CN111476391A - Large mine off-grid energy supply system planning simulation tool based on pure clean energy - Google Patents
Large mine off-grid energy supply system planning simulation tool based on pure clean energy Download PDFInfo
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Abstract
The invention discloses a large mine off-grid energy supply system planning simulation tool based on pure clean energy, which comprises an input parameter module, an operation strategy module, an optimization planning module and a result display module, wherein the input parameter module is used for reading a configuration file from a given path, reading different light and wind resources and load data from the configuration file, and then transmitting the read data to the operation strategy module. The invention can realize the optimal configuration of the capacity of distributed power supplies such as photovoltaic power, wind power, electrochemical energy storage, pumped storage, gas turbine, heat storage boiler and the like in a large-scale mine multi-energy complementary energy supply system; analyzing the operation characteristics of the mine under different power utilization situations; optimizing the process flow of a mine field by combining the electrical characteristics of various equipment of the mine; the requirements of mine production, domestic electricity and heat utilization are met, and comprehensive and efficient utilization of various energy sources is realized.
Description
Technical Field
The invention relates to the technical field of clean energy, energy-saving technology and large-scale pure clean energy power supply, in particular to a large-scale mine off-grid energy supply system planning simulation tool based on pure clean energy.
Background
At present, a large mine off-grid energy supply system planning simulation tool based on pure clean energy is not developed at home and abroad; the simulation tool is used for developing various clean energy supply systems such as photovoltaic, wind power, electrochemical energy storage, pumped storage, gas turbines and heat storage boilers for large-scale mines, the simulated energy supply systems can guarantee the reliability of the requirements of production, domestic electricity and heat utilization of the large-scale mines, multi-level energy complementary utilization is realized, a new comprehensive utilization mode of resources such as wind, light, water and gas can be pushed, and the utilization of renewable energy is effectively improved.
Disclosure of Invention
The invention aims to provide technical support for the optimized design of a large mine off-grid energy supply system and further promote the complementary utilization of renewable energy sources such as wind, light, water and the like.
In order to achieve the purpose, the invention adopts the following technical scheme:
a large mine off-grid energy supply system planning simulation tool based on pure clean energy comprises an input parameter module, an operation strategy module, an optimization planning module and a result display module, wherein the input parameter module is used for reading a configuration file from a given path, reading different light and wind resources and load data from the configuration file and then transmitting the read data to the operation strategy module;
the operation strategy module comprises a wind-light-water coordination strategy and a gas turbine starting and stopping strategy, wherein the wind-light-water coordination strategy is used for realizing the coordination and scheduling of the output power of the photovoltaic power generation system, the wind power generation system and the pumped storage unit so as to utilize renewable energy resources to generate electricity to the maximum extent; the gas generator start-stop strategy is used for supporting the load of an energy supply system in a mining area when wind resources and light resources are insufficient, the power supply reliability of the system is guaranteed, and the operation strategy module transmits operation strategy information to the optimization planning module;
the optimization planning module is used for sorting the operation strategy information transmitted by the operation strategy module, further determining the optimal configuration scheme of the photovoltaic power generation system, the wind power generation system, the gas generator and the energy storage equipment system, optimizing the capacity configuration scheme of each power supply and reducing the planning cost, and the optimization planning module transmits the data of each equipment under the optimal configuration scheme to the result display module;
the result display module is used for sorting the data of each device under the optimal scheme configured by the optimization planning module and generating an adult operation curve and economic cost information, the operation result can be graphically and vividly displayed, and an operation result document can be output.
Preferably, the output of the photovoltaic power generation system is mainly determined by the illumination intensity irradiated on the photovoltaic surface, the operation condition of the system and the photovoltaic physical parameters.
Preferably, the output power of the wind power generation system is mainly determined by the wind speed, the landform and the altitude of an installation site and the characteristic factors of the output power of the fan.
Preferably, the gas generator is used as a combined heat and power device, and waste heat generated by the gas generator can be recycled.
Preferably, the energy storage equipment system is described by adopting a universal energy storage model aiming at quasi-steady-state models of pumped storage power stations and heat storage boilers.
The invention has the beneficial effects that:
the invention can realize the optimal configuration of the capacity of distributed power supplies such as photovoltaic power, wind power, electrochemical energy storage, pumped storage, gas turbine, heat storage boiler and the like in a large-scale mine multi-energy complementary energy supply system; analyzing the operation characteristics of the mine under different power utilization situations; optimizing the process flow of a mine field by combining the electrical characteristics of various equipment of the mine; the requirements of mine production, domestic electricity and heat utilization are met, and comprehensive and efficient utilization of various energy sources is realized.
