CN116502849A - Low-energy-consumption building power distribution system planning method and system - Google Patents

Low-energy-consumption building power distribution system planning method and system Download PDF

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CN116502849A
CN116502849A CN202310476804.8A CN202310476804A CN116502849A CN 116502849 A CN116502849 A CN 116502849A CN 202310476804 A CN202310476804 A CN 202310476804A CN 116502849 A CN116502849 A CN 116502849A
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power distribution
building
distribution system
photovoltaic power
load
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李傲
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Chongqing Water Resources and Electric Engineering College
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
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Abstract

The invention discloses a low-energy-consumption building power distribution system planning method and a system, which relate to the technical field of low-energy-consumption building power distribution system planning and comprise the following steps: obtaining building functional characteristics, and estimating building load quantity, wherein the building functional characteristics comprise building geographic characteristics, user load characteristics and user distribution density; acquiring the node number of the building active power distribution system and the node number of the photovoltaic power distribution system, and establishing a building power distribution model by considering the fluctuation influence of building functional characteristics on photovoltaic power distribution; optimizing the node number of the photovoltaic power distribution system based on the building power distribution model and the building load capacity to obtain an optimal power distribution planning method; the photovoltaic power distribution system which can be built with the lowest cost is built while the building function requirement is met, so that the normal operation of the power distribution system can be met, and the purposes of energy conservation, emission reduction and cost reduction are achieved.

Description

Low-energy-consumption building power distribution system planning method and system
Technical Field
The invention relates to the technical field of low-energy-consumption building power distribution system planning, in particular to a low-energy-consumption building power distribution system planning method and system.
Background
Along with the deepening of urbanization and the continuous improvement of living standard of residents, the energy consumption of building operation is increased to 30% of the total social energy consumption. The design and popularization of ultra-low and near-zero energy consumption buildings and the like become urgent demands of society, people turn the eyes to emerging energy sources more to meet the low energy consumption demands, and photovoltaic power generation is one of them. The method has the advantages of inexhaustible energy, high safety, flexible design, small noise pollution and the like, and is rapid in development. The photovoltaic power supply has obvious fluctuation under the influence of illumination fluctuation, the fluctuation is large, so that the normal operation of a power system is influenced, the phenomena of poor power quality and low reliability of a power distribution network are easily caused, most of existing power distribution planning modes generally adopt a mode of establishing a planning model, the distributed photovoltaic power supply planning is solved by considering the limitation of voltage deviation and the quantity capacity of the distributed power supply, but the photovoltaic power supply is only treated as a stable linear model in the mode, the random output problem of the photovoltaic power supply is not considered, the model treatment result is different from the actual application result, the operation life of the power distribution system is reduced, the paving cost of the photovoltaic power supply is increased, the building cost investment is increased, and the normal operation of the building power distribution system is plagued.
Disclosure of Invention
In order to overcome the defects, the invention provides a planning method and a planning system for a low-energy building power distribution system, and the method and the system are characterized in that the positioning of the photovoltaic power distribution system in the whole building power supply and distribution system is obtained by considering the geographical characteristics of the building, the user load characteristics and the user distribution density, and the positioning of the photovoltaic power distribution system in the whole building power supply and distribution system is further based on a power distribution model and the building load quantity estimated by building function characteristics, so that the optimal design is carried out on the node quantity of the photovoltaic characteristics, and the photovoltaic power distribution system which can be built with the lowest cost is built while the building function requirements are met, so that the normal operation of the power distribution system is met, and the purposes of energy conservation, emission reduction and cost reduction are achieved.
In one aspect, a method for planning a low-energy-consumption building power distribution system is provided, including the following steps:
obtaining building functional characteristics, and estimating building load quantity, wherein the building functional characteristics comprise building geographic characteristics, user load characteristics and user distribution density;
acquiring the node number of the building active power distribution system and the node number of the photovoltaic power distribution system, and establishing a building power distribution model by considering the fluctuation influence of building functional characteristics on photovoltaic power distribution;
and optimizing the node number of the photovoltaic power distribution system based on the building power distribution model and the building load.
