Energy control method and system for industrial and commercial energy storage power station

Abstract

The present invention belongs to the field of energy storage control technology, and discloses an energy control method for an industrial and commercial energy storage power station, including step one, a predetermined strategy table, and operation according to the preset strategy table; step two, adaptive control, adaptively adjusting the energy storage charging and discharging according to the fluctuation of industrial and commercial loads and photovoltaics; step three, two-level reverse power protection, used to prevent the energy storage system from reversely sending power to the power grid; step four: two-level over-demand protection, used to prevent the energy storage system from being damaged due to excessive load. The method of the present invention is used to perform peak-valley regulation and optimize resource allocation; reduce operation and maintenance costs, realize intelligent and cloud platform management, realize adaptive operation, unmanned duty, intelligent operation and maintenance, and remote management. Safe and reliable, equipment and system configuration, fully improve the reliability of power station operation. Demand-side response, fully reduce the maximum demand cost, determine the maximum demand cost control, and increase revenue.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy storage control, and in particular relates to an energy control method and system for an industrial and commercial energy storage power station. Background Art

[0002] Industrial and commercial energy storage power stations are one of the important application scenarios of new energy storage on the user side. They are energy storage systems used in industrial and commercial terminals. They mainly make full use of the peak-valley price difference and load in various regions, optimize resource allocation, and maximize peak-valley arbitrage. The significant feature is that they are relatively close to the distributed photovoltaic power source end and its load center end. It can not only effectively improve the absorption rate of clean energy, but also effectively reduce the transmission loss of electric energy. It is currently a more practical energy storage method.

[0003] The main problems with current industrial and commercial energy storage power stations are: 1) The impact of photovoltaic fluctuations requires adaptation; 2) Enterprise load fluctuations and changes in production schedules require adaptation; 3) Regional peak and valley electricity prices are adjusted according to seasons and holidays, and automatic adjustment strategies are implemented without user intervention; 4) Energy storage cannot cause electricity to be reversed to the grid; 5) It cannot cause an increase in maximum demand electricity charges, affecting economic benefits. Summary of the invention

[0004] To solve the above problems, the present invention provides an energy control method to overcome the shortcomings of the prior art. The system is configured, and the high reliability design principle is adopted to fully improve the reliability of power station operation, optimize the maximum demand strategy, fully reduce costs, and reduce operation and maintenance costs; at the same time, intelligent and cloud platform management are realized, and adaptive operation, unmanned duty, intelligent operation and maintenance, and remote management are realized.

[0005] In order to achieve the above purpose, the present invention provides the following technical solutions: An energy control method for an industrial and commercial energy storage power station comprises the following steps: Step 1: pre-set strategy table and run according to the pre-set strategy table; Step 2: Adaptive control, which is to adaptively adjust the energy storage charging and discharging according to the fluctuations of industrial and commercial loads and photovoltaics; Step three: two-level reverse power protection is used to prevent the energy storage system from sending power in reverse to the grid.

[0006] Level 1: When the reverse power reaches the preset low value, the system executes a fast program to reduce output, that is, reduce the output power of the energy storage system to prevent the reverse power from further increasing. Level 2: When the reverse power reaches a high set value and a delay occurs, the system will issue a shutdown command, that is, completely stop the output of the energy storage system to protect the safety of the power grid and equipment.

[0007] Step 4: Two-level over-demand protection to prevent the energy storage system from being damaged due to excessive load; Level 1: When the over-demand is below the set value, the rapid program load reduction is executed. That is, when the load exceeds the design capacity of the energy storage system, the system will execute the rapid program load reduction, that is, reduce the load to prevent the system from overloading.

[0008] Level 2: When the over-demand high set value and delay are reached, a shutdown command is issued, which means stopping the operation of the energy storage system to protect the system from damage.

[0009] Furthermore, in step one, the strategy table is a pre-set control strategy for guiding the daily operation of the energy storage system, which is formulated based on historical data, prediction models and system requirements.

