KR102546116B1 - Electricity management apparatus for trading dump power for housing and, housing complex association method - Google Patents

Abstract

The present invention relates to a power management device and a housing complex combination method for trading surplus electricity for housing, and to analyze the consumption patterns of individual houses and analyze various correlations between the influencing factors and renewable energy form a sustainable and optimal housing complex through the supply of

Description

Power management device and housing complex combination method for trading surplus power for housing

The present invention relates to a power management device and a housing complex combination method for trading surplus electricity for housing, and more specifically, calculates and maintains optimal facility capacity by analyzing power generation and power consumption for each house constituting the housing complex It relates to a management device and method.

Surplus power refers to electricity remaining after consumption, and surplus power trading refers to selling electricity remaining after consumption. Energy trading based on power brokerage trading means not selling surplus electricity, but selling electricity produced at the present time to consumers who need it most at the present time. This means that energy transactions with consumers are not made based on the total amount of energy, that is, accumulated energy, but the energy generated every moment must be immediately connected with consumers upon request. This reflects the characteristics of energy that is destroyed if not consumed at the same time as it is generated and stored at a huge cost, so that the generated electricity can be delivered to consumers in a timely manner.

In recent years, the introduction of new and renewable energy has been activated to reduce national greenhouse gas emissions due to the rise in temperature due to global warming. In particular, it aims to reduce a large amount of carbon dioxide by improving facility efficiency and expanding the supply of new and renewable energy for residential and commercial buildings.

Accordingly, solar power for urban private use is distributed worldwide, and small-scale power brokerage projects are actively being promoted to increase household profits. However, irrespective of the purpose of promotion, indiscriminate installation and inappropriate expansion of renewable energy facilities for the supply of new and renewable energy are being made.

In addition, in the power brokerage business, the same supply-oriented power supply and demand is being performed, and as new and renewable energy facilities must be installed for each building, a large amount of initial capital is required, resulting in a large economic burden. In addition, there is a limit to individual management due to individually installed renewable energy facilities.

Therefore, there is a need for a technology that can more efficiently operate new and renewable energy and achieve energy self-sufficiency through integrated management rather than individual management.

The present invention provides an apparatus and method for generating, maintaining, and operating a housing complex combination for trading surplus power for housing.

The present invention provides an apparatus and method capable of constructing a housing complex based on sustainable renewable energy through the supply of renewable energy by combining enemy housing complexes by analyzing the correlation between factors affecting the housing surplus index.

The present invention provides an apparatus and method capable of more accurately verifying the net profit of surplus power by calculating and upgrading results including external transaction revenue as well as surplus power transaction within a housing complex.

A housing complex combination method according to an embodiment of the present invention includes determining a consumption pattern according to power consumption for each house in consideration of a power unit for energy independence; extracting individual houses having different consumption patterns in consideration of a degree of similarity between consumption patterns determined for each individual house; setting a plurality of housing complexes by grouping the individual houses; and determining the energy capacity of each of the set housing complexes and setting a consumption pattern of the housing complexes according to the determined energy capacity.

Determining a consumption pattern according to an embodiment of the present invention may include determining a power surplus amount based on the amount of power consumption for each house; and determining a consumption pattern of each individual house based on the surplus index of the determined power surplus amount.

Determining the power surplus amount according to an embodiment of the present invention includes a time factor, a day factor, a weekday factor, and a weather factor related to power generation of the individual house. ), an event factor, a season factor, and a household member factor including at least one of the power generation for each influencing factor, the power surplus amount may be determined.

The power surplus index according to an embodiment of the present invention may represent a negative value or a positive value for the power surplus amount based on the power generation amount for each influencing factor and the power consumption amount of an individual house.

In the step of extracting individual houses according to an embodiment of the present invention, individual houses having different consumption patterns may be extracted in consideration of the consumption pattern of each individual house and the type of energy equipment installed for each individual house.

In the step of extracting individual houses according to an embodiment of the present invention, individual houses having different consumption patterns may be extracted using a difference value between surplus indices of power surplus amount according to the consumption pattern of each individual house.

In the step of setting a consumption pattern according to an embodiment of the present invention, the consumption pattern of the housing complexes for inducing energy self-sufficiency is determined in consideration of whether or not resources are shared and whether or not power is traded between individual houses constituting each of the set housing complexes. can be set

The housing complex combination method according to an embodiment of the present invention may include regrouping individual houses constituting the housing complexes by analyzing power sales revenue for each housing complex according to a consumption pattern of each of the housing complexes.

