A distributed wind-solar-hydrogen storage microgrid system energy management method

Abstract

The present invention relates to the field of energy management technology, and discloses a distributed wind-solar-hydrogen storage microgrid system energy management method, including: microgrid system data collection and analysis: using a data collection device installed in the microgrid system to collect the loads in the microgrid system and the amount of electric energy consumed by each load, and comprehensively analyzing the collected information data to analyze the peak power consumption of the microgrid system. By analyzing the information data collected by the data collection device, the peak power consumption of the microgrid system and the peak power generation of the photovoltaic power generation system, the wind power generation system, and the water electrolysis hydrogen generation system can be obtained respectively, and then the peak power consumption of the microgrid system is matched and compared with the peak power generation of the power generation system, so that several power generation systems can be matched to the microgrid system, and at the same time, it is determined whether the power generation of the matched several power generation systems can meet the energy consumption of the peak power consumption of the microgrid system.

Description

Technical Field

[0001] The present invention relates to the field of energy management technology, and more specifically discloses an energy management method for a distributed wind-solar-hydrogen storage microgrid system. Background Art

[0002] Electricity is not only an economical, practical, clean, easy to control and convert energy form, but also a special product provided by the power sector to power users with quality guaranteed by the three parties of generation, supply and use. Electricity is widely used in various fields such as power, lighting, chemistry, textiles, communications, broadcasting, etc. It is the main driving force for the development of science and technology and the leap of people's economy. Electricity plays a significant role in our lives and is one of the indispensable energy sources in daily life and production. With the development of environmental protection and the concept of sustainable development, the generation of electric energy is not limited to traditional thermal power generation. Various power generation methods that use renewable energy and are harmless to the environment are gradually emerging, such as photovoltaic power generation, wind power generation, water electrolysis hydrogen generation, etc. The electric energy generated by these power generation methods is processed and incorporated into the power grid for people to use. The electric energy generated by these methods will be controlled by the energy management system during the process of being incorporated into the power grid. However, the current energy management system can only manage a single type of energy, and cannot uniformly manage distributed photovoltaic power generation, wind power discharge and water electrolysis hydrogen generation, thus failing to meet the growing energy management needs. Summary of the invention

[0003] The present invention mainly provides an energy management method for a distributed wind-solar-hydrogen-storage microgrid system, which can solve the problem that the current energy management system can only manage a single energy type and cannot uniformly manage distributed photovoltaic power generation, wind power discharge and water electrolysis hydrogen power generation.

[0004] To solve the above technical problems, according to one aspect of the present invention, more specifically, a distributed wind-solar-hydrogen-storage microgrid system energy management method comprises the following steps:

[0005] S1. Data collection and analysis of microgrid system: using the data collection equipment installed in the microgrid system to collect the loads in the microgrid system and the amount of electricity consumed by each load, and comprehensively analyzing the collected information data to analyze the peak electricity consumption of the microgrid system;

[0006] S2. Data collection and analysis of power generation system: The data collection equipment installed in the photovoltaic power generation system, the wind power generation system and the water electrolysis hydrogen production system are used to collect the power generation of the photovoltaic power generation system, the wind power generation system and the water electrolysis hydrogen production system, and the collected information data are used to analyze the power generation peak period of the photovoltaic power generation system, the wind power generation system and the water electrolysis hydrogen production system;

[0007] S3, matching the microgrid system with the power generation system: matching and comparing the power consumption peak period of the microgrid system obtained in step S1 with the power generation peak period of the power generation system obtained in step S2, and matching several power generation systems with the power generation peak period that best matches the power consumption peak period of the microgrid system;

[0008] S4. Comprehensive analysis and judgment: Analyze the total power consumption of the microgrid system during the peak power consumption period based on the information data collected by the data acquisition equipment installed in the microgrid system; at the same time, analyze the power generated by several power generation systems during the peak power generation period that best matches the peak power consumption period of the microgrid system using the information data collected by the data acquisition equipment installed in the power generation system; and analyze and judge whether the power generated by several power generation systems during the peak power generation period can meet the power demand of the microgrid system during the peak power consumption period;

[0009] S5. Dispatching control processing: When it is determined in step S4 that the electric energy generated by several power generation systems during the power generation peak period closest to the power consumption peak period of the microgrid system cannot meet the electric energy consumed by the microgrid system during the power consumption peak period, other power generation systems are dispatched to participate in the operation of the microgrid system.