[0010] Furthermore, the specific implementation method is: L1: static strategy, running according to the pre-set strategy table; L2: Dynamic strategy, the strategy table can be dynamically updated remotely; L3: Adaptive strategy, adaptive operation based on regional strategy and real-time load.

[0011] Furthermore, in step 2, fully adaptive rapid regulation is used to dynamically adjust the charging and discharging strategy of the energy storage system according to real-time data. The constraints are:

[0012]

[0013]

[0014] Where P G is the threshold load, P S For energy storage, P V is the photovoltaic output, P L For industrial and commercial loads, .

[0015] Quick adjustment method: Reduced output Program load shedding Furthermore, after the control strategy is double-determined by the investor and the user, the control strategy is adjusted and executed.

[0016] Also disclosed is a data acquisition and control system for an industrial and commercial energy storage power station, including a gateway, a photovoltaic power station, a load, an energy storage power station, GPS and Beidou timing, and a control system; wherein, Gateway: Collect the real-time power, voltage, current, power, maximum demand and other information of the gateway. Photovoltaic power station: collect the actual and predicted power, voltage, current and electricity, maximum demand and other information of the photovoltaic power station; Load: collects real-time and predicted power, voltage, current, electricity, maximum demand and other information at the gateway; Energy storage power station: collects data such as PCS (Power Conversion System) and BMS (Battery Management System) and realizes control; GPS and Beidou time synchronization, high-precision time synchronization system, ensures that the system is accurate to the second; Control system: manage the collected data and formulate strategies.

[0017] Working principle and beneficial effects: 1. The method of the present invention is used to load-shift and fill valleys, and optimize resource allocation. 2. Reduce operation and maintenance costs, realize intelligent and cloud platform management, realize adaptive operation, unmanned duty, intelligent operation and maintenance, and remote management. 3. Safe and reliable, equipment and system configuration, fully improve the reliability of power station operation. 4. Demand-side response, fully reduce the maximum demand cost, determine the maximum demand cost control, and increase revenue. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 This is a schematic diagram of the fully adaptive rapid adjustment principle of the present invention.

[0019] Figure 2 It is a structural schematic diagram of the present invention. DETAILED DESCRIPTION

[0020] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments. Example

[0021] like Figure 1 , Figure 2 An energy control method for an industrial and commercial energy storage power station is shown, and an energy control method for an industrial and commercial energy storage power station includes the following steps: Step 1: pre-set strategy table and run according to the pre-set strategy table; Step 2: Adaptive control, adaptively adjusting energy storage charging and discharging according to fluctuations in industrial and commercial loads and photovoltaics; Step three: two-level reverse power protection to prevent the energy storage system from sending power in reverse to the grid; Level 1: When the reverse power reaches the preset low value, the system executes a fast program to reduce the output, that is, reduce the output power of the energy storage system to prevent the reverse power from further increasing. Level 2: When the reverse power reaches a high set value and a delay occurs, the system will issue a shutdown command, that is, completely stop the output of the energy storage system to protect the safety of the power grid and equipment.

[0022] Step 4: Two-level over-demand protection to prevent the energy storage system from being damaged due to excessive load; Level 1: When the over-demand is below the set value, the rapid program load reduction is executed. That is, when the load exceeds the design capacity of the energy storage system, the system will execute the rapid program load reduction, that is, reduce the load to prevent the system from overloading.

[0023] Level 2: When the over-demand high set value and delay are reached, a shutdown command is issued, which means stopping the operation of the energy storage system to protect the system from damage.

[0024] Step 1: The strategy table is a pre-set control strategy used to guide the daily operation of the energy storage system, which is formulated based on historical data, prediction models and system requirements. The specific execution method is: L1: static strategy, running according to the pre-set strategy table; L2: Dynamic strategy, the strategy table can be dynamically updated remotely; L3: Adaptive strategy, adaptive operation based on regional strategy and real-time load.