A housing complex combination method according to another embodiment of the present invention includes determining a power surplus amount according to power consumption for each house in consideration of a power unit for energy independence; extracting individual houses having different consumption patterns by determining a consumption pattern of each individual house based on the surplus index of the power surplus amount; grouping individual houses having different consumption patterns into housing estates; and determining an energy capacity of each of the grouped housing complexes and setting a consumption pattern of the housing complexes according to the determined energy capacity.

In the step of extracting individual houses according to an embodiment of the present invention, a negative value or a positive value is given to the power surplus amount based on the amount of power generated by each influencing factor related to power generation of the individual house and the amount of power consumption of the individual house. The consumption pattern of individual houses can be determined using the surplus index of the power surplus amount represented.

In the step of extracting individual houses according to an embodiment of the present invention, individual houses having different consumption patterns may be extracted in consideration of the consumption pattern of each individual house and the type of energy facility installed for each individual house.

In the step of setting a consumption pattern according to an embodiment of the present invention, the consumption pattern of the housing complexes for inducing energy self-sufficiency is determined in consideration of whether or not resources are shared and whether or not power is traded between individual houses constituting each of the set housing complexes. can be set

In a power management device including a processor according to another embodiment of the present invention, the processor determines a consumption pattern according to the amount of power consumption for each house in consideration of a power unit for energy independence, and determines the consumption pattern for each house. Individual houses with different consumption patterns are extracted in consideration of the similarity between patterns, the individual houses are grouped to set a plurality of housing complexes, and the energy capacity of each of the set housing complexes is determined. You can set the consumption patterns of the complexes.

The processor according to an embodiment of the present invention may determine a power surplus amount based on the power consumption amount of each individual house, and determine a consumption pattern of each individual house based on a surplus index of the determined power surplus amount.

The processor according to an embodiment of the present invention may extract individual houses having different consumption patterns in consideration of the consumption pattern of each individual house and the type of energy equipment installed for each individual house.

The processor according to an embodiment of the present invention may set a consumption pattern of housing complexes for inducing energy self-sufficiency in consideration of whether or not resources are shared and whether or not power is traded between individual houses constituting each of the set housing complexes.

In the power management device including a processor according to another embodiment of the present invention, the processor determines a power surplus amount according to the amount of power consumption for each house in consideration of a power unit for energy independence, and determines the power surplus amount Determining the consumption pattern of each individual house based on the surplus index to extract individual houses having different consumption patterns, grouping the individual houses having different consumption patterns into housing complexes, and each of the grouped housing complexes It is possible to determine the energy capacity of the housing complex and set the consumption pattern of the housing complex according to the determined energy capacity.

The processor according to an embodiment of the present invention determines the power surplus amount representing a negative value or a positive value for the power surplus amount based on the amount of power produced by each influencing factor related to the power generation of the individual house and the amount of power consumption of the individual house. The surplus index can be used to determine the consumption patterns of individual houses.

The processor according to an embodiment of the present invention may extract individual houses having different consumption patterns in consideration of the consumption pattern of each individual house and the type of energy equipment installed for each individual house.

The processor according to an embodiment of the present invention may set a consumption pattern of housing complexes for inducing energy self-sufficiency in consideration of whether or not resources are shared and whether or not power is traded between individual houses constituting each of the set housing complexes.

According to one embodiment of the present invention, the housing complex association method may generate, maintain, and operate a housing complex association for trading surplus electricity for houses.

According to one embodiment of the present invention, the housing complex combination method analyzes the correlation between the influencing factors on the housing surplus index and combines the enemy housing complexes, thereby creating a housing complex based on sustainable renewable energy through the supply of renewable energy this could be possible

According to one embodiment of the present invention, the housing complex combination method calculates and upgrades results including transaction revenues made outside as well as surplus power transactions within the housing complex, thereby enabling more accurate verification of the net profit of surplus power.

1 is a diagram illustrating an overall operation for creating a housing complex for trading surplus electricity for housing in accordance with an embodiment of the present invention.
2 is a diagram illustrating an operation of utilizing a clustering technique to create a housing complex according to an embodiment of the present invention.
3 is a diagram illustrating an operation of utilizing a technique for sharing and distributing resources in a housing complex according to an embodiment of the present invention.
4 is a diagram for explaining influencing factors for creating a housing complex according to an embodiment of the present invention.
5 is a diagram illustrating a technique of grouping individual houses in consideration of characteristics of individual houses according to an embodiment of the present invention.
6 is a flowchart illustrating a housing complex combination method according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a diagram illustrating an overall operation for creating a housing complex for trading surplus electricity for housing in accordance with an embodiment of the present invention.

Referring to FIG. 1 , the power management device 101 may group a plurality of individual houses located close to each other into a housing complex to integrate and manage individual houses for each housing complex. In addition, the power management device 101 may group a plurality of individual houses into housing complexes for energy self-sufficiency of individual houses, thereby performing optimal energy management according to power consumption of individual houses constituting the housing complex. Here, energy independence may mean a form of self-sufficient electricity generation and consumption without obtaining energy for power use from the main grid (Main Grid, 103).