Preferably, the method for estimating building load adopts spatial load prediction when the building functional characteristics are obtained and the building load is estimated, and the specific steps of the spatial load prediction are as follows:
predicting the user load characteristics under the unit geographic position according to the user load characteristics and the user distribution density;
and according to the user load characteristics under the unit geographic position, combining the building geographic characteristics, and predicting the building load by adopting a space load prediction function.
Preferably, after the building power distribution model is built, optimization is further required according to preset power distribution constraint conditions, wherein the distributed constraint conditions comprise node constraint and branch constraint:
the node constraint is specifically shown as follows:
wherein n represents the number of nodes of the active power distribution system, m represents the number of nodes of the photovoltaic power distribution system, q max,i Represents the maximum output of the ith photovoltaic power distribution system at moment, q min,i Representing the minimum output of the ith photovoltaic power distribution system at the moment,the annual average acting time of the photovoltaic power distribution system is represented;
the branch constraint is specifically shown as follows:
wherein A represents rated capacity of a photovoltaic power distribution system, T plan The total duration of the planning period is represented, p represents the output power of the photovoltaic power distribution system, W act Representing the active power fluctuation value, W, of a photovoltaic power distribution system rea And the reactive power fluctuation value of the photovoltaic power distribution system is represented.
Preferably, the building power distribution model is represented by the following formula:
where H represents the building load, ρ represents the topology density of the photovoltaic power distribution system, and λ represents the safety factor of the photovoltaic power distribution system.
Preferably, when the node number of the photovoltaic power distribution system is optimized based on the building power distribution model and the building load capacity to obtain the optimal power distribution planning method, the method specifically further comprises the following steps:
work doing data and power data of the photovoltaic power supplies at any node are obtained, and association models corresponding to the photovoltaic power supplies at any two nodes are determined, wherein the association models are used for representing complementary relations of the two photovoltaic power supplies;
based on the building power distribution model and the association model, considering the tide influence, and integrating to obtain an optimal power distribution model;
and calculating the number of the optimal photovoltaic power supply access nodes based on the optimal power distribution model by considering the building load.
Preferably, when the optimal photovoltaic access point number is calculated, the method specifically comprises the following steps:
based on an optimal distribution model, considering comprehensive power measurement and active loss measurement corresponding to the number of photovoltaic power supply access nodes under the building load;
and sequentially comparing the comprehensive power measurement difference value and the active loss measurement difference value under various photovoltaic power supply access modes, and determining the optimal access node number of the photovoltaic power supply according to the comparison result.
In a second aspect, a low energy building power distribution system planning system is provided, comprising:
and the power distribution data monitoring module is used for: the node quantity of the active power distribution system and the node quantity of the photovoltaic power distribution system of the building are obtained;
building function characteristic acquisition module: the method is used for collecting the geographical characteristics of the building, the load characteristics of the users and the distribution density of the users;
and the power distribution planning management module is used for: the power distribution planning management module is used for estimating building load based on the obtained building functional characteristics; the method is used for establishing a building power distribution model based on the node number of the building active power distribution system and the node number of the photovoltaic power distribution system and considering the fluctuation influence of building functional characteristics on photovoltaic power distribution; the method is used for optimizing the node number of the photovoltaic power distribution system based on the building power distribution model and the building load.
As a preferred alternative to this,
the power distribution constraint condition is used for determining the value range of each optimal power distribution model.
In a third aspect, an electronic device is provided that includes a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the low energy building power distribution system planning method when executing the program.
In a fourth aspect, a non-transitory computer readable storage medium is provided, on which a computer program is stored, characterized in that the computer program, when executed by a processor, implements the low energy building power distribution system planning method.
