A coordinated control method for the complementary energy of water, wind, solar, hydrogen and natural gas

Abstract

The present invention discloses a method for coordinated control of multi-energy complementarity of water, wind, solar, hydrogen and natural gas. The present invention relates to the field of energy coordinated control technology and solves the technical problem that the overall power generation efficiency and power generation are not coordinated scientifically, resulting in abnormal coordination of the overall power generation efficiency and power generation. The present invention calculates the power generation efficiency and judges the power balance constraint through a comprehensive energy model, generates signals in time, and greatly improves the accuracy and timeliness of energy status assessment. Secondly, the peak power consumption period is subdivided and coordinated according to characteristics. During the day, energy is selected based on energy storage to ensure supply. At night, power is allocated by optimization algorithm to reduce costs and improve efficiency. Innovative scheduling methods are used. Then, the difference between power generation and load is accurately calculated during normal power consumption periods, and surplus electricity is stored to produce hydrogen, thereby enhancing the flexibility and energy storage capacity of the system. Finally, when the power generation efficiency is insufficient, the adjustable energy is scientifically screened, the power to be coordinated is allocated and the adjustment efficiency is calculated, the potential of renewable energy is tapped, and its contribution to the system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy coordinated control, and specifically to a method for coordinated control of multiple energies including water, wind, solar, hydrogen and natural gas. Background Art

[0002] In the current energy management system, with the widespread use of renewable energy (such as hydropower, wind power, and solar power) and the diversification of energy structures, how to efficiently, flexibly, and stably achieve complementarity and coordinated control among multiple energy sources while improving energy utilization efficiency and system stability has become an urgent problem to be solved.

[0003] The patent with publication number CN115438981A discloses a method for optimizing and improving the dynamic energy consumption of a park's smart energy system. The park's smart energy system is formed by coupling multiple energy systems such as power supply, gas supply, heating and cooling. By integrating multiple energy forms such as electricity, natural gas, thermal energy and renewable energy in the park, it optimizes the scheduling of various energy sources to participate in comprehensive demand response, realizes the "strengths and weaknesses" of different energy sources, and achieves complementary utilization, thereby improving the quality and efficiency of the park's smart energy system.

[0004] However, when some existing coordinated control systems coordinate multiple energy sources, due to the intermittent nature of renewable energy, it is easy for the power generation efficiency to fail to meet the total power load. When the power generation efficiency does not meet the power load and there is adjustable energy, how to scientifically calculate the adjustment efficiency of the adjustable energy and adjust the power generation efficiency to make up for the difference in power generation is also an urgent problem to be solved. Summary of the Invention

[0005] In response to the shortcomings of the existing technology, the present invention provides a multi-energy complementary coordinated control method for water, wind, solar, hydrogen and natural gas, which solves the problem of unscientific coordinated power generation of energy, resulting in overall coordination anomalies in power generation efficiency and power generation.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a multi-energy complementary coordinated control method of water, wind, solar, hydrogen and natural gas, which specifically includes the following steps:

[0007] Step 1: Establish a comprehensive energy model and calculate the power generation efficiency corresponding to different energy sources. Then, determine whether the power balance constraint is met based on the power generation efficiency and generate a judgment result.

[0008] Step 2: Analyze the generated electricity satisfaction signal and classify the different electricity consumption periods in the region into peak periods and normal periods. At the same time, coordinate the energy use during peak periods and normal periods to generate regulation control information;

[0009] Step 3: Analyze the generated electricity demand dissatisfaction signal, analyze the power generation efficiency of the power generation energy, select renewable energy sources that can be adjusted for efficiency, and obtain the corresponding power generation difference;

[0010] Step 4: Analyze the obtained renewable adjustable energy, and adjust the power generation efficiency of the renewable adjustable energy according to the amount of electricity to be coordinated, and generate corresponding coordination control information;

[0011] Step 5: Display the obtained coordinated control information to the corresponding operator.

