CN110879547A - Complementary garden comprehensive energy supply system of multipotency - Google Patents
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- 230000000295 complement effect Effects 0.000 title claims abstract description 19
- 238000010248 power generation Methods 0.000 claims abstract description 74
- 230000005611 electricity Effects 0.000 claims abstract description 24
- 238000005265 energy consumption Methods 0.000 claims abstract description 11
- 238000013486 operation strategy Methods 0.000 claims abstract description 8
- 238000012544 monitoring process Methods 0.000 claims description 31
- 238000005457 optimization Methods 0.000 claims description 19
- 239000007789 gas Substances 0.000 claims description 17
- AMXOYNBUYSYVKV-UHFFFAOYSA-M lithium bromide Chemical group [Li+].[Br-] AMXOYNBUYSYVKV-UHFFFAOYSA-M 0.000 claims description 14
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims description 11
- 239000002918 waste heat Substances 0.000 claims description 11
- 238000004146 energy storage Methods 0.000 claims description 9
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- 238000013135 deep learning Methods 0.000 claims description 5
- 239000003345 natural gas Substances 0.000 claims description 5
- 238000004458 analytical method Methods 0.000 claims description 4
- 238000011217 control strategy Methods 0.000 claims description 4
- 238000007726 management method Methods 0.000 description 35
- 238000005057 refrigeration Methods 0.000 description 8
- 238000000034 method Methods 0.000 description 3
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- UGFAIRIUMAVXCW-UHFFFAOYSA-N Carbon monoxide Chemical compound [O+]#[C-] UGFAIRIUMAVXCW-UHFFFAOYSA-N 0.000 description 1
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0423—Input/output
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/25—Pc structure of the system
- G05B2219/25257—Microcontroller
Abstract
The invention discloses a multi-energy complementary park comprehensive energy supply system, which comprises an energy supply system, an energy information system and an energy charge settlement system, wherein the energy supply system comprises a central control system and a central control system; the energy supply system comprises a multi-energy station, a distributed photovoltaic power generation system, a distributed wind power generation system and an intelligent energy charging pile, and is used for supplying facility power in a park; the energy information system comprises a micro meteorological station and an intelligent energy management platform, and is used for meteorological data observation, power generation data prediction and system operation strategy scheduling; the energy cost settlement system is used for calculating power generation data and power consumption data on the intelligent energy management platform and performing cost settlement on the power generation data and the power consumption data. The invention meets various load requirements of cold, heat, electricity, new energy charging and the like of the park, improves the stability of energy consumption of the park, enriches the diversification of energy consumption of the park, improves the expense and income of the park, improves the intelligence of information of the park and has wide market application range.
Description
Technical Field
The invention relates to the technical field of energy supply equipment, in particular to a multi-energy complementary park comprehensive energy supply system.
Background
The existing industrial park or industrial park energy supply system mainly depends on electric energy, and various energy using requirements of users are directly met through consumption of the electric energy. If the electric refrigeration air conditioner obtains cold air, the refrigeration effect is realized; heat is obtained in winter by a heating mode of the cold and hot two-phase air conditioner to maintain indoor temperature. In the traditional energy utilization mode, the requirement of energy is excessively attached to electric energy, and coal-fired power generation from a large power grid or large natural gas generator set electric energy is taken as the main power. This energy usage pattern for industrial parks or parks has several disadvantages:
firstly, the power supply of a large power grid is excessively relied on, and when a certain transmission link of the power grid fails, large-area power failure is easily caused, so that the energy utilization requirement of a user is influenced;
the electric energy belongs to high-grade energy, is directly used for refrigeration or heating, and is converted into low-grade heat energy or cold energy, so that the grade of the energy is reduced;
coal-fired electric energy or large-scale natural gas unit electric energy needs to be transmitted in a long distance, line loss exists in the long-distance transmission process, and meanwhile, the long-distance transmission cost is high;
fourthly, the large consumption of fossil energy such as coal easily causes the problem of environmental pollution;
and fifthly, the energy utilization system which takes the electric energy as single energy source input has lower energy utilization reliability.
When satisfying the refrigeration of industry garden or heating and power consumption demand, current technique is considered from single energy demand angle more, lacks energy cascade utilization and with the energy wholeness planning for whole energy supply system's energy utilization efficiency is low, with can with high costs, single energy supply channel makes whole energy system weak to emergency's ability of defending simultaneously, with can not high reliability.
