Bus station energy management system combining photovoltaic power generation and breeze power generation

Abstract

The invention relates to the field of energy management, and discloses a photovoltaic and breeze power generation combined bus station energy management system, which comprises an energy collection module, and the energy collection module collects light energy and wind energy so as to supply power to bus station equipment and realize an effect of green power generation. The energy acquisition module is connected with an energy conversion and storage module, the energy conversion and storage module converts light energy or wind energy acquired by the energy acquisition module into electric energy and stores the electric energy, and the energy acquisition module is connected with a central control module. By means of the central control module, the energy algorithm module and the energy collection scheme selection module, the advantages of photovoltaic power generation and breeze power generation are balanced and the power is pre-estimated by depending on a related accurate calculation formula, and then a plurality of sets of collection schemes are combined, so that weather changes are flexibly dealt with, common defects of light energy and wind power generation are overcome, and the power generation efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy management, and in particular to a bus station energy management system combining photovoltaic and micro-wind power generation. Background Art

[0002] The traditional energy supply method of bus stations has long relied on access to the mains electricity, which mostly comes from thermal power generation based on fossil fuels such as coal and oil, thereby providing energy supply for bus stations, enabling bus stations to provide lighting or station vehicle information for travelers.

[0003] This energy acquisition model has many drawbacks, the first of which is the serious consumption of non-renewable resources. With the increasing number of urban bus stops and the continuous enrichment of power facilities at each stop, lighting fixtures are on for a long time, electronic bus stops are running uninterruptedly, and seat heating functions are turned on regularly in some areas. The demand for electricity is growing like a snowball, and the use of light and wind power to generate electricity has become an effective solution to the energy consumption problem.

[0004] There are certain drawbacks in the common process of solar and wind power generation. For example, it is impossible to judge under what circumstances and adjust the power generation plan in time. For example, when it is raining or snowing, solar power generation will have low efficiency, affecting the effect and efficiency of power generation. For example, when there is no wind, power generation through wind power will be even worse than the loss. At present, most application scenarios simply stack the two devices without establishing an intelligent linkage mechanism. It is unclear when to rely on photovoltaics, when to rely on wind power, and when to take both approaches. It is impossible to dynamically and flexibly adjust the power generation strategy according to complex and changeable environmental factors such as light, wind speed, temperature, and the real-time power load of the bus station, resulting in energy utilization efficiency always hovering at a low level, hindering its in-depth promotion and long-term development in the field of energy supply for bus stations. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides a bus station energy management system that combines photovoltaic and micro-wind power generation, which solves the drawbacks of common solar and wind power generation when used for bus station energy supply, such as low power generation efficiency affected by weather, lack of intelligent linkage mechanism, difficulty in dynamically adjusting power generation strategies according to complex environmental factors and real-time power load, resulting in low energy utilization efficiency and hindering its in-depth promotion and long-term development.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: a bus station energy management system combining photovoltaic and breeze power generation, including an energy collection module, which collects light energy and wind energy to power bus station equipment and achieve the effect of green power generation. The energy collection module is connected to an energy conversion and storage module, which converts the light energy or wind energy collected by the energy collection module into electrical energy and stores the electrical energy. The energy collection module is connected to a central control module, which serves as the core of the system and allocates and selects energy collection methods and energy supply equipment. The control module is connected to a monitoring module, which collects and records various external parameters. The central control module is connected to an energy algorithm module, which substitutes external wind force values ​​and light energy values, and uses formulas for comparative calculations. The energy algorithm module is connected to an energy collection scheme selection module based on the external environment. A variety of different schemes are set in the energy collection scheme selection module. The central control module is connected to a distribution module, which reasonably distributes and uses the energy stored in the system. The distribution module is connected to a functional module, which provides different functions and effects for the bus stop.

[0007] Preferably, the energy collection module includes a photovoltaic power generation module, which collects light energy and transmits the collected light energy to the energy conversion and storage module for conversion into electrical energy. The energy collection module is connected to a microbreeze power generation module, which collects wind energy and transmits the collected wind energy to the energy conversion and storage module for conversion into electrical energy.

