CN110533311A - Intelligent Community coordinated scheduling system and method based on energy source router - Google Patents
Intelligent Community coordinated scheduling system and method based on energy source router Download PDFInfo
- Publication number
- CN110533311A CN110533311A CN201910774257.5A CN201910774257A CN110533311A CN 110533311 A CN110533311 A CN 110533311A CN 201910774257 A CN201910774257 A CN 201910774257A CN 110533311 A CN110533311 A CN 110533311A
- Authority
- CN
- China
- Prior art keywords
- energy
- module
- community
- power
- electricity
- 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.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims description 11
- 230000005611 electricity Effects 0.000 claims abstract description 76
- 238000012544 monitoring process Methods 0.000 claims abstract description 42
- 238000003860 storage Methods 0.000 claims abstract description 25
- 238000004891 communication Methods 0.000 claims abstract description 24
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 claims description 52
- 239000007789 gas Substances 0.000 claims description 31
- 238000007726 management method Methods 0.000 claims description 27
- 239000003345 natural gas Substances 0.000 claims description 26
- 238000004146 energy storage Methods 0.000 claims description 21
- 238000010248 power generation Methods 0.000 claims description 11
- 230000036541 health Effects 0.000 claims description 10
- 230000009466 transformation Effects 0.000 claims description 9
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 9
- 238000006243 chemical reaction Methods 0.000 claims description 8
- 238000007405 data analysis Methods 0.000 claims description 5
- 238000010438 heat treatment Methods 0.000 claims description 5
- 238000005553 drilling Methods 0.000 claims description 4
- 230000010365 information processing Effects 0.000 claims description 3
- 238000009434 installation Methods 0.000 claims description 3
- 238000012545 processing Methods 0.000 claims description 3
- 239000002689 soil Substances 0.000 claims description 2
- GOLXNESZZPUPJE-UHFFFAOYSA-N spiromesifen Chemical compound CC1=CC(C)=CC(C)=C1C(C(O1)=O)=C(OC(=O)CC(C)(C)C)C11CCCC1 GOLXNESZZPUPJE-UHFFFAOYSA-N 0.000 claims description 2
- 239000002918 waste heat Substances 0.000 claims description 2
- 235000006508 Nelumbo nucifera Nutrition 0.000 claims 1
- 240000002853 Nelumbo nucifera Species 0.000 claims 1
- 235000006510 Nelumbo pentapetala Nutrition 0.000 claims 1
- 230000007704 transition Effects 0.000 claims 1
- 238000010586 diagram Methods 0.000 description 4
- 238000005259 measurement Methods 0.000 description 4
- 238000004088 simulation Methods 0.000 description 4
- 238000011161 development Methods 0.000 description 3
- 230000002411 adverse Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000012546 transfer Methods 0.000 description 2
- 238000005406 washing Methods 0.000 description 2
- 238000004378 air conditioning Methods 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000000295 complement effect Effects 0.000 description 1
- 238000010411 cooking Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 230000035800 maturation Effects 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 230000021715 photosynthesis, light harvesting Effects 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
- Y02P90/82—Energy audits or management systems therefor
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Health & Medical Sciences (AREA)
- Marketing (AREA)
- General Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- Public Health (AREA)
- Primary Health Care (AREA)
- Water Supply & Treatment (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- General Health & Medical Sciences (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
Based on the intelligent Community coordinated scheduling system of energy source router, including home energy source router, community energy router；The home energy source router is used including the first power converter module, the first Central Control Module, first can monitoring module, first information storage module, valve control module, the first communication system；The community energy router is used including the second power converter module, the second Central Control Module, second can monitoring module, the second information storage module, the second communication system；First communication system, the second communication system are interconnected with cloud platform intelligent community management system.The present invention has sufficiently dissolved the electric energy for the generation that renewable energy wind energy, solar energy, manpower do work, and greatly reduces community and using for family can cost；Realize the coordinated scheduling of intelligent Community wind, light, electricity, heat, gas, generating electricity from manpower.
Description
Technical field
The present invention relates to energy source interconnection and micro-grid system technical fields, and in particular to a kind of intelligence based on energy source router
It can community's coordinated scheduling system and method.
Background technique
With the development of energy crisis, photovoltaic, wind-powered electricity generation, the generating electricity from manpower distributed energy are received significant attention, dispersion
Change, the disadvantages of intermittent and fluctuation make its can not large-scale application, traditionally, the energy managements such as electric energy, thermal energy, natural gas system
It is all independent for uniting, and is not interacted between the various energy, and energy utilization rate is low, the case where abandoning energy easily occurs, the energy is mutual therewith
The concept of networking is suggested, and energy internet is that energy and information close-coupled realize the safe and efficient new energy for coordinating to share
Using system, utilization various energy resources that can be flexible and efficient, alleviating energy crisis, while also complying with low-carbon, green, sustainable
Idea of development.
Simultaneously since the 21th century, with the rapid development of society, community's distributed energy power generation, heat supply and gas supply are general
And degree is higher and higher, how to realize community energy interconnection and energy management, directly influences community's photovoltaic, wind-powered electricity generation, generating electricity from manpower
The consumption of the distributed energy, the efficient utilization of the efficient conversion of electric energy and air and heat energy.Therefore, can source interconnection frame and
Energy management strategy has important researching value and application prospect.
