A hybrid energy storage ACE frequency modulation optimization control method, device, medium and product
By dividing different power modes in the hybrid energy storage system and determining the corresponding control strategy, the problem that the existing hybrid energy storage system cannot fully compensate for the output deviation of the thermal power unit in the power grid frequency modulation assistance is solved, and a more efficient frequency modulation control of the energy storage system is achieved.
Patent Information
- Application Number
- CN202410326180.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-03-21
- Publication Date
- 2025-05-02
- Estimated Expiration
- 2044-03-21
AI Technical Summary
The existing hybrid energy storage system failed to fully consider the power grid assessment indicators during the design process and failed to effectively utilize the energy storage capacity, resulting in the inability to fully compensate for the deviation between the thermal power unit output and the AGC frequency modulation signal in the frequency modulation auxiliary market.
By obtaining the power grid command value and unit power generation power value, determine the power command of the energy storage system, and divide the low-power, medium-power and high-power modes according to the generator set response dead zone value, energy storage rated power and adjustment accuracy dead zone value, and determine the hybrid energy storage coordination control strategy respectively to optimize the frequency modulation control of the energy storage system.
The rationality of the hybrid energy storage collaborative thermal power unit participating in ACE frequency regulation control is improved, ensuring that the hybrid energy storage system can participate in frequency regulation operation all-weather, taking into account the requirements of adjustment rate, response time and adjustment accuracy.
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Figure CN118199102B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of frequency modulation optimization technology, and in particular to a hybrid energy storage ACE frequency modulation optimization control method, device, medium and product. Background Art
[0002] With the increasing integration of wind and photovoltaic power, and the resulting random power fluctuations, the need for rapid resource regulation in the construction of new power systems is becoming increasingly urgent. Currently, coal-fired power units remain a key component of grid frequency and peak regulation, yet alternative energy sources remain. Traditional thermal power units convert the heat generated by fossil fuel combustion into electricity. This energy conversion process results in long response times and slow ramp rates, making them unsuitable for the rapid reversal and large load demands of secondary frequency regulation, such as ACE or R modes. In contrast, energy storage technology can, in principle, help correct discrepancies between power generation and demand under grid load conditions, closely tracking load demands with greater precision and within millisecond timescales. Furthermore, guided by the grid's "two detailed rules" assessment and compensation model, energy storage-assisted units have become the leading business model for energy storage in frequency regulation assistance services in China and have become a hot area of research.
[0003] Hybrid energy storage has achieved some success in frequency regulation, but different energy storage forms have their own advantages and disadvantages, such as the high cost of flywheels and the limited lifespan of lithium batteries. Currently, it is difficult to develop a single energy storage technology that can meet the requirements of high-frequency, high-power charging and discharging while maintaining a low cost. Hybrid energy storage technology combines and coordinates the use of power-based energy storage with fast response and long cycle life, and energy-based energy storage with large storage capacity, maximizing the strengths of each energy storage technology and enhancing the technical and economic advantages of the energy storage system.
[0004] While current research on hybrid energy storage systems has achieved some success, the following issues remain: The design process for hybrid energy storage systems fails to consider alignment with grid performance indicators; the characteristics and capacities of various energy storage systems are insufficiently considered, with the simple adoption of signal decomposition algorithms being overly idealistic; and strategies for lithium battery lifespan protection are inadequately designed, failing to fully consider the primary role lithium batteries should play in frequency regulation. This, to a certain extent, restricts the flexibility of hybrid energy storage, underutilizes storage capacity configuration, and fails to maximize the functionality and economic benefits of hybrid energy storage systems.
[0005] In practice, the hybrid energy storage system's original design, due to its inability to fully meet current market demands for frequency regulation assistance and the energy constraints inherent in energy storage, cannot fully compensate for discrepancies between the thermal power unit output and the AGC frequency regulation signal. Therefore, achieving power distribution between the hybrid energy storage system and the thermal power units is crucial for frequency regulation in a combined energy storage and thermal power system. Summary of the Invention
[0006] The purpose of the present invention is to provide a hybrid energy storage ACE frequency regulation optimization control method, device, medium and product, which can improve the rationality of hybrid energy storage and thermal power units participating in ACE frequency regulation control.
