Multi-energy complementary coordination control method for water, wind, light, hydrogen and natural gas
By establishing a comprehensive energy model and meticulous classification and coordination control, the problems of abnormal power generation efficiency and power generation coordination in various energy coordination controls have been solved, and efficient and flexible energy utilization has been achieved.
Patent Information
- Application Number
- CN202411864395.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-17
- Publication Date
- 2025-04-04
- Estimated Expiration
- 2044-12-17
AI Technical Summary
The prior art is difficult to scientifically calculate the regulation efficiency of adjustable energy in the coordinated control of various energy sources, resulting in coordination abnormalities in power generation efficiency and power generation.
By establishing a comprehensive energy model, calculating the power generation efficiency of different energy sources, determining whether the power balance constraints are met, and performing detailed classification and coordination control during peak electricity consumption or unsatisfied periods, adjusting the power generation efficiency of renewable energy to make up for the power generation difference.
Accurate coordinated control of multiple energy sources is achieved, power generation efficiency and energy utilization efficiency are improved, and the flexibility and stability of the energy system are enhanced.
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Figure CN119765498A_ABST
Abstract
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 multi-energy complementarity of 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 energy) and the diversification of energy structure, 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 "learning from each other's strengths and weaknesses" and complementary utilization among different energy sources, and improves 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, the power generation efficiency is prone 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 power generation difference is also an urgent problem to be solved. Summary of the invention
[0005] In view of the shortcomings of the prior art, the present invention provides a method for coordinated control of multi-energy complementarity of 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 method for coordinated control of water, wind, solar, hydrogen and natural gas multi-energy complementarity, the method specifically comprising the following steps:
[0007] 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.
[0008] Step 2: Analyze the generated electricity satisfaction signal, classify different electricity consumption periods in the region into peak periods and normal periods, and coordinate the energy use during peak periods and normal periods to generate regulation control information;
[0009] Step 3: Analyze the generated power consumption unsatisfied signal, analyze the power generation efficiency of the power generation energy, select renewable energy sources that can adjust the efficiency, and obtain the corresponding power generation difference;
[0010] 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;
[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 in the step is:
[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, 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, the 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 the photovoltaic cell, 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, a mixed integer linear programming method is used to meet Where P load The total power load is obtained based on the above energy summation formula to determine 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 power consumption satisfaction signal in step 2 is:
[0019] Obtain the target area and the electricity consumption record of the target area, determine the peak electricity consumption period and normal period of the target area according to the electricity consumption record, and then obtain the main power generation energy corresponding to the peak electricity consumption period and the normal period respectively;
[0020] Conduct coordinated control analysis on the peak power consumption period in the target area to obtain the peak power consumption period, and 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, and 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, and 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 corresponding storage capacity of the power generation energy. The power generation energy with the largest storage capacity is selected for power generation adjustment to generate coordination 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, and the difference between the total power generation and the total load is calculated. The calculated power generation is stored, and 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 the corresponding power generation efficiency at the same time, and compare the power generation efficiency with a preset value. If the power generation efficiency is less than the preset value, it means that the power generation efficiency of the corresponding power generation energy can be adjusted, and the corresponding power generation energy is marked as an adjustable energy. If the power generation efficiency is equal to the preset value, it means that the power generation efficiency of the corresponding power generation energy cannot be adjusted, and the corresponding power generation energy is marked as an unadjustable energy.
[0028] Then all the adjustable energy sources are obtained, and the adjustable energy sources are screened to obtain renewable adjustable energy sources and non-renewable adjustable energy sources, and 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, and then the difference between the total power generation and the total load in the target area is calculated, which is 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 in step 4 to generate the coordinated control information is:
[0030] The power generation efficiency of all renewable adjustable energy sources is obtained, and the corresponding amount of electricity to be coordinated is obtained at the same time. Then the amount of electricity to be coordinated is evenly divided according to the number of renewable adjustable energy sources to generate a single portion of electricity to be adjusted, and the regulation efficiency of the renewable adjustable energy is calculated based on the single portion of electricity to be adjusted. According to the calculated regulation efficiency, the power generation efficiency of the renewable adjustable energy is adjusted, and coordination control information is generated.
[0031] The present invention provides a coordinated control method for water, wind, solar, hydrogen and natural gas multi-energy complementarity. Compared with the prior art, it has the following beneficial effects:
[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, so as to timely generate 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] Second, during the peak hours of electricity consumption, the peak hours are carefully classified into daytime peak hours and evening peak hours, and coordinated control is carried out according to the characteristics of different hours and energy supply conditions. During the daytime peak hours, when the main power generation energy is insufficient, the appropriate energy (such as hydrogen energy storage) can be quickly selected according to the energy storage capacity for power generation adjustment to ensure stable power supply; during the evening peak hours, with the goal of minimizing energy costs and maximizing supply reliability, the optimization algorithm is used to reasonably allocate the power of hydropower, wind power, hydrogen storage fuel cell power generation and natural gas power generation, effectively reducing energy costs and improving energy utilization efficiency. This is an important innovation that is different from the single or simple combination of energy scheduling methods in existing technologies.