Summary of the invention
In order to solve the above technical problems, the present invention provides a kind of intelligent Community coordinated scheduling system based on energy source router
And method, intelligent Community coordinated scheduling system of the present invention by building based on energy source router, according to photovoltaic, wind-force, manpower
Generated output and with can situation carries out real-time monitoring, under conditions of meeting workload demand optimum management with energy equipment, energy storage
The energy transaction of equipment, community energy internet has sufficiently dissolved the production that renewable energy wind energy, solar energy, manpower do work
Raw electric energy, greatly reduces community and using for family can cost；Realize intelligent Community wind, light, electricity, heat, gas, generating electricity from manpower
Coordinated scheduling.
The technical scheme adopted by the invention is as follows:
Based on the intelligent Community coordinated scheduling system of energy source router, including the routing of home energy source router, community energy
Device；
The home energy source router can be monitored including the first power converter module, the first Central Control Module, the first use
Module, first information storage module, valve control module, the first communication system；
First Central Control Module is stored with the first power converter module, first with energy monitoring module, the first information respectively
Module, valve control module, the connection of the first communication system；
The community energy router can be monitored including the second power converter module, the second Central Control Module, the second use
Module, the second information storage module, the second communication system；
Second Central Control Module is stored with the second power converter module, second with energy monitoring module, the second information respectively
Module, the connection of the second communication system；
First communication system, the second communication system are interconnected with cloud platform intelligent community management system.
First power converter module, for realizing in family: wind-powered electricity generation, photovoltaic, electrical equipment, energy storage device, electronic
Ac-dc conversion, buck transformation, frequency transformation, power quality in the electric energy input/output of automobile are adjusted；
First Central Control Module, for controlling the first power converter module and valve control module, and processing
First signal acquired with energy monitoring module；
Described first uses energy monitoring module, for monitoring voltage, electric current, wattful power when household electricity equipment uses in real time
Power output, the usage amount of natural gas, confession heat flow, Indoor Temperature that rate, reactive power, the electricity of energy storage device, various energy resources generate electricity
Degree and Natural Gas Water Heater temperature；
The first information storage module, the data real-time storage acquired for first with energy monitoring module；
The valve control module is controlled for natural gas, heat supply house lead in.
Second power converter module, for realizing community body-building generating equipment, community's electrical equipment and energy storage device
Electric energy input/output in ac-dc conversion, buck transformation, power quality adjust；Realize the interconnection of power grid and user；
Second control module, for controlling the second power converter module；
Described second with can monitoring module, always generated electricity in real time feelings with energy situation, green health room for monitoring community in real time
Condition；
The second information storage module, the data real-time storage acquired for second with energy monitoring module；
The cloud platform intelligent community management system, for realizing with can situation prediction, various energy resources generated output prediction,
Coordinated scheduling, online trading, information processing, information push, electricity-electricity transaction, electric-gas transaction, electric-thermal transaction, big data analysis
User power utilization planning, intelligent power saving early warning.
A kind of intelligent Community coordinated scheduling system and method based on energy source router of the present invention, technical effect are as follows:
1: the present invention is based on energy source routers, realize a variety of energy such as the wind to intelligent Community, light, electricity, heat, gas, manpower
Source is managed as a whole on the spot and coordinated scheduling.
2: intelligent Community coordinated scheduling system of the present invention by building based on energy source router, according to photovoltaic, wind-force
It contributes with generating electricity from manpower and carries out real-time monitoring with energy situation, optimum management community uses energy under conditions of meeting with energy demand
The energy transaction of equipment, energy storage device, community energy internet, abundant on-site elimination renewable energy wind energy, solar energy
With green health room issue electric energy, avoid distributed energy it is grid-connected to electric power networks bring adversely affect, reduce simultaneously
Electric energy at a distance transmits bring loss, greatly reduce community and family with can cost.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples:
Fig. 1 is the intelligent Community coordinated scheduling system and method block diagram based on energy source router.
Fig. 2 is home energy source router topology block diagram.
Fig. 3 is community energy router topology block diagram.
Fig. 4 is the home router power converter module structure chart.
Fig. 5 is community's router power converter module structure chart.
Fig. 6 is that simulation intelligent Community can source interconnection frame diagram.
Specific embodiment
As shown in FIG. 1 to 3, the intelligent Community coordinated scheduling system based on energy source router, including home energy source routing
Device, community energy router；
The home energy source router include the first power converter module, the first control module, first with can monitoring module,
First information storage module, valve control module, the first communication system；
The community energy router can be monitored including the second power converter module, the second Central Control Module, the second use
Module, the second information storage module, the second communication system；
First communication system, the second communication system are interconnected with cloud platform intelligent community management system.
First power converter module, as shown in figure 4, comprising:
The first AC-DC module being connect with AC220V and the first DC- being connect with energy storage device, direct-flow electricity utilization apparatus
DC module；
The second AC-DC module being connect with photovoltaic and the first DC-AC module being connect with AC electric equipment；
The third AC-DC module being connect with wind-powered electricity generation and the frequency changer circuit being connect with very frequency electrical equipment；
First AC-DC module, the second AC-DC module, third AC-DC module, the first DC-DC module, the first DC-AC
Module, frequency changer circuit are all connected to 200V DCBUS, are respectively provided with power measurement unit at connecting node；
Electric energy computation chip RN8302 is electric to route active power, reactive power, voltage with high precision for power measurement unit
Stream virtual value, power factor, phase angle and frequency are acquired and calculate.
