CN117639016A - Capacity configuration method and device for energy storage equipment of comprehensive energy system - Google Patents
Capacity configuration method and device for energy storage equipment of comprehensive energy system Download PDFInfo
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- 238000004146 energy storage Methods 0.000 title claims abstract description 280
- 238000000034 method Methods 0.000 title claims abstract description 45
- 238000010248 power generation Methods 0.000 claims abstract description 79
- 238000009826 distribution Methods 0.000 claims abstract description 30
- 238000010276 construction Methods 0.000 claims description 10
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- 238000004364 calculation method Methods 0.000 claims description 8
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- 238000011217 control strategy Methods 0.000 description 5
- 229920002430 Fibre-reinforced plastic Polymers 0.000 description 3
- 239000002131 composite material Substances 0.000 description 3
- 239000011151 fibre-reinforced plastic Substances 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
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Abstract
The invention discloses a capacity configuration method and a capacity configuration device of energy storage equipment of a comprehensive energy system, wherein the capacity configuration method comprises the steps of setting a charge state limit value of the energy storage equipment; the method comprises the steps of obtaining planned output data of each unit of a comprehensive energy system, wherein the comprehensive energy system comprises a thermal power unit, a wind power unit and a photovoltaic unit; distributing output power of the energy storage equipment according to the charge state limit value and the planned output data of each unit to obtain an output condition when the energy storage equipment assists the thermal power unit in frequency modulation, an output condition when the energy storage equipment tracks the planned output of wind power generation, and an output condition when the energy storage equipment tracks the planned output of photovoltaic power generation; and controlling the comprehensive energy system to execute matched work according to the distribution result. According to the capacity configuration method and device for the energy storage equipment of the comprehensive energy system, the specific steps of the capacity configuration method for the energy storage equipment of the comprehensive energy system are designed, the configuration strategy of the energy storage power station under the multi-resource dimension is perfected, and the intelligent control process of the energy storage power station is promoted.
Description
Technical Field
The invention relates to the technical field of energy storage, in particular to a capacity configuration method and device of energy storage equipment of a comprehensive energy system.
Background
In recent years, with the continuous increase of the installed capacity of new energy power generation, the permeability of wind power generation and photovoltaic power generation in a power grid is increased year by year. However, since the output conditions of wind power generation and photovoltaic power generation are difficult to accurately predict, the randomness and fluctuation of wind power generation and photovoltaic power generation are one of the problems which are not solved at present. The electrochemical energy storage system has the characteristics of large generated energy, quick response and capability of absorbing or emitting electric energy, can effectively reduce the instability of wind power generation and photovoltaic power generation, and ensures the safe and stable operation of the power system. The existing configuration problems about energy storage on the power generation side are mostly considered to be configured under a single type of power supply, so that the research on the control strategy for applying the energy storage power station to simultaneously assist the wind power generation and the photovoltaic power generation tracking planned output and the thermal power AGC frequency modulation is less, and the research on the configuration problems of the energy storage power station to simultaneously assist the wind power generation and the photovoltaic power generation tracking planned output and the thermal power AGC frequency modulation is also less.
Therefore, how to design a capacity configuration method of the energy storage device of the integrated energy system has become a technical problem to be solved by those skilled in the art.
Disclosure of Invention
The invention provides a capacity configuration method and a capacity configuration device for energy storage equipment of a comprehensive energy system, which are used for designing specific steps of the capacity configuration method for the energy storage equipment of the comprehensive energy system, perfecting a configuration strategy of an energy storage power station under multiple resource dimensions and promoting an intelligent control process of the energy storage power station.
In order to solve the above technical problems, an embodiment of the present invention provides a method for configuring capacity of an energy storage device of an integrated energy system, including:
setting a state of charge limit of the energy storage device;
the method comprises the steps of obtaining planned output data of each unit of a comprehensive energy system, wherein the comprehensive energy system at least comprises a thermal power unit, a wind power unit and a photovoltaic unit;
distributing output power of the energy storage equipment according to the charge state limit value and the planned output data of each unit to respectively obtain an output condition when the energy storage equipment assists the thermal power unit to regulate frequency, an output condition when the energy storage equipment tracks the planned output of wind power generation, and an output condition when the energy storage equipment tracks the planned output of photovoltaic power generation;
and controlling the comprehensive energy system to execute matched work according to the distribution result.
As one preferable scheme, when the total data amount of the obtained planned output data of each unit of the comprehensive energy system is larger than a first preset threshold value, optimizing the distribution result according to a particle swarm algorithm and a genetic algorithm.
As one preferable scheme, the optimizing process for the distribution result according to the particle swarm algorithm and the genetic algorithm specifically includes:
comparing the quantization results of the two algorithms;
when the quantization difference value of the two is smaller than a second preset threshold value, determining a corresponding distribution result;
and when the quantized difference value of the two algorithms is larger than or equal to a second preset threshold value, carrying out optimizing calculation again, and comparing the quantized results of the two algorithms until the quantized difference value of the two algorithms is smaller than the second preset threshold value.
As one preferable scheme, when the total data amount of the obtained planned output data of each unit of the comprehensive energy system is smaller than or equal to a first preset threshold value, determining the optimal result of energy storage distribution according to an exhaustion method.