To this end, the power management device 101 may determine a consumption pattern according to the amount of power consumption for each house in consideration of a power unit for energy self-sufficiency. In this case, the power unit is a power use standard for energy independence, and may be defined as a unit of energy independence in various standards such as yearly, monthly, weekly, and daily. For example, energy self-sufficiency as defined in Korea defines energy self-sufficiency as a case in which production per hour is greater than consumption, and the present invention aims at energy self-sufficiency per hour according to the power situation. can be integrated and managed.

At this time, the present invention can perform a housing complex 102 combination method that can provide maximum effect at minimum cost by using energy facilities previously installed in individual houses to expand the supply of new and renewable energy. In other words, in order to expand the supply of renewable energy, it is necessary to obtain the maximum effect at the minimum cost, and to obtain the maximum effect, efficient use and management of idle renewable energy equipment is required.

After all, in order to achieve energy self-sufficiency as an individual house unit, it is necessary to generate electricity according to the total consumption and store the surplus electricity that is not used immediately and use it when necessary. In addition, in order to achieve energy self-sufficiency in individual housing units, it is necessary to produce more electricity than average electricity consumption and respond to rapid consumption.

To this end, the power management device 101 of the present invention bundles a plurality of individual houses with different power consumption patterns as a community of interest, rather than equipping individual houses with equipment, and unites the housing complex 102 in an energy group unit. of energy management and settlement for this can be performed. The housing complex 102 proposed in the present invention produces more energy than consumed energy through renewable energy based on all energy used and produced in the buildings and land in the housing complex 102, thereby surplus energy through the grid It may be defined as a housing complex 102 designed and operated to be supplied to neighboring buildings or to participate in the power brokerage market.

The power management device 101 may determine a surplus amount of power according to power consumption of each house based on a power unit. The power management device 101 may determine a consumption pattern of each individual house based on the surplus index of the determined surplus power amount. The power management device 101 may extract individual houses having different consumption patterns in consideration of a similarity between consumption patterns determined for each individual house. The power management device 101 may set a plurality of housing complexes 102 by grouping individual houses. The power management device 101 may reduce self-generation costs and increase utilization of shared resources by sharing power resources between housing complexes in which individual houses are grouped.

In the present invention, the degree of matching with different individual houses constituting the housing complex 102 can be analyzed based on the surplus index derived for each house. The power management device 101 may generate a housing complex having the greatest difference in consumption pattern based on the surplus index derived by the influencing factor. The greater the difference in consumption patterns, the greater the difference in surplus index values.

The power management device 101 may determine the energy capacity of each housing complex 102 and set a consumption pattern of the housing complex 102 according to the determined energy capacity. The power management device 101 may regroup individual houses constituting the housing complexes 102 by analyzing power sales revenue for each housing complex 102 according to a consumption pattern of each housing complex 102 .

The power management device 101 can reduce power transmission costs by minimizing long-distance power transmission investment costs. In addition, since the demand for connection capacity expansion is increasing due to the increase in photovoltaic power generation in the distribution network, the power management device 101 can reduce the investment cost of additional facilities by reducing fluctuations in new and renewable energy by applying the method of the present invention. there is. Moreover, the power management device 101 may stabilize the distribution network by increasing plus energy (surplus power) in units of time.

2 is a diagram illustrating an operation of utilizing a clustering technique to create a housing complex according to an embodiment of the present invention.

Referring to FIG. 2 , the power management device 101 may analyze a consumption pattern of each individual house and combine a plurality of different individual houses and housing complexes. The power management device 101 may use a home energy clustering technique. The housing energy clustering technique is to efficiently use limited resources in energy housing complexes. The power management device 101 can properly group houses with different consumption patterns to obtain the maximum effect with the same resources, and can autonomously share and allocate resources according to differences in consumption patterns.

The power management device 101 groups individual houses with different consumption patterns according to the housing energy clustering technique into housing complexes, and calculates and integrates the renewable energy capacity for each housing complex to induce convenience of management and efficient use of equipment. can do.

More specifically, the power management device 101 may determine the amount of power surplus based on the amount of power consumption for each house in consideration of the power unit for energy self-sufficiency. The power management device 101 may determine a consumption pattern of each individual house based on the surplus index of the determined surplus power amount. The surplus index of the power surplus amount may be a negative value or a positive value of the power surplus amount based on the amount of power produced by each influencing factor and the amount of power consumption of an individual house. That is, the power surplus index may be defined as an index of power surplus by analyzing the influencing factors of individual houses and housing complexes. The surplus index may be a measure of suitability for clustering between individual houses and housing complexes.

