CN117455422B - Thermal energy management system based on micro-grid - Google Patents
Thermal energy management system based on micro-grid Download PDFInfo
- Publication number
- CN117455422B CN117455422B CN202311798774.9A CN202311798774A CN117455422B CN 117455422 B CN117455422 B CN 117455422B CN 202311798774 A CN202311798774 A CN 202311798774A CN 117455422 B CN117455422 B CN 117455422B
- Authority
- CN
- China
- Prior art keywords
- heat energy
- management
- real
- energy
- micro
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000004146 energy storage Methods 0.000 claims abstract description 136
- 239000002918 waste heat Substances 0.000 claims abstract description 90
- 238000004458 analytical method Methods 0.000 claims abstract description 69
- 238000000034 method Methods 0.000 claims abstract description 48
- 238000010248 power generation Methods 0.000 claims abstract description 46
- 230000008569 process Effects 0.000 claims abstract description 40
- 238000005457 optimization Methods 0.000 claims abstract description 21
- 230000005856 abnormality Effects 0.000 claims abstract description 12
- 230000005611 electricity Effects 0.000 claims description 52
- 238000005338 heat storage Methods 0.000 claims description 39
- 239000002912 waste gas Substances 0.000 claims description 18
- 238000010438 heat treatment Methods 0.000 claims description 15
- 239000002699 waste material Substances 0.000 claims description 13
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 11
- 238000005265 energy consumption Methods 0.000 claims description 9
- 238000012544 monitoring process Methods 0.000 claims description 9
- 230000002159 abnormal effect Effects 0.000 claims description 7
- 239000007789 gas Substances 0.000 claims description 7
- 238000003860 storage Methods 0.000 claims description 5
- 238000007599 discharging Methods 0.000 claims description 4
- 230000020169 heat generation Effects 0.000 claims description 3
- 230000001105 regulatory effect Effects 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 claims description 2
- 238000010586 diagram Methods 0.000 description 8
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 239000003034 coal gas Substances 0.000 description 2
- 230000001276 controlling effect Effects 0.000 description 2
- 239000000446 fuel Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000003345 natural gas Substances 0.000 description 2
- 239000003921 oil Substances 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000005057 refrigeration Methods 0.000 description 1
Abstract
The invention relates to a thermal energy management system based on a micro-grid, in particular to the technical field of electric energy management, which comprises an information acquisition module, a control module and a control module, wherein the information acquisition module is used for acquiring electric energy information and thermal energy information; the information analysis module is used for carrying out heat energy demand analysis and heat energy supply analysis to obtain real-time heat energy demand and real-time waste heat energy total quantity; the heat energy judging module is used for judging the heat energy state of the micro-grid and carrying out heat energy abnormality warning; the thermal energy management module is used for carrying out electric energy storage management and micro-grid power generation management when the micro-grid thermal energy state is normal, carrying out cogeneration management and thermal energy storage management, compensating the micro-grid power generation management process according to the cogeneration management result, and adjusting the cogeneration management process according to the thermal energy storage management result; and the feedback optimization module is used for feeding back the management efficiency and optimizing the thermal energy management process. The invention improves the heat energy management efficiency of the micro-grid.
Description
Technical Field
The invention relates to the technical field of electric energy management, in particular to a thermal energy management system based on a micro-grid.
Background
The generator set in the micro-grid utilizes fuel (such as natural gas, coal gas, oil gas and the like) to burn, so that mechanical energy is generated, and a large amount of waste heat is generated when the mechanical energy is converted into electric energy, the recovery of the waste heat is an important mode for optimizing energy management of the micro-grid, the use and the scheduling of energy can be optimized through thermal energy management, the economic benefit is improved, the comprehensive utilization of various energy sources is realized, the pollution and the emission to the environment are reduced, and the aims of environmental protection and emission reduction are realized.
Chinese patent publication No.: CN115811066a discloses a method and a system for controlling a micro-grid integrating thermal energy and electric energy, which are provided with a heating strategy, a refrigeration strategy, a thermal energy storage strategy, an electric energy strategy and an electrothermal energy conversion strategy; the invention can convert electric energy from electric energy to heat energy under the economical condition, thereby the energy source of the whole system can be used under the economical state; the flow direction can be accurately controlled, the operation of the heat source generating device is reasonably controlled, the energy is flexibly used, the heat energy consumption is reduced, and compared with the traditional heating such as central heating, a great amount of cost can be saved; the peak electricity consumption is reduced, and the power is contributed to the peak-valley electricity balance of the power grid while the electricity consumption is saved for users. But only the temperature conditions of the heating scene are limited, and the heat energy and the electric energy are simply scheduled according to the temperature conditions, so that the heat energy management efficiency cannot be effectively improved.
Disclosure of Invention
Therefore, the invention provides a micro-grid-based thermal energy management system, which is used for solving the problem of low thermal energy management efficiency of a micro-grid caused by a large amount of waste heat generated in the power supply process of the micro-grid in the prior art by carrying out electric energy storage management, cogeneration management and thermal energy storage management on the micro-grid.
To achieve the above object, the present invention provides a thermal energy management system based on a micro grid, comprising:
the information acquisition module is used for acquiring electric energy information and heat energy information;
the information analysis module is used for carrying out heat energy demand analysis according to the heat energy information to obtain real-time heat energy demand, and carrying out heat energy supply analysis according to the heat energy information to obtain real-time waste heat energy total amount;
the heat energy judging module is used for judging the heat energy state of the micro-grid according to the heat energy supply analysis result and carrying out heat energy abnormality warning when the heat energy state of the micro-grid is abnormal;
the thermal energy management module is used for carrying out electric energy storage management according to the electricity consumption period in the electric energy information and carrying out micro-grid power generation management according to the real-time load when the micro-grid thermal energy state is normal, carrying out cogeneration management according to the real-time thermal energy demand and the real-time waste thermal energy total amount, carrying out thermal energy storage management according to the stored thermal energy, compensating the micro-grid power generation management process according to the thermal energy cogeneration management result, and regulating the cogeneration management process according to the thermal energy storage management result;
The feedback optimization module is used for calculating the energy utilization rate according to the effective heat energy, feeding back the management efficiency according to the energy utilization rate, and optimizing the heat energy management process according to the management efficiency.
Further, the information analysis module is provided with a thermal energy demand analysis unit for performing thermal energy demand analysis according to thermal energy information to obtain real-time thermal energy demand, and the thermal energy demand analysis unit calculates real-time thermal energy demand B according to heating thermal energy demand G, hot water thermal energy demand H and historical thermal energy demand Ba of a preset unit period in a preset analysis period to perform thermal energy demand analysis, and sets b=0.5× (g+h) + O.5 ×ba.
Further, the information analysis module is provided with a heat energy supply analysis unit for performing heat energy supply analysis according to heat energy information to obtain real-time waste heat energy total quantity, the heat energy supply analysis unit is provided with a heat flow formula i=m×cp×Δt, the heat energy supply analysis unit inputs waste heat emission parameters into the data acquisition and monitoring SCADA system, the heat flow formula is utilized to calculate the heat flow of the waste gas, and the information analysis module integrates the heat flow of the waste gas in each preset unit period to obtain real-time waste heat energy total quantity Q in the preset unit period.
