KR20130022039A - Smart micro-grid operating system and method - Google Patents

Abstract

PURPOSE: A smart micro-grid operating system and an operating method thereof are provided to satisfy energy consumption with minimum electric charges by fluidly integrating multiple distributed power sources and various energy consuming areas. CONSTITUTION: An energy input module(110) is provided with electric power from a distributed power source. An energy production information receiving module(120) receives energy production information related to electric energy production of the distributed power source. An energy use information receiving module(130) receives energy use information related to electric energy use of an energy consuming area. A storage information receiving module(140) receives storage information related to multiple storages having different properties. An calculating module(150) calculates an energy map for minimizing electric charges based on the energy production information, the energy use information and the storage information. [Reference numerals] (11) Commercial power; (110) Energy input module; (120) Energy production information receiving module; (130) Energy use information receiving module; (140) Storage information receiving module; (150) Calculating module; (160) Energy control module; (170) Use pattern database; (21) First storage(super capacitor); (22) Second storage(battery); (23) Third storage(fuel cell); (AA) Device; (BB) Energy demand source

Description

Smart Micro Grid Operating System and Method {SMART MICRO-GRID OPERATING SYSTEM AND METHOD}

The present invention relates to a smart micro grid operating system and method, and more particularly, to complex and unpredictable problems such as external environment such as weather, temperature, humidity, etc. In addition, the present invention relates to a technology capable of maximizing an electric charge reduction effect compared to the existing one in consideration of nonlinear behavior.

Over the last few decades, the severity of global warming and environmental pollution has gradually increased, and the need for energy reduction and GHG reduction is felt globally. Various renewable energies, such as solar, solar, wind, and geothermal, proposed to replace existing fossil fuels, have yet to lead to overall expansion due to price competitiveness or many technical problems. Thanks to government support, many investments and research activities are in progress.

The current power infrastructure is produced centrally through hydropower, thermal power, nuclear power, etc., then unilaterally distributed and distributed by some monopolistic companies, and charged based on a fixed price. Although the billing system is open, it is generally safe to say that electricity has little price elasticity compared to other goods. Recently, with the recognition of the aging of some power infrastructures and the need for new and renewable energy, there is a need for a completely different power infrastructure. There are also homes that sell power back to utility operators.

In the future, plug-in hybrid vehicles are expected to grow rapidly over the next two decades, which will make up a large portion of the household's electricity consumption, which previously used only gasoline / diesel. In addition, the self-sufficient energy facility consisting of renewable energy and energy storage devices or a larger micro-grid, rather than home, The needs to organize by building and by region will also grow.

Among the consumers who only consumed microgrids, consumers who have the ability to supply power as well as their own consumption by their own power generation facilities appeared on the power supply chain. It is a technology for maximizing the energy utilization of the entire network by utilizing electrical energy produced by self-developed customers scattered in the power supply network, and a new power generation / consumption model. . Micro-Grids, which are made on a small scale for such grids, are called Micro-Grids, and they are called under various names such as Smart Grid, Super Grid, and Smart Electric Grid. Usually, the micro grid system is composed of a number of distributed power sources such as wind power, photovoltaic power generation, fuel cells, energy storage devices such as battery storage devices, and a plurality of loads. An energy management system for monitoring and controlling each element is connected through a communication network. It is.

Given the changes in global perceptions, government initiatives, and market trends, there is a need for a system that can flexibly and efficiently operate various energy sources and new forms and scales of energy demand in the future. However, this system has significant technical difficulties due to its nonlinear nature and difficult future prediction. Hybrid cars, for example, consist of only two energy sources (engines and batteries), but due to the diversity of energy consumption patterns, the optimization is quite difficult.

Therefore, there is a need for a system that can flexibly integrate and operate more energy sources and more diverse energy demand sources to achieve optimal results, i.e., satisfying energy consumption with minimal electricity bills.

In this regard, Korean Patent No. 10-0798347, "Combined Heating and Cooling System for Houses Using Renewable Energy," uses electricity produced from solar power to operate the pump using geothermal heat and uses only electricity from KEPCO. Techniques for enabling this are described. According to the prior art, when the function of the photovoltaic power generation system in rainy weather is reduced or lost, electricity is supplied from the commercial power line to operate the geothermal heating and cooling system, thereby minimizing the electricity bill.

However, since renewable energy sources produce electric energy non-uniformly, they are mainly supplied with electricity from a commercial power source, and the effect of reducing electric charges is insignificant.

Therefore, there is a need for a technique capable of minimizing electric charges by measuring and predicting variables that affect power generation of each renewable energy source in advance.

Korean Patent Registration No. 10-0798347

It is an object of the present invention to provide a system and method that can flexibly integrate and operate many distributed power sources and various energy demand sources to achieve energy consumption satisfaction with optimal results, i.e., a minimum electricity bill.

In addition, the present invention provides a system in consideration of complex, unpredictable, and non-linear behavior such as external environment such as weather, temperature, humidity, electric energy production, and electricity charges corresponding to distributed power. It aims to be able to operate.