[0010] Furthermore, in S1, the specific process of obtaining the peak power consumption period of the microgrid system is: first, the number of loads loaded in the microgrid system and the daily energy consumption of each load are collected by a data acquisition device, and the above collected information data are comprehensively analyzed. If:

[0011]

[0012] If the current month m is the peak period of power consumption of the microgrid, then it is determined that the current month is not the peak period of power consumption of the microgrid; where Q i is the power consumption of each load i on each day d in each month m, is the rated energy consumption of each load i, md is the total number of days in each month, and S is the total number of loads.

[0013] Furthermore, in S2, the specific process of obtaining the peak power generation period of the power generation system is: first, the daily power generation of the photovoltaic power generation system, the wind power generation system and the water electrolysis hydrogen generation system are collected by the data acquisition equipment, and then if the monthly comprehensive power generation of the power generation system meets:

[0014]

[0015] If the current month m is the peak period of the current power generation system, then it is determined that the current month m is not the peak period of the current power generation system; where J dis the power generation of the photovoltaic power generation system (g) or wind power generation system (f) or water electrolysis hydrogen generation system (h) on day d of each month m, md is the total number of days m in each month, μ g,f,h It is a preset threshold parameter of a photovoltaic power generation system (g) or a wind power generation system (f) or a water electrolysis hydrogen generation system (h).

[0016] Furthermore, in said S3, when matching the power generation system to the microgrid, the power consumption peak period of the microgrid system obtained in step S1 is obtained, and the power generation peak period of the power generation system obtained in step S2 is obtained, and the two are matched and compared. If:

[0017]

[0018] Then the current power generation system is matched to the microgrid system; where m u is the peak month of electricity consumption of the microgrid system, m g is the peak power generation month of the power generation system, P(x) is the frequency of satisfying condition x, is the total number of months of peak electricity consumption in the microgrid system, and γ is a preset threshold parameter.

[0019] Furthermore, in S4, the specific process of judging whether the power generation of the power generation system matching the microgrid system can meet the power consumption demand of the microgrid system is as follows: first, the power generation peak period of the matching power generation system and the total power generation of each power generation peak period are obtained, and the power consumption peak period of the microgrid system and the power consumption of each peak period are obtained, and the above-obtained information data are comprehensively analyzed. If:

[0020]

[0021] It is determined that the electric energy generated by the power generation system currently matching the microgrid system during the peak period cannot meet the demand of the microgrid during the peak period. Conversely, it is determined that the electric energy generated by the power generation system currently matching the microgrid system during the peak period can meet the demand of the microgrid during the peak period. Among them, Q j is the power generation of power generation system f in each month j during the power generation peak period, A is the number of types of matching power generation systems, is the total number of months with peak power generation, I is the current generated by the power generation system, ρ is the resistivity of the grid-connected line, L is the length of the grid-connected line, S is the cross-sectional area of ​​the grid-connected line, t is the daily working time of the power generation system, Q k is the power consumption of the microgrid system during the peak period of each month, is the total number of months with peak electricity consumption in the microgrid system.

[0022] Furthermore, in said S5, in the process of scheduling other power generation systems to participate in the operation of the microgrid system, first, the power generation of other power generation systems that do not satisfy formula ① during each peak period of the power consumption peak period of the microgrid system is obtained. If the comprehensive power generation of other power generation systems during the power consumption peak period of the microgrid system satisfies:

[0023]

[0024] Then the other power generation system is called to participate in the operation process of the microgrid. Otherwise, the other current power generation system is not called to participate in the operation process of the microgrid. n is the power generation of other power generation systems at each peak period n during the peak power consumption period of the microgrid system.