First AC-DC module, the second AC-DC module, third AC-DC module, the first DC-DC module, the first DC-AC
Module, frequency changer circuit are all connected with the first control module.
First power converter module is for realizing in family: photovoltaic, wind-powered electricity generation, electrical equipment, energy storage device, electric car
Ac-dc conversion, buck transformation, frequency transformation, power quality in electric energy input/output are adjusted.
First control module controls the work of other modules according to the signal that the first communication system conveys.First control
Module is using STM32F401RB single-chip microcontroller as core, for controlling the first power converter module and valve control module, and processing
First signal acquired with energy monitoring module.
First communication system uses WiFi module, the 88W8801 chip of model Marvell, and utilizes TCP/IP
Equipment is accessed internet, it can be achieved that the user terminal cloud platform and home energy source of cloud platform intelligent community management system route by agreement
The information exchange of device.
Described first uses energy monitoring module, for monitoring voltage, electric current, wattful power when household electricity equipment uses in real time
Power output, the usage amount of natural gas, confession heat flow, Indoor Temperature that rate, reactive power, the electricity of energy storage device, various energy resources generate electricity
Degree and Natural Gas Water Heater temperature.First includes: with energy monitoring module
1., the monitoring for electricity received using electric quantity acquisition chip ATT7022E by current sample and voltage sample
Collect data；It is also integrated with including a variety of circuits such as voltage, electric current, power factor simultaneously, it can be whole in collection analysis circuit
Electrical energy parameter and digital signal；
2., the monitoring for heating load, using intelligent calorimeter；
3., the monitoring for air demand, using intelligent gas meter；
4., the monitoring for temperature monitored in real time by DS18B20 digital temperature sensor.
The first information storage module, the data real-time storage acquired for first with energy monitoring module；The first information
Storage module uses AT24C02 chip, is stored in real time by collected with energy information, and can be by associated the Internet protocol at any time
Transfer stored energy information.
The valve control module is controlled by logic gates, and when receiving with energy signal, control executive component is real
Now in the folding of natural gas, heat supply house valve.
Second power converter module as shown in figure 5, comprising:
The 4th AC-DC module being connect with AC220V；
The 5th AC-DC module being connect with green health room body-building power generation equipment；
The second DC-AC module being connect with user network；
4th AC-DC module, the 5th AC-DC module, the second DC-AC module are all connected to 200V DCBUS, connecting node
Place is respectively provided with power measurement unit.
Electric energy computation chip RN8302 is electric to route active power, reactive power, voltage with high precision for power measurement unit
Stream virtual value, power factor, phase angle and frequency are acquired and calculate.
4th AC-DC module, the 5th AC-DC module, the second DC-AC module are all connected with the second control module.
Second power converter module function: for 1. realizing that community body-building generating equipment, community's electrical equipment and energy storage are set
Ac-dc conversion, buck transformation in standby electric energy input/output, power quality are adjusted；2. realizing that power grid and user's is mutual
Connection.
Second Central Control Module, the second control module is also using STM32F401RB single-chip microcontroller as core, for controlling
Second power converter module.
Described second uses energy monitoring module, sends out in real time for monitoring the total electricity consumption situation in community and green health room in real time
Electric situation；Electric quantity acquisition chip ATT7022E is used for the monitoring of electricity, data are collected by overcurrent, voltage sample.
The second information storage module, the data real-time storage acquired for second with energy monitoring module；Second information
Storage module uses AT24C02 chip, is stored in real time by collected with energy information, and can be by associated the Internet protocol at any time
Transfer stored energy information.
Second communication system uses WiFi module, and the 88W8801 chip of model Marvell realizes community's routing
Device is interacted with the community cloud platform information of cloud platform intelligent community management system.
The cloud platform intelligent community management system, for realizing with can situation prediction, various energy resources generated output prediction,
Coordinated scheduling, online trading, information processing, information push, electricity-electricity transaction, electric-gas transaction, electric-thermal transaction, big data analysis
User power utilization planning, intelligent power saving early warning.
Described first uses energy monitoring module, and the side of real time measure is used for household electricity, with heat, with the monitor mode of gas
Formula.
The community energy router and heat supply factory, green health room interconnect；
Heat supply factory includes ground heat pump heating system, and ground pump can obtain heat from the empty gas and water or soil of nature, by electricity
Power acting can be converted to the electric energy of consumption 3 times even 3 times or more of thermal energy；
Green health room includes the power generator of body-building equipment installation, the distributed energy produced electricl energy by manpower acting
Source.The body-building equipment of the power generator of installation is referring in particular to Chinese patent " utilizing the equipment of body-building kinetic energy efficiency power generation " (application
Numbers 201610352457.8；CN105840439B) the content recorded.
The community energy router and heat supply factory, natural gas business men interconnect, and realize that electricity turns gas or electricity turns heat, gas supply factory with
Heat supply factory remaining electricity is bought by limited times price game mode.
