CN110533311B - Intelligent community coordination scheduling system and method based on energy router - Google Patents
Intelligent community coordination scheduling system and method based on energy router Download PDFInfo
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Abstract
The intelligent community coordination scheduling system based on the energy router comprises a family energy router and a community energy router; the household energy router comprises a first power conversion module, a first central control module, a first energy monitoring module, a first information storage module, a valve control module and a first communication system; the community energy router comprises a second power conversion module, a second central control module, a second energy monitoring module, a second information storage module and a second communication system; and the first communication system and the second communication system are in interactive connection with the cloud platform intelligent community management system. The invention fully consumes the electric energy generated by renewable energy sources such as wind energy, solar energy and manpower acting, thereby greatly reducing the energy consumption cost of communities and families; the intelligent community wind, light, electricity, heat, gas and manpower power generation coordination scheduling is realized.
Description
Technical Field
The invention relates to the technical field of energy interconnection and micro-grid systems, in particular to an intelligent community coordination scheduling system and method based on an energy router.
Background
With the development of energy crisis, distributed energy such as photovoltaic, wind power, manpower generation receives extensive attention, its decentralization, shortcoming such as intermittent type nature and volatility makes it unable extensive application, traditionally, energy management systems such as electric energy, heat energy, natural gas all are independent, there is not the interaction between the various energy, energy utilization is rateed lowly, the condition of abandoning the energy easily appears, the notion of energy internet is put forward thereupon, energy internet is the energy and information close coupling realizes the novel energy utilization system of safe high-efficient coordination sharing, can utilize multiple energy of nimble efficient, alleviate the energy crisis, also accord with low carbon, green, sustainable development theory simultaneously.
Meanwhile, with the rapid development of society, the popularity of community distributed energy power generation, heat supply and gas supply is higher and higher, and how to realize community energy interconnection and energy management directly influences the consumption of distributed energy such as community photovoltaic, wind power, manpower power generation and the like, the efficient conversion of electric energy and the efficient utilization of gas and heat energy. Therefore, the energy interconnection framework and the energy management strategy have important research value and application prospect.
Disclosure of Invention
In order to solve the technical problems, the invention provides an intelligent community coordination scheduling system and method based on an energy router, the intelligent community coordination scheduling system based on the energy router is constructed, real-time monitoring is carried out according to photovoltaic, wind power, manpower power generation output and energy utilization conditions, energy trading of energy utilization equipment, energy storage equipment and a community energy interconnection network is optimized and managed under the condition of meeting load requirements, electric energy generated by renewable energy wind energy, solar energy and manpower acting is fully consumed, and energy utilization cost of communities and families is greatly reduced; the intelligent community wind, light, electricity, heat, gas and manpower power generation coordination scheduling is realized.
The technical scheme adopted by the invention is as follows:
the intelligent community coordination scheduling system based on the energy router comprises a family energy router and a community energy router;
the household energy router comprises a first power conversion module, a first central control module, a first energy monitoring module, a first information storage module, a valve control module and a first communication system;
the first central control module is respectively connected with the first power conversion module, the first energy monitoring module, the first information storage module, the valve control module and the first communication system;
the community energy router comprises a second power conversion module, a second central control module, a second energy monitoring module, a second information storage module and a second communication system;
the second central control module is respectively connected with the second power conversion module, the second energy monitoring module, the second information storage module and the second communication system;
and the first communication system and the second communication system are in interactive connection with the cloud platform intelligent community management system.
The first power conversion module is used for realizing that in a household: alternating current-direct current conversion, buck-boost conversion, frequency conversion and power quality regulation in power input/output of wind power, photovoltaic, power utilization equipment, energy storage equipment and electric vehicles;
the first central control module is used for controlling the first power conversion module and the valve control module and processing signals collected by the first energy monitoring module;
the first energy monitoring module is used for monitoring the voltage, the current, the active power, the reactive power, the electric quantity of the energy storage equipment, the output of power generation of various energy sources, the use amount of natural gas, the heat supply flow, the indoor temperature and the temperature of the natural gas water heater in real time when the household electric equipment is used;
the first information storage module is used for storing the data acquired by the first monitoring module in real time;
and the valve control module is used for controlling natural gas and heat supply to enter the house.