In order to achieve this object, the smart micro grid operating system according to the present invention includes an energy input module, an energy production information receiving module, an energy usage information receiving module, a storage information receiving module, a calculation module, and a control module. The energy input module receives electrical energy from a distributed power supply including a renewable energy source or a new energy source. The energy production information receiving module receives energy production information related to electric energy production of the distributed power supply. The energy usage information receiving module receives energy usage information regarding the use of electrical energy from an energy demand source. The storage information receiving module receives storage information regarding a plurality of storages having different characteristics. The calculation module calculates an energy map for minimizing an electric charge based on the energy production information, energy usage information, and storage information. The energy control module stores electrical energy of a distributed power source in a storage selected according to the energy map, and outputs electrical energy from the selected storage.

As described above, according to the present invention, it is possible to flexibly integrate and operate a large number of distributed power sources and various energy demand destinations, thereby realizing energy consumption satisfaction with an optimal result, that is, a minimum electric charge.

In addition, the present invention is an operating system in consideration of factors that exhibit complex, unpredictable, and non-linear behavior, such as the external environment such as weather, temperature, humidity, electrical energy production, electricity bills corresponding to distributed power sources, etc. Because it can be operated, it is possible to stably operate a complex operating system and to control it in an efficient manner, which can result in a minimum electricity bill and thus reduce the electricity bill.

In addition, the present invention can be more accurately predicted by calculating the energy map by continuously updating the electrical energy use pattern in the energy demand destination, it is possible to effectively control the operating system to maximize the effect of reducing the electricity bill than before.

In addition, the operating system according to the present invention is installed in a server of the central computer center separately from the energy control module and executed through the central computer system, or the operation module is executed through various distributed systems such as cloud computing. This can provide an economic effect while overcoming spatial constraints. The service provider of such an operating system can provide an opportunity to reduce power usage costs for customers in energy demand through continuous provision of improved optimization algorithms, realize continuous charging rather than one-off, and generate continuous service revenue. .

1 is a view showing a schematic configuration of a smart micro-grid operating system according to an embodiment of the present invention.
2 is a diagram illustrating a schematic configuration of a smart micro grid operating system according to another embodiment of the present invention.
3 is a view showing a schematic flow of a smart micro grid operating method according to an embodiment of the present invention.
4 is a view showing a schematic flow of a smart micro grid operating method according to another embodiment of the present invention.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the following description of the present invention, a detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear. Further, in the description of the embodiments of the present invention, specific values are merely examples, and exaggerated values may be presented for convenience and understanding of the present invention.

<Description of System>

1 schematically illustrates the configuration of a smart micro-grid operating system according to an embodiment of the present invention.

Operating system 100 according to the present invention is installed in the energy demand site (Site) by a specific small regional unit or global unit, such as schools, industrial complexes to supply power, for this purpose, the energy input module 110, energy production information receiving module 120, the energy usage information receiving module 130, the storage information receiving module 140, the operation module 150, the energy control module 160, and the like.

The energy input module 110 receives electric energy from a distributed power source 10 including a commercial power source 11, a renewable energy source 12, or a new energy source 13. Here, the commercial power source 11 refers to a generator of a power company such as KEPCO, and the renewable energy source 12 is a renewable energy source such as solar, solar, bio energy, wind power, and hydropower that can replace fossil fuels and nuclear power. A generator using the available energy, the new energy source 13 refers to a generator using a new energy different from the conventional, such as hydrogen, fuel cells, coal liquefied gas.

The energy production information receiving module 120 receives energy production information related to electric energy production of the distributed power supply 10.

In general, since renewable energy sources 12 such as solar power and wind power generation are inherently dependent on the natural environment, the amount of electric energy produced is sensitive to the external environment such as weather conditions, and thus the power generation is irregular. This is quite difficult to predict. In the case of photovoltaic power generation, electric energy production is influenced not only by very local weather or temperature, but also by the dust of the panel, and wind power is also affected by the local wind speed. In addition, in the case of a new energy source such as a fuel cell, since the initial preparation time required for the production of electric energy exists, it is difficult to supply the electric energy quickly. In order to use a solid oxide fuel cell, a temperature of 800 ° C. to 1000 ° C. must be satisfied. Therefore, it takes time to increase the temperature. Polymer Electrolyte Membrane fuel cells not only have to satisfy the appropriate temperature (~ 80 degrees), but also have to meet the appropriate humidity conditions, so preparation for this takes time. When not considering these various variables and non-ideal phenomena, not only the operating system 100 according to the present invention can be stably operated, but also waste of unnecessary power.

Therefore, the energy production information in the present invention is information on the amount of electrical energy produced in each distributed power source 10, external information affecting the electrical energy production of each distributed power source 10 and the electricity of each distributed power source 10 It is preferable to include at least one or more of information about the cost of energy production.

First, the information on the electrical energy production means information on how much electrical energy is produced from which distributed power source 10, and in the case of the renewable energy source 12, the electrical energy production is changed by the external environment. For example, it is necessary to monitor electrical energy production.

External information affecting the production of electrical energy refers to variables that affect the production of electrical energy, such as weather, temperature, and wind speed. As described above, renewable energy sources such as solar power and wind power generation (12) are The stability and quality of the power supply may be lower than that of the commercial power source 11 or the new energy source 13, so that the monitoring is performed in real time. Such weather, temperature, wind speed, etc. can be identified through the local temperature information from the Meteorological Agency database, or can also be detected through a temperature sensor.

