Renewable energy supply system capable of responding to demands

Abstract

The invention discloses a renewable energy source supply system capable of responding to demands. The renewable energy source supply system comprises a renewable energy source collection device, an intelligent control and monitoring system, an energy storage device, a demand response device, a power grid interaction device and a heat energy conversion and utilization device. The renewable energy source collecting equipment comprises a photovoltaic panel, a wind driven generator, a tidal power generator and an air source heat pump; the intelligent control and monitoring system comprises an energy management system, an intelligent inverter and an Internet of Things sensor. The energy storage equipment comprises electrochemical energy storage equipment, mechanical energy storage equipment and thermal energy storage equipment. According to the renewable energy source supply system capable of responding to the requirements, the wind driven generator is installed, the radar monitoring and noise reduction technology is adopted, the tidal power generator is provided with the ecological flow rate and the fishway, and then the operation noise of the wind driven generator is reduced, so that the influence of the wind driven generator on birds is reduced, and the influence on bird flocks is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field related to renewable energy supply, and in particular to a renewable energy supply system capable of responding to demand. Background Art

[0002] Replacing fossil energy with a renewable energy supply system to reduce carbon emissions, combining green hydrogen technology to achieve near-zero emissions, and protecting water resources and the ecological environment. This system builds a resilient energy internet, optimizes energy flow distribution, and helps achieve the global carbon neutrality goal, which is the core support for energy transformation. When the wind power generation equipment in the existing renewable energy supply system that can respond to demand is used, it will use traditional power generation methods such as coal-fired power generation and gas-fired power generation. The power generation of coal-fired power generation and gas-fired power generation will emit pollutants, thus affecting the environmental quality; In order to solve the above-mentioned defects, a multi-energy complementary power system and power distribution method with publication number CN118199166A is disclosed, which predicts the power consumption based on the power demand curve in the target area through the prediction and analysis module, and provides a decision-making basis for the optimization scheduling module. The optimization scheduling module gives priority to renewable energy power supply based on the predicted power consumption, and then uses energy storage devices based on the charging time, and uses traditional energy generation devices to supply the insufficient part. This intelligent scheduling method can achieve the optimal configuration of energy according to the real-time power demand and energy supply, improve energy utilization efficiency, and reduce operating costs. Thereby achieving efficient use of energy and sustainable development. The system not only improves the stability and reliability of energy supply, but also helps to reduce environmental pollution and promote the development of green energy; To solve the above defects, a stable wind farm output system and its working method with publication number CN106786752B is disclosed, which can accurately predict the wind power generation according to the intelligent control model composed of load prediction, renewable energy output power prediction, etc., so as to make reasonable predictions for the wind farm output power and renewable energy supplementary heat, and then form a stable wind power output system that can smooth out wind energy fluctuations based on compressed air energy storage, solar collectors, and gas supplementary combustion devices; In actual use of the above system, although it can achieve the effect of energy conservation and environmental protection, its wind power generation requires the construction of wind farms, and the construction of wind farms may destroy the migration routes of birds and cause bird deaths; photovoltaic arrays may change the surface reflectivity, affect the surrounding microclimate, and then affect vegetation growth, which will cause damage to the environment again.

[0003] So we propose a renewable energy supply system that can respond to demand in order to solve the problems raised above. Summary of the invention

[0004] The object of the present invention is to provide a renewable energy supply system capable of responding to demand, so as to solve the problems proposed in the above background technology. At present, for wind power generation in the market, a wind farm needs to be built, and the construction of the wind farm may damage the migration path of birds, resulting in the death of birds; the photovoltaic array may change the surface reflectivity, affect the surrounding microclimate, and then affect the growth of vegetation, and then cause damage to the environment again.

