Thermal power and energy storage combined deep peak shaving method for providing frequency reserve

Abstract

The invention relates to a thermal power and energy storage combined deep peak shaving method for providing frequency reserve. The method comprises the following steps: inputting unit parameters, energy storage parameters, system parameters and new energy parameters; setting constraint conditions for the frequency standby power and the energy storage frequency modulation power of the thermal power generating unit; setting constraint conditions for balance of deep peak regulation output, total frequency modulation resources and frequency safety standards; establishing a scheduling model which integrates deep peak regulation and frequency regulation functions and contains an energy storage electric power system; and according to the constraint condition and the input parameter, solving the scheduling model, and obtaining an optimization system scheduling strategy for the deep peak regulation and frequency regulation function. Compared with the prior art, energy storage and thermal power supply frequency reserve and deep peak regulation are integrated into the power system dispatching model, a comprehensive dispatching scheme considering system frequency regulation and deep peak regulation while cost is considered is generated, the long-term stability of the system frequency is maintained, and the economical efficiency of the system is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage scheduling, and in particular to a method for combining thermal power and energy storage to provide frequency backup and deep peak regulation. Background Art

[0002] As the proportion of renewable energy in the power grid continues to rise, a large number of traditional synchronous units have been gradually replaced by them. This change has led to a significant reduction in the frequency regulation resources in the power grid, which in turn poses a challenge to the stable operation and safety performance of the power grid. In order to cope with the frequency regulation difficulties brought about by the high proportion of renewable energy connected to the grid, energy storage devices with fast frequency regulation capabilities are needed as key flexibility resources. By integrating the system's frequency regulation mechanism into the system dispatching model, the system's ability to support frequency fluctuations can be effectively enhanced to ensure the safety and stability of the power grid.

[0003] There are now abundant research results on system frequency regulation and deep peak regulation technology. For example, Reference 1 "Operational strategy of composite energy storage participating in the electric energy and ancillary service market" (Zhu Zongyao, Wang Xiuli, Wu Xiong, Song Zhenzi, Chen Xianlong, Huang Ruanming. Automation of Electric Power Systems, 2023, 47(18):80-90) deeply explores the synergistic potential of composite energy storage systems combining power-type electric energy storage and energy-type hydrogen energy storage in the electric energy market and ancillary service market. From the perspective of battery life aging, the cost of providing services is evaluated, and based on a detailed analysis of the operating rules of each market, a composite energy storage multi-market operation strategy that aggregates distributed electric energy storage and hydrogen energy storage is proposed, aiming to maximize the benefits of composite energy storage while providing services; Reference 2 "Combination of energy storage units considering sub-hourly operation flexibility" (Zhang Li, Yang Jian, Suga Xuehui. Automation of Electric Power Systems, 2018, 42(16):48-56) Through the analysis of the variation law of the system net load range, the key fluctuation scenarios are determined, and the operation flexibility constraints are set accordingly. This paper discusses the relationship between hourly-scale decision-making and sub-hourly-scale frequency regulation demand in unit combination, and establishes a relevant mathematical model based on the principle of energy storage providing flexibility. It constructs a unit combination model that considers the coordinated provision of flexibility by energy storage, and uses a mixed integer linear programming method to solve it, effectively improving the sub-hourly operational flexibility of the system; Reference 3 "Comprehensive Analysis of Energy Storage Power Station Participating in Ancillary Services" (Liao Shaofeng. Electrical Technology and Economy, 2023, (07): 164-166) deeply analyzes the economic benefits of energy storage power stations participating in ancillary services, constructs a full life cycle cost model covering investment and operating costs, and specifically calculates the benefits of energy storage power stations participating in frequency regulation and peak load regulation services. By comprehensively considering the actual operating costs of energy storage systems, economic evaluation indicators are proposed, which provides an important reference for investment decisions and construction of energy storage systems participating in ancillary services.