[0008] Preferably, the monitoring module includes a wind monitoring module, which uses a wind sensor to collect and calculate external wind values; the wind monitoring module is connected to a light energy monitoring module, which uses a light energy sensor to collect and calculate external light energy values; the light energy monitoring module is connected to a temperature monitoring module, which uses a temperature sensor to collect and calculate external temperature values; the temperature monitoring module is connected to an infrared sensor module, which is installed at the entrance and waiting area of ​​the bus stop, and counts the number of people entering and leaving the bus stop by detecting infrared rays emitted by the human body; the infrared sensor module is connected to a system time module, which determines time information.

[0009] Preferably, the specific calculation formula in the energy algorithm module is:

[0010] 1. Energy priority selection formula:

[0011] S=kpv ×P pv +k wg ×P wg

[0012] Where: P pv is the photovoltaic power generation power at the current moment, P wg is the breeze power at the current moment, and introduces the weight coefficient k pv (tends to 1 when the light is good and tends to 0 when the light is bad) and k wg (When the wind speed is high, it tends to 1, and when the wind speed is high, it tends to 0). By calculating, the power generation method with high score is prioritized. When S pv >S wg The emphasis is on photovoltaic power generation, whereas the emphasis is on wind power generation;

[0013] 2. Power generation estimation formula:

[0014] P pv =a×I now +(1-a)×I hist

[0015] Among them: The photovoltaic power generation power is estimated based on the historical light intensity data of the same period I hist And the present light I now , set the proportionality coefficient a (obtained by linear regression fitting historical data) to estimate the photovoltaic power generation;

[0016] P wg =b×V now +(1-b)×V hist

[0017] Among them: The power of breeze power generation is estimated based on the historical wind speed V hist and current wind speed V now , set the coefficient b, and estimate the breeze power generation power.

[0018] Preferably, the specific schemes in the energy collection scheme selection module are: strong light and strong wind scheme, strong light and weak wind scheme, weak light and strong wind scheme, and weak light and weak wind scheme.

[0019] Preferably, the energy collection scheme selection module is connected to the photovoltaic power generation module and the micro-wind power generation module, so as to control the start and shut down of the photovoltaic power generation module and the micro-wind power generation module according to the scheme content.

[0020] Preferably, the distribution module is connected to the energy conversion and storage module to control the energy supply of the energy conversion and storage module.

[0021] Preferably, the functional module includes a seat heating module, which provides a heating effect for the seats at the bus stop. A seat ventilation module is connected to the seat heating module, which provides a ventilation and heat dissipation effect for the seats at the bus stop. A lighting module is connected to the seat ventilation module, which provides a lighting effect for the bus stop.

[0022] Preferably, a pedestrian flow and time period algorithm module is connected to the distribution module. A separate calculation formula is set in the pedestrian flow and time period algorithm module. Substitute the numerical values of pedestrian flow and time information into the formula. The specific calculation formula is:

[0023] (When N≥N0)

[0024] (When N<N0)

[0025] Suppose a day is divided into multiple time periods, and the current time period is the t-th time period ( 1≤t≤n ) , and the preset basic weight for this time period is W t Set according to experience and the conventional requirements of each time period (including high weights for the morning and evening rush hours due to light and pedestrian flow factors, and lower weights during the flat peak). The real-time pedestrian flow monitored by infrared is N, and the historical average pedestrian flow for the corresponding time period is N0.

[0026] Preferably, the pedestrian flow and time period algorithm module is connected to an adjustment plan selection module, and the adjustment plan selection module is connected to the seat heating module, the seat ventilation module, and the lighting module.

[0027] The present invention provides a bus stop energy management system combining photovoltaic and breeze power generation. It has the following beneficial effects:

[0028] 1. The present invention configures a central control module and its connected energy algorithm module and energy collection plan selection module. Using precise calculation formulas (the energy priority selection formula weighs the advantages of current photovoltaic power generation and breeze power generation based on weight coefficients, and the power generation power prediction formula estimates the power generation power with historical and real-time data), it can intelligently determine and switch the optimal power generation method. Combining multiple sets of collection plans such as strong light and strong wind, strong light and weak wind, weak light and strong wind, and weak light and weak wind, it can flexibly respond to complex and changeable weather conditions, overcome the drawbacks that common light energy and wind power generation are restricted by bad weather such as rain, snow, and no wind, resulting in a sharp drop in power generation efficiency and losses greater than output, and improve the overall power generation efficiency.