[0007] To achieve the above object, the present invention provides the following solutions:
[0008] A hybrid energy storage ACE frequency modulation optimization control method, comprising:
[0009] Obtain the grid command value and the unit power generation value;
[0010] Determine the energy storage system power instruction based on the grid instruction value and the unit power generation value;
[0011] Obtain the response dead zone value of the generator set, the energy storage rated power and the regulation accuracy dead zone value;
[0012] Determine the sum of the energy storage rated power and the regulation accuracy dead zone value as the judgment value;
[0013] When the energy storage system power instruction is less than the generator set response dead zone value, determining the hybrid energy storage coordinated control strategy according to the low power mode principle;
[0014] When the energy storage system power instruction is not less than the generator set response dead zone value and the energy storage system power instruction is less than the determination value, determining the hybrid energy storage coordinated control strategy according to the medium power mode principle;
[0015] When the energy storage system power instruction is greater than the determination value, a hybrid energy storage coordinated control strategy is determined according to the high power mode principle.
[0016] Optionally, the energy storage system power instruction is:
[0017] P H (t) = P ACE (t)-P G (t);
[0018] Among them, P ACE (t) is the grid command value; P G (t) is the generating power value of the unit.
[0019] Optionally, the method further includes:
[0020] When the energy storage system power instruction is less than 0 or the energy storage system power instruction is greater than the determination value, return to the step of "obtaining the grid instruction value and the unit power generation value".
[0021] Optionally, a hybrid energy storage coordinated control strategy is determined according to the low power mode principle, including:
[0022] Get the flywheel state of charge value;
[0023] Determining whether the flywheel state of charge value is within a preset flywheel state of charge value range to obtain a first determination result;
[0024] If the first judgment result is no, the flywheel power command is set to zero, and the unit output is made to track the grid command value;
[0025] If the first judgment result is yes, then according to the formula Determine the charge and discharge instructions of the flywheel array, and according to the formula P b,t (t) = 0 to determine the charge and discharge instructions of the lithium battery group; where P f,t (t) is the charge and discharge instruction of the flywheel array, P f,ref (t) is the rated charge and discharge power of the flywheel energy storage system, P H (t) is the power instruction of the energy storage system, P b,t (t) is the charge and discharge instruction of the lithium battery group.
[0026] Optionally, a hybrid energy storage coordinated control strategy is determined according to the medium power mode principle, including:
[0027] According to the formula Determine the ramp rate; t s The updated value of the time starting value of the hybrid energy storage response ramp phase, P G (t s ) is t s The power value at time t s +n is t s The monitoring increment of n seconds, P G (t s +n) is t s +Power value at time n;
[0028] Determine whether the climbing rate reaches the standard rate, and obtain a second determination result;
[0029] If the second judgment result is no, return to the step of "obtaining the grid command value and the unit power generation value";
[0030] If the second judgment result is yes, determining whether a zeroing condition is met based on the flywheel state of charge value and the lithium battery state of charge value, and obtaining a third judgment result; the zeroing condition is that the flywheel state of charge value is not within a preset flywheel state of charge value range, and the lithium battery state of charge value is not within a preset lithium battery state of charge value range;
[0031] If the third judgment result is yes, the flywheel array charge and discharge instructions and the lithium battery group charge and discharge instructions are both set to zero;
[0032] If the third judgment result is no, determining whether the flywheel state of charge value is greater than the lithium battery state of charge value to obtain a fourth judgment result;
[0033] If the fourth judgment result is yes, then according to the formula Determine the charge and discharge instructions for the flywheel array, and use the formula Determine the charge and discharge instructions for the lithium battery group; where P b,ref (t) is the rated charge and discharge power of the lithium battery group energy storage system;
[0034] If the fourth judgment result is no, then according to the formula Determine the charge and discharge instructions for the lithium battery group, and use the formula Determine the charge and discharge instructions for the flywheel array.
