Alternative energy storage feasibility evaluation method based on access evaluation index

Abstract

The invention relates to an alternative energy storage feasibility evaluation method based on an access evaluation index, and the method comprises the following steps: determining a typical application scene, and taking the application scene as a first level of an evaluation system; establishing an access index evaluation system comprising a plurality of application scenes; configuring an evaluation standard of the access index evaluation system; calculating a feasibility evaluation index I of the alternative energy storage scheme; and judging whether the feasibility evaluation index I exceeds a threshold value T. According to the method, a feasibility evaluation method comprising multiple application scenes is established, and different access evaluation indexes and evaluation standards are set for the application scenes with different energy storage consumption characteristics; and the feasibility evaluation index is set, and the feasibility evaluation index is calculated in two dimensions of economy and technicality, so that the comprehensiveness of the evaluation system is improved, and the accuracy of the evaluation result is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of alternative energy storage, and in particular relates to a feasibility assessment method for alternative energy storage based on access assessment indicators. Background Art

[0002] Alternative energy storage refers to a concept that plays a role in the power system similar to traditional energy storage technology, but uses new energy storage technology. It is mainly used to balance and stabilize the output of renewable energy power generation, realize peak shaving and valley filling of the power system, provide auxiliary services such as system frequency regulation and spare capacity, and reduce the loss of wind, solar and hydropower. Specific application scenarios include power supply side distribution storage, grid side energy storage and user side energy storage. Power supply side distribution storage is mainly used in large bases and desertified areas to obtain reasonable returns through the peak-valley price difference in the market; grid side energy storage is mainly used to provide power auxiliary services such as peak shaving and frequency regulation to increase the stability of the power grid; user side energy storage mainly serves industrial and commercial users, and reduces users' energy costs by optimizing load curves and demand management. The economic feasibility of alternative energy storage mainly depends on its source of income and cost-sharing mechanism, while the technicality depends on the difficulty of implementing the solution. Summary of the invention

[0003] The purpose of this invention is to overcome the shortcomings of the existing technology. Alternative energy storage has not yet been built on a large scale, and related research is also in the qualitative demonstration stage. Therefore, the applicable scenarios for the evaluation of the replacement effect of grid energy storage are usually limited to the construction of theoretical models. For actual projects and specific scenarios, the accuracy of qualitative evaluation is poor.

[0004] Design a scheme that can accurately evaluate the feasibility of alternative energy storage. By setting up a three-level evaluation system, first distinguishing the application scenarios and then setting different access evaluation indicators and evaluation standards for application scenarios with different energy storage consumption characteristics, the accuracy of the feasibility evaluation results can be improved.

[0005] The technical solution adopted by the present invention is: an alternative energy storage feasibility assessment method based on access assessment indicators, comprising the following steps:

[0006] Step 1: Determine typical application scenarios and use application scenarios as the first level of the evaluation system;

[0007] Step 2: Establish an access indicator evaluation system that includes multiple application scenarios;

[0008] Step 3: Configure the evaluation criteria for the access indicator evaluation system;

[0009] Step 4: Calculate the feasibility assessment index I of alternative energy storage solutions;

[0010] Step 5: Determine whether the feasibility evaluation index I exceeds the threshold T.

[0011] Specifically, the process of determining the typical application scenario in step 1 includes:

[0012] Step 1.1: Collect energy storage supply and demand characteristic data in different energy storage areas; energy storage supply and demand characteristic data include electricity consumption characteristics and energy storage characteristics; consumption characteristics include electricity consumption, electricity load, maximum electricity load, electricity load change rate, etc., and energy storage characteristics include energy storage type, energy storage efficiency, energy storage system response speed, etc.;

[0013] Step 1.2: Cluster similar areas according to the electricity consumption characteristics of different areas, and each cluster is a typical application scenario. Typical application scenarios can be divided into fast response energy storage, long-term energy storage, high energy density energy storage, and high power density energy storage;

[0014] Furthermore, cluster analysis can use methods such as K-means, hierarchical clustering, DBSCAN, etc.