The second power conversion module is used for realizing alternating current-direct current conversion, buck-boost conversion and power quality adjustment in power input/output of community body-building power generation equipment, community electric equipment and energy storage equipment; interconnection between a power grid and a user is realized;
the second control module is used for controlling the second power conversion module;
the second energy monitoring module is used for monitoring the total energy utilization condition of a community and the real-time power generation condition of a green gymnasium in real time;
the second information storage module is used for storing the data collected by the second energy monitoring module in real time;
the cloud platform intelligent community management system is used for realizing energy condition prediction, power generation output prediction of various energy sources, coordinated scheduling, online transaction, information processing, information pushing, electricity-electricity transaction, electricity-gas transaction, electricity-heat transaction, big data analysis user power utilization planning and intelligent energy-saving early warning.
The invention discloses an intelligent community coordination scheduling system and method based on an energy router, which has the following technical effects:
1: the intelligent community energy management system is based on the energy router, and realizes the integrated management and coordinated dispatching of various energy sources such as wind, light, electricity, heat, gas, manpower and the like of the intelligent community.
2: according to the invention, by constructing the intelligent community coordination scheduling system based on the energy router, the energy consumption conditions and the output of photovoltaic power generation, wind power generation and manpower generation are monitored in real time, energy transactions of energy consumption equipment, energy storage equipment and a community energy interconnection network of a community are optimized and managed under the condition of meeting the energy consumption requirement, the electric energy generated by renewable energy sources wind energy, solar energy and a green gymnasium is fully consumed, the adverse effect of distributed energy grid connection on a power network is avoided, the loss caused by electric energy remote transmission is reduced, and the energy consumption cost of the community and the family is greatly reduced.
Drawings
The invention is further illustrated with reference to the following figures and examples:
FIG. 1 is a block diagram of an intelligent community coordination scheduling system and method based on an energy router.
Fig. 2 is a block diagram of a home energy router architecture.
FIG. 3 is a block diagram of a community energy router architecture.
Fig. 4 is a configuration diagram of the home router power conversion module.
Fig. 5 is a diagram of the community router power conversion module.
FIG. 6 is a diagram of a simulated intelligent community energy interconnection framework.
Detailed Description
As shown in fig. 1 to fig. 3, the intelligent community coordination scheduling system based on the energy router includes a home energy router and a community energy router;
the household energy router comprises a first power conversion module, a first control module, a first energy monitoring module, a first information storage module, a valve control module and a first communication system;
the community energy router comprises a second power conversion module, a second central control module, a second energy monitoring module, a second information storage module and a second communication system;
and the first communication system and the second communication system are in interactive connection with the cloud platform intelligent community management system.
The first power conversion module, as shown in fig. 4, includes:
the first AC-DC module is connected with the AC220V, and the first DC-DC module is connected with the energy storage device and the direct current electric equipment;
a second AC-DC module connected with the photovoltaic and a first DC-AC module connected with the AC electric equipment;
the third AC-DC module is connected with the wind power, and the frequency conversion circuit is connected with the normal frequency electric equipment;
the first AC-DC module, the second AC-DC module, the third AC-DC module, the first DC-AC module and the frequency conversion circuit are all connected to a 200V DCBUS, and power measurement units are arranged at the connection nodes;
the power measurement unit collects and calculates the active power, the reactive power, the voltage and current effective value, the power factor, the phase angle and the frequency of the line by using a high-precision electric energy metering chip RN 8302.
The first AC-DC module, the second AC-DC module, the third AC-DC module, the first DC-AC module and the frequency conversion circuit are all connected with the first control module.
The first power conversion module is used for realizing that in a household: the method comprises the steps of alternating current-direct current conversion, buck-boost conversion, frequency conversion and electric energy quality adjustment in electric energy input/output of photovoltaic power, wind power, electric equipment, energy storage equipment and electric automobiles.
And the first control module controls other modules to work according to the signal transmitted by the first communication system. The first control module uses an STM32F401RB singlechip as a core, and is used for controlling the first power conversion module and the valve control module and processing signals collected by the first energy monitoring module.
The first communication system adopts a WiFi module and a 88W8801 chip with the model of Marvell, and accesses the equipment to the Internet by utilizing a TCP/IP protocol, so that information interaction between a user side cloud platform of the cloud platform intelligent community management system and the family energy router can be realized.