The information on the production cost of the electric energy means an electric charge that is applied differently according to the distributed power source 10 as well as an electric charge that changes in day and night or in real time when using electric energy. Usually, the electric charge of the commercial power source 11 is the most expensive, followed by the new energy source 13 and the renewable energy source 12, so that the more electric energy supply produced by the renewable energy source 12, the lower the electric charge. The effect can be maximized.

On the other hand, the energy usage information receiving module 130 receives energy usage information on the use of electrical energy from the energy demand source, the energy usage information refers to the real-time power use status in the demand destination, such as factories, schools, homes.

The storage information receiving module 140 receives storage information regarding the plurality of storages 20 having different charging characteristics and input / output speed characteristics. The storage information such as the real-time internal temperature or humidity of the storage 20 affecting the energy storage, the remaining charge information of each storage 20 or initial preparation time information, so as to make the best use of the electrical energy of the renewable energy source 12 Includes elements that exhibit non-linear form, such as environmental information. In this case, the storage 20 is capable of rapid charging and discharging to maintain a constant amount of power of the renewable energy source 12, that is, a super input for temporarily storing electrical energy produced intermittently from the renewable energy source 12 due to a high input / output speed. The first storage 21, such as a capacitor (Super Capacitor), and the second storage 22, such as a battery for storing the surplus electrical energy of the renewable energy source 12 to maximize the savings of the electricity bill. The surplus electrical energy of the renewable energy source 12 may be stored in a third storage 23 such as a fuel cell that produces / stores electrical energy. The fuel cell is a new energy source 13 and corresponds to the third storage 23.

The calculation module 150 calculates an energy map for minimizing an electric charge based on the energy production information, the energy usage information, and the strip information. The energy map predicts the electric energy production amount of each distributed power source 10 and the amount of electric energy used at the energy demand in the short term, and optimizes the electricity rate by minimizing the electric cost by considering the electric rate for each distributed power source 10 in real time. The output produced by That is, the calculation module 150 compares the purchase price per KW of the cost generated when the power is supplied from each storage 20 to derive an optimal combination, and the energy control module 160 calculates the optimal combination. To output electrical energy.

The energy control module 160 controls the electric energy of the distributed power supply 10 to be stored in the selected storage 20 according to the energy map, and outputs the electric energy from the selected storage 20. To this end, the energy map includes information for selecting the storage 20 in which the electrical energy of the renewable energy source 12 is to be stored in consideration of the charging characteristic and the input / output speed characteristic of the storage 20 so that the electric charge can be minimized. do. For example, when the power supply of the renewable energy source 12 is smooth, the energy control module 160 supplies the electrical energy of the renewable energy source 12 so that the power of the rapidly changing renewable energy source 12 is stably supplied to the load. After temporary storage in the first storage 21, it is controlled to be supplied to the energy demand destination. In addition, the surplus electric energy of the renewable energy source 12 is stored in the second storage 22 or the third storage 23 so that the electric charge can be minimized, thereby securing the most environmentally friendly and cheap electric energy. The electric charge of the fuel cell is more expensive than the renewable energy source, but since it is a new energy source and cheaper than commercial power, the second storage 22 supplies the electric energy of the fuel cell when there is no surplus electric energy.

If the distributed power source 10 is composed of a used power source, solar power generation, wind power generation, and fuel cell, and electric energy is charged in the battery and the fuel cell, and the weather condition is clear and the wind is not blowing, the generation amount of the wind power generation is quite large. Will be less. In this case, first, the electric energy produced by the cheapest solar power generation is supplied to the energy demand source, and if the supply is insufficient, the electric energy of the battery is supplied to the energy demand destination, thereby minimizing the electric charge. When the battery is discharged, electric energy of the fuel cell is used. However, in the case of a fuel cell, an initial preparation time is required to produce electric energy. Therefore, electric energy is supplied from a commercial power supply only during the initial preparation time, and electric energy is supplied from a commercial power supply when electric energy is supplied from a fuel cell. After cutting off, it is possible to receive electric energy from the fuel cell, but it is desirable to increase the economic efficiency by operating the fuel cell cheaper than commercial power in advance.

As described above, factors that exhibit complex, unpredictable, and non-linear behavior, such as the external environment such as weather, temperature, and humidity, electric energy production and electric charges corresponding to the distributed power supply 10, are considered. Since the operating system 100 can be operated, the complex operating system 100 can be stably driven and controlled in an efficient manner, and accordingly, a minimum electric charge can be finally generated. Savings are possible.

On the other hand, the average power consumption is not constant according to the characteristics or season of the energy demand source, there is a limit to actively respond to the energy demand due to the intermittent electrical energy of the renewable energy source 12.

Accordingly, the operating system 100 of the present invention further comprises a usage pattern database 170 for storing energy usage pattern information regarding the electrical energy usage pattern, and the calculation module 150 stores the energy usage pattern information. Consider further and calculate the energy map.

