Multi-element energy storage planning evaluation method for adjusting electric power and electric quantity balance

Abstract

The invention discloses a multi-element energy storage planning evaluation method for adjusting electric power and electric quantity balance, and belongs to the technical field of electric power energy storage, and the method comprises the steps: S1, building a universal model representing the economic characteristics of a multi-element energy storage technology; s2, based on the generalization model of the economic characteristics of the multi-element energy storage technology and the economic characteristics of the multi-element power supply combination and the AC / DC power grid, establishing an electric power system operation simulation planning evaluation model considering the electric power and electric quantity balance and the system regulation capability; according to the method, the differentiated technical and economic characteristics of different types of energy storage systems are reflected as numerical differences of model regulation and control parameters, scheduling models of different types of energy storage systems can be kept consistent in the aspect of constraint condition constitutive forms, and the universal energy storage model and the evaluation method are not only suitable for three-item energy storage systems, but also suitable for three-item energy storage systems. The method can be applied to scheduling modeling of energy storage devices of different types and scheduling modeling of energy storage devices of other types, has good universality, universality and expansibility, and facilitates aggregation and unified regulation and control of energy storage operators on more types of energy storage facilities.

Description

Technical Field

[0001] The present application belongs to the field of electric energy storage technology, and specifically, relates to a multi-element energy storage planning and evaluation method for regulating electric power balance. Background Art

[0002] In order to achieve the goals of "carbon peak" and "carbon neutrality", my country will continue to deepen the reform of the power system, accelerate the pace of clean energy substitution, and build a new energy supply and consumption system, which is also an important direction for the development of the power industry; the power generation output of new energy represented by wind power and photovoltaic power generation has great uncertainty, weak controllability and volatility. The large-scale access of new energy will increase the uncertainty of the power generation of the power system, reduce the ability to maintain the balance of power and electricity, and highlight the problems of wind and light abandonment, and even load loss may occur; energy storage has the ability to adjust quickly and flexibly, and can coordinate with new energy sites to absorb the surplus output of new energy, provide peak and frequency regulation support for the power grid, and effectively ensure the flexible, safe and stable operation of the power system. Among them, the energy storage planning evaluation method is a special method for comprehensive evaluation of energy storage models.

[0003] A reliability assessment method for regional energy internet considering multiple energy storage was disclosed on 2020-09-15, with publication number CN111666698A, and includes: establishing mathematical models of each device in the regional energy internet respectively, wherein the devices in the energy internet include cogeneration units, power-to-gas equipment and storage batteries; establishing mathematical models of the natural gas subsystem and thermal subsystem in the energy internet respectively; selecting regional energy internet reliability assessment indicators; regional energy internet fault analysis; and conducting reliability assessment of regional energy internet considering multiple energy storage. The present invention can expand the research object of reliability assessment from park-level integrated energy stations to regional-level energy internets, comprehensively consider the impact of multiple energy storage resources on reliability assessment, and thus reasonably guide the planning and operation of regional energy internets; in addition, considering the chain reaction of failures between different energy subsystems, it can effectively understand and avoid the mutual influence of each energy subsystem after failure.

[0004] However, in the actual evaluation process, the above evaluation method has the problem of not being able to objectively, comprehensively and specifically evaluate the various indicators of the energy storage system. Summary of the invention

[0005] In order to solve the above problems and technical defects, the embodiment of the present application adopts the following technical solution, a multi-energy storage planning and evaluation method for adjusting power and electricity balance, comprising:

[0006] Step S1, establishing a universal model of economic characteristics of multiple energy storage technologies;

[0007] Step S2: Based on the universal model of economic characteristics of multiple energy storage technologies, multiple power source combinations and economic characteristics of AC and DC power grids, a power system operation simulation planning and evaluation model that takes into account both power and electricity balance and system regulation capabilities is established;

[0008] Step S3: Calculate energy storage economy using a power system operation simulation planning and evaluation model to obtain economic information;

[0009] Step S4: Use the power system operation simulation planning evaluation model to perform diversified evaluation on the economic information.

[0010] Preferably, the specific steps of step S1 are as follows:

[0011] S101. Establish a dispatch model for the general technical and economic characteristics of multi-element energy storage systems;

[0012] S102, establishing a dispatch model for differentiated technical and economic characteristics of a multi-element energy storage system, and using the dispatch model describing the differentiated technical and economic characteristics of a multi-element energy storage system to perform parameter calculation and correction on the dispatch model describing the general technical and economic characteristics of a multi-element energy storage system, to obtain a corrected dispatch model for the general technical and economic characteristics of a multi-element energy storage system;

[0013] S103, linearizing the revised dispatch model of the universal technical and economic characteristics of the multi-element energy storage system to obtain a universal model of the technical and economic characteristics of the multi-element energy storage system.

[0014] Furthermore, the dispatch model of the general technical and economic characteristics of the multi-element energy storage system includes operating cost constraints and operating external characteristic constraints of the multi-element energy storage system;

[0015] The external operating characteristic constraints of the multi-element energy storage system include: charge and discharge power limit constraints, capacity change rate constraints, remaining storage capacity limit constraints and charge and discharge state constraints;

[0016] The dispatch model of differentiated technical and economic characteristics of the multi-element energy storage system includes: a multi-element energy storage system wide operating condition characteristic sub-model, a multi-element energy storage system operating efficiency dynamic change characteristic sub-model and a multi-element energy storage system life loss characteristic sub-model;

[0017] The multi-element energy storage system wide-operating-condition operation characteristic sub-model includes setting the minimum value of the charge and discharge power of each energy storage system;

[0018] The sub-model of dynamic change characteristics of the operating efficiency of the multivariate energy storage system includes setting the efficiency function of each energy storage system;

[0019] The multivariate energy storage system life loss characteristic sub-model includes setting a life loss cost function for each energy storage system.

[0020] Furthermore, the dispatch model of differentiated technical and economic characteristics includes a differentiated technical and economic characteristics dispatch model construction module; when linearizing the revised dispatch model describing the general technical and economic characteristics of the multivariate energy storage system, a linearization module is used;

[0021] The differentiated technical and economic characteristics scheduling model construction module is used to establish a scheduling model that describes the differentiated technical and economic characteristics of the multi-energy storage system, and use the scheduling model that describes the differentiated technical and economic characteristics of the multi-energy storage system to calculate and correct the parameters of the scheduling model that describes the general technical and economic characteristics of the multi-energy storage system, so as to obtain a corrected scheduling model that describes the general technical and economic characteristics of the multi-energy storage system;

[0022] The linearization module is used to linearize the modified dispatch model describing the general technical and economic characteristics of the multi-element energy storage system to obtain a generalized model of the technical and economic characteristics of the multi-element energy storage system.

[0023] Furthermore, the power system operation simulation planning and evaluation model includes an energy storage benefit evaluation module, an energy storage economic calculation module and an energy storage levelized cost economic calculation module.

[0024] Furthermore, the energy storage benefit evaluation module is used to evaluate the cost-effectiveness of energy storage under different cases; the specific evaluation process includes: inputting energy storage technology data into the power system operation simulation planning evaluation model, calculating the data value through the energy storage benefit evaluation module, and performing its own preliminary evaluation based on the data value.

[0025] Furthermore, when calculating the energy storage economy, the energy storage economy calculation module uses the following calculation formula:

[0026] Pm=(λ-1)×100%

[0027] Pm is the profit margin and λ is the break-even value.

[0028] Furthermore, whether the energy storage is profitable is determined based on the size of the λ value. When λ>1, Pm>0, the energy storage enterprise is profitable. The larger λ is, the higher the profit margin is. When λ≤1, the energy storage enterprise is at a loss.

[0029] Compared with the prior art, the beneficial effects of the embodiments of the present application are:

[0030] (1) In this application, the differentiated technical and economic characteristics of different types of energy storage systems will be reflected as the numerical differences of the model control parameters. The scheduling models of different types of energy storage systems will be able to maintain consistency in the form of constraint conditions. Therefore, the proposed universal energy storage model and evaluation method are not only applicable to the three energy storage systems, but also to the scheduling modeling of other types of energy storage equipment. It has good versatility, versatility and extensibility, which is convenient for energy storage operators to aggregate and uniformly control more types of energy storage facilities. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In the attached picture:

[0032] Figure 1 The process of the embodiment of this application Figure 1 ;

[0033] Figure 2 The process of the embodiment of this application Figure 2 . DETAILED DESCRIPTION

[0034] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Generally, the components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations.

[0035] Example:

[0036] like Figure 1-Figure 2 As shown, a multivariate energy storage planning and evaluation method for adjusting power and electricity balance includes:

[0037] Step S1, establishing a universal model of economic characteristics of multiple energy storage technologies;

[0038] Step S2: Based on the universal model of economic characteristics of multiple energy storage technologies, multiple power source combinations and economic characteristics of AC and DC power grids, a power system operation simulation planning and evaluation model that takes into account both power and electricity balance and system regulation capabilities is established;

[0039] Step S3: Calculate energy storage economy using a power system operation simulation planning and evaluation model to obtain economic information;

[0040] Step S4: Use the power system operation simulation planning evaluation model to conduct diversified evaluation of economic information.