The first energy monitoring module is used for monitoring the voltage, the current, the active power, the reactive power, the electric quantity of the energy storage equipment, the output of power generation of various energy sources, the use amount of natural gas, the heat supply flow, the indoor temperature and the temperature of the natural gas water heater in real time when the household electric equipment is used. The first energy monitoring module includes:
firstly, for monitoring electric quantity, an electric quantity acquisition chip ATT7022E is adopted to collect data through current sampling and voltage sampling; meanwhile, various circuits including voltage, current, power factors and the like are integrated, and all electric energy parameters and digital signals in the circuit can be acquired and analyzed;
secondly, monitoring the heating load by adopting an intelligent heat meter;
thirdly, monitoring the air supply quantity by adopting an intelligent air quantity meter;
and fourthly, monitoring the temperature in real time through a DS18B20 digital temperature sensor.
The first information storage module is used for storing the data acquired by the first monitoring module in real time; the first information storage module adopts an AT24C02 chip to store the collected energy utilization information in real time, and can call the stored energy utilization information AT any time through a related network protocol.
The valve control module is controlled by a logic gate circuit, and when receiving an energy using signal, the valve control module controls the execution element to realize the opening and closing of the natural gas and heat supply house inlet valve.
The second power conversion module is shown in fig. 5, and includes:
a fourth AC-DC module connected to AC 220V;
the fifth AC-DC module is connected with the green gymnasium fitness power generation equipment;
a second DC-AC module connected to the user network;
the fourth AC-DC module, the fifth AC-DC module and the second DC-AC module are all connected to the 200V DCBUS, and power measuring units are arranged at the connection nodes.
The power measurement unit collects and calculates the active power, the reactive power, the voltage and current effective value, the power factor, the phase angle and the frequency of the line by using a high-precision electric energy metering chip RN 8302.
The fourth AC-DC module, the fifth AC-DC module and the second DC-AC module are all connected with the second control module.
Second power conversion module function: the method is used for realizing alternating current-direct current conversion, buck-boost conversion and electric energy quality regulation in electric energy input/output of community fitness power generation equipment, community electric equipment and energy storage equipment; and secondly, interconnection between the power grid and the user is realized.
And the second central control module and the second control module also use an STM32F401RB singlechip as a core and are used for controlling the second power conversion module.
The second energy monitoring module is used for monitoring the total power utilization condition of the community and the real-time power generation condition of the green gymnasium in real time; the monitoring of the electric quantity adopts an electric quantity acquisition chip ATT7022E to collect data through overcurrent and voltage sampling.
The second information storage module is used for storing the data collected by the second energy monitoring module in real time; the second information storage module adopts an AT24C02 chip to store the collected energy utilization information in real time and can call the stored energy utilization information AT any time through a related network protocol.
The second communication system adopts a WiFi module, and a 88W8801 chip with the model of Marvell, and realizes community cloud platform information interaction between the community router and the cloud platform intelligent community management system.
The cloud platform intelligent community management system is used for realizing energy condition prediction, power generation output prediction of various energy sources, coordinated scheduling, online transaction, information processing, information pushing, electricity-electricity transaction, electricity-gas transaction, electricity-heat transaction, big data analysis user power utilization planning and intelligent energy-saving early warning.
The first energy monitoring module adopts a real-time metering mode for monitoring household electricity, heat and gas consumption.
The community energy router is interconnected with a heat supply plant and a green gymnasium;
the heat supply plant comprises a ground pump heat supply system, the ground pump can obtain heat from air, water or soil in the nature, and the consumed electric energy can be converted into heat energy which is 3 times or even more than 3 times through electric power acting;
the green gymnasium includes the power generation facility of fitness equipment installation, produces the distributed energy of electric energy through manpower acting. The exercise equipment equipped with the power generator is described in the Chinese patent "equipment for generating electricity efficiently using kinetic energy of exercise" (application No. 201610352457.8; CN 105840439B).
The community energy router is interconnected with a heat supply plant and a natural gas producer to realize electric gas or electric heat conversion, and the gas supply plant and the heat supply plant purchase surplus electricity in a limited bidding game mode.