Cloud platform intelligent community management system is made of the end PC and intelligent Community energy management software, it can be achieved that function:
1.: energy transaction is carried out based on the energy transaction platform built under internet environment；
2.: power output progress a few days ago can be generated electricity in advance to each familial distribution of cases formula energy according to the prediction model of photovoltaic and wind-powered electricity generation
It surveys；
3.: it is predicted according to the prediction data of family's generated output a few days ago and with energy situation, the community based on energy source router
Energy coordinative dispatching model carries out energy pre-scheduling, formulates operation plan and is pushed to user terminal, when to energy storage device charge and discharge
Between, Household Appliance time and electric car charging time optimize, and according to can source router be collected practical sends out
For electricity power output situation to that can plan to be modified by community energy coordinative dispatching model, realization community is minimum with energy cost.
For photovoltaic and the existing model for much more studying maturation of wind-power electricity generation prediction, the present invention is not illustrated；
Community energy coordinative dispatching model community's coordinated scheduling method based on energy source router is described in detail in following implementation steps.
Community's coordinated scheduling method based on energy source router, comprising the following steps:
Step 1: with the intelligent Community energy minimum target of cost W, coordinated scheduling is carried out, cost function such as following formula:
MinW=W1-W2+W3+W4 (1)
Wherein, W1It is the electricity charge of community, W2It is the profit that electric energy is sold to heat supply and gas supply factory, W3It is the use gas expense of community,
W4It is community with hot expense；
Step 2: the community for implementing photovoltaic power generation, wind-power electricity generation and generating electricity from manpower, electric cost, as shown by the equation:
Wherein, W1It is the electricity charge of community, J (t) price refers to the electricity price of time t, Pgm(t) it indicates to buy electric energy from power grid,
Pgf(i, t) refers to that photovoltaic output power, θ are the every kilowatt hour subsidy coefficients of photovoltaic electric energy.
Step 3: when the power generation output of a variety of clean energy resourcies is very big, PgmIt (t) may be negative, but distributed energy power generation
Complementary energy, which feeds back to power grid, to have an adverse effect to distribution network electric energy quality, in order to rationally utilize energy.It is routed by the energy
Natural gas business men near device and community, heat supply factory's interconnection, directly sells electric energy, realizes that electricity turns gas or electricity turns heat, gas supply factory with
Heat supply factory buys remaining electricity by limited times price game mode, and both sides must not bid lower than community's sale of electricity bid price (t),
Reduce community to greatest extent uses energy cost, profit such as following formula:
Wherein, η (t) is that electricity turns gas price, and μ (t) is that electricity turns hot price, and price (t) is community's sale of electricity bid.
Pj(i, t)=Pbuy(i,t)-Psell(i,t) (4)
Pj(i, t)=PL(i,t)-Pgf(i,t)-Pfl(i,t)-Prl(i,t)-Pfd(i,t)+Pcd(i,t)i∈N (5)
PL(i, t)=Pa(i,t)+Pb(i,t)+Pc(i,t) (6)
Wherein, N is community's house number, Pbuy(i, t) and Psell(i, t) refers to purchasing power and sales force, PL(i, t) is
Total load, Pcd(i, t) and PfdThe charge power and discharge power of (i, t) energy storage device, Pfl(i, t) refers to that wind-power electricity generation exports
Power, Prl(i, t) is generating electricity from manpower output power, Pa(i, t), Pb(i, t) and Pc(i, t) is uninterrupted load, core load
With the power consumption of temperature control load, Pj(i, t) is the net load of family.
Step 4: the price of intelligent Community internal electric energy is using the electricity price J when upper elixir fieldfg, in order to guarantee the justice of price,
It is calculated in energy internet between the electric energy seller and buyer in conjunction with dijkstra's algorithm in intelligent Community energy internet
Distance l (i, j), to electricity price JfgIt is modified.
Wherein, L is the maximum value of the inter-household interconnection distance of any two in community energy internet.
When net load is timing, family needs to buy electric energy, conversely, electric energy can be sold:
Wherein,WithIt is maximum sale and purchase active power, the generally equal to maximum work of residential energy sources router
The rate of doing work.ρsellAnd ρbuyIt is variable (0/1), for indicating the state of dealing.
Wherein,WithIt is the upper limit that energy storage device is charged and discharged active power, DcdAnd DfdIt is variable (0/1), uses
To indicate the state of charge and discharge.Dcd(i,t)+DfdWhen (i, t)≤1, forbid being charged and discharged simultaneously,Be energy storage device most
Big reserves.In view of the service life of energy storage device, practical use scope is set as 20% to 100%.
The power constraint of core load:
WhereinIt is the real-time active power of core load,WithIt is the limitation of active power up and down of core load,
WithIndicate core load starting and end time.
The power constraint of temperature control load:
Wherein,WithIt is the limitation of active power up and down of temperature control load,WithAt the beginning of indicating temperature control load
Between and the end time, TmaxAnd TminIt is the temperature requirement up and down of temperature control load.During the operation of temperature control load, when meeting temperature
When demand, minimum power consumption can be 0.Otherwise, power consumption is the rated power of temperature control load.
Uninterrupted load is worked with rated power, this type load has to pass through after beginning to use could break for a period of time
Electricity, such as household electrical appliance washing machine etc..