[0029] 2. The present invention uses the monitoring module to comprehensively collect multi-dimensional information such as wind power, light energy, temperature, passenger flow, time, etc., and relies on the passenger flow and time period algorithm module and the adjustment scheme selection module to accurately control the energy demand characteristics of bus stations in different time periods and different passenger flow scenarios according to specific calculation formulas. Reasonably allocate energy to functional modules such as seat heating modules, seat ventilation modules, and lighting modules. While meeting the needs of passenger comfort and travel convenience, the system stores energy for reasonable distribution and use, breaking the previous dilemma of simply stacking equipment and lacking intelligent linkage mechanism, and greatly improving energy efficiency.

[0030] 3. The present invention can fully utilize the two clean energies of light energy and wind energy for green power generation by setting up an energy collection module, integrating the photovoltaic power generation module and the breeze power generation module, effectively get rid of the dependence on traditional city electricity (derived from fossil fuel thermal power), greatly reduce the consumption of non-renewable resources, conform to the concept of sustainable development, and provide stable power support for bus stations. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 is a system flow chart of the present invention;

[0032] Figure 2 It is a functional module flow chart of the present invention. DETAILED DESCRIPTION

[0033] The following will be combined with the drawings in the specification of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. 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.

[0034] Example:

[0035] Please refer to the attached Figure 1 - Attachment Figure 2 The embodiment of the present invention provides a bus station energy management system combining photovoltaic and micro-wind power generation, including an energy collection module, which collects light energy and wind energy to power bus station equipment and achieve the effect of green power generation. The energy collection module is connected to an energy conversion and storage module, which converts the light energy or wind energy collected by the energy collection module into electrical energy and stores the electrical energy. The energy collection module is connected to a central control module, which, as the core of the system, allocates and selects energy collection methods and energy supply equipment, thereby achieving the effect of optimal energy utilization;

[0036] The energy collection module includes a photovoltaic power generation module, which collects light energy and transmits the collected light energy to the energy conversion and storage module for conversion into electrical energy. The energy collection module is connected to a breeze power generation module, which collects wind energy and transmits the collected wind energy to the energy conversion and storage module for conversion into electrical energy.

[0037] The central control module is connected to a monitoring module, which collects and records various parameters of the outside world, provides a basis for the later selection of solutions, and further improves the accuracy of judging and selecting solutions. The monitoring module includes a wind monitoring module, which uses a wind sensor to collect and calculate the wind value of the outside world. The wind monitoring module is connected to a light energy monitoring module, which uses a light energy sensor to collect and calculate the light energy value of the outside world. The light energy monitoring module is connected to a temperature monitoring module, which uses a temperature sensor to collect and calculate the temperature value of the outside world. The temperature monitoring module is connected to an infrared sensor module, which is installed at the entrance and waiting area of ​​the bus stop, and counts the number of people entering and leaving the bus stop by detecting infrared rays emitted by the human body. The infrared sensor module is connected to a system time module, which determines time information;

[0038] The central control module is connected to an energy algorithm module, which substitutes external wind force values ​​and light energy values ​​and uses a formula for comparative calculation. The specific calculation formula is:

[0039] 1. Energy priority selection formula:

[0040] S=k pv ×P pv +k wg ×P wg

[0041] Where: P pv is the photovoltaic power generation power at the current moment, P wg is the breeze power at the current moment, and introduces the weight coefficient k pv (tends to 1 when the light is good and tends to 0 when the light is bad) and k wg (When the wind speed is high, it tends to 1, and when the wind speed is high, it tends to 0). By calculating, the power generation method with high score is prioritized. When S pv >S wg The emphasis is on photovoltaic power generation, whereas the emphasis is on wind power generation;

[0042] 2. Power generation estimation formula:

[0043] P pv =a×I now +(1-a)×Ihist

[0044] Among them: The photovoltaic power generation power is estimated based on the historical light intensity data of the same period I hist And the present light I now , set the proportionality coefficient a (obtained by linear regression fitting historical data) to estimate the photovoltaic power generation;

[0045] P wg =b×V now +(1-b)×V hist

[0046] Among them: The power of breeze power generation is estimated based on the historical wind speed V hist and current wind speed V now , set coefficient b, estimate the breeze power generation;