[0012] As a further solution of the present invention, a specific method of calculating the power generation efficiency of different energy sources is as follows:

[0013] The electric power formula is P 水 =ρ 水 gQHη, where P 水 is the hydropower generation power, ρ 水 is the density of water, g is the acceleration of gravity, Q is the water flow rate, H is the water head height, and η is the efficiency of the hydropower unit;

[0014] For wind power, the relationship between power output and wind speed is usually expressed as To describe, where P 风 is the wind power generation power, ρ 气 is the density of air, A is the swept area of the wind wheel, V is the wind speed, C p is the wind energy utilization coefficient, the specific value is set by the operator;

[0015] For photovoltaics, its power output is related to the light intensity and the area of the photovoltaic cell. The general expression is P 光 =η pv S pv I, where P 光 is the photovoltaic power generation power, η pv is the conversion efficiency of photovoltaic cells, S pv is the area of the photovoltaic cell, and I is the light intensity.

[0016] As a further solution of the present invention, the specific method of generating the judgment result in step 1 is:

[0017] According to the collected data, the mixed integer linear programming method is used to meet the Among them, P load The total power load is obtained based on the above energy summation formula to obtain the total power load of the corresponding area, and it is judged whether the current power generation efficiency can meet the total power load. If the total power load can be met, a power satisfaction signal is generated. Otherwise, if the power load cannot be met, a power dissatisfaction signal is generated.

[0018] As a further solution of the present invention, the specific method of analyzing the electricity satisfaction signal in step 2 is:

[0019] Obtain the target area and its electricity consumption records, determine the peak and normal periods of electricity consumption in the target area based on the electricity consumption records, and then obtain the main power generation energy sources corresponding to the peak and normal periods respectively;

[0020] Conduct coordinated control analysis on the peak power consumption period in the target area to obtain the peak power consumption period. At the same time, perform secondary classification on the peak power consumption period to obtain the daytime peak period and the evening peak period. Then, obtain the power generation of the main power generation energy corresponding to the daytime peak period and record it as the power generation to be analyzed. Obtain the total power load corresponding to the daytime peak period and record it as the first load. At the same time, compare the power generation to be analyzed with the first load to generate a normal monitoring signal and an energy coordination signal. Analyze the energy coordination signal to generate coordinated control information.

[0021] Analyze the evening peak period to obtain all the power generation energy, and according to the formula The analysis adjusts the power generation energy with the goal of minimizing energy costs and maximizing energy supply reliability, and generates coordinated control information.

[0022] As a further solution of the present invention, the specific method of analyzing the energy coordination signal in step 2 to generate the coordination control information is:

[0023] If the power generation to be analyzed is greater than the first load, it means that the power generation efficiency of the main power generation energy can meet the corresponding load demand, and a normal monitoring signal is generated. If the power generation to be analyzed is less than the first load, it means that the power generation efficiency of the main power generation energy cannot meet the corresponding load demand, and an energy coordination signal is generated. The energy coordination signal is analyzed to obtain all power generation energies and the storage capacity corresponding to the power generation energy. The power generation energy corresponding to the largest storage capacity is selected for power generation adjustment to generate coordinated control information.

[0024] As a further solution of the present invention, the specific method of analyzing the normal power consumption period in step 2 is:

[0025] The total power generation corresponding to the normal power consumption period is obtained, and the total load corresponding to the target area is obtained at the same time. The difference between the total power generation and the total load is calculated, and the calculated power generation is stored. At the same time, the stored power generation is used to electrolyze water to produce hydrogen and generate coordinated control information.

[0026] As a further solution of the present invention, the specific method of analyzing the power consumption unsatisfactory signal in step 3 is:

[0027] Obtain all power generation energy sources and their corresponding power generation efficiencies, and compare the power generation efficiencies with preset values. If the power generation efficiency is less than the preset value, it indicates that the power generation efficiency of the corresponding power generation energy source can be adjusted, and the corresponding power generation energy source is marked as an adjustable energy source. If the power generation efficiency is equal to the preset value, it indicates that the power generation efficiency of the corresponding power generation energy source cannot be adjusted, and the corresponding power generation energy source is marked as an unadjustable energy source.

[0028] Then all adjustable energy sources are obtained, and the adjustable energy sources are screened to obtain renewable adjustable energy sources and non-renewable adjustable energy sources. The obtained renewable adjustable energy sources are labeled as a, and a=1, 2, ..., b, where b represents the number of renewable adjustable energy sources. Then the difference between the total power generation and the total load in the target area is calculated, and recorded as the power to be coordinated.

