CN112865088B - Double-layer optimal scheduling method for power distribution network - Google Patents
Double-layer optimal scheduling method for power distribution network Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/28—The renewable source being wind energy
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/40—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
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Abstract
The invention relates to the technical field of power distribution network scheduling, in particular to a power distribution network double-layer optimal scheduling method, which is used for constructing the association relation among weather data parameters, working condition parameters of a renewable energy power generation system and renewable energy output values based on historical weather data parameters, working condition parameters of the renewable energy power generation system and corresponding output values of the renewable energy power generation system; constructing an upper-layer scheduling optimization model based on the association relation between the weather data parameters, the working condition parameters of the renewable energy power generation system and the renewable energy output value; constructing a lower-layer scheduling optimization model based on the electricity demand of the current area, the scheduling parameter range of the power distribution network and the working condition parameter of the power distribution network; and based on the association relation between the renewable energy source output value and the power distribution network scheduling parameter, the fusion of the upper layer scheduling optimization model and the lower layer scheduling optimization model is realized, and the power distribution network double-layer scheduling model is obtained. The invention can realize the reasonable and safe joint scheduling of the power distribution network system and the renewable energy power generation system.
Description
Technical Field
The invention relates to the technical field of power distribution network scheduling, in particular to a power distribution network double-layer optimal scheduling method.
Background
With shortage of fossil energy and continuous deterioration of natural environment, renewable energy sources represented by wind power and photovoltaic have been rapidly developed, and the rate in power distribution networks has been gradually increased in recent years. How to coordinate various distributed energy sources, energy storage devices and active loads in an active power distribution network and effectively participate in the current power market, so that the voltage level of the power distribution network is improved, the running cost of the power distribution network is reduced, and the problem to be solved is urgent.
At present, a dispatching method of a power distribution network generally adopts an independent dispatching mode of the power distribution network and a renewable energy power generation system, local environment parameters, working condition parameters of the renewable energy power generation system, electricity utilization habit parameters and working condition parameters of the power distribution network are not considered, and a dispatching scheme has great blindness and can easily bring negative influence on safe and stable operation of the power distribution network.
Disclosure of Invention
The invention aims to provide a double-layer optimal scheduling method for a power distribution network, which can realize the joint reasonable and safe scheduling of a power distribution network system and a renewable energy power generation system.
In order to solve the technical problems, the invention provides a double-layer optimal scheduling method for a power distribution network, which comprises the following steps:
s11, constructing a correlation relationship among weather data parameters, working condition parameters of the renewable energy power generation system and output values of the renewable energy power generation system based on historical weather data parameters, working condition parameters of the renewable energy power generation system and the output values of the renewable energy power generation system;
s12, constructing an upper-layer scheduling optimization model based on the association relation between the weather data parameters, the working condition parameters of the renewable energy power generation system and the renewable energy output value;
s13, constructing a lower-layer dispatching optimization model based on the power consumption requirement of the current area, the dispatching parameter range of the power distribution network and the working condition parameter of the power distribution network;
s14, realizing fusion of an upper-layer dispatching optimization model and a lower-layer dispatching optimization model based on the association relation between the renewable energy source output value and the dispatching parameters of the power distribution network to obtain a double-layer dispatching model of the power distribution network; the objective function of the power distribution network double-layer scheduling model is the highest comprehensive benefit and the highest renewable energy annual absorption rate, and the constraint conditions of the power distribution network double-layer scheduling model comprise power distribution network operation constraint, power distribution network topology constraint, renewable energy operation constraint and weather constraint;
and S15, solving a double-layer scheduling model of the power distribution network by adopting a multi-group differential evolution algorithm to obtain an optimized scheduling scheme of the power distribution network.
Further, the electricity demand of the current area is obtained based on the historical electricity consumption habit of the current area, wherein the electricity demand comprises a time period interval, and the electricity demand and the electricity attribute demand of the interval.
Further, a monitoring algorithm for realizing the evaluation of the weather data parameters and the working condition parameters of the renewable energy power generation system is configured in the upper-layer dispatching optimization model, and when the weather data parameters and the working condition parameters of the renewable energy power generation system fall into a preset threshold, the emergency dispatching model is started, and the GSM early warning module is started to realize the transmission of the corresponding repair short message.