[0047] The energy algorithm module is connected to an energy collection scheme selection module. The energy collection scheme selection module is provided with a variety of different schemes. The specific schemes are:

[0048] Strong light and strong wind solution: Applicable when the light intensity is greater than 800 l ux and the wind speed is greater than 5 m / s, then photovoltaic power generation and breeze power generation will be operated in a ratio of 6:4, achieving coordinated and efficient power generation;

[0049] Strong light and weak wind solution: Applicable when the light intensity is greater than 800 l ux and the wind speed is less than 5 m / s, photovoltaic power generation is the main method, and breeze power generation is used as an auxiliary method at a ratio of 9:1;

[0050] Weak light and strong wind solution: Applicable to light intensity less than 800 l ux and wind speed greater than 5 m / s. Breeze power generation accounts for 7:3 and undertakes the main power generation task;

[0051] Weak light and weak wind solution: Applicable to light less than 800 lux and wind speed less than 5m / S, maintaining low power operation of both to ensure basic energy supply, relying more on energy storage, and reducing energy consumption of non-essential energy-consuming equipment;

[0052] The energy collection scheme selection module is connected to the photovoltaic power generation module and the breeze power generation module, and plays the effect of controlling the photovoltaic power generation module and the breeze power generation module to start and shut down according to the scheme content.

[0053] The central control module is connected to a distribution module, which reasonably distributes and uses the energy stored in the system. The distribution module is connected to the energy conversion and storage module to control the energy supply of the energy conversion and storage module. The distribution module is connected to a functional module, which provides various functions and effects for the bus station, further improving the comfort of travelers.

[0054] The functional module includes a seat heating module which provides a heating effect for the seats at the bus stop. A seat ventilation module is connected to the seat heating module, which provides a ventilation and heat dissipation effect for the seats at the bus stop. A lighting module is connected to the seat ventilation module, which provides a lighting effect for the bus stop, facilitating the use by travelers at night.

[0055] A passenger flow and time period algorithm module is connected to the distribution module. A separate calculation formula is set in the passenger flow and time period algorithm module. The passenger flow and time information values are substituted into the formula. The specific calculation formula is:

[0056] (When N≥N0)

[0057] (When N<N0)

[0058] Assume that a day is divided into multiple time periods, and the current time period is the t-th time period ( 1≤t≤n ) , and the preset basic weight for this time period is W t Set according to experience and the regular requirements of each time period (including high weights for the morning and evening rush hours due to light and passenger flow factors, and lower weights during off-peak hours). The real-time passenger flow monitored by infrared is N, and the historical average passenger flow for the corresponding time period is N0.

[0059] Calculation example:

[0060] During the morning rush hour, t = 1, the preset basic weight W1 = 0.8, the historical average passenger flow N0 = 30 people. When the real-time monitored N = 40 people, substituting into the first formula gives:

[0061]

[0062] The adjustment plan selection module allocates energy to each functional module according to the P value. The larger the P value, the more energy the corresponding module obtains and the higher its operating intensity.

[0063] The passenger flow and time period algorithm module is connected to an adjustment plan selection module, which is connected to the seat heating module, the seat ventilation module, and the lighting module to achieve a control effect.

[0064] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A bus station energy management system combining photovoltaic and breeze power generation, characterized in that: The system comprises an energy collection module, which collects light energy and wind energy to supply power to the bus station equipment and realizes the effect of green power generation. The energy collection module is connected to an energy conversion and storage module, which converts the light energy or wind energy collected by the energy collection module into electrical energy and stores the electrical energy. The energy collection module is connected to a central control module, which, as the core of the system, allocates and selects the energy collection method and the energy supply equipment. The central control module is connected to a monitoring module, which collects and records various parameters of the outside world. The central control module is connected to an energy algorithm module, which substitutes the wind force value and light energy value of the outside world and uses a formula for comparative calculation. The energy algorithm module is connected to an energy collection scheme selection module according to the outside world. A plurality of different schemes are arranged in the energy collection scheme selection module. The central control module is connected to a distribution module, which reasonably distributes and uses the energy stored in the system. The distribution module is connected to a functional module, which provides various functions and effects for the bus station.