[0029] As a further solution of the present invention, the specific method of analyzing the renewable adjustable energy and generating the coordinated control information in step 4 is:

[0030] The power generation efficiency of all renewable adjustable energy sources is obtained, and the corresponding power to be coordinated is obtained at the same time. Then the power to be coordinated is evenly divided according to the number of renewable adjustable energy sources to generate a single portion of power to be adjusted. The regulation efficiency of the renewable adjustable energy is calculated based on the single portion of power to be adjusted. The power generation efficiency of the renewable adjustable energy is adjusted according to the calculated regulation efficiency, and coordination control information is generated.

[0031] The present invention provides a coordinated control method for the complementary energy of water, wind, solar, hydrogen and natural gas. Compared with the existing technology, it has the following advantages:

[0032] By establishing a detailed comprehensive energy model, the present invention can accurately calculate the power generation efficiency of different energy sources, and based on this, accurately judge whether the power balance constraints are met, thereby timely generating power consumption satisfaction or non-satisfaction signals, providing a reliable basis for subsequent energy coordination and control. Compared with traditional energy management systems, the accuracy and timeliness of energy status assessment have been greatly improved.

[0033] Secondly, during peak electricity consumption periods, the system meticulously categorizes peak periods into daytime peak periods and evening peak periods, and coordinates and controls them based on the characteristics of each period and the energy supply situation. During daytime peak periods, when the primary power generation energy source is insufficient, the system can quickly select appropriate energy sources (such as hydrogen storage) based on energy storage capacity to adjust power generation and ensure a stable power supply. During evening peak periods, with the goals of minimizing energy costs and maximizing supply reliability, the system utilizes optimization algorithms to rationally allocate power from hydropower, wind power, hydrogen storage fuel cell power generation, and natural gas power generation, effectively reducing energy costs and improving energy efficiency. This is a significant innovation that distinguishes it from existing technologies using single or simple combined energy scheduling methods.

[0034] Third, during periods of normal electricity consumption, the difference between total power generation and total load can be accurately calculated, and the excess electricity can be stored and used to electrolyze water to produce hydrogen, thus achieving effective storage of electrical energy and conversion of energy forms, and improving the flexibility and energy storage capacity of the entire energy system.

[0035] Fourthly, when the power generation efficiency does not meet the power load, by scientifically screening the adjustable energy, the power to be coordinated is reasonably allocated to the renewable adjustable energy, and its adjustment efficiency is accurately calculated to adjust the power generation efficiency. This fully taps the adjustment potential of renewable energy, increases the contribution of renewable energy to the entire energy system, and helps promote the energy structure to develop in a cleaner and more sustainable direction. This is also a significant difference from traditional energy coordination control methods in the depth and breadth of renewable energy utilization. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a diagram of the steps of the present invention. DETAILED DESCRIPTION

[0037] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0038] For example 1, please refer to Figure 1 The present application provides a method for coordinated control of water, wind, solar, hydrogen and natural gas multi-energy complementarity, which specifically includes the following steps:

[0039] Step 1: Establish a comprehensive energy model and calculate the power generation efficiency corresponding to different energy sources respectively. Then, determine whether the power balance constraint is met based on the power generation efficiency and generate a judgment result.

[0040] First, it is necessary to establish detailed energy conversion and transmission models for the five energy forms of water (hydropower), wind (wind power), light (photovoltaic), hydrogen (hydrogen energy) and natural gas (mainly used for power generation, heating, etc.). For hydropower, the influence of factors such as water flow and head height on power generation should be considered. The power generation formula is P 水 =ρ 水 gQHη, where P 水 is the hydropower generation power, ρ 水 is the density of water, g is the acceleration of gravity, Q is the water flow rate, H is the water head height, and η is the efficiency of the hydropower unit;

[0041] For wind power, the relationship between power output and wind speed is usually expressed as To describe, where P风 is the wind power generation power, ρ 气 is the density of air, A is the swept area of the wind wheel, V is the wind speed, C p is the wind energy utilization coefficient, the specific value is set by the operator;

[0042] For photovoltaics, its power output is related to the light intensity and the area of the photovoltaic cell. The general expression is P 光 =η pv S pv I, where P 光 is the photovoltaic power generation power, η pv is the conversion efficiency of photovoltaic cells, S pv is the area of the photovoltaic cell, I is the light intensity;

[0043] According to the collected data, the mixed integer linear programming (MILP) method is used to meet the Among them, P load The total power load is obtained based on the above energy summation formula, and the total power load of the corresponding area is determined. If the current power generation efficiency can meet the total power load, a power satisfaction signal is generated. Otherwise, if the power load cannot be met, a power dissatisfaction signal is generated.