Compared with an energy utilization mode considered from the perspective of single energy demand, the comprehensive energy system mode realizes the collaborative planning of various energy demands such as cold and hot electricity and the like of an industrial park or an industrial park at the initial stage of energy utilization planning, and can configure energy supply forms with equivalent energy grades according to the grades of different energy demand forms so as to meet the demands. For example, when the refrigeration requirement in summer of an industrial park or an industrial park is met, the traditional energy supply mode is that the refrigeration air conditioner is driven by electric energy, a compressor part of the refrigeration air conditioner is driven by the electric energy and is matched with an evaporator to obtain cold energy, and high-grade electric energy is directly converted into low-grade air cold energy in an energy form. If from comprehensive energy system angle, when satisfying the refrigeration demand in industry garden or industry garden, can adopt the lithium bromide refrigerating unit to low parameter, the steam of low energy grade drive the lithium bromide unit and obtain the air conditioner refrigerated water, and then realize the energy supply demand to industry garden or industry garden. Compared with the prior art, when different technical means are adopted to meet the same energy utilization requirement, the consumed input energy has different grades, and the energy comprehensive utilization efficiency of the whole energy utilization system also has different levels.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a multifunctional complementary park comprehensive energy supply system, which can meet various load requirements of cold, heat, electricity, new energy charging and the like of a park after being used, improve the stability of energy consumption of the park, enrich the diversification of energy consumption of the park and improve the charge and income of the park.
In order to solve the technical problems, the invention adopts the technical scheme that:
providing a multi-energy complementary park comprehensive energy supply system, which comprises an energy supply system, an energy information system and an energy charge settlement system;
the energy supply system comprises a multi-energy station, a distributed photovoltaic power generation system, a distributed wind power generation system and an intelligent energy charging pile, and is used for supplying facility power in a park;
the energy information system comprises a micro meteorological station and an intelligent energy management platform, and is used for meteorological data observation, power generation data prediction and system operation strategy scheduling;
the energy cost settlement system is used for calculating power generation data and power consumption data on the intelligent energy management platform and performing cost settlement on the power generation data and the power consumption data.
In order to solve the technical problem, the invention adopts the further technical scheme that:
further say, the multipotency energy station includes miniature gas turbine unit, waste heat lithium bromide unit, energy storage battery group, miniature photovoltaic power generation group and switch board, miniature gas turbine unit connection has the pressure unit, miniature gas turbine unit passes through the three-way valve intercommunication waste heat lithium bromide unit, waste heat lithium bromide unit output cold and hot load is used for cold, the heat load demand of garden office building, miniature gas turbine unit energy storage battery group with miniature photovoltaic power generation group all with the switch board electricity is connected, switch board output voltage load is used for garden office building supply electric power.
Furthermore, the distributed photovoltaic power generation system and the distributed wind power generation system are electrically connected with the power distribution cabinet, and the distributed photovoltaic power generation system and the distributed wind power generation system are arranged on the roof of a park workshop and used for supplying electric energy to the infrastructure of the park.
Further say, the stake of wisdom energy charging with the switch board electricity is connected, the stake of wisdom energy charging sets up in the park parking area for the new energy automobile in park charges.
Furthermore, the micro meteorological station is used for collecting meteorological parameters such as wind speed, wind direction, temperature, irradiation intensity and humidity, and storing the meteorological parameters into the intelligent energy management platform so that the energy information system can predict the generated electricity quantity and schedule the operation strategy.
Furthermore, the intelligent energy management platform comprises a local data monitoring module, a camera monitoring module, a WEB interface display module and an energy management module;
the local data monitoring module comprises an engineer station, an operator station, a database, a server, an on-site PLC (programmable logic controller), a wireless transmission device and an on-site data acquisition device which are matched for use, and is used for data monitoring, control strategy, load management, energy consumption analysis, historical data query and energy charging bill generation;
the camera monitoring module is used for acquiring real-time scenes of a park and checking an interface through local equipment or a remote network;
the WEB interface display module is used for transmitting local data to the cloud server, and a user remotely inquires the operating state of the intelligent energy management platform through a mobile phone terminal and a computer terminal by means of a wireless bridge, a wireless transponder and a wireless gateway;
the energy management module predicts loads of photovoltaic power generation, wind power generation and park power utilization by reading historical data in a database and adopting a deep learning network algorithm, stores the prediction result into the database, establishes an optimization model target function and constraint conditions of the intelligent energy management platform according to the prediction result, adopts an evolutionary algorithm to carry out optimization, transmits the optimization result to the local data monitoring module, and uses the optimization result as a target value of a scheduling instruction.