Cloud platform intelligent community management system is based on big data analysis technology, intelligence for the management of natural gas and heat supply
Energy saving early warning technology.
Management of the present invention for natural gas, natural gas are chiefly used in water heater and kitchen, according to user's coolant-temperature gage history
Data, the coolant-temperature gage of the various hot water facilities of intelligent management, to reduce the consumption of natural gas；According to the history number of kitchen gas consumption
According to the prediction real-time gas consumption of user is given if real time monitoring gas consumption exceeds the 120% of prediction data by communication system
User issues early warning, forgets to close the waste of air valve bring natural gas to reduce user, and monitor family in real time by home router
Natural gas consumption TRQ (i, t).
Step 5: pass through the natural gas totle drilling cost such as following formula of cloud platform intelligent community management system:
In formula, W3It is the natural gas expense of community, β (t) is the Gas Prices of t time；
Management of the present invention to heat supply, for Winter heat supply, setting according to user itself to temperature pleasant degree, monitoring room
Interior temperature guarantees that temperature maintains the good temperature range of users'comfort, avoid temperature too low or excessively high bring it is uncomfortable and
The excessively high bring energy dissipation of temperature, and can predict that intelligence adjusts temperature according to big data analysis, comprehensively consider user's impression,
And monitor the heat consumption Q of family in real time by home energy source routerdr(i,t)。
Pass through the heat supply totle drilling cost such as following formula of cloud platform intelligent community management system:
Wherein, W4It is the heat supply expense of community,It is the level Waste Heat Price of t time.
In order to prove feasibility of the invention, intelligent Community that one contains 10 families is had chosen as simulation case,
Its energy source interconnection frame is as shown in Figure 6.Simulate intelligent Community in each family photovoltaic capacity be 2kw, fan capacity 2kw,
Electric car owning rate is 60%, uses after the general 07:00 of electric car, charges after 19:00.In addition, in order to ensure user's
Comfort level, room temperature needs to be maintained at 22-26 DEG C between heating period.Each house electrical equipment has core load: a set of illumination
Lamp system and safety and protection monitoring equipment, uninterrupted load: a washing machine and electric cooker, this type load must be through after beginning to use
Could power off after a period of time, temperature control load: a refrigerator and air-conditioning, this type load can be carried out according to temperature requirements difference
It adjusts.The gas equipment in each house has a natural gas cooking stove and Natural Gas Water Heater, is equipped with water with hot charging and leads heating system.
Following simulation case simulation analysis, to can price do it is assumed hereinafter that:
Electricity rates: the price of peak period (11:00-13:00 and 17:00-21:00) is 0.86 yuan/KWh, during par
(07:00-11:00,13:00-17:00 and 21:00-24:00) is 0.54 yuan/kWh, and the paddy phase price of (00:00-07:00) is
0.315 yuan/kWh.
It is 4.5 yuan/cube with the price of Gas Prices peak period (11:00-12:30 and 17:00-20:00), remaining
Time par area is 3 yuan/cube.
It is 1.4 yuan/KWh with warm price peak period (19:00-24:00) price, remaining time par area is 0.8 yuan/KWh.
Three kinds of situations are considered to study influence of the present invention to community's energy cost:
Case1: consider the intelligent Community coordinated scheduling strategy of the invention based on energy source router；
Case2: consider the community energy management strategy of the whole grid-connected situations of electricity production；
Case3: consider the community energy management strategy for the mode generated power for their own use；
The case where by emulation Case1 and Case2, Case3, considers to route based on the energy according to that can compare at original
The intelligent Community coordinated scheduling management strategy of device reduces by 21% and 30.6% with energy cost compared to the total of Case2 and Case3, says
The feasibility and economy of this use energy management strategy is illustrated, can substantially reduce using for community can cost.
The daily of table 1 Case1, Case2 and Case3 can cost situation table
Claims (7)
1. the intelligent Community coordinated scheduling system based on energy source router, it is characterised in that including home energy source router, community
It can source router；
The home energy source router include the first power converter module, the first Central Control Module, first with can monitoring module,
First information storage module, valve control module, the first communication system；
First Central Control Module respectively with the first power converter module, first with can monitoring module, first information storage module,
Valve control module, the connection of the first communication system；
The community energy router include the second power converter module, the second Central Control Module, second with can monitoring module,
Second information storage module, the second communication system；
Second Central Control Module respectively with the second power converter module, second with can monitoring module, the second information storage module,
The connection of second communication system；
First communication system, the second communication system are interconnected with cloud platform intelligent community management system.