As one preferable scheme, after the comprehensive energy system is controlled to execute the matched work according to the distribution result, the capacity configuration method of the comprehensive energy system energy storage device further comprises the following steps:
and obtaining the maximum income of the energy storage power station according to the income value of each unit, the construction cost and the maintenance cost of the energy storage power station.
Another embodiment of the present invention provides a capacity configuration apparatus of an energy storage device of an integrated energy system, including a processor configured to:
setting a state of charge limit of the energy storage device;
the method comprises the steps of obtaining planned output data of each unit of a comprehensive energy system, wherein the comprehensive energy system at least comprises a thermal power unit, a wind power unit and a photovoltaic unit;
distributing output power of the energy storage equipment according to the charge state limit value and the planned output data of each unit to respectively obtain an output condition when the energy storage equipment assists the thermal power unit to regulate frequency, an output condition when the energy storage equipment tracks the planned output of wind power generation, and an output condition when the energy storage equipment tracks the planned output of photovoltaic power generation;
and controlling the comprehensive energy system to execute matched work according to the distribution result.
As one preferable aspect, the processor is further configured to:
and when the total data amount of the obtained planned output data of each unit of the comprehensive energy system is larger than a first preset threshold value, optimizing the distribution result according to a particle swarm algorithm and a genetic algorithm.
As one preferable aspect, the processor is further configured to:
comparing the quantization results of the two algorithms;
when the quantization difference value of the two is smaller than a second preset threshold value, determining a corresponding distribution result;
and when the quantized difference value of the two algorithms is larger than or equal to a second preset threshold value, carrying out optimizing calculation again, and comparing the quantized results of the two algorithms until the quantized difference value of the two algorithms is smaller than the second preset threshold value.
As one preferable aspect, the processor is further configured to:
and when the total data amount of the obtained planned output data of each unit of the comprehensive energy system is smaller than or equal to a first preset threshold value, determining an optimal result of energy storage distribution according to an exhaustion method.
As one preferable aspect, the processor is further configured to:
and obtaining the maximum income of the energy storage power station according to the income value of each unit, the construction cost and the maintenance cost of the energy storage power station.
Compared with the prior art, the embodiment of the invention has the beneficial effects that at least one of the following points is adopted:
(1) Firstly, setting a charge state limit value of energy storage equipment, and acquiring planned output data of each unit of the comprehensive energy system to provide data support for subsequent distribution; then, according to the state of charge limit value and the planned output data of each unit, the output power of the energy storage equipment is distributed, and the distribution strategy of the energy storage power station is designed from three dimensions, so that the control strategy of the new energy unit and the control strategy of the thermal unit are perfected; finally, the comprehensive energy system is controlled to execute matched work according to the distribution result, so that the operation performance of the energy storage power station is ensured, and the intelligent control process of the energy storage power station is promoted;
(2) The method comprises the steps of comprehensively considering the planned output condition and the economic influence of a new energy unit, determining the priority of different types of power generation sources assisted by energy storage, configuring the power capacity of an energy storage power station on the premise of optimal economical efficiency, and controlling the charge and discharge of an energy storage system through different energy storage SOC states. In addition, the invention fully considers the size of the acquired data quantity, and adopts a corresponding algorithm to carry out optimizing processing on the configuration result according to the situation.
Drawings
Fig. 1 is a flow chart of a method for configuring capacity of an integrated energy system energy storage device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention, and the purpose of these embodiments is to provide a more thorough and complete disclosure of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of this application, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first", "a second", "a third", etc. may explicitly or implicitly include one or more such feature. In the description of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.
In the description of the present application, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The terms "vertical," "horizontal," "left," "right," "upper," "lower," and the like are used herein for descriptive purposes only and not to indicate or imply that the apparatus or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore should not be construed as limiting the invention. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items. The specific meaning of the terms in this application will be understood by those of ordinary skill in the art in a specific context.
In the description of the present application, it should be noted that all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs unless defined otherwise. The terminology used in the description of the present invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention, as the particular meaning of the terms described above in this application will be understood to those of ordinary skill in the art in the specific context.
An embodiment of the present invention provides a method for configuring capacity of an energy storage device of an integrated energy system, specifically, please refer to fig. 1, fig. 1 shows a flow chart of the method for configuring capacity of the energy storage device of the integrated energy system in one embodiment of the present invention, which includes steps S1 to S4, specifically, as follows:
s1, setting a charge state limit value of energy storage equipment;
s2, planned output data of each unit of the comprehensive energy system are obtained, wherein the comprehensive energy system at least comprises a thermal power unit, a wind power unit and a photovoltaic unit;
s3, distributing output power of the energy storage equipment according to the charge state limit value and the planned output data of each unit to respectively obtain an output condition when the energy storage equipment assists the thermal power unit in frequency modulation, an output condition when the energy storage equipment tracks the planned output of wind power generation, and an output condition when the energy storage equipment tracks the planned output of photovoltaic power generation;
and S4, controlling the comprehensive energy system to execute matched work according to the distribution result.
The steps in the embodiments of the present invention are described in detail below.
Step 1: setting an upper limit SOC for a state of charge of an energy storage device high Lower limit SOC low SOC high limit value SOC limit＿high SOC low limit value SOC limit＿low Preferably, the data acquisition unit outputs the thermal power unit output value and the AGC scheduling command valueError err between the AGC scheduling instruction and the current output and the planned output value of the wind power station are acquired. And communicates the collected information to the control unit.