The energy usage pattern information is an electric energy usage pattern such as a time zone during which energy consumption is high or a maximum power consumption during the day, and the calculation module 150 generates an energy map by applying the same to an optimization algorithm.

If the energy map is expected to immediately use the electrical energy of the renewable energy source 12 through the energy use pattern information, the electrical energy of the renewable energy source 12 is temporarily stored in the first storage 21 having the fastest input / output speed. The surplus electric energy of the renewable energy source 12 is stored in the second storage 22 having a slow input / output speed compared to the first storage 21, and when there is no charge remaining in the second storage 22, Information for allowing electrical energy of the renewable energy source 12 to be stored in the third storage 23 capable of long-term storage of energy. Since the first, second, and third storages 21, 22, and 23 are as described above, a description thereof will be omitted.

For example, there is an energy demand destination having a pattern that maximizes the amount of electric energy consumption at night through the usage pattern database 170, and the second and third storages 22 and 23 are discharged, and the monitoring result of the external environment. If the current environment is sufficient light and wind, the calculation module 150 generates an energy map to minimize the electricity bill based on the pattern, storage, and environmental information. According to the energy map, the energy control module 160 temporarily stores the electric energy produced by photovoltaic power generation and wind power generation with the lowest electric charges in the first storage 21 and supplies the energy to the energy demand destination. Minimize the use of power to maximize the savings on electricity bills. If power consumption is not high at the energy demand source, the wind energy electric energy will be stored in the second storage 22. When the surplus electric energy is stored in the second storage 22, the remaining surplus electric energy is stored in the third storage 23. At night in such a situation, electrical energy cannot be produced in photovoltaic power generation, so a source of electrical energy other than wind power is required. Therefore, the calculation module 150 generates a combination of the wind power generation and the other distributed power supply 10 as an optimized result, and since the charging amount of the second storage 22 is sufficient, energy of the second storage 22 is converted into energy. Supply to the source of demand. If there is no wind at night and the wind power generation is not possible, and the power consumption pattern analysis shows that the power consumption is expected to increase in the future, it is impossible to stably supply the electric energy stored in the second storage 22, in this case, the third Start the storage 23. In this case, since the third storage 23 requires an initial preparation time as a new energy source, in consideration of this, the third storage 23 is operated before the second storage 22 is discharged. This is the least expensive combination to produce an optimized output.

According to the present invention, by calculating the energy map by continuously updating the electrical energy usage pattern at the demand destination, more sophisticated predictions are possible, so that the effect of reducing the electric charges can be maximized by controlling the operating system 100 efficiently. Can be. In addition, by monitoring the amount of charge and discharge of each storage 20 to calculate the energy map in consideration of information such as how much electrical energy is produced and stored from which distributed power source 10, and how much the cost is consumed therein Thus, it is possible to produce a result that can optimize the consumption and distribution of electrical energy.

On the other hand, Figure 2 schematically shows the configuration of the operating system according to another embodiment of the present invention, the operating system 200 is energy production information receiving module 210, energy usage information receiving module 220, storage information It comprises a receiving module 230, the usage pattern database 240, the calculation module 250 and the energy map transmission module 260 and the like.

The energy production information receiving module 210 receives energy production information related to electric energy production of the distributed power source 10 including the commercial power source 11, the renewable energy source 12, or the new energy source 13. Here, the commercial power source 11, the renewable energy source 12, and the new energy source 13 are similar to those described above and will be omitted. The energy production information includes information on the amount of electrical energy produced by each distributed power source 10, external information affecting the production of electrical energy by each distributed power source 10, and an electrical energy production cost of each distributed power source 10. At least one of the information is included, and the description thereof will be omitted since it is similar to the above description.

The energy usage information receiving module 220 receives the energy usage information regarding the use of electrical energy of the energy demand destination, and the energy usage information refers to a real time power use status at a demand destination such as a factory, school, or home.

The storage information receiving module 230 receives storage information regarding the plurality of storages 20 having different charging characteristics and input / output speed characteristics. The storage information is information such as the remaining charge or initial preparation time information of each storage 20, the real-time internal temperature or humidity of the storage 20 affecting the energy storage so as to make the best use of the electrical energy of the renewable energy source 12 It is desirable to include elements that exhibit non-linear forms such as environmental information. The storage 20 is capable of rapid charging and discharging to maintain a constant amount of power of the renewable energy source 12, that is, a super capacitor for temporarily storing electrical energy produced intermittently from the renewable energy source 12 due to a high input / output speed. The first storage 21 is composed of a second storage 22, such as a battery for storing the surplus electrical energy of the renewable energy source 12 to maximize the savings of the electricity bill. The surplus electrical energy of the renewable energy source may be stored in the third storage 23 such as a fuel cell that produces / stores electrical energy.

The usage pattern database 240 stores energy usage pattern information on the electrical energy usage pattern of the energy demand destination, and the energy usage pattern information refers to a pattern related to the use of electrical energy such as power peak time period or power consumption by time zone.