2. the intelligent Community coordinated scheduling system according to claim 1 based on energy source router, it is characterised in that:
First power converter module, for realizing in family: wind-powered electricity generation, photovoltaic, electrical equipment, the electric energy of energy storage device are defeated
Ac-dc conversion, buck transformation, frequency transformation, power quality in entering/exporting are adjusted；
First Central Control Module, for controlling the first power converter module and valve control module, and processing first
With the signal of energy monitoring module acquisition；
It is described first with can monitoring module, for monitor in real time household electricity equipment use when voltage, electric current, active power,
Reactive power, the electricity of energy storage device, various energy resources power generation power output, the usage amount of natural gas, confession heat flow, room temperature and
Natural Gas Water Heater temperature；
The first information storage module, the data real-time storage acquired for first with energy monitoring module；
The valve control module is controlled for natural gas, heat supply house lead in；
Second power converter module, for realizing the electricity of community body-building generating equipment, community's electrical equipment and energy storage device
Ac-dc conversion, buck transformation in energy input/output, power quality are adjusted；Realize the interconnection of power grid and user；
Second control module, for controlling the second power converter module；
Described second uses energy monitoring module, always uses energy situation, the real-time power generation situation in green health room for monitoring community in real time；
The second information storage module, the data real-time storage acquired for second with energy monitoring module；
The cloud platform intelligent community management system, for realizing being predicted, being coordinated with the prediction of energy situation, various energy resources generated output
Scheduling, online trading, information processing, information push, electricity-electricity transaction, electric-gas transaction, electric-thermal transaction, big data analysis user
Electricity consumption planning, intelligent power saving early warning.
3. the intelligent Community coordinated scheduling system according to claim 1 based on energy source router, it is characterised in that:
First power converter module comprising:
The first AC-DC module being connect with AC220V and the first DC-DC mould being connect with energy storage device, direct-flow electricity utilization apparatus
Block；
The second AC-DC module being connect with photovoltaic and the first DC-AC module being connect with AC electric equipment；
The third AC-DC module being connect with wind-powered electricity generation and the frequency changer circuit being connect with very frequency electrical equipment；
First AC-DC module, the second AC-DC module, third AC-DC module, the first DC-DC module, the first DC-AC mould
Block, frequency changer circuit are all connected with the first control module；
Second power converter module comprising:
The 4th AC-DC module being connect with AC220V；
The 5th AC-DC module being connect with green health room body-building power generation equipment；
The second DC-AC module being connect with user network；
4th AC-DC module, the 5th AC-DC module, the second DC-AC module are all connected with the second control module.
4. the intelligent Community coordinated scheduling system according to claim 1 based on energy source router, it is characterised in that:
It is described first with can monitoring module, for household electricity, with heat, with the monitor mode of gas by the way of real time measure.
5. the intelligent Community coordinated scheduling system according to claim 1 based on energy source router, it is characterised in that:
The community energy router and gas supply factory, heat supply factory, green health room interconnect；
Heat supply factory includes ground heat pump heating system, and ground pump can obtain heat from the empty gas and water or soil of nature, do by electric power
Function can be converted to the electric energy of consumption 3 times even 3 times or more of thermal energy；
Green health room includes the power generator of body-building equipment installation, the distributed energy produced electricl energy by manpower acting；
The community energy router and heat supply factory, natural gas business men interconnect, and realize electricity conversion gas or electric transition heat, supply factory
Remaining electricity is bought by limited times price game mode with heat supply factory.
6. using community's coordinated scheduling method such as any one intelligent Community coordinated scheduling system of claim 1-5, feature
Be the following steps are included:
Step 1: with the intelligent Community energy minimum target of cost W, coordinated scheduling is carried out, cost function such as following formula:
MinW=W1-W2+W3+W4 (1)
Wherein, W1It is the electricity charge of community, W2It is the profit that electric energy is sold to heat supply and gas supply factory, W3It is the use gas expense of community, W4It is
Taken with hot community；
Step 2: the community for implementing photovoltaic power generation, wind-power electricity generation and generating electricity from manpower, electric cost, as shown by the equation:
Wherein, J (t) price refers to the electricity price of time t, Pgm(t) it indicates to buy electric energy, P from power gridgf(i, t) refers to that photovoltaic exports
Power, θ are the every kilowatt hour subsidy coefficients of photovoltaic electric energy；
Step 3: by the natural gas business men near energy source router and community, heat supply factory's interconnection is directly sold electric energy, is realized
Electricity turns gas or electricity turns heat, supplies factory and heat supply factory by limited times price game mode and buys remaining electricity, and both sides must not bid it is low
Price (t) is bid in community's sale of electricity, reduce community to greatest extent uses energy cost, profit such as following formula:
Wherein, η (t) is that electricity turns gas price, and μ (t) is that electricity turns hot price, and price (t) is community's sale of electricity bid；
Pj(i, t)=Pbuy(i,t)-Psell(i,t) (4)
Pj(i, t)=PL(i,t)-Pgf(i,t)-Pfl(i,t)-Prl(i,t)-Pfd(i,t)+Pcd(i,t)i∈N (5)
PL(i, t)=Pa(i,t)+Pb(i,t)+Pc(i,t) (6)
Wherein, N is community's house number, Pbuy(i, t) and Psell(i, t) refers to purchasing power and sales force, PL(i, t) is total negative
Lotus, Pcd(i, t) and PfdThe charge power and discharge power of (i, t) energy storage device, Pfl(i, t) refers to output power of wind power generation,
Prl(i, t) is generating electricity from manpower output power, Pa(i, t), Pb(i, t) and Pc(i, t) is uninterrupted load, core load and temperature
Control the power consumption of load, Pj(i, t) is the net load of family；
Step 4: the price of intelligent Community internal electric energy is using the electricity price J when upper elixir fieldfg, in order to guarantee the justice of price, in conjunction with
Dijkstra's algorithm be calculated in energy internet between the electric energy seller and buyer intelligent Community energy internet away from
From l (i, j), to electricity price JfgIt is modified；
Wherein, L is the maximum value of the inter-household interconnection distance of any two in community energy internet；
When net load is timing, family needs to buy electric energy, conversely, electric energy can be sold:
Wherein,WithIt is maximum sale and purchase active power, generally equal to the maximum functional function of residential energy sources router
Rate；ρsellAnd ρbuyIt is variable 0/1, for indicating the state of dealing；
Wherein,WithIt is the upper limit that energy storage device is charged and discharged active power, DcdAnd DfdIt is variable (0/1), is used to table
Show the state of charge and discharge；Dcd(i,t)+DfdWhen (i, t)≤1, forbid being charged and discharged simultaneously,It is the maximum storage of energy storage device
Amount；
Step 5: pass through the natural gas totle drilling cost such as following formula of cloud platform intelligent community management system:
In formula, W3It is the natural gas expense of community, β (t) is the Gas Prices of t time；
Pass through the heat supply totle drilling cost such as following formula of cloud platform intelligent community management system:
Wherein, W4It is the heat supply expense of community,It is the level Waste Heat Price of t time.