The beneficial effects of the invention are as follows:
according to the invention, the operation of the photovoltaic power distribution system is influenced by the geographical characteristics of the building, the user load characteristics and the user distribution density, and the influence of the photovoltaic power distribution system is not linear and is difficult to solve by adopting a planning model according to the user load characteristics, so that the influence of fluctuation of the photovoltaic power distribution system in the power distribution system is considered according to the building function characteristics, the building power distribution model is built to seek the influence relation between the photovoltaic power distribution system and the building function characteristics, the positioning of the photovoltaic power distribution system in the whole building power supply and distribution system is obtained, the optimal design is further carried out on the node number of the photovoltaic characteristics based on the power distribution model and the building load estimated by the building function characteristics, the cost optimization based on the positioning of the photovoltaic power distribution system is realized, the building cost and the maintenance cost are higher because the photovoltaic power distribution system is not popularized at present, the optimal center of gravity of the node number is built, the photovoltaic power distribution system built with the lowest cost while the building function requirements are met, and the purposes of energy saving and emission reduction are achieved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. Like elements or portions are generally identified by like reference numerals throughout the several figures. In the drawings, elements or portions thereof are not necessarily drawn to scale.
FIG. 1 is a flow chart of a method for planning a low energy consumption building power distribution system provided by the invention;
fig. 2 is a flowchart of a low-energy-consumption building power distribution system planning method according to the present invention when an optimal power distribution planning method is obtained.
Detailed Description
Embodiments of the technical scheme of the present invention will be described in detail below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical aspects of the present invention, and thus are merely examples, and are not intended to limit the scope of the present invention.
It is noted that unless otherwise indicated, technical or scientific terms used herein should be given the ordinary meaning as understood by one of ordinary skill in the art to which this invention pertains.
In embodiment 1, as shown in fig. 1, a low-energy-consumption building power distribution system planning method includes the following steps:
obtaining building functional characteristics, and estimating building load quantity, wherein the building functional characteristics comprise building geographic characteristics, user load characteristics and user distribution density;
acquiring the node number of the building active power distribution system and the node number of the photovoltaic power distribution system, and establishing a building power distribution model by considering the fluctuation influence of building functional characteristics on photovoltaic power distribution;
and optimizing the node number of the photovoltaic power distribution system based on the building power distribution model and the building load.
In the scheme, the operation of the photovoltaic power distribution system is influenced by the geographical characteristics of a building, the user load characteristics and the user distribution density, the influence of the photovoltaic power distribution system is not linear and is difficult to solve by adopting a planning model according to the user load characteristics, so that the fluctuation influence of the photovoltaic power distribution system in the power distribution system is considered according to the building function characteristics, the building power distribution model is built to seek the influence relation between the photovoltaic power distribution system and the building function characteristics, the positioning of the photovoltaic power distribution system in the whole building power supply and distribution system is obtained, the optimal design is further carried out on the node number of the photovoltaic power distribution system based on the power distribution model and the building load estimated by the building function characteristics, the cost optimization based on the positioning of the photovoltaic power distribution system is realized, the construction cost and the maintenance cost of the photovoltaic power distribution system are higher because the photovoltaic power distribution system is not popularized at present, the optimal center of gravity of the node number is built, the photovoltaic power distribution system with the lowest cost can be built while the building function requirements are met, the normal operation of the power distribution system can be met, and the purposes of energy conservation and emission reduction are achieved.
More specifically, when the building functional characteristics are obtained and the building load quantity is estimated, the estimation method adopts spatial load prediction, and the spatial load prediction specifically comprises the following steps:
predicting the user load characteristics under the unit geographic position according to the user load characteristics and the user distribution density;
and according to the user load characteristics under the unit geographic position, combining the building geographic characteristics, and predicting the building load by adopting a space load prediction function.