Further, the thermal energy judging module compares the real-time total waste thermal energy Q with preset waste thermal energy Q0, and judges the thermal energy state of the micro-grid according to the comparison result, wherein:
when Q is less than or equal to Q0, the heat energy judging module judges that the micro-grid heat energy state is normal;
when Q is more than Q0, the heat energy judging module judges that the heat energy state of the micro-grid is abnormal, carries out heat energy abnormality warning, and pauses the micro-grid to generate electricity through the micro-grid controller.
Further, the thermal energy management module is provided with an electric energy storage management unit for carrying out electric energy storage management according to the electricity consumption period, and the electric energy storage management unit carries out electric energy storage management according to the electricity consumption period when the micro-grid thermal energy state is normal, wherein:
when the electricity consumption period is the electricity consumption low-peak period, the electric energy storage management unit sets the generated power as balance power to supply power to the electricity consumption circuit and charges the energy storage system;
when the electricity consumption period is the electricity consumption peak period, the electric energy storage management unit sets the generated power as balance power to supply power to the electricity consumption circuit, and discharges the electricity consumption circuit through the energy storage system.
Further, the thermal energy management module is provided with an electric energy storage management unit for carrying out micro-grid power generation management according to the real-time load, the electric energy storage management unit compares the real-time power generation C and the real-time discharging power D of the energy storage system with the real-time load F and manages the micro-grid power generation according to the comparison result, wherein:
When C+D is more than or equal to alpha multiplied by F, the electric energy storage management unit pauses the micro-grid to generate electricity;
when F is more than C+D is less than alpha multiplied by F, the electric energy storage management unit generates power by the micro-grid with the current power generation power;
when C+D is less than or equal to F, the electric energy storage management unit increases the micro-grid power Pg, the increased micro-grid power is Pg1, and Pg1=F- (Esc+D) is set.
Further, the thermal energy management module is provided with a cogeneration management unit for performing cogeneration management according to the real-time thermal energy demand and the real-time waste thermal energy, and further for compensating the micro-grid power generation management process according to the result of the cogeneration management, wherein the cogeneration management unit compares the real-time thermal energy demand B with the real-time waste thermal energy Q and performs cogeneration management according to the comparison result, and the thermal energy management unit comprises:
when B is less than or equal to Q, the cogeneration management unit judges that the real-time waste heat energy is sufficient, supplies the real-time waste heat energy to a heat energy consumption end, and inputs the residual real-time waste heat energy into a heat storage system for storage;
when B is more than Q, the cogeneration management unit judges that the real-time waste heat energy is insufficient, and supplies the real-time waste heat energy and the heat energy in the heat storage system to the heat energy consumption end;
The cogeneration management unit compensates the micro-grid power generation management process according to the cogeneration management result, wherein:
if the real-time waste heat energy is sufficient, the cogeneration management unit calculates a compensation coefficient Ba according to the real-time heat energy demand B and the real-time waste heat energy total quantity Q, and sets Ba=0.6xe −0.02×(Q-B) +0.4×[0.002×(Q-B)+0.75]E is a natural logarithm base, the cogeneration management unit compensates a preset real-time load proportionality coefficient alpha according to a compensation coefficient Ba, the compensated preset real-time load proportionality coefficient is alpha 1, and alpha 1 = Ba x alpha is set;
if the real-time waste heat energy is insufficient, the cogeneration management unit calculates a compensation coefficient Ba according to the real-time heat energy demand B and the real-time waste heat energy total quantity Q, and sets Ba=7.7X [1-e ] −0.05×(B-Q) ]+0.3×[0.01×(B-Q)+1.05]The cogeneration management unit compensates the real-time load F according to the compensation coefficient Ba, and the compensated real-time load is F1, and f1=ba×f is set.
Further, the thermal energy management module is provided with a thermal energy storage management unit for performing thermal energy storage management according to stored thermal energy, and for adjusting a cogeneration management process according to a thermal energy storage management result, wherein the thermal energy storage management unit compares the stored thermal energy R with each preset stored thermal energy and performs thermal energy storage management according to the comparison result, and the thermal energy storage management unit comprises:
When R is smaller than R1, the thermal energy storage management unit judges that the thermal energy is not stored enough;
when R1 is less than or equal to R2, the thermal energy storage management unit judges that thermal energy storage is normal;
when R is less than or equal to R2, the thermal energy storage management unit judges that the thermal energy storage is sufficient;
r1 is a first preset stored thermal energy, R2 is a second preset stored thermal energy, R1 is more than 0 and less than R2;
the heat energy storage management unit adjusts the cogeneration management process according to the heat energy storage management result, wherein:
if the thermal energy storage is insufficient, the thermal energy storage management unit calculates an adjustment coefficient ra according to the stored thermal energy R, and sets ra=0.6X0.9Xe −0.5×(R-R1) ]+0.4×[0.1×(R-R1)+0.9]The thermal energy storage management unit adjusts the total quantity Q of the real-time waste heat energy according to the adjustment coefficient ra, the adjusted total quantity Q of the real-time waste heat energy is Qr, and qr=ra×Q is set;
if the heat energy storage is normal, the heat energy storage management unit does not adjust the cogeneration management process;
if the thermal energy storage is sufficient, the thermal energy storage management unit calculates an adjustment coefficient ra from the stored thermal energy R, sets ra=0.7x [1.2 x (1-e) −0.2×(R2-R) )]+0.3×[0.01×(R2-R) 2 +0.2×R+0.9]The thermal energy storage management unit adjusts the total real-time waste heat energy Q according to the adjustment coefficient ra, the adjusted total real-time waste heat energy is Qr, and qr=ra×Q is set.
Further, the feedback optimization module is provided with an efficiency feedback unit, which is configured to calculate an energy utilization rate according to effective heat energy and perform feedback on management efficiency according to the energy utilization rate, wherein the efficiency feedback unit calculates effective heat energy Y, sets y=vv+rv, vv as a total heat energy supply amount, rv as stored heat energy in a last preset unit period of a feedback period, and calculates an energy utilization rate S according to the effective heat energy Y, sets s=y/Qv, qv as a total waste heat energy amount, and compares the energy utilization rate S with a preset energy utilization rate S0 and performs feedback on management efficiency according to a comparison result, wherein:
when S is less than or equal to S0, the efficiency feedback unit judges that the management efficiency is low;
when S > S0, the efficiency feedback unit judges that the management efficiency is high.
Further, the feedback optimization module is provided with an efficiency optimization unit for optimizing the thermal management process when the management efficiency is low, the efficiency optimization unit optimizes the thermal management process when the management efficiency is low, calculates an optimization coefficient sa according to the energy utilization rate S, and sets sa=0.6× [1.3×log (1.1× (S0-S))]+0.4×[0.02×（S0-S） 2 +0.3×（S0-S）+1.1]The efficiency optimizing unit optimizes rated heat storage capacity Rr of the heat storage system according to an optimizing coefficient sa, the rated heat storage capacity of the optimized heat storage system is Rrs, rrs=sa×Rr is set, and the efficiency optimizing unit expands the capacity of the optimized heat storage system according to the rated heat storage capacity of the optimized heat storage system.