Further, an algorithm for realizing the evaluation of the working condition parameters of the power distribution network is configured in the lower-layer dispatching optimization model, when the working condition parameters of the power distribution network fall into a preset threshold, the emergency dispatching model is started, and the GSM early warning module is started, so that the sending of the corresponding repair short message is realized.
Further, the emergency scheduling model is used for generating an emergency scheduling method, the upper scheduling optimization model and the lower scheduling optimization model are fused, the objective function is the highest comprehensive benefit and the highest renewable energy annual absorption rate, and the constraint conditions of the power distribution network double-layer scheduling model comprise power distribution network operation constraint, power distribution network topology constraint, renewable energy operation constraint, power distribution network fault constraint of a certain area and renewable energy fault constraint of a certain area.
Further, the method further comprises the following steps:
and waking up the emergency dispatch model when the weather data parameters and/or the working condition parameters of the renewable energy power generation system and/or the working condition parameters of the power distribution network fall into a preset threshold.
Further, the method further comprises the following steps:
and realizing the fine adjustment of the power consumption requirement of the current area based on the special power consumption requirement of the current area in a certain time period.
The invention has the following beneficial effects:
1) The optimal design of the current area power distribution network scheduling scheme is carried out by adopting a power distribution network double-layer scheduling model obtained by combining an upper layer scheduling optimization model established based on the association relation of the weather data parameters, the working condition parameters of the renewable energy power generation system and the renewable energy output values and a lower layer scheduling optimization model established based on the power consumption requirement of the current area, the power distribution network scheduling parameter range and the working condition parameters of the power distribution network, the weather parameters of the current area, the working condition parameters of the renewable energy power generation system, the working condition parameters of the power distribution network, and the power consumption requirement parameters of the current area in different periods can be fully considered, so that blindness of the scheduling scheme can be well avoided, the power distribution network scheduling scheme is more in line with actual conditions, and the value and the safety maximization are realized.
2) The emergency scheduling method and the emergency scheduling system can timely find out abnormal parameters existing in the current weather data parameters and/or the working condition parameters of the renewable energy power generation system and/or the working condition parameters of the power distribution network, so that emergency scheduling is carried out, abnormal early warning is realized, and the running safety of the power distribution network is further improved.
3) The special electricity demand possibly faced by the current area is fully considered, and a corresponding power distribution network dispatching fine adjustment scheme is configured for the special electricity demand, so that the obtained power distribution network dispatching scheme meets the actual demand better.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required in the prior art and the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a first power distribution network double-layer optimization scheduling method provided by the invention;
fig. 2 is a flowchart of a second power distribution network double-layer optimization scheduling method provided by the invention;
fig. 3 is a flowchart of a third power distribution network double-layer optimization scheduling method provided by the invention.
Detailed Description
The core of the invention is to provide a double-layer optimal scheduling method for a power distribution network, which can realize the joint reasonable and safe scheduling of a power distribution network system and a renewable energy power generation system.
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.
As shown in fig. 1, fig. 1 is a flowchart of a first power distribution network double-layer optimization scheduling method provided by the invention, and the method includes the following steps:
s11, constructing a correlation relationship among weather data parameters, working condition parameters of the renewable energy power generation system and output values of the renewable energy power generation system based on historical weather data parameters, working condition parameters of the renewable energy power generation system and the output values of the renewable energy power generation system;
s12, constructing an upper-layer scheduling optimization model based on the association relation between the working condition parameters of the renewable energy power generation system and the renewable energy output value;
s13, constructing a lower-layer dispatching optimization model based on the power consumption requirement of the current area, the dispatching parameter range of the power distribution network and the working condition parameter of the power distribution network;
s14, realizing fusion of an upper-layer dispatching optimization model and a lower-layer dispatching optimization model based on the association relation between the renewable energy source output value and the dispatching parameters of the power distribution network to obtain a double-layer dispatching model of the power distribution network; the objective function of the power distribution network double-layer scheduling model is the highest comprehensive benefit and the highest renewable energy annual absorption rate, and the constraint conditions of the power distribution network double-layer scheduling model comprise power distribution network operation constraint, power distribution network topology constraint, renewable energy operation constraint and weather constraint;
and S15, solving a double-layer scheduling model of the power distribution network by adopting a multi-group differential evolution algorithm to obtain an optimized scheduling scheme of the power distribution network.