For optimum efficiency of renewable energy installations, the surplus index may ideally have a value of +0. To this end, in the present invention, if the surplus index is positive, individual houses with high consumption at the time of ESS expansion and surplus may be grouped into housing complexes. Also, according to the present invention, if the surplus index is a negative number, it is determined that production is not sufficient, and production may be increased through PV and fuel cell expansion.

Accordingly, the power management device 101 may determine a consumption pattern of each individual house according to the surplus index. The power management device 101 may determine a consumption pattern by considering multidimensional influencing factors. Multidimensional influencing factors will be described in detail with reference to FIG. 4 .

The power management device 101 may group individual houses having different consumption patterns into a housing complex in consideration of a similarity between consumption patterns determined for each individual house. The power management device 101 may determine the energy capacity of each housing complex and set a consumption pattern of the housing complex according to the determined energy capacity. At this time, the energy capacity is the expansion capacity of renewable energy in the set housing complex, and can be calculated based on the surplus of the housing complex.

3 is a diagram illustrating an operation of utilizing a technique for sharing and distributing resources in a housing complex according to an embodiment of the present invention.

Referring to FIG. 3 , the power management device 101 may share and distribute resources within a housing complex in order to achieve energy independence for each house constituting the housing complex. Here, each individual house constituting the housing complex may exhibit different consumption patterns according to the lifestyle of the residents. The present invention will be described by assuming a consumption pattern of each individual house to explain resource sharing and distribution operations according to the consumption pattern.

Consumption patterns are largely divided into ① power consumption: day < night (hereinafter, consumption pattern 1), ② power consumption: day > night (below, consumption pattern 2), ③ excess of weekly production (hereafter, consumption pattern 3), ④ excess power consumption (hereinafter, consumption pattern 4), and ⑤ sufficient energy storage (hereinafter, consumption pattern 5).

(a) individual housing

Individual house A can operate in the form of consumption pattern 1. Individual house A according to consumption pattern 1 has high consumption at night, so it may require an ESS to install a large-capacity PV to generate electricity during the day and store it for use at night. In addition, individual house A must additionally install a fuel cell in consideration of energy shortage.

Individual house B can operate in the form of consumption pattern 2. Individual house B according to consumption pattern 2 has high consumption during the day, so PV installation may be required.

Individual house C can operate in the form of consumption pattern 3. Individual house C according to consumption pattern 3 has more production than consumption, so a large-capacity ESS may be required to store it, and there is a need to make a profit through sales of accumulated electricity.

Individual house D can operate in the form of consumption pattern 4. Individual house D according to consumption pattern 4 is a household with high consumption regardless of time, and energy must be secured by installing PV and fuel cells.

(b) housing estate

The power management device 101 may set a housing complex for energy self-sufficiency for each individual house in consideration of the consumption pattern determined for each individual house according to the power unit. At this time, the power management device 101 may configure a housing complex capable of optimal energy management in consideration of each consumption pattern.

In the individual house A operated in the form of consumption pattern 1, the power management device 101 does not install a separate fuel cell, and uses the electricity remaining in the housing complex to provide necessary electricity to the housing complex that can achieve energy independence. Individual house A can be included. A housing complex containing individual housing A may include individual housing operated in the form of consumption pattern 5 opposite to consumption pattern 1. This is to form energy independence according to different consumption patterns.

In the individual house B operated in the form of consumption pattern 2, the power management device 101 transfers insufficient power during the daytime to individual housing complexes that can achieve energy independence by using surplus power of individual houses with high PV production. House B can be included. At this time, the power management device 101 may reduce the PV facility capacity by grouping individual house B and individual house C operated in the form of consumption pattern 3 with high PV production.

Similarly, in the individual house D operated in the form of consumption pattern 4, the power management device 101 uses the surplus power of individual houses with high PV production to supply electricity that is insufficient during the day to individual housing complexes that can achieve energy independence. House D can be included. At this time, the power management device 101 may reduce the amount of PV expansion by grouping the individual house D and the individual house C operated in the form of consumption pattern 3 with high PV production.

In addition, the power management device 101 can achieve maximum profit using a minimum amount of renewable energy equipment by sharing an idle ESS device installed in an individual house E operated in the form of consumption pattern 5 within the complex.

The power management device 101 shares equipment between complexes, thereby maximizing profits through transaction between neighbors of electricity that could not be stored and discarded due to lack of capacity of ESS, and more profits and sustainable energy through analysis of incorporation of new generations into housing complexes be able to maintain independence.

4 is a diagram for explaining influencing factors for creating a housing complex according to an embodiment of the present invention.