[0005] To achieve the above object, the present invention provides the following technical solution: A renewable energy supply system capable of responding to demand, comprising a renewable energy collection device, an intelligent control and monitoring system, an energy storage device, a demand response device, a grid interaction device, and a heat energy conversion and utilization device; The renewable energy collection device includes: photovoltaic panels, wind turbines, tidal generators, and air source heat pumps; The intelligent control and monitoring system includes: an energy management system, intelligent inverters, and Internet of Things sensors; The energy storage device includes an electrochemical energy storage device, a mechanical energy storage device, and a thermal energy storage device; The demand response device includes an intelligent electricity meter and an interruptible load device; The grid interaction device includes a static synchronous compensator, a virtual synchronous machine, and a microgrid controller; The heat energy conversion and utilization device includes a waste heat recovery system and a heat pump.

[0006] Preferably, the energy storage device requires communication protocol compatibility and supports devices with open standards.

[0007] Preferably, the energy storage device is equipped with a BMS to prevent overcharging / overdischarging. Large-scale energy storage power stations comply with fire protection regulations, and fire isolation and automatic fire extinguishing devices are set.

[0008] Preferably, the photovoltaic panels and wind turbines need to pass sand and dust, and salt spray tests, and the wind turbine units need to have low voltage ride-through capabilities to prevent damage from gusts or lightning.

[0009] Preferably, the energy storage device adopts a modular design, which can reduce the expansion cost and adapt to future demand growth.

[0010] Preferably, the wind turbine adopts radar monitoring and noise reduction technology, and the tidal generator is provided with ecological flow and fish passages.

[0011] Preferably, the energy management system needs to deploy a firewall and intrusion detection to prevent ransomware attacks, adopt encrypted communication to protect user privacy and transaction data, locally store key operation data, avoid relying on overseas servers, comply with data regulations such as GDPR, and clarify the scope of user authorization.

[0012] Preferably, a smoke sensor and a heptafluoropropane fire extinguishing device are configured in the energy storage device. Flammable materials are prohibited from being stacked near the lithium battery, and ventilation and heat dissipation are maintained. Moreover, the operating temperature of the energy storage device is ≤ 40°C.

[0013] Preferably, the metal enclosures of the renewable energy collection device, the intelligent control and monitoring system, and the energy storage device must be reliably grounded, with the grounding resistance ≤ 4 Ω. Moreover, insulating equipment should be worn during rainy-day operations to avoid contact with the DC side of the inverter.

[0014] Preferably, the surface cleanliness of the photovoltaic panels is checked monthly (dust and fallen leaves covering the panels will reduce the power generation efficiency by 15% - 20%), and the stability of the brackets is verified quarterly.

[0015] Preferably, the data of the battery management system (BMS) in the energy storage device is checked daily, the connection terminals are inspected weekly for looseness, and the internal resistance and balance of the battery are tested quarterly.

[0016] Preferably, it includes the following steps: S1: Start the photovoltaic inverter, wind turbine, and energy storage converter equipment; S2: Check whether the battery SOC, photovoltaic panel temperature, and anemometer data status are normal; S3: The smart meter, sensors, and the energy management system (EMS) establish connections through the Internet of Things protocol (such as MQTT); S4: Verify the data interaction interface with the grid dispatching center or the demand response aggregator; S5: Set the charge and discharge thresholds of the energy storage system, and load the prediction algorithm model and the electricity price strategy; S6: The weather station monitors the light intensity, wind speed, temperature, etc., and the data is transmitted to the EMS. The smart meter records the user load, grid frequency / voltage in real time; S7: Calculate the current renewable energy power generation; S8: Adjust non-essential loads without affecting critical loads, charge the energy storage during the low electricity price period, and discharge during the peak period; S9: The flywheel energy storage or the super capacitor suppresses the instantaneous power fluctuation, the battery energy storage adjusts the charge and discharge power, and in cooperation with the demand response signal, starts and stops the distributed generator or adjusts the power of the hydrogen electrolyzer; S10: Adjust the active / reactive power output according to the grid dispatching instruction; S11: When the renewable energy is in excess or the electricity price is lower than the threshold, the PCS stores the electric energy in the battery. When the load peak or the electricity price is higher than the threshold, the PCS releases the electric energy to the grid or the user side; S12: Recalculate the optimal scheduling plan every 15 minutes, considering the latest prediction data and the equipment status, and adopt the model predictive control algorithm to roll-optimize the operation strategy for the next 4 hours; S13: When a device failure occurs, automatically switch to the standby device and alarm. When a power grid failure occurs, disconnect the grid connection switch and activate the islanding protection strategy; S14: Store the operation logs and generate daily / monthly reports.

