High-reliability green park energy operation optimization system

Abstract

The invention discloses a high-reliability green park energy operation optimization system, and the system comprises an energy data collection, analysis and storage module which is used for comprehensively collecting and analyzing the states of an energy demand module, an energy supply module and an energy storage equipment module in a park, and the data of a demand side response module; the energy balance analysis module is used for analyzing the energy balance condition of the park and determining a balance gap and margin in an existing operation mode; the energy system optimization analysis module is used for analyzing whether the park has an external power supply gap or not; and the energy management control unit is used for sending a scheduling instruction to the energy supply module, the energy storage equipment module and the demand side response module in the park, and adjusting the operation state of each module. According to the technical scheme, the park energy utilization efficiency can be improved, the operation cost is reduced, and green and sustainable energy management is achieved.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy management, and in particular relates to a high-reliability green park energy operation optimization system. Background Art

[0002] With the growth of global energy demand and the enhancement of environmental awareness, industrial parks have put forward higher requirements for efficient use of energy and green management. Traditional park energy management systems often lack effective integration of renewable energy, energy storage equipment and demand-side response resources, and it is difficult to respond to the dynamic changes in energy supply and demand in a timely manner, resulting in energy waste and increased operating costs. At the same time, with the development of new energy technologies, how to effectively combine renewable energy with traditional energy to achieve optimal configuration and high-reliability supply of park energy has become an urgent problem to be solved. In view of this, this application is hereby filed. Summary of the invention

[0003] In order to address the deficiencies in the prior art, the present invention provides a high-reliability green park energy operation optimization system, which realizes efficient balance and optimized operation of park energy by integrating energy demand modules, energy supply modules, energy storage modules and demand-side response resources.

[0004] The present invention is specifically a high-reliability green park energy operation optimization system, comprising: an energy data acquisition, analysis and storage module, which is used to comprehensively collect and analyze data from energy demand modules, energy supply modules, energy storage equipment module status, and demand-side response modules in the park; an energy balance analysis module, which is used to analyze the energy balance situation in the park and determine the balance gap and margin under the existing operation mode; an energy system optimization analysis module, which is used to analyze whether the park has an external power supply gap. When there is no external power supply gap, minimizing the park's power supply cost is the optimization goal; when there is an external power supply gap, the park's power supply reliability is the optimization goal; an energy management control unit, which is used to send scheduling instructions to the energy supply module, energy storage equipment module, and demand-side response module in the park to adjust the operation status of each module.

[0005] Preferably, the energy supply module includes a distributed photovoltaic system, a cold, heat and electricity trigeneration power supply system and purchased electricity; the energy storage device module includes an electric cold / heat storage system and an electrochemical energy storage system.

[0006] Preferably, the energy data acquisition, analysis and storage module includes: a multi-type sensor array, which is equipped with power sensors, temperature sensors, humidity sensors, light sensors, and gas sensors, which are used to collect data on power consumption, equipment operating temperature, ambient humidity, light intensity, and air quality, respectively; a data acquisition unit, which can receive and process data from the aforementioned sensors in real time; a communication interface, which supports a variety of wired and wireless communication methods.

[0007] Preferably, the energy data collection, analysis and storage module integrates an intelligent algorithm for preprocessing, anomaly detection and alarming of the collected data.

[0008] Preferably, the energy data acquisition and analysis storage module includes: a data storage and backup unit, which has a built-in redundant backup mechanism to ensure that the stored data will not be lost in the event of a network interruption or system failure, thereby ensuring the integrity and reliability of the data.

[0009] Preferably, the energy balance analysis module includes a demand analysis module and a supply analysis module; wherein the demand analysis module is used to analyze the production and operation load, air-conditioning cooling load, air-conditioning heating load, charging load, and industrial heat demand of the park; wherein the supply analysis module is used to analyze the distributed photovoltaic power generation system, the trigeneration power supply system, and the data of the required purchased electricity in the park, and the amount of purchased electricity required is the amount of energy demand in the park minus the amount of power generated by the distributed photovoltaic power generation system, the amount of power generated by the trigeneration system, and the amount of power stored in the energy storage device module.