Referring to FIG. 4 , the present invention may utilize a property index for each housing for clustering housing complexes according to a surplus index. To this end, the present invention can define 7 influencing factors. In detail, the influencing factor is an index representing the power surplus through analysis of each influencing factor of individual houses and housing complexes, and may be a surplus index. Also, the influencing factor may be a criterion for determining clustering suitability between individual houses or between housing complexes. Here, the following requirements for determining clustering suitability may be considered.

① Digital modeling for housing complex design for surplus index

② Profile analysis by time of combined power consumption (more than 1 year, 4 seasons) according to individual houses and housing complexes

③ Production and consumption matching housing clustering for housing complexes according to the surplus index

④ Deriving a plan for installing and distributing power resources in housing complexes according to the surplus index

Factors influencing these requirements are ① Time Factor, ② Day Factor, ③ Weekday Factor, ④ Weather Factor, and ⑤ Events related to the power generation of individual houses. Factors (Event Factor), ⑥ Season factors (Season Factor), and ⑦ Household member factors (Person Factor) may be included.

① The time factor (by time zone) is a time coefficient, which can represent the change in surplus amount in units of one hour, which can be an independent time standard.

② Day Factor (daily) can represent the minimum, maximum, average, and rate of change for 24 hours a day.

③ Weekday Factor (by day of the week), can indicate the change of the day of the week.

④ The weather factor (by weather) can represent the change in surplus according to the weather (weather information).

⑤ The event factor may indicate a change in surplus due to a social event in contact with a local event or electricity use.

⑥ Season Factor (by season) can represent the change in surplus according to the season.

⑦ Household member factor (Person Factor) can represent the change in surplus amount according to household member information. Here, the surplus amount can be expressed as in Equation 1 below, and the surplus index can be expressed as in Equation 2 below.

Accordingly, the power management device 101 may derive a surplus index for individual houses and housing complexes for clustering of housing complexes based on the characteristic index for each house. The power management device 101 may derive a matching degree based on a consumption pattern difference for matching production and consumption according to a surplus index. In addition, the power management device 101 may analyze combination suitability and reliability of information for each power generation/consumption/surplus index through the characteristic index for each house.

5 is a diagram illustrating a technique of grouping individual houses in consideration of characteristics of individual houses according to an embodiment of the present invention.

Referring to FIG. 5 , the power management device may create and maintain a combination between housing complexes for a surplus power street for housing that maximizes profits through transaction between neighbors of electricity that could not be stored and wasted due to insufficient capacity of the ESS.

The power management device may group individual houses into housing complexes in consideration of characteristics of individual houses according to a surplus index. Here, in the present invention, individual houses according to the characteristics of individual houses may be grouped into housing complexes by dividing into a cluster layer, a power grid layer, and a prosumer layer.

The power management device may analyze a power consumption pattern of an energy housing complex composed of a plurality of individual houses and derive a surplus index derived for each individual house. After determining an energy housing complex having the greatest difference in power consumption pattern, the power management device may supply surplus electricity in the determined energy housing complex to individual houses included in the energy housing complex that require electricity. The power management device may maintain a housing complex for trading surplus power between individual houses or may be newly incorporated into a housing complex.

The power management device may present a basic housing model of renewable energy for energy self-sufficiency and collect energy information of houses for power transaction or sharing between houses. The power management device derives the surplus index and integrates and manages it through a combination of individual houses with different indexes using the time-specific information of the surplus index, thereby reducing waste due to sectoral expansion of ESS or fuel cells. .

6 is a flowchart illustrating a housing complex combination method according to an embodiment of the present invention.

In step 601, the power management device may determine a consumption pattern according to the amount of power consumption for each house in consideration of a power unit for energy self-sufficiency. To this end, the power management device may determine a power surplus amount based on power consumption per individual house. Power management devices are related to the power production of individual houses: ① Time Factor, ② Day Factor, ③ Weekday Factor, ④ Weather Factor, ⑤ Event Factor , ⑥ the season factor (Season Factor), and ⑦ the household member factor (Person Factor), the power surplus amount may be determined using the amount of electricity generated for each influencing factor including at least one.

The power management device may determine a consumption pattern of each individual house based on the surplus index of the determined power surplus amount. Here, the surplus index of the power surplus amount may represent a negative value or a positive value for the power surplus amount based on the amount of power produced for each influencing factor and the amount of power consumption of an individual house.

In step 602, the power management device may extract individual houses having different consumption patterns in consideration of similarities according to consumption patterns determined for each individual house. The power management device may extract individual houses having different consumption patterns in consideration of the consumption pattern of each individual house and the type of energy equipment installed for each individual house. In addition, the housing management apparatus may extract individual houses having different consumption patterns by using a difference value between surplus indices of power surplus amounts according to consumption patterns of individual houses.