[0044] Step 2: Analyze the generated electricity satisfaction signal and classify the different electricity consumption periods in the region into peak periods and normal periods. At the same time, coordinate the energy use during peak periods and normal periods to generate regulation control information.

[0045] Obtain a target area, and the target area here refers to the area corresponding to energy supply and power generation, which is set by the operator. At the same time, obtain the electricity consumption records of the target area, and determine the peak electricity consumption period and normal period of the target area based on the electricity consumption records. The normal period here includes the valley period, such as 9:00 to 11:00 a.m. and 7:00 to 10:00 p.m. on weekdays. These periods usually show peak electricity consumption characteristics due to concentrated industrial production and large residential electricity consumption. For example, 2:00 to 5:00 a.m. is often the valley period of electricity consumption. At this time, most industrial enterprises stop working and production, and residential electricity consumption also decreases significantly. The rest of the time between the peak period and the valley period is the normal period. Then, obtain the main power generation energy corresponding to the peak electricity consumption period and the normal period respectively. The main power generation energy here refers to the energy consumption with the largest power generation, such as photovoltaic power generation, hydropower generation, etc.

[0046] Conduct coordinated control analysis on the peak electricity consumption period in the target area to obtain the peak electricity consumption period. At the same time, perform secondary classification on the peak electricity consumption period to obtain the daytime peak period and the evening peak period. Then, obtain the power generation of the main power generation energy corresponding to the daytime peak period and record it as the power generation to be analyzed. Also obtain the total power load corresponding to the daytime peak period and record it as the first load. At the same time, compare the power generation to be analyzed with the first load.

[0047] For example, in a certain urban area, through analysis of a large amount of historical electricity consumption data and real-time electricity consumption monitoring, it was found that its daytime peak period is concentrated between 9:00 AM and 5:00 PM, mainly due to the concentrated electricity consumption of many commercial institutions, office buildings, and industrial production activities during this period; while the evening peak period is between 6:00 PM and 10:00 PM, due to the large number of household electrical devices turned on after get off work. At the same time, the total electricity load of the entire target area during the daytime peak period is accurately calculated and recorded as the first load. For example, statistics show that during a typical daytime peak period, the total power generation of the main power generation energy sources in the area is 500 megawatts (the power generation to be analyzed), while the total power load in the area reaches 600 megawatts (the first load).

[0048] If the power generation to be analyzed is greater than the first load, it means that the power generation efficiency of the main power generation energy can meet the corresponding load demand, and a normal monitoring signal is generated. If the power generation to be analyzed is less than the first load, it means that the power generation efficiency of the main power generation energy cannot meet the corresponding load demand, and an energy coordination signal is generated. The energy coordination signal is analyzed to obtain all power generation energy and the storage capacity corresponding to the power generation energy. The power generation energy corresponding to the largest storage capacity is selected for power generation adjustment to generate coordination control information.

[0049] For example, in an integrated energy system encompassing hydropower, wind power, photovoltaics, hydrogen storage, and natural gas power generation, testing revealed 20 MWh of hydropower storage, no wind power storage, 10 MWh of photovoltaics storage, 50 MWh of hydrogen storage, and sufficient natural gas reserves. Since hydrogen storage is the largest of these energy sources, the system will select the power generation facilities corresponding to hydrogen storage for power regulation. By rationally controlling parameters such as the power generation of hydrogen fuel cells, the system will address power shortfalls and ensure a stable power supply. Detailed coordination control information will also be generated, including the start time, power adjustment range, and estimated duration of hydrogen storage power generation, enabling precise control and effective management of the entire energy coordination process.

[0050] Analyze the evening peak period to obtain all the power generation energy, and according to the formula The analysis adjusts the power generation energy with the goal of minimizing energy costs and maximizing energy supply reliability, and generates coordinated control information.