Drawings
Fig. 1 is a structural block diagram of a large mine off-grid energy supply system planning simulation tool based on pure clean energy provided by the invention;
FIG. 2 is a wind speed-power characteristic curve of the wind power generator according to the present invention;
FIG. 3 is a graph of daily electrical load input data for a mine according to the present invention;
FIG. 4 is a graph of the annual average output data for a 1MW photovoltaic system in accordance with the present invention;
FIG. 5 is a annual wind speed input data curve of the location of the mine in the present invention;
FIG. 6 is a typical daily operating curve under the optimal configuration scheme of the present invention;
FIG. 7 is a pie chart of gas turbine and photovoltaic power generation proportion in the whole year of the invention;
FIG. 8 is a plot of the percentage of light lost throughout the year in accordance with the present invention.
In the figure: the system comprises an input parameter module 1, an operation strategy module 2, an optimization planning module 3 and a result display module 4.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1-8, a large mine off-grid energy supply system planning simulation tool based on pure clean energy comprises an input parameter module 1, an operation strategy module 2, an optimization planning module 3 and a result display module 4, wherein the input parameter module 1 is used for reading a configuration file from a given path, reading different light and wind resources, load data and the like from the configuration file, and then transmitting the read data to the operation strategy module 2;
the operation strategy module 2 comprises a wind-light-water coordination strategy and a gas turbine starting and stopping strategy, wherein the wind-light-water coordination strategy is used for realizing the coordination and scheduling of the output power of the photovoltaic power generation system, the wind power generation system and the pumped storage unit so as to utilize renewable energy resources to generate electricity to the maximum extent; the gas generator start-stop strategy is used for supporting the load of an energy supply system in a mining area when wind resources and light resources are insufficient, the power supply reliability of the system is guaranteed, and the operation strategy module 2 transmits operation strategy information to the optimization planning module 3;
the optimization planning module 3 is used for sorting the operation strategy information transmitted by the operation strategy module 2, further determining an optimal configuration scheme of the photovoltaic power generation system, the wind power generation system, the gas generator and the energy storage equipment system, optimizing the capacity configuration scheme of each power supply, reducing the planning cost, and transmitting data of each equipment under the optimal configuration scheme to the result display module 4 by the optimization planning module 3;
the planning scheme table is as follows:
the result display module 4 is used for arranging the data of each device under the optimal scheme configured by the optimization planning module 3 and generating an adult operation curve and economic cost information, the operation result can be graphically and vividly displayed, and an operation result document can be output.
The output of the photovoltaic power generation system is mainly determined by the comprehensive determination of the illumination intensity irradiated on the photovoltaic surface, the operation condition of the system, the photovoltaic physical parameters and the like, and is further explained, and the output power of the photovoltaic array is calculated by adopting the following formula under the general condition
In the formula: f. ofPVThe photovoltaic array derating factor is a photovoltaic array derating factor, represents the ratio of the actual photovoltaic output to the rated condition output, is used for calculating the loss caused by the covering of stains and rain and snow on the surface of the photovoltaic panel, the self aging of the photovoltaic panel and the like, and is generally 0.9; pV,capRated capacity for the photovoltaic array, kW; i isTkW/m2, α for light intensitypPower temperature coefficient,%/deg.C; when no wind exists, the illumination intensity is 1kW/m2, and the temperature of a photovoltaic cell is 25 ℃ which is the Standard Test Conditions (STC); i isSAnd TcellThe values are respectively the illumination intensity and the photovoltaic cell temperature under the standard test conditions, and the values are 1kW/m2 and 25 ℃. The outdoor ambient temperature has an influence on the operating efficiency of the photovoltaic panel, and generally, the operating efficiency of the photovoltaic array is reduced as the ambient temperature increases. Temperature T of photovoltaic cellcellCan be calculated by
In the formula: t isaAmbient temperature, deg.C; setting the light intensity at 0.8kW/m2, the ambient temperature at 20 ℃ and the wind speed at 1m/s as the rated photovoltaic operating conditions (NOCT); i isT,NOCTAnd Ta,NOCTThe illumination intensity and the environmental temperature under rated operation conditions are respectively 0.8kW/m2 and 20 ℃; t iscell,NOCTThe surface temperature of the photovoltaic cell under the rated operation condition is generally 45-48 ℃ ηmp,STCFor maximum power point efficiency under standard test conditions, the efficiency at the point is used to represent the photovoltaic operating efficiency, since the photovoltaic system is assumed to operate at the maximum power point,. tau.refers to the solar energy transmittance of the photovoltaic array cover, which is generally taken as a default value of 90%, and α refers to the solar energy absorption rate of the photovoltaic array, which is the ratio of the surface capable of absorbing solar energy, which is 90% of the default value.