In step 603, the power management device may set a plurality of housing complexes by grouping individual houses. The power management device may group individual houses showing a large difference in consumption patterns according to a surplus index of power surplus amount.

Here, a large difference in consumption patterns may mean a large gap between surplus indices of power surplus amounts obtained by subtracting power consumption from power output produced according to each influencing factor. As an example, assuming that the power surplus of individual house A is 320 kWh, the power surplus of individual house B is 171 kWh, and the power surplus of individual house C is 50 kWh, the surplus index of individual house A is 7, The surplus index of house B can be set to 4 and the surplus index of individual house C can be set to 1. In this case, a high surplus index may mean that the amount of accumulated power is high because the amount of power used is less than the amount of power produced. Conversely, a low surplus index may mean that power is insufficient because more power is used than produced power. Accordingly, the power management device may extract individual houses having different consumption patterns by using a difference between surplus indices set for each individual house.

In addition, extracting individual houses having different consumption patterns may be to complement each other according to the consumption patterns of each individual house. In other words, individual houses with power shortages in a housing complex purchase and use electricity from individual houses with high power surplus, and individual houses with high power surplus sell electricity to individual houses with power shortages, thereby promoting mutual benefits. can

Accordingly, the power management device may group optimal individual houses capable of maintaining energy independence in consideration of a surplus index of power surplus amount according to a difference in consumption pattern.

In step 604, the power management device may determine the energy capacity of each housing complex and set a consumption pattern of the housing complex according to the determined energy capacity. The power management device may set a consumption pattern of housing complexes for inducing energy self-sufficiency in consideration of whether or not resources are shared and whether or not power is traded between individual houses constituting each of the set housing complexes.

In step 605, the power management device may regroup individual houses constituting the housing complexes by analyzing the power sales revenue for each housing complex according to the consumption pattern of each housing complex. The power management device may perform a periodic housing estate combination analysis for continued benefit. Here, a profit analysis of sales revenues can lead to proposals for use controls and new housing developments, which can determine the inclusion of new subdivisions and the termination of specific units.

In addition, the power management device may reallocate the capacity of renewable energy resources and recommend expansion to reflect changes in the consumption pattern of the housing complex.

Meanwhile, the method according to the present invention is written as a program that can be executed on a computer and can be implemented in various recording media such as magnetic storage media, optical reading media, and digital storage media.

Implementations of the various techniques described herein may be implemented in digital electronic circuitry, or in computer hardware, firmware, software, or combinations thereof. Implementations may be a computer program product, i.e., an information carrier, e.g., a machine-readable storage, for processing by, or for controlling, the operation of a data processing apparatus, e.g., a programmable processor, computer, or plurality of computers. It can be implemented as a computer program tangibly embodied in a device (computer readable medium) or a radio signal. A computer program, such as the computer program(s) described above, may be written in any form of programming language, including compiled or interpreted languages, and may be written as a stand-alone program or in a module, component, subroutine, or computing environment. It can be deployed in any form, including as other units suitable for the use of. A computer program can be deployed to be processed on one computer or multiple computers at one site or distributed across multiple sites and interconnected by a communication network.

Processors suitable for processing a computer program include, by way of example, both general and special purpose microprocessors, and any one or more processors of any kind of digital computer. Generally, a processor will receive instructions and data from read only memory or random access memory or both. Elements of a computer may include at least one processor that executes instructions and one or more memory devices that store instructions and data. In general, a computer may include, receive data from, send data to, or both, one or more mass storage devices that store data, such as magnetic, magneto-optical disks, or optical disks. It can also be combined to become. Information carriers suitable for embodying computer program instructions and data include, for example, semiconductor memory devices, for example, magnetic media such as hard disks, floppy disks and magnetic tapes, compact disk read only memory (CD-ROM) ), optical media such as DVD (Digital Video Disk), magneto-optical media such as Floptical Disk, ROM (Read Only Memory), RAM (RAM) , Random Access Memory), flash memory, EPROM (Erasable Programmable ROM), EEPROM (Electrically Erasable Programmable ROM), and the like. The processor and memory may be supplemented by, or included in, special purpose logic circuitry.

In addition, computer readable media may be any available media that can be accessed by a computer, and may include both computer storage media and transmission media.

Although this specification contains many specific implementation details, they should not be construed as limiting on the scope of any invention or what is claimed, but rather as a description of features that may be unique to a particular embodiment of a particular invention. It should be understood. Certain features that are described in this specification in the context of separate embodiments may also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable subcombination. Further, while features may operate in particular combinations and are initially depicted as such claimed, one or more features from a claimed combination may in some cases be excluded from that combination, and the claimed combination is a subcombination. or sub-combination variations.