[0051] Taking a certain urban area as an example, during the evening peak period, the total electricity load is 800 megawatts. After analysis, the cost of hydropower generation is relatively low, at about 0.3 yuan per megawatt-hour, but its current upper limit of adjustable power generation is 200 megawatts; wind power has a relatively stable wind speed at night, with a power generation cost of about 0.4 yuan / MWh, and can provide 150 megawatts of power; photovoltaic power has basically no power generation capacity at night; natural gas power generation cost is relatively high, at about 0.6 yuan / MWh, but the power generation range is wide, and can provide up to 500 megawatts of power; hydrogen storage fuel cell power generation cost is about 0.5 yuan / MWh, and the current hydrogen storage capacity can support a power generation capacity of 100 megawatts.

[0052] Through optimization algorithm calculations, under the premise of meeting the power balance constraints, in order to minimize costs, priority is given to dispatching hydropower to generate 200 megawatts of power, wind power to generate 150 megawatts of power, and then starting hydrogen storage fuel cells to generate 100 megawatts of power. The remaining 350 megawatts of power gap is made up by natural gas power generation.

[0053] The target area's normal electricity consumption period is analyzed to obtain the total power generation corresponding to this period. The total load corresponding to the target area is also obtained. The difference between the total power generation and the total load is calculated. The calculated power generation is stored and used to produce hydrogen through water electrolysis, generating coordinated control information. When there is excess electricity, the rate of hydrogen production through water electrolysis is accelerated, and the excess electricity is stored as hydrogen. The rate of hydrogen production can be controlled by adjusting the current and voltage of the electrolyzer. For example, increasing the operating voltage of the electrolyzer increases the rate of the electrolysis reaction and increases hydrogen production. When there is a power shortage, the stored hydrogen is used to generate electricity through a fuel cell, which is then fed into the grid.

[0054] Step 3: Analyze the generated electricity dissatisfaction signal, analyze the power generation efficiency of the power generation energy, screen renewable energy sources that can adjust the efficiency, and obtain the corresponding power generation difference.

[0055] Obtain all power generation energy sources and their corresponding power generation efficiencies, and compare the power generation efficiencies with preset values. The preset values are expressed as the corresponding maximum power generation efficiency. The specific values are determined by professional operators based on the design parameters of the energy facilities, past operating data, and technology upgrades. If the power generation efficiency is less than the preset value, it indicates that the power generation efficiency of the corresponding power generation energy source can be adjusted, and the corresponding power generation energy source is marked as adjustable energy. If the power generation efficiency is equal to the preset value, it indicates that the power generation efficiency of the corresponding power generation energy source cannot be adjusted, and the corresponding power generation energy source is marked as non-adjustable energy.

[0056] For example, in a regional energy network that includes multiple energy sources, the current power generation efficiency of a hydropower plant is measured to be 40%, the power generation efficiency of a wind farm is 35%, the power generation efficiency of a photovoltaic power station is 18%, and the power generation efficiency of a natural gas power plant is 38%. The preset maximum power generation efficiency of a new high-efficiency hydropower plant is set to 45%, the preset value of an advanced wind farm is 40%, the preset value of a specific photovoltaic power station is 22%, and the preset value of a natural gas power plant is 42%. For example, the hydropower plant (40% < 45%), wind farm (35% < 40%), and photovoltaic power station (18% < 22%) in the above examples indicate that the power generation efficiency of this power generation energy has room for further adjustment and improvement, and it is marked as adjustable energy.

[0057] Then all adjustable energy sources are obtained, and the adjustable energy sources are screened to obtain renewable adjustable energy sources and non-renewable adjustable energy sources. The obtained renewable adjustable energy sources are labeled as a, and a=1, 2, ..., b, where b represents the number of renewable adjustable energy sources. Then the difference between the total power generation and the total load in the target area is calculated, and recorded as the power to be coordinated.

[0058] Step 4: Analyze the obtained renewable adjustable energy, and adjust and analyze the power generation efficiency of the renewable adjustable energy according to the amount of electricity to be coordinated, and generate corresponding coordination control information.

[0059] The power generation efficiency of all renewable adjustable energy sources is obtained, and the corresponding power to be coordinated is obtained at the same time. Then the power to be coordinated is evenly divided according to the number of renewable adjustable energy sources to generate a single portion of power to be adjusted. The regulation efficiency of the renewable adjustable energy is calculated based on the single portion of power to be adjusted. The power generation efficiency of the renewable adjustable energy is adjusted according to the calculated regulation efficiency, and coordination control information is generated.

