CN109598429A - A kind of island microgrid intelligent dispatching system and dispatching method - Google Patents
A kind of island microgrid intelligent dispatching system and dispatching method Download PDFInfo
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Abstract
The invention discloses a kind of island microgrid intelligent dispatching systems, including multiple subscriber units, multiple generator units, multiple cogeneration units, multiple boiler units；The subscriber unit includes electrical equipment or electric appliance, photovoltaic generating module, wind power generation module, electric car；Cogeneration unit externally exports electric energy and external heat supply using natural gas as raw material, and the heat supply and power supply of cogeneration unit are located in feasible operation interval；Boiler unit is using natural gas as raw material, external heat supply.The invention also provides a kind of dispatching methods, intelligence computation module passes through intelligent accelerating algorithm and subscriber unit, generator unit, cogeneration unit, boiler unit is selected to purchase sale of electricity and purchase gas strategy, and each unit carries out distributed purchase sale of electricity transaction, heat supply transactions through block catenary system.The present invention sets price driven, incentive mechanism, promotes the consumption of generation of electricity by new energy.Power generation and electricity consumption are only in island insider transaction, to reduce power Transmission and heat conveying cost.
Description
Technical field
The invention belongs to dispatching of power netwoks fields, and in particular to a kind of island microgrid intelligent dispatching system and dispatching method.
Background technique
In recent years, as new energy power generation technology is grown rapidly, application is throughout to every family.Although increasingly
More places starts to be laid out distributed new electricity generation system, but since the uncertain factors such as itself and weather, weather are closely related,
It causes new energy power generation technology to there is significantly randomness, prestige is caused to the reliability service of power grid after in turn resulting in new-energy grid-connected
The side of body；Since its randomness is big, fluctuation of service, generation of electricity by new energy is also not public receiving and consumption, abandons electricity and happens occasionally.Separately
Outside, since user is to the opacity of power generation situation, cause user can not the reasonable arrangement electricity consumption time, when causing load end electricity consumption
Between concentrate, biggish impact is caused to power grid.It can integrate and solve the above problems there are no technological means in the prior art.In addition,
Traditional power grid is using the monitoring method of centralization, and not only unfavorable to its reliability operation, the power information needs of user are sent to
Centralized supervisory and control equi be easy to cause privacy of user leakage problem.
It can be seen that there are users to concentrate electricity consumption, privacy of user leakage for the prior art, the electricity of generation of electricity by new energy is difficult for
Masses receive and the technical problems such as consumption.
Summary of the invention
Present invention aim to address the above problem, a kind of island microgrid intelligent dispatching system and dispatching method are provided,
Electricity price market allotment mechanism and payments mechanism pass through block catenary system and complete, and the electricity demand of each user uses heat demand
Amount and power generation measurer are measured or are predicted by intelligence instrument；By the distributed book keeping operation function of block chain module, or by
The store function and information exchange function of intelligence computation module record the acquired information of intelligence instrument, are based on these information,
It by the super excess calculation of the surplus of each user's generated energy or demand and is sent by each distributed intelligence computing module
To the corresponding block chain metering units of each user, at the same by the power generation of each user and demand data be stored in it is corresponding
In storage unit in block chain metering units, or directly above-mentioned data are stored in intelligence computation module, as part
Information.It can preferably protect each user's while allowing power grid to make power supply, electric generation management in real time by this kind of mode
Privacy information.Wherein, the network topology of each distributed intelligence computing module composition is connection.For a user, basis
Electricity price, combustion gas valence carry out power scheduling, consistent with generator unit, cogeneration unit interests dispatch action to take.
The technical scheme is that a kind of island microgrid intelligent dispatching system, multiple users including interconnection are single
First, multiple generator units, multiple cogeneration units and multiple boiler units, subscriber unit, generator unit, cogeneration of heat and power list
Member is connected two-by-two between boiler unit, subscriber unit, generator unit, cogeneration unit independently in main power grid, electric energy and
Thermal energy is only exchanged and is dissolved in region；The subscriber unit includes electrical equipment or electric appliance, intelligence instrument, photovoltaic power generation mould
Block, wind power generation module, electric car, intelligence instrument measure electricity, the heat of subscriber unit generated energy and consumption, and predict to use
Electricity demand, the heat demand amount at family；Cogeneration unit externally exports electric energy and external heat supply using natural gas as raw material,
The heat supply and power supply of cogeneration unit are located in feasible operation interval；Boiler unit is using natural gas as raw material, external heat supply.
The island microgrid intelligent dispatching system further includes calculating and memory module, and it includes multiple for calculating with memory module
Intelligence computation module, the intelligence computation module are based on electricity price, combustion gas valence, conveying cost, distributed network, calculate in a distributed manner
The electricity that subscriber unit is bought or sold from generator unit, cogeneration unit, other users unit, from each cogeneration of heat and power
The heat that unit or boiler unit are bought, and purchase sale of electricity instruction, transmission of electricity instruction and heat supply instruction are formed, send corresponding list to
Member is heated without electric heating equipment in subscriber unit using centralized system, and the electricity that subscriber unit is bought is only used for non-heat demand,
The heat demand of subscriber unit is met by boiler unit heat supply or cogeneration unit, is bought from each cogeneration unit
Heating load and electricity, buy electricity from generator unit, heat bought from boiler unit, in scheduling phase a few days ago, pass through intelligence
Energy computing module selects power purchase and purchase gas strategy, guarantees systematically to run with the maximized working method of economic interests；Real-time
In operational process, it is based on tou power price, by intelligence computation module, the use time for formulating electric appliance or electrical equipment for user is counted
It draws, guarantees that user plans the use time of each electric appliance or electrical equipment in such a way that economic interests are maximized.
A kind of dispatching method of island microgrid intelligent dispatching system, the number of distributed intelligence computing module and user are single
The sum of member, generator unit, cogeneration unit, the number of boiler unit are equal, the corresponding user of each intelligence computation module
Unit or generator unit or cogeneration unit or boiler unit, and authenticated by block chain, the electricity transaction between unit, heat
Amount supply is carried out through block catenary system and record storage, passes through purchase electricity sales amount information, the heat between block catenary system acquiring unit
Measure information provision, cogeneration unit, the purchase tolerance information of boiler unit；By each intelligence computation module composition distributed network,
The corresponding network topology of the distributed network is connection, communication of equal value between the intelligence computation module of connection；Subscriber unit
Heat demand by cogeneration unit, boiler unit supply, preferentially supplied by cogeneration unit；In scheduling phase a few days ago,
The intelligence computation module is by accelerating intelligent algorithm to select subscriber unit, generator unit, cogeneration unit, boiler unit purchase
Sale of electricity and purchase gas strategy, the acceleration intelligent algorithm specifically includes the following steps:
(1) the intelligence computation module respectively from block catenary system authenticate, obtain other intelligence computation modules calculating from
Other users unit, generator unit, cogeneration unit purchase of electricity information are purchased tolerance information and are believed to the electricity sales amount of other units
Breath, the heat demand of subscriber unit；
(2) each intelligence computation module corresponds to the purchase of electricity information obtained based on it, purchases tolerance information and electricity sales amount information,
It calculates and stores corresponding collaborative parameters；
(3) each intelligence computation module corresponds to the purchase of electricity information obtained based on it, purchases tolerance information and electricity sales amount information
And the last resulting corresponding collaborative parameters of calculating, current corresponding electricity price and combustion gas valence, it calculates and stores corresponding purchase
Information about power purchases tolerance information and electricity sales amount information,
(4) whether the difference of the purchase electricity sales amount, purchase tolerance that judge intelligence computation module twice adjacent calculation no more than sets
Determine threshold value；
(4a) is if the purchase electricity sales amount of twice adjacent calculation, the difference of purchase tolerance are no more than given threshold, each intelligence meter
Purchase electricity sales amount, the purchase tolerance information that module submits intelligence computation module to calculate to block catenary system are calculated, is executed step (5)；
(4b) returns to step (1) if the purchase electricity sales amount of twice adjacent calculation or the difference for purchasing tolerance are more than given threshold；
(5) each subscriber unit, generator unit, cogeneration unit, the boiler unit Distributed Acquisition from block catenary system
Its corresponding last time calculates gained purchase of electricity information, purchases tolerance information and electricity sales amount information, and carry out based on the information
Power generation and the production of heat supply thermal energy；
(6) each unit carries out distributed purchase sale of electricity transaction, heat supply transactions through block catenary system, carry out electricity supply,
Heat supply.
The step (2) specifically includes the following steps:
(2a) successively numbers multiple subscriber units, multiple generator units, multiple cogeneration units, multiple boiler units
The N that is 1,2 ..., wherein N is the sum of subscriber unit, generator unit, cogeneration unit, the number of boiler unit；
Unit i, i=1,2 ... the N that (2b) is i for number, when it is subscriber unit or generator unit or cogeneration of heat and power
When unit, the electricity collaborative parameters of its corresponding intelligence computation module i are iterated to calculate by following formula,
WhereinResulting collaborative parameters value, g are calculated for unit i kth timeiFor the current generated energy of unit i, diFor unit i
Current power demand,The charge value that resulting unit i is sold to unit j is calculated for kth time,Gained is calculated for kth time
The charge value sold to unit i of unit j, selected electricity collaborative parameters when calculating for the first timeInitial value
(2C) for unit i, when it is cogeneration unit or boiler unit, corresponding intelligence computation module i passes through
Following formula iterates to calculate its heat collaborative parameters,
WhereinResulting heat collaborative parameters are calculated for kth time, h is the sum of the heat demand of each unit,For kth time
The purchase tolerance of resulting unit i is iterated to calculate, wherein aiIt is imitated for corresponding cogeneration unit or the energy conversion of boiler unit
Rate, the initial value of selected heat collaborative parameters when calculating for the first time
The step (3) specifically includes following steps,
(3a) establishes performance index function c according to current electricity price, combustion gas valence, for characterizing the investment consumption of power grid,
Wherein pijIt is unit i to the electricity price of unit j sale of electricity；If unit i or unit j is boiler unit, pij=0；niFor
Unit i buys the gas price of natural gas, siTo purchase tolerance；
(3b) is updated for unit i, by its corresponding intelligence computation module i by following formula iteration
Wherein, argmin { } expression makes function in braces obtain the smallest corresponding xijAnd siValue, α, β be often system
Number,The charge value that resulting unit i is sold to unit j is calculated for kth step, selected initial value when calculating for the first timeWith
It is related to the generator unit of solar power generation or wind-power electricity generation to the sale of electricity price p of other unit sales of electricityijLower than not
It is related to the generator unit of solar power generation or wind-power electricity generation to the sale of electricity price p of other unit sales of electricityji。
Beneficial effects of the present invention:
(1) information exchange, subscriber unit, generator unit, thermoelectricity are carried out by using block catenary system, intelligence computation module
Cogeneration unit, boiler unit can carry out information exchange, thus its discovery and biography outwardly when failure occurs between any two
It send and is more easier, to greatly enhance the reliability of power grid.Simultaneously as the state of unit can quickly be transferred to block chain
System and corresponding intelligence computation module can carry out fault diagnosis using intelligence computation module faster, to accelerate event
Hinder diagnosis efficiency, to enhance the reliability of power grid.Intelligence computation module can be sent in real time by network to faulty unit
Instruction, for debugging so that power system restoration is normal, to accelerate trouble shooting procedure.
(2) dispatching method based on intelligence computation module, the purchase sale of electricity information of user, electricity consumption timetable is without useful in institute
It is directly transmitted between family, to preferably protect the privacy of user.
(3) dispatching method based on intelligence computation module saves labor without the scheduling a few days ago of artificial progress electricity market
Dynamic resource；
(4) effectively enhance the reliability of operation of power networks.Since user can be power generation end, electricity consumption end can be, it can also be with
It is both power generation end and user terminal, so that the flexible dispatching of electric power can be realized, reduces conveying distance, power generation and power consumption efficiency obtain
It is promoted.By the electrical allotment of electric system, the utilization efficiency of the energy can be improved.
(5) price driven, incentive mechanism are set, the consumption of generation of electricity by new energy is promoted.
(6) by intelligence computation module, power purchase and purchase can be selected under the premise of protecting user and power generation end data privacy
Gas strategy, and period planning is used for user's formulation electric appliance, the cost and CO2 emission at power generation end are both reduced, is also made
User participates in dispatching by reasonable arrangement electric appliance using the time simultaneously, further reaches to reduce and imitate to the technology that power grid impacts
Fruit；Meanwhile the combination of both technological means also can rationally reduce the electric cost of user.I.e. by intelligence computation module come for
Generate electricity end, heat supply end selection power purchase and purchase gas strategy, and uses period planning for user's formulation electric appliance, can play to power generation
End, heat supply end, user bring economic benefit, and further enhance the technical effect of electric network reliability.
(7) using the intelligent accelerating algorithm selection power purchase and purchase gas strategy proposed in the present invention, it is ensured that entire decision
The reliability of process.Although the power load of load side is time-varying in real-time electric power scheduling process, but as long as its variation speed
Rate is lower than the calculating convergence rate proposed by the present invention for accelerating intelligent algorithm, when which can handle these in real time
Varying duty, to ensure that the reliability of power scheduling process.
(8) power generation, electricity consumption, heat supply are only in island insider transaction, to reduce power Transmission and heat conveying cost.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples.
Fig. 1 is physical connection schematic diagram of the invention；
Fig. 2 is information connection schematic diagram of the invention；
Fig. 3 is the flow diagram of dispatching method of the invention.
Specific embodiment
Embodiment one
As shown in Figure 1 and Figure 2, a kind of island microgrid intelligent dispatching system, multiple subscriber units including interconnection,
Multiple generator units, multiple cogeneration units and multiple boiler units, subscriber unit, generator unit, cogeneration unit, pot
It is connected two-by-two between furnace unit.Wherein the subscriber unit as unit of family includes household electrical appliance, such as refrigerator, washing machine, is washed
The mechanical, electrical lamp of bowl, television set, further include intelligence instrument, photovoltaic generating module, wind power generation module and electric car, intelligence instrument
Electricity, the heat of subscriber unit generated energy and consumption are measured, and predicts the electricity demand of user, heat demand amount；Thermoelectricity connection
Unit is produced using natural gas as raw material, can externally export electric energy and external heat supply, the heat supply and power supply of cogeneration unit are located at can
In capable operation interval；Boiler unit is using natural gas as raw material, external heat supply.
Island microgrid intelligent dispatching system further includes calculating and memory module, and calculating with memory module includes several distributions
Formula computing module, distributed computing module are used to calculate in a distributed manner based on electricity price, combustion gas valence, conveying cost, distributed network
The electricity each bought or sold from regional power grid as the subscriber unit of unit using family is bought from each cogeneration unit
Heating load, and formed power purchase/transmission of electricity instruction and heat supply instruction, send corresponding domestic consumer's unit to.Domestic consumer's unit
It is middle to be heated without electric heating equipment using centralized system, wherein the electricity bought is only used for the non-heat demand in family, heat demand
Met by boiler heat supplying or co-generation unit, the heating load and electricity bought from each cogeneration unit, from boiler
Heat is bought in unit, is selected power purchase and purchase gas strategy by distributed computing module in scheduling phase a few days ago, is guaranteed system
Ground is with the maximized working method operation of economic interests；During real time execution, it is based on tou power price, passes through distributed computing
Module, the period planning that uses of electric appliance is formulated for user, and guarantee user plans each electric appliance in such a way that economic interests are maximized
Use the time.Through the above scheme, the energy equilibrium of supply and demand of entire power grid is met.It combines the energy of each user super
It out and is short of, by distributed arithmetic, obtains optimum instruction, issue control instruction, control the power generation and transmission of electricity of each user.
It include using family as several power generations of unit and electricity consumption module, several electricity generation modules, several cogenerations of heat and power in system
Unit.Wherein using family to include household electrical appliance, such as refrigerator, washing machine, dish-washing machine etc. and can be again in the subscriber unit of unit
Raw energy electricity generation module, such as photovoltaic generating module, wind power generation module etc..Cogeneration unit, can be right using natural gas as raw material
Outer output electric energy and external heating and cooling, the heating and cooling of cogeneration unit and power supply are located in feasible operation interval,
The waste heat that power generation waste heat, cooling supply generate both participates in the transaction of block chain, carries out electric-gas scheduling by block chain, promotes the energy
Multiple dimensioned calling.When carrying out power scheduling, when electricity is inadequate, power scheduling is carried out according to following priority: first being met
Then the power demand of strategic user meets the power demand of other users.
Preferably, equipped with thermomotor, photovoltaic, wind-power electricity generation, electric car and elastic load etc. in subscriber unit.
Preferably, further include carbon dioxide certification link in distributed computing module, and include titanium dioxide in optimization aim
Carbon emission index can not only optimize cost control, can also promote making for clean energy resource by minimizing total economic indicator
With.
As shown in figure 3, a kind of control method of island microgrid intelligent dispatching system employed in embodiment, distributed
The number of computing module and equal, the Mei Gezhi of the sum of subscriber unit, generator unit, cogeneration unit, the number of boiler unit
The corresponding subscriber unit of energy computing module or generator unit or cogeneration unit or boiler unit, and recognized by block chain
Card, obtains it from other users unit, generator unit, thermoelectricity from corresponding subscriber unit, generator unit, cogeneration unit
Cogeneration unit purchase of electricity information, purchase tolerance information and the information that electricity is sold to other users unit；By each distributed computing mould
Block constitutes distributed network, and the corresponding network topology of the distributed network be to be connected to, the distributed computing module of connection it
Between communication of equal value.
In scheduling phase a few days ago, distributed computing module by accelerate intelligent algorithm select each subscriber unit, generator unit,
The power purchase of cogeneration unit and purchase gas strategy, accelerate intelligent algorithm specifically includes the following steps:
(1) distributed computing module is authenticated from block chain respectively, from corresponding subscriber unit, generator unit, cogeneration of heat and power
Obtained in unit previous step calculate it is resulting its from other users unit, generator unit, cogeneration unit purchase of electricity information, purchase
Tolerance information and the electricity sales amount information that electricity is sold to other users unit, the heat demand of each user；
(2) each distributed computing module corresponds to the purchase of electricity information obtained based on it, purchases tolerance information and electricity sales amount letter
Breath, calculates and stores corresponding collaborative parameters.For each user, when generated energy is greater than user power utilization demand, collaboration ginseng
Several values increases, and electric energy can externally be exported by representing it；When generated energy is less than user demand, which reduces, generation
Table its can dissolve electric energy.
(3) each distributed computing module corresponds to the purchase of electricity information obtained based on it, purchases tolerance information and electricity sales amount letter
Breath and previous step calculate resulting corresponding collaborative parameters, and current corresponding electricity price is calculated and deposited using intelligent algorithm is accelerated
Corresponding purchase of electricity information is stored up, tolerance information and electricity sales amount information are purchased,
(4) step (1)-(3) are repeated, until the resulting purchase of electricity information of twice adjacent calculation, purchase tolerance information and sale of electricity
The difference measured between information is no more than given threshold；
(5) its is corresponding most for Distributed Acquisition from block catenary system for each subscriber unit, generator unit, cogeneration unit
Once calculate resulting purchase of electricity information afterwards, purchase tolerance information and electricity sales amount information, and based on the information carry out power generation,
The production of heat supply thermal energy.
(6) each unit carries out distributed purchase sale of electricity transaction, heat supply transactions through block catenary system, carry out electricity supply,
Heat supply.
Preferably, include following sub-step in step (2):
Subscriber unit, generator unit, cogeneration unit, boiler unit number are successively 1,2 by (2a) ... N, wherein N
For the sum of subscriber unit, generator unit, cogeneration unit, the number of boiler unit；
(2b) is for unit i, when it is subscriber unit or generator unit or cogeneration unit, corresponding distribution
Computing module i iterates to calculate its electricity collaborative parameters by following formula,
WhereinResulting collaborative parameters value, g are calculated for unit i kth timeiFor the current generated energy of unit i, diFor unit
The current power demand of i,The charge value that resulting unit i is sold to unit j is calculated for kth time,Institute is calculated for kth time
The charge value that the unit j obtained is sold to unit i, selected electricity collaborative parameters when calculating for the first timeInitial value
(2c) for unit i, when it is cogeneration unit or boiler unit, corresponding distributed computing module i is logical
It crosses following formula and iterates to calculate its heat collaborative parameters,
WhereinResulting heat collaborative parameters are calculated for kth time, h is the sum of the heat demand of each unit,For kth time
The purchase tolerance of resulting unit i is iterated to calculate, wherein aiIt is imitated for corresponding cogeneration unit or the energy conversion of boiler unit
Rate, the initial value of selected heat collaborative parameters when calculating for the first time
It preferably, include following sub-step in step (3),
(3a) establishes performance index function c according to current electricity price, combustion gas valence, for characterizing the investment consumption of power grid are as follows:
Wherein pijFor the electricity price for numbering the unit sale of electricity that the unit for being i is j to number；If unit or number that number is i
Boiler module is corresponded to for the unit of j, then pij=0；niFor the gas price for the unit that number is i, siTo purchase tolerance；
(3b) is updated for unit i, by its corresponding intelligence computation module i by following formula iteration
Wherein, argmin { } expression makes function in braces obtain the smallest corresponding xijAnd siValue, α, β be often system
Number,The charge value that resulting unit i is sold to unit j is calculated for kth step, selected initial value when calculating for the first timeWith
Preferably, generator unit when being related to solar power generation unit or wind power generation unit is to other unit sales of electricity
Sale of electricity price pijLower than the unit for not being related to solar power generation unit or wind power generation unit power generation to other unit sales of electricity
Sale of electricity price pji。
Preferably, collaborative parametersInitial value, collaborative parametersInitial value,Initial value andInitial value can be optional.
In general, through the invention it is contemplated above technical scheme is compared with the prior art, can obtain down and show
Beneficial effect:
(1) information exchange is carried out by using block catenary system, subscriber unit is equivalent to energy subnet, between subscriber unit
Information exchange can be carried out, thus its discovery and transmission outwardly are more easier when failure occurs, to greatly enhance
The reliability of power grid.Simultaneously as the state of subscriber unit can quickly be transferred to block catenary system, distributed computing module,
Fault diagnosis can be carried out faster, so that efficiency of fault diagnosis is accelerated, to enhance the reliability of power grid.Block linkwork
System, distributed computing module can send in real time instruction to faulty subscriber unit by network, for debugging so that electricity
Network recovery is normal, to accelerate trouble shooting procedure.
(2) by the above-mentioned dispatching method based on block catenary system, the power generation information of domestic consumer, electricity consumption timetable need not
It is transmitted between all users, to preferably protect the privacy of user.
(3) by the above-mentioned dispatching method based on block catenary system, without the scheduling a few days ago of artificial progress electricity market,
Save labo r resources；
(4) effectively enhance the reliability of operation of power networks.Since subscriber unit can be power generation end, electricity consumption end can be,
It can be both power generation end and user terminal, for example have the home unit of renewable energy system, so that electric power can be realized
Flexible dispatching, reduce conveying distance, power generation and power consumption efficiency get a promotion.Pass through the electrical allotment of electric system, Ke Yiti
The utilization efficiency of high-energy source.
(5) price driven mechanism is set, the consumption of generation of electricity by new energy is promoted.
It (6), can be in protection user and the premise for the end data privacy that generates electricity by block catenary system, distributed computing module
Under, power purchase and purchase gas strategy are selected, and use period planning for user's formulation electric appliance, both reduces the cost and two at power generation end
Carbon emission is aoxidized, user is also made to participate in dispatching using the time by reasonable arrangement electric appliance simultaneously, further reaches reduction pair
The technical effect of power grid impact；Meanwhile the combination of both technological means also can rationally reduce the electric cost of user.That is, logical
Cross block catenary system, distributed computing module to select power purchase and purchase gas strategy for power generation end, heat supply end, and formulates electricity for user
Device uses period planning, can play and bring economic benefit to power generation end, heat supply end, user, and further enhancing power grid can
By the technical effect of property.
(7) power generation and electricity consumption are only in island insider transaction, to reduce power Transmission and heat conveying cost.
(8) using the acceleration intelligent algorithm selection power purchase of middle proposition of the invention and purchase gas strategy, it is ensured that entirely certainly
The reliability of plan process.Although the power load of load side is time-varying in real-time electric power scheduling process, but as long as it changes
Rate can be implemented to handle these lower than the calculating convergence rate proposed by the present invention for accelerating intelligent algorithm, the acceleration intelligent algorithm
When varying duty, to ensure that the reliability of power scheduling process.
Embodiment two
As shown in Figure 1 and Figure 2, island microgrid intelligent dispatching system includes the multiple users interconnected in the present embodiment
Unit, multiple generator units, multiple cogeneration units and multiple boiler units, subscriber unit, generator unit, cogeneration of heat and power list
It is connected two-by-two between member, boiler unit.Wherein the subscriber unit as unit of family includes household electrical appliance, such as refrigerator, laundry
Machine, dish-washing machine, electric light, television set further include intelligence instrument, photovoltaic generating module, wind power generation module and electric car, intelligence
Instrument measurement subscriber unit generated energy and the electricity of consumption, heat, and predict the electricity demand of user, heat demand amount；Heat
Electric cogeneration unit can externally export electric energy and external heat supply using natural gas as raw material, the heat supply of cogeneration unit and for current potential
In in feasible operation interval；Boiler unit is using natural gas as raw material, external heat supply.
Island microgrid intelligent dispatching system further includes calculating and memory module, and calculating with memory module includes several intelligence
Computing module, intelligence computation module are used to calculate in a distributed manner every based on electricity price, combustion gas valence, conveying cost, wireless communication networks
A electricity bought or sold from regional power grid as the subscriber unit of unit using family, buys from each cogeneration unit
Heating load, and power purchase/transmission of electricity instruction and heat supply instruction are formed, send corresponding domestic consumer's unit to.Without electricity in subscriber unit
Heating equipment is heated using centralized system, wherein the electricity bought is only used for the non-heat demand in family, heat demand passes through pot
Furnace heat supply or co-generation unit meet, and the heating load and electricity bought from each cogeneration of heat and power module are purchased from boiler unit
Enter heat, power purchase and purchase gas strategy are selected by intelligence computation module in scheduling phase a few days ago, guaranteed systematically with economic benefit
Beneficial maximized working method operation；During real time execution, it is based on tou power price, is user by intelligence computation module
The use period planning for formulating electric appliance guarantees that user plans the use time of each electric appliance in such a way that economic interests are maximized.
Through the above scheme, the energy equilibrium of supply and demand of entire power grid is met.It combines the energy of each user to exceed
And shortcoming obtains optimum instruction by distributed arithmetic, issues control instruction, controls the power generation and transmission of electricity of each user.
When carrying out power scheduling, when electricity is inadequate, power scheduling is carried out according to following priority: first meeting strategy
The power demand of property user, then meets the power demand of other users.
Preferably, equipped with thermomotor, photovoltaic, wind-power electricity generation, electric car and elastic load etc. in subscriber unit.
Preferably, further include carbon dioxide certification link in intelligence computation module, and include carbon dioxide in optimization aim
Discharge index can not only optimize cost control, can also promote making for clean energy resource by minimizing total economic indicator
With.
As shown in figure 3, the dispatching method of island microgrid intelligent dispatching system used by the present embodiment, intelligence computation mould
The number of block and subscriber unit, generator unit, cogeneration unit equal, each intelligence computation module corresponding one of the sum of number
A subscriber unit or generator unit or cogeneration unit or boiler unit, each intelligence computation module are wireless telecommunications connection,
Between i.e. any two intelligence computations module information can be transmitted by wireless telecommunications.In scheduling phase a few days ago, intelligence computation module is logical
It crosses and intelligent algorithm is accelerated to select each subscriber unit, each generator unit, the power purchase of each cogeneration unit and purchase gas strategy, accelerate intelligence
Can algorithm specifically includes the following steps:
(1) several computing modules pass through communication network from corresponding subscriber unit, generator unit, cogeneration of heat and power respectively
Obtained in unit previous step calculate it is resulting its from other users unit, generator unit, cogeneration unit purchase of electricity information, purchase
Tolerance information and the electricity sales amount information that electricity is sold to other users unit, the heat demand of each subscriber unit；
(2) each intelligence computation module corresponds to the purchase of electricity information obtained based on it, purchases tolerance information and electricity sales amount information,
It calculates and stores corresponding collaborative parameters；
(3) each intelligence computation module corresponds to the purchase of electricity information obtained based on it, purchases tolerance information and electricity sales amount information
And previous step calculates resulting corresponding collaborative parameters, current corresponding electricity price calculates and stores corresponding purchase of electricity information,
Purchase tolerance information and electricity sales amount information；
(4) step (1)-(3) are repeated, until the resulting purchase of electricity information of twice adjacent calculation, purchase tolerance information and sale of electricity
The difference measured between information is no more than given threshold；
(5) each subscriber unit, generator unit, cogeneration unit, the boiler unit distribution from intelligence computation module obtain
It takes its corresponding last time to calculate resulting purchase of electricity information, purchases tolerance information and electricity sales amount information, and be based on the information
Carry out power generation, the production of heat supply thermal energy；
(6) each subscriber unit, generator unit, cogeneration unit, boiler unit carry out electricity supply, heat supply.
Preferably, include following sub-step in step (2):
Subscriber unit, generator unit, cogeneration unit number are successively 1,2 by (2a) ... N；Wherein N is that user is single
The sum of member, generator unit, cogeneration unit, number of boiler unit；
(2b) is for unit i, when it is subscriber unit or generator unit or cogeneration unit, corresponding distribution
Computing module i iterates to calculate its electricity collaborative parameters by following formula,
WhereinResulting collaborative parameters value, g are calculated for unit i kth timeiFor the current generated energy of unit i, diFor unit i
Current power demand,The charge value that resulting unit i is sold to unit j is calculated for kth time,Gained is calculated for kth time
The charge value sold to unit i of unit j, selected electricity collaborative parameters when calculating for the first timeInitial value
(2c) for unit i, when it is cogeneration unit or boiler unit, corresponding distributed computing module i is logical
It crosses following formula and iterates to calculate its heat collaborative parameters,
WhereinResulting heat collaborative parameters are calculated for kth time, h is the sum of the heat demand of each unit,For kth time
The purchase tolerance of resulting unit i is iterated to calculate, wherein aiIt is imitated for corresponding cogeneration unit or the energy conversion of boiler unit
Rate, the initial value of selected heat collaborative parameters when calculating for the first time
Preferably, include following sub-step in step (3):
(3a) establishes performance index function c according to current electricity price, combustion gas valence, for characterizing the investment consumption of power grid are as follows:
Wherein pijFor the electricity price for numbering the unit sale of electricity that the unit for being i is j to number；If unit or number that number is i
Boiler module is corresponded to for the unit of j, then pij=0；niFor the gas price for the unit that number is i, siTo purchase tolerance；
(3b) is updated for unit i, by its corresponding intelligence computation module i by following formula iteration
Wherein, argmin { } expression makes function in braces obtain the smallest corresponding xijAnd siValue, α, β be often system
Number,The charge value that resulting unit i is sold to unit j is calculated for kth step, selected initial value when calculating for the first timeWith
Preferably, it is related to the generator unit of solar power generation or wind-power electricity generation to the sale of electricity price p of other unit sales of electricityij
Lower than not being related to the generator unit of solar power generation or wind-power electricity generation to the sale of electricity price p of other unit sales of electricityji。
Preferably, electricity collaborative parametersInitial value, heat collaborative parametersInitial value,Initial value andInitial value can be optional.
In general, through the invention it is contemplated above technical scheme is compared with the prior art, can obtain down and show
Beneficial effect:
(1) by the information exchange between user, when failure occurs, its discovery and transmission outwardly are more easier, from
And greatly enhance the reliability of power grid.Simultaneously as the state of user can quickly be transferred to intelligence computation module, this is utilized
Module can carry out fault diagnosis faster, so that efficiency of fault diagnosis is accelerated, to enhance the reliability of power grid.
(2) labo r resources are saved without the scheduling a few days ago of artificial progress electricity market by above-mentioned dispatching method.
(3) effectively enhance the reliability of operation of power networks.Since user can be power generation end, electricity consumption end can be, it can also be with
It is both power generation end and user terminal, for example has the family of renewable energy system, so that the flexible tune of electric power can be realized
Degree, reduces conveying distance, and power generation and power consumption efficiency get a promotion.By the electrical allotment of electric system, the energy can be improved
Utilization efficiency.
(4) price driven mechanism is set, the consumption of generation of electricity by new energy is promoted.
(5) by intelligence computation module, power purchase and purchase gas strategy may be selected, and formulate counting using the time for electric appliance for user
It draws, both reduces the cost and CO2 emission at power generation end, also make user while passing through the use time of reasonable arrangement electric appliance
It participates in dispatching, further reaches the technical effect for reducing and impacting to power grid；Meanwhile the combination of both technological means can also close
Reason reduces the electric cost of user.That is, power purchase and purchase gas strategy are selected for power generation end, heat supply end by intelligence computation module,
And period planning is used for user's formulation electric appliance, it can play and bring economic benefit, Yi Jijin to power generation end, heat supply end, user
The technical effect of one step enhancing electric network reliability.
(6) using the acceleration intelligent algorithm selection power purchase of middle proposition of the invention and purchase gas strategy, it is ensured that entirely certainly
The reliability of plan process.Although the power load of load side is time-varying in real-time electric power scheduling process, but as long as it changes
Rate can be implemented to handle these lower than the calculating convergence rate proposed by the present invention for accelerating intelligent algorithm, the acceleration intelligent algorithm
When varying duty, to ensure that the reliability of power scheduling process.
Claims (5)
1. a kind of island microgrid intelligent dispatching system, which is characterized in that multiple subscriber units, Duo Gefa including interconnection
Electric unit, multiple cogeneration units and multiple boiler units, subscriber unit, generator unit, cogeneration unit, boiler unit
Between connect two-by-two, subscriber unit, generator unit, cogeneration unit are independently in main power grid, electric energy and the area thermal energy Jin
It exchanges and dissolves in domain；The subscriber unit includes electrical equipment or electric appliance, photovoltaic generating module, wind power generation module, electronic
Automobile；Cogeneration unit externally exports electric energy and external heat supply, the heat supply and confession of cogeneration unit using natural gas as raw material
Current potential is in feasible operation interval；Boiler unit is using natural gas as raw material, external heat supply；
The island microgrid intelligent dispatching system further includes calculating and memory module, and calculating with memory module includes multiple intelligence
Computing module, the intelligence computation module are based on electricity price, combustion gas valence, conveying cost, distributed network, calculate user in a distributed manner
The electricity that unit is bought or sold from generator unit, cogeneration unit, other users unit, from each cogeneration unit
Or the heating load that boiler unit is bought, and purchase sale of electricity instruction, transmission of electricity instruction and heat supply instruction are formed, send corresponding unit to,
It without electric heating equipment in subscriber unit, is heated using centralized system, the electricity that subscriber unit is bought is only used for non-heat demand, user
The heat demand of unit is met by boiler unit heat supply or cogeneration unit, the confession bought from each cogeneration unit
Heat and electricity buy electricity from generator unit, heat are bought from boiler unit, in scheduling phase a few days ago, pass through intelligent meter
Module is calculated, power purchase and purchase gas strategy are selected, is guaranteed systematically with the maximized working method operation of economic interests；In real time execution
In the process, it is based on tou power price, by intelligence computation module, the use period planning of electric appliance or electrical equipment is formulated for user,
Guarantee that user plans the use time of each electric appliance or electrical equipment in such a way that economic interests are maximized.