[0017] (1) The wind turbine adopts radar monitoring and noise reduction technology, and the tidal generator sets ecological flow and fishways. Subsequently, the noise generated during the operation of the wind turbine is reduced, thereby reducing the impact of the wind turbine on birds and avoiding the impact on bird flocks; (2) The energy management system needs to deploy firewalls and intrusion detection to prevent ransomware attacks. It uses encrypted communication to protect user privacy and transaction data, locally stores key operation data, avoids relying on overseas servers, complies with data regulations such as GDPR, and clarifies the scope of user authorization. Subsequently, the energy management system has better security, thus preventing the data within the energy management system from being stolen; (3) The photovoltaic panels are inspected for surface cleanliness every month (dust and fallen leaves covering will reduce the power generation efficiency by 15%-20%), and the stability of the brackets is verified every quarter. Subsequently, the dust and fallen leaves adsorbed on the photovoltaic panels can be cleaned, thus avoiding the dust and fallen leaves from shielding the photovoltaic panels and preventing the reduction of the power generation efficiency of the photovoltaic panels; (4) The metal enclosures of the renewable energy collection equipment, intelligent control and monitoring system, and energy storage equipment must be reliably grounded, with the grounding resistance ≤ 4Ω. When operating in rainy days, wear insulating equipment and avoid contacting the DC side of the inverter. Subsequently, the renewable energy collection equipment, intelligent control and monitoring system, and energy storage equipment have high safety during operation, thus playing a protective role for the operators; (5) The energy storage equipment adopts a modular design, which can reduce the expansion cost and adapt to future demand growth, enabling the energy storage equipment to be disassembled, installed, and replaced conveniently. Subsequently, the overall cost after replacement is reduced, thus improving the convenience of use. Brief Description of the Drawings

[0018] Figure 1 It is a schematic diagram of the process structure of the present invention; Detailed Embodiments