[0034] Third, during periods of normal electricity consumption, the difference between total power generation and total load can be accurately calculated, and excess electricity can be stored and used to electrolyze water to produce hydrogen, thus achieving effective storage of electricity 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 electricity to be coordinated is reasonably allocated to the renewable adjustable energy, and its regulation efficiency is accurately calculated to adjust the power generation efficiency. This fully taps the regulation potential of renewable energy, increases the contribution of renewable energy in 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 the traditional energy coordination control method 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 be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.
[0038] For example, see 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, 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, the 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 the photovoltaic cell, 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 Where 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 determine 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.
[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 in peak periods and normal periods to generate regulation control information.
[0045] Obtain the target area, and the target area here refers to the area of corresponding energy supply and power generation, which is set by the operator. At the same time, obtain the power consumption record of the target area, and determine the peak power consumption period and normal period of the target area according to the power consumption record. The normal period here includes the valley period, such as 9:00 to 11:00 in the morning and 7:00 to 10:00 in the evening on weekdays. These periods usually show peak power consumption characteristics due to concentrated industrial production and large residential power consumption. For example, 2:00 to 5:00 in the morning is often a valley period. At this time, most industrial enterprises stop working and production, and residential power consumption is greatly reduced. The rest of the time between the peak period and the valley period is an ordinary normal period. Then, the main power generation energy corresponding to the peak power consumption period and the normal period is obtained respectively. The main power generation energy here refers to the energy consumption with the largest corresponding power generation, such as photovoltaic power generation, hydropower generation, etc.;
[0046] Conduct coordinated control analysis on the peak power consumption period in the target area to obtain the peak power consumption period, and classify the peak power consumption period into daytime peak period and 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, and 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, taking a certain urban area as an example, through the analysis of a large amount of historical electricity consumption data and real-time electricity consumption monitoring, it is found that its daytime peak hours are concentrated from 9 am to 5 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 hours are from 6 pm to 10 pm, which is due to the large number of household electrical appliances turned on after get off work. At the same time, the total electricity load of the entire target area during the daytime peak hours is accurately counted and recorded as the first load. For example, it is found through statistics that during a typical daytime peak hour, the total power generation of the main power generation energy in the area is 500 megawatts (power generation to be analyzed), and the total power load in the area at this time reaches 600 megawatts (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, all power generation energies are obtained, and the storage capacity corresponding to the power generation energy is obtained at the same time, and the power generation energy corresponding to the largest storage capacity is selected for power generation adjustment, and coordination control information is generated;
[0049] For example, in a comprehensive energy system that includes hydropower, wind power, photovoltaics, hydrogen energy storage and natural gas power generation, it was found that the hydropower energy storage capacity is 20 MWh, wind power has no energy storage, photovoltaic energy storage capacity is 10 MWh, hydrogen energy storage capacity is 50 MWh, and natural gas reserves are sufficient. Since hydrogen energy storage capacity is the largest among these power generation energy sources, the system will select the power generation facilities corresponding to hydrogen energy storage for power generation regulation, and reasonably control the power generation power of hydrogen fuel cells and other parameters to make up for the power gap and ensure the stability of power supply, and generate detailed coordination control information, including the start time of hydrogen energy storage power generation, power adjustment range, expected duration, etc., so as to accurately control and effectively manage 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, about 0.3 yuan per megawatt-hour, but its current adjustable upper limit of power generation is 200 megawatts; wind power has a relatively stable wind speed at night, and the cost of power generation is about 0.4 yuan / MWh, which can provide 150 megawatts of power; photovoltaic power has basically no power generation capacity at night; natural gas power generation cost is relatively high, about 0.6 yuan / MWh, but the power generation range is wide, which 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 calculation, under the premise of meeting the power balance constraints, in order to minimize costs, priority is given to dispatching hydropower to generate 200 megawatts, wind power to generate 150 megawatts, and then starting hydrogen storage fuel cells to generate 100 megawatts. The remaining 350 megawatts of power gap will be made up by natural gas power generation.
[0053] Analyze the normal power consumption period in the target area, obtain the total power generation corresponding to the normal power consumption period, and obtain the total load corresponding to the target area, and calculate the difference between the total power generation and the total load. Store the calculated power generation, and use the stored power generation to electrolyze water to produce hydrogen, and generate coordinated control information. When there is excess electricity, speed up the electrolysis of water to produce hydrogen, and store the excess electricity in the form of 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 the output of hydrogen. When there is insufficient electricity, the stored hydrogen is used to generate electricity through fuel cells and transmit electricity to the power grid.
[0054] Step 3: Analyze the electricity consumption dissatisfaction signal generated by the judgment, analyze the power generation efficiency of the power generation energy, screen the renewable energy sources that can adjust the efficiency, and obtain the corresponding power generation difference.