The user load is characterized by the electricity consumption habit and the electricity consumption peak time of the user, such as the high-power continuous electricity consumption of the electricity consumption habit of a merchant, the electricity consumption time is mostly between 8 am and 10 pm, the electricity consumption peak is between 2 pm and 4 pm, the electricity consumption habit of resident households is low-power scattered electricity consumption, the electricity consumption time is mostly between 6 pm and 12 pm, the electricity consumption peak is between 8 pm and 10 pm, and the pressure brought by different electricity consumption habits and the electricity consumption peak to a system branch is also different, so that the system branch needs to be considered in various aspects;
the spatial load prediction and the calculation thereof have the following three mappings, and the objective function of the spatial load prediction is as follows:
wherein: mapping f 1 The features F (x, y) of the partitions (x, y) are mapped to land use areas S (x, y); mapping f 2 Mapping the land use area into a partition load L (x, y);
wherein: k is the number of land use classes; SC (SC) j Load density for class j; s is S j (x, y) and L j (x, y) represents the j-th land use area and load of the (x, y) partition, respectively.
Mapping f 3 Accumulating the partition load into a system load;
L＝f 3 (L xy )＝∑ x,y L xy
more specifically, after the building power distribution model is built, optimization is further required according to preset power distribution constraint conditions, wherein the distributed constraint conditions comprise node constraint and branch constraint:
the node constraint is specifically shown as follows:
wherein n represents the number of nodes of the active power distribution system, m represents the number of nodes of the photovoltaic power distribution system, q max,i Represents the maximum output of the ith photovoltaic power distribution system at moment, q min,i Representing the minimum output of the ith photovoltaic power distribution system at the moment,the annual average acting time of the photovoltaic power distribution system is represented;
the branch constraint is specifically shown as follows:
wherein A represents rated capacity of a photovoltaic power distribution system, T plan The total duration of the planning period is represented, p represents the output power of the photovoltaic power distribution system, W act Representing the active power fluctuation value, W, of a photovoltaic power distribution system rea And the reactive power fluctuation value of the photovoltaic power distribution system is represented.
Carrying out normalization processing on the output power of the photovoltaic power distribution system by adopting min-max standardization;
the normalization process is shown in the following formula:
wherein X i To normalize value X i For the sample value, X max For the maximum value of history, X min Is a historical minimum.
Because the output power time window length of the photovoltaic power distribution system is smaller, the data fluctuation is larger, if the standardized processing is not implemented, the whole result is offset by considering that part of extreme data can be offset, so that the output power of the photovoltaic power distribution system is normalized before being input into a building power distribution model, the extreme offset of the data is prevented, and the estimated load of a family can be ensured to be closer to the actual output power.
More specifically, the building power distribution model is shown as follows:
where H represents the building load, ρ represents the topology density of the photovoltaic power distribution system, and λ represents the safety factor of the photovoltaic power distribution system.
As shown in fig. 2, more specifically, when the node number of the photovoltaic power distribution system is optimized based on the building power distribution model and the building load, and the optimal power distribution planning method is obtained, the method specifically further includes the following steps:
work doing data and power data of the photovoltaic power supplies at any node are obtained, and association models corresponding to the photovoltaic power supplies at any two nodes are determined, wherein the association models are used for representing complementary relations of the two photovoltaic power supplies;
based on the building power distribution model and the association model, considering the tide influence, and integrating to obtain an optimal power distribution model;
and calculating the number of the optimal photovoltaic power supply access nodes based on the optimal power distribution model by considering the building load.
The influence of renewable energy power generation access to the active power distribution network is fully considered, the acceptance of the active power distribution network to renewable energy power generation is improved, and the problems of overvoltage, power reversal and the like of the system are effectively avoided.
More specifically, when the optimal photovoltaic access point number is calculated, the method specifically comprises the following steps:
based on an optimal distribution model, considering comprehensive power measurement and active loss measurement corresponding to the number of photovoltaic power supply access nodes under the building load;
and sequentially comparing the comprehensive power measurement difference value and the active loss measurement difference value under various photovoltaic power supply access modes, and determining the optimal access node number of the photovoltaic power supply according to the comparison result.
Obtaining a comprehensive power metric and a comprehensive active loss metric of each access estimation node; the preset geographical range is preferably a geographical range determined by considering the optimization cost, the construction cost of the renewable energy power station, the feasibility and other factors, so that the infeasible position of the renewable energy power station for actual construction is eliminated, the combination degree of simulation planning and actual construction is improved, and the feasibility of the planned scheme is improved.