[0041] The specific steps of step S1 are as follows:

[0042] S101. Establish a dispatch model for the general technical and economic characteristics of multi-element energy storage systems;

[0043] S102, establishing a dispatch model for differentiated technical and economic characteristics of a multi-energy storage system, and using the dispatch model describing the differentiated technical and economic characteristics of a multi-energy storage system to calculate and correct parameters of a dispatch model describing the general technical and economic characteristics of a multi-energy storage system, to obtain a corrected dispatch model for the general technical and economic characteristics of a multi-energy storage system;

[0044] S103. Linearize the revised dispatch model of the general technical and economic characteristics of the multi-element energy storage system to obtain a generalized model of the technical and economic characteristics of the multi-element energy storage system.

[0045] 3. A multi-element energy storage planning and evaluation method for adjusting the balance of electric power according to claim 2, characterized in that the scheduling model of the general technical and economic characteristics of the multi-element energy storage system includes operating cost constraints and operating external characteristic constraints of the multi-element energy storage system;

[0046] The external operating characteristic constraints of the multi-element energy storage system include: charging and discharging power limit constraints, capacity change rate constraints, remaining storage capacity limit constraints, and charging and discharging state constraints;

[0047] The dispatch model of differentiated technical and economic characteristics of multi-energy storage systems includes: a sub-model of the wide-operating-condition operation characteristics of multi-energy storage systems, a sub-model of the dynamic change characteristics of the operation efficiency of multi-energy storage systems, and a sub-model of the life loss characteristics of multi-energy storage systems;

[0048] The sub-model of the wide-operating-condition operation characteristics of the multi-energy storage system includes setting the minimum charging and discharging power of each energy storage system;

[0049] The sub-model of dynamic change characteristics of the operation efficiency of the multi-element energy storage system includes setting the efficiency function of each energy storage system;

[0050] The multivariate energy storage system life loss characteristic sub-model includes setting the life loss cost function of each energy storage system.

[0051] The dispatch model of differentiated technical and economic characteristics includes a differentiated technical and economic characteristics dispatch model building module; when linearizing the revised dispatch model describing the general technical and economic characteristics of the multi-electrochemical energy storage system, a linearization module is used;

[0052] The differentiated technical and economic characteristics dispatch model construction module is used to establish a dispatch model that describes the differentiated technical and economic characteristics of the multi-energy storage system. The dispatch model that describes the differentiated technical and economic characteristics of the multi-energy storage system is used to calculate and correct the parameters of the dispatch model that describes the general technical and economic characteristics of the multi-energy storage system, so as to obtain the corrected dispatch model that describes the general technical and economic characteristics of the multi-energy storage system.

[0053] The linearization module is used to linearize the modified dispatching model describing the general technical and economic characteristics of the multi-element energy storage system, so as to obtain a generalized model of the technical and economic characteristics of the multi-element energy storage system.

[0054] The power system operation simulation planning and evaluation model includes an energy storage benefit evaluation module, an energy storage economic calculation module and an energy storage levelized cost economic calculation module.

[0055] The energy storage benefit evaluation module is used to evaluate the cost-effectiveness of energy storage under different cases; the specific evaluation process includes: inputting energy storage technology data into the power system operation simulation planning evaluation model, calculating the data value through the energy storage benefit evaluation module, and conducting its own preliminary evaluation based on the data value.

[0056] When calculating energy storage economy, the energy storage economy calculation module uses the following calculation formula:

[0057] P m＝ ( λ - 1 ) ×100％

[0058] Pm is the profit margin and λ is the break-even value.

[0059] Whether energy storage is profitable is determined by the size of the λ value. When λ>1, Pm>0, the energy storage enterprise is profitable. The larger λ is, the higher the profit margin is. When λ≤1, the energy storage enterprise is at a loss.

[0060] In this application, the differentiated technical and economic characteristics of different types of energy storage systems will be reflected as numerical differences in model control parameters, and the scheduling models of different types of energy storage systems will be able to maintain consistency in the form of constraint conditions. Therefore, the proposed universal energy storage model and evaluation method are not only applicable to the three energy storage systems, but also to the scheduling modeling of other types of energy storage equipment. It has good versatility, versatility and expansibility, which is convenient for energy storage operators to aggregate and uniformly control more types of energy storage facilities.

[0061] The above-mentioned embodiments only express the preferred implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for ordinary technicians in this field, several modifications, improvements and substitutions can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application.

Claims

1. A multivariate energy storage planning and evaluation method for adjusting power and electricity balance, characterized in that: include: Step S1, establishing a universal model of economic characteristics of multiple energy storage technologies; Step S2: Based on the universal model of economic characteristics of multiple energy storage technologies, multiple power source combinations and economic characteristics of AC and DC power grids, a power system operation simulation planning and evaluation model that takes into account both power and electricity balance and system regulation capabilities is established; Step S3: Calculate energy storage economy using a power system operation simulation planning and evaluation model to obtain economic information; Step S4: Use the power system operation simulation planning evaluation model to perform diversified evaluation on the economic information.

2. A multi-element energy storage planning and evaluation method for adjusting power and electricity balance according to claim 1, characterized in that: The specific steps of step S1 are as follows: S101. Establish a dispatch model for the general technical and economic characteristics of multi-element energy storage systems; S102, establishing a dispatch model for differentiated technical and economic characteristics of a multi-element energy storage system, and using the dispatch model describing the differentiated technical and economic characteristics of a multi-element energy storage system to perform parameter calculation and correction on the dispatch model describing the general technical and economic characteristics of a multi-element energy storage system, to obtain a corrected dispatch model for the general technical and economic characteristics of a multi-element energy storage system; S103, linearizing the revised dispatch model of the universal technical and economic characteristics of the multi-element energy storage system to obtain a universal model of the technical and economic characteristics of the multi-element energy storage system.

3. A multi-element energy storage planning and evaluation method for adjusting power and electricity balance according to claim 2, characterized in that: The dispatch model of the general technical and economic characteristics of the multi-element energy storage system includes operating cost constraints and operating external characteristic constraints of the multi-element energy storage system; The external operating characteristic constraints of the multi-element energy storage system include: charge and discharge power limit constraints, capacity change rate constraints, remaining storage capacity limit constraints and charge and discharge state constraints; The dispatch model of differentiated technical and economic characteristics of the multi-element energy storage system includes: a multi-element energy storage system wide operating condition characteristic sub-model, a multi-element energy storage system operating efficiency dynamic change characteristic sub-model and a multi-element energy storage system life loss characteristic sub-model; The multi-element energy storage system wide-operating-condition operation characteristic sub-model includes setting the minimum value of the charge and discharge power of each energy storage system; The sub-model of dynamic change characteristics of the operating efficiency of the multivariate energy storage system includes setting the efficiency function of each energy storage system; The multivariate energy storage system life loss characteristic sub-model includes setting a life loss cost function for each energy storage system.

4. A multi-element energy storage planning and evaluation method for adjusting power and electricity balance according to claim 3, characterized in that: The dispatch model of differentiated technical and economic characteristics includes a differentiated technical and economic characteristics dispatch model construction module; when linearizing the revised dispatch model describing the general technical and economic characteristics of the multivariate energy storage system, a linearization module is used; The differentiated technical and economic characteristics scheduling model construction module is used to establish a scheduling model that describes the differentiated technical and economic characteristics of the multi-energy storage system, and use the scheduling model that describes the differentiated technical and economic characteristics of the multi-energy storage system to calculate and correct the parameters of the scheduling model that describes the general technical and economic characteristics of the multi-energy storage system, so as to obtain a corrected scheduling model that describes the general technical and economic characteristics of the multi-energy storage system; The linearization module is used to linearize the modified dispatching model describing the general technical and economic characteristics of the multi-element energy storage system to obtain a generalized model of the technical and economic characteristics of the multi-element energy storage system.

5. A multi-element energy storage planning and evaluation method for adjusting power and electricity balance according to claim 1, characterized in that: The power system operation simulation planning and evaluation model includes an energy storage benefit evaluation module, an energy storage economic calculation module and an energy storage levelized cost economic calculation module.

6. A multi-element energy storage planning and evaluation method for adjusting power and electricity balance according to claim 5, characterized in that: The energy storage benefit evaluation module is used to evaluate the energy storage cost-effectiveness under different cases; The specific process of the evaluation includes: inputting energy storage technology data into the power system operation simulation planning evaluation model, calculating the data value through the energy storage benefit evaluation module, and conducting a preliminary evaluation of itself based on the data value.

7. A multi-element energy storage planning and evaluation method for adjusting power and electricity balance according to claim 6, characterized in that: When calculating the energy storage economy, the energy storage economy calculation module uses the following calculation formula: Pm=(λ-1)×100% Pm is the profit margin and λ is the break-even value.

8. A multi-element energy storage planning and evaluation method for adjusting power and electricity balance according to claim 7, characterized in that: Whether energy storage is profitable is determined by the size of the λ value. When λ>1, Pm>0, the energy storage enterprise is profitable. The larger the λ, the higher the profit margin. When λ≤1, the energy storage enterprise is at a loss.

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