[0035] Optionally, a hybrid energy storage coordinated control strategy is determined according to the high power mode principle, including:
[0036] Determining whether a zeroing condition is satisfied based on the flywheel state of charge value and the lithium battery state of charge value, to obtain a fifth determination result;
[0037] If the fifth judgment result is yes, the flywheel array charge and discharge instructions and the lithium battery group charge and discharge instructions are both set to zero, and the process returns to step "obtaining the grid instruction value and the unit power generation value";
[0038] If the fifth judgment result is no, then according to the formula Determine the charge and discharge instructions for the flywheel array, and use the formula Determine the charge and discharge instructions of the lithium battery group until the energy storage system power instruction is less than the judgment value, and determine the hybrid energy storage coordination control strategy according to the medium power mode principle; wherein, ΔP G (t) is the load change value of the unit, 1%P ge P is the power value of the response dead zone. ge is the rated power of the unit.
[0039] A computer device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor executes the computer program to implement a hybrid energy storage ACE frequency modulation optimization control method.
[0040] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the hybrid energy storage ACE frequency modulation optimization control method.
[0041] A computer program product includes a computer program, which, when executed by a processor, implements the hybrid energy storage ACE frequency modulation optimization control method.
[0042] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:
[0043] The present invention provides a hybrid energy storage ACE frequency modulation optimization control method, device, medium, and product. First, a modal matching adaptive control strategy is used to calculate the output of the energy storage system and determine the matching relationship between the frequency modulation command mode and the hybrid energy storage output power. Second, the respective characteristics of the hybrid energy storage are considered, and the output priority of the flywheel and lithium battery is flexibly adjusted. The initial input node, power level, frequency modulation mode switching, and exit node of the flywheel and lithium battery participating in the frequency modulation mode are allocated and controlled, taking into account the requirements of the three indicators of regulation rate, response time, and regulation accuracy to ensure that the hybrid energy storage can participate in ACE frequency modulation around the clock. BRIEF DESCRIPTION OF THE DRAWINGS
[0044] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0045] Figure 1 A low-power mode flow chart provided in Example 1 of the present invention;
[0046] Figure 2 A schematic diagram of the low-power mode flywheel energy storage output provided by Example 1 of the present invention;
[0047] Figure 3 This is a medium power mode flow chart provided in Example 1 of the present invention;
[0048] Figure 4 A schematic diagram of the coordinated output of medium-power hybrid energy storage provided in Example 1 of the present invention;
[0049] Figure 5 A high-power mode flow chart provided in Example 1 of the present invention;
[0050] Figure 6 Schematic diagram of high-power modal hybrid energy storage coordinated output provided by Example 1 of the present invention. DETAILED DESCRIPTION
[0051] 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.
[0052] The purpose of the present invention is to provide a hybrid energy storage ACE frequency regulation optimization control method, device, medium and product, which can improve the rationality of hybrid energy storage and thermal power units participating in ACE frequency regulation control.
[0053] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.
[0054] Example 1
[0055] A hybrid energy storage ACE frequency modulation optimization control method in this embodiment includes:
[0056] Step 101: Obtain the grid command value and the unit power generation value.
[0057] Step 102: Determine the energy storage system power instruction based on the grid instruction value and the unit power generation value.
[0058] Step 103: Obtain the generator set response dead zone value, energy storage rated power and regulation accuracy dead zone value.
[0059] Step 104: Determine the sum of the energy storage rated power and the regulation accuracy dead zone value as the judgment value.
[0060] Step 105: When the energy storage system power command is less than the generator set response dead zone value, determine the hybrid energy storage coordinated control strategy according to the low power mode principle.
[0061] Step 106: When the energy storage system power command is not less than the generator set response dead zone value and the energy storage system power command is less than the judgment value, determine the hybrid energy storage coordinated control strategy according to the medium power mode principle.