In embodiment 2, a low energy building power distribution system planning system includes the following:
and the power distribution data monitoring module is used for: the node quantity of the active power distribution system and the node quantity of the photovoltaic power distribution system of the building are obtained;
building function characteristic acquisition module: the method is used for collecting the geographical characteristics of the building, the load characteristics of the users and the distribution density of the users;
and the power distribution planning management module is used for: the power distribution planning management module is used for estimating building load based on the obtained building functional characteristics; the method is used for establishing a building power distribution model based on the node number of the building active power distribution system and the node number of the photovoltaic power distribution system and considering the fluctuation influence of building functional characteristics on photovoltaic power distribution; the method is used for optimizing the node number of the photovoltaic power distribution system based on the building power distribution model and the building load.
More specifically, the method comprises the steps of,
the power distribution constraint condition is used for determining the value range of each optimal power distribution model.
It can be understood that the low-energy-consumption building power distribution system planning system provided by the invention corresponds to the low-energy-consumption building power distribution system planning method provided by the foregoing embodiments, and relevant technical features of the low-energy-consumption building power distribution system planning system can refer to relevant technical features of the low-energy-consumption building power distribution system planning method, which are not described herein again.
In embodiment 3, an electronic device includes a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the low energy building power distribution system planning method when executing the program.
The memory may include, among other things, mass storage for data or instructions. By way of example, and not limitation, the memory may comprise a hard disk drive, floppy disk drive, solid state drive, flash memory, optical disk, magneto-optical disk, magnetic tape, or universal serial bus drive, or a combination of two or more of the foregoing. The memory may include removable or non-removable (or fixed) media, where appropriate. The memory may be internal or external to the data processing apparatus, where appropriate. In a particular embodiment, the memory is a non-volatile memory. In particular embodiments, the Memory includes Read-Only Memory (ROM) and random access Memory. The ROM may be mask programmed ROM, programmable ROM (PROM for short), erasable PROM, electrically rewritable ROM or FLASH Memory (FLASH), or a combination of two or more of these, where appropriate. The RAM may be static random access memory) or dynamic random access memory (Dynamic Random Access Memory, simply DRAM) where the DRAM may be a fast page mode dynamic random access memory, extended data output dynamic random access memory, synchronous dynamic random access memory, or the like, where appropriate.
The memory may be used to store or cache various data files that need to be processed and/or communicated, as well as possible computer program instructions for execution by the processor.
The processor reads and executes the computer program instructions stored in the memory to implement any of the low energy building power distribution system planning methods of the above embodiments.
In embodiment 4, a non-transitory computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the low energy building power distribution system planning method.
The readable storage medium includes flash memory, a removable hard disk, a multimedia card, a card type memory, a magnetic disk, an optical disk, and the like. The readable storage medium may in some embodiments be an internal storage unit of an electronic device, such as a mobile hard disk of the electronic device. The readable storage medium may in other embodiments also be an external storage device of the electronic device, such as a plug-in mobile hard disk, a smart memory card, a secure digital card, a flash memory card, etc. provided on the electronic device. The readable storage medium may also include both internal storage units and external storage devices of the electronic device. The readable storage medium may be used not only to store application software installed in an electronic device and various types of data, but also to temporarily store data that has been output or is to be output.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention, and are intended to be included within the scope of the appended claims and description.

Claims (10)

1. The low-energy-consumption building power distribution system planning method is characterized by comprising the following steps of:
obtaining building functional characteristics, and estimating building load quantity, wherein the building functional characteristics comprise building geographic characteristics, user load characteristics and user distribution density;
acquiring the node number of the building active power distribution system and the node number of the photovoltaic power distribution system, and establishing a building power distribution model by considering the fluctuation influence of building functional characteristics on photovoltaic power distribution;
and optimizing the node number of the photovoltaic power distribution system based on the building power distribution model and the building load.