Compared with the prior art, the micro-grid management system has the advantages that the system collects electric energy information and heat energy information through the information collecting module so as to conveniently analyze the electric energy information and the heat energy information and manage the micro-grid heat energy, the system analyzes the heat energy demand and analyzes the heat energy supply according to the heat energy information through the information analyzing module so as to conveniently manage the micro-grid heat energy according to the heat energy demand analysis result and the heat energy supply analysis result, the system judges the micro-grid heat energy state through the heat energy judging module so as to manage the micro-grid state heat energy state according to the heat energy analysis result, thereby improving the heat energy management efficiency of the micro-grid, the system carries out electric energy storage management and power generation management through the heat energy management module so as to conveniently store energy and manage power generation of the micro-grid according to the electric energy information when the micro-grid heat energy state is normal, reduce waste heat generation, thereby improving the heat energy management efficiency of the micro-grid, and further optimize the heat energy utilization efficiency of the micro-grid according to the heat energy balance management process by carrying out heat energy co-generation management and heat energy storage management according to the heat energy storage management result, and further carrying out the system so as to optimize the heat energy utilization efficiency of the micro-grid.
Drawings
Fig. 1 is a schematic structural diagram of a thermal energy management system based on a micro-grid according to the present embodiment;
fig. 2 is a schematic structural diagram of an information analysis module according to the present embodiment;
FIG. 3 is a schematic diagram of a thermal management module according to the present embodiment;
fig. 4 is a schematic structural diagram of a feedback optimization module according to this embodiment.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
Furthermore, it should be noted that, in the description of the present invention, 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 specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
Referring to fig. 1, a schematic structural diagram of a thermal energy management system based on a micro-grid according to the present embodiment is shown, where the system includes:
the information acquisition module is used for acquiring electric energy information and heat energy information;
the information analysis module is used for carrying out heat energy demand analysis and heat energy supply analysis according to the heat energy information to obtain real-time heat energy demand and real-time waste heat energy total quantity, and is connected with the information acquisition module;
the heat energy judging module is used for judging the heat energy state of the micro-grid according to the heat energy supply analysis result and carrying out heat energy abnormality warning when the heat energy state of the micro-grid is abnormal, and is connected with the information analysis module;
the thermal energy management module is used for carrying out electric energy storage management according to the electricity consumption period in the electric energy information and carrying out micro-grid power generation management according to the real-time load when the micro-grid thermal energy state is normal, carrying out cogeneration management according to the real-time thermal energy demand and the real-time waste thermal energy total amount, carrying out thermal energy storage management according to the stored thermal energy, compensating the micro-grid power generation management process according to the thermal energy cogeneration management result, regulating the thermal energy cogeneration management process according to the thermal energy storage management result, and connecting the thermal energy management module with the thermal energy judgment module;
The feedback optimization module is used for calculating the energy utilization rate according to the effective heat energy, feeding back the management efficiency according to the energy utilization rate, optimizing the heat energy management process according to the management efficiency, and connecting the feedback optimization module with the heat energy management module.
Specifically, the system is arranged at a micro-grid management end, is applied to a micro-grid where a generator set burns by using fuel such as natural gas, coal gas, oil gas and the like, and is used for controlling the micro-grid through a micro-grid controller and recovering and managing a large amount of waste heat generated by the micro-grid so as to improve the heat energy management efficiency of the micro-grid.
Specifically, the system collects electric energy information and thermal energy information through the information collecting module so as to analyze the electric energy information and the thermal energy information in the follow-up process, so as to manage the micro-grid thermal energy, the system analyzes thermal energy demand and thermal energy supply according to the thermal energy information through the information analyzing module so as to manage the micro-grid thermal energy according to the thermal energy demand analysis result and the thermal energy supply analysis result, the system judges the micro-grid thermal energy state through the thermal energy judging module so as to manage the micro-grid state thermal energy state according to the thermal energy analysis result, so as to improve the thermal energy management efficiency of the micro-grid, the system carries out electric energy storage management and micro-grid power generation management through the thermal energy management module so as to reduce waste heat generation according to the electric energy information when the micro-grid thermal energy state is normal, so as to improve the thermal energy management efficiency of the micro-grid, the system also carries out cogeneration thermoelectric management and thermal energy storage management according to the thermal energy storage management result, and carries out compensation on the micro-grid power generation management process according to the thermal energy storage management result, carries out adjustment on the micro-grid power generation management process so as to reduce generation of electric energy and supply balance, thereby improving the waste heat utilization efficiency of the micro-grid is further improved, and the system carries out optimization management efficiency according to the feedback management process.
Specifically, the electric energy information includes an electricity consumption period, a real-time generated power and a real-time load, the heat energy information includes heating heat energy demand, hot water heat energy demand, waste heat emission parameters and stored heat energy, the electricity consumption period refers to a period divided according to the electricity consumption amount of an electricity consumption circuit, the period includes an electricity consumption peak period and an electricity consumption low peak period, the embodiment does not limit the collection mode of the electricity consumption period, the skilled person can freely set the collection mode of the electricity consumption period, only needs to meet the collection requirement of the electricity consumption period, for example, the electricity consumption period can be collected through an electricity demand side management system, the real-time generated power refers to real-time electric energy generated by a micro-grid, the real-time load refers to electric energy consumed by the electricity consumption circuit powered by the micro-grid in real time, the embodiment does not limit the collection mode of the real-time generated power and the real-time load, the method can be freely set by a person skilled in the art, and only needs to meet the accurate acquisition requirements of real-time power generation and real-time load data, for example, the SCADA system can be used for acquiring the real-time power generation and the real-time load, the heating heat energy requirement is the heat energy requirement of a subject heated by waste heat of a micro-grid and consuming heat energy for heating, the hot water heat energy requirement is the heat energy requirement of a subject heated by waste heat of the micro-grid and consuming heat energy for hot water supply, the acquisition modes of the heating heat energy requirement and the hot water heat energy requirement are not limited, the person skilled in the art can freely set, and only needs to meet the accurate acquisition requirements of the heating heat energy requirement and the hot water heat energy requirement, for example, the heating heat energy requirement and the hot water heat energy requirement can be acquired by the technology of the Internet of things, the heating equipment and the hot water equipment are connected with the platform of the internet of things, the heat energy conditions of heating requirements and hot water requirements are collected in real time, the waste heat emission parameters refer to waste heat emission parameters, such as waste gas temperature, pressure and flow, near the micro-grid generator set and the waste heat emission port, the collection mode of the waste heat emission parameters is not limited, the technical staff can set according to actual requirements, the requirements for accurate collection of the waste heat emission parameters are only met, the waste gas temperature can be collected through temperature sensors installed on the micro-grid generator set and the waste heat emission port, the stored heat energy refers to residual heat energy stored in a heat storage system equipped with the micro-grid, the collection mode of the stored heat energy is not limited, the technical staff can freely set, only the requirements for accurate collection of the stored heat energy are met, for example, the stored heat energy can be collected through a heat energy meter, the stored heat energy is installed at the output end and the input end of the heat storage system, the heat energy of the input end is collected, and the heat energy of the output end is subtracted from the heat energy of the input end.