[0062] Step 107: When the energy storage system power instruction is greater than the judgment value, the hybrid energy storage coordinated control strategy is determined according to the high power mode principle.
[0063] Among them, the energy storage system power instruction is:
[0064] P H (t) = P ACE (t)-P G (t).
[0065] Among them, P H (t) is the power instruction of the energy storage system. ACE (t) is the grid command value. G (t) is the generating power value of the unit.
[0066] Step 108: When the energy storage system power instruction is less than 0 or the energy storage system power instruction is greater than the judgment value, return to step 101.
[0067] Step 105 includes:
[0068] Step 105-1: Obtain the flywheel state of charge value.
[0069] Step 105-2: Determine whether the flywheel state of charge value is within a preset flywheel state of charge value range to obtain a first determination result.
[0070] Step 105-3: If the first judgment result is no, the flywheel power command is set to zero, and the unit output is made to track the grid command value.
[0071] Step 105-4: If the first judgment result is yes, then according to the formula Determine the charge and discharge instructions of the flywheel array, and according to the formula P b,t (t) = 0 to determine the charge and discharge instructions for the lithium battery group. f,t (t) is the charge and discharge instruction of the flywheel array, P f,ref (t) is the rated charge and discharge power of the flywheel energy storage system, P H (t) is the power instruction of the energy storage system, P b,t (t) is the charge and discharge instruction of the lithium battery group.
[0072] Step 106:, comprising:
[0073] Step 106-1: According to the formula Determine the ramp rate. s The updated value of the time starting value of the hybrid energy storage response ramp phase, P G (t s ) is t s The power value at time t s +n is t s The monitoring increment of n seconds, P G (t s +n) is t s +The power value at time n.
[0074] Step 106-2: Determine whether the climbing rate reaches the standard rate and obtain a second judgment result.
[0075] Step 106-3: If the second judgment result is no, return to the step of "obtaining the grid command value and the unit power generation value".
[0076] Step 106-4: If the second judgment result is yes, determine whether a zeroing condition is met based on the flywheel SOC value and the lithium battery SOC value, thereby obtaining a third judgment result. The zeroing condition is that the flywheel SOC value is not within a preset flywheel SOC value range, and the lithium battery SOC value is not within a preset lithium battery SOC value range.
[0077] Step 106-5: If the third judgment result is yes, then the flywheel array charge and discharge instructions and the lithium battery group charge and discharge instructions are both reset to zero.
[0078] Step 106-6: If the third judgment result is no, determine whether the flywheel state of charge value is greater than the lithium battery state of charge value to obtain a fourth judgment result.
[0079] Step 106-7: If the fourth judgment result is yes, then according to the formula Determine the charge and discharge instructions for the flywheel array, and use the formula Determine the charge and discharge instructions for the lithium battery group. b,ref (t) is the rated charge and discharge power of the lithium battery group energy storage system.
[0080] Step 106-8: If the fourth judgment result is no, then according to the formula Determine the charge and discharge instructions for the lithium battery group, and use the formula Determine the charge and discharge instructions for the flywheel array.
[0081] Step 107 includes:
[0082] Step 107-1: Determine whether a zeroing condition is met based on the flywheel state of charge value and the lithium battery state of charge value, and obtain a fifth judgment result.
[0083] Step 107-2: If the result of the fifth judgment is yes, the flywheel array charge and discharge instructions and the lithium battery group charge and discharge instructions are both set to zero, and the process returns to step "obtaining the grid instruction value and the unit power generation value".
[0084] Step 107-3: If the fifth judgment result is no, then according to the formula Determine the charge and discharge instructions for the flywheel array, and use the formula Determine the charge and discharge instructions of the lithium battery group until the power instruction of the energy storage system is less than the judgment value, and determine the hybrid energy storage coordination control strategy according to the medium power mode principle. G (t) is the load change value of the unit, 1%Pge is the power value of the response dead zone.