In this embodiment, the current power consumption requirement of the current area is obtained based on the current area historical power consumption habit, where the power consumption requirement includes a time period interval, and the power requirement and the power attribute requirement of the interval.
As shown in fig. 2, fig. 2 is a flowchart of a second power distribution network double-layer optimization scheduling method provided by the invention, where the method includes the following steps:
s21, constructing a correlation relationship among weather data parameters, working condition parameters of the renewable energy power generation system and output values of the renewable energy power generation system based on historical weather data parameters, working condition parameters of the renewable energy power generation system and corresponding output values of the renewable energy power generation system;
s22, constructing an upper-layer scheduling optimization model based on the association relation between the working condition parameters of the renewable energy power generation system and the renewable energy output value;
s23, constructing a lower-layer dispatching optimization model based on the power consumption requirement of the current area, the dispatching parameter range of the power distribution network and the working condition parameter of the power distribution network;
s24, based on the association relation between the renewable energy source output value and the power distribution network dispatching parameter, the fusion of the upper dispatching optimization model and the lower dispatching optimization model is realized, and a power distribution network double-layer dispatching model is obtained; the objective function of the power distribution network double-layer scheduling model is the highest comprehensive benefit and the highest renewable energy annual absorption rate, and the constraint conditions of the power distribution network double-layer scheduling model comprise power distribution network operation constraint, power distribution network topology constraint, renewable energy operation constraint and weather constraint;
s25, solving a double-layer scheduling model of the power distribution network by adopting a multi-group differential evolution algorithm to obtain an optimized scheduling scheme of the power distribution network;
s26, waking up the emergency dispatch model when the weather data parameter and/or the renewable energy power generation system working condition parameter and/or the power distribution network working condition parameter fall into a preset threshold.
In this embodiment, the current power consumption requirement of the current area is obtained based on the current area historical power consumption habit, where the power consumption requirement includes a time period interval, and the power requirement and the power attribute requirement of the interval.
In this embodiment, a monitoring algorithm for implementing evaluation of working condition parameters of a weather data parameter and a renewable energy power generation system is configured in an upper layer scheduling optimization model, and when the working condition parameters of the weather data parameter and the renewable energy power generation system fall into a preset threshold, an emergency scheduling model is started, and a GSM (global system for mobile communications ) early warning module is started, so that transmission of a corresponding repair message is implemented.
In this embodiment, an algorithm for implementing evaluation of working condition parameters of the power distribution network is configured in the lower-layer scheduling optimization model, and when the working condition parameters of the power distribution network fall into a preset threshold, the emergency scheduling model is started, and the GSM early warning module is started, so that transmission of corresponding repair messages is implemented.
In this embodiment, the emergency scheduling model is used to generate an emergency scheduling method, and by fusion of an upper scheduling optimization model and a lower scheduling optimization model, an objective function is the highest comprehensive benefit and the highest annual renewable energy consumption rate, and constraint conditions of the power distribution network double-layer scheduling model include power distribution network operation constraint, power distribution network topology constraint, renewable energy operation constraint, power distribution network fault constraint of a certain area and renewable energy fault constraint of a certain area.