[0025] Furthermore, in step S4, after determining that the power generation capacity of the power generation system matching the microgrid system can meet the needs of the microgrid system, and the power generation capacity of the matching power generation system is greater than the power consumption demand of the microgrid system, the excess electricity will be applied to the electrolysis of water in the hydrogen production system, thereby converting the excess electrical energy into hydrogen energy for storage or saving it in an energy storage device. In step S5, after other power generation systems are called to participate in the operation of the microgrid system, if excess electricity is generated, the excess electricity can also be processed in the above manner of electrolysis of water to produce hydrogen and storing it in an energy storage device.

[0026] Furthermore, in the process of storing the excess power in the electric energy storage device in S4 or S5, the current internal storage power of each electric energy storage device and the rated capacity of each electric energy storage device are obtained, and the excess power is first stored in the default electric energy storage device. At this time, if:

[0027] (W s +W n )>W max -((I c ) 2 ×R)·t c ⑦

[0028] It is determined that the default energy storage device cannot store all the extra energy; where W s is the extra power, W n is the current amount of electricity in the energy storage device, W max is the rated energy storage capacity of the energy storage device, I c is the input current of the energy storage device, R is the internal resistance of the energy storage device, t c The time for which the input current continues to flow into the energy storage device; the excess power is then divided into several small parts:

[0029]

[0030] Then store several small portions of electricity x in several energy storage devices; where Z is the total number of energy storage devices, W a is the remaining energy storage capacity of each energy storage device, R a is the internal resistance of each electrical energy storage device.

[0031] The beneficial effect of the energy management method of a distributed wind-solar-hydrogen storage microgrid system of the present invention is as follows: by analyzing the information data collected by the data acquisition device, the peak power consumption period of the microgrid system and the peak power generation period of the photovoltaic power generation system, the wind power generation system and the water electrolysis hydrogen generation system can be obtained respectively, and then the peak power consumption period of the microgrid system is matched and compared with the peak power generation period of the power generation system, so that several power generation systems can be matched to the microgrid system, and at the same time, it is judged that the power generation of the matched several power generation systems can meet the energy consumption of the microgrid system during the peak power consumption period. If it cannot be met, other power generation systems are dispatched to participate in the operation of the microgrid system. If it is met, other power generation systems do not need to be dispatched to participate in the operation of the microgrid system. In addition, when the power generation of the power generation system exceeds the power consumption of the microgrid system, the excess power will be used for water electrolysis to produce hydrogen to convert electrical energy into hydrogen energy for storage, or the excess power will be directly stored in the power storage device. Compared with the traditional energy management system, it can better manage the energy generated by the distributed renewable energy power generation system, so as to meet the growing energy management needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The present invention is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0033] Figure 1 A schematic diagram of the method flow chart. DETAILED DESCRIPTION

[0034] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present application can be combined with each other without conflict.

[0035] According to one aspect of the present invention, Figure 1 As shown, a distributed wind-solar-hydrogen storage microgrid system energy management method is provided. First, the loads loaded on the microgrid system and the daily energy consumption of each load are collected by data acquisition equipment, and then the collected data are comprehensively analyzed. If:

[0036]

[0037] If the current month m is the peak period of power consumption of the microgrid, then it is determined that the current month is not the peak period of power consumption of the microgrid; where Q i is the power consumption of each load i on each day d in each month m, is the rated energy consumption of each load i, md is the total number of days in each month, and S is the total number of loads.