[0019] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0020] Embodiment 1: The present invention is based on a renewable energy supply system capable of responding to demands, including the following steps, which are disclosed: Renewable energy collection equipment, intelligent control and monitoring system, energy storage equipment, demand response equipment, grid interaction equipment, heat energy conversion and utilization equipment; the renewable energy collection equipment includes: photovoltaic panels, wind turbines, tidal generators and air source heat pumps; the intelligent control and monitoring system includes: energy management system, intelligent inverter and Internet of Things sensors; the energy storage equipment includes electrochemical energy storage equipment, mechanical energy storage equipment and thermal energy storage equipment; the demand response equipment includes intelligent meters and interruptible load equipment; the grid interaction equipment includes static synchronous compensators, virtual synchronous machines and microgrid controllers; the heat energy conversion and utilization equipment includes waste heat recovery systems and heat pumps. The energy storage equipment needs to be compatible with communication protocols and support equipment with open standards. The energy storage equipment is equipped with a BMS to prevent overcharging / overdischarging. Large-scale energy storage power stations comply with fire protection codes and are equipped with fire isolation and automatic fire extinguishing devices. Photovoltaic panels and wind turbines need to pass sand and dust, salt spray tests, and wind turbine units need to have low voltage ride-through capabilities to prevent damage from gusts or lightning. The energy storage equipment adopts a modular design to reduce the cost of expansion and adapt to future demand growth. Wind turbines adopt radar monitoring and noise reduction technologies, and tidal generators are provided with ecological flow and fishways. The energy management system needs to deploy firewalls and intrusion detection to prevent ransomware attacks, use encrypted communication to protect user privacy and transaction data, and locally store key operation data to avoid relying on overseas servers, comply with data regulations such as GDPR, and clarify the scope of user authorization; S1: Start photovoltaic inverters, wind turbines, energy storage converters; S2: Check whether the battery SOC, photovoltaic panel temperature, anemometer data status are normal; S3: The intelligent meter, sensors and energy management system (EMS) establish connections through Internet of Things protocols (such as MQTT); S4: Verify the data interaction interface with the grid dispatching center or demand response aggregator; S5: Set the charge and discharge thresholds of the energy storage system, load prediction algorithm models and electricity price strategies; S6: The weather station monitors light intensity, wind speed, temperature, etc., and the data is transmitted to the EMS. The intelligent meter records the user load, grid frequency / voltage in real time; S7: Calculate the current renewable energy power generation; S8: Adjust non-essential loads without affecting critical loads, charge the energy storage during off-peak electricity prices, and discharge during peak hours; S9: Flywheel energy storage or supercapacitors suppress instantaneous power fluctuations, battery energy storage adjusts charge and discharge power, cooperate with demand response signals, start and stop distributed generators or adjust the power of hydrogen electrolyzers; S10: Adjust the active / reactive output according to the grid dispatching instructions; S11: When there is an excess of renewable energy or the electricity price is lower than the threshold, the PCS stores electrical energy in the battery. When there is a peak load or the electricity price is higher than the threshold, the PCS releases electrical energy to the power grid or the user side. S12: Recalculate the optimal scheduling plan every 15 minutes. Considering the latest prediction data and equipment status, adopt the model predictive control algorithm to roll-optimize the operation strategy for the next 4 hours. S13: When a device fails, automatically switch to the standby device and give an alarm. When there is a power grid failure, disconnect the grid-connected switch and activate the islanding protection strategy. S14: Store the operation logs and generate daily / monthly reports.

[0021] Embodiment 2: The present invention discloses a renewable energy supply system capable of responding to demands, including the following steps: The energy storage device needs to be compatible with communication protocols and support devices with open standards. The energy storage device is equipped with a BMS to prevent overcharging / overdischarging. Large-scale energy storage power stations comply with fire protection regulations, and fire isolation and automatic fire extinguishing devices are set. The photovoltaic panels and wind turbines need to pass the sand and dust, and salt spray tests, and the wind turbine units need to have the low voltage ride-through ability to prevent damage caused by gusts or lightning. The energy storage device adopts a modular design, which can reduce the expansion cost and adapt to future demand growth. The wind turbine adopts radar monitoring and noise reduction technology, and the tidal generator sets the ecological flow and fish passage. Smoke sensors and heptafluoropropane fire extinguishing devices are configured inside the energy storage device. Flammable materials are prohibited from being stacked near the lithium battery, and ventilation and heat dissipation are maintained. And the operating temperature of the energy storage device ≤ 40°C. S1: Start the photovoltaic inverter, wind turbine, and energy storage converter equipment. S2: Check whether the battery SOC, photovoltaic panel temperature, and anemometer data status are normal. S3: The smart meter, sensors, and the energy management system (EMS) establish a connection through the Internet of Things protocol (such as MQTT). S4: Verify the data interaction interface with the grid dispatching center or the demand response aggregator. S5: Set the charge and discharge thresholds of the energy storage system, and load the prediction algorithm model and electricity price strategy. S6: The weather station monitors the light intensity, wind speed, temperature, etc., and the data is transmitted to the EMS. The smart meter records the user load, grid frequency / voltage in real time. S7: Calculate the current renewable energy power generation. S8: Adjust the non-essential loads on the premise of not affecting the critical loads, charge the energy storage during the low electricity price period, and discharge during the peak period. S9: The flywheel energy storage or supercapacitor suppresses the instantaneous power fluctuations, the battery energy storage adjusts the charge and discharge power, and cooperates with the demand response signal to start and stop the distributed generator or adjust the power of the hydrogen electrolyzer.