As shown in fig. 3, fig. 3 is a flowchart of a third power distribution network double-layer optimization scheduling method provided by the invention, where the method includes the following steps:
s31, constructing a correlation relationship among weather data parameters, working condition parameters of the renewable energy power generation system and output values of the renewable energy power generation system based on historical weather data parameters, working condition parameters of the renewable energy power generation system and corresponding output values of the renewable energy power generation system;
s32, constructing an upper-layer scheduling optimization model based on the association relation between the working condition parameters of the renewable energy power generation system and the renewable energy output value;
s33, constructing a lower-layer dispatching optimization model based on the power consumption requirement of the current area, the dispatching parameter range of the power distribution network and the working condition parameter of the power distribution network;
s34, fusion of an upper-layer scheduling optimization model and a lower-layer scheduling optimization model is achieved based on the association relation between renewable energy output values and scheduling parameters of the power distribution network, and a double-layer scheduling model of the power distribution network is obtained; the objective function of the power distribution network double-layer scheduling model is the highest comprehensive benefit and the highest renewable energy annual absorption rate, and the constraint conditions of the power distribution network double-layer scheduling model comprise power distribution network operation constraint, power distribution network topology constraint, renewable energy operation constraint and weather constraint;
s35, solving a double-layer scheduling model of the power distribution network by adopting a multi-group differential evolution algorithm to obtain an optimized scheduling scheme of the power distribution network;
s36, fine adjustment of the power consumption requirement of the current area is achieved based on the special power consumption requirement of the current area in a certain time period, and therefore fine adjustment of a power distribution network scheduling scheme is achieved.
In this embodiment, the current power consumption requirement of the current area is obtained based on the current area historical power consumption habit, where the power consumption requirement includes a time period interval, and the power requirement and the power attribute requirement of the interval.
The foregoing describes specific embodiments of the present invention. It is to be understood that the invention is not limited to the particular embodiments described above, and that various changes or modifications may be made by those skilled in the art within the scope of the appended claims without affecting the spirit of the invention. The embodiments of the present application and features in the embodiments may be combined with each other arbitrarily without conflict.
It should also be noted that in this specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (2)
1. The double-layer optimal scheduling method for the power distribution network is characterized by comprising the following steps of:
s11, constructing a correlation relationship among weather data parameters, working condition parameters of the renewable energy power generation system and output values of the renewable energy power generation system based on historical weather data parameters, working condition parameters of the renewable energy power generation system and the output values of the renewable energy power generation system;
s12, constructing an upper-layer scheduling optimization model based on the association relation between the weather data parameters, the working condition parameters of the renewable energy power generation system and the renewable energy output value;
s13, constructing a lower-layer dispatching optimization model based on the power consumption requirement of the current area, the dispatching parameter range of the power distribution network and the working condition parameter of the power distribution network;
s14, realizing fusion of an upper-layer dispatching optimization model and a lower-layer dispatching optimization model based on the association relation between the renewable energy source output value and the dispatching parameters of the power distribution network to obtain a double-layer dispatching model of the power distribution network; the objective function of the power distribution network double-layer scheduling model is the highest comprehensive benefit and the highest renewable energy annual absorption rate, and the constraint conditions of the power distribution network double-layer scheduling model comprise power distribution network operation constraint, power distribution network topology constraint, renewable energy operation constraint and weather constraint;
s15, solving a double-layer scheduling model of the power distribution network by adopting a multi-group differential evolution algorithm to obtain an optimized scheduling scheme of the power distribution network;
acquiring the electricity consumption requirement of the current area based on the historical electricity consumption habit of the current area, wherein the electricity consumption requirement comprises a time period interval, and the electricity consumption requirement and the electricity attribute requirement of the interval;
the upper layer scheduling optimization model is internally provided with a monitoring algorithm for realizing the evaluation of weather data parameters and working condition parameters of the renewable energy power generation system, when the weather data parameters and the working condition parameters of the renewable energy power generation system fall into preset thresholds, the emergency scheduling model is started, and a GSM early warning module is started to realize the transmission of corresponding repair short messages;
and an algorithm for realizing the evaluation of the working condition parameters of the power distribution network is configured in the lower-layer dispatching optimization model, when the working condition parameters of the power distribution network fall into a preset threshold, the emergency dispatching model is started, and the GSM early warning module is started to realize the transmission of the corresponding repair short message.
2. The power distribution network double-layer optimization scheduling method according to claim 1, wherein the emergency scheduling model is used for generating an emergency scheduling method, and the fusion of the upper layer scheduling optimization model and the lower layer scheduling optimization model is performed, so that the objective function is the highest comprehensive efficiency and the highest renewable energy annual absorption rate, and the constraint conditions of the power distribution network double-layer scheduling model comprise power distribution network operation constraint, power distribution network topology constraint, renewable energy operation constraint, power distribution network fault constraint of a certain area and renewable energy fault constraint of a certain area.
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