[0060] For example, in a comprehensive energy supply area, hydropower, wind power, and photovoltaic power are identified as renewable and adjustable energy sources. The current power generation efficiency of hydropower is 38%, wind power is 30%, and photovoltaic power is 15%.

[0061] At the same time, the amount of electricity to be coordinated corresponding to each renewable and adjustable energy source is accurately obtained. Assume that the amount of electricity to be coordinated for hydropower is 300 MWh, for wind power is 200 MWh, and for photovoltaic power is 100 MWh.

[0062] Next, the total amount of electricity to be coordinated is evenly divided according to the number of renewable and adjustable energy sources to generate a single portion of electricity to be coordinated. In this example, there are three types of renewable and adjustable energy sources, and the total amount of electricity to be coordinated is 300 + 200 + 100 = 600 MWh. Therefore, the single portion of electricity to be coordinated is 600 ÷ 3 = 200 MWh.

[0063] Next, the regulation efficiency of each renewable energy source is calculated based on the amount of electricity to be regulated. For hydropower, the regulation efficiency calculation may involve factors such as turbine regulation parameters and reservoir water level regulation range. Assuming that hydropower meets the requirement of 200 megawatt-hours of regulated electricity, its regulation efficiency must be increased to 42%. Wind power, for example, may involve adjusting the wind turbine pitch angle and optimizing wind speed prediction. According to calculations, to meet the requirement of regulated electricity, its regulation efficiency must be increased to 35%. Photovoltaic power may also consider factors such as the cleanliness of the photovoltaic panels and the optimization of the solar tracking system. It is calculated that to meet the requirement of regulated electricity, its regulation efficiency must be increased to 20%.

[0064] Step 5: Display the obtained coordinated control information to the corresponding operator.

[0065] Some of the data in the above formulas are dimensionless and numerically calculated. Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0066] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A coordinated control method for the complementary energy of water, wind, solar, hydrogen and natural gas, characterized in that: The method specifically comprises the following steps: Step 1: Establish a comprehensive energy model and calculate the power generation efficiency corresponding to different energy sources. Then, determine whether the power balance constraint is met based on the power generation efficiency and generate a judgment result. Step 2: Analyze the generated electricity satisfaction signal and classify the different electricity consumption periods in the region into peak periods and normal periods. At the same time, coordinate the energy use during peak periods and normal periods to generate coordinated control information; Step 3: Analyze the generated electricity demand dissatisfaction signal, analyze the power generation efficiency of the power generation energy, select renewable energy sources that can be adjusted for efficiency, and obtain the corresponding power generation difference; Step 4: Analyze the obtained renewable adjustable energy, and adjust and analyze the power generation efficiency of the renewable adjustable energy according to the power to be coordinated, and generate corresponding coordination control information; Step 5: Display the obtained coordinated control information to the corresponding operator.

2. The water, wind, solar, hydrogen and natural gas multi-energy complementary coordinated control method according to claim 1 is characterized in that: The specific method of calculating the power generation efficiency of different energy sources in step 1 is: The electric power formula is P 水 =ρ 水 gQHη, where P 水 is the hydropower generation power, ρ 水 is the density of water, g is the acceleration of gravity, Q is the water flow rate, H is the water head height, and η is the efficiency of the hydropower unit; For wind power, the relationship between power output and wind speed is expressed as To describe, where P 风 is the wind power generation power, ρ 气 is the density of air, A is the swept area of the wind wheel, V is the wind speed, C p is the wind energy utilization coefficient, the specific value is set by the operator; For photovoltaics, its power output is related to the light intensity and the area of the photovoltaic cell, and the expression is P 光 =η pv S pv I, where P 光 is the photovoltaic power generation power, η pv is the conversion efficiency of photovoltaic cells, S pv is the area of the photovoltaic cell, and I is the light intensity.

3. The water, wind, solar, hydrogen and natural gas multi-energy complementary coordinated control method according to claim 1 is characterized in that: The specific method of generating the judgment result in step 1 is: According to the collected data, the mixed integer linear programming method is used to meet the Among them, P load The total power load is obtained based on the above energy summation formula to obtain the total power load of the corresponding area, and it is judged whether the current power generation efficiency can meet the total power load. If the total power load can be met, a power satisfaction signal is generated. Otherwise, if the power load cannot be met, a power dissatisfaction signal is generated.