[0022] Embodiment 3: The present invention is based on a renewable energy supply system capable of responding to demands, which includes the following steps and discloses: Renewable energy collection equipment, intelligent control and monitoring system, energy storage equipment, demand response equipment, grid interaction equipment, heat energy conversion and utilization equipment; the renewable energy collection equipment includes: photovoltaic panels, wind turbines, tidal generators, and air source heat pumps; the intelligent control and monitoring system includes: an energy management system, intelligent inverters, and Internet of Things sensors; the energy storage equipment includes electrochemical energy storage equipment, mechanical energy storage equipment, and thermal energy storage equipment; the demand response equipment includes smart meters and interruptible load equipment; the grid interaction equipment includes static synchronous compensators, virtual synchronous machines, and microgrid controllers; the heat energy conversion and utilization equipment includes waste heat recovery systems and heat pumps. The energy management system needs to deploy firewalls and intrusion detection to prevent ransomware attacks, use encrypted communication to protect user privacy and transaction data, locally store key operation data, avoid relying on overseas servers, comply with data regulations such as GDPR, clarify the scope of user authorization, configure smoke sensors and heptafluoropropane fire extinguishing devices in the energy storage equipment, prohibit stacking flammable materials near lithium batteries, maintain ventilation and heat dissipation, and the operating temperature of the energy storage equipment ≤ 40°C. The metal enclosures in the renewable energy collection equipment, intelligent control and monitoring system, and energy storage equipment must be reliably grounded, with the grounding resistance ≤ 4Ω, and wear insulating equipment during rainy operations to avoid contact with the DC side of the inverter. Check the surface cleanliness of the photovoltaic panels monthly (dust and fallen leaves covering will reduce the power generation efficiency by 15% - 20%), verify the stability of the brackets quarterly, check the data of the battery management system (BMS) of the energy storage equipment daily, check whether the wiring terminals are loose weekly, and test the battery internal resistance and balance quarterly; S1: Start photovoltaic inverters, wind turbines, and energy storage converters; S2: Check whether the battery SOC, photovoltaic panel temperature, and anemometer data status are normal; S3: The smart meter, sensors, and energy management system (EMS) establish connections through Internet of Things protocols (such as MQTT); S4: Verify the data interaction interface with the grid dispatching center or demand response aggregator; S5: Set the charge and discharge thresholds of the energy storage system, and load prediction algorithm models and electricity price strategies; S6: The weather station monitors light intensity, wind speed, temperature, etc., and the data is transmitted to the EMS. The smart meter records the user load, grid frequency / voltage in real time; S7: Calculate the current renewable energy power generation; S8: Adjust non-essential loads without affecting critical loads, charge the energy storage during low electricity price periods, and discharge during peak periods.

[0023] Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A renewable energy supply system that can respond to demand, including renewable energy collection equipment, intelligent control and monitoring system, energy storage equipment, demand response equipment, grid interaction equipment, and thermal energy conversion and utilization equipment; It is characterized in that The renewable energy collection equipment includes: photovoltaic panels, wind turbines, tidal generators and air source heat pumps; The intelligent control and monitoring system includes: an energy management system, an intelligent inverter and an Internet of Things sensor; The energy storage device includes an electrochemical energy storage device, a mechanical energy storage device and a thermal energy storage device; The demand response equipment includes a smart meter and an interruptible load device; The grid interactive equipment includes a static synchronous compensator, a virtual synchronous machine and a microgrid controller; The heat energy conversion and utilization equipment includes a waste heat recovery system and a heat pump.

2. A renewable energy supply system capable of responding to demand according to claim 1, characterized in that: The energy storage device needs to be compatible with the communication protocol and support open standard devices.