[0004] According to current research results, there are many patent applications involving system frequency modulation and deep peak regulation technology. For example, Patent 1 "A method and system for planning energy storage power and capacity for deep peak regulation of auxiliary thermal power units" (Yang Shuili, Chen Jizhong, Li Xiangjun, Yan Tao, Li Bei, Xie Zhijia, Jia Xuecui, Quan Hui, Wang Huanling. CN112564186A, 2021-03-26) proposes a comprehensive planning method for energy storage power and capacity for deep peak regulation of auxiliary thermal power units. It predicts the deep peak regulation demand of thermal power units based on the peak regulation curve and the rated installed capacity of thermal power, and calculates the power of the required energy storage system to participate in deep peak regulation under various peak regulation demand satisfaction rates. The rate and capacity requirements, as well as the corresponding peak-shaving compensation service fees, are comprehensively considered to formulate the optimal energy storage planning scheme by considering multiple constraints such as deep peak-shaving requirements, power, capacity, compensation service fees and investment costs; Patent 2 "A strategy construction method and device for energy storage system participating in primary frequency regulation" (Xie Pingping, Lu Qiuyu, Zhu Yu, Yang Yinguo, Lin Xu, Chen Yue, Wu Jiekang, Lei Zhen. CN116961023A, 2023-10-27) introduces a strategy construction method and implementation device for energy storage system participating in primary frequency regulation. The method first calculates the target frequency regulation reserve capacity required by the energy storage system according to the preset primary frequency regulation requirements of the system. When the actual frequency regulation capacity is insufficient, the virtual droop control and inertial control strategies are used to construct the frequency regulation strategy; when the actual frequency regulation capacity reaches or exceeds the target backup capacity, the self-recovery strategy is constructed based on the charge and discharge self-recovery coefficient to ensure the stable operation of the energy storage system and effective participation in the primary frequency regulation process; Patent 3 "Multi-variety auxiliary service joint compensation method, system, terminal and computer-readable storage medium considering opportunity cost" (Bie Pei, Sun Zhen, Wang Ning, Fan Pengfei, Wang Haohao, Li Rong, Chen Qing, Wei Hongyang, Luo Jinqing, Li Ziqian, Yuan Wei. CN202210831242.X[P], 2022-11-18) proposes an innovative compensation mechanism, which further introduces the concept of opportunity cost on the basis of calculating the individual compensation costs of frequency regulation, peak regulation, and backup services. For the service subject in each time period, the opportunity cost compensation fee for participating in each service is calculated respectively, and the individual compensation is combined with the opportunity cost compensation to statistically obtain the total compensation fee for the operation day. By introducing a compensation correction coefficient, the mechanism can determine the final benefits of each service provider, thereby effectively motivating them to actively participate in the auxiliary service market.

[0005] However, the traditional method has the following inherent defects:

[0006] 1. The dispatch model does not include an accurate description of the deep peak load regulation and frequency regulation process of the power system, resulting in an inadequate and inaccurate characterization of system flexibility.

[0007] 2. There are deficiencies in describing the coupling process of energy storage equipment and thermal power units participating in the system frequency regulation response. There is a lack of effective modeling of either party, which makes it impossible to accurately reflect the frequency regulation response of the energy storage system. Summary of the invention

[0008] The purpose of the present invention is to solve the technical problem that the existing energy storage-assisted thermal power deep peak regulation is not combined with primary frequency regulation, and to provide a thermal power and energy storage combined deep peak regulation method that provides frequency backup.

[0009] The purpose of the present invention can be achieved by the following technical solutions:

[0010] A method for deep peak regulation of thermal power and energy storage combined with frequency reserve, comprising the following steps:

[0011] Input unit parameters, energy storage parameters, system parameters and new energy parameters;

[0012] Based on the input parameters, a frequency resource model of thermal power units and a rapid frequency regulation model of energy storage are established, and constraints are set for the frequency reserve power of thermal power units and the frequency regulation power of energy storage;

[0013] Based on the input parameters, a model of deep peak regulation and frequency regulation is established, and constraints are set on the balance of deep peak regulation output, total frequency regulation resources and frequency safety standards;

[0014] Based on the input parameters, a dispatch model for a power system with energy storage that integrates deep peak regulation and frequency regulation functions is established;

[0015] According to the constraints and input parameters, the scheduling model is solved to obtain the optimized system scheduling strategy for deep peak shaving and frequency regulation functions.