[0055] Obtain all power generation energy, and at the same time obtain the corresponding power generation efficiency, and compare the power generation efficiency with the preset value, and the preset value is expressed as the corresponding maximum power generation efficiency. The specific value is determined by professional operators based on the design parameters of the energy facilities, past operation data, and technical upgrades. If the power generation efficiency is less than the preset value, it means that the power generation efficiency of the corresponding power generation energy can be adjusted, and the corresponding power generation energy is marked as adjustable energy. If the power generation efficiency is equal to the preset value, it means that the power generation efficiency of the corresponding power generation energy cannot be adjusted, and the corresponding power generation energy 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%, the power generation efficiency of a natural gas power plant is 38%, etc. 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 example indicate that the power generation efficiency of the power generation energy has room for further adjustment and improvement, and it is marked as an adjustable energy.
[0057] Then all the adjustable energy sources are obtained, and the adjustable energy sources are screened to obtain renewable adjustable energy sources and non-renewable adjustable energy sources, and 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, and then the difference between the total power generation and the total load in the target area is calculated, which is 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 amount of electricity to be coordinated is obtained at the same time. Then the amount of electricity to be coordinated is evenly divided according to the number of renewable adjustable energy sources to generate a single portion of electricity to be adjusted, and the regulation efficiency of the renewable adjustable energy is calculated based on the single portion of electricity to be adjusted. According to the calculated regulation efficiency, the power generation efficiency of the renewable adjustable energy is adjusted, 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, among which 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 distributed according to the number of renewable and adjustable energy sources to generate a single amount 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, so the single amount of electricity to be coordinated is 600÷3=200 MWh.
[0063] Afterwards, the regulation efficiency of each renewable adjustable energy source is calculated based on the single amount of electricity to be regulated. For hydropower, the calculation of its regulation efficiency may involve factors such as the regulation parameters of the turbine and the regulation range of the reservoir water level. It is assumed that after calculation, in order to meet the single amount of electricity to be regulated of 200 megawatt-hours, the regulation efficiency of hydropower needs to be increased to 42%; wind power may involve wind turbine pitch angle adjustment, wind speed prediction optimization, etc., and after calculation, its regulation efficiency needs to be increased to 35% to meet the single amount of electricity to be regulated; photovoltaics may need to consider the cleanliness of photovoltaic panels, the optimization of the light tracking system, etc., and it is calculated that in order to meet the single amount of electricity to be regulated, its regulation efficiency needs to 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 rather than to limit it. 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 respectively. 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, classify different electricity consumption periods in the region into peak periods and normal periods, and coordinate the energy use during peak periods and normal periods to generate regulation control information; Step 3: Analyze the generated power consumption unsatisfied signal, analyze the power generation efficiency of the power generation energy, select renewable energy sources that can adjust the 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 amount of electricity 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, 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 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; For photovoltaics, the 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 the photovoltaic cell, 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, a mixed integer linear programming method is used to meet Where P load The total power load is obtained based on the above energy summation formula to determine 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 the electricity consumption record of the target area, determine the peak electricity consumption period and normal period of the target area according to the electricity consumption record, and then obtain the main power generation energy corresponding to the peak electricity consumption period and the normal period respectively; Conduct coordinated control analysis on the peak power consumption period in the target area to obtain the peak power consumption period, and 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, and 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, and 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 in step 2 to generate coordination control information 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 corresponding storage capacity of the power generation energy. The power generation energy with the largest storage capacity is selected for power generation adjustment to generate coordination 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: 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, and the difference between the total power generation and the total load is calculated. The calculated power generation is stored, and 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 the corresponding power generation efficiency at the same time, and compare the power generation efficiency with a preset value. If the power generation efficiency is less than the preset value, it means that the power generation efficiency of the corresponding power generation energy can be adjusted, and the corresponding power generation energy is marked as an adjustable energy. If the power generation efficiency is equal to the preset value, it means that the power generation efficiency of the corresponding power generation energy cannot be adjusted, and the corresponding power generation energy is marked as an unadjustable energy. Then all the adjustable energy sources are obtained, and the adjustable energy sources are screened to obtain renewable adjustable energy sources and non-renewable adjustable energy sources, and 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, and then the difference between the total power generation and the total load in the target area is calculated, which is 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 to generate the coordinated control information in step 4 is: The power generation efficiency of all renewable adjustable energy sources is obtained, and the corresponding amount of electricity to be coordinated is obtained at the same time. Then the amount of electricity to be coordinated is evenly divided according to the number of renewable adjustable energy sources to generate a single portion of electricity to be adjusted, and the regulation efficiency of the renewable adjustable energy is calculated based on the single portion of electricity to be adjusted. According to the calculated regulation efficiency, the power generation efficiency of the renewable adjustable energy is adjusted, and coordination control information is generated.
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