7. community's coordinated scheduling method according to claim 6 based on energy source router, it is characterised in that:
In step 4, the power constraint of core load:
WhereinIt is the real-time active power of core load,WithIt is the limitation of active power up and down of core load,With
Indicate core load starting and end time；
The power constraint of temperature control load:
Wherein,WithIt is the limitation of active power up and down of temperature control load,WithIndicate temperature control load at the beginning of and
End time, TmaxAnd TminIt is the temperature requirement up and down of temperature control load；During the operation of temperature control load, when meeting temperature requirements
When, minimum power consumption can be 0；Otherwise, power consumption is the rated power of temperature control load；
Uninterrupted load is worked with rated power, this type load could must be powered off after a period of time after beginning to use.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910774257.5A CN110533311B (en) | 2019-08-21 | 2019-08-21 | Intelligent community coordination scheduling system and method based on energy router |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910774257.5A CN110533311B (en) | 2019-08-21 | 2019-08-21 | Intelligent community coordination scheduling system and method based on energy router |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110533311A true CN110533311A (en) | 2019-12-03 |
| CN110533311B CN110533311B (en) | 2022-07-15 |
Family
ID=68662517
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910774257.5A Active CN110533311B (en) | 2019-08-21 | 2019-08-21 | Intelligent community coordination scheduling system and method based on energy router |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110533311B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111130101A (en) * | 2020-01-03 | 2020-05-08 | 云南电网有限责任公司电力科学研究院 | Multi-scenario capacity configuration optimization method for multi-port energy router |
| CN111137162A (en) * | 2020-03-09 | 2020-05-12 | 贵州电网有限责任公司 | Fill electric pile through energy internet energy supply |
| CN111866145A (en) * | 2020-07-22 | 2020-10-30 | 北京奥康达体育产业股份有限公司 | Maintenance operation and maintenance system is patrolled and examined to body-building equipment wisdom |
| CN112036669A (en) * | 2020-09-30 | 2020-12-04 | 国网电力科学研究院武汉南瑞有限责任公司 | System and method for hierarchical optimization of community energy management based on interactive energy utilization |
| CN113420995A (en) * | 2021-06-29 | 2021-09-21 | 中国人民解放军国防科技大学 | Building energy scheduling evaluation method and system based on intelligent community |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007330002A (en) * | 2006-06-06 | 2007-12-20 | Ntt Facilities Inc | Power monitoring measurement control system of micro-grid, its power monitoring measurement control method and power monitoring measurement control program |
| CN102810874A (en) * | 2011-06-03 | 2012-12-05 | 索尼公司 | Power control device, power management device and power management system |
| JP2014150627A (en) * | 2013-01-31 | 2014-08-21 | Toshiba Corp | Energy management system, center device and energy management method |
| CN105826944A (en) * | 2016-03-18 | 2016-08-03 | 上海电机学院 | Method and system for predicting power of microgrid group |
| CN106253268A (en) * | 2016-08-11 | 2016-12-21 | 国网江西省电力公司电力科学研究院 | Based on many power supplys multi-voltage grade load domestic intelligent energy router device |
| CN108306288A (en) * | 2018-02-13 | 2018-07-20 | 华东理工大学 | A kind of microgrid community distributed energy distribution method based on Demand Side Response |
| CN109390958A (en) * | 2018-10-26 | 2019-02-26 | 中国电力科学研究院有限公司 | A kind of community's electric cost optimization method and device that energy source router participates in |
| CN110059970A (en) * | 2019-04-23 | 2019-07-26 | 南京工程学院 | A kind of network system method of commerce based on block chain technology |
-
2019
- 2019-08-21 CN CN201910774257.5A patent/CN110533311B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007330002A (en) * | 2006-06-06 | 2007-12-20 | Ntt Facilities Inc | Power monitoring measurement control system of micro-grid, its power monitoring measurement control method and power monitoring measurement control program |
| CN102810874A (en) * | 2011-06-03 | 2012-12-05 | 索尼公司 | Power control device, power management device and power management system |
| JP2014150627A (en) * | 2013-01-31 | 2014-08-21 | Toshiba Corp | Energy management system, center device and energy management method |
| CN105826944A (en) * | 2016-03-18 | 2016-08-03 | 上海电机学院 | Method and system for predicting power of microgrid group |
| CN106253268A (en) * | 2016-08-11 | 2016-12-21 | 国网江西省电力公司电力科学研究院 | Based on many power supplys multi-voltage grade load domestic intelligent energy router device |
| CN108306288A (en) * | 2018-02-13 | 2018-07-20 | 华东理工大学 | A kind of microgrid community distributed energy distribution method based on Demand Side Response |