4. The water, wind, solar, hydrogen and natural gas multi-energy complementary coordinated control method according to claim 1 is characterized in that: The specific method of analyzing the electricity satisfaction signal in step 2 is: Obtain the target area and its electricity consumption records, determine the peak and normal periods of electricity consumption in the target area based on the electricity consumption records, and then obtain the main power generation energy sources corresponding to the peak and normal periods respectively; Conduct coordinated control analysis on the peak power consumption period in the target area to obtain the peak power consumption period. At the same time, perform secondary classification on the peak power consumption period to obtain the daytime peak period and the evening peak period. Then, obtain the power generation of the main power generation energy corresponding to the daytime peak period and record it as the power generation to be analyzed. Obtain the total power load corresponding to the daytime peak period and record it as the first load. At the same time, compare the power generation to be analyzed with the first load to generate a normal monitoring signal and an energy coordination signal. Analyze the energy coordination signal to generate coordinated control information. Analyze the evening peak period to obtain all the power generation energy, and according to the formula The analysis adjusts the power generation energy with the goal of minimizing energy costs and maximizing energy supply reliability, and generates coordinated control information.

5. The water, wind, solar, hydrogen and natural gas multi-energy complementary coordinated control method according to claim 4 is characterized in that: The specific method of analyzing the energy coordination signal and generating the coordination control information in step 2 is as follows: If the power generation to be analyzed is greater than the first load, it means that the power generation efficiency of the main power generation energy can meet the corresponding load demand, and a normal monitoring signal is generated. If the power generation to be analyzed is less than the first load, it means that the power generation efficiency of the main power generation energy cannot meet the corresponding load demand, and an energy coordination signal is generated. The energy coordination signal is analyzed to obtain all power generation energies and the storage capacity corresponding to the power generation energy. The power generation energy corresponding to the largest storage capacity is selected for power generation adjustment to generate coordinated control information.

6. The water, wind, solar, hydrogen and natural gas multi-energy complementary coordinated control method according to claim 1 is characterized in that: The specific method of analyzing the normal power consumption period in step 2 is as follows: The total power generation corresponding to the normal power consumption period is obtained, and the total load corresponding to the target area is obtained at the same time. The difference between the total power generation and the total load is calculated, and the calculated power generation is stored. At the same time, the stored power generation is used to electrolyze water to produce hydrogen and generate coordinated control information.

7. The water, wind, solar, hydrogen and natural gas multi-energy complementary coordinated control method according to claim 1 is characterized in that: The specific method of analyzing the power consumption unsatisfactory signal in step 3 is: Obtain all power generation energy sources and their corresponding power generation efficiencies, and compare the power generation efficiencies with preset values. If the power generation efficiency is less than the preset value, it indicates that the power generation efficiency of the corresponding power generation energy source can be adjusted, and the corresponding power generation energy source is marked as an adjustable energy source. If the power generation efficiency is equal to the preset value, it indicates that the power generation efficiency of the corresponding power generation energy source cannot be adjusted, and the corresponding power generation energy source is marked as an unadjustable energy source. Then all adjustable energy sources are obtained, and the adjustable energy sources are screened to obtain renewable adjustable energy sources and non-renewable adjustable energy sources. The obtained renewable adjustable energy sources are labeled as a, and a=1, 2, ..., b, where b represents the number of renewable adjustable energy sources. Then the difference between the total power generation and the total load in the target area is calculated, and recorded as the power to be coordinated.

8. The water, wind, solar, hydrogen and natural gas multi-energy complementary coordinated control method according to claim 1 is characterized in that: The specific method of analyzing the renewable adjustable energy and generating the coordinated control information in step 4 is: The power generation efficiency of all renewable adjustable energy sources is obtained, and the corresponding power to be coordinated is obtained at the same time. Then the power to be coordinated is evenly divided according to the number of renewable adjustable energy sources to generate a single portion of power to be adjusted. The regulation efficiency of the renewable adjustable energy is calculated based on the single portion of power to be adjusted. The power generation efficiency of the renewable adjustable energy is adjusted according to the calculated regulation efficiency, and coordination control information is generated.

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