[0015] In step 2, the first level of the evaluation system is the application scenario, the second level is the evaluation dimension, and the third level is the specific access evaluation index; the energy storage characteristics of the region under the same application scenario are divided from the two dimensions of technicality and economy, that is, the second level of the evaluation system includes technicality and economy; then, from all energy storage characteristics, the characteristics with greater correlation with economy and the evaluation index with greater correlation with technology are selected as the third level of the corresponding dimensions;

[0016] Furthermore, the technical aspects include energy density, power density, cycle life, response time and other entry evaluation indicators; the economic aspects include initial investment cost, operation and maintenance cost, life cycle cost, recovery value and other entry evaluation indicators.

[0017] Furthermore, the second-level evaluation dimensions may also include universality, which includes access evaluation indicators such as compatibility, standardization level, interoperability and scalability.

[0018] In step 3, the evaluation criteria are mainly set by using the assignment method to assign values ​​to each node of the third level. The total scores of the economic and technical dimensions are the same in the same application scenario, that is, the total score of the economic corresponding indicators is the same as the total score of the technical corresponding indicators.

[0019] In step 4, the formula for calculating the feasibility evaluation index I is as follows:

[0020]

[0021] Among them, I represents the feasibility evaluation index, S1 represents the economic score, and S2 represents the technical score; the higher the economic score, the higher the economic value, and the higher the feasibility evaluation index; the higher the technical score, the higher the technical difficulty, and the lower the evaluation index;

[0022] When universality is included in the evaluation dimension, the feasibility evaluation index can be normalized using the universality score, that is, the evaluation dimension scores are added to both economic and technical aspects:

[0023]

[0024] Among them, S0 represents the universality score.

[0025] In step 5, if I≥T, it means that the alternative energy storage solution is feasible, otherwise, it means that the alternative energy storage solution is not feasible.

[0026] The beneficial effects of the present invention are as follows: (1) a three-level evaluation system is set up, in which application scenarios are first differentiated and then different access evaluation indicators and evaluation standards are set for application scenarios with different energy storage consumption characteristics, which can improve the accuracy of feasibility evaluation results;

[0027] (2) The feasibility evaluation index was introduced and calculated based on the economic and technical dimensions to improve the comprehensiveness of the evaluation system and the accuracy of the evaluation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a structural block diagram of the present invention; DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention, and are specifically described in combination with the embodiments below.

[0030] like Figure 1 As shown, the present invention comprises the following steps:

[0031] Step 1: Determine typical application scenarios and use application scenarios as the first level of the evaluation system; the specific process is as follows: Different application scenarios can be considered to have different energy storage requirements.

[0032] By collecting energy storage supply and demand characteristic data from different energy storage areas and then performing cluster analysis on the collected data, it is possible to identify areas with similar energy consumption characteristics. Areas with similar characteristics can be considered to belong to the same application scenario.

[0033] The energy storage supply and demand characteristic data includes two parts: electricity consumption characteristics and energy storage characteristics; consumption characteristics include electricity consumption, electricity load, maximum electricity load, electricity load change rate, etc., and energy storage characteristics include energy storage type, energy storage efficiency, energy storage system response speed, etc.

[0034] Given the different characteristics of electricity consumption in different regions, their energy storage needs are also different, and the feasibility assessment criteria for alternative energy storage are also different; therefore, similar regions are clustered according to the characteristics of electricity consumption in different regions. Cluster analysis can use methods such as K-means, hierarchical clustering, DBSCAN, etc.

[0035] Typical application scenarios can be divided into fast response energy storage, long time energy storage, high energy density energy storage and high power density energy storage.

[0036] Fast response energy storage: In this scenario, the energy storage requirement is to be able to respond quickly to grid demand, and alternative energy storage such as supercapacitors and flywheel energy storage can be used.

[0037] Long-term energy storage: In this scenario, the energy storage requirement is to be able to store energy for a longer period of time; alternative energy storage such as pumped storage and flow batteries can be used.

[0038] High energy density energy storage: In this scenario, the energy storage requirement is to store more energy per unit volume or weight; alternative energy storage such as lithium-ion batteries can be used.

[0039] High power density energy storage: In this scenario, the energy storage requirement is to be able to charge and discharge quickly, and alternative energy storage such as supercapacitors can be used.