[0085] 1. Hybrid energy storage instruction P H (t), flywheel energy storage state of charge SOC f , lithium battery state of charge SOC b Get:
[0086] Hybrid energy storage is composed of 2MW / 0.5MWh flywheel energy storage + 6MW / 6MWh lithium battery energy storage. H (t) is the ACE command value issued by the power grid minus the real-time power value of the unit. A positive value is a charging command for the hybrid energy storage, and a negative value is a discharging command for the hybrid energy storage.
[0087] P H (t) = P ACE (t)-P G (t) (1).
[0088] Where, P ACE (t) is the grid command value. Considering the continuous change process of ACE command, P H (t) The change is used as the updated value of the frequency regulation state of the hybrid energy storage system, P G (t) is the generating power value of the unit.
[0089] 2. The basis of hybrid energy storage coordinated control strategy based on modal matching.
[0090] By analyzing the distribution of the hybrid energy storage command value and combining the maximum power output capacity of the hybrid energy storage system (the rated power of the hybrid energy storage system) and the load ramp rate of the generator set (the rate of change of the unit) as boundary conditions, the energy storage output command can be decomposed into a series of power step signals with different modes, so that the different power modes of the hybrid energy storage output can be matched with the hysteresis change characteristics of the unit.
[0091] In order to facilitate the control of different mode switching nodes, the power instructions of the energy storage system can be divided into three hybrid instruction modes: H If the absolute value of (t) is less than the generator set response dead zone value, it is classified as low power mode. H If the absolute value of (t) is between the generator set response dead zone value and the sum of the hybrid energy storage system rated power and the unit regulation accuracy dead zone value, it is classified as medium power mode. H If the absolute value of (t) exceeds the sum of the hybrid energy storage system's rated power and the deadband value of the unit's regulation accuracy, it is considered a high-power mode. This classification can further optimize the energy storage system's scheduling strategy and improve the coordination and regulation efficiency between energy storage and the grid.
[0092] 3. Low power mode.
[0093] like Figure 1-Figure 2 , get the grid command P ACE (t) and the generating power value P of the unit G (t), calculate the power instruction P of the energy storage system H (t), by comparing with the absolute value of the response dead zone, if the absolute value of the hybrid energy storage instruction is greater than zero and less than the response dead zone value of the generator set, the flywheel is discharged alone, and the lithium battery does not perform the charge and discharge instructions. When the flywheel's state of charge SOC is met f If the flywheel's state of charge SOC f When the value is greater than 0.25 and less than 0.98, the power formulas of the flywheel and lithium battery are formulas (2) and (3), which are used to supplement the difference between the unit and the instruction. The flywheel is used to correct the unit power through a 50S delay judgment. When the flywheel is in a charged state, the power formulas of the flywheel and lithium battery are:
[0094]
[0095] P b,t (t)=0 (3).
[0096] Where: P f,t (t) is the charge and discharge instruction of the flywheel array, P b,t (t) is the charge and discharge instruction of the lithium battery group.
[0097] 4. In medium power mode.
[0098] 1) The flywheel has a higher priority than the lithium battery, and the hybrid energy storage instruction formula is:
[0099] The flywheel formula is the same as formula (2).
[0100]
[0101] 2) The lithium battery has a higher priority than the flywheel. The command formula is:
[0102]
[0103] At the same time, in the medium power mode, the characteristics of the unit need to be considered to prevent the unit from continuing to work due to boiler bed temperature and steam pressure problems, and the energy storage SOC exceeding the upper and lower limits. The unit load change rate is monitored by a counter to determine whether the unit has the load increase and decrease rate. The minimum standard value is 3.5MW / min. If the load change rate of the generator unit is qualified, the energy storage continues to track the power deviation. If it is unqualified, the energy storage exits the regulation and P H (t) is set to zero, and after a delay of n seconds, the rate of change of the unit is determined again. The ramp rate monitoring formula is:
[0104]
[0105] Where: t s The updated value of the time starting value of the hybrid energy storage response ramp phase, P G (t s ) is t s The power value at time t s +n is t s The monitoring increment of n seconds, P G (t s +n) is t s +The power value at time n.
[0106] like Figure 3 and Figure 4 , get the ACE instruction P of the power grid ACE (t) and the real-time output power value P of the unit G (t), calculate the power value P of the energy storage system H (t), judge whether the hybrid energy storage power value meets the response dead zone value and the energy storage rated power + regulation accuracy dead zone value. If the hybrid energy storage command absolute value P H (t) is greater than the response dead zone value and less than the energy storage rated power + regulation accuracy dead zone value. During this process, the change rate of the monitoring unit is compared with the change rate of the standard unit to determine whether the unit is tracking the change of the ACE instruction. If the change rate of the unit meets the standard rate, the hybrid energy storage system will track the change of the instruction. Otherwise, the hybrid energy storage will wait for the change rate of the unit to meet the standard change rate and then track the change of the instruction. In the tracking process, if the charge state SOC of the flywheel is f When it is greater than 0.25 and less than 0.98, the flywheel is able to output power and then the state of charge (SOC) of the lithium battery is determined. b When the SOC is greater than 0.25 and less than 0.95, it is not satisfied and the hybrid energy storage power instruction is set to zero. If it is satisfied, the SOC values of the flywheel and lithium battery are judged to determine the priority of the lithium battery and flywheel power output. According to formulas (3), (5), (6) and (7), under the discharge instruction, the discharge instruction is given priority when the SOC is high, and the charging instruction is given priority when the SOC is low. When the SOC value does not meet the normal working range of the hybrid energy storage, the unit is output alone and the power of the flywheel and lithium battery is set to zero.
[0107] 5. High power mode.
[0108] like Figure 5 and Figure 6In high-power mode, the unit's own rate of change makes it difficult to track the command amplitude change within the specified time range. The unit's adjustment response process needs to go through three stages. The existing hybrid energy storage power cannot cover the three stages of the unit's change at one time. Based on the idea of modal matching, the hybrid energy storage coordination process must also match the unit's three adjustment stages to maximize the use of existing energy storage resources while reducing the number of lithium battery charge and discharge times.
[0109] The three performance indicators of the power grid assessment match the three changing processes of the unit.
[0110] (1) Response stage: Due to the lag in the coordination between the unit's prime mover and the combustion system, the response time is relatively long. It is the time it takes for the unit to step out of the response dead zone consistent with the adjustment direction based on the original output point. The flywheel adjustment has a high priority, and the flywheel instruction P f (t) Priority response power (power value of response dead zone) difference, lithium battery power command P b (t) Compensate for the power difference in the response dead zone, enter the high-power mode, and monitor the variable load value of the unit. At this stage, only the response time k3 indicator, hybrid energy storage power value and timing matching k3 single performance indicator are met. When the charge state of the flywheel and lithium battery is met, the power instruction of the flywheel and lithium battery hybrid energy storage is as follows:
[0111] ΔP G (t) = P G (t)-P G (t0) (8).
[0112]
[0113] Where, P G (t0) is the starting value of the unit entering the high power mode, ΔP G (t) is the load change value of the unit, P fe (t) is the power value of the flywheel energy storage in the current state, P ge (t) is the rated power of the unit at time t, 1% P ge Power value of response dead zone.
[0114] (2) During the ramping phase, the thermal inertia and bed temperature of the unit during the ramping process often lead to a change characteristic of first slow and then fast in the process of responding to the ACE command. H (t) Improve the speed of the unit change in the later climbing stage. In order to facilitate the node control value of the control strategy, the active power of the later energy storage is the power node value of the medium power mode, which improves the overall regulation rate of the unit. When the actual load change value of the unit enters the dead zone of the regulation accuracy, the energy storage instruction P H(t) is updated to the steady-state phase. During this process, by comparing the flywheel SOC value to the lithium battery, the flywheel energy storage is prioritized for charging when a charge command is issued. The lithium battery energy storage is prioritized for discharge when a discharge command is issued. The climbing phase matches the low-power mode. When the charge state of the flywheel and lithium battery is met, the power regulation process formula is the same as the medium-power mode formula (2), formula (4), formula (5), and formula (6).
[0115] (3) In the stable stage, the inertia of the unit is large. When its output value reaches the target value instruction interval value, it is difficult to quickly control the output value to be equal to the target value, and a small oscillation will occur in its dead zone, causing over-regulation. The hybrid energy storage instruction is issued, giving full play to the unlimited number of flywheel energy storage characteristics. The flywheel energy storage power tracks the hybrid energy storage power instruction for regulation, and reversely regulates the over-regulation part of the unit after reaching the target instruction, reducing the regulation deviation and improving the regulation accuracy. The stable stage matches the low-power mode. Similarly, the lithium battery does not participate in this stage. When the charge state of the flywheel and lithium battery is met, the power regulation process formula is the same as the low-power mode formula (2) and formula (3).
[0116] Flowchart of high power mode: Obtaining ACE instruction P from the power grid ACE (t) and the real-time output power value P of the unit G (t), calculate the power value P of the energy storage system H (t), determine the hybrid energy storage power value P H (t) Is it greater than the energy storage rated power + regulation accuracy dead zone value? If the absolute value of the hybrid energy storage instruction is greater than the energy storage rated power + regulation accuracy dead zone value, the charge state of the flywheel and lithium battery is judged. If the charge state SOC of the flywheel is f When it is greater than 0.25 and less than 0.98, the flywheel is able to output power and then the state of charge (SOC) of the lithium battery is determined. b When the value is greater than 0.25 and less than 0.95, it is not satisfied and the hybrid energy storage power instruction is set to zero. If it is satisfied, the hybrid energy storage is adjusted according to the power instruction according to formula (9) and formula (10). H (t) is less than the energy storage rated power + the regulation accuracy dead zone value, which satisfies the requirement to switch to the medium power regulation mode. Otherwise, continue to adjust according to formulas (9) and (10).
[0117] Example 2
[0118] A computer device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor executes the computer program to implement the steps of a hybrid energy storage ACE frequency optimization control method in Example 1.
[0119] Example 3
[0120] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a hybrid energy storage ACE frequency optimization control method in Example 1.
[0121] Example 4
[0122] A computer program product includes a computer program, which, when executed by a processor, implements the steps of a hybrid energy storage ACE frequency optimization control method in Example 1.
[0123] Example 5
[0124] A computer device, which may be a database. The computer device includes a processor, a memory, an input / output interface (I / O) and a communication interface. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface is connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store pending transactions. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a hybrid energy storage ACE frequency optimization control method in Example 1 is implemented.
[0125] It should be noted that the object information (including but not limited to object device information, object personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in the present invention are all information and data authorized by the object or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of relevant countries and regions.
[0126] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, database or other media used in the embodiments provided by the present invention can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided by the present invention may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processor involved in each embodiment provided by the present invention may be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, etc., but are not limited to these.
[0127] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0128] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The above examples are only intended to help understand the method and core concept of the present invention. At the same time, those skilled in the art will find that the specific implementation methods and application scopes may vary based on the concept of the present invention. In summary, the contents of this specification should not be construed as limiting the present invention.