Further, the energy cost settlement system performs cost settlement on the energy cost income and the energy cost expenditure of the park through the intelligent energy management platform.
Further, the energy cost income comprises distributed photovoltaic power generation income, distributed wind power generation income, multi-energy station power generation income, cooling/heating supply income and smart energy charging pile charging income.
Further, the energy expenditure comprises the expenditure of charging of the multi-energy station, the expenditure of natural gas and the expenditure of electricity consumed by the intelligent energy charging pile.
Further, the energy charge settlement formula a is as follows,
energy cost = energy cost income-energy cost expenditure equation a.
The invention has the beneficial effects that:
the method can provide an effective solution for the comprehensive energy supply of the park, meet various load requirements of the park such as cold, heat, electricity, new energy charging and the like, improve the stability of energy consumption of the park, enrich the diversification of the energy consumption of the park and improve the expense and income of the park;
secondly, the intelligent energy management platform comprises a local data monitoring module, a camera monitoring module, a WEB interface display module and an energy management module, wherein the local data monitoring module is used for monitoring data, controlling strategies, managing loads, analyzing energy consumption, inquiring historical data and generating energy charging bills, the camera monitoring module is used for collecting real-time scenes of a park and checking the scenes through a local device or a remote network, the WEB interface display module is used for transmitting the local data to a cloud server, a user remotely inquires the running state of the intelligent energy management platform through a mobile phone terminal and a computer terminal, the energy management module predicts the loads of photovoltaic power generation, wind power generation and park intelligent power utilization by reading the historical data in a database and adopting a deep learning network algorithm, and establishes an optimization model objective function and constraint conditions of the intelligent energy management platform according to the prediction result, optimizing by adopting an evolutionary algorithm, transmitting an optimization result to a local data monitoring module, and using the optimization result as a target value of a scheduling instruction, so that various functions of system remote monitoring, background scheduling optimization and the like are realized, and the intelligent degree of information of a park is improved;
the energy expense settlement system is used for calculating power generation data and power consumption data on the intelligent energy management platform, carrying out expense settlement on the power generation data and the power consumption data, and automatically generating a settlement report form through the energy management system, so that the workload of financial audit and settlement can be greatly reduced, and the financial and human cost expenditure can be reduced;
the intelligent energy station system integrates the energy station system in a multi-energy complementary mode, and simultaneously performs comprehensive energy service in a full life cycle in various modes such as digitalization, informatization and business mode, so that the information safety of users can be well guaranteed, and the operation information of intelligent energy can be remotely accessed through a WEB terminal, so that the intelligent energy station system has the characteristics of convenience and flexibility;
the intelligent energy resource station has a good application scene, is suitable for the construction of intelligent energy resource stations of industrial parks, and can apply the constituent elements of the intelligent energy resource to different application scenes of the industrial parks.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical solutions of the present invention more clearly understood and to implement them in accordance with the contents of the description, the following detailed description is given with reference to the preferred embodiments of the present invention and the accompanying drawings.
Drawings
FIG. 1 is a schematic flow diagram of a complementary multi-energy park energy supply system according to the present invention;
fig. 2 is a schematic diagram of a topology of an energy information system according to the present invention.
Detailed Description
The following description of the embodiments of the present invention is provided for illustrative purposes, and the present invention will be described in detail with reference to the accompanying drawings. The invention may be embodied in other different forms, i.e. it is capable of various modifications and changes without departing from the scope of the invention as disclosed.
Example 1
A multi-energy complementary park comprehensive energy supply system is shown in figures 1 and 2 and comprises an energy supply system, an energy information system and an energy charge settlement system;
the energy supply system comprises a multi-energy station, a distributed photovoltaic power generation system, a distributed wind power generation system and an intelligent energy charging pile, and is used for supplying facility power in a park;
the energy information system comprises a micro meteorological station and an intelligent energy management platform, and is used for meteorological data observation, power generation data prediction and system operation strategy scheduling;
the energy cost settlement system is used for calculating power generation data and power consumption data on the intelligent energy management platform and performing cost settlement on the power generation data and the power consumption data.