[0038] At the same time, the data acquisition equipment is used to collect the daily power generation of the photovoltaic power generation system, the wind power generation system and the water electrolysis hydrogen generation system. If the monthly comprehensive power generation of the power generation system meets the following requirements:

[0039]

[0040] If the current month m is the peak period of the current power generation system, then it is determined that the current month m is not the peak period of the current power generation system; where J d is the power generation of the photovoltaic power generation system (g) or wind power generation system (f) or water electrolysis hydrogen generation system (h) on day d of each month m, md is the total number of days m in each month, μ g,f,h It is a preset threshold parameter of a photovoltaic power generation system (g) or a wind power generation system (f) or a water electrolysis hydrogen generation system (h).

[0041] Then, the peak power consumption period of the microgrid obtained above is matched and compared with the peak power generation period of the power generation system. If:

[0042]

[0043] Then the current power generation system is matched to the microgrid system; where m u is the peak month of electricity consumption of the microgrid system, m g is the peak power generation month of the power generation system, P(x) is the frequency of satisfying condition x, is the total number of months with peak electricity consumption in the microgrid system, and γ is a preset threshold parameter. Thus, several power generation systems with the peak electricity consumption period that best matches the peak electricity consumption period of the microgrid system can be matched.

[0044] Then obtain the peak power generation period of the matching power generation system and the total power generation of each peak power generation period, and obtain the peak power consumption period of the microgrid system and the power consumption of each peak period. If:

[0045]

[0046] It is determined that the electric energy generated by the power generation system currently matching the microgrid system during the peak period cannot meet the demand of the microgrid during the peak period. Conversely, it is determined that the electric energy generated by the power generation system currently matching the microgrid system during the peak period can meet the demand of the microgrid during the peak period. Among them, Qj is the power generation of power generation system f in each month j during the power generation peak period, A is the number of types of matching power generation systems, is the total number of months with peak power generation, I is the current generated by the power generation system, ρ is the resistivity of the grid-connected line, L is the length of the grid-connected line, S is the cross-sectional area of ​​the grid-connected line, t is the daily working time of the power generation system, Q k is the power consumption of the microgrid system during the peak period of each month, is the total number of months with peak electricity consumption in the microgrid system.

[0047] When it is determined that the electric energy generated by several power generation systems at the power generation peak period closest to the power consumption peak period of the microgrid system cannot meet the electric energy consumed by the microgrid system at the power consumption peak period, the power generation of other power generation systems that do not meet formula ③ at each peak period of the power consumption peak period of the microgrid system is obtained. If the comprehensive power generation of other power generation systems at the power consumption peak period of the microgrid system meets:

[0048]

[0049] Then the other power generation system is called to participate in the operation process of the microgrid. Otherwise, the other current power generation system is not called to participate in the operation process of the microgrid. n is the power generation of other power generation systems at each peak period n during the peak power consumption period of the microgrid system.

[0050] In this embodiment, after determining that the power generation capacity of the power generation system matched with the microgrid system can meet the power consumption demand of the microgrid system, and the power generation capacity of the matched power generation system is greater than the power consumption demand of the microgrid system, the excess power will be applied to the electrolysis of water in the hydrogen production system, thereby converting the excess power into hydrogen energy for storage or saving it in an energy storage device. At the same time, after calling other power generation systems to participate in the operation of the microgrid system, if excess power is generated, the excess power can also be processed in the above way of electrolysis of water and hydrogen production and storage in an energy storage device.

[0051] In the process of storing the excess power in the energy storage device, the current internal storage power of each energy storage device and the rated capacity of each energy storage device are obtained, and the excess power is first stored in the default energy storage device. At this time, if:

[0052] (W s +W n )>W max -((I c ) 2 ×R)·t c ⑦

[0053] It is determined that the default energy storage device cannot store all the extra energy; where W s is the extra power, W n is the current amount of electricity in the energy storage device, W max is the rated energy storage capacity of the energy storage device, I c is the input current of the energy storage device, R is the internal resistance of the energy storage device, t c The time for which the input current continues to flow into the energy storage device; the excess power is then divided into several small parts:

[0054]

[0055] Then store several small portions of electricity x in several energy storage devices; where Z is the total number of energy storage devices, W a is the remaining energy storage capacity of each energy storage device, R a The internal resistance of each energy storage device is used to prevent the excess energy from being unable to be stored in the energy storage device.