The output power of the wind power generation system is mainly determined by factors such as the wind speed, the landform, the altitude, the output power characteristics of the fan and the like of an installation site, and further explained, the steady-state output characteristics of a single fan can be obtained by a wind speed-power curve provided by a manufacturer, and the wind speed-power curve describes the output power of the fan corresponding to the wind speed at the hub of the fan; FIG. 2 illustrates an idealized wind speed-power curve for a typical wind turbine;
wind speed v cut-in is required to be considered for output power characteristics of faninCut-out wind speed vout. When the wind speed is higher than vinAnd then the fan can be started. The output power of the fan is related to the wind speed and the wind speed-power characteristic curve of the fan. When the wind speed is higher than the cut-out wind speed voutIn time, the fan is shut down in order to protect the fan. At wind speed of [ v ]in,vR]In the interval, if the wind speed-power curve is not a straight line as shown in fig. 2, the output power of the wind turbine at any wind speed in the wind speed segment can be obtained by linear interpolation according to the values of the two actual measurement points, that is:
in the formula, PWT(vi)、PWT(vi+1) Respectively corresponding to wind speed vi、vi+1The wind driven generator outputs power.
The gas generator is used as a combined heat and power device, waste heat generated by the gas generator can be recycled, further explained, the gas generator adopts a fuel curve to describe the corresponding relation between the power generation power of the gas generator and the fuel usage, and the expression is as follows:
F＝F0Ygen+F1Pgen
in the formula: f0Is the intercept coefficient of the fuel curve; f1Is the slope of the fuel curve; y isgenIs the rated capacity of the gas generator; pgenIs the actual output power of a single gas generator.
Considering the gas generator as a cogeneration device, the waste heat generated by the gas generator can be recycled. It is assumed that the power generating unit has a fixed thermoelectric ratio (HER) in any state, i.e., the power generating unit generates 1 unit of power per unit of power with a fixed unit of heat energy. The thermal energy that the power generation unit can be recovered can be expressed as follows:
Qgen＝αgenPgen
formula (III) αgenRefers to the thermoelectric ratio of the power generation unit.
The energy storage equipment system adopts a universal energy storage model to describe the quasi-steady-state models of the pumped storage power station and the heat storage boiler, and further explains the quasi-steady-state models of the pumped storage power station and the heat storage boiler in the planning simulation tool. Considering the influence of the storage capacity of the energy storage unit on its life, the energy stored by the energy storage unit should not exceed the limit of the allowable capacity, and this constraint can be described by soc (state of charge). The charge state is the ratio of the residual capacity of the energy storage unit to the rated capacity, the charge state is 1 to represent that the energy storage is full, and the charge state is 0 to represent that the net discharge energy reaches the rated capacity.
The SOC calculation formula of the energy storage unit per hour is as follows:
in the formula,
and
the energy storage unit SOC, &lTtT transition = eta "&gTt eta &lTt/T &gTtESFor the efficiency of the energy storage unit, CESRefers to the capacity of the energy storage unit,
the energy charging and discharging power of the energy storage unit (the absorbed energy is positive, and the released energy is negative);
under the ideal condition, the product of the charging and discharging energy power and the simulation step length is the energy absorbed or released by the energy storage unit, and the model is as follows:
in the formula,. DELTA.WtThe external energy storage of the energy storage unit in the t period is realized;
for the time period t the remaining capacity of the energy storage unit,
wherein C isESIn order to provide the rated capacity of the energy storage unit,
is the state of charge for the time period t,
the residual capacity of the energy storage unit is in a t +1 time period;
the maximum and minimum capacity of the energy storage unit.
The maximum charge and discharge power calculation formula of the energy storage unit in the time period t is as follows:
wherein,
the maximum charge and discharge power allowed by the energy storage unit.
Fig. 6 is a typical daily operating curve under the optimal configuration scheme, which includes output power and load power of the photovoltaic generator, the gas turbine, the pump storage generator set, the pump storage water pump set and the heat storage boiler. Under the given input parameters, the wind turbine set is not configured in the optimal configuration scheme, so that the output power of the wind turbine is displayed as 0. FIGS. 7 and 8 are pie charts of annual economic parameters for a planning simulation tool to generate a configuration plan for a given case; wherein, fig. 7 shows the gas turbine and the photovoltaic power generation ratio under the optimal configuration, and the photovoltaic power generation ratio is close to 90%; fig. 8 shows the ratio of the abandoned light quantity in the optimal configuration, the ratio of the visible abandoned light quantity is less than 10%, and the photovoltaic utilization rate is high.