[0016] Furthermore, the frequency resource model of the thermal power unit and the rapid frequency regulation model of energy storage include the frequency resource model of the thermal power unit and the rapid frequency regulation model of energy storage, the frequency resource model of the thermal power unit establishes the frequency reserve power constraint of the thermal power unit and the output upper limit constraint of the frequency reserve power of the thermal power unit, and the rapid frequency regulation model of energy storage establishes the energy storage frequency regulation power limit constraint and the energy storage frequency regulation energy limit constraint.

[0017] Furthermore, the frequency reserve power constraint of the thermal power unit is:

[0018]

[0019] in, It is used as a stand-alone frequency regulation standby for thermal power units. is the operating status of the thermal power unit, When it is 1, the thermal power unit is running. When it is 0, the thermal power unit is shut down. It is the largest single-unit frequency regulation standby for thermal power units;

[0020] The output upper limit constraint of the frequency reserve power of the thermal power unit in the thermal power unit frequency resource model is:

[0021]

[0022] Among them, P u,t Indicates the output of a single thermal power unit. Indicates the maximum output of a single thermal power unit.

[0023] Furthermore, the energy storage frequency regulation power limit constraint of the energy storage fast frequency regulation model is:

[0024]

[0025] in, It is a fast frequency regulation standby for energy storage. and They are the charging power, discharging power and maximum discharging power of the energy storage device respectively;

[0026] The energy storage frequency regulation energy limit constraint of the energy storage fast frequency regulation model is:

[0027]

[0028] in, is the energy storage level, t reg,dur is the duration of one frequency modulation, η d is the energy storage discharge efficiency, Minimum energy level allowed for energy storage.

[0029] Furthermore, the model of deep peak regulation and frequency regulation includes a system deep peak regulation model, a total frequency regulation resource metering model and a system frequency safety model. The system deep peak regulation model establishes a deep peak regulation output balance constraint, the total frequency regulation resource metering model establishes a total frequency regulation resource constraint for thermal power units and a total frequency regulation resource constraint for energy storage, and the system frequency safety model establishes a maximum quasi-steady-state frequency deviation constraint and a frequency minimum point constraint.

[0030] Furthermore, the deep peak load shaving output balance constraint of the system deep peak load shaving model is:

[0031]

[0032] Among them, Ω k and Ω s Respectively represent the collection of new energy and energy storage, Contribute to new energy Receive charging power from new energy sources for energy storage, The amount of new energy power discarded, Contribute to new energy forecasting.

[0033] Furthermore, the total frequency regulation resources include the total frequency regulation resources of thermal power units and the total frequency regulation resources of energy storage. The total frequency regulation resource constraint of the thermal power units in the total frequency regulation resource measurement model is:

[0034]

[0035] in, It is the total frequency regulation standby for thermal power units. Provide frequency regulation and standby for thermal power units;

[0036] The total frequency regulation resource constraint of energy storage in the total frequency regulation resource metering model is:

[0037]

[0038] in, Indicates total frequency regulation reserve of energy storage, Provide fast frequency regulation and standby for energy storage units.

[0039] Furthermore, the frequency safety standard includes a maximum quasi-steady-state frequency deviation limit and a frequency minimum point limit, and the maximum quasi-steady-state frequency deviation constraint of the system frequency safety model is:

[0040]

[0041] in, is the system load power shortage, is the maximum quasi-steady-state frequency deviation allowed by the system, f D is the system damping coefficient, is the total system load;

[0042] The frequency minimum point size constraint of the system frequency safety model is:

[0043]

[0044] Where Δf max is the maximum frequency deviation allowed by the system, is the total inertia level of the system, T e is the energy storage frequency regulation reserve release time, T g It is the frequency regulation standby release time for thermal power units.