[0056] Of course, the above description is not a limitation of the present invention, and the present invention is not limited to the above examples. Changes, modifications, additions or substitutions made by ordinary technicians in this technical field within the essential scope of the present invention also fall within the protection scope of the present invention.

Claims

1. A distributed wind-solar-hydrogen-storage microgrid system energy management method, characterized in that: The following steps are involved: S1. Data collection and analysis of microgrid system: using the data collection equipment installed in the microgrid system to collect the loads in the microgrid system and the amount of electricity consumed by each load, and comprehensively analyzing the collected information data to analyze the peak electricity consumption of the microgrid system; S2. Data collection and analysis of power generation system: The data collection equipment installed in the photovoltaic power generation system, the wind power generation system and the water electrolysis hydrogen production system are used to collect the power generation of the photovoltaic power generation system, the wind power generation system and the water electrolysis hydrogen production system, and the collected information data are used to analyze the power generation peak period of the photovoltaic power generation system, the wind power generation system and the water electrolysis hydrogen production system; S3, matching the microgrid system with the power generation system: matching and comparing the power consumption peak period of the microgrid system obtained in step S1 with the power generation peak period of the power generation system obtained in step S2, and matching several power generation systems with the power generation peak period that best matches the power consumption peak period of the microgrid system; S4. Comprehensive analysis and judgment: Analyze the total power consumption of the microgrid system during the peak power consumption period based on the information data collected by the data acquisition equipment installed in the microgrid system; at the same time, analyze the power generated by several power generation systems during the peak power generation period that best matches the peak power consumption period of the microgrid system using the information data collected by the data acquisition equipment installed in the power generation system; and analyze and judge whether the power generated by several power generation systems during the peak power generation period can meet the power demand of the microgrid system during the peak power consumption period; S5. Dispatching control processing: When it is determined in step S4 that the electric energy generated by several power generation systems during the power generation peak period closest to the power consumption peak period of the microgrid system cannot meet the electric energy consumed by the microgrid system during the power consumption peak period, other power generation systems are dispatched to participate in the operation of the microgrid system.

2. A distributed wind-solar-hydrogen-storage microgrid system energy management method according to claim 1, characterized in that: In S1, the specific process of obtaining the peak power consumption period of the microgrid system is as follows: first, the number of loads loaded in the microgrid system and the daily energy consumption of each load are collected by data acquisition equipment, and the above collected information data are comprehensively analyzed. If: If the current month m is the peak period of electricity consumption of the microgrid, then it is determined that the current month is not the peak period of electricity consumption of the microgrid; where Q i is the power consumption of each load i on each day d in each month m, is the rated energy consumption of each load i, md is the total number of days in each month, and S is the total number of loads.

3. A distributed wind-solar-hydrogen storage microgrid system energy management method according to claim 1, characterized in that: In S2, the specific process of obtaining the peak power generation period of the power generation system is: first, the daily power generation of the photovoltaic power generation system, the wind power generation system and the water electrolysis hydrogen generation system are collected by the data acquisition equipment, and then if the monthly comprehensive power generation of the power generation system meets: If the current month m is the peak period of the current power generation system, then it is determined that the current month m is not the peak period of the current power generation system; where J d is the power generation of the photovoltaic power generation system (g) or wind power generation system (f) or water electrolysis hydrogen generation system (h) on day d of each month m, md is the total number of days m in each month, μ g,f,h It is a preset threshold parameter of a photovoltaic power generation system (g) or a wind power generation system (f) or a water electrolysis hydrogen generation system (h).