3. A renewable energy supply system capable of responding to demand according to claim 1, characterized in that: The energy storage equipment is equipped with a BMS to prevent overcharging / over-discharging. The large-scale energy storage power station complies with fire protection regulations and is equipped with fire isolation and automatic fire extinguishing devices.

4. A renewable energy supply system capable of responding to demand according to claim 1, characterized in that: The photovoltaic panels and wind turbines must pass dust and salt spray tests, and the wind turbines must have low voltage ride-through capabilities to prevent damage from gusts or lightning.

5. A renewable energy supply system capable of responding to demand according to claim 1, characterized in that: The energy storage device adopts a modular design to reduce expansion costs and adapt to future demand growth.

6. A renewable energy supply system capable of responding to demand according to claim 1, characterized in that: The wind turbine uses radar monitoring and noise reduction technology, and the tidal turbine is equipped with ecological flow and fishway.

7. A renewable energy supply system capable of responding to demand according to claim 1, characterized in that: The energy management system needs to deploy firewalls and intrusion detection to prevent ransomware attacks, use encrypted communications to protect user privacy and transaction data, store key operating data locally, avoid relying on overseas servers, comply with data regulations such as GDPR, and clarify the scope of user authorization.

8. The renewable energy supply system capable of responding to demand according to claim 1, characterized in that: The energy storage device is equipped with a smoke sensor and a HFC-227ea fire extinguishing device. Inflammable materials are prohibited from being stacked near the lithium battery. Ventilation and heat dissipation are maintained, and the operating temperature of the energy storage device is ≤40°C. The metal casing of the renewable energy collection equipment, intelligent control and monitoring system and energy storage equipment must be reliably grounded with a grounding resistance of ≤4Ω. Insulating equipment must be worn during rainy day operations to avoid contact with the DC side of the inverter. The photovoltaic panels must be checked for surface cleanliness every month (dust and fallen leaves will reduce power generation efficiency by 15%-20%), and the stability of the bracket must be verified every quarter.

9. A renewable energy supply system capable of responding to demand according to claim 1, characterized in that: The energy storage equipment checks the battery management system (BMS) data daily, checks whether the wiring terminals are loose every week, and tests the battery internal resistance and balance every quarter.

10. The renewable energy supply system capable of responding to demand according to claim 1, characterized in that: The following steps are involved: S1: Start the photovoltaic inverter, wind turbine generator, and energy storage converter equipment; S2: Check whether the battery SOC, photovoltaic panel temperature, and anemometer data are normal; S3: Smart meters, sensors and energy management systems (EMS) are connected via IoT protocols such as MQTT; S4: Verify the data interaction interface with the grid dispatch center or demand response aggregator; S5: Set the charge and discharge thresholds of the energy storage system, load the prediction algorithm model and electricity price strategy; S6: The weather station monitors light intensity, wind speed, temperature, etc. The data is transmitted to the EMS, and the smart meter records the user load and grid frequency / voltage in real time; S7: Calculate the current renewable energy power generation; S8: Adjust non-essential loads without affecting critical loads, charge energy storage during low electricity price periods, and discharge during peak hours; S9: Flywheel energy storage or supercapacitors smooth instantaneous power fluctuations, battery energy storage adjusts charging and discharging power, and cooperates with demand response signals to start and stop distributed generators or adjust the power of hydrogen electrolyzers; S10: Adjust active / reactive output according to grid dispatching instructions; S11: When there is excess renewable energy or the electricity price is below the threshold, PCS stores the electricity in the battery. When the load is peak or the electricity price is above the threshold, PCS releases the electricity to the grid or the user side. S12: Recalculate the optimal scheduling plan every 15 minutes, consider the latest forecast data and equipment status, use the model predictive control algorithm, and continuously optimize the operation strategy for the next 4 hours; S13: When the equipment fails, it automatically switches to the backup equipment and alarms. When the power grid fails, it disconnects the grid-connected switch and starts the island protection strategy. S14: Store operation logs and generate daily / monthly reports.

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