Step 2: the control unit receives the data transmitted by the data acquisition unit and distributes the output power of the energy storage device. The energy storage power output is divided into three parts, wherein the first part is the output condition of the energy storage device for assisting the thermal power generating unit in frequency modulation, the second part is the output condition of the energy storage device for tracking the wind power generation planned output, and the third part is the output condition of the energy storage device for tracking the photovoltaic power generation planned output. The total output condition of the energy storage device is obtained by adding the three output conditions of the energy storage, the control unit calculates the information sent by the acquisition unit to obtain the energy storage output, and the result is transmitted to the configuration unit.
Step 201: determining profits Profit of energy storage equipment participating in auxiliary AGC frequency modulation of thermal power generating unit in current regional power market AGC Profits Profit of energy storage equipment for assisting wind turbine generator to track planned output w Profits Profit of planned output of photovoltaic power generation tracking assistance by energy storage equipment v . Since the energy storage assistance in each region has different types of power generation source profits, the actual profits depend on the current policy of the location of the energy storage configuration.
Step 202: when Profit AGC ＞Profit w ＞Profit v When the thermal power frequency modulation device is used, the output condition of the energy storage for assisting the thermal power frequency modulation is calculated first. When SOC (i) < SOC high And err (i) is less than 0, the energy storage is used for assisting the output of thermal power frequency modulation as shown in formula (1). E is the energy storage device capacity and P is the energy storage device power.
If SOC (i) > SOC low And err (i) is more than 0, and the output of the energy storage for assisting thermal power frequency modulation is shown as a formula (2).
When err (i) =0, the stored energy does not act, and the first partial output of the stored energy is shown in formula (3).
P battery1 (i)＝0 (3)
According to the energy storage output condition, determining the SOC value SOC of the energy storage at the current moment after the energy storage is used for assisting the thermal power frequency modulation late (i) A. The invention relates to a method for producing a fibre-reinforced plastic composite As shown in formula (4).
After calculating energy storage for assisting thermal power frequency modulation output, obtaining SOC late And calculating the output condition of the energy storage for assisting the wind power plant to track the power generation plan.
When P wind (i)＜P plan_low (i) At the time of SOC late (i)＞SOC limit＿low And err is more than or equal to 0, and the output of the energy storage for assisting the wind power plant in tracking the power generation plan is shown as a formula (5).
Wherein P is wind (i) For i moment wind farm output, P plan＿low (i) And planning a lower output limit for the wind power plant at the moment i.
When P plan＿low (i)≤P wind (i)≤P plan＿high (i) And when the wind power station is used for assisting the wind power station to track the power generation plan, the power output of the energy storage is shown in a formula (6).
P battery2 (i)＝0 (6)
When P wind (i)＞P plan＿high (i) If SOC (i) < SOC limit＿high And err is less than or equal to 0, and the output force of the energy storage for assisting the wind power plant in tracking the power generation plan is shown as a formula (7). Otherwise, the energy storage is not operated.
Determining an energy storage current time SOC value SOC after the end of the output of the energy storage for assisting the wind power plant in tracking the power generation plan according to the energy storage output condition late (i) A. The invention relates to a method for producing a fibre-reinforced plastic composite As shown in formula (8).
After calculating the output for assisting the wind power plant to track the power generation plan, the obtained SOC late2 And calculating the output condition of the energy storage for assisting the photovoltaic power station in tracking the power generation plan.
When P pv (i)＜P pv＿plan＿low (i) At the time of SOC late2 (i)＞SOC limit＿low And err is more than or equal to 0, and the output condition of the energy storage for assisting the photovoltaic power station in tracking the power generation plan is shown in a formula (9). Otherwise, the energy storage is not operated.
Wherein P is pv (i) For the output of the photovoltaic power station at moment i, P pv＿plan＿low (i) And planning a lower output limit for the photovoltaic power station at the moment i.
When P pv＿plan＿low (i)≤P pv (i)≤P pv＿plan＿high (i) And the stored energy output is shown as a formula (10).
P battery3 (i)＝0 (10)
When P pv (i)＞P pv＿plan＿high (i) If SOC (i) < SOC limit＿high And err is less than or equal to 0, and the output condition of the energy storage for assisting the photovoltaic power station in tracking the power generation plan is shown as a formula (11). Otherwise, the energy storage is not operated.
The actual force of the energy storage device at time i is shown in equation (12).
P battery (i)＝P battery1 (i)+P battery2 (i)+P battery3 (i) (12)
Step 203: when Profit AGC ＞Profit v ＞Profit w When the thermal power frequency modulation device is used, the output condition of the energy storage for assisting the thermal power frequency modulation is calculated first. When SOC (i) < SOC high And err (i) is less than 0, the energy storage is used for assisting the output of thermal power frequency modulation as shown in formula (13). E is the energy storage device capacity and P is the energy storage device power.
If SOC (i) > SOC low And err (i) is more than 0, and the output of the energy storage for assisting thermal power frequency modulation is shown as a formula (14).
When err (i) =0, the stored energy does not act, and the stored energy first partial output is shown as formula (15).