The multifunctional energy station comprises a micro gas turbine unit, a waste heat lithium bromide unit, an energy storage battery pack, a micro photovoltaic power generation unit and a power distribution cabinet, wherein the micro gas turbine unit is connected with a booster unit, the micro gas turbine unit is communicated with the waste heat lithium bromide unit through a three-way valve, cold and hot loads output by the waste heat lithium bromide unit are used for meeting the cold and hot load requirements of a park office building, the micro gas turbine unit, the energy storage battery pack and the micro photovoltaic power generation unit are all connected with the power distribution cabinet electrically, and the power distribution cabinet output voltage load is used for supplying power to the park office building.
The distributed photovoltaic power generation system with distributed wind power generation system all with the switch board electricity is connected, distributed photovoltaic power generation system with distributed wind power generation system all sets up in the roof of garden factory building for the infrastructure supply electric energy in garden.
The electric pile is filled to the wisdom energy with the switch board electricity is connected, the wisdom energy fills electric pile and sets up in the park parking area for the new energy automobile in park charges.
The micro meteorological station is used for collecting meteorological parameters such as wind speed, wind direction, temperature, irradiation intensity and humidity, and storing the meteorological parameters into the intelligent energy management platform so that the energy information system can predict the generated electricity quantity and schedule the operation strategy.
The intelligent energy management platform comprises a local data monitoring module, a camera monitoring module, a WEB interface display module and an energy management module;
the local data monitoring module comprises an engineer station, an operator station, a database, a server, an on-site PLC (programmable logic controller), a wireless transmission device and an on-site data acquisition device which are matched for use, and is used for data monitoring, control strategy, load management, energy consumption analysis, historical data query and energy charging bill generation;
the camera monitoring module is used for acquiring real-time scenes of a park and checking an interface through local equipment or a remote network;
the WEB interface display module is used for transmitting local data to the cloud server, and a user remotely inquires the operating state of the intelligent energy management platform through a mobile phone terminal and a computer terminal by means of a wireless bridge, a wireless transponder and a wireless gateway;
the energy management module predicts loads of photovoltaic power generation, wind power generation and park power utilization by reading historical data in a database and adopting a deep learning network algorithm, stores the prediction result into the database, establishes an optimization model target function and constraint conditions of the intelligent energy management platform according to the prediction result, adopts an evolutionary algorithm to carry out optimization, transmits the optimization result to the local data monitoring module, and uses the optimization result as a target value of a scheduling instruction.
The energy cost settlement system performs cost settlement on the energy cost income and the energy cost expenditure of the park through the intelligent energy management platform.
The energy cost income comprises distributed photovoltaic power generation income, distributed wind power generation income, multi-energy station power generation income, cooling/heating supply income and intelligent energy charging pile charging income.
The energy cost expenditure comprises the charging expenditure of the multi-energy station, the natural gas expenditure and the power consumption expenditure of the intelligent energy charging pile.
The settlement formula a of the energy costs is as follows,
energy cost = energy cost income-energy cost expenditure equation a.
Example 2
The invention relates to a park comprehensive energy supply system, which comprises: the system comprises 1 multi-energy station (65 kW micro gas turbine set, 108kWh/PCS 50kW energy storage battery pack and 600W micro photovoltaic power generation set), 219kW distributed photovoltaic power generation system, 2 300W distributed wind power generation system, micro meteorological station, intelligent energy charging pile and other system modules. Through the optimization of the energy management module, the comprehensive energy utilization efficiency of the energy can reach 87.9%, the energy saving rate can reach 27.4%, and the emission of CO2 is reduced by 52.7 tons every year.
Taking a month as an example, the energy cost settlement is as follows:
energy cost income of the investor:
photovoltaic power generation capacity: 17850kWh, and settlement of electricity price 0.8 yuan/kWh.
Wind power generation capacity: 132.68kWh, the settlement price of electricity is 0.8 yuan/kWh.
The generated energy of the multi-energy station is as follows: 59.4kWh, settlement price of electricity 0.8 yuan/kWh; the cooling and heating quantity is 0.
Electric pile charge volume is filled to the wisdom energy: 832kWh, settlement electricity price 1.6 yuan/kWh.
Energy expenditure of the investor:
the power consumption of the multi-energy station is as follows: peak segment 242.4kWh, electricity price 1.088 yuan/kWh; flat section 408.3kWh, electricity price 0.656 yuan/kWh; millet section 349.8kWh, electric charge 0.313 yuan/kWh.