Specifically, the thermal energy judging module compares the real-time total waste thermal energy Q with preset waste thermal energy Q0, and judges the thermal energy state of the micro-grid according to the comparison result, wherein:
when Q is less than or equal to Q0, the heat energy judging module judges that the micro-grid heat energy state is normal;
when Q is more than Q0, the heat energy judging module judges that the heat energy state of the micro-grid is abnormal, carries out heat energy abnormality warning, and pauses the micro-grid to generate electricity through the micro-grid controller.
Specifically, the preset waste heat energy refers to a value of preset waste heat energy generated by normal operation of the micro grid when the micro grid generates electricity in a preset unit period, the preset waste heat energy is set by the power generation capability of the micro grid, if the power generation capability of the micro grid in the preset unit period is 100kW and the efficiency is 30%, the generation amount of the waste heat energy is 70kW, and the preset waste heat energy is set to 70kW.
It can be understood that the thermal energy abnormality warning mode is not limited in this embodiment, and a person skilled in the art can freely set the thermal energy abnormality warning mode only by meeting the warning prompt requirement of the user, for example, the thermal energy abnormality warning mode can be set to perform abnormality warning sound and red light flashing prompt.
Specifically, the thermal energy judging module judges the thermal energy state of the micro-grid, and gives a thermal energy abnormality alarm when the total real-time waste thermal energy is larger than the preset waste thermal energy, so that a user is timely prompted to take countermeasures when the thermal energy state of the micro-grid is abnormal, judgment and management of the thermal energy state of the micro-grid are realized, and the thermal energy management efficiency of the micro-grid is improved.
Fig. 2 is a schematic structural diagram of an information analysis module according to the present embodiment, where the information analysis module includes:
the heat energy demand analysis unit is used for carrying out heat energy demand analysis according to the heat energy information to obtain real-time heat energy demand;
and the heat energy supply analysis unit is used for carrying out heat energy supply analysis according to the heat energy information to obtain the total amount of real-time waste heat energy, and is connected with the heat energy demand analysis unit.
Specifically, the thermal energy demand analysis unit calculates the real-time thermal energy demand B according to the heating thermal energy demand G, the hot water thermal energy demand H, and the historical thermal energy demand Ba of a preset unit period in a preset analysis period, so as to perform thermal energy demand analysis, and set b=0.5× (g+h) + O.5 ×ba.
Specifically, the thermal energy demand analysis unit calculates the real-time thermal energy demand to perform thermal energy demand analysis, so that the real-time thermal energy demand of the thermal energy consumption end is determined according to the numerical value, the subsequent management of thermal energy is facilitated, and the thermal energy management efficiency of the micro-grid is improved.
Specifically, the preset analysis period refers to a preset period for analyzing historical heat energy demand data, the setting of the preset analysis period is not limited in this embodiment, a person skilled in the art can freely set the preset analysis period, and only needs to meet the accurate analysis requirement on the historical heat energy demand data, if the preset analysis period can be set to be a week, the preset unit period refers to a preset minimum time unit for describing the change of the historical heat energy demand and the real-time heat energy demand, such as one minute, half hour, one hour, and the like, the historical heat energy demand refers to heat energy required by an object for heat energy supply by the waste heat of the micro-grid in each preset unit period in the preset analysis period, such as 20 joules of heat energy consumed at two afternoon points in the last week, and the historical heat energy demand ba=20 at two afternoon points in the current preset analysis period is set.
Specifically, the heat energy supply analysis unit inputs the waste heat emission parameters into the data acquisition and monitoring SCADA system, calculates the heat flow of the waste gas by using a heat flow formula, integrates the heat flow of the waste gas in each preset unit period, and obtains the real-time total amount Q of waste heat energy in the preset unit period.
In particular, the data acquisition and monitoring SCADA system refers to a software platform of the data acquisition and monitoring control system, which is used for realizing remote data acquisition, monitoring and control functions of industrial processes, equipment or systems, the selection of the software platform of the data acquisition and monitoring SCADA system is not limited, the selection of the software platform of the data acquisition and monitoring SCADA system can be freely set by a person skilled in the art, the acquisition requirement of the total amount of waste heat energy is only required to be met, for example, siemens WinCC software can be selected as the software platform of the data acquisition and monitoring SCADA system, the heat flow of the waste gas refers to the heat carried by the waste gas related to time, the heat flow formula refers to a formula for calculating the heat flow of the waste gas, the heat flow formula is not limited in the embodiment, the heat flow formula can be set by a person skilled in the art according to the selection of the waste heat emission parameters, and only the calculation requirement of the heat flow is needed, for example, the heat flow formula can be set to be i=m×cp×Δt, i is the heat flow of the waste gas, unit joule/second, m is the mass flow of the waste gas, unit is kilogram/second, which is measured by a flow sensor, cp is the constant pressure specific heat capacity of the waste gas, unit is joule/(kilogram-kelvin), and represents the heat required by the temperature increase of 1 kelvin of the waste gas per unit mass under the constant pressure condition, which usually needs to be checked or calculated according to the composition and the temperature range of the waste gas, Δt is the temperature difference between the waste gas and the reference temperature, unit is kelvin, and the reference temperature is the ambient temperature or the temperature before the waste gas is discharged.
Specifically, the heat energy supply analysis unit acquires and monitors the total amount of the real-time waste heat energy in a preset unit period through the SCADA system so as to perform heat energy supply analysis, and is convenient for managing the heat energy subsequently, so that the heat energy management efficiency of the micro-grid is improved.
Fig. 3 is a schematic structural diagram of a thermal management module according to the present embodiment, where the thermal management module includes:
the electric energy storage management unit is used for carrying out electric energy storage management according to the electricity utilization period and carrying out micro-grid power generation management according to the real-time load;
the system comprises a cogeneration management unit, a power generation management unit, a power storage management unit and a power generation management unit, wherein the cogeneration management unit is used for performing cogeneration management according to the real-time heat energy demand and the real-time waste heat energy, compensating the power generation management process of the micro-grid according to the result of the cogeneration management, and connecting the cogeneration management unit with the power storage management unit;
the heat energy storage management unit is used for carrying out heat energy storage management according to stored heat energy, adjusting the cogeneration management process according to a heat energy storage management result, and connecting with the cogeneration management unit.
Specifically, when the micro-grid thermal energy state is normal, the electric energy storage management unit performs electric energy storage management according to the electricity consumption period, wherein:
When the electricity consumption period is the electricity consumption low-peak period, the electric energy storage management unit sets the generated power as balance power to supply power to the electricity consumption circuit and charges the energy storage system;
when the electricity consumption period is the electricity consumption peak period, the electric energy storage management unit sets the generated power as balance power to supply power to the electricity consumption circuit, and discharges the electricity consumption circuit through the energy storage system.
Specifically, the balance power refers to a balance value of generated power of the micro-grid, which generates the least waste heat, the embodiment does not limit the acquisition mode of the balance power, and a person skilled in the art can freely set the balance power, and only needs to meet the acquisition requirement of the balance power, if the balance power can be set by the electric energy storage management unit according to the real-time load F, the generated power Pg, the charging power Esc of the energy storage system and the discharging power ess of the energy storage system, the generated power Pg when the power balance judgment formula F is less than or equal to pg+esc+ess is set as the balance power, the real-time load refers to the sum of electric energy powers required by the load equipment of the micro-grid power circuit, and if the condition of the power balance judgment formula is not met, the generated power Pg meeting the minimum value of the real-time load F is set as the balance power.