The cloud platform intelligent community management system is composed of a PC (personal computer) end and intelligent community energy management software, and can realize functions:
the method comprises the following steps: performing energy trading based on an energy trading platform set up under the Internet environment;
and step two: the photovoltaic and wind power generation prediction model can be used for predicting the day-ahead output of each household distributed energy generation;
③: according to the prediction data of the power generation output of the family in the day and the prediction of the energy consumption condition, energy pre-scheduling is carried out on the basis of a community energy coordination scheduling model of an energy router, a scheduling plan is formulated and pushed to a user side, the charging and discharging time of energy storage equipment, the power consumption time of household appliances and the charging time of electric vehicles are optimized, the energy consumption plan is corrected through the community energy coordination scheduling model according to the actual power generation output condition acquired by the energy router, and the lowest energy consumption cost of the community is achieved.
For photovoltaic and wind power generation prediction, a plurality of models which are more developed and mature are available, and the method is not specifically described; the community energy coordination scheduling method of the community energy coordination scheduling model based on the energy router is detailed in the following implementation steps.
The community coordination scheduling method based on the energy router comprises the following steps:
the method comprises the following steps: the energy consumption cost W of the intelligent community is the minimum, coordinated scheduling is carried out, and the cost function is as follows:
minW＝W1-W2+W3+W4 (1)
wherein, W1Is the electricity charge of the community, W2Is a profit from selling electric energy to heat and gas supply plants, W3Is the gas charge of the community, W4Is the heat cost of the community;
step two: for communities implementing photovoltaic power generation, wind power generation and manpower power generation, the power consumption cost is as shown in a formula:
wherein, W1Is the electricity charge of the community, the J (t) price is the electricity price at time t, Pgm(t) represents the purchase of electrical energy from the grid, Pgf(i, t) refers to the photovoltaic output power, and θ is the photovoltaic power per kilowatt-hour supplementary coefficient.
Step three: when the power generation output of various clean energy sources is large, PgmAnd (t) may be negative, but the feedback of the surplus energy generated by the distributed energy sources to the power grid may have adverse effects on the power quality of the power distribution network in order to reasonably utilize the energy. Through energy router and the near natural gas producer of community, the heat supply factory interconnection, directly sell the electric energy, realize electricity change gas or electricity change heat, the surplus electricity is purchased through limited bid game mode to gas supply factory and heat supply factory, and both sides bid must not be less than the community price (t) of selling electricity, furthest's reduction community's energy cost, profit is as follows:
wherein eta (t) is electricity-to-gas selling price, mu (t) is electricity-to-heat selling price, and price (t) is community electricity selling price.
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 the number of residential communities, Pbuy(i, t) and Psell(i, t) means Purchase Capacity and saleAbility, PL(i, t) is the total load, Pcd(i, t) and Pfd(i, t) charging and discharging Power of the energy storage device, Pfl(i, t) refers to the wind power generation output power, Prl(i, t) is the output power of the manpower generation, Pa(i,t)，Pb(i, t) and Pc(i, t) is the power consumption of the uninterruptible, core and temperature controlled loads, Pj(i, t) is the net load of the home.
Step four: the selling price of the electric energy in the intelligent community adopts the electricity price J in the valleyfgIn order to ensure the fair selling price, the distance l (i, J) between the electric energy seller and the electric energy buyer in the intelligent community energy interconnection network in the energy interconnection network is calculated by combining the Dijkstra algorithm, and the electricity price J is calculatedfgAnd (6) correcting.
And L is the maximum value of the interconnection distance between any two families in the community energy interconnection network.
When the net load is positive, the family needs to buy the electric energy, otherwise, the electric energy can be sold:
wherein the content of the first and second substances,
and
is the maximum selling and purchasing real power, which is typically equal to the maximum operating power of the home energy router. ρ is a unit of a gradientsellAnd ρbuyIs a variable (0/1) that represents the status of the trade.
Wherein the content of the first and second substances,
and
is the upper limit of the active power for charging and discharging the energy storage device, DcdAnd DfdIs a variable (0/1) indicating the state of charge and discharge. Dcd(i,t)+Dfd(i, t) is less than or equal to 1, the simultaneous charge and discharge is inhibited,
is the maximum reserve of the energy storage device. The practical use range thereof is set to 20% to 100% in consideration of the life of the energy storage device.