2. using the dispatching method of island microgrid intelligent dispatching system described in claim 1, which is characterized in that the distribution
The number of formula intelligence computation module is equal with the sum of subscriber unit, generator unit, cogeneration unit, the number of boiler unit,
The corresponding subscriber unit of each intelligence computation module or generator unit or cogeneration unit or boiler unit, and pass through block
Chain authenticates, and the electricity transaction, heat supply between unit carry out simultaneously record storage through block catenary system, is obtained by block catenary system
Take purchase electricity sales amount information between unit, heat information provision, cogeneration unit, the purchase tolerance information of boiler unit；By each
Intelligence computation module composition distributed network, the corresponding network topology of the distributed network are connection, the intelligence meter of connection
Calculate communication of equal value between module；The heat demand of subscriber unit is supplied by cogeneration unit, boiler unit, is preferentially joined by thermoelectricity
Produce unit supply；In scheduling phase a few days ago, the intelligence computation module is by accelerating intelligent algorithm to select subscriber unit, power generation single
Member, cogeneration unit, boiler unit purchase sale of electricity and purchase gas strategy, the acceleration intelligent algorithm specifically includes the following steps:
(1) the intelligence computation module respectively from block catenary system authenticate, obtain other intelligence computation modules calculating from other
Subscriber unit, generator unit, cogeneration unit purchase of electricity information are purchased tolerance information and to other unit electricity sales amount information, are used
The heat demand of family unit；
(2) each intelligence computation module corresponds to the purchase of electricity information obtained based on it, purchases tolerance information and electricity sales amount information, calculates
And store corresponding collaborative parameters；
(3) each intelligence computation module corresponds to the purchase of electricity information obtained based on it, purchase tolerance information and electricity sales amount information and
Last time calculates resulting corresponding collaborative parameters, current corresponding electricity price and combustion gas valence, calculates and stores corresponding purchase of electricity
Information purchases tolerance information and electricity sales amount information；
(4) whether the purchase electricity sales amount for judging intelligence computation module twice adjacent calculation, the difference for purchasing tolerance no more than set threshold
Value；
(4a) is if the purchase electricity sales amount of twice adjacent calculation, the difference of purchase tolerance are no more than given threshold, each intelligence computation mould
Block submits the purchase electricity sales amount of intelligence computation module calculating, purchase tolerance information to block catenary system, executes step (5)；
(4b) returns to step (1) if the purchase electricity sales amount of twice adjacent calculation or the difference for purchasing tolerance are more than given threshold；
(5) its is right for Distributed Acquisition from block catenary system for each subscriber unit, generator unit, cogeneration unit, boiler unit
The last time answered calculates gained purchase of electricity information, purchases tolerance information and electricity sales amount information, and carry out electric power based on the information
Production and the production of heat supply thermal energy；
(6) each subscriber unit, generator unit, cogeneration unit, boiler unit carry out distributed purchase sale of electricity through block catenary system
Transaction, heat supply transactions carry out electricity supply, heat supply.
3. dispatching method according to claim 2, which is characterized in that the step (2) specifically includes the following steps:
Multiple subscriber units, multiple generator units, multiple cogeneration units, multiple boiler units number are successively 1 by (2a),
2 ... N, wherein N is the sum of subscriber unit, generator unit, cogeneration unit, the number of boiler unit；
Unit i, i=1,2 ... the N that (2b) is i for number, when it is subscriber unit or generator unit or cogeneration unit
When, the electricity collaborative parameters of its corresponding intelligence computation module i are iterated to calculate by following formula,
WhereinResulting collaborative parameters value, g are calculated for unit i kth timeiFor the current generated energy of unit i, diFor working as unit i
Preceding power demand,The charge value that resulting unit i is sold to unit j is calculated for kth time,Resulting list is calculated for kth time
The charge value that first j is sold to unit i, selected electricity collaborative parameters when calculating for the first timeInitial value
(2C) for unit i, when it is cogeneration unit or boiler unit, corresponding intelligence computation module i passes through as follows
Formula iterates to calculate its heat collaborative parameters,
WhereinResulting heat collaborative parameters are calculated for kth time, h is the sum of the heat demand of each unit,For kth time iteration
The purchase tolerance of resulting unit i is calculated, wherein aiIt is first for corresponding cogeneration unit or the energy conversion efficiency of boiler unit
The initial value of heat collaborative parameters is selected when secondary calculating
4. dispatching method according to claim 3, which is characterized in that
The step (3) specifically includes following steps,
(3a) establishes performance index function c according to current electricity price, combustion gas valence, for characterizing the investment consumption of power grid,
Wherein pijIt is unit i to the electricity price of unit j sale of electricity；If unit i or unit j is boiler unit, pij=0；niFor unit i
Buy the gas price of natural gas, siTo purchase tolerance；
(3b) is updated for unit i, by its corresponding intelligence computation module i by following formula iteration
Wherein, argmin { } expression makes function in braces obtain the smallest corresponding xijAnd siValue, α, β are constant coefficient,
The charge value that resulting unit i is sold to unit j is calculated for kth step, selected initial value when calculating for the first timeWith
5. dispatching method according to claim 4, which is characterized in that be related to the power generation of solar power generation or wind-power electricity generation
Sale of electricity price p of the unit to other unit sales of electricityijLower than be not related to the generator unit of solar power generation or wind-power electricity generation to its
The sale of electricity price p of his unit sale of electricityji。
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