P battery1 (i)＝0 (15)
According to the energy storage output condition, determining the SOC value SOC of the energy storage at the current moment after the energy storage is used for assisting the thermal power frequency modulation late (i) A. The invention relates to a method for producing a fibre-reinforced plastic composite As shown in formula (16).
After calculating the energy storage for assisting the output condition after the thermal power frequency modulation is finished, obtaining the SOC late And calculating the output condition of the energy storage for assisting the photovoltaic power station in tracking the power generation plan.
When P pv (i)＜P pv＿plan＿low (i) At the time of SOC late (i)＞SOC limit＿low And err is more than or equal to 0, and the output force for assisting the photovoltaic power station to track the power generation plan is as follows(17) As shown. Otherwise, the energy storage is not operated.
Wherein P is pv (i) For the output of the photovoltaic power station at moment i, P pv＿plan＿low (i) And planning a lower output limit for the photovoltaic power station at the moment i.
When P pv＿plan＿low (i)≤P pv (i)≤P pv＿plan＿high (i) The stored energy output is shown in formula (18).
P battery2 (i)＝0 (18)
When P pv (i)＞P pv＿plan＿high (i) If SOC (i) < SOC limit＿high And err is less than or equal to 0, and the energy storage output is shown as a formula (19). Otherwise, the energy storage is not operated.
And determining an energy storage current time SOC value of the energy storage after the power generation plan output tracking is finished by the auxiliary photovoltaic power station according to the energy storage output condition. As shown in formula (20).
After calculating the energy storage for assisting the photovoltaic power station to track the power generation plan output, the obtained SOC late2 And calculating the output condition of the energy storage for assisting the wind power plant to track the power generation plan.
When P wind (i)＜P wind＿plan＿low (i) At the time of SOC late2 (i)＞SOC limit＿low And err is more than or equal to 0, and the output condition of the energy storage for assisting the wind power plant in tracking the power generation plan is shown as a formula (21). Otherwise, the energy storage is not operated.
Wherein P is wind (i) For i moment wind farm output, P wind＿plan＿low (i) And planning a lower output limit for the wind power plant at the moment i.
When P wind＿plan＿low (i)≤P wind (i)≤P wind＿plan＿high (i) The stored energy output is shown in formula (22). I.e. no force is generated by energy storage.
P battery3 (i)＝0 (22)
When P pv (i)＞P wind＿plan＿high (i) If SOC (i) < SOC limit＿high And err is less than or equal to 0, and the energy storage output is shown as a formula (23). Otherwise, the energy storage is not operated.
The actual force of the energy storage device at time i is shown in equation (24).
P battery (i)＝P battery1 (i)+P battery2 (i)+P battery3 (i) (24)
Step 203: when Profit w ＞Profit AGC ＞Profit v When the wind power generation system is used, the output condition of the energy storage for assisting the wind power plant in tracking the power generation plan is determined first.
When P wind (i)＜P wind＿plan＿low (i) At the time of SOC late2 (i)＞SOC low The output condition of the energy storage for assisting the wind power plant in tracking the power generation plan is shown in a formula (25). Otherwise, the energy storage is not operated.
Wherein P is wind (i) For i moment wind farm output, P wind＿plan＿low (i) And planning a lower output limit for the wind power plant at the moment i.
When P wind＿plan＿low (i)≤P wind (i)≤P wind＿plan＿high (i) When storingThe energy output is shown in formula (26). I.e. no force is generated by energy storage.
P battery1 (i)＝0 (26)
When P pv (i)＞P wind＿plan＿high (i) If SOC (i) < SOC limit＿high The stored energy output is shown in formula (27). Otherwise, the energy storage is not operated.
And determining an energy storage current time SOC value after the energy storage is used for assisting the wind power plant in tracking the power generation plan according to the energy storage output condition. As shown in formula (28).
After calculating the output of the energy storage used for assisting the wind power plant to track the power generation plan, the obtained SOC late And calculating the output condition of the energy storage for assisting the frequency modulation of the thermal power generating unit.
When P battery1 If SOC is equal to or greater than 0 late (i)＜SOC limit＿high And err (i) is less than 0, the output condition of the energy storage and the energy storage for assisting the thermal power unit in frequency modulation is shown as a formula (29). Otherwise, the energy storage is not operated.
When P battery1 If SOC is less than or equal to 0 late (i)＞SOC limit＿low And err (i) is more than 0, and the output condition of the energy storage for assisting the thermal power unit in frequency modulation is shown as a formula (30). Otherwise, the energy storage is not operated.
When err (i) =0, the energy storage does not act, and the output condition of the energy storage for assisting the thermal power unit in frequency modulation is shown as a formula (31).
P battery2 (i)＝0 (31)
And according to the energy storage, the energy storage current time SOC value after the output of the auxiliary thermal power unit frequency modulation is ended. As shown in formula (32).
After calculating the output of the energy storage for assisting the thermal power unit in frequency modulation, obtaining the SOC late2 And calculating the output condition of the energy storage for assisting the photovoltaic power station in tracking the power generation plan.
When P pv (i)＜P pv＿plan＿low (i) At the time of SOC late (i)＞SOC limit＿low And P is battery1 And the output condition of the energy storage for assisting the photovoltaic power station in tracking the power generation plan is shown as a formula (33). Otherwise, the energy storage is not operated.