Power constraint of core load:
wherein
Is the real-time active power of the core load,
and
is the upper and lower active power limits of the core load,
and
representing the core load start time and end time.
Power constraint of temperature control load:
wherein the content of the first and second substances,
and
is the upper and lower active power limits of the temperature controlled load,
and
indicating the start and end times, T, of the temperature-controlled loadmaxAnd TminIs the upper and lower temperature requirements of the temperature control load. During operation of the temperature controlled load, the minimum power consumption may be 0 when the temperature demand is met. Otherwise, the power consumption is the rated power of the temperature controlled load.
Uninterruptible loads operate at rated power and such loads must be powered down after a period of time has elapsed since they are initially used, such as in a household appliance, a washing machine, or the like.
The cloud platform intelligent community management system is based on a big data analysis technology and an intelligent energy-saving early warning technology for the management of natural gas and heat supply.
According to the invention, natural gas is mainly used for water heaters and kitchens, and the water temperature of various water heating equipment is intelligently managed according to the historical data of the water temperature of users, so that the consumption of the natural gas is reduced; and predicting the real-time gas consumption of the user according to historical data of the gas consumption of the kitchen, if the real-time monitored gas consumption exceeds 120% of the predicted data, giving an early warning to the user through a communication system so as to reduce natural gas waste caused by forgetting to close a gas valve by the user, and monitoring the natural gas consumption TRQ (i, t) of the family in real time through a family router.
Step five: the total natural gas cost of the intelligent community management system through the cloud platform is as follows:
in the formula, W3Is the natural gas fee for the community, β (t) is the natural gas price at time t;
the invention manages heat supply, monitors indoor temperature according to the setting of temperature comfort level of a user per se for heat supply in winter, ensures that the temperature is maintained in a temperature range with good user comfort level, avoids discomfort caused by over-low or over-high temperature and energy waste caused by over-high temperature, can analyze and predict intelligent regulation temperature according to big data, comprehensively considers user experience, and monitors the heat consumption Q of a family in real time through the family energy routerdr(i,t)。
The total heat supply cost of the intelligent community management system through the cloud platform is as follows:
wherein, W4Is the heat supply fee of the community,
is the heat price at time t.
To demonstrate the feasibility of the invention, an intelligent community containing 10 households was selected as the simulation case, and the energy interconnection framework is shown in fig. 6. Photovoltaic capacity of each family in the simulated intelligent community is 2kw, fan capacity is 2kw, the electric automobile ownership rate is 60%, the electric automobile is generally used after 07:00, 19: and charging after 00 hours. In addition, in order to ensure user comfort, the indoor temperature needs to be maintained at 22-26 ℃ during heating. Each electrical device for houses has a core load: one set of lighting lamp system and security supervisory equipment, uninterruptible load: a washing machine and an electric cooker, wherein the load can be powered off after a period of time, and the temperature control load is as follows: a refrigerator and an air conditioner, such loads being adjustable according to temperature requirements. The gas equipment of each house is provided with a natural gas cooking stove and a natural gas water heater, and the heat utilization device is provided with a water-conducting heat supply system.
The following simulation case simulation analysis, the following assumptions are made for the energy use price:
price of electricity consumption: the price was 0.86 yuan/kWh during peak periods (11: 00-13: 00 and 17: 00-21: 00), 0.54 yuan/kWh during flat periods (07:00-11:00, 13: 00-17: 00 and 21: 00-24:00) and 0.315 yuan/kWh during valley periods (00: 00-07: 00).
The natural gas price peak period (11:00-12:30 and 17: 00-20: 00) price is 4.5 yuan/cubic, and the rest time price balancing area is 3 yuan/cubic.
The peak price of the warm price (19:00-24:00) is 1.4 yuan/KWh, and the average price of the rest time is 0.8 yuan/KWh.
Three cases were considered to study the impact of the invention on community energy use cost:
case 1: considering the intelligent community coordination scheduling strategy based on the energy router;
case 2: the community energy management strategy considers the condition of grid connection of all power generation;
case 3: a community energy management strategy considering a self-service mode;
by simulating the situations of Case1, Case2 and Case3 and comparing according to energy consumption cost, the intelligent community coordination scheduling management strategy based on the energy router is considered to be reduced by 21% and 30.6% compared with the total energy consumption cost of Case2 and Case3, the feasibility and the economical efficiency of the energy consumption management strategy are illustrated, and the energy consumption cost of the community can be greatly reduced.