[0045] Furthermore, the objective function of the dispatch model of the power system with energy storage integrated with deep peak regulation and frequency regulation function is the sum of the new energy output cost and the unit operation cost, and the expression of the objective function is:

[0046]

[0047] Among them, RC and UC represent the new energy cost and unit cost respectively, Ω G represents the set of thermal power units, c w The unit cost of new energy output is and They are the unit output cost, no-load cost and startup cost of thermal power units, Indicates the start-up action of the unit. When it is 1, the power-on action occurs. When it is 0, it means other situations.

[0048] Furthermore, the input parameters used for establishing the dispatching model of the power system with energy storage that integrates deep peak regulation and frequency regulation functions include unit parameters, energy storage parameters, system parameters and new energy parameters, wherein the unit parameters include maximum output, minimum output, maximum climbing power, minimum online / offline time, output cost, startup cost and maximum frequency regulation capacity; the energy storage parameters include energy storage equipment capacity, maximum output, charging efficiency and discharge efficiency; the system parameters include system rated frequency, damping coefficient, maximum frequency change rate, maximum quasi-steady-state frequency deviation, maximum frequency deviation, line impedance, line transmission capacity and node load; the new energy parameters include new energy output curve and unit output cost.

[0049] Furthermore, the optimized system scheduling scheme for deep peak regulation and frequency regulation functions includes an optimized thermal power unit scheduling strategy and an optimized energy storage device scheduling strategy.

[0050] Compared with the prior art, the present invention has the following beneficial effects:

[0051] 1. The present invention discloses a method for deep peak regulation of thermal power and energy storage providing frequency backup, focusing on the joint dispatch of thermal power and energy storage and the stability of frequency, establishing and listing detailed models and constraints for the process of energy storage participating in the primary frequency regulation and deep peak regulation of the system, and jointly considering the process of energy storage participating in the primary frequency regulation and deep peak regulation of the system with the frequency regulation contribution of thermal power units in frequency regulation, establishing a complete model for energy storage participating in frequency regulation, and finally calculating an optimized system dispatching scheme for deep peak regulation and frequency regulation functions to help maintain the long-term stability of the system frequency. At the same time, by optimizing the dispatching scheme, the output cost of new energy and the operating cost of the unit can be reduced, and the economy of the power system can be improved;

[0052] 2. The present invention establishes a system frequency safety model, and ensures the stability of the power system after a disturbance by setting the maximum quasi-steady-state frequency deviation allowed by the system. At the same time, by calculating parameters such as the maximum frequency deviation allowed by the system and the energy storage frequency regulation standby release time, it ensures that the system frequency will not be lower than the safety threshold during the disturbance;

[0053] 3. The present invention integrates frequency reserve and deep peak regulation provided by energy storage and thermal power into the power system dispatching model, which is conducive to generating a comprehensive dispatching plan that takes into account system frequency regulation and deep peak regulation while taking into account costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 is a flow chart of the steps of the method of the present invention;

[0055] Figure 2 It is the algorithm flow chart of the present invention. DETAILED DESCRIPTION

[0056] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is implemented based on the technical solution of the present invention, and provides a detailed implementation method and specific operation process, but the protection scope of the present invention is not limited to the following embodiments.

[0057] Example 1

[0058] refer to Figure 1 As shown, this embodiment provides a method for deep peak regulation of thermal power and energy storage combined with frequency reserve, including steps S1 to S4, as follows:

[0059] Step S1, input unit parameters, energy storage parameters, system parameters and new energy parameters.

[0060] In step S1, the unit parameters that need to be input include maximum output, minimum output, maximum climbing power, minimum online / offline time, output cost, startup cost and maximum frequency regulation capacity; energy storage parameters include energy storage device capacity, maximum output, charging efficiency and discharge efficiency; system parameters include system rated frequency, damping coefficient, maximum frequency change rate, maximum quasi-steady-state frequency deviation, maximum frequency deviation, line impedance, line transmission capacity and node load; new energy parameters include new energy output curve and unit output cost.