Wherein P is pv (i) For the output of the photovoltaic power station at moment i, P pv＿plan＿low (i) And planning a lower output limit for the photovoltaic power station at the moment i.
When P pv_plan_low (i)≤P pv (i)≤P pv_plan_high (i) The stored energy output is shown in formula (34).
P battery3 (i)＝0 (34)
When P pv (i)＞P pv＿plan＿high (i) If SOC (i) < SOC limit＿high And P is battery1 And the output condition of the energy storage for assisting the photovoltaic power station in tracking the power generation plan is less than or equal to 0, and is shown in a formula (35). Otherwise, the energy storage is not operated.
The actual behavior of the energy storage device at time i is shown in equation (36).
P battery (i)＝P battery1 (i)+P battery2 (i)+P battery3 (i) (36)
Step 204: when Profit w ＞Profit AGC ＞Profit v When the wind power generation system is used, the output condition of the energy storage for assisting the wind power plant in tracking the power generation plan is calculated first.
When P wind (i)＜P wind＿plan＿low (i) If SOC (i) > SOC low The output condition of the energy storage for assisting the wind power plant in tracking the power generation plan is shown in a formula (37). Otherwise, the energy storage is not operated.
Wherein P is wind (i) For i moment wind farm output, P wind＿plan＿low (i) And planning a lower output limit for the wind power plant at the moment i.
When P wind＿plan＿low (i)≤P wind (i)≤P wind＿plan＿high (i) And when the energy storage is used for assisting the wind power plant in tracking the power generation plan, the output condition is shown in a formula (38).
P battery1 (i)＝0 (38)
When P pv (i)＞P wind＿plan＿high (i) If SOC (i) < SOC limit＿high The output condition of the energy storage for assisting the wind power plant in tracking the power generation plan is shown in a formula (39). Otherwise, the energy storage is not operated.
And the energy storage current time SOC value after the output of the tracking power generation plan is finished is used for assisting the wind power plant according to the energy storage. As shown in equation (40).
After calculating the output of the energy storage used for assisting the wind power plant to track the power generation plan, the obtained SOC late And calculating the output condition of the energy storage for assisting the photovoltaic power station in tracking the plan.
When P pv (i)＜P pv＿plan＿low (i) At the time of SOC late (i)＞SOC limit＿low And P is battery1 And the output condition of the energy storage for assisting the tracking plan of the photovoltaic power station is shown as a formula (41). Otherwise, the energy storage is not operated.
Wherein P is pv (i) For the output of the photovoltaic power station at moment i, P pv＿plan＿low (i) And planning a lower output limit for the photovoltaic power station at the moment i.
When P pv＿plan＿low (i)≤P pv (i)≤P pv＿plan＿high (i) And when the energy storage is used for assisting the photovoltaic power station to track the planned output condition, the output condition is shown in a formula (42).
P battery3 (i)＝0 (42)
When P pv (i)＞P pv＿plan＿high (i) If SOC (i) < SOC limit＿high And P is battery1 And less than or equal to 0, and the output condition of the energy storage for assisting the tracking plan of the photovoltaic power station is shown as a formula (43). Otherwise, the energy storage is not operated.
And determining an energy storage current time SOC value after the power output of the auxiliary photovoltaic power station tracking plan is ended. As shown in equation (44).
Energy storage for auxiliary light after calculationAfter tracking the planned output of the photovoltaic power station, the obtained SOC late2 And calculating the output condition of the energy storage for assisting the thermal power unit in frequency modulation.
When P battery1 If SOC is equal to or greater than 0 late2 (i)＜SOC limit＿high And err (i) is less than 0, the energy storage is used for assisting the thermal power unit to carry out the output condition of frequency modulation as shown in formula (45).
When P battery1 If SOC is less than or equal to 0 late2 (i)＞SOC limit＿low And err (i) > 0, and the energy storage is used for assisting the thermal power unit to carry out the output condition (46) of frequency modulation.
When err (i) =0, the output condition of the energy storage for assisting the thermal power unit in frequency modulation is shown as a formula (47).
P battery3 (i)＝0 (47)
The actual force of the energy storage device at time i is shown in equation (48).
P battery (i)＝P battery1 (i)+P battery2 (i)+P battery3 (i) (48)
Step 205: when Profit v ＞Profit w ＞Profit AGC When the method is used, the output condition of the energy storage for assisting the photovoltaic power station in tracking the power generation plan is calculated first.
When P pv (i)＜P pv＿plan＿low (i) At the time of SOC late2 (i)＞SOC low The output condition of the energy storage for assisting the photovoltaic power station in tracking the power generation plan is shown in a formula (49). Otherwise, the energy storage is not operated.
Wherein P is pv (i) For the output of the photovoltaic power station at moment i, P pv＿plan＿low (i) And planning a lower output limit for the photovoltaic power station at the moment i.
When P pv＿plan＿low (i)≤P pv (i)≤P pv＿plan＿high (i) And when the energy storage is used for assisting the photovoltaic power station to track the power generation plan, the output condition is shown as a formula (50).
P battery1 (i)＝0 (50)
When P pv (i)＞P pv＿plan＿high (i) If SOC (i) < SOC limit＿high The output condition of the energy storage for assisting the photovoltaic power station in tracking the power generation plan is shown in a formula (51). Otherwise, the energy storage is not operated.
And determining an energy storage current time SOC value after the output of the auxiliary photovoltaic power station for tracking the power generation plan is finished according to the energy storage output condition. As shown in equation (52).
After calculating the output of the energy storage for assisting the photovoltaic power station to track the power generation plan, the obtained SOC late And calculating the output condition of the energy storage for assisting the wind power plant in tracking the plan.
When P wind (i)＜P wind＿plan＿low (i) At the time of SOC late (i)＞SOC limit＿low And P is battery1 And (5) not less than 0, wherein the second part of the output force is shown in a formula (53). Otherwise, the energy storage is not operated.
Wherein P is wind (i) For the output of a power station of a wind power plant at moment i, P wind＿plan＿low (i) Is thatAnd (3) planning a lower limit of the output of the wind power plant at the moment i.
When P wind＿plan＿low (i)≤P wind (i)≤P wind＿plan＿high (i) The stored energy output is shown in equation (54). I.e. no force is generated by energy storage.
P battery2 (i)＝0 (54)
When P wind (i)＞P wind＿plan＿high (i) If SOC (i) < SOC limit＿high And P is battery1 The energy storage output is less than or equal to 0 and is shown as a formula (55). Otherwise, the energy storage is not operated.
And determining an energy storage current time SOC value after the energy storage is used for assisting the wind power plant to track the planned output. As shown in equation (56).
After calculating the output of the energy storage for assisting the wind power plant tracking plan, the obtained SOC late2 And calculating the output condition of the energy storage for assisting the thermal power unit in frequency modulation.
When P battery1 If SOC is equal to or greater than 0 late2 (i)＜SOC limit＿high And err (i) is less than 0, the energy storage is used for assisting the thermal power unit to carry out the output condition of frequency modulation as shown in a formula (57).
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When P battery1 If SOC is less than or equal to 0 late2 (i)＞SOC limitlow And err (i) is more than 0, and the output condition of energy storage for assisting the thermal power unit in frequency modulation is shown as a formula (58).
When dlp (i) =0, the output condition of the energy storage and the energy storage for assisting the thermal power unit to perform frequency modulation is shown as a formula (59).
P battery3 (i)＝0 (59)
The actual operation of the energy storage device at time i is shown in formula (60).
P battery (i)＝P battery1 (i)+P battery2 (i)+P battery3 (i) (60)
Step 206: when Profit v ＞Profit AGC ＞Profit w When the method is used, the output condition of the energy storage for assisting the photovoltaic power station in tracking the power generation plan is calculated first.
When P pv (i)＜P pv＿plan＿low (i) At the time of SOC late2 (i)＞SOC low The output condition of the energy storage for assisting the photovoltaic power station in tracking the power generation plan is shown in a formula (61). Otherwise, the energy storage is not operated.
Wherein P is pv (i) For the output of the photovoltaic power station at moment i, P pv＿plan＿low (i) And planning a lower output limit for the photovoltaic power station at the moment i.
When P pv＿plan＿low (i)≤P pv (i)≤P pv＿plan＿high (i) And when the energy storage is used for assisting the photovoltaic power station to track the power generation plan, the output condition is shown in a formula (62).
P battery1 (i)＝0 (62)
When P pv (i)＞P pv＿plan＿high (i) If SOC (i) < SOC limit＿high The output condition of the energy storage for assisting the photovoltaic power station in tracking the power generation plan is shown in a formula (63). Otherwise, the energy storage is not operated.
And determining an energy storage current time SOC value after the output of the auxiliary photovoltaic power station for tracking the power generation plan is finished according to the energy storage output condition. As shown in equation (64).
After calculating the output of the energy storage for assisting the photovoltaic power station to track the power generation plan, the obtained SOC late And calculating the output condition of the energy storage for assisting the frequency modulation of the thermal power generating unit.
When P battery1 If SOC is equal to or greater than 0 late (i)＜SOC limit＿high And dlp (i) is less than 0, the output condition of storing energy for assisting the thermal power unit in frequency modulation is shown as a formula (65).
When P battery1 If SOC is less than or equal to 0 late (i)＞SOC limit＿low And err (i) is more than 0, and the output condition of the energy storage for assisting the thermal power unit frequency modulation is shown in a formula (66).
When err (i) =0, the output condition of the energy storage for assisting the thermal power unit in frequency modulation is shown as a formula (67).
P battery2 (i)＝0 (67)
And determining the SOC value of the stored energy at the current moment after the output of the energy storage for assisting the thermal power unit in frequency modulation is finished. As shown in equation (68).
After calculating the output of the energy storage for assisting the thermal power unit in frequency modulation, obtaining the SOC late2 Computing storeThe method can be used for assisting the wind power plant in tracking the planned output condition.
When P wind (i)＜P wind＿plan＿low (i) At the time of SOC late2 (i)＞SOC limit＿low And P is battery1 And the output condition of the energy storage for assisting the wind power plant tracking plan is shown in a formula (69). Otherwise, the energy storage is not operated.
Wherein P is wind (i) For i moment wind farm output, P wind＿plan＿low (i) And planning a lower output limit for the wind power plant at the moment i.
When P wind＿plan＿low (i)≤P wind (i)≤P wind＿plan＿high (i) And when the energy storage is used for assisting the wind power plant to track the planned output condition is shown in a formula (70).
P battery3 (i)＝0 (70)
When P wind (i)＞P wind＿plan＿high (i) If SOC (i) < SOC limit＿high And P is battery1 And less than or equal to 0, and the output condition of the energy storage for assisting the wind power plant tracking plan is shown in a formula (71). Otherwise, the energy storage is not operated.
The actual behavior of the energy storage device at time i is shown in equation (72).
P battery (i)＝P battery1 (i)+P battery2 (i)+P battery3 (i) (72)
Step 3: the configuration unit starts working after receiving the calculation result of the control unit. The objective function is established as shown in equation (73).
MAX f＝profit wind +profit AGC +profit pv -cost 1 -cost 2 (73)
In the case of profit wind Tracking wind power for energy storage power stationsProfits from power generation planning, profits AGC Profits brought by AGC frequency modulation of auxiliary thermal power unit of energy storage power station and profits pv For the income that energy storage power station tracking photovoltaic power generation plan brought, cost 1 For the construction cost of the energy storage power station, cost 2 And the maintenance cost of the energy storage power station. profit wind ，profit AGC Profit pv The specific value of (2) depends on the price policy of electricity in different areas.
The construction cost of the energy storage power station is shown as formula (74).
cost 1 ＝P×Price P +E×Price E (74)
P is the planned construction power of the energy storage power station, E is the planned construction capacity of the energy storage power station, price P Price for energy storage device power unit Price E Monovalent for the energy storage device capacity.
The construction cost of the energy storage power station is shown as a formula (75).
cost 2 ＝E×C M ×N (74)
C M And the unit price is maintained for the capacity of the energy storage equipment, and N is the number of operable years of the energy storage power station.
The power constraint of the energy storage system during configuration is shown in equation (75). I.e. the power of the energy storage system at the moment i cannot exceed the rated power of the energy storage system.
-P≤P i ≤P (75)
Wherein P is i The power of the energy storage system at the moment i.
The SOC constraints of the energy storage system during configuration are shown in equation (76). Namely, the SOC state of the storage energy storage system at the moment i cannot exceed the set upper and lower limits of the energy storage SOC.
SOC low ≤SOC(i)≤SOC high (76)
Wherein SOC (i) is the SOC of the energy storage system at the moment i, and SOC low Is the lower limit of SOC, SOC high Is the upper SOC limit.
Step 4: in the process of configuring the energy storage capacity of the energy storage equipment in the comprehensive energy power generation system, when the output value of the thermal power unit and the AGC scheduling instruction value acquired by the acquisition unit, the error err between the output of the thermal power unit and the AGC scheduling instruction, the current output of the wind power plant and the planned output value, and the data size of the current output of the photovoltaic power plant and the planned output value are smaller than X, calculating the optimal result of the energy storage configuration by adopting an exhaustion method, namely calculating all possible configuration results one by one, and selecting a scheme with the optimal result as a final configuration result. And when the data size of the current output and the planned output value of the photovoltaic power station is larger than X, optimizing the configuration result by adopting a particle swarm algorithm and a genetic algorithm. And comparing the calculation results of the two algorithms. And when the difference value of the two results is smaller than the threshold value Y, taking the best result as the configuration result. And when the difference value of the two results is larger than the threshold value Y, carrying out optimizing calculation from new, and comparing until the difference value of the two results is smaller than the threshold value Y.
The invention also provides a capacity configuration device of the energy storage equipment of the comprehensive energy system, which comprises a processor, wherein the processor is configured to:
setting a state of charge limit of the energy storage device;
the method comprises the steps of obtaining planned output data of each unit of a comprehensive energy system, wherein the comprehensive energy system at least comprises a thermal power unit, a wind power unit and a photovoltaic unit;
distributing output power of the energy storage equipment according to the charge state limit value and the planned output data of each unit to respectively obtain an output condition when the energy storage equipment assists the thermal power unit to regulate frequency, an output condition when the energy storage equipment tracks the planned output of wind power generation, and an output condition when the energy storage equipment tracks the planned output of photovoltaic power generation;
and controlling the comprehensive energy system to execute matched work according to the distribution result.
Further, in the above embodiment, the processor is further configured to:
and when the total data amount of the obtained planned output data of each unit of the comprehensive energy system is larger than a first preset threshold value, optimizing the distribution result according to a particle swarm algorithm and a genetic algorithm.
Further, in the above embodiment, the processor is further configured to:
comparing the quantization results of the two algorithms;
when the quantization difference value of the two is smaller than a second preset threshold value, determining a corresponding distribution result;
and when the quantized difference value of the two algorithms is larger than or equal to a second preset threshold value, carrying out optimizing calculation again, and comparing the quantized results of the two algorithms until the quantized difference value of the two algorithms is smaller than the second preset threshold value.
Further, in the above embodiment, the processor is further configured to:
and when the total data amount of the obtained planned output data of each unit of the comprehensive energy system is smaller than or equal to a first preset threshold value, determining an optimal result of energy storage distribution according to an exhaustion method.
Further, in the above embodiment, the processor is further configured to:
and obtaining the maximum income of the energy storage power station according to the income value of each unit, the construction cost and the maintenance cost of the energy storage power station.
The capacity configuration method and device for the energy storage equipment of the comprehensive energy system provided by the embodiment of the invention have the beneficial effects that at least one of the following steps is adopted:
(1) Firstly, setting a charge state limit value of energy storage equipment, and acquiring planned output data of each unit of the comprehensive energy system to provide data support for subsequent distribution; then, according to the state of charge limit value and the planned output data of each unit, the output power of the energy storage equipment is distributed, and the distribution strategy of the energy storage power station is designed from three dimensions, so that the control strategy of the new energy unit and the control strategy of the thermal unit are perfected; finally, the comprehensive energy system is controlled to execute matched work according to the distribution result, so that the operation performance of the energy storage power station is ensured, and the intelligent control process of the energy storage power station is promoted;
(2) The method comprises the steps of comprehensively considering the planned output condition and the economic influence of a new energy unit, determining the priority of different types of power generation sources assisted by energy storage, configuring the power capacity of an energy storage power station on the premise of optimal economical efficiency, and controlling the charge and discharge of an energy storage system through different energy storage SOC states. In addition, the invention fully considers the size of the acquired data quantity, and adopts a corresponding algorithm to carry out optimizing processing on the configuration result according to the situation.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
Claims (10)
1. The capacity configuration method of the energy storage equipment of the comprehensive energy system is characterized by comprising the following steps of:
setting a state of charge limit of the energy storage device;
the method comprises the steps of obtaining planned output data of each unit of a comprehensive energy system, wherein the comprehensive energy system at least comprises a thermal power unit, a wind power unit and a photovoltaic unit;
distributing output power of the energy storage equipment according to the charge state limit value and the planned output data of each unit to respectively obtain an output condition when the energy storage equipment assists the thermal power unit to regulate frequency, an output condition when the energy storage equipment tracks the planned output of wind power generation, and an output condition when the energy storage equipment tracks the planned output of photovoltaic power generation;
and controlling the comprehensive energy system to execute matched work according to the distribution result.
2. The method for configuring the capacity of the energy storage device of the integrated energy system according to claim 1, wherein when the total data amount of the obtained planned output data of each unit of the integrated energy system is greater than a first preset threshold, optimizing the distribution result according to a particle swarm algorithm and a genetic algorithm.
3. The method for configuring the capacity of the energy storage device of the integrated energy system according to claim 2, wherein the optimizing the allocation result according to the particle swarm algorithm and the genetic algorithm specifically comprises:
comparing the quantization results of the two algorithms;
when the quantization difference value of the two is smaller than a second preset threshold value, determining a corresponding distribution result;
and when the quantized difference value of the two algorithms is larger than or equal to a second preset threshold value, carrying out optimizing calculation again, and comparing the quantized results of the two algorithms until the quantized difference value of the two algorithms is smaller than the second preset threshold value.
4. The method for configuring capacity of energy storage equipment of an integrated energy system according to claim 3, wherein when the total data amount of the obtained planned output data of each unit of the integrated energy system is less than or equal to a first preset threshold, an optimal result of energy storage distribution is determined according to an exhaustion method.
5. The method for configuring the capacity of an integrated energy system energy storage device according to claim 4, wherein after controlling the integrated energy system to perform the matched operation according to the allocation result, the method for configuring the capacity of the integrated energy system energy storage device further comprises:
and obtaining the maximum income of the energy storage power station according to the income value of each unit, the construction cost and the maintenance cost of the energy storage power station.
6. A capacity allocation apparatus for an integrated energy system energy storage device, comprising a processor configured to:
setting a state of charge limit of the energy storage device;
the method comprises the steps of obtaining planned output data of each unit of a comprehensive energy system, wherein the comprehensive energy system at least comprises a thermal power unit, a wind power unit and a photovoltaic unit;
distributing output power of the energy storage equipment according to the charge state limit value and the planned output data of each unit to respectively obtain an output condition when the energy storage equipment assists the thermal power unit to regulate frequency, an output condition when the energy storage equipment tracks the planned output of wind power generation, and an output condition when the energy storage equipment tracks the planned output of photovoltaic power generation;
and controlling the comprehensive energy system to execute matched work according to the distribution result.
7. The capacity allocation apparatus of the integrated energy system energy storage device of claim 6, wherein the processor is further configured to:
and when the total data amount of the obtained planned output data of each unit of the comprehensive energy system is larger than a first preset threshold value, optimizing the distribution result according to a particle swarm algorithm and a genetic algorithm.
8. The capacity allocation apparatus of the integrated energy system energy storage device of claim 7, wherein the processor is further configured to:
comparing the quantization results of the two algorithms;
when the quantization difference value of the two is smaller than a second preset threshold value, determining a corresponding distribution result;
and when the quantized difference value of the two algorithms is larger than or equal to a second preset threshold value, carrying out optimizing calculation again, and comparing the quantized results of the two algorithms until the quantized difference value of the two algorithms is smaller than the second preset threshold value.
9. The capacity allocation apparatus of the integrated energy system energy storage device of claim 8, wherein the processor is further configured to:
and when the total data amount of the obtained planned output data of each unit of the comprehensive energy system is smaller than or equal to a first preset threshold value, determining an optimal result of energy storage distribution according to an exhaustion method.
10. The capacity allocation apparatus of the integrated energy system energy storage device of claim 9, wherein the processor is further configured to:
and obtaining the maximum income of the energy storage power station according to the income value of each unit, the construction cost and the maintenance cost of the energy storage power station.
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