And (3) simulation process: starting a simulation tool, reading a configuration file from a given path by an input parameter module 1, reading different light and wind resources, load data and the like from the configuration file, and transmitting the read data to an operation strategy module 2; the operation strategy module 2 starts a wind-light-water coordination strategy and a gas turbine starting and stopping strategy, and the wind-light-water coordination strategy is used for generating electricity by utilizing renewable energy sources to the maximum extent; the gas turbine starting and stopping strategy is used for supporting the load of the energy supply system in a mining area when wind resources and light resources are insufficient, and the power supply reliability of the system is guaranteed; then the optimization planning module 3 determines the optimal configuration scheme of the photovoltaic power generation system, the wind power generation system, the gas generator and the energy storage equipment system, so that the capacity configuration scheme optimization of each power supply is realized, the planning cost is reduced, and the data of each equipment under the optimal configuration scheme is transmitted to the result display module 4; the result display module 4 sorts the data of each device under the optimal scheme and generates an adult operation curve and economic cost information, the operation result can be graphically and vividly displayed, and an operation result document can be output.
Simulation tool code:
the simulation tool was developed based on MAT L AB software, and the specific program code is as follows:
the above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (5)
1. A large mine off-grid energy supply system planning simulation tool based on pure clean energy comprises an input parameter module (1), an operation strategy module (2), an optimization planning module (3) and a result display module (4), and is characterized in that the input parameter module (1) is used for reading a configuration file from a given path, reading different light and wind resources and load data from the configuration file, and then transmitting the read data to the operation strategy module (2);
the operation strategy module (2) comprises a wind, light and water coordination strategy and a gas turbine starting and stopping strategy, wherein the wind, light and water coordination strategy is used for realizing the coordination and dispatching of the output power of the photovoltaic power generation system, the wind power generation system and the pumped storage unit so as to utilize renewable energy resources to generate electricity to the maximum extent; the gas generator start-stop strategy is used for supporting the load of an energy supply system in a mining area when wind resources and light resources are insufficient, the power supply reliability of the system is guaranteed, and the operation strategy module (2) transmits operation strategy information to the optimization planning module (3);
the optimization planning module (3) is used for sorting the operation strategy information transmitted by the operation strategy module (2), further determining the optimal configuration scheme of the photovoltaic power generation system, the wind power generation system, the gas generator and the energy storage equipment system, optimizing the capacity configuration scheme of each power supply and reducing the planning cost, and the optimization planning module (3) transmits the data of each equipment under the optimal configuration scheme to the result display module (4);
the result display module (4) is used for sorting the data of each device under the optimal scheme configured by the optimization planning module (3) and generating an adult operation curve and economic cost information, the operation result can be graphically and vividly displayed, and an operation result document can be output at the same time.
2. The tool of claim 1, wherein the output of the photovoltaic power generation system is determined by the intensity of light irradiating the photovoltaic surface, the operating condition of the system and the physical parameters of the photovoltaic.
3. The simulation tool for planning the off-grid energy supply system of the large mine based on the pure clean energy according to claim 1, wherein the output power of the wind power generation system is mainly determined by the wind speed, the landform and the altitude of the installation site and the characteristic factors of the output power of the wind turbine.
4. The simulation tool for planning and simulating a large off-grid mine energy supply system based on pure clean energy according to claim 1, wherein the gas generator is used as a cogeneration device, and waste heat generated by the gas generator can be recycled.
5. The simulation tool for planning the off-grid energy supply system of the large mine based on the pure clean energy according to claim 1, wherein the energy storage equipment system is described by adopting a universal energy storage model aiming at quasi-steady-state models of a pumped storage power station and a thermal storage boiler.
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| CN105205552A (en) * | 2015-09-11 | 2015-12-30 | 东南大学 | Optimal planning method for independent new energy hybrid power generation system |
| CN107317355A (en) * | 2017-07-04 | 2017-11-03 | 中国矿业大学 | A kind of pump-up power station joint wind-light complementary system and its optimization method |
| CN208638039U (en) * | 2018-07-02 | 2019-03-22 | 赫普科技发展（北京）有限公司 | A kind of scene gas complementary coupled electricity generation system |
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Application publication date: 20200731 |