Table 1 daily energy cost profiles for Case1, Case2, and Case3
Claims (6)
1. The intelligent community coordination scheduling system based on the energy router is characterized by comprising a family energy router and a community energy router;
the household energy router comprises a first power conversion module, a first central control module, a first energy monitoring module, a first information storage module, a valve control module and a first communication system;
the first central control module is respectively connected with the first power conversion module, the first energy monitoring module, the first information storage module, the valve control module and the first communication system;
the community energy router comprises a second power conversion module, a second central control module, a second energy monitoring module, a second information storage module and a second communication system;
the second central control module is respectively connected with the second power conversion module, the second dual-purpose energy monitoring module, the second information storage module and the second communication system;
the first communication system and the second communication system are in interactive connection with the cloud platform intelligent community management system;
the coordinated scheduling method comprises the following steps:
step 1: the energy consumption cost W of the intelligent community is the minimum, coordinated scheduling is carried out, and the cost function is as follows:
minW＝W1-W2+W3+W4 (1)
wherein, W1Is the electricity charge of the community, W2Is a profit from selling electric energy to heat and gas supply plants, W3Is the natural gas fee for the community; w is a group of4Is the heating charge for the community;
and 2, step: for communities implementing photovoltaic power generation, wind power generation and manpower power generation, the power consumption cost is shown as a formula:
wherein J: (t) price means the electricity price at time t, Pgm(t) represents the purchase of electrical energy from the grid, Pgf(i, t) refers to the photovoltaic output power, and theta is the photovoltaic electric energy per kilowatt-hour supplementary coefficient;
and 3, step 3: through natural gas producer near energy router and the community, the heat supply factory interconnects, directly sells the electric energy, realizes that electricity changes gas or electricity and changes heat, and the surplus electricity is bought through limited price competition game mode to gas supply factory and heat supply factory, and both sides bid must not be less than the community and sell the price (t) of electricity, furthest's reduction community's energy cost, profit as follows:
wherein eta (t) is electricity-to-gas selling price, mu (t) is electricity-to-heat selling price, price (t) is community electricity selling price;
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), wherein: i ∈ N (5);
PL(i,t)＝Pa(i,t)+Pb(i,t)+Pc(i,t) (6)；
wherein N is the number of residential communities, Pbuy(i, t) and Psell(i, t) means Purchase Capacity and sales Capacity, PL(i, t) is the total load, Pcd(i, t) and Pfd(i, t) charging and discharging Power of the energy storage device, Pfl(i, t) refers to the wind power generation output power, Prl(i, t) is the output power of the manpower generation, Pa(i,t)，Pb(i, t) and Pc(i, t) is the power consumption of the uninterruptible, core and temperature controlled loads, Pj(i, t) is the net load of the household;
and 4, step 4: the selling price of the electric energy in the intelligent community adopts the electricity price J in the valleyfgIn order to guarantee the fairness of selling prices, the Dijkstra algorithm is combined to calculate the intelligence between the seller and the buyer of the electric energy in the energy InternetDistance l (i, J) of energy interconnection network of energy community, and electricity price JfgCorrecting;
wherein L is the maximum value of the interconnection distance between any two families in the community energy interconnection network;
when the net load is positive, the family needs to buy the electric energy, otherwise, the electric energy can be sold:
wherein the content of the first and second substances,
and
is the maximum sales and purchase real power, typically equal to the maximum working power of the home energy router; ρ is a unit of a gradientsellAnd ρbuyIs a variable 0/1 for indicating the status of the trade;
wherein the content of the first and second substances,
and
is the upper limit of the active power for charging and discharging the energy storage device, DcdAnd DfdA variable 0/1 indicating the state of charge and discharge; dcd(i,t)+DfdWhen (i, t) is less than or equal to 1, forbidding simultaneous charge and discharge,
is the maximum reserve of the energy storage device;
and 5: the total cost of the natural gas through the cloud platform intelligent community management system is as follows:
wherein β (t) is the natural gas price at time t;
the total heat supply cost of the intelligent community management system through the cloud platform is as follows:
wherein the content of the first and second substances,
is the heat price at time t.