The calculation module 260 calculates an energy map for minimizing an electric charge based on energy production information, energy usage information, and storage information. The energy map predicts the electric energy production of the entire distributed power source 10 and the electrical energy consumption of the energy demand in the short term, and optimizes the electricity price by minimizing the electric charge in consideration of the electric rate for each distributed power source 10 in real time. Is the result produced by That is, since the biggest problem of disseminating renewable energy is intermittent power generation, the calculation module 250 applies various information to an optimization algorithm so as to optimally cross-produce electrical energy from various renewable energy sources 12. It is to predict which electric power can be minimized by producing electric energy from which distributed power source 10 at a time point. In particular, the energy map includes information for selecting the storage 20 in which the electric energy of the renewable energy source 12 is to be stored in consideration of the charging characteristic and the input / output speed characteristic of the storage 20 so that the electric charge can be minimized. . At this time, since the electric charge from each distributed power source 10 changes according to market demand and supply, weather, power accident, etc., the optimal combination is to supply electric energy of the distributed power source 10 using real-time price information. desirable.

 The energy map transmission module 260 stores the electrical energy of the distributed power supply 10 in the storage 20 selected according to the energy map, and controls the energy control module 30 to output electrical energy from the selected storage 20. To transmit the energy map.

In the present invention, the energy control module 30 controls the electric energy of the distributed power source 10 to be stored in the selected storage 20 according to the energy map, and controls the electric energy to be output from the selected storage 20. It is installed and supplied to energy demand by specific small regional units or global units such as complexes.

If the energy map is expected to immediately use the electrical energy of the renewable energy source 12 through the energy use pattern information, the electrical energy of the renewable energy source 12 is temporarily stored in the first storage 21 having the fastest input / output speed. The surplus electric energy of the renewable energy source 12 is stored in the second storage 22 having a slow input / output speed compared to the first storage 21, and when there is no charge remaining in the second storage 22, Information for allowing electrical energy of the renewable energy source 12 to be stored in the third storage 23 capable of long-term storage of energy. Since the first, second, and third storages 21, 22, and 23 are as described above, a description thereof will be omitted.

For example, the distributed power source 10 is composed of solar power, wind power, fuel cells, commercial power, and has a pattern that maximizes the electrical energy consumption between 14:00 and 17 o'clock through the use pattern database 240. If there is an energy demand source, the second storage 22 is fully charged, the third storage 23 is partially charged, and as a result of monitoring of the external environment, a light and wind environment is sufficient at 9 o'clock. 250 generates an energy map based on the pattern, storage, and environmental information so that an electric charge may be minimized. According to the energy map, the energy control module 30 temporarily stores electric energy of photovoltaic power generation and wind power generation having the lowest electric charge in the first storage 21 and supplies the energy to the energy demand destination. If power consumption is not high at the energy demand source, the wind energy electric energy will be stored in the third storage 23. When the power consumption of the energy demand source is increased at 14:00 and smooth power supply is not possible with the renewable energy source, the electric energy of the second storage 22 is supplied to the energy demand destination. When the electrical energy charged in the second storage 22 is exhausted, the electrical energy stored in the third storage 23 is supplied. When the third storage 23 is a fuel cell, not only the storage but also the electric energy can be produced. When the electric energy stored in the fuel cell is consumed, the fuel cell directly produces the electric energy and supplies it to the energy demand destination. However, in the case of a fuel cell, since an initial preparation time is required for producing electric energy, it is economically efficient to minimize the use of commercial power by operating the fuel cell in advance. The electrical energy stored in the third storage 23 may be sold later.

As described above, various factors including complex, unpredictable and non-linear behaviors, such as external environment such as weather, temperature, humidity, electric energy production, and electricity bills corresponding to distributed power sources are variously considered. Since the operating system 200 can be operated, it is possible to reduce the electricity bill. In particular, by calculating the energy map by continuously updating the electrical energy use pattern at the energy demand destination, more accurate prediction is possible, and thus, the control of the operating system 200 can be efficiently controlled to maximize the reduction of the electric charge.

On the other hand, the calculation module 250 takes considerable computational time even using the optimization algorithm according to the present invention, in the case of the renewable energy source 12, it is difficult to predict the energy production in the next 5 to 10 minutes, the distribution and production of energy Not only does it require a lot of information for the control, but it also requires constant updating of energy usage patterns for accurate predictions. Therefore, the operating system 200 according to the present invention is installed in the central computer center separately from the energy control module 30 and executed through the central computer system, or the operation module 250 as cloud computing (Cloud Computing) By running through several distributed systems, it is desirable to provide economic benefits while overcoming spatial constraints. That is, since the space and cost burden to install the operating system 200 by region is large, especially when applied to a home or a car, or if the space constraints are large.

The service provider of the operating system 200 can provide an opportunity to reduce the power usage cost to the customer of the customer by continuously providing improved optimization algorithms, realize continuous charging rather than one-time, and the possibility of continuous service revenue generation. There is this.

<Description of Method>

A smart microgrid operating method according to an embodiment of the present invention will be described with reference to the flowchart shown in FIG. 3.

1. Storage step of energy usage pattern information S310 >

Receiving and storing the energy usage pattern information on the electrical energy usage pattern for a certain period at the energy demand destination, the information refers to the electrical energy usage pattern, such as the time of the day when the power consumption is high or the maximum power consumption. .