[0040] Step 2: Establish an access indicator evaluation system that includes multiple application scenarios; the specific process is as follows:

[0041] As mentioned above, the first level of the evaluation system, that is, the application scenario, is determined based on the characteristics of electricity consumption. Then, the energy storage characteristics of the region under the same application scenario are divided into two dimensions: technical and economic. That is, the second level of the evaluation system includes technical and economic characteristics. Then, from all energy storage characteristics, the characteristics with a greater correlation with economic characteristics and the evaluation indicators with a greater correlation with technical characteristics are selected as the third level of the corresponding dimensions.

[0042] The two dimensions of the second level are introduced below:

[0043] Technicality: including energy density, power density, cycle life, response time and other entry evaluation indicators; technicality can reflect the difficulty of implementation. The specific implementation of these entry evaluation indicators is as follows:

[0044] Energy density: the amount of energy stored per unit volume or unit mass;

[0045] Power density: the capacity of charge and discharge rate, that is, the maximum energy that can be processed per unit time;

[0046] Cycle life: the number of times an energy storage system can be charged and discharged;

[0047] Response Time: The time required to reach full power output from a static state.

[0048] Economic efficiency: including initial investment cost, operation and maintenance cost, life cycle cost, recovery value and other entry evaluation indicators. Economic efficiency can reflect the realization cost height. The specific implementation of these evaluation indicators is as follows:

[0049] Initial investment cost: including the cost of equipment purchase, installation and commissioning;

[0050] Operation and maintenance costs: including the costs of daily operation, maintenance and repairs;

[0051] Life cycle cost: the sum of all costs during the entire service life;

[0052] Recovery value: the residual value of equipment after it is retired.

[0053] According to the development of standardization of alternative energy storage devices, the second-level evaluation dimension can also include universality; universality includes access evaluation indicators such as compatibility, standardization level, interoperability and scalability; the specific implementation of these indicators is as follows:

[0054] Compatibility: includes equipment compatibility and energy type; equipment compatibility refers to whether the energy storage system is compatible with various brands and models of inverters, battery management systems (BMS), monitoring systems and other equipment; energy type refers to whether the energy storage system is suitable for multiple types of energy storage media, such as lithium-ion batteries, lead-acid batteries, sodium-sulfur batteries, flow batteries, etc.

[0055] Standardization level: includes interface standards and communication protocols; interface standards refer to whether the energy storage system complies with industry standard electrical interface specifications to ensure compatibility with other equipment and power grids; communication protocols refer to whether the energy storage system adopts standardized communication protocols, such as Modbus, CANopen, IEC 61850, etc., to achieve seamless exchange of information.

[0056] Interoperability: includes system integration and multi-energy management; system integration refers to whether the energy storage system can be easily integrated with existing grid infrastructure and other renewable energy power generation systems (such as solar photovoltaic panels, wind turbines, etc.); multi-energy management refers to whether the energy storage system can participate in multi-energy management, such as demand response plans for smart grids or microgrid operations.

[0057] Scalability: includes modular design and deployment flexibility; modular design refers to whether energy storage units can be increased or decreased as needed to meet changes in different capacity requirements; deployment flexibility refers to whether the energy storage system supports distributed or centralized deployment and is adjusted according to actual site conditions.

[0058] Step 3: Configure the evaluation criteria for the access indicator evaluation system; the specific process is as follows:

[0059] Here, the evaluation criteria are mainly set by the assignment method, that is, assigning values ​​to each node at the third level. In the same application scenario, the total scores of the economic and technical dimensions are the same, that is, the total score of the economic corresponding indicators is the same as the total score of the technical corresponding indicators.

[0060] The assignment of scores for each access assessment indicator in the assessment dimension can be determined by expert scoring or by quantitative methods such as the analytic hierarchy process (AHP).

[0061] Step 4: Calculate the feasibility evaluation index I of the alternative energy storage solution. The specific process is as follows: The formula for calculating the feasibility evaluation index I is as follows:

[0062]

[0063] Among them, I represents the feasibility evaluation index, S1 represents the economic score, and S2 represents the technical score; the higher the economic score, the higher the economic value, and the higher the feasibility evaluation index; the higher the technical score, the higher the technical difficulty, and the lower the evaluation index;

[0064] When universality is included in the evaluation dimension, the feasibility evaluation index can be normalized using the universality score, that is, the evaluation dimension scores are added to both economic and technical aspects:

[0065]

[0066] Among them, S0 represents the universality score.

