevant points can be referred to the description of the method.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The technical solutions provided by the present application are described in detail above. The principles and embodiments of the present application are explained herein using specific examples, which are provided only to help understand the method and the core idea of the present application. It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present application without departing from the principle of the present application, and such improvements and modifications also fall within the scope of the claims of the present application.

Claims (7)

1. A method for dispatching power distribution network congestion is characterized in that the method is applied to a central controller of a multi-energy system and comprises the following steps:
acquiring system information, load demand and energy market information of a multi-energy system; the multi-energy system comprises the central controller, a distributed power supply, a ground source heat pump, a refrigerator and a gas boiler;
performing target optimization according to the system information, the load demand and the energy market information under constraint conditions to determine the equipment output and the interactive power information of the multi-energy system, and reporting the interactive power information to a power distribution network dispatching center of a power distribution network;
receiving safety check information sent by the power distribution network dispatching center when the power distribution network dispatching center carries out safety check based on the interactive power information and node information of each node under the power distribution network and judges that the power distribution network is blocked, and carrying out target optimization according to the safety constraint information to obtain corresponding equipment output; the safety constraint information is upper limit information of power that the multi-energy system can buy or sell.
2. The method for scheduling congestion of a power distribution network according to claim 1, wherein the determining device output and interactive power information of the multi-energy system by performing target optimization according to the system information, the load demand and the energy market information under constraint conditions comprises:
based on the system information, load demand and energy market information under constraint conditionsIn that
Figure DEST_PATH_IMAGE002
Performing target optimization to determine the equipment output and interaction power information of the multi-energy system;
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE004
is the total cost of the multi-energy system;
Figure DEST_PATH_IMAGE006
a period that is a scheduling period;
Figure DEST_PATH_IMAGE008
、
Figure DEST_PATH_IMAGE010
and
Figure DEST_PATH_IMAGE012
are respectively as
Figure DEST_PATH_IMAGE014
Multifunctional system in time period
Figure DEST_PATH_IMAGE016
The cost of electric energy interaction, the cost of unit fuel and the cost of energy waste.
3. The method according to claim 2, wherein the constraints comprise energy balance constraints and equipment operation constraints.
4. A power distribution network blocking scheduling method is characterized in that a power distribution network scheduling center applied to a power distribution network comprises the following steps:
receiving interactive power information determined by a central controller of the multi-energy system through target optimization according to system information, load requirements and energy market information of the multi-energy system under constraint conditions; the multi-energy system comprises the central controller, a distributed power supply, a ground source heat pump, a refrigerator and a gas boiler;
performing safety check on the basis of the interactive power information and node information of each node under the power distribution network to judge whether the power distribution network is blocked or not, and sending safety constraint information to each central controller when the power distribution network is blocked so that each central controller performs target optimization on the basis of the safety constraint information to obtain corresponding equipment output; the safety constraint information is upper limit information of power that the multi-energy system can buy or sell.
5. The method for scheduling congestion of a power distribution network according to claim 4, wherein the performing security check based on the interactive power information and node information of each node in the power distribution network to determine whether congestion of the power distribution network exists comprises:
calculating the line power of each power distribution network line based on the interactive power and the node information;
judging whether the line power exceeds a preset active power threshold value;
and if the line power exceeds the preset active power threshold value, the power distribution network is blocked.
6. A central controller, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the method of power distribution network congestion scheduling according to any of claims 1 to 3 when executing said computer program.
7. A distribution network dispatch center, comprising:
a memory for storing a computer program;
processor for implementing the steps of the method for power distribution network congestion scheduling according to claim 4 or 5 when executing said computer program.
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