2. Energy production information, usage information and Storage Information  Receive Step S320 >

Energy production information related to the production of electrical energy of the distributed power source 10 including the commercial power source 11, the renewable energy source 12, or the new energy source 13, energy use information regarding the use of electric energy at an energy demand source, and Receive information about a plurality of storage 20 having different characteristics. The storage information is information such as the remaining charge or initial preparation time information of each storage 20, the real-time internal temperature or humidity of the storage 20 affecting the energy storage so as to make the best use of the electrical energy of the renewable energy source 12 Includes elements that exhibit non-linear form, such as environmental information.

3. Energy map  Calculation step S330 >

Based on the energy usage pattern information, energy production information, energy usage information, and storage information, the energy map for minimizing the electric bill is calculated. Since the information has already been described, the description thereof will be omitted. do. The energy map in the present invention predicts the electric energy production amount of the entire distributed power source 10 and the electrical energy usage of the energy demander in the short term, and minimizes the electric charge by considering each electric rate for the distributed power source 10 in real time. This is the result generated by the optimization algorithm. In other words, by monitoring the amount of electrical energy stored in the storage 20, the energy map is calculated in consideration of information such as how much electric energy is produced and stored from which distributed power source 10 and how much it is consumed. As a result, it produces results that optimize the consumption and distribution of electrical energy. At this time, if the energy map is calculated by further considering the energy usage pattern information, more accurate prediction is possible, and the effect of reducing electric charges can be maximized.

In particular, when the energy map is predicted to immediately use the electrical energy of the renewable energy source 12 through the energy use pattern information, the electrical energy of the renewable energy source 12 is stored in the first storage 21 having the fastest input / output speed. To be temporarily stored, and the surplus electric energy of the renewable energy source 12 is stored in the second storage 22 having a slow input / output speed compared to the first storage 21, and there is no charge remaining in the second storage 22. In this case, the third storage 23 capable of long-term storage of electrical energy includes information for storing electrical energy of the renewable energy source 12. The first storage 21 may be a super capacitor for temporarily storing electrical energy produced intermittently from the renewable energy source 12, the second storage 22 may be a battery, and the third storage 23 may be electrically It may be a new energy source for producing and storing energy, but is not limited thereto.

4. Electric energy storage or control stage S340 >

The electrical energy of the distributed power supply 10 is stored in the selected storage 20 according to the energy map in step S330, and the electrical energy is output from the selected storage 20.

For example, when the distributed power source 10 is a commercial power source, solar power generation, wind power generation, fuel cell, and the storage 20 is composed of a super capacitor and a battery, the fuel cell performs a role of storage at the same time. If the battery and fuel cell have little charge remaining, and the weather is clear and the wind blows, the electric energy produced by solar and wind power is temporarily stored in the supercapacitor and output to the energy demand source. When generated, surplus electrical energy will be stored in the battery. If the electric energy production from the solar power generation at night is not made, the electrical energy of the wind power is supplied to the energy demand, when the wind speed is weak, if a small amount of electrical energy production of the wind power, smooth power supply may not be possible. In this case, the electric energy stored in the battery is supplied to the energy demand source. When the battery is discharged because the amount of power consumed by the energy demand source is large, the fuel cell is operated before the battery is discharged to supply electric energy produced by the fuel cell. As described above, minimizing the use of electrical energy of the most expensive commercial power supply, the efficiency of reducing the electricity bill is high.

For example, as a result of analyzing the power usage pattern of the energy demand source, the power consumption is little during the week and is the maximum at the weekend, and as a result of monitoring the external environment, if the environment has sufficient light and wind during the daytime, the calculation module 150 ) Generates an energy map to minimize the electric charge in consideration of the above conditions. In order to minimize the electricity bill according to the energy map, the electrical energy of photovoltaic power generation and wind power generation is temporarily stored in a supercapacitor over the weekend and then supplied to the energy demand source, and the electric energy stored in the battery also increases as the power consumption increases. Is preferably supplied.

According to the present invention, by monitoring the amount of charge and discharge of each storage 20, how much electric energy is produced and stored from which distributed power supply 10, and considering the information such as how much the cost consumed therein energy By calculating the map, it is possible to produce results that optimize the consumption and distribution of electrical energy.

On the other hand, a smart micro grid operating method according to another embodiment of the present invention will be described with reference to the flowchart shown in FIG.

1. Storage step of energy usage pattern information S410 >

Stores energy usage pattern information on electrical energy usage patterns from energy demand sources.

2. Receive energy production information and energy usage information S420 >

Stores energy production information related to electrical energy production of distributed power supply 10 including commercial power source 11, renewable energy source 12, or new energy source 13, and energy use information regarding the use of electrical energy at energy demand sources. do. Here, the commercial power source 11 refers to a generator of a power company such as KEPCO, and the renewable energy source 12 is a renewable energy source such as solar, solar, bio energy, wind power, and hydropower that can replace fossil fuels and nuclear power. The generator using the possible energy, the new energy source 13 refers to a generator using a new energy different from the conventional, such as hydrogen, coal liquefied gas, the description thereof will be omitted because it is similar to the above. In addition, the energy production information includes information on the amount of electrical energy produced by each distributed power source 10, external information affecting the electrical energy production of each distributed power source 10, and the electrical energy production cost of each distributed power source 10. It contains at least one of the information about, and is also omitted as it is similar to the above described.