The gas consumption of the multi-energy station is as follows: 0.6 prescription, 3.65 yuan/prescription.
Electric pile charge volume is filled to the wisdom energy: peak segment 437.6kWh, electricity price 1.088 yuan/kWh; flat section 154.4kWh, electricity price 0.656 yuan/kWh; the grain section is 12.8kWh, and the electricity charge is 0.313 yuan/kWh.
Income of the investor: 15261.56 yuan.
The working process and working principle of the invention are as follows:
the invention relates to a park comprehensive energy supply system which carries out system integration by the concept of multi-energy complementation, comprising: the system comprises a multi-energy station, a distributed photovoltaic power generation system, a distributed wind power generation system, a smart energy charging pile and other system modules.
The distributed photovoltaic power generation system and the distributed wind power generation system can be arranged on the roof of a factory building in a park, and renewable power energy sources are provided for the park.
The multi-energy station comprises a micro gas turbine unit, a waste heat lithium bromide unit, an energy storage battery pack, a micro photovoltaic power generation unit and a power distribution cabinet, municipal gas enters the micro gas turbine unit for power generation, discharged flue gas is heated or refrigerated through the waste heat lithium bromide unit to meet the cold, hot and electric load requirements of office buildings in a park, the energy storage battery pack is charged at night and discharged in the daytime, economic benefits are realized through peak-valley difference price, and meanwhile, the multi-energy station can be used as a black start power supply in an off-grid state to ensure the power supply of the park in the off-grid state;
the intelligent energy charging pile is arranged in the parking lot and provides a new energy automobile for charging business operation.
The energy information system includes: the system comprises a micro weather station and a smart energy management platform;
the micro meteorological station can acquire meteorological parameters such as wind speed, wind direction, temperature, irradiation intensity, humidity and the like, data are stored in the intelligent energy management platform, and the energy supply information system performs power generation prediction of renewable energy and system operation strategy scheduling;
the intelligent energy management platform comprises: the system comprises a local data monitoring module, a camera monitoring module, a WEB interface display module and an energy management module, wherein the local data monitoring module comprises an engineer station, an operator station, a database, a server, an on-site PLC (programmable logic controller), a wireless transmission device, an on-site data acquisition device and the like, functions such as data monitoring, control strategy, load side management, energy consumption analysis, historical data query, energy charging bill generation and the like are realized, real-time pictures can be acquired by the camera monitoring module and can be checked through a local or remote interface, the WEB interface display module transmits local data to a cloud server, and a user can remotely query the running state of the current energy information system through a mobile phone and a computer terminal.
The energy management module predicts photovoltaic power generation, wind power generation and park power utilization loads by reading historical data in the database and adopting a deep learning deep network algorithm, stores the prediction result into the database, establishes an optimization model objective function and constraint conditions of the intelligent energy system according to the prediction result, optimizes by adopting an evolutionary algorithm, and transmits the optimization result to the local monitoring module to be used as a target value of a scheduling instruction.
The intelligent energy management platform can complete monthly energy fee settlement reports, and the calculation method comprises the following steps:
the energy cost income of the investor comprises: distributed photovoltaic power generation income, distributed wind power generation income, multi-energy station electricity generation income, cooling/heating income and smart energy charging pile charging income.
The energy cost expenditure of the investor comprises the following steps: the expenditure that charges in multipotency energy station, natural gas expenditure and wisdom energy charging pile power consumptive expenditure.
The settlement formula of the energy cost of the investor is as follows: energy cost income-energy cost expenditure.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all equivalent structures made by using the contents of the specification and the drawings, or other related technical fields, are encompassed by the present invention.
Claims (10)
1. The utility model provides a complementary garden comprehensive energy supply system of multipotency which characterized in that: the system comprises an energy supply system, an energy information system and an energy fee settlement system;
the energy supply system comprises a multi-energy station, a distributed photovoltaic power generation system, a distributed wind power generation system and an intelligent energy charging pile, and is used for supplying facility power in a park;
the energy information system comprises a micro meteorological station and an intelligent energy management platform, and is used for meteorological data observation, power generation data prediction and system operation strategy scheduling;
the energy cost settlement system is used for calculating power generation data and power consumption data on the intelligent energy management platform and performing cost settlement on the power generation data and the power consumption data.