Claims
1. A hybrid energy storage coordinated thermal power unit participating in ACE frequency modulation optimization control method, characterized in that: include: Obtain the grid command value and the unit power generation value; Determine the power instruction of the energy storage system according to the power grid instruction value and the power generation value of the unit; Obtain the response dead zone value of the generator set, the energy storage rated power and the regulation accuracy dead zone value; Determine the sum of the energy storage rated power and the regulation accuracy dead zone value as the judgment value; When the energy storage system power instruction is less than the generator set response dead zone value, determining the hybrid energy storage coordination control strategy according to the low power mode principle; When the energy storage system power command is not less than the generator set response dead zone value, and the energy storage system power command is less than the determination value, determining the hybrid energy storage coordination control strategy according to the medium power mode principle; When the energy storage system power instruction is greater than the determination value, determining the hybrid energy storage coordination control strategy according to the high power mode principle; The hybrid energy storage coordination control strategy is determined according to the low-power mode principle, including: Get the charge state value of the flywheel; Determine whether the flywheel state of charge value is within a preset flywheel state of charge value interval to obtain a first determination result; If the first judgment result is no, the power command of the flywheel is set to zero, and the unit output is made to track the grid command value; If the first judgment result is yes, then according to the formula Determine the charge and discharge instructions of the flywheel array, and according to the formula P b,t (t) = 0 to determine the charge and discharge instructions for the lithium battery group; where P f,t (t) is the charge and discharge instruction of the flywheel array, P f,ref (t) is the rated charge and discharge power of the flywheel energy storage system, P H (t) is the power instruction of the energy storage system; The hybrid energy storage coordination control strategy is determined according to the medium power mode principle, including: According to the formula Determine the ramp rate; t s is the time start value update value of the hybrid energy storage response climbing phase, P G (t s ) is t s The power value at time t s +n is t s The monitoring increment of n seconds, P G (t s +n) is t s +Power value at time n; Determine whether the climbing rate reaches the standard rate, and obtain a second determination result; If the second judgment result is no, return to step "obtaining the grid command value and the unit power generation value"; If the second judgment result is yes, then judging whether the zeroing condition is met according to the flywheel state of charge value and the lithium battery state of charge value, a third judgment result is obtained; the zeroing condition is that the flywheel state of charge value is not in a preset flywheel state of charge value interval, and the lithium battery state of charge value is not in a preset lithium battery state of charge value interval; If the third judgment result is yes, the flywheel array charge and discharge instructions and the lithium battery group charge and discharge instructions are both set to zero; If the third judgment result is no, then judging whether the charge state value of the flywheel is greater than the charge state value of the lithium battery, and obtaining a fourth judgment result; If the fourth judgment result is yes, then according to the formula Determine the charge and discharge instructions for the flywheel array, and use the formula Determine the charge and discharge instructions for the lithium battery group; where P b,ref (t) is the rated charge and discharge power of the lithium battery group energy storage system; If the fourth judgment result is no, then according to the formula Determine the charging and discharging instructions for the lithium battery group, and use the formula Determine the charge and discharge instructions for the flywheel array; The hybrid energy storage coordination control strategy is determined according to the high power mode principle, including: Determine whether a zeroing condition is met according to the flywheel state of charge value and the lithium battery state of charge value, and obtain a fifth determination result; If the fifth judgment result is yes, the flywheel array charge and discharge instructions and the lithium battery group charge and discharge instructions are both set to zero, and the process returns to step "obtaining the grid instruction value and the unit power generation value"; If the fifth judgment result is no, then according to the formula Determine the charge and discharge instructions for the flywheel array, and use the formula Determine the charging and discharging instructions of the lithium battery group until the power instruction of the energy storage system is less than the judgment value, and determine the hybrid energy storage coordination control strategy according to the medium power mode principle; wherein, ΔP G (t) is the load change value of the unit, 1%P ge To respond to the power value of the dead zone, P ge is the rated power of the unit.
2. According to claim 1, a hybrid energy storage coordinated thermal power unit participating in ACE frequency modulation optimization control method is characterized in that: The energy storage system power instruction is: P H (t)=P ACE (t)-P G (t); Among them, P ACE (t) is the grid command value; P G (t) is the power generation value of the unit.
3. According to claim 1, a hybrid energy storage coordinated thermal power unit participating in ACE frequency modulation optimization control method is characterized in that: The method further comprises: When the energy storage system power instruction is less than 0, return to step "obtaining the grid instruction value and the unit power generation value".
4. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement a hybrid energy storage coordinated thermal power unit participating in ACE frequency optimization control method as described in any one of claims 1-3.
5. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it implements a hybrid energy storage coordinated thermal power unit participating in ACE frequency optimization control method described in any one of claims 1-3.
6. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, it implements a hybrid energy storage coordinated thermal power unit participating in ACE frequency optimization control method described in any one of claims 1-3.
Citation Information
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