2. The bus station energy management system combining photovoltaic and micro-wind power generation according to claim 1 is characterized in that: The energy collection module includes a photovoltaic power generation module, which collects light energy and transmits the collected light energy to the energy conversion and storage module for conversion into electrical energy. The energy collection module is connected to a breeze power generation module, which collects wind energy and transmits the collected wind energy to the energy conversion and storage module for conversion into electrical energy.

3. The bus station energy management system combining photovoltaic and micro-wind power generation according to claim 1 is characterized in that: The monitoring module includes a wind monitoring module, which uses a wind sensor to collect and calculate external wind values. The wind monitoring module is connected to a light energy monitoring module, which uses a light energy sensor to collect and calculate external light energy values. The light energy monitoring module is connected to a temperature monitoring module, which uses a temperature sensor to collect and calculate external temperature values. The temperature monitoring module is connected to an infrared sensor module, which is installed at the entrance and waiting area of ​​the bus stop, and counts the number of people entering and leaving the bus stop by detecting infrared rays emitted by the human body. The infrared sensor module is connected to a system time module, which determines time information.

4. The bus station energy management system combining photovoltaic and micro-wind power generation according to claim 1 is characterized in that: The specific calculation formula in the energy algorithm module is:

1. Energy priority selection formula: S=k pv ×P pv +k wg ×P wg Where: P pv is the photovoltaic power generation power at the current moment, P wg is the breeze power at the current moment, and introduces the weight coefficient k pv (tends to 1 when the light is good and tends to 0 when the light is bad) and k wg (When the wind speed is high, it tends to 1, and when the wind speed is high, it tends to 0). By calculating, the power generation method with high score is prioritized. When S pv >S wg The emphasis is on photovoltaic power generation, whereas the emphasis is on wind power generation; 2. Power generation estimation formula: P pv =a×I now +(1-a)×I hist Among them: The photovoltaic power generation power is estimated based on the historical light intensity data of the same period I hist And the present light I now , set the proportionality coefficient a (obtained by linear regression fitting historical data) to estimate the photovoltaic power generation; P wg =b×V now +(1-b)×V hist Among them: The power of breeze power generation is estimated based on the historical wind speed V hist and current wind speed V now , set the coefficient b, and estimate the breeze power generation power.

5. The bus station energy management system combining photovoltaic and micro-wind power generation according to claim 1 is characterized in that: The specific schemes in the energy collection scheme selection module are: strong light and strong wind scheme, strong light and weak wind scheme, weak light and strong wind scheme, and weak light and weak wind scheme.

6. The bus station energy management system combining photovoltaic and micro-wind power generation according to claim 1 is characterized in that: The energy collection scheme selection module is connected to the photovoltaic power generation module and the breeze power generation module, and plays the effect of controlling the photovoltaic power generation module and the breeze power generation module to start and shut down according to the scheme content.

7. The bus station energy management system combining photovoltaic and micro-wind power generation according to claim 1 is characterized in that: The distribution module is connected to the energy conversion and storage module to control the energy supply of the energy conversion and storage module.

8. The bus station energy management system combining photovoltaic and micro-wind power generation according to claim 1 is characterized in that: The functional module includes a seat heating module, which provides heating effect for the seats at the bus stop. The seat heating module is connected to a seat ventilation module, which provides ventilation and heat dissipation effect for the seats at the bus stop. The seat ventilation module is connected to a lighting module, which provides lighting effect for the bus stop.

9. The bus station energy management system combining photovoltaic and micro-wind power generation according to claim 1 is characterized in that: The distribution module is connected to a flow and time period algorithm module, in which a separate calculation formula is provided. The flow and time period information values ​​are substituted into the formula. The specific calculation formula is: Suppose a day is divided into multiple time periods, and the current period is the tth time period (1≤t≤n), and the preset basic weight of this period is W t It is set based on experience and regular demand in each time period, including morning and evening peaks due to high weights of light and human flow factors, and lower weights during off-peak hours). The real-time human flow monitored by infrared is N, and the historical average human flow in the corresponding time period is N0.

10. A bus station energy management system combining photovoltaic and micro-wind power generation according to claim 9, characterized in that: The passenger flow and time period algorithm module is connected to an adjustment scheme selection module, and the adjustment scheme selection module is connected to a seat heating module, a seat ventilation module, and a lighting module.

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