2. The method for planning a power distribution system of a low-energy building according to claim 1, wherein when the building function characteristics are obtained and the building load is estimated, the estimation method adopts spatial load prediction, and the specific steps of the spatial load prediction are as follows:
predicting the user load characteristics under the unit geographic position according to the user load characteristics and the user distribution density;
and according to the user load characteristics under the unit geographic position, combining the building geographic characteristics, and predicting the building load by adopting a space load prediction function.
3. The method for planning a low-energy-consumption building power distribution system according to claim 2, wherein after the building power distribution model is established, optimization is further required according to preset power distribution constraint conditions, and the distributed constraint conditions comprise node constraint and branch constraint:
the node constraint is specifically shown as follows:
wherein n represents the number of nodes of the active power distribution system, m represents the number of nodes of the photovoltaic power distribution system, q max,i Represents the maximum output of the ith photovoltaic power distribution system at moment, q min,i Representing the minimum output of the ith photovoltaic power distribution system at the moment,the annual average acting time of the photovoltaic power distribution system is represented;
the branch constraint is specifically shown as follows:
wherein A represents rated capacity of a photovoltaic power distribution system, T plan The total duration of the planning period is represented, p represents the output power of the photovoltaic power distribution system, W act Representing the active power fluctuation value, W, of a photovoltaic power distribution system rea And the reactive power fluctuation value of the photovoltaic power distribution system is represented.
4. A method of planning a low energy building power distribution system according to claim 3 wherein the building power distribution model is of the formula:
where H represents the building load, ρ represents the topology density of the photovoltaic power distribution system, and λ represents the safety factor of the photovoltaic power distribution system.
5. The method for planning a power distribution system of a low-energy building according to claim 4, wherein when the number of nodes of the photovoltaic power distribution system is optimized based on the building power distribution model and the building load, the method for planning the optimal power distribution is obtained, the method specifically further comprises the following steps:
work doing data and power data of the photovoltaic power supplies at any node are obtained, and association models corresponding to the photovoltaic power supplies at any two nodes are determined, wherein the association models are used for representing complementary relations of the two photovoltaic power supplies;
based on the building power distribution model and the association model, considering the tide influence, and integrating to obtain an optimal power distribution model;
and calculating the number of the optimal photovoltaic power supply access nodes based on the optimal power distribution model by considering the building load.
6. The method for planning a power distribution system of a low-energy building according to claim 5, wherein when the number of optimal photovoltaic access points is calculated, the method specifically comprises the following steps:
based on an optimal distribution model, considering comprehensive power measurement and active loss measurement corresponding to the number of photovoltaic power supply access nodes under the building load;
and sequentially comparing the comprehensive power measurement difference value and the active loss measurement difference value under various photovoltaic power supply access modes, and determining the optimal access node number of the photovoltaic power supply according to the comparison result.
7. A low energy building power distribution system planning system, comprising:
and the power distribution data monitoring module is used for: the node quantity of the active power distribution system and the node quantity of the photovoltaic power distribution system of the building are obtained;
building function characteristic acquisition module: the method is used for collecting the geographical characteristics of the building, the load characteristics of the users and the distribution density of the users;
and the power distribution planning management module is used for: the power distribution planning management module is used for estimating building load based on the obtained building functional characteristics; the method is used for establishing a building power distribution model based on the node number of the building active power distribution system and the node number of the photovoltaic power distribution system and considering the fluctuation influence of building functional characteristics on photovoltaic power distribution; the method is used for optimizing the node number of the photovoltaic power distribution system based on the building power distribution model and the building load.
8. The low energy building power distribution system planning system of claim 7 wherein,
the power distribution constraint condition is used for determining the value range of each optimal power distribution model.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the low energy building power distribution system planning method of any one of claims 1 to 6 when the program is executed by the processor.
10. A non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor implements the low energy building power distribution system planning method of any of claims 1 to 6.
CN202310476804.8A 2023-04-27 2023-04-27 Low-energy-consumption building power distribution system planning method and system Withdrawn CN116502849A (en)

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