[0067] Step 5: Determine whether the feasibility evaluation index I exceeds the threshold T. If I ≥ T, it means that the alternative energy storage solution is feasible, otherwise, it means that the alternative energy storage solution is not feasible.

[0068] The present invention first determines typical application scenarios, and uses application scenarios as the first level of the evaluation system; establishes an access index evaluation system that includes multiple application scenarios; configures the evaluation criteria of the access index evaluation system; calculates the feasibility evaluation index I of alternative energy storage solutions; and determines whether the feasibility evaluation index I exceeds the threshold T. The present invention establishes a feasibility evaluation method that includes multiple application scenarios, sets different access evaluation indicators and evaluation criteria for application scenarios with different energy storage consumption characteristics; sets a feasibility evaluation index, and calculates the feasibility evaluation index from two dimensions, namely, economic and technical, to improve the comprehensiveness of the evaluation system and the accuracy of the evaluation results.

[0069] It will be apparent to those skilled in the art that the invention is not limited to the details of the exemplary embodiments described above and that the invention can be implemented in other specific forms without departing from the spirit or essential features of the invention. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description, and it is intended that all variations within the meaning and scope of the elements of the claims be included in the invention. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. An alternative energy storage feasibility assessment method based on access assessment indicators, characterized in that: The steps include: Step 1: Determine typical application scenarios and use application scenarios as the first level of the evaluation system; Step 2: Establish an access indicator evaluation system that includes multiple application scenarios; Step 3: Configure the evaluation criteria for the access indicator evaluation system; Step 4: Calculate the feasibility assessment index I of the alternative energy storage solution; Step 5: Determine whether the feasibility evaluation index I exceeds the threshold T.

2. The alternative energy storage feasibility assessment method based on access assessment indicators according to claim 1 is characterized in that: The process of determining typical application scenarios in step 1 includes: Step 1.1: Collect energy storage supply and demand characteristic data of different energy storage areas; the energy storage supply and demand characteristic data includes two parts: power consumption characteristics and energy storage characteristics; Step 1.2: Cluster similar areas according to the electricity consumption characteristics of different areas. Each cluster obtained is a typical application scenario.

3. The alternative energy storage feasibility assessment method based on access assessment indicators according to claim 1 is characterized in that: In step 2, the first level of the evaluation system is the application scenario, the second level is the evaluation dimension, and the third level is the specific access evaluation indicator; the energy storage characteristics of the region under the same application scenario are divided from the two dimensions of technicality and economy, that is, the second level of the evaluation system includes technicality and economy; then, from all energy storage characteristics, the characteristics with a greater correlation with economy and the evaluation indicators with a greater correlation with technology are selected as the third level of the corresponding dimensions.

4. The alternative energy storage feasibility assessment method based on access assessment indicators according to claim 1 is characterized in that: In step 3, the evaluation criteria are mainly set by using the assignment method to assign values ​​to each node of the third level. The total scores of the economic and technical dimensions are the same in the same application scenario, that is, the total score of the economic corresponding indicators is the same as the total score of the technical corresponding indicators.

5. The alternative energy storage feasibility assessment method based on access assessment indicators according to claim 1 is characterized in that: In step 4, the formula for calculating the feasibility evaluation index I is as follows: Among them, I represents the feasibility evaluation index, S1 represents the economic score, and S2 represents the technical score; the higher the economic score, the higher the economic value, and the higher the feasibility evaluation index; the higher the technical score, the higher the technical difficulty, and the lower the evaluation index; When universality is included in the evaluation dimension, the feasibility evaluation index can be normalized using the universality score, that is, the evaluation dimension scores are added to both economic and technical aspects: Among them, S0 represents the universality score.

6. The alternative energy storage feasibility assessment method based on access assessment indicators according to claim 1 is characterized in that: In step 5, if I≥T, it means that the alternative energy storage solution is feasible, otherwise, it means that the alternative energy storage solution is not feasible.

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