Specifically, the electric energy storage management unit compares the real-time generated power C with the real-time discharge power D of the energy storage system with the real-time load F, and manages the micro-grid power generation according to the comparison result, wherein:
when C+D is more than or equal to alpha multiplied by F, the electric energy storage management unit pauses the micro-grid to generate electricity;
when F is more than C+D is less than alpha multiplied by F, the electric energy storage management unit generates power by the micro-grid with the current power generation power;
when C+D is less than or equal to F, the electric energy storage management unit increases the micro-grid power Pg, the increased micro-grid power is Pg1, and Pg1=F- (Esc+D) is set.
In particular, the real-time power generation power refers to the real-time power generation power generated by the micro-grid, the embodiment does not limit the acquisition mode of the real-time power generation power, and the skilled person can freely set the real-time power generation device only needs to meet the real-time acquisition requirement of the power generation power, for example, the real-time power generation power can be acquired through a power sensor, the method for acquiring the real-time discharge power of the energy storage system is not limited, and a person skilled in the art can freely set the method, and only needs to meet the real-time acquisition requirement of the real-time discharge power of the energy storage system, if the method can set the method for acquiring the real-time discharge power of the energy storage system through a power sensor, alpha is a preset real-time load proportionality coefficient, alpha is more than or equal to 1.5 and less than 1.7, and the preferred value of the preset real-time load proportionality coefficient alpha in the embodiment is 1.6.
Specifically, the cogeneration management unit compares the real-time heat energy demand B with the real-time waste heat energy total Q, and performs cogeneration management according to the comparison result, wherein:
when B is less than or equal to Q, the cogeneration management unit judges that the real-time waste heat energy is sufficient, supplies the real-time waste heat energy to a heat energy consumption end, and inputs the residual real-time waste heat energy into a heat storage system for storage;
and when B is more than Q, the cogeneration management unit judges that the real-time waste heat energy is insufficient and supplies the real-time waste heat energy and the heat energy in the heat storage system to the heat energy consumption end.
Specifically, the residual real-time waste heat energy refers to real-time waste heat energy of which the total amount is left after being supplied to the heat energy consuming end.
Specifically, the cogeneration management unit compensates a microgrid power generation management process according to a cogeneration management result, wherein:
if the real-time waste heat energy is sufficient, the cogeneration management unit calculates a compensation coefficient Ba according to the real-time heat energy demand B and the real-time waste heat energy total quantity Q, and sets Ba=0.6xe −0.02×(Q-B) +0.4×[0.002×(Q-B)+0.75]E is a natural logarithm base, the cogeneration management unit compensates a preset real-time load proportionality coefficient alpha according to a compensation coefficient Ba, the compensated preset real-time load proportionality coefficient is alpha 1, and alpha 1 = Ba x alpha is set;
If the real-time waste heat energy is insufficient, the cogeneration management unit calculates a compensation coefficient Ba according to the real-time heat energy demand B and the real-time waste heat energy total quantity Q, and sets Ba=7.7X [1-e ] −0.05×(B-Q) ]+0.3×[0.01×(B-Q)+1.05]The cogeneration management unit compensates the real-time load F according to the compensation coefficient Ba, wherein the real-time load after compensation is F1, f1=ba×f is set.
Specifically, the thermal energy storage management unit compares the stored thermal energy R with each preset stored thermal energy, and performs thermal energy storage management according to the comparison result, wherein:
when R is smaller than R1, the thermal energy storage management unit judges that the thermal energy is not stored enough;
when R1 is less than or equal to R2, the thermal energy storage management unit judges that thermal energy storage is normal;
when R is less than or equal to R2, the thermal energy storage management unit judges that the thermal energy storage is sufficient;
r1 is a first preset stored thermal energy, R2 is a second preset stored thermal energy, and R1 is more than 0 and less than R2.
Specifically, the first preset stored thermal energy R1 and the second preset stored thermal energy R2 are determined by the rated heat storage capacity Rr of the heat storage system, such as r1=0.3×rr, r2=0.7×rr.
Specifically, the thermal energy storage management unit adjusts the cogeneration management process according to a thermal energy storage management result, wherein:
If the thermal energy storage is insufficient, the thermal energy storage management unit calculates an adjustment coefficient ra according to the stored thermal energy R, and sets ra=0.6X0.9Xe −0.5×(R-R1) ]+0.4×[0.1×(R-R1)+0.9]The thermal energy storage management unit adjusts the total quantity Q of the real-time waste heat energy according to the adjustment coefficient ra, the adjusted total quantity Q of the real-time waste heat energy is Qr, and qr=ra×Q is set;
if the heat energy storage is normal, the heat energy storage management unit does not adjust the cogeneration management process;
if the thermal energy storage is sufficient, the thermal energy storage management unit calculates an adjustment coefficient ra from the stored thermal energy R, sets ra=0.7x [1.2 x (1-e) −0.2×(R2-R) )]+0.3×[0.01×(R2-R) 2 +0.2×R+0.9]The thermal energy storage management unit adjusts the total real-time waste heat energy Q according to the adjustment coefficient ra, the adjusted total real-time waste heat energy is Qr, and qr=ra×Q is set.
Specifically, the thermal energy storage management unit adjusts the cogeneration management process when the thermal energy storage is insufficient and the thermal energy storage is sufficient, so as to improve the accuracy of the cogeneration management, thereby further improving the thermal energy management efficiency of the micro-grid.
Please refer to fig. 4, which is a schematic structural diagram of an optimization feedback module according to the present embodiment, wherein the optimization feedback module includes:
the efficiency feedback unit is used for calculating the energy utilization rate according to the effective heat energy and feeding back management efficiency according to the energy utilization rate;
And the efficiency optimizing unit is used for optimizing the thermal energy management process when the management efficiency is low, and is connected with the efficiency feedback unit.
Specifically, the efficiency feedback unit calculates effective heat energy Y, sets y=vv+rv, vv as a total amount of heat energy supply, rv as stored heat energy in a last preset unit period of a feedback period, calculates an energy utilization ratio S according to the effective heat energy Y, sets s=y/Qv, qv as a total amount of waste heat energy, compares the energy utilization ratio S with a preset energy utilization ratio S0, and feeds back management efficiency according to a comparison result, wherein:
when S is less than or equal to S0, the efficiency feedback unit judges that the management efficiency is low;
when S > S0, the efficiency feedback unit judges that the management efficiency is high.
Specifically, the total amount of thermal energy supply is the integral of the real-time thermal energy supply over the duration of the feedback period, the embodiment does not limit the manner of obtaining the real-time thermal energy supply, a person skilled in the art can freely set the method, only needs to meet the requirement of obtaining the real-time thermal energy supply, how to set the method to obtain the real-time thermal energy supply through a thermal energy meter installed at the inlet of the thermal energy consumption end, the feedback period refers to the period of feeding back the thermal energy management efficiency, if the feedback period can be set to one month, at this time, the total amount of thermal energy supply is the integral of the real-time thermal energy supply over the duration of the one month, the total amount of thermal energy supply generated in the one month is represented, the stored thermal energy in the last preset unit period of the feedback period is the stored thermal energy in the last preset unit period of the one month, the total amount of waste thermal energy is the integral of the real-time waste thermal energy over the duration of the feedback period, the preset energy utilization ratio is within the range of 0.7 and S0 < 1, and the preferred value of the preset energy utilization ratio S0 in the embodiment is 0.8.