Similarly, while actions are depicted in the drawings in a particular order, it should not be construed as requiring that those actions be performed in the specific order shown or in the sequential order, or that all depicted actions must be performed to obtain desired results. In certain cases, multitasking and parallel processing can be advantageous. Further, the separation of various device components in the embodiments described above should not be understood as requiring such separation in all embodiments, and the program components and devices described may generally be integrated together into a single software product or packaged into multiple software products. You have to understand that you can.

On the other hand, the embodiments of the present invention disclosed in this specification and drawings are only presented as specific examples to aid understanding, and are not intended to limit the scope of the present invention. In addition to the embodiments disclosed herein, it is obvious to those skilled in the art that other modified examples based on the technical idea of the present invention can be implemented.

101: power management unit
102: housing complex
103: main grid

Claims (20)

Determining a power surplus amount based on power consumption per individual house according to a power unit for energy independence, and determining a consumption pattern of each individual house using a factor influencing a surplus index of the power surplus amount;
extracting individual houses having different consumption patterns in consideration of a degree of similarity between consumption patterns determined for each individual house;
analyzing a degree of matching between individual houses using a surplus index derived from each individual house according to a consumption pattern of the extracted individual houses;
setting a plurality of housing complexes by grouping the individual houses to share power resources according to the analyzed matching degree; and
determining an energy capacity of each of the set housing complexes and setting a consumption pattern of the housing complexes according to the determined energy capacity;
including,
Analyzing the degree of matching,
The difference in consumption pattern based on the difference between the surplus indices derived by the influencing factor for each individual house - the difference in consumption pattern increases as the difference between the values of the surplus index increases, the greater the difference in consumption pattern between individual houses - Analyze the degree of matching between individual houses so that
The step of setting the plurality of housing complexes,
Setting a plurality of housing complexes by grouping individual houses having different consumption patterns to share and distribute power resources among a plurality of individual complexes included in one housing complex in consideration of the matching degree;
The step of setting the consumption pattern of the housing complexes,
Analyzing power sales revenue for each housing complex according to a consumption pattern of each of the plurality of housing complexes according to the energy capacity;
maintaining a plurality of preset housing complexes or regrouping individual houses constituting the housing complexes in consideration of the analyzed power sales revenue; and
If the individual houses are regrouped, setting a consumption pattern of each housing complex in consideration of the energy capacity of each housing complex created through the regrouping;
A housing complex combination method comprising a. delete delete According to claim 1,
The surplus index of the power surplus is,
A housing complex combination method that represents a negative value or a positive value for the power surplus amount based on the power generation for each influencing factor and the power consumption of each house. According to claim 1,
The step of extracting the individual houses,
A housing complex combination method for extracting individual houses having different consumption patterns in consideration of the consumption pattern of each individual house and the type of energy equipment installed for each individual house. delete According to claim 1,
Setting the consumption pattern,
A housing complex combination method for setting a consumption pattern of housing complexes for inducing energy independence in consideration of whether or not resources are shared and whether or not power is traded between individual houses constituting each of the set housing complexes. According to claim 1,
regrouping individual houses constituting the housing complexes by analyzing power sales revenue for each housing complex according to a consumption pattern of each of the housing complexes;
A housing complex combination method further comprising a. Determining a power surplus amount according to power consumption for each house in consideration of a power unit for energy independence;
extracting individual houses having different consumption patterns by determining a consumption pattern of each individual house based on an influencing factor related to a surplus index of the power surplus amount;
grouping individual houses having different consumption patterns into housing estates; and
determining an energy capacity of each of the grouped housing complexes and setting a consumption pattern of the housing complexes according to the determined energy capacity;
including,
The grouping step is
The difference in consumption pattern based on the difference between the surplus indices derived by the influencing factor for each individual house - the difference in consumption pattern increases as the difference between the values of the surplus index increases, the greater the difference in consumption pattern between individual houses Analyzing the matching degree between individual houses so that - is maximized; and
Grouping a plurality of housing complexes by grouping individual houses having different consumption patterns so as to share and distribute power resources among a plurality of individual complexes included in the analyzed housing complex in consideration of the analyzed matching degree;
including,
In the setting step,
Analyzing power sales revenue for each housing complex according to a consumption pattern of each of the plurality of housing complexes according to the energy capacity;
maintaining a plurality of preset housing complexes or regrouping individual houses constituting the housing complexes in consideration of the analyzed power sales revenue; and
If the individual houses are regrouped, setting a consumption pattern of each housing complex in consideration of the energy capacity of each housing complex created through the regrouping;
A housing complex combination method comprising a. According to claim 9,
The step of extracting the individual houses,