3. Energy map  Calculation step S430 >

Based on the energy production information, energy usage information, and energy usage pattern information, an energy map for minimizing an electric charge is calculated. That is, since the biggest problem of disseminating renewable energy is intermittent power generation, by applying various information to an optimization algorithm to optimally cross-produce electrical energy from various renewable energy sources 12, at any point in time, any distributed power source ( It is to predict whether the electricity bill can be minimized by producing electrical energy from 10). To this end, the energy map includes information for selecting the storage 20 in which the electrical energy of the renewable energy source 12 is to be stored in consideration of the charging characteristic and the input / output speed characteristic of the storage 20 so that the electric charge can be minimized. do. In addition, when the energy map is predicted to immediately use the electrical energy of the renewable energy source 12 through the energy use pattern information, the electrical energy of the renewable energy source 12 is stored in the first storage 21 having the fastest input / output speed. To be temporarily stored, and the surplus electric energy of the renewable energy source 12 is stored in the second storage 22 having a slow input / output speed compared to the first storage 21, and there is no charge remaining in the second storage 22. In this case, the third storage 23 capable of long-term storage of electrical energy includes information for storing electrical energy of the renewable energy source 12.

4. Energy map  Send step S440 >

The energy is stored in the energy control module 30 which controls the electric energy of the distributed power supply 10 to be stored in the selected storage 20 according to the energy map calculated in step S430, and outputs the electric energy from the selected storage 20. Send the map.

At this time, the energy control module 30 controls the electric energy of the distributed power source 10 to be stored in the selected storage 20 according to the energy map, and outputs the electric energy from the selected storage 20, such as school, industrial complex, etc. It is installed at the energy demand source to supply electricity by specific small regional unit or global unit. Idle power stored in the third storage 23 may be traded between energy demand sources.

As described above, even using the optimization algorithm according to the present invention, considerable computational time is required, and in the case of the renewable energy source 12, it is difficult to predict the energy production after 5 to 10 minutes in the future. Not only does it require a lot of information, but it also requires constant updates of energy usage patterns for accurate predictions. Therefore, the operating method according to the present invention is preferably executed in a server of the central computer center separately from the energy control module 30 installed in the energy demand, to provide an economic effect while overcoming the spatial constraints.

On the other hand, the operating method according to an embodiment of the present invention and another embodiment is implemented in the form of program instructions that can be executed by various computer means may be recorded on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the medium may be those specially designed and constructed for the present invention or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

The above description is merely illustrative of the technical idea of the present invention, and those skilled in the art to which the present invention pertains may make various modifications and changes without departing from the essential characteristics of the present invention. Therefore, the embodiments disclosed in the present invention are intended to illustrate rather than limit the scope of the present invention, and the scope of the technical idea of the present invention is not limited by these embodiments. The scope of protection of the present invention should be construed according to the following claims, and all technical ideas falling within the scope of the same shall be construed as falling within the scope of the present invention.

100, 200: Smart Micro Grid Operating System

Claims (23)