Specifically, the efficiency feedback unit calculates the energy utilization rate according to the effective heat energy, and judges that the management efficiency is low when the energy utilization rate is smaller than the preset energy utilization rate, so as to feed back the heat energy management efficiency, thereby facilitating the follow-up optimization measures and further improving the heat energy management efficiency of the micro-grid.
Specifically, the efficiency optimizing unit optimizes the thermal energy management process when the management efficiency is low, calculates an optimization coefficient sa from the energy utilization rate S, and sets sa=0.6× [1.3×log (1.1× (S0-S))]+0.4×[0.02×（S0-S） 2 +0.3×（S0-S）+1.1]The efficiency optimizing unit optimizes rated heat storage capacity Rr of the heat storage system according to an optimizing coefficient sa, the rated heat storage capacity of the optimized heat storage system is Rrs, rrs=sa×Rr is set, and the efficiency optimizing unit expands the capacity of the optimized heat storage system according to the rated heat storage capacity of the optimized heat storage system.
It can be understood that the capacity expansion mode of the heat storage system is not limited in this embodiment, and a person skilled in the art can freely set the heat storage system, and only needs to meet the capacity expansion requirement of the heat storage system, for example, a new heat storage device with larger capacity can be set and installed.
Specifically, the efficiency optimizing unit expands the capacity of the heat storage system when the management efficiency is low so as to improve the heat storage capacity of the heat storage system, reduce heat loss, increase the capacity for heat storage and further improve the heat energy management efficiency of the micro-grid.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
Claims (2)
1. A micro-grid-based thermal energy management system, comprising:
the information acquisition module is used for acquiring electric energy information and heat energy information;
the information analysis module is used for carrying out heat energy demand analysis according to the heat energy information to obtain real-time heat energy demand, and carrying out heat energy supply analysis according to the heat energy information to obtain real-time waste heat energy total amount;
the heat energy judging module is used for judging the heat energy state of the micro-grid according to the heat energy supply analysis result and carrying out heat energy abnormality warning when the heat energy state of the micro-grid is abnormal;
the thermal energy management module is used for carrying out electric energy storage management according to the electricity consumption period in the electric energy information and carrying out micro-grid power generation management according to the real-time load when the micro-grid thermal energy state is normal, carrying out cogeneration management according to the real-time thermal energy demand and the real-time waste thermal energy total amount, carrying out thermal energy storage management according to the stored thermal energy, compensating the micro-grid power generation management process according to the thermal energy cogeneration management result, and regulating the cogeneration management process according to the thermal energy storage management result;
The feedback optimization module is used for calculating the energy utilization rate according to the effective heat energy, feeding back the management efficiency according to the energy utilization rate, and optimizing the heat energy management process according to the management efficiency;
the information analysis module is provided with a heat energy supply analysis unit for carrying out heat energy supply analysis according to heat energy information to obtain real-time waste heat energy total quantity, the heat energy supply analysis unit is provided with a heat flow formula i=m×Cp×DeltaT, the heat energy supply analysis unit inputs waste heat emission parameters into the data acquisition and monitoring SCADA system, the heat flow formula is utilized to calculate the heat flow of the waste gas, and the information analysis module integrates the heat flow of the waste gas in each preset unit time period to obtain real-time waste heat energy total quantity Q in the preset unit time period;
m is the mass flow of the exhaust gas in kilograms per second, measured by a flow sensor, cp is the constant pressure specific heat capacity of the exhaust gas in joules/(kilograms of kelvin), representing the amount of heat required for a temperature increase of 1 kelvin per mass of the exhaust gas under constant pressure conditions, which usually requires look-up tables or calculations based on the composition and temperature range of the exhaust gas, Δt is the temperature difference between the exhaust gas and a reference temperature in kelvin;
The heat energy judging module compares the real-time total waste heat energy Q with preset waste heat energy Q0 and judges the heat energy state of the micro-grid according to the comparison result, wherein:
when Q is less than or equal to Q0, the heat energy judging module judges that the micro-grid heat energy state is normal;
when Q is more than Q0, the heat energy judging module judges that the heat energy state of the micro-grid is abnormal, carries out heat energy abnormality warning, and pauses the micro-grid to generate electricity through the micro-grid controller;
the heat energy management module is provided with an electric energy storage management unit for carrying out electric energy storage management according to the electricity consumption time period, and the electric energy storage management unit carries out electric energy storage management according to the electricity consumption time period when the micro-grid heat energy state is normal, wherein:
when the electricity consumption period is the electricity consumption low-peak period, the electric energy storage management unit sets the generated power as balance power to supply power to the electricity consumption circuit and charges the energy storage system;
when the electricity consumption period is the electricity consumption peak period, the electric energy storage management unit sets the generated power as balance power to supply power to the electricity consumption circuit, and discharges the electricity consumption circuit through the energy storage system;
the balance power refers to a micro-grid power generation power balance value with minimum waste heat generation;
The electric energy storage management unit sets balance power according to a real-time load F, power generation power Pg, energy storage system charging power Esc and energy storage system discharging power Esd, the power generation power Pg when a power balance judgment formula F is less than or equal to Pg+Esc+Esd is set as balance power, the real-time load refers to the sum of electric energy power required by the micro-grid power utilization circuit load equipment, and if the condition of the power balance judgment formula is not met, the power generation power Pg meeting the minimum value of the real-time load F is set as balance power;
the thermal energy management module is provided with an electric energy storage management unit for carrying out micro-grid power generation management according to the real-time load, the electric energy storage management unit compares the real-time power generation power C with the real-time discharging power D of the energy storage system with the real-time load F and manages the micro-grid power generation according to the comparison result, wherein:
when C+D is more than or equal to alpha multiplied by F, the electric energy storage management unit pauses the micro-grid to generate electricity;
when F is more than C+D is less than alpha multiplied by F, the electric energy storage management unit generates power by the micro-grid with the current power generation power;
when C+D is less than or equal to F, the electric energy storage management unit increases the micro-grid power Pg, the increased micro-grid power is Pg1, and Pg1=F- (Esc+D) is set;