[0061] Step S2, establishing a frequency resource model of the thermal power unit and a fast frequency regulation model of the energy storage according to the input parameters, and setting constraints on the frequency reserve power of the thermal power unit and the frequency regulation power of the energy storage;

[0062] The frequency reserve power constraint of the thermal power unit in the thermal power unit frequency resource model is:

[0063]

[0064] in, It is used as a stand-alone frequency regulation standby for thermal power units. is the operating status of the thermal power unit, When it is 1, the thermal power unit is running. When it is 0, the thermal power unit is shut down. It is the largest single-unit frequency regulation standby for thermal power units.

[0065] In this embodiment, the upper limit constraint of the standby power of the unit is:

[0066]

[0067] Among them, P u,t Indicates the output of a single thermal power unit. It is the maximum output of a single thermal power unit.

[0068] The energy storage frequency regulation power limit constraint of the energy storage fast frequency regulation model is:

[0069]

[0070] in, It is a fast frequency regulation standby for energy storage. and They are the charging power, discharging power and maximum discharging power of the energy storage device respectively;

[0071] The energy storage frequency regulation energy limit constraint of the energy storage fast frequency regulation model is:

[0072]

[0073] in, is the energy storage level, t reg,dur is the duration of one frequency modulation, η d is the energy storage discharge efficiency, Minimum energy level allowed for energy storage.

[0074] Step S3, based on the input parameters, a model of deep peak regulation and frequency regulation is established, and constraints are set on the balance of deep peak regulation output, total frequency regulation resources and frequency safety standards.

[0075] In step S3, the model of deep peak regulation and frequency regulation includes a system deep peak regulation model, a total frequency regulation resource metering model and a system frequency safety model. The system deep peak regulation model establishes a deep peak regulation output balance constraint, the total frequency regulation resource metering model establishes a total frequency regulation resource constraint for thermal power units and a total frequency regulation resource constraint for energy storage, and the system frequency safety model establishes a maximum quasi-steady-state frequency deviation constraint and a frequency minimum point constraint.

[0076] In this embodiment, the deep peak load shaving output balance constraint of the system deep peak load shaving model is:

[0077]

[0078] Among them, Ω k and Ω sRepresent the collection of new energy and energy storage respectively, Contribute to new energy Receive charging power from new energy sources for energy storage, The amount of new energy power discarded, Contribute to new energy forecasting.

[0079] In this embodiment, the total frequency regulation resources include the total frequency regulation resources of thermal power units and the total frequency regulation resources of energy storage. The total frequency regulation resource constraint of the thermal power units in the total frequency regulation resource metering model is:

[0080]

[0081] in, It is the total frequency regulation standby for thermal power units. Provide frequency regulation and standby for thermal power units;

[0082] The total frequency regulation resource constraint of energy storage in the total frequency regulation resource metering model is:

[0083]

[0084] in, Indicates total frequency regulation reserve of energy storage, Provide fast frequency regulation and standby for energy storage units.

[0085] In this embodiment, the frequency safety standard includes a maximum quasi-steady-state frequency deviation limit and a frequency minimum point limit;

[0086] In this embodiment, the maximum quasi-steady-state frequency deviation constraint of the system frequency security model is:

[0087]

[0088] in, is the system load power shortage, is the maximum quasi-steady-state frequency deviation allowed by the system, f D is the system damping coefficient, is the total system load;

[0089] In this embodiment, the frequency minimum point size constraint of the system frequency safety model is:

[0090]

[0091] Where Δf max is the maximum frequency deviation allowed by the system, is the total inertia level of the system, T e is the energy storage frequency regulation reserve release time, T g It is the frequency regulation standby release time for thermal power units.

[0092] Step S4: establishing a dispatch model of a power system with energy storage that integrates deep peak regulation and frequency regulation functions based on the input parameters.