4. A distributed wind-solar-hydrogen-storage microgrid system energy management method according to claim 1, characterized in that: In S3, when matching the power generation system to the microgrid, the peak power consumption period of the microgrid system obtained in step S1 is obtained, and the peak power generation period of the power generation system obtained in step S2 is obtained, and the two are matched and compared. If: Then the current power generation system is matched to the microgrid system; where m u is the peak month of electricity consumption of the microgrid system, m g is the peak power generation month of the power generation system, P(x) is the frequency of satisfying condition x, is the total number of months of peak electricity consumption in the microgrid system, and γ is a preset threshold parameter.

5. A distributed wind-solar-hydrogen storage microgrid system energy management method according to claim 4, characterized in that: In S4, the specific process of judging whether the power generation of the power generation system matched with the microgrid system can meet the power consumption demand of the microgrid system is as follows: first, the power generation peak period of the matched power generation system and the total power generation of each power generation peak period are obtained, and the power consumption peak period of the microgrid system and the power consumption of each peak period are obtained, and the above-obtained information data are comprehensively analyzed. If: It is determined that the electric energy generated by the power generation system currently matching the microgrid system during the peak period cannot meet the demand of the microgrid during the peak period. Conversely, it is determined that the electric energy generated by the power generation system currently matching the microgrid system during the peak period can meet the demand of the microgrid during the peak period. Among them, Q j is the power generation of power generation system f in each month j during the power generation peak period, A is the number of types of matching power generation systems, is the total number of months with peak power generation, I is the current generated by the power generation system, ρ is the resistivity of the grid-connected line, L is the length of the grid-connected line, S is the cross-sectional area of ​​the grid-connected line, t is the daily working time of the power generation system, Q k is the power consumption of the microgrid system during the peak period of each month, is the total number of months with peak electricity consumption in the microgrid system.

6. A distributed wind-solar-hydrogen-storage microgrid system energy management method according to claim 5, characterized in that: In the above S5, in the process of scheduling other power generation systems to participate in the operation of the microgrid system, first, the power generation of other power generation systems that do not satisfy formula ③ during each peak period of the microgrid system power consumption peak period is obtained. If the comprehensive power generation of other power generation systems during the microgrid system power consumption peak period satisfies: Then the other power generation system is called to participate in the operation process of the microgrid. Otherwise, the other current power generation system is not called to participate in the operation process of the microgrid. n is the power generation of other power generation systems at each peak period n during the peak power consumption period of the microgrid system.

7. A distributed wind-solar-hydrogen-storage microgrid system energy management method according to claim 1, characterized in that: In the step S4, after judging that the power generation capacity of the power generation system matched with the microgrid system can meet the needs of the microgrid system, and the power generation capacity of the matched power generation system is greater than the power consumption demand of the microgrid system, the excess electricity will be applied to the electrolysis of water to produce hydrogen in the electrolysis of water to produce hydrogen power generation system, thereby converting the excess electrical energy into hydrogen energy for storage or saving it in an electric energy storage device. In the step S5, after calling other power generation systems to participate in the operation of the microgrid system, if excess electricity is generated, the excess electricity will be processed in accordance with the above method of electrolysis of water to produce hydrogen and storing it in an electric energy storage device.

8. A distributed wind-solar-hydrogen-storage microgrid system energy management method according to claim 7, characterized in that: In the above S4 or S5, in the process of storing the excess power in the electric energy storage device, the current internal storage power of each electric energy storage device and the rated capacity of each electric energy storage device are obtained, and the excess power is first stored in the default electric energy storage device. At this time, if: (W s +W n )>W max -((I c ) 2 ×R)·t c ⑦ It is determined that the default energy storage device cannot store all the extra energy; where W s is the extra power, W n is the current amount of electricity in the energy storage device, W max is the rated energy storage capacity of the energy storage device, I c is the input current of the energy storage device, R is the internal resistance of the energy storage device, t c The time for which the input current continues to flow into the energy storage device; the excess power is then divided into several small parts: Then store several small portions of electricity x in several energy storage devices; where Z is the total number of energy storage devices, W a is the remaining energy storage capacity of each energy storage device, R a is the internal resistance of each electrical energy storage device.

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