2. The energy router-based intelligent community coordinated scheduling system of claim 1, wherein:
the first power conversion module is used for realizing that in a family: alternating current-direct current conversion, buck-boost conversion, frequency conversion and electric energy quality regulation in electric energy input/output of wind power, photovoltaic, electric equipment and energy storage equipment;
the first central control module is used for controlling the first power conversion module and the valve control module and processing signals collected by the first energy monitoring module;
the first energy monitoring module is used for monitoring the voltage, the current, the active power, the reactive power, the electric quantity of the energy storage equipment, the output of power generation of various energy sources, the use amount of natural gas, the heat supply flow, the indoor temperature and the temperature of the natural gas water heater in real time when the household electric equipment is used;
the first information storage module is used for storing the data acquired by the first monitoring module in real time;
the valve control module is used for controlling natural gas and heat supply to enter a house;
the second power conversion module is used for realizing alternating current-direct current conversion, buck-boost conversion and power quality adjustment in power input/output of community fitness power generation equipment, community electric equipment and energy storage equipment; the interconnection between a power grid and a user is realized;
the second central control module is used for controlling the second power conversion module;
the second energy monitoring module is used for monitoring the total energy utilization condition of a community and the real-time power generation condition of a green gymnasium in real time;
the second information storage module is used for storing the data collected by the second energy monitoring module in real time;
the cloud platform intelligent community management system is used for realizing energy condition prediction, power generation output prediction of various energy sources, coordinated scheduling, online transaction, information processing, information pushing, electricity-electricity transaction, electricity-gas transaction, electricity-heat transaction, big data analysis user power utilization planning and intelligent energy-saving early warning.
3. The energy router-based intelligent community coordinated scheduling system of claim 1, wherein:
the first power conversion module, comprising:
the first AC-DC module is connected with the AC220V, and the first DC-DC module is connected with the energy storage device and the direct current electric equipment;
a second AC-DC module connected with the photovoltaic and a first DC-AC module connected with the AC electric equipment;
the third AC-DC module is connected with the wind power, and the frequency conversion circuit is connected with the normal-frequency electric equipment;
the first AC-DC module, the second AC-DC module, the third AC-DC module, the first DC-AC module and the frequency conversion circuit are all connected with the first control module;
the second power conversion module, comprising:
a fourth AC-DC module connected to AC 220V;
the fifth AC-DC module is connected with the green gymnasium fitness generating equipment;
a second DC-AC module connected to the user network;
the fourth AC-DC module, the fifth AC-DC module and the second DC-AC module are all connected with the second control module.
4. The intelligent community coordination scheduling system based on energy router of claim 1, wherein:
the first energy monitoring module adopts a real-time metering mode for monitoring household electricity, heat and gas consumption.
5. The intelligent community coordination scheduling system based on energy router of claim 1, wherein:
the community energy router is interconnected with an air supply plant, a heat supply plant and a green gymnasium;
the heat supply plant comprises a ground pump heat supply system, the ground pump can obtain heat from air, water or soil in the nature, and the consumed electric energy can be converted into heat energy which is 3 times or even more than 3 times through electric power acting;
the green gymnasium comprises a power generation device installed on the gymnasium equipment, and the power generation device generates distributed energy through manpower acting;
the community energy router is interconnected with a heat supply plant and a natural gas producer to realize electricity-to-gas exchange or electricity-to-heat conversion, and the gas supply plant and the heat supply plant purchase surplus electricity in a limited bidding game mode.
6. The energy router-based intelligent community coordinated scheduling system of claim 1, wherein:
in step 4, power constraint of core load:
wherein:
is the real-time active power of the core load,
and
is the upper and lower active power limits of the core load,
and
representing a core load start time and an end time;
power constraint of temperature controlled load:
wherein the content of the first and second substances,
and
is the upper and lower active power limits of the temperature controlled load,
and
shows the start and end times, T, of the temperature-controlled loadmaxAnd TminIs the upper and lower temperature requirements of the temperature control load; during operation of the temperature controlled load, the minimum power consumption may be 0 when the temperature demand is met; otherwise, the power consumption is the rated power of the temperature control load;
uninterruptible loads operate at rated power and it takes a period of time for such loads to become powered down after they are initially used.
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