2. The complementary campus energy supply system of claim 1 wherein: the multifunctional energy station comprises a micro gas turbine unit, a waste heat lithium bromide unit, an energy storage battery pack, a micro photovoltaic power generation unit and a power distribution cabinet, wherein the micro gas turbine unit is connected with a booster unit, the micro gas turbine unit is communicated with the waste heat lithium bromide unit through a three-way valve, cold and hot loads output by the waste heat lithium bromide unit are used for meeting the cold and hot load requirements of a park office building, the micro gas turbine unit, the energy storage battery pack and the micro photovoltaic power generation unit are all connected with the power distribution cabinet electrically, and the power distribution cabinet output voltage load is used for supplying power to the park office building.
3. The complementary campus energy supply system of claim 2 wherein: the distributed photovoltaic power generation system with distributed wind power generation system all with the switch board electricity is connected, distributed photovoltaic power generation system with distributed wind power generation system all sets up in the roof of garden factory building for the infrastructure supply electric energy in garden.
4. The complementary campus energy supply system of claim 2 wherein: the electric pile is filled to the wisdom energy with the switch board electricity is connected, the wisdom energy fills electric pile and sets up in the park parking area for the new energy automobile in park charges.
5. The complementary campus energy supply system of claim 1 wherein: the micro meteorological station is used for collecting meteorological parameters such as wind speed, wind direction, temperature, irradiation intensity and humidity, and storing the meteorological parameters into the intelligent energy management platform so that the energy information system can predict the generated electricity quantity and schedule the operation strategy.
6. The complementary campus energy supply system of claim 1 wherein: the intelligent energy management platform comprises a local data monitoring module, a camera monitoring module, a WEB interface display module and an energy management module;
the local data monitoring module comprises an engineer station, an operator station, a database, a server, an on-site PLC (programmable logic controller), a wireless transmission device and an on-site data acquisition device which are matched for use, and is used for data monitoring, control strategy, load management, energy consumption analysis, historical data query and energy charging bill generation;
the camera monitoring module is used for acquiring real-time scenes of a park and checking an interface through local equipment or a remote network;
the WEB interface display module is used for transmitting local data to the cloud server, and a user remotely inquires the operating state of the intelligent energy management platform through a mobile phone terminal and a computer terminal;
the energy management module predicts loads of photovoltaic power generation, wind power generation and park power utilization by reading historical data in a database and adopting a deep learning network algorithm, stores the prediction result into the database, establishes an optimization model target function and constraint conditions of the intelligent energy management platform according to the prediction result, adopts an evolutionary algorithm to carry out optimization, transmits the optimization result to the local data monitoring module, and uses the optimization result as a target value of a scheduling instruction.
7. The complementary campus energy supply system of claim 1 wherein: the energy cost settlement system performs cost settlement on the energy cost income and the energy cost expenditure of the park through the intelligent energy management platform.
8. The complementary campus energy supply system of claim 7 wherein: the energy cost income comprises distributed photovoltaic power generation income, distributed wind power generation income, multi-energy station power generation income, cooling/heating supply income and intelligent energy charging pile charging income.
9. The complementary campus energy supply system of claim 7 wherein: the energy cost expenditure comprises the charging expenditure of the multi-energy station, the natural gas expenditure and the power consumption expenditure of the intelligent energy charging pile.
10. The complementary campus energy supply system of claim 7 wherein: the settlement formula a of the energy costs is as follows,
energy cost = energy cost income-energy cost expenditure equation a.
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111487939A (en) * | 2020-04-17 | 2020-08-04 | 内蒙古润泰新能源科技有限公司 | Intelligent system for heating, power supply and refrigeration integrated natural energy and control method |
| CN112257964A (en) * | 2020-11-23 | 2021-01-22 | 国网上海市电力公司 | Demand aggregation modeling method for smart park of load-intensive city |
| CN113093675A (en) * | 2021-04-01 | 2021-07-09 | 中国华能集团有限公司河北雄安分公司 | Regional-level multi-energy complementary intelligent energy scheduling control system |
| CN113154518A (en) * | 2021-05-17 | 2021-07-23 | 沈阳恒久安泰环保与节能科技有限公司 | Intelligent heat supply control system based on residential electricity load scheduling |
| CN113408769A (en) * | 2020-03-16 | 2021-09-17 | 上海电力大学 | Park comprehensive energy system scheduling method based on multi-load response |
| CN113450239A (en) * | 2021-06-28 | 2021-09-28 | 国网北京市电力公司 | Intelligent park |
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