[0010] Preferably, when the energy system optimization and analysis module analyzes that there is an external power supply gap, the working mode is adjusted according to whether the purchased electricity is limited; when the purchased electricity is not limited, the energy system optimization and analysis module optimizes the operation mode according to the electricity price and the energy supply and demand of the park, and the mode includes at least one of the following: the electric cold / heat storage system is allowed to store cold / heat when the electricity price is low or the renewable energy is surplus, and the cold / heat is released preferentially in other periods to reduce the cooling / heating load, and the cold, heat and power trigeneration system is allowed to store cold / heat when the electricity price is low or the renewable energy is surplus, and the cold / heat is released preferentially in other periods to reduce Reduce cooling / heating load; when external electricity purchase is limited, the working mode of the energy system optimization analysis module includes at least one of the following: making the electric cooling / heat storage system release cold / heat first during the period of external power supply gap, making the cooling, heating and power trigeneration system start and run directly during the period of external power supply gap without being restricted by cooling / heating demand, making the energy storage device module discharge first during the power gap period, making the charging time of the charging equipment avoid the power gap period, making the working time of different energy demand modules separate, and making the electric vehicles in the park feed back electric energy to the park's power grid to supplement the power supply gap.

[0011] Preferably, the energy management control unit includes: a central control module, which is responsible for integrating and processing various types of data from the energy data acquisition, analysis and storage module to monitor and manage the energy system; a scheduling instruction generation module, which generates scheduling instructions for the energy supply module, energy storage device module, and demand-side response module based on real-time data and preset optimization strategies; a communication and interface module, which is responsible for two-way communication with the energy supply module, energy storage device module, and demand-side response module in the park, transmitting scheduling instructions and receiving execution feedback; an operation status monitoring module, which monitors the operation status of the energy supply module, energy storage module, and demand-side response module in real time, detects abnormal situations and responds in time, and integrates fault diagnosis and early warning functions, can timely discover potential problems through data analysis and pattern recognition, and automatically adjust the scheduling strategy to deal with emergencies; a user interface and visualization module, which provides a user interface for park managers, displays the system's operation status, scheduling instruction execution, and optimization results, and supports manual intervention and strategy adjustment.

[0012] Preferably, the communication and interface module supports Modbus, BACnet or MQTT communication protocols and interface standards.

[0013] Preferably, the user interface and visualization module support access from PC and mobile terminals.

[0014] Compared with the prior art, the beneficial effects are:

[0015] It can improve the energy utilization efficiency of the park, reduce operating costs, and achieve green and sustainable energy management. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of the operation of a high-reliability green park energy operation optimization system of the present invention;

[0017] Figure 2 It is a logic flow chart of the operation of the energy system in an embodiment of the present invention. DETAILED DESCRIPTION

[0018] The specific implementation method of a high-reliability green park energy operation optimization system of the present invention is described in detail below with reference to the accompanying drawings.

[0019] Combination Figure 1 and Figure 2 The high-reliability green park energy operation optimization system of this application can achieve the optimal configuration and high-reliability supply of park energy. Specifically, the system of this application includes an energy data acquisition, analysis and storage module, an energy balance analysis module, an energy system optimization analysis module, and an energy management control unit.

[0020] Energy data collection, analysis and storage module

[0021] The energy data collection, analysis and storage module can ensure the accuracy, completeness and timeliness of the collected data, and provide solid data support for subsequent energy management and optimization. The data that can be collected by the energy data collection, analysis and storage module include but are not limited to energy demand data, energy supply data, energy storage equipment status data, and demand-side response resource data.

[0022] Energy demand data may include: production operation load (such as public works, warehousing and logistics, new energy manufacturing, intelligent manufacturing, information technology, foreign investment and foreign trade, office buildings and data centers), air conditioning cooling / heating load (involving new energy enterprises, medical and health enterprises, intelligent manufacturing enterprises, information technology enterprises, foreign investment and foreign trade enterprises, office buildings and data centers’ cooling / heating needs), charging load (consisting of charging needs of smart street light charging piles, parking lot charging piles, electric logistics vehicles and electric forklifts) and industrial heat demand (the corresponding heat consumption is calculated based on the enterprise’s electricity consumption).

[0023] Energy supply data may include: environmental parameters such as lighting conditions and temperature of distributed photovoltaic power generation systems and power generation data, operating data and cooling and heating ratios of trigeneration systems, and electricity consumption data of purchased electricity.

[0024] The energy storage device status data may include: temperature, pressure and cold / heat storage status of the electric cold / heat storage system, and energy storage status data such as charge and voltage of the electrochemical energy storage system.

[0025] Demand-side response resource data may include: charging status, time, power, etc. of electric vehicles, as well as user behavior data such as electricity users' electricity usage habits and load characteristics.

[0026] In this embodiment, the energy data acquisition, analysis and storage module can comprehensively collect and analyze the data of the energy demand module, energy supply module, energy storage device module status, and demand-side response module in the park, and includes: a multi-type sensor array, a data acquisition unit, and a communication interface. In this embodiment, the multi-type sensor array can be equipped with power sensors, temperature sensors, humidity sensors, light sensors, and gas sensors, which are used to collect data on power consumption, equipment operating temperature, ambient humidity, light intensity, and air quality, respectively. The data acquisition unit can receive and process data from the aforementioned sensors in real time. The communication interface supports a variety of wired and wireless communication methods, such as Ethernet, RS485, and wireless communication methods such as Wi-Fi, LoRa, Zigbee, etc., to ensure that data can be stably and efficiently transmitted to the central control system or cloud platform, and has good scalability and compatibility. The energy data acquisition, analysis and storage module can integrate intelligent algorithms to pre-process, detect anomalies and alarm the collected data to improve the system's response speed and autonomous decision-making ability, and further improve the reliability of the overall operation. The energy data acquisition and analysis storage module may include a data storage and backup unit, which has a built-in redundant backup mechanism to ensure that the stored data will not be lost in the event of a network interruption or system failure, thereby ensuring the integrity and reliability of the data.

[0027] The energy demand module includes five categories: production operation load, air conditioning cooling load, air conditioning heating load, charging load, and industrial heat demand.

[0028] Production and operation load: covers the operation load of public works, warehousing and logistics, new energy manufacturing, intelligent manufacturing, information technology, foreign investment and foreign trade, office buildings and data centers. Various load curves are generated based on the daily load data of representative enterprises and the load changes throughout the year.

[0029] Air conditioning and cooling load: including the cooling demand of new energy enterprises, medical and health enterprises, intelligent manufacturing enterprises, information technology enterprises, foreign-funded and foreign trade enterprises, office buildings and data centers. Except for data centers, the remaining loads are calculated based on the cooling demand and building area of ​​typical regions; the cooling demand of data centers is calculated based on the power consumption.

[0030] Air conditioning heating load: The calculation method is similar to the cooling demand. Except for the data center, the heating demand is calculated for all other buildings and production spaces.

[0031] Charging load: It is composed of the charging demand of smart street lamp charging piles, parking lot charging piles, electric logistics vehicles and electric forklifts. The charging load curve refers to the load curve of a typical industrial park and is adjusted in combination with the park area and electric vehicle penetration rate.

[0032] Industrial heat demand: Refer to the industry heat and electricity consumption ratio in the "China Energy Statistical Yearbook", calculate the corresponding heat consumption based on the enterprise's electricity consumption, and then generate various heat load curves based on typical heat load curves.

[0033] The energy supply module is mainly composed of the following parts: distributed photovoltaic power generation system, cooling, heating and power trigeneration power supply system and purchased electricity.

[0034] Distributed photovoltaic power generation: Deploy distributed photovoltaic systems in public areas of park roads, smart street lights, storage and logistics areas, low-carbon industrial parks and roofs of various buildings. Photovoltaic installed power density is 140W / m 2 The power generation curve is calculated by referring to the local annual sunshine radiation data to calculate the annual output curve.

[0035] Combined cooling, heating and power system: Refer to the power generation, heating and cooling power of typical unit parameters (such as Jenbacher J312), and calculate the power generation and corresponding cooling and heating ratio under different operating conditions.

[0036] Purchased electricity: After deducting the electricity provided by distributed photovoltaic power generation, trigeneration system power generation and energy storage system from the park's electricity load, the remaining part is met by purchased electricity.

[0037] The energy storage equipment module includes an electric cold storage system, an electric heat storage system, and an electrochemical energy storage system. Electric cold storage system: Using cold water cold storage, the unit's standard cooling COP is 5.6, and the cold storage COP is 5.0. Considering cold loss and efficiency factors, the overall efficiency of charging and discharging is about 84%. Electric heat storage system: Using a water tank heat storage method, the overall efficiency is about 95%. Electrochemical energy storage system: Refer to the charging and discharging efficiency of lithium-ion batteries, which is about 92%.

[0038] The demand-side response module includes electric vehicles, etc. When there is a power supply gap in the park and the power generation resources and energy storage resources cannot meet the demand, the demand-side response resources are dispatched, including S501-S503. S501, orderly charging of electric vehicles: by adjusting the charging time of electric vehicles, load peak shaving and valley filling are achieved to reduce the pressure on power supply. S502: Demand-side response of power users: non-high reliability loads can participate in demand-side response in a certain proportion, and reduce electricity demand by adjusting production plans, etc. S503: Electric vehicle V2G: when necessary, some electric vehicles can feed back electricity to the power grid through V2G technology to ensure power supply needs.

[0039] Energy balance analysis module

[0040] The energy balance analysis module is used to analyze the energy balance of the park and determine the balance gap and margin under the existing operating mode. The energy balance analysis module includes a demand analysis module and a supply analysis module. The demand analysis module is used to analyze the production and operation load, air conditioning cooling load, air conditioning heating load, charging load, and industrial heat demand of the park (i.e., analyze the relevant data of the energy demand module). The supply analysis module is used to analyze the distributed photovoltaic power generation system, the cold, heat and electricity trigeneration power supply system, and the data of the required purchased electricity in the park. The amount of purchased electricity required is the amount of energy demand in the park minus the amount of electricity generated by the distributed photovoltaic power generation system, the amount of electricity generated by the cold, heat and electricity trigeneration power supply system, and the amount of electricity stored in the energy storage device module.

[0041] Energy system optimization analysis module

[0042] like Figure 2 As shown, the energy system optimization and analysis module is used to analyze whether the park has an external power supply gap. When there is no external power supply gap, the optimization goal is to minimize the power supply cost of the park; when there is an external power supply gap, the optimization goal is to optimize the reliability of the power supply of the park. When the energy system optimization and analysis module analyzes the existence of an external power supply gap, the working mode is adjusted according to whether the purchased electricity is limited; when the purchased electricity is not limited, the energy system optimization and analysis module optimizes the operation mode according to the electricity price and the energy supply and demand of the park. The mode includes at least one of the following: the electric cold / heat storage system stores cold / heat when the electricity price is low or renewable energy is surplus, and releases cold / heat first in other periods to reduce the cooling / heating load, and the cold, heat and electricity trigeneration system stores cold / heat when the electricity price is low or renewable energy is surplus, and releases cold / heat first in other periods to reduce the cooling / heating load. When external electricity purchase is limited, the working mode of the energy system optimization and analysis module includes at least one of the following: making the electric cold / heat storage system release cold / heat preferentially during the period when there is an external power supply gap, making the trigeneration system start and operate directly during the period when there is an external power supply gap without being restricted by cooling / heating demand, making the energy storage device module discharge preferentially during the power gap period, making the charging time of the charging equipment avoid the power gap period, separating the working time of different energy demand modules, and making electric vehicles in the park feed back electric energy to the park's power grid to supplement the power supply gap.

[0043] Energy management control unit

[0044] The energy management control unit is used to send dispatch instructions to the energy supply module, energy storage device module, and demand-side response module in the park to adjust the operating status of each module. The energy management control unit may include a central control module, a dispatch instruction generation module, a communication and interface module, and a user interface and visualization module. The central control module is responsible for integrating and processing various types of data from the energy data acquisition, analysis and storage module to monitor and manage the energy system. The dispatch instruction generation module generates dispatch instructions for the energy supply module, energy storage device module, and demand-side response module based on real-time data and preset optimization strategies. The communication and interface module is responsible for bidirectional communication with the energy supply module, energy storage device module, and demand-side response module in the park, transmitting dispatch instructions and receiving execution feedback. The communication and interface module can support multiple communication protocols and interface standards such as Modbus, BACnet or MQTT. The operation status monitoring module monitors the operation status of the energy supply module, energy storage module, and demand-side response module in real time, detects abnormal situations and responds promptly, and integrates fault diagnosis and early warning functions, which can timely discover potential problems through data analysis and pattern recognition, and automatically adjust the scheduling strategy to deal with emergencies. The user interface and visualization module provides a user interface for park managers to display the system's operating status, the execution of scheduling instructions, and optimization results, and supports manual intervention and strategy adjustment. The user interface and visualization module supports PC and mobile access.

[0045] The system of the present application can analyze whether there is an external power supply gap in the park, and is in different working states when there is no external power supply gap and when there is an external power supply gap.

[0046] Combination Figure 2 In a specific application, in a scenario with no power gap, when external power purchase is not restricted, the system optimizes the operation mode according to the electricity price and the energy supply and demand of the park. Electric cooling / heat storage system: Store cold / heat when the electricity price is low or renewable energy is surplus, and release cold / heat first in other periods to reduce the cooling / heating load. Combined cooling, heating and power system: Start when there is a cooling / heating demand and there is no surplus renewable energy, giving priority to meeting the energy needs of the park. Energy storage system: Optimize the charging and discharging of the daily cycle with the goal of maximizing energy storage benefits and reducing peak loads.

[0047] In a power shortage scenario, when external power purchase is limited, the system prioritizes energy supply and demand balance. Electric cooling / heat storage system: prioritizes releasing cold / heat during power shortage periods. Trigeneration system: starts and operates directly during power shortage periods, without being restricted by cooling / heating demand. Energy storage system: prioritizes discharging during power shortage periods to reduce power supply pressure. Orderly charging: adjusts the charging time of charging equipment such as electric vehicles to avoid power shortage periods. Demand-side response: reduces power load during power shortage periods through measures such as staggered CVCV peak production (i.e., separate working hours of energy demand modules). Electric vehicle V2G: when other measures cannot meet demand, electric vehicles feed back electricity through V2G to supplement the power supply gap. Through the above strategies, the system achieves optimized scheduling of park energy and high-reliability energy supply.

[0048] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention and are not intended to limit the present invention. A person skilled in the art should understand that the specific implementation of the present invention can be modified or replaced by equivalents, but these modifications or changes are within the scope of protection of the pending claims.

Claims

1. A high-reliability green park energy operation optimization system, characterized in that: Include: Energy data collection, analysis and storage module, used to comprehensively collect and analyze data from the energy demand module, energy supply module, energy storage equipment module status, and demand-side response module within the park; Energy balance analysis module, used to analyze the energy balance of the park and determine the balance gap and margin under the current operation mode; Energy system optimization analysis module is used to analyze whether the park has an external power supply gap. When there is no external power supply gap, the optimization goal is to minimize the park's power supply cost; when there is an external power supply gap, the optimization goal is to optimize the park's power supply reliability; The energy management control unit is used to send scheduling instructions to the energy supply module, the energy storage device module, and the demand-side response module in the park to adjust the operating status of each module.

2. A high-reliability green park energy operation optimization system according to claim 1, characterized in that: The energy supply module includes a distributed photovoltaic system, a cold, heat and electricity trigeneration power supply system and purchased electricity; the energy storage equipment module includes an electric cold / heat storage system and an electrochemical energy storage system.

3. A high-reliability green park energy operation optimization system according to claim 1, characterized in that: The energy data acquisition, analysis and storage module includes: A multi-type sensor array, which is equipped with power sensors, temperature sensors, humidity sensors, light sensors, and gas sensors to collect data on power consumption, equipment operating temperature, ambient humidity, light intensity, and air quality; A data acquisition unit capable of receiving and processing data from the above sensors in real time; Communication interface that supports multiple wired and wireless communication methods.

4. A high-reliability green park energy operation optimization system according to claim 1, characterized in that: The energy data acquisition, analysis and storage module integrates an intelligent algorithm for preprocessing, anomaly detection and alarming of the collected data.

5. A high-reliability green park energy operation optimization system according to claim 1, characterized in that: The energy data acquisition and analysis storage module includes: a data storage and backup unit, which has a built-in redundant backup mechanism to ensure that the stored data will not be lost in the event of a network interruption or system failure, thereby ensuring the integrity and reliability of the data.

6. A high-reliability green park energy operation optimization system according to claim 1, characterized in that: The energy balance analysis module includes a demand analysis module and a supply analysis module; The demand analysis module is used to analyze the production and operation load, air conditioning cooling load, air conditioning heating load, charging load, and industrial heat demand of the park; Among them, the supply analysis module is used to analyze the data of the park's distributed photovoltaic power generation system, the trigeneration system, and the required external electricity. The amount of external electricity required is the amount of energy demand in the park minus the amount of electricity generated by the distributed photovoltaic power generation system, the amount of electricity generated by the trigeneration system, and the amount of electricity stored in the energy storage device module.

7. A high-reliability green park energy operation optimization system according to claim 2, characterized in that: The energy system optimization analysis module analyzes whether there is a gap in external power supply and adjusts the working mode according to whether the purchased power is limited; When the purchase of electricity is not restricted, the energy system optimization analysis module optimizes the operation mode according to the electricity price and the energy supply and demand of the park, and the mode includes at least one of the following: the electric cold / heat storage system stores cold / heat when the electricity price is low or the renewable energy is surplus, and releases cold / heat first in other periods to reduce the cooling / heating load, and the cold, heat and power trigeneration system stores cold / heat when the electricity price is low or the renewable energy is surplus, and releases cold / heat first in other periods to reduce the cooling / heating load; When external electricity purchase is limited, the working mode of the energy system optimization and analysis module includes at least one of the following: enabling the electric cold / heat storage system to release cold / heat preferentially during the period when there is an external power supply gap, enabling the trigeneration system to start and operate directly during the period when there is an external power supply gap without being restricted by cooling / heating demand, enabling the energy storage device module to discharge preferentially during the power gap period, allowing the charging time of the charging equipment to avoid the power gap period, separating the working times of different energy demand modules, and enabling electric vehicles in the park to feed back electric energy to the park's power grid to supplement the power supply gap.

8. A high-reliability green park energy operation optimization system according to claim 1, characterized in that: The energy management control unit comprises: A central control module, which is responsible for integrating and processing various types of data from the energy data acquisition, analysis and storage module to monitor and manage the energy system; A dispatch instruction generation module, which generates dispatch instructions for the energy supply module, the energy storage device module, and the demand-side response module based on real-time data and a preset optimization strategy; A communication and interface module, which is responsible for bidirectional communication with the energy supply module, the energy storage device module, and the demand-side response module in the park, transmitting scheduling instructions and receiving execution feedback; An operation status monitoring module monitors the operation status of the energy supply module, the energy storage device module, and the demand-side response module in real time, detects abnormal situations and responds promptly, and integrates fault diagnosis and early warning functions, can promptly discover potential problems through data analysis and pattern recognition, and automatically adjust the scheduling strategy to deal with emergencies; The user interface and visualization module provides a user interface for park managers to display the system's operating status, scheduling instruction execution, and optimization results, and supports manual intervention and policy adjustment.

9. A high-reliability green park energy operation optimization system according to claim 8, characterized in that: The communication and interface module supports Modbus, BACnet or MQTT communication protocols and interface standards.

10. A high-reliability green park energy operation optimization system according to claim 8, characterized in that: The user interface and visualization module support PC and mobile terminal access.

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