Consumption pattern of individual houses using a surplus index of power surplus amount indicating a negative value or a positive value for the power surplus amount based on the amount of power produced by each influencing factor related to the power generation of the individual house and the amount of power consumption of the individual house How to determine the housing complex combination. According to claim 9,
The step of extracting the individual houses,
A housing complex combination method for extracting individual houses having different consumption patterns in consideration of the consumption pattern of each individual house and the type of energy equipment installed for each individual house. According to claim 9,
Setting the consumption pattern,
A housing complex combination method for setting a consumption pattern of housing complexes for inducing energy independence in consideration of whether or not resources are shared and whether or not power is traded between individual houses constituting each of the set housing complexes. A power management device comprising a processor,
the processor,
Determine the consumption pattern of each individual house using the influence factor of the surplus index based on the power consumption of each individual house according to the power unit for energy independence,
Extracting individual houses having different consumption patterns in consideration of the similarity between the consumption patterns determined for each individual house;
Analyzing the degree of matching between individual houses using the surplus index derived from each individual house according to the consumption pattern of the extracted
Setting a plurality of housing complexes by grouping the individual houses to share power resources according to the analyzed matching degree;
Determining the energy capacity of each of the set housing complexes and setting a consumption pattern of the housing complexes according to the determined energy capacity;
In analyzing the degree of matching,
The difference in consumption pattern based on the difference between the surplus indices derived by the influencing factor for each individual house - the difference in consumption pattern increases as the difference between the values of the surplus index increases, the greater the difference in consumption pattern between individual houses - Analyze the degree of matching between individual houses so that
In setting the plurality of housing complexes,
Setting a plurality of housing complexes by grouping individual houses having different consumption patterns to share and distribute power resources among a plurality of individual complexes included in one housing complex in consideration of the matching degree;
In setting the consumption pattern of the housing complexes,
Analyzing the power sales revenue for each housing complex according to the consumption pattern of each of the plurality of housing complexes according to the energy capacity,
Maintaining a plurality of preset housing complexes or regrouping individual houses constituting the housing complexes in consideration of the analyzed power sales revenue;
When the individual houses are regrouped, a power management device for setting a consumption pattern of each housing complex in consideration of the energy capacity of each housing complex generated through the regrouping. delete According to claim 13,
the processor,
A power management device for extracting individual houses having different consumption patterns in consideration of the consumption pattern of each individual house and the type of energy equipment installed for each individual house. According to claim 13,
the processor,
A power management device for setting a consumption pattern of housing complexes for inducing energy self-sufficiency in consideration of whether resources are shared and whether or not power is traded between individual houses constituting each of the set housing complexes. A power management device comprising a processor,
the processor,
Considering the power unit for energy self-sufficiency, determine the amount of power surplus according to the amount of power consumption for each house,
Determining the consumption pattern of each individual house based on the influencing factor on the surplus index of the power surplus amount to extract individual houses having different consumption patterns;
Grouping individual houses with different consumption patterns into housing complexes;
Determining the energy capacity of each of the grouped housing complexes and setting a consumption pattern of the housing complexes according to the determined energy capacity;
In grouping the housing complexes,
The difference in consumption pattern based on the difference between the surplus indices derived by the influencing factor for each individual house - the difference in consumption pattern increases as the difference between the values of the surplus index increases, the greater the difference in consumption pattern between individual houses Analyze the degree of matching between individual houses so that - is maximized,
Grouping a plurality of housing complexes by grouping individual houses having different consumption patterns to share and distribute power resources among a plurality of individual complexes included in one housing complex analyzed in consideration of the analyzed matching degree;
In setting the consumption pattern,
Analyzing the power sales revenue for each housing complex according to the consumption pattern of each of the plurality of housing complexes according to the energy capacity,
Maintaining a plurality of preset housing complexes or regrouping individual houses constituting the housing complexes in consideration of the analyzed power sales revenue;
When the individual houses are regrouped, a power management device for setting a consumption pattern of each housing complex in consideration of the energy capacity of each housing complex generated through the regrouping. According to claim 17,
the processor,
Consumption pattern of individual houses using a surplus index of power surplus amount indicating a negative value or a positive value for the power surplus amount based on the amount of power produced by each influencing factor related to the power generation of the individual house and the amount of power consumption of the individual house A power management device that determines According to claim 17,
the processor,
A power management device for extracting individual houses having different consumption patterns in consideration of the consumption pattern of each individual house and the type of energy equipment installed for each individual house. According to claim 17,
the processor,
A power management device for setting a consumption pattern of housing complexes for inducing energy self-sufficiency in consideration of whether resources are shared and whether or not power is traded between individual houses constituting each of the set housing complexes.

Images