An energy input module for receiving electric energy from a distributed power source including a renewable energy source or a new energy source;
An energy production information receiving module for receiving energy production information related to electric energy production of the distributed power supply;
An energy usage information receiving module for receiving energy usage information on electrical energy usage from an energy demand source;
A storage information receiving module configured to receive storage information about a plurality of storages having different characteristics;
A calculation module for calculating an energy map for minimizing an electric charge based on the energy production information, energy usage information, and storage information; And
Energy control module for controlling the electrical energy of the distributed power is stored in the selected storage according to the energy map, the electrical energy is output from the selected storage
Smart Micro-Grid (Smart Micro-Grid) operating system comprising a. The method of claim 1,
The energy map,
Including information for selecting a storage in which electrical energy of the renewable energy source is stored in consideration of charging and input / output speed characteristics of the storages;
Smart micro grid operating system characterized in that. The method of claim 1,
Further comprising a usage pattern database for storing energy usage pattern information on the electrical energy usage pattern of the energy demand destination,
The calculation module calculates the energy map by further considering the energy usage pattern information.
Smart micro grid operating system characterized in that. The method of claim 3,
The energy map,
When the electrical energy of the renewable energy source is predicted to be used immediately through the energy use pattern information, the electrical energy of the renewable energy source is temporarily stored in the first storage having the fastest input / output speed,
The surplus electrical energy of the renewable energy source includes information for storing in the second storage having a slow input / output speed compared to the first storage.
Smart micro grid operating system characterized in that. 5. The method of claim 4,
The energy map,
If there is no charge remaining of the second storage includes information for storing the electrical energy of the renewable energy source in the third storage capable of long-term storage of electrical energy
Smart micro grid operating system characterized in that. The method of claim 3,
The energy map,
It includes information to start the new energy source in advance if the supply of electrical energy of the renewable energy source expected after a certain time from the current point of time through the energy use pattern information.
Smart micro grid operating system characterized in that. An energy production information receiving module for receiving energy production information related to electric energy production of a distributed power source including a renewable energy source or a new energy source;
An energy usage information receiving module for receiving energy usage information on electrical energy usage from an energy demand source;
A storage information receiving module configured to receive storage information regarding a plurality of storages having different characteristics;
A usage pattern database for storing energy usage pattern information on the electrical energy usage pattern of the energy demand destination;
A calculation module for calculating an energy map for minimizing an electric charge based on the energy production information, energy usage information, storage information, and energy usage pattern information; And
Energy map transmission module for transmitting the energy map to the energy control module for controlling the electrical energy is stored in the storage selected in accordance with the energy map and the electrical energy is output from the selected storage
Smart micro grid operating system comprising a. The method of claim 7, wherein
The energy map,
Including information for selecting a storage in which electrical energy of the renewable energy source is stored in consideration of charging and input / output speed characteristics of the storages;
Smart micro grid operating system characterized in that. 9. The method of claim 8,
The energy map,
When the electrical energy of the renewable energy source is predicted to be used immediately through the energy use pattern information, the electrical energy of the renewable energy source is temporarily stored in the first storage having the fastest input / output speed,
The surplus electrical energy of the renewable energy source includes information for storing in the second storage having a slow input / output speed compared to the first storage.
Smart micro grid operating system characterized in that. 10. The method of claim 9,
The energy map,
If there is no charge remaining of the second storage includes information for storing the electrical energy of the renewable energy source in the third storage capable of long-term storage of electrical energy
Smart micro grid operating system characterized in that. The method of claim 7, wherein
The energy map,
It includes information to start the new energy source in advance if the supply of electrical energy of the renewable energy source expected after a certain time from the current point of time through the energy use pattern information.
Smart micro grid operating system characterized in that. Energy production information related to electrical energy production of distributed power sources including renewable energy sources or new energy sources, energy usage information on the use of electrical energy from energy demand sources, and storage information on a plurality of storages having different characteristics. Receiving;
Calculating an energy map for minimizing an electric charge based on the energy production information, energy usage information, and storage information; And
Controlling electrical energy of a distributed power source to be stored in a selected storage according to the energy map or outputting electrical energy from a selected storage
Smart micro grid operating method comprising a. The method of claim 12,
The energy map,
Including information for selecting a storage in which electrical energy of the renewable energy source is stored in consideration of charging and input / output speed characteristics of the storages;
Smart micro grid operating method characterized in that. The method of claim 12,
Storing energy usage pattern information regarding the electric energy usage pattern of the energy demand destination;
The calculating may include calculating the energy map by further considering the energy usage pattern information.
Smart micro grid operating method characterized in that. 15. The method of claim 14,
The energy map,
When the electrical energy of the renewable energy source is predicted to be used immediately through the energy use pattern information, the electrical energy of the renewable energy source is temporarily stored in the first storage having the fastest input / output speed,
The surplus electrical energy of the renewable energy source includes information for storing in the second storage having a slow input / output speed compared to the first storage.
Smart micro grid operating method characterized in that. 16. The method of claim 15,
The energy map,
If there is no charge remaining of the second storage includes information for storing the electrical energy of the renewable energy source in the third storage capable of long-term storage of electrical energy
Smart micro grid operating method characterized in that. 15. The method of claim 14,
The energy map,
It includes information to start the new energy source in advance if the supply of electrical energy of the renewable energy source expected after a certain time from the current point of time through the energy use pattern information.
Smart micro grid operating method characterized in that. Storing energy usage pattern information on the electrical energy usage pattern from the energy demand source;
Receive energy production information related to the production of electrical energy of a distributed power source including a renewable energy source or a new energy source, energy usage information on electric energy use of the energy demand source, and storage information on a plurality of storages having different characteristics. Making;
Calculating an energy map for minimizing an electric charge based on the energy usage pattern information, energy production information, energy usage information, and storage information; And
Transmitting the energy map to an energy control module controlling electric energy of a distributed power source to be stored in a storage selected according to the energy map, and outputting the electric energy from the selected storage.
Smart micro grid operating method comprising a. 19. The method of claim 18,
The energy map,
Including information for selecting a storage in which electrical energy of the renewable energy source is stored in consideration of charging and input / output speed characteristics of the storages;
Smart micro grid operating method characterized in that. 20. The method of claim 19,
The energy map,
When the electrical energy of the renewable energy source is predicted to be used immediately through the energy use pattern information, the electrical energy of the renewable energy source is temporarily stored in the first storage having the fastest input / output speed,
The surplus electrical energy of the renewable energy source includes information for storing in the second storage having a slow input / output speed compared to the first storage.
Smart micro grid operating method characterized in that. 21. The method of claim 20,
The energy map,
If there is no charge remaining of the second storage includes information for storing the electrical energy of the renewable energy source in the third storage capable of long-term storage of electrical energy
Smart micro grid operating method characterized in that. 19. The method of claim 18,
The energy map,
It includes information to start the new energy source in advance if the supply of electrical energy of the renewable energy source expected after a certain time from the current point of time through the energy use pattern information.
Smart micro grid operating method characterized in that. A computer-readable recording medium having recorded thereon a program for executing the method of any one of claims 12 to 22.

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