[0025] Step 2: Fully adaptive rapid adjustment, dynamically adjust the charging and discharging strategy of the energy storage system according to real-time data, constraints:

[0026]

[0027]

[0028] Where P G is the threshold load, P S For energy storage, P V is the photovoltaic output, P L For industrial and commercial loads, .

[0029] Quick adjustment method: Reduced output Program load shedding After the control strategy is determined by both the investor and the user, the control strategy is adjusted and executed. Example

[0030] like Figure 2 The data acquisition and control system of an industrial and commercial energy storage power station shown in the figure includes a gateway, a photovoltaic power station, a load acquisition, an energy storage power station, a GPS and Beidou time synchronization, and a control system; wherein, Gateway: Collect the real-time power, voltage, current, power, maximum demand and other information of the gateway. Photovoltaic power station: collect the actual and predicted power, voltage, current and electricity, maximum demand and other information of the photovoltaic power station; Load: collects real-time and predicted power, voltage, current, electricity, maximum demand and other information at the gateway; Energy storage power station: collects data such as PCS (Power Conversion System) and BMS (Battery Management System) and realizes control; GPS and Beidou time synchronization, high-precision time synchronization system, ensures that the system is accurate to the second; Control system: manage the collected data and formulate strategies.

[0031] The above are only preferred technical solutions of the present invention. It should be pointed out that ordinary technicians in this technical field can make several improvements without departing from the principles of the present invention. These improvements should also be regarded as the protection scope of the present invention.

Claims

1. An energy control method for an industrial and commercial energy storage power station, characterized in that: Step 1: pre-set strategy table and run according to the pre-set strategy table; Step 2: Adaptive control, which is to adaptively adjust the energy storage charging and discharging according to the fluctuations of industrial and commercial loads and photovoltaics; Step three: two-level reverse power protection to prevent the energy storage system from sending power in reverse to the grid; Step 4: Two-level over-maximum demand protection is used to prevent the energy storage system from over-outputting and causing an increase in maximum demand, which would increase the company's demand electricity charges and affect economic benefits.

2. The method according to claim 1, characterized in that: Step 1: The strategy table is a pre-set control strategy used to guide the daily operation of the energy storage system, which is formulated based on historical data, prediction models and system requirements.

3. The method according to claim 2, characterized in that: The specific implementation method of step 1 is: L1: static strategy, running according to the pre-set strategy table; L2: Dynamic strategy, the strategy table can be dynamically updated based on load identification; L3: Adaptive strategy, adaptive operation based on regional policy changes and real-time load.

4. The method according to claim 1, characterized in that: In step 3, the two-level reverse power protection is specifically as follows: Level 1: When the reverse power reaches the preset low value, the system executes a fast program to reduce output; Level 2: When the reverse power reaches a high set value and a delay occurs, the system will issue a shutdown command.

5. The method according to claim 1, characterized in that: In step 4, the two-level over-demand protection is specifically as follows: Level 1: When the maximum demand is lower than the set value, the rapid program load reduction is executed; Level 2: When the maximum demand high set value and delay are reached, a shutdown command is issued.

6. The method according to claim 1, characterized in that: After the control strategy is determined by both the investor and the user, the control strategy is adjusted and executed.

7. A data acquisition and control system for an industrial and commercial energy storage power station, characterized in that: Including gateways, photovoltaic power stations, loads, energy storage power stations, GPS and Beidou timing, and control systems; in, Gateway: Collect the real-time power, voltage, current, power, maximum demand and other information of the gateway; Photovoltaic power station: collect the actual and predicted power, voltage, current and electricity, maximum demand and other information of the photovoltaic power station; Load: collects real-time and predicted power, voltage, current, electricity, maximum demand and other information at the gateway; Energy storage power station: collects data such as PCS (Power Conversion System) and BMS (Battery Management System) and implements control; GPS and Beidou time synchronization, high-precision time synchronization system, ensures that the system is accurate to the second; Control system: manage the collected data and formulate strategies.

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