[0093] In this embodiment, the objective function of the dispatch model of the power system with energy storage integrated with deep peak regulation and frequency regulation function is the sum of the new energy output cost and the unit operation cost;

[0094] The expression of the objective function of the dispatch model of the power system with energy storage that integrates deep peak regulation and frequency regulation functions is:

[0095]

[0096] Among them, RC and UC represent the new energy cost and unit cost respectively, Ω G represents the set of thermal power units, c w The unit cost of new energy output is and They are the unit output cost, no-load cost and startup cost of thermal power units. Indicates the start-up action of the unit. When it is 1, the power-on action occurs. When it is 0, it means other situations.

[0097] In this embodiment, the constraints of the dispatch model of the power system with energy storage that integrates deep peak regulation and frequency regulation functions include the models to which steps S2 and S3 belong and the energy storage operation model, the unit operation model, and the system grid operation model. The models are reflected as constraints in the optimization model, among which the system grid operation model can select a suitable model according to the characteristics of the application grid.

[0098] Among the constraints of the dispatch model of the power system with energy storage that integrates deep peak regulation and frequency regulation functions, the energy storage operation model is as follows:

[0099] In this embodiment, the charging power constraint is:

[0100] In this embodiment, the discharge power constraint is:

[0101] Among them, the charging power constraint stipulates the upper and lower limits of the energy storage charging and discharging power. They represent the upper limits of the charging and discharging power of the energy storage element s respectively;

[0102] In this embodiment, the state of charge timing constraints are:

[0103]

[0104] Among them, the SOC timing constraint reflects the relationship between the SOC of the energy storage during the charging and discharging process and the charging and discharging power as well as the SOC at the previous moment, and is affected by the charging and discharging efficiency. s,t represents the charge state of the selected energy storage element s at time t, η c , η d They represent the charging efficiency and discharging efficiency of energy storage respectively;

[0105] In this embodiment, the upper and lower limits of the state of charge are constrained as follows:

[0106] Among them, the upper and lower limit constraints of the state of charge limit the state of charge to a reasonable range. Soc s Respectively represent the upper and lower limits of the state of charge of the energy storage element s;

[0107] In this embodiment, the initial and final charge consistency constraints are:

[0108]

[0109] Among them, the initial and final charge consistency constraint is a constraint set for the sustainable use of energy storage in each dispatch cycle. Soc s,T They respectively represent the charge state of the energy storage element at the beginning and end of the scheduling cycle.

[0110] In the constraints of the dispatch model of the power system with energy storage that integrates deep peak regulation and frequency regulation functions, the unit operation model is as follows:

[0111] In this embodiment, the unit output constraint is:

[0112]

[0113] in, They are the upper and lower limits of the unit output respectively;

[0114] In this embodiment, the unit climbing constraint is:

[0115] P u,t -P u,t-1 ≤RU u ,u∈Ω G ,

[0116] -P u，t +P u,t-1 ≤RD u ,u∈Ω G ,

[0117] Among them, RU u , RD u They are the upper and lower power limits for the unit’s climbing respectively;

[0118] In this embodiment, the minimum online and offline time constraints of the unit are:

[0119]

[0120] Among them, the minimum online and offline time constraints of the unit are the objective restrictions on the minimum online / offline time that the unit needs to maintain after startup / shutdown. u , TD u The minimum online time and offline time of the unit;

[0121] In this embodiment, the unit switch action and online state logic constraints are:

[0122]

[0123] Among them, the unit switching action and online status logic constraints define the relationship between the unit start / shutdown action and the online status.

[0124] In this embodiment, the dispatch model of the power system with energy storage that integrates deep peak regulation and frequency regulation functions involves multiple parameters, which can be divided into four categories based on the source of the parameters: unit parameters, energy storage parameters, system parameters and new energy parameters. The specific required parameters are shown in Table 1 below.

[0125] Table 1 Parameters that need to be obtained for the power system dispatch model

[0126]

[0127] Step S5, solving the scheduling model according to the constraints and input parameters to obtain an optimized system scheduling strategy for deep peak regulation and frequency regulation functions.

[0128] In this embodiment, the relevant equipment and system parameters obtained in steps S1-S4 are integrated into the dispatch model of the power system with energy storage that integrates deep peak regulation and frequency regulation functions constructed in step S5. Subsequently, the mixed integer programming is solved by a commercial solver to obtain an optimized system dispatch plan for deep peak regulation and frequency regulation functions, which specifically covers the optimized dispatch strategy of thermal power units and the optimized dispatch strategy of energy storage equipment.

[0129] Example 2

[0130] According to the method disclosed in Example 1, this embodiment provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of a method for deep peak regulation of thermal power and energy storage combined with frequency backup as disclosed above are implemented.

[0131] Multiple components in the device are connected to the I / O interface, including: input units, such as keyboards, mice, etc.; output units, such as various types of displays, speakers, etc.; storage units, such as disks, optical disks, etc.; and communication units, such as network cards, modems, wireless communication transceivers, etc. The communication unit allows the device to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunication networks.

[0132] The processing unit performs the various methods and processes described above, such as steps S1-S5. For example, in some embodiments, steps S1-S5 may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit.

[0133] The computer program code algorithm for implementing the method of the present invention is as follows Figure 2 As shown in the figure, the specific algorithm operation process includes:

[0134] Import unit parameters, energy storage parameters, system parameters and new energy parameters;

[0135] Establish a model where thermal power units provide frequency regulation and standby, and an energy storage system provides rapid frequency regulation;

[0136] Establish system deep peak regulation model, total frequency regulation resource measurement model and system frequency security model;

[0137] Supplement the energy storage operation model, unit operation model and system grid operation model;

[0138] Set up the objective function and build a power system dispatch model with energy storage that integrates deep peak load regulation and frequency regulation functions;

[0139] Solve the power system dispatch model and obtain the optimized thermal power and energy storage dispatch strategies.

[0140] The computer program code for implementing the method of the present invention may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0141] The preferred specific embodiments of the present invention are described in detail above. It should be understood that a person skilled in the art can make many modifications and changes based on the concept of the present invention without creative work. Therefore, any technical solution that can be obtained by a person skilled in the art through logical analysis, reasoning or limited experiments based on the concept of the present invention on the basis of the prior art should be within the scope of protection determined by the claims.

Claims

1. A method for deep peak regulation of thermal power and energy storage combined with frequency backup, characterized in that: The following steps are involved: Input unit parameters, energy storage parameters, system parameters and new energy parameters; Based on the input parameters, a frequency resource model for thermal power units and a rapid frequency regulation model for energy storage are established, and constraints are set for the frequency reserve power of thermal power units and the frequency regulation power of energy storage. Based on the input parameters, a model for deep peak shaving and frequency regulation is established, and constraints are set on the balance of deep peak shaving output, total frequency regulation resources, and frequency safety standards; Based on the input parameters, a dispatch model for a power system with energy storage is established, integrating deep peak regulation and frequency regulation functions. Based on the constraints and input parameters, the scheduling model is solved to obtain the optimized system scheduling strategy for deep peak shaving and frequency regulation functions.

2. The method for deep peak regulation of thermal power and energy storage combined with frequency backup according to claim 1, characterized in that: The frequency reserve power constraint of the thermal power unit frequency resource model is: in, It is used as a stand-alone frequency regulation standby for thermal power units. The operating status of the thermal power unit. When the thermal power unit is running, When it is 0, the thermal power unit is shut down. It is the largest single-unit frequency regulation standby for thermal power units; The output upper limit constraint of the thermal power unit frequency reserve power in the thermal power unit frequency resource model is: Among them, P u,t Indicates the output of a single thermal power unit. Indicates the maximum output of a single thermal power unit.

3. The method for deep peak regulation of thermal power and energy storage combined with frequency backup according to claim 1, characterized in that: The energy storage frequency regulation power limit constraint of the energy storage rapid frequency regulation model is: in, It is a fast frequency regulation standby for energy storage. and are the charging power, discharging power and maximum discharge power of the energy storage device respectively; The energy storage frequency regulation energy limit constraint of the energy storage rapid frequency regulation model is: in, is the energy storage level, t reg,dur is the duration of one frequency modulation, η d is the energy storage discharge efficiency, Minimum energy level allowed for energy storage.

4. The method for deep peak regulation of thermal power and energy storage combined with frequency backup according to claim 1, characterized in that: The model of deep peak regulation and frequency regulation includes a system deep peak regulation model, a total frequency regulation resource metering model and a system frequency security model. The system deep peak regulation model establishes a deep peak regulation output balance constraint, the total frequency regulation resource metering model establishes a total frequency regulation resource constraint for thermal power units and a total frequency regulation resource constraint for energy storage, and the system frequency security model establishes a maximum quasi-steady-state frequency deviation constraint and a frequency minimum point constraint.

5. The method for deep peak regulation of thermal power and energy storage combined with frequency backup according to claim 4, characterized in that: The deep peak-shaving output balance constraint of the system deep peak-shaving model is: Among them, Ω k and Ω s Represent the collection of new energy and energy storage respectively, Make practical contributions to new energy, Receive charging power from new energy for energy storage, The amount of new energy power discarded, Contribute to new energy forecasting.

6. The method for deep peak regulation of thermal power and energy storage combined with frequency backup according to claim 4, characterized in that: The total frequency regulation resources include the total frequency regulation resources of thermal power units and the total frequency regulation resources of energy storage. The total frequency regulation resource constraint of the thermal power units in the total frequency regulation resource measurement model is: in, It is the total frequency regulation standby for thermal power units. Provide frequency regulation and standby for thermal power units; The total frequency regulation resource constraint of energy storage in the total frequency regulation resource metering model is: in, Indicates the total frequency regulation reserve of energy storage, Provides fast frequency regulation and backup for single energy storage units.

7. The method for deep peak regulation of thermal power and energy storage combined with frequency backup according to claim 4, characterized in that: The frequency safety standard includes a maximum quasi-steady-state frequency deviation limit and a frequency minimum point limit. The maximum quasi-steady-state frequency deviation constraint of the system frequency safety model is: in, is the system load power shortage, is the maximum quasi-steady-state frequency deviation allowed by the system, f D is the system damping coefficient, is the total system load; The frequency minimum point size constraint of the system frequency safety model is: Where Δf max is the maximum frequency deviation allowed by the system, is the total inertia level of the system, T e is the energy storage frequency regulation reserve release time, T g It is the frequency regulation standby release time of thermal power units.

8. The method for deep peak regulation of thermal power and energy storage combined with frequency backup according to claim 1, characterized in that: The objective function of the dispatch model of the power system with energy storage integrated with deep peak regulation and frequency regulation functions is the sum of the new energy output cost and the unit operation cost. The expression of the objective function is: Among them, RC and UC represent the cost of new energy and unit cost respectively, Ω G represents the set of thermal power units, c w The unit cost of new energy output is and are the unit output cost, no-load cost and startup cost of thermal power units, Indicates the start-up action of the unit. When it is 1, the power-on action occurs. When it is 0, it represents other situations.

9. The method for deep peak regulation of thermal power and energy storage combined with frequency backup according to claim 1, characterized in that: The input parameters used to establish the scheduling model for the power system with energy storage that integrates deep peak regulation and frequency regulation functions include unit parameters, energy storage parameters, system parameters and new energy parameters, among which the unit parameters include maximum output, minimum output, maximum climbing power, minimum online / offline time, output cost, startup cost and maximum frequency regulation capacity; the energy storage parameters include energy storage equipment capacity, maximum output, charging efficiency and discharge efficiency; the system parameters include system rated frequency, damping coefficient, maximum frequency change rate, maximum quasi-steady-state frequency deviation, maximum frequency deviation, line impedance, line transmission capacity and node load; the new energy parameters include new energy output curve and unit output cost.

10. The method for deep peak regulation of thermal power and energy storage combined with frequency backup according to claim 1, characterized in that: The optimized system scheduling scheme for deep peak regulation and frequency regulation functions includes an optimized thermal power unit scheduling strategy and an optimized energy storage equipment scheduling strategy.

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