Alpha is a preset real-time load proportion coefficient, and alpha is more than or equal to 1.5 and less than 1.7;
the heat energy management module is provided with a cogeneration management unit for performing cogeneration management according to the real-time heat energy demand and the total real-time waste heat energy, and compensating the micro-grid power generation management process according to the result of the cogeneration management, wherein the cogeneration management unit compares the real-time heat energy demand B with the total real-time waste heat energy Q and performs cogeneration management according to the comparison result, and the heat energy management unit comprises the following components:
when B is less than or equal to Q, the cogeneration management unit judges that the real-time waste heat energy is sufficient, supplies the real-time waste heat energy to a heat energy consumption end, and inputs the residual real-time waste heat energy into a heat storage system for storage;
when B is more than Q, the cogeneration management unit judges that the real-time waste heat energy is insufficient, and supplies the real-time waste heat energy and the heat energy in the heat storage system to the heat energy consumption end;
the cogeneration management unit compensates the micro-grid power generation management process according to the cogeneration management result, wherein:
if the real-time waste heat energy is sufficient, the cogeneration management unit calculates a compensation coefficient Ba according to the real-time heat energy demand B and the real-time waste heat energy total quantity Q, and sets Ba=0.6xe −0.02×(Q-B) +0.4×[0.002×(Q-B)+0.75]E is self-containedThe heat and power cogeneration management unit compensates a preset real-time load proportion coefficient alpha according to a compensation coefficient Ba, wherein the compensated preset real-time load proportion coefficient is alpha 1, and alpha 1 = Ba x alpha is set;
if the real-time waste heat energy is insufficient, the cogeneration management unit calculates a compensation coefficient Ba according to the real-time heat energy demand B and the real-time waste heat energy total quantity Q, and sets Ba=7.7X [1-e ] −0.05×(B-Q) ]+0.3×[0.01×(B-Q)+1.05]The cogeneration management unit compensates the real-time load F according to the compensation coefficient Ba, wherein the compensated real-time load is F1, and F1=Ba×F is set;
the heat energy management module is provided with a heat energy storage management unit for carrying out heat energy storage management according to stored heat energy, and is also used for adjusting a cogeneration management process according to a heat energy storage management result, and the heat energy storage management unit compares the stored heat energy R with each preset stored heat energy and carries out heat energy storage management according to a comparison result pair, wherein:
when R is smaller than R1, the thermal energy storage management unit judges that the thermal energy is not stored enough;
when R1 is less than or equal to R2, the thermal energy storage management unit judges that thermal energy storage is normal;
when R is less than or equal to R2, the thermal energy storage management unit judges that the thermal energy storage is sufficient;
R1 is a first preset stored thermal energy, R2 is a second preset stored thermal energy, R1 is more than 0 and less than R2;
the heat energy storage management unit adjusts the cogeneration management process according to the heat energy storage management result, wherein:
if the thermal energy storage is insufficient, the thermal energy storage management unit calculates an adjustment coefficient ra according to the stored thermal energy R, and sets ra=0.6X0.9Xe −0.5×(R-R1) ]+0.4×[0.1×(R-R1)+0.9]The thermal energy storage management unit adjusts the total quantity Q of the real-time waste heat energy according to the adjustment coefficient ra, the adjusted total quantity Q of the real-time waste heat energy is Qr, and qr=ra×Q is set;
if the heat energy storage is normal, the heat energy storage management unit does not adjust the cogeneration management process;
if the thermal energy storage is sufficient, the thermal energy storage management unit calculates an adjustment coefficient ra from the stored thermal energy R, sets ra=0.7x [1.2 x (1-e) −0.2×(R2-R) )]+0.3×[0.01×(R2-R) 2 +0.2×R+0.9]The thermal energy storage management unit adjusts the total quantity Q of the real-time waste heat energy according to the adjustment coefficient ra, the adjusted total quantity Q of the real-time waste heat energy is Qr, and qr=ra×Q is set;
the feedback optimization module is provided with an efficiency feedback unit for calculating the energy utilization rate according to the effective heat energy and feeding back the management efficiency according to the energy utilization rate, wherein the efficiency feedback unit calculates the effective heat energy Y, sets Y=vv+rv, wherein Vv is the total heat energy supply amount, rv is the stored heat energy in the last preset unit period of the feedback period, the efficiency feedback unit calculates the energy utilization rate S according to the effective heat energy Y, sets S=Y/Qv, and Qv is the total waste heat energy amount, and compares the energy utilization rate S with the preset energy utilization rate S0 and feeds back the management efficiency according to the comparison result, wherein:
When S is less than or equal to S0, the efficiency feedback unit judges that the management efficiency is low;
when S is more than S0, the efficiency feedback unit judges that the management efficiency is high;
the feedback optimization module is provided with an efficiency optimization unit for optimizing the thermal energy management process when the management efficiency is low, the efficiency optimization unit optimizes the thermal energy management process when the management efficiency is low, calculates an optimization coefficient sa according to the energy utilization rate S, and sets sa=0.6x [1.3 x log (1.1 x (S0-S))]+0.4×[0.02×（S0-S） 2 +0.3×（S0-S）+1.1]The efficiency optimizing unit optimizes rated heat storage capacity Rr of the heat storage system according to an optimizing coefficient sa, the rated heat storage capacity of the optimized heat storage system is Rrs, rrs=sa×Rr is set, and the efficiency optimizing unit expands the capacity of the optimized heat storage system according to the rated heat storage capacity of the optimized heat storage system.
2. The micro grid-based thermal management system according to claim 1, wherein the information analysis module is provided with a thermal demand analysis unit for performing thermal demand analysis according to thermal information to obtain real-time thermal demand, and the thermal demand analysis unit calculates real-time thermal demand B according to heating thermal demand G, hot water thermal demand H, and historical thermal demand Ba of a preset unit period in a preset analysis period to perform thermal demand analysis, and sets b=0.5× (g+h) + O.5 ×ba.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311798774.9A CN117455422B (en) | 2023-12-26 | 2023-12-26 | Thermal energy management system based on micro-grid |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311798774.9A CN117455422B (en) | 2023-12-26 | 2023-12-26 | Thermal energy management system based on micro-grid |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117455422A CN117455422A (en) | 2024-01-26 |
| CN117455422B true CN117455422B (en) | 2024-03-08 |
Family
ID=89580397
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311798774.9A Active CN117455422B (en) | 2023-12-26 | 2023-12-26 | Thermal energy management system based on micro-grid |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117455422B (en) |
Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014017688A1 (en) * | 2012-07-26 | 2014-01-30 | 한국전력공사 | Integrated energy and fresh water supply device using microgrid |
| CN105337303A (en) * | 2015-09-22 | 2016-02-17 | 贵州电网有限责任公司电网规划研究中心 | Capacity optimization configuration method for combined heat and power generation micro grid containing heat pump |