| CN109390958A (en) * | 2018-10-26 | 2019-02-26 | 中国电力科学研究院有限公司 | A kind of community's electric cost optimization method and device that energy source router participates in |
| CN110059970A (en) * | 2019-04-23 | 2019-07-26 | 南京工程学院 | A kind of network system method of commerce based on block chain technology |
Non-Patent Citations (1)
| Title |
|---|
| 林赟: ""电力市场环境下多微电网博弈调度研究"", 《工程科技II辑》 * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111130101A (en) * | 2020-01-03 | 2020-05-08 | 云南电网有限责任公司电力科学研究院 | Multi-scenario capacity configuration optimization method for multi-port energy router |
| CN111130101B (en) * | 2020-01-03 | 2023-07-21 | 云南电网有限责任公司电力科学研究院 | Multi-scenario capacity configuration optimization method for multi-port energy router |
| CN111137162A (en) * | 2020-03-09 | 2020-05-12 | 贵州电网有限责任公司 | Fill electric pile through energy internet energy supply |
| CN111137162B (en) * | 2020-03-09 | 2020-12-04 | 贵州电网有限责任公司 | Fill electric pile through energy internet energy supply |
| CN111866145A (en) * | 2020-07-22 | 2020-10-30 | 北京奥康达体育产业股份有限公司 | Maintenance operation and maintenance system is patrolled and examined to body-building equipment wisdom |
| CN112036669A (en) * | 2020-09-30 | 2020-12-04 | 国网电力科学研究院武汉南瑞有限责任公司 | System and method for hierarchical optimization of community energy management based on interactive energy utilization |
| CN113420995A (en) * | 2021-06-29 | 2021-09-21 | 中国人民解放军国防科技大学 | Building energy scheduling evaluation method and system based on intelligent community |
| CN113420995B (en) * | 2021-06-29 | 2023-07-18 | 中国人民解放军国防科技大学 | Building energy scheduling evaluation method and system based on intelligent community |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110533311B (en) | 2022-07-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110533311A (en) | Intelligent Community coordinated scheduling system and method based on energy source router | |
| Wang et al. | Optimal dispatching model of smart home energy management system | |
| CN108629470A (en) | System capacity management of providing multiple forms of energy to complement each other based on non-cooperative game is run with optimization | |
| CN110889600A (en) | Regional comprehensive energy system optimization scheduling method considering flexible thermal load | |
| CN105955931B (en) | Regional Energy network optimization dispatching method towards the consumption of high density distributed photovoltaic | |
| Wang et al. | Load curve smoothing strategy based on unified state model of different demand side resources | |
| CN110110897A (en) | A kind of integrated energy system optimization method considering different storage energy operation strategies | |
| CN109934470A (en) | It polymerize the information physical modeling and control method of extensive air conditioner load | |
| Wang et al. | Peak shaving and valley filling potential of energy management system in high-rise residential building | |
| CN110474370B (en) | Cooperative control system and method for air conditioner controllable load and photovoltaic energy storage system | |
| CN106385024A (en) | Modular electric energy router device and implementation method thereof | |
| Rahman et al. | An intelligent approach of achieving demand response by fuzzy logic based domestic load management | |
| CN108958189A (en) | Comprehensive energy dispatches system | |
| CN112799352A (en) | Park wisdom energy thing networking topology | |
| CN105226827B (en) | A kind of distributed intelligence management of power use method and system | |
| Ciabattoni et al. | Artificial bee colonies based optimal sizing of microgrid components: A profit maximization approach | |
| CN115693793B (en) | Regional micro-grid energy optimization control method | |
| CN110460107A (en) | A kind of framework and optimization method of home energy source integrated optimization equipment | |
| Halimi | Energy management algorithm for smart home with renewable energy sources | |
| Ajao et al. | Operating cost optimization of interconnected nanogrids considering bidirectional effect of V2G and V2H | |
| CN114186875A (en) | Park multi-energy optimization scheduling control method with high new energy ratio | |
| Tian et al. | Collaborative optimization of resident load based on cloud-edge-terminal | |
| CN112087041A (en) | Photovoltaic full-electric kitchen and energy management optimization system | |
| Zhu et al. | Optimized capacity configuration of photovoltaic generation and energy storage for residential microgrid | |
| Cheng et al. | Research on the mode of energy distribution network for smart low-carbon city |
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 | ||
| EE01 | Entry into force of recordation of patent licensing contract | ||
| EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20191203 Assignee: Hubei Zhikan Technology Co.,Ltd. Assignor: CHINA THREE GORGES University Contract record no.: X2023980043945 Denomination of invention: Intelligent Community Coordination and Scheduling System and Method Based on Energy Router Granted publication date: 20220715 License type: Common License Record date: 20231024 |