| WO2018133230A1 (en) * | 2017-01-17 | 2018-07-26 | 珠海格力电器股份有限公司 | Control method and apparatus for micro-grid system |
| CN108988356A (en) * | 2018-07-03 | 2018-12-11 | 上海交通大学 | Electric heating microgrid interconnection tie power fluctuation based on virtual energy storage stabilizes method |
| KR101972830B1 (en) * | 2017-11-14 | 2019-04-26 | 동신대학교 산학협력단 | Thermoelectric composite grid system with Photovoltaic Thermal and its operation method |
| CN109962476A (en) * | 2019-02-01 | 2019-07-02 | 中国电力科学研究院有限公司 | Source net lotus storage interaction energy management method and device in a kind of micro-capacitance sensor |
| CN110086181A (en) * | 2019-05-31 | 2019-08-02 | 浙江大学 | Power adaptive cooperative control method in electric-thermal alliance micro-capacitance sensor when a kind of off-grid operation |
| CN111030182A (en) * | 2019-12-27 | 2020-04-17 | 郑州众智科技股份有限公司 | Micro-grid electric energy monitoring system |
| CN112994085A (en) * | 2021-02-05 | 2021-06-18 | 中南大学 | Micro-grid energy storage optimization scheduling method based on sparrow search algorithm |
| KR20210086541A (en) * | 2019-12-30 | 2021-07-08 | 주식회사 금영이엔지 | Cogeneration system remotely controlled by the complex grid EMS platform |
| WO2022018680A1 (en) * | 2020-07-22 | 2022-01-27 | U Energy Ltd | Micro-grid, energy management system and method |
| CN114792974A (en) * | 2022-04-26 | 2022-07-26 | 南京邮电大学 | Method and system for energy optimization management of interconnected micro-grid |
| CN115860413A (en) * | 2022-12-23 | 2023-03-28 | 南昌大学 | Grid-connected combined cooling heating and power micro-grid system economic scheduling method based on load demand response and double-layer adjustable robust optimization |
| CN115952974A (en) * | 2022-12-08 | 2023-04-11 | 国网重庆市电力公司长寿供电分公司 | Industrial park heat-electricity-storage multi-energy interconnection management system containing cement plant |
| CN116780637A (en) * | 2023-08-18 | 2023-09-19 | 山东赛马力发电设备有限公司 | Distributed energy management system and method |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| BR112015011248A2 (en) * | 2012-11-15 | 2017-12-19 | Lee Friesth Kevin | hybrid trigeneration-based micrograde system combined with cooling, heating and power supply heating, cooling, power generation and energy storage using an integrated automation system for monitoring, analysis and control. |
| AU2013397866A1 (en) * | 2013-08-13 | 2016-03-03 | Accenture Global Services Limited | System, method and apparatus for integrated multi-energy scheduling in a micro-grid and a tangible computer readable medium |
| US20150094871A1 (en) * | 2013-09-27 | 2015-04-02 | International Business Machines Corporation | Managing devices in micro-grids |
| US10290064B2 (en) * | 2014-10-21 | 2019-05-14 | Accenture Global Services Limited | System, method and apparatus for capacity determination for micro grid and tangible computer readable medium |
| US20210325069A1 (en) * | 2020-04-17 | 2021-10-21 | Mcmaster University | Integrated community energy and harvesting system |
-
2023
- 2023-12-26 CN CN202311798774.9A patent/CN117455422B/en active Active
Patent Citations (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014017688A1 (en) * | 2012-07-26 | 2014-01-30 | 한국전력공사 | Integrated energy and fresh water supply device using microgrid |
| CN105337303A (en) * | 2015-09-22 | 2016-02-17 | 贵州电网有限责任公司电网规划研究中心 | Capacity optimization configuration method for combined heat and power generation micro grid containing heat pump |
| WO2018133230A1 (en) * | 2017-01-17 | 2018-07-26 | 珠海格力电器股份有限公司 | Control method and apparatus for micro-grid system |
| KR101972830B1 (en) * | 2017-11-14 | 2019-04-26 | 동신대학교 산학협력단 | Thermoelectric composite grid system with Photovoltaic Thermal and its operation method |
| CN108988356A (en) * | 2018-07-03 | 2018-12-11 | 上海交通大学 | Electric heating microgrid interconnection tie power fluctuation based on virtual energy storage stabilizes method |
| CN109962476A (en) * | 2019-02-01 | 2019-07-02 | 中国电力科学研究院有限公司 | Source net lotus storage interaction energy management method and device in a kind of micro-capacitance sensor |
| CN110086181A (en) * | 2019-05-31 | 2019-08-02 | 浙江大学 | Power adaptive cooperative control method in electric-thermal alliance micro-capacitance sensor when a kind of off-grid operation |
| CN111030182A (en) * | 2019-12-27 | 2020-04-17 | 郑州众智科技股份有限公司 | Micro-grid electric energy monitoring system |
| KR20210086541A (en) * | 2019-12-30 | 2021-07-08 | 주식회사 금영이엔지 | Cogeneration system remotely controlled by the complex grid EMS platform |
| WO2022018680A1 (en) * | 2020-07-22 | 2022-01-27 | U Energy Ltd | Micro-grid, energy management system and method |
| CN112994085A (en) * | 2021-02-05 | 2021-06-18 | 中南大学 | Micro-grid energy storage optimization scheduling method based on sparrow search algorithm |
| CN114792974A (en) * | 2022-04-26 | 2022-07-26 | 南京邮电大学 | Method and system for energy optimization management of interconnected micro-grid |
| CN115952974A (en) * | 2022-12-08 | 2023-04-11 | 国网重庆市电力公司长寿供电分公司 | Industrial park heat-electricity-storage multi-energy interconnection management system containing cement plant |
| CN115860413A (en) * | 2022-12-23 | 2023-03-28 | 南昌大学 | Grid-connected combined cooling heating and power micro-grid system economic scheduling method based on load demand response and double-layer adjustable robust optimization |
| CN116780637A (en) * | 2023-08-18 | 2023-09-19 | 山东赛马力发电设备有限公司 | Distributed energy management system and method |
Non-Patent Citations (1)
| Title |
|---|
| 基于需求响应的区域微电网优化调度;徐斌;徐斌;刘红新;马骏;丁倩;;电力科学与技术学报;20180328(01);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117455422A (en) | 2024-01-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN101374978B (en) | Optimizing photovoltaic-electrolyzer efficiency | |
| US20070119718A1 (en) | Optimizing photovoltaic-electrolyzer efficiency | |
| CN113112087A (en) | Comprehensive energy system operation cost optimization method considering electric heating load demand response | |
| KR20060108237A (en) | Methods and apparatus for controlled solid oxide fuel cell(sofc)/turbine hybrid power generation | |
| EP1511108B1 (en) | Cogeneration system, operation controller for cogeneration facility, and operation program for cogeneration facility | |
| JP3801910B2 (en) | Fuel cell system control method | |
| CN115663871B (en) | Flow power station control system and method | |
| KR20180070077A (en) | Multi-sensor based MTTP interworking control system for solar charge controller of energy storage system | |
| CN117455422B (en) | Thermal energy management system based on micro-grid | |
| CN113453088B (en) | Emergency combined backup power supply integrated equipment for communication base station | |
| CN114759599A (en) | Photo-hydrogen fuel cell cogeneration system, capacity allocation method, and medium | |
| Mohamed et al. | Modelling and environmental/economic power dispatch of microgrid using multiobjective genetic algorithm optimization | |
| JPH08251827A (en) | Combined cycle power generation system | |
| US20170279281A1 (en) | Power generation assembly, management system and method | |
| JP7159444B2 (en) | Photovoltaic power generation system and its control method | |
| CN115498223B (en) | Hydrogen supply control method and system for fuel cell | |
| CN109687504B (en) | Micro-grid energy optimization distribution method based on source-load balance | |
| KR102353401B1 (en) | Peak power control system and control method thereof | |
| JP2003092831A (en) | Power supply system and its operation method | |
| KR20190038093A (en) | Frequency control system | |
| CN109709909B (en) | Control method and device for cogeneration equipment in hybrid energy system | |
| CN110130992A (en) | Energy-storage generating apparatus, method and system based on air-powered motor | |
| CN115693744B (en) | Liquid flow energy storage control system and method | |
| JP2021057180A (en) | Power supply system | |
| KR20200076041A (en) | Electric power trading system between electric power system and district heating system, and electric power trading method using the same |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |