CN109347095A - Consider the active distribution network layered distribution type tuning controller of characteristic of providing multiple forms of energy to complement each other - Google Patents
Consider the active distribution network layered distribution type tuning controller of characteristic of providing multiple forms of energy to complement each other Download PDFInfo
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- H—ELECTRICITY
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- H—ELECTRICITY
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
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Abstract
It provides multiple forms of energy to complement each other the active distribution network layered distribution type tuning controller of characteristic the invention discloses a kind of consideration, is related to power distribution network control field, including three layers of control framework, three layers of control framework includes distribution stratum reticulare, microgrid layer and element layer；The distribution stratum reticulare is optimal control layer, is provided with distribution grade intelligent body, using the optimized allocation of multiple-energy-source and system total operating cost as optimal control target；The microgrid layer is coordinated control layer, including multiple sub- microgrids, and every sub- microgrid is provided with microgrid grade intelligent body；The element layer is to execute control layer, and the control to each bottom component is realized by the component-level intelligent body being arranged on each bottom component interface position.Control system is divided into active distribution network grade intelligent body, energy source interconnection microgrid grade intelligent body and component-level intelligent body by the present invention, the characteristic of providing multiple forms of energy to complement each other for having fully considered energy source interconnection microgrid simultaneously, realizes the coordinated control of electric power networks, heating power network and natural gas network.
Description
Technical field
The present invention relates to power distribution network control field more particularly to it is a kind of consideration provide multiple forms of energy to complement each other characteristic active distribution network layering
Distributed and coordinated control device.
Background technique
Energy source interconnection microgrid can realize multiple-energy-source harmonizing, merge the different energy networks such as natural gas grid, heat supply network,
It is that communication tie between distributed generation resource and active distribution network (referring to document 1: Luo Baifeng, Mu Yunfei, Zhao Bo, waits to be based on system
The electricity of one tide model-gas coupling integrated energy system static sensitivity analysis [J] Automation of Electric Systems, 2018,42
(13):1-7.LUO Bofeng1 MU Yunfei1 ZHAO Bo,et al.Static Sensitivity Analysis of
Integrated Electricity and Gas System Based on Unified Power Flow Model[J]
.Automation of Electric Power Systems, 2018,42 (13): 1-7. document 2: Luoping, Han Lujie, grandson make
It is deep and clear, wait supply of cooling, heating and electrical powers type micro-grid system multiple target Optimized Operation [J] instrument and meter for automation a few days ago, 2018 (2): 1-6.LUO
Ping,HAN Lujie,SUN Zuoxiao,et al.Multi-Objective Day-Ahead Optimal Dispatch
Of CCHP Microgrid System [J] .PROCESS AUTOMATION INSTUMENTATION, 2018 (2): 1-6. text
It offering 3: soaring, Ai Qian, Hao Ran wait multiple agent decentralized autonomous control [J] electric power network technique of alternating current-direct current mixing power grid, and 2017,
41(4):1158-1164.GAO Yang,AI Qian,HAO Ran,et al.Autonomous Decentralized
Control of Multi-Agent System for AC/DC Hybrid Grid[J].Power System
Technology,2017,41(4):1158-1164.).Energy source interconnection microgrid makes active distribution network need not be directly facing big rule
Mould, diverse distributed apparatus are grid-connected.However, the harmonizing of various energy resources but increases the complexity of active distribution network
Property.It since different energy networks has different model and characteristic, and interacts and influences, each energy network of tradition is independent
The method of analysis be difficult to adapt to existing distribution system requirement (bibliography 4: Dong Shuai, Wang Chengfu, Liang Jun, wait count and electricity turn
The integrated energy system multiple target of gas operating cost Optimized Operation [J] Automation of Electric Systems a few days ago, 2018,42 (11): 8-
15.DONG Shuai,WANG Chengfu,LIANG Jun,et al.Multi-objective Optimal Day-ahead
Dispatch of Integrated Energy System Considering Power-to-gas Operation Cost
[J] .Automation of Electric Power Systems, 2018,42 (11): 8-15. document 5: Xu Qingshan, Zeng Ai
East, wangkai wait micro power source net of the based on Hessian interior point method [J] power grid skill of supply of cooling, heating and electrical powers economic optimization scheduling a few days ago
Art, 2016,40 (6): 1657-1665.XU Qingshan, ZENG Aidong, WANG Kai, et al.Day-Ahead
Optimized Economic Dispatching for Combined Cooling,Heating and Power in
Micro Energy-Grid Based on Hessian Interior Point Method[J].Power System
Technology, 2016,40 (6): 1657-1665.) (bibliography 6: Dong Shuai, Wang Chengfu, Xu Shijie wait to count to document [6-7]
And the hot integrated energy system of electric-gas-of network dynamics Optimized Operation [J] Automation of Electric Systems a few days ago, 2018,42
(13):1-8.DONG Shuai WANG Chengfu,XU Shijie,et al.Day-ahead Optimal Scheduling
of Electricity-Gas-Heat Integrated Energy System Considering Dynamic
Characteristics of Networks[J].Automation of Electric Power Systems,2018,42
(13): 1-8. document 7: Yang Shuai, Chen Lei, Xu Fei wait to dissolve Optimized Operation based on the electric heating integrated energy system abandonment of energy stream
Model [J] electric power network technique, 2018,42 (2): 417-425.YANG Shuai, CHEN Lei, XU Fei, et al.Optimal
Dispatch Model of Wind Power Accommodation in Integrated Electrical-Thermal
Power System Based on Power Flow Model[J].Power System Technology,2018,42(2):
417-425.) analyze the network characteristic of various energy resources, document [8] (Bidram A, Davoudi A, Lewis F L.A
Multi objective Distributed Control Framework for Islanded AC Microgrids[J]
.IEEE Transactions on Industrial Informatics, 2014,10 (3): 1785-1798.) to electric power networks
Influencing each other between natural gas network is studied, but is concentrated mainly on electric-gas coupling aspect, examines electric-thermal coupling
Consider less, and electricity-thermal coupling block analysis is also and not perfect.(Zhang Jun, the refined graceful of Pei are micro- based on the sagging control of improvement for document [9]
Power grid smoothly switches research [J] Electrified Transmission, 2018,48 (4): 65-69.ZHANG Jun, PEI Shuman.Research
on Smooth Switching of Microgrid Operation States Based on Improved Droop
Control [J] .ELECTRIC DRIVE, 2018,48 (4): 65-69) electricity-is established on the basis of natural gas network analysis
The mathematical model of gas interacted system.(Li Guodong, Ge Leijiao, Liu Chuanhua wait active distribution network PQMT consistency to enter to document [10]
Net detection platform constructs [J] Electrified Transmission, 2015,45 (12): 65-69.LI Guodong, Ge Leijiao, LIU
Chuanghua,et al.Consistent Detection Platform Construction of Active
Distribution Network Power Quality Monitoring Terminal[J].ELECTRIC DRIVE,
2015,45 (12): 65-69.) power network and natural gas grid established by coupled relation by gas turbine, it does not account for but new
The energy accesses the uncertainty of electric system and natural gas grid under background.In conclusion at present for single energy supply (such as electricity
Power, heating power, combustion gas etc.) system relevant device and network Modeling Research it is more mature, but comprehensive energy hot for electric-gas-
System coordination control is related to less.
In addition, since the capacity of single energy source interconnection microgrid is smaller, regulating power is limited, when the distribution of high permeability is set
When back-up dissipates access power distribution network, once situations such as extensive sudden load change or line fault occurs, will be greatly reduced micro-capacitance sensor
Reliability.In order to realize the friendly reliable access of distributed apparatus, the active distribution network of the same area may include multiple energy source interconnections
Micro-capacitance sensor forms the intelligent distribution network containing more microgrids.It can be by the management means of dispersion collaboration, based on distribution between more microgrids
Sparse communication network realizes wide area interconnection and regional autonomy (bibliography 11: Wang Tianjing, the strong active distribution network of Xu Kuo, Zhu Yong
Source-net-lotus multiplayer gaming Economic Scheduling Policy [J] electric power system protection and control, 2018,46 (4): 10-18. document 12:
Bidram A,Davoudi A,Lewis F L.A Multiobjective Distributed Control Framework
for Islanded AC Microgrids[J].IEEE Transactions on Industrial Informatics,
2014,10(3):1785-1798.).Document [13-14] (bibliography 13:Magdy G, Mohamed E A, Shabib G, et
al.Microgrid dynamic security considering high penetration of renewable
Energy [J] .Protection and Control of Modern Power Systems, 2018,3 (1): 23. documents 14:
Dai Zhihui Chen Bing Yan Xie army waits active distribution network layering scheduling strategy [J] the electric power system protection and control of containing more microgrids,
2018,46 (18): 121-127.) propose the three class control framework containing more microgrid active distribution networks, power distribution network energy management system
(EMS) is united as the higher level control centre of microgrid group, to realize that operating cost is optimal, but required data calculation amount is larger,
Call duration time is also longer, once EMS platform breaks down, then whole system is likely to occur collapse.Document [15] (Wang Shouxiang, Wu
Will is good, and Zhuan Jian considers the interactive more microgrid Optimized Operation moulds in supply of cooling, heating and electrical powers type region coordinated with micro- source power output of power between microgrid
Type [J] Proceedings of the CSEE, 2017,37 (24): 7185-7194.) propose the multi-agent Hierarchical control of microgrid group
Framework, cooperation and autonomy feature based on intelligent body, realizes the regional autonomy between each microgrid, but not between the coordination microgrid group
The design of the communication topology of Optimization Mechanism and multi-agent system is analyzed, in addition, the control strategy of equity dispersion only limits to
Coordinated control between two microgrids, the coordinated control being seldom related between 3 and 3 or more microgrids.Currently, existing micro- electricity
Net operation and management and running still use the realization approach with " electricity " for core, other energy resource systems quilt other than electric system
It greatly simplifies or even ignores.The analytic function that traffic control and coordination optimization for energy source interconnection microgrid need, such as fuel gas conduit
The functions such as influence, thermic load influence to power grid and fuel gas network of the network pressure power to electrical system, existing research and related tool are fresh
It relates to.
Relevant other bibliography further include:
[16]Wu J,Guan X.Coordinated Multi-Microgrids Optimal Control
Algorithm for Smart Distribution Management System[J].IEEE Transactions on
Smart Grid,2013,4(4):2174-2181.
[17] it soars, micro-capacitance sensor interconnection trend of the Ai Qian based on multi-agent system accurately controls [J] electric system
Automation, 2018,42 (5): 140-146.
[18]Kim M,Kwasinski A.Decentralized Hierarchical Control of Active
Power Distribution Nodes[J].IEEE Transactions on Energy Conversion,2014,29
(4):934-943.
[19] it soars, active distribution network layered distribution type coordinated control [J] of Ai Qian sparse communication optimization containing more microgrids
Automation of Electric Systems, 2018 (4): 135-141.
[20] Wang is newborn, Zhang Huaqiang micro-capacitance sensor distributed collaboration control strategy research [J] Electrified Transmission, and 2016,46
(5):66-69.
The prior art has the disadvantage in that
1, at present for it is single energy supply (such as electric power, heating power, combustion gas) system relevant device and network Modeling Research
It is more mature, but the coordinated control of integrated energy system hot for electric-gas-be related to it is less；
2, individually the capacity of energy source interconnection microgrid is smaller, regulating power is limited, when the distributed apparatus of high permeability disperses
When accessing power distribution network, once situations such as extensive sudden load change or line fault occurs, will be greatly reduced the reliability of micro-capacitance sensor；
3, equity dispersion control strategy be limited only to the coordinated control between two microgrids, be seldom related to 3 and 3 with
Coordinated control between upper microgrid.
Therefore, those skilled in the art, which is dedicated to developing, a kind of is related to the coordinated control of the hot integrated energy system of electric-gas-
Strategy solves problems of the prior art.
Summary of the invention
In view of the above drawbacks of the prior art, the technical problem to be solved by the present invention is to how design realization electric-gas-
The coordinated control of hot integrated energy system is directed to the coordinated control of multiple micro-capacitance sensors, and can dash forward extensive load occurs
Situations such as change or line fault, keeps high reliability.
To achieve the above object, it provides multiple forms of energy to complement each other the active distribution network layered distribution type of characteristic the present invention provides a kind of consideration
Tuning controller, including three layers of control framework, three layers of control framework includes distribution stratum reticulare, microgrid layer and element layer；It is described
Distribution stratum reticulare is optimal control layer, is provided with distribution grade intelligent body, is always run into the optimized allocation and system of multiple-energy-source
This is optimal control target, and the multiple-energy-source includes the energy from power grid, heat supply network and natural gas grid；The microgrid layer is association
Regulate and control preparative layer, including multiple sub- microgrids, every sub- microgrid is provided with microgrid grade intelligent body, and the microgrid grade intelligent body receives
The dispatch command that the distribution grade intelligent body issues, and the operating scheme that the dispatch command includes is judged and adjusted,
Optimization operating scheme is generated, and the optimization operating scheme is returned into the distribution grade intelligent body；The element layer is to execute
Control layer realizes the control to each bottom component by the component-level intelligent body being arranged on each bottom component interface position
System；The component-level intelligent body receives the optimization operating scheme, converts each bottom member for the optimization operating scheme
The practical control instruction and state set-point of part；The component-level intelligent body is collected, analyzes and store each bottom component
On status information, and pass to the microgrid grade intelligent body；The component-level intelligent body can also be with neighbouring component-level intelligence
It can be communicated between body, constitute distributed sparse communication network, realize Collaborative Control.
Further, the system total operating cost includes power supply cost, heat cost and gas supply cost, constitutes energy supply
Cost；It is described energy supply cost by system subordinated-degree matrix in system unit energize cost vector product indicate one by one, the energy
The degree of coupling can be acquired by system degree of membership and unit energy supply vector, and specific manifestation form is as follows:
[CP(t) CQ(t) CG(t)]T=SMDΩ(t)×CΩ(t) (2)
In formula, CsysFor the system total operating cost, CPIt (t) is the power supply cost, CQIt (t) is heat cost, CG(t)
To supply cost；CΩIt (t) is supply unit operating cost vector in distribution stratum reticulare described in t moment.
Further, the CΩIt may be expressed as:
CΩ=[Cgrid Cwdg Ccon Ccbb Cchp Cp2h Cp2g Cgfb Cgc] (3)
In formula, Cgrid、Cwdg、Ccon、Ccbb、Cchp、Cp2h、Cp2g、CgfbAnd CgcRespectively indicate power grid, blower, photovoltaic, fire coal
The operating cost of boiler, gas turbine unit, P2H unit, P2G unit, gas fired-boiler and compressor.
Further, the distribution stratum reticulare also needs to comprehensively consider various constraint conditions at runtime, electricity including each energy,
Heat, natural gas power-balance, network trend, supply unit characteristic；The constraint condition can be divided by class system operation constraint with
And the operation of each supply unit constrains in system, specially power-balance constraint and the network operation constrain:
(1) power-balance constraint:
Electrical power balance, heating power balance when formula (4)~(6) respectively indicate distribution stratum reticulare operation and natural
Gas power-balance constraint；Wherein, Pl t、Ql tAnd Gl tRespectively indicate electricity, heat and the natural gas load demand of the distribution stratum reticulare；
Ploss、QlossAnd GlossThe grid loss and thermal energy and natural gas of the respectively described distribution stratum reticulare can be in the damages in transmission process
Consumption；
(2) network operation constraint:
Formula (7)~(10) are that the network operation of the distribution stratum reticulare constrains, including electric power system tide constraint, node are electric
The flow bound constraint of pressure constraint, the constraint of heat distribution pipeline heat bound and natural gas line；In formula, Pi,tAnd Qi,tRespectively
Indicate active power and reactive power that node i is injected in t moment；Ui,tAnd Uj,tRespectively indicate node i, j t moment electricity
Pressure；GijAnd BijRespectively indicate the conductance and susceptance between node i, j；θij,tIndicate the phase angle difference between node i, j in t moment；
WithWhen respectively indicating system operation, the upper lower limit value of node i voltage；ClAnd Fl,tThe respectively specific heat of heat distribution pipeline l liquid
And t moment flow；WithRespectively inlet and outlet temperatures of the heat distribution pipeline l in t moment；Gk,tExist for natural gas line k
The gas discharge of t moment； WithIt respectively indicates heat distribution pipeline l transmission heat and natural gas line k is passed
The upper lower limit value of defeated capacity.
Further, the microgrid grade intelligent body is arranged on the interconnection node of every sub- microgrid.
Further, the microgrid grade intelligent body judges the fortune for including in dispatch command that the distribution grade intelligent body issues
Whether row scheme can cause lower layer's network power out-of-limit；If lower layer's network emergent power is out-of-limit, the microgrid grade intelligence
Body readjusts the operating scheme, generates the optimization operating scheme.
Further, the bottom component includes gas turbine, electricity/hot energy storage, photovoltaic, blower.
Further, the status information on the bottom component includes voltage, frequency and power information.
Further, the gas turbine is miniature gas turbine.
Further, the miniature gas turbine has coupled natural gas grid and power grid；It is described micro- when natural gas grid is more prescribed a time limit
Net grade intelligent body can adjust the power output of the miniature gas turbine, and adjustment result is returned to the distribution grade intelligent body；When
Heat supply network is more prescribed a time limit, and according to the grid power demand under the mode of being incorporated into the power networks, coordinates the miniature gas turbine and hot energy storage dress
That sets contributes to balance the load fluctuation of heat supply network.
A kind of the provide multiple forms of energy to complement each other active distribution network layered distribution type tuning controller of characteristic of consideration provided by the invention is base
In multi-agent system building grade containing distribution, microgrid grade, component-level three class control framework, management and running process is divided into and is matched
The scheduling of net grade intelligent body and microgrid grade intelligent body dispatch two parts, when proposing steady-state operation active distribution network and more microgrids it
Between interconnection, interaction new departure.
In the design of distributed and coordinated control, the advantage and disadvantage and complementary characteristic between different energy sources have also been comprehensively considered,
It is proposed a kind of coordinated control structure of layered distribution type.The structure is cooperateed with using power grid as core with heat supply network, natural gas grid
Optimize, interconnect.The thought for using for reference information data interconnection simultaneously, is fused to network for the energy, and is equipped with corresponding communication hand
Section realizes multiple-energy-source harmonizing and depth integration.
It is described further below with reference to technical effect of the attached drawing to design of the invention, specific structure and generation, with
It is fully understood from the purpose of the present invention, feature and effect.
Detailed description of the invention
Fig. 1 is the active distribution network grading control configuration diagram of the microgrid of source interconnection containing multipotency.
Specific embodiment
Multiple preferred embodiments of the invention are introduced below with reference to Figure of description, keep its technology contents more clear and just
In understanding.The present invention can be emerged from by many various forms of embodiments, and protection scope of the present invention not only limits
The embodiment that Yu Wenzhong is mentioned.
In the present invention, for the complementary characteristic of different energy sources, Steady state modeling first is carried out to integrated energy system；Then,
The active distribution network grading control structure containing multiple energy source interconnection microgrids is constructed, is proposed a kind of electric, air and heat system coordination optimization
MAS control method is realized the investment of each equipment in energy source interconnection microgrid and is cut by the information exchange between each intelligent body
Out.Finally, being optimized for the sparse communication network of distribution inside microgrid and between microgrid group, and analyzes communication and prolong
When influence to distributed AC servo system algorithm stability.
As shown in Figure 1, the present invention provides it is a kind of consideration provide multiple forms of energy to complement each other characteristic active distribution network layered distribution type coordination
Controller, including three layers of control framework, three layers of control framework include distribution stratum reticulare, microgrid layer and element layer.Distribution stratum reticulare is also referred to as
It is optimal control layer for active distribution network layer, comprehensive energy is mainly arranged according to electricity/gas/hot systems predicted load
The energy-optimised allocation plan of network, need to consider different energy sources system operation when economy, the feature of environmental protection and safety and
The demand of each equipment or user to electricity, gas and thermal energy.The control layer to meet simultaneously electricity/gas/ther mal network various operations constraint,
Dynamic process and coupled relation.Distribution stratum reticulare is provided with distribution grade intelligent body, total with the optimized allocation of multiple-energy-source and system
Operating cost is optimal control target, and wherein the various energy resources of multiple-energy-source meaning include coming from power grid, heat supply network and natural gas grid
The energy.
System total operating cost includes power supply cost, heat cost and gas supply cost, constitutes energy supply cost；Energize cost
Indicate that the energy degree of coupling can be subordinate to by system one by one by system subordinated-degree matrix and the product of unit energy supply cost vector in system
Degree and unit energy supply vector acquire, and specific manifestation form is as follows:
[CP(t) CQ(t) CG(t)]T=SMDΩ(t)×CΩ(t) (2)
In formula, CsysFor system total operating cost, CPIt (t) is power supply cost, CQIt (t) is heat cost, CG(t) for gas supply at
This；CΩIt (t) is supply unit operating cost vector in t moment distribution stratum reticulare.
CΩIt may be expressed as:
CΩ=[Cgrid Cwdg Ccon Ccbb Cchp Cp2h Cp2g Cgfb Cgc] (3)
In formula, Cgrid、Cwdg、Ccon、Ccbb、Cchp、Cp2h、Cp2g、CgfbAnd CgcRespectively indicate power grid, blower, photovoltaic, fire coal
The operating cost of boiler, gas turbine unit, P2H unit, P2G unit, gas fired-boiler and compressor.
Distribution stratum reticulare also needs to comprehensively consider various constraint conditions at runtime, electricity, heat, natural gas power including each energy
Balance, network trend, supply unit characteristic；Constraint condition can be divided into each supply unit in system operation constraint and system by class
Operation constraint, specially power-balance constraint and the network operation constraint:
(1) power-balance constraint:
Formula (4)~(6) respectively indicate electrical power balance, heating power balance and the natural qigong when operation of distribution stratum reticulare
Rate Constraints of Equilibrium；Wherein,WithRespectively indicate electricity, heat and the natural gas load demand of distribution stratum reticulare；Ploss、QlossWith
GlossRespectively the grid loss of distribution stratum reticulare and thermal energy and natural gas can be in the losses in transmission process；
(2) network operation constrains:
Formula (7)~(10) are that the network operation of distribution stratum reticulare constrains, including electric power system tide constrains, and node voltage is about
The flow bound constraint of beam, the constraint of heat distribution pipeline heat bound and natural gas line；In formula, Pi,tAnd Qi,tIt respectively indicates
The active power and reactive power that node i is injected in t moment；Ui,tAnd Uj,tRespectively indicate node i, j t moment voltage；Gij
And BijRespectively indicate the conductance and susceptance between node i, j；θij,tIndicate the phase angle difference between node i, j in t moment；WithWhen respectively indicating system operation, the upper lower limit value of node i voltage；ClAnd Fl,tThe respectively specific heat and t of heat distribution pipeline l liquid
Moment flow；WithRespectively inlet and outlet temperatures of the heat distribution pipeline l in t moment；Gk,tIt is natural gas line k in t
The gas discharge at quarter；WithRespectively indicate heat distribution pipeline l transmission heat and natural gas line k transmission
The upper lower limit value of capacity.
Microgrid layer is also referred to as can source interconnection microgrid layer.Microgrid layer is coordinated control layer, including multiple sub- microgrids, every height
Microgrid is provided with microgrid grade intelligent body, mainly realizes control by the microgrid grade intelligent body on every sub- microgrid interconnection node
Target.Microgrid grade intelligent body receives the dispatch command that issues of distribution grade intelligent body, and the operating scheme for including to dispatch command into
Row judgement and adjustment.When the operating scheme for including in the dispatch command that distribution grade intelligent body issues can cause lower layer's network power to be got over
When limit, microgrid grade intelligent body readjusts operating scheme, generates optimization operating scheme, and optimization operating scheme is returned to
Distribution grade intelligent body, to be taken in energy allocation plan later.Miniature gas turbine coupled natural gas grid and
Power grid；When natural gas grid is more prescribed a time limit, microgrid grade intelligent body can adjust the power output of miniature gas turbine, and adjustment result is returned to
Distribution grade intelligent body；When heat supply network is more prescribed a time limit, according to the grid power demand under the mode of being incorporated into the power networks, coordination miniature gas turbine
The load fluctuation of heat supply network is balanced with the power output of hot energy storage device.
Element layer is to execute control layer, mainly by the component-level intelligent body that is arranged on each bottom component interface position come
Realize the control to each bottom component；Component-level intelligent body receives optimization operating scheme, converts each bottom for optimization operating scheme
The practical control instruction and state set-point of layer elements；Component-level intelligent body is collected, analyzes and store on each bottom component
Status information, and pass to microgrid grade intelligent body；Component-level intelligent body can also be led between neighbouring component-level intelligent body
Letter constitutes distributed sparse communication network, realizes Collaborative Control.
Optionally, the status information on bottom component includes voltage, frequency and power information.
Optionally, bottom component includes gas turbine, electricity/hot energy storage, photovoltaic, blower.
The present invention is directed to the active distribution network containing multipotency source network, proposes a kind of coordinated control plan of layered distribution type
Slightly, and using the flexible nature of multi-agent system plug and play, control system is divided into active distribution network grade intelligent body, energy
Source interconnection microgrid grade intelligent body and component-level intelligent body, while having fully considered the characteristic of providing multiple forms of energy to complement each other of energy source interconnection microgrid, it is real
The coordinated control of electric power networks, heating power network and natural gas network is showed.
The preferred embodiment of the present invention has been described in detail above.It should be appreciated that the ordinary skill of this field is without wound
The property made labour, which according to the present invention can conceive, makes many modifications and variations.Therefore, all technician in the art
Pass through the available technology of logical analysis, reasoning, or a limited experiment on the basis of existing technology under this invention's idea
Scheme, all should be within the scope of protection determined by the claims.
Claims (10)
- The active distribution network layered distribution type tuning controller of characteristic 1. a kind of consideration is provided multiple forms of energy to complement each other, which is characterized in that including three Layer control framework, three layers of control framework includes distribution stratum reticulare, microgrid layer and element layer；The distribution stratum reticulare is optimal control Layer, is provided with distribution grade intelligent body, using the optimized allocation of multiple-energy-source and system total operating cost as optimal control target, institute Stating multiple-energy-source includes the energy from power grid, heat supply network and natural gas grid；The microgrid layer is coordinated control layer, including multiple sons Microgrid, every sub- microgrid are provided with microgrid grade intelligent body, and the microgrid grade intelligent body receives under the distribution grade intelligent body The dispatch command of hair, and the operating scheme that the dispatch command includes is judged and adjusted, optimization operating scheme is generated, and The optimization operating scheme is returned into the distribution grade intelligent body；The element layer is to execute control layer, by being arranged each Component-level intelligent body on bottom component interface position realizes the control to each bottom component；The component-level intelligent body The optimization operating scheme is received, converts the optimization operating scheme to the practical control instruction and shape of each bottom component State setting value；The component-level intelligent body is collected, analyzes and store the status information on each bottom component, and passes to The microgrid grade intelligent body；The component-level intelligent body can also be communicated between neighbouring component-level intelligent body, constituted and divided The sparse communication network of cloth realizes Collaborative Control.
- The active distribution network layered distribution type tuning controller of characteristic 2. consideration as described in claim 1 is provided multiple forms of energy to complement each other, it is special Sign is that the system total operating cost includes power supply cost, heat cost and gas supply cost, constitutes energy supply cost；It is described Energy supply cost is indicated that the energy degree of coupling can be by by the product that system subordinated-degree matrix energizes cost vector with unit in system one by one System degree of membership and unit energy supply vector acquire, and specific manifestation form is as follows:[CP(t) CQ(t) CG(t)]T=SMDΩ(t)×CΩ(t) (2)In formula, CsysFor the system total operating cost, CPIt (t) is the power supply cost, CQIt (t) is heat cost, CGIt (t) is confession Gas cost；CΩIt (t) is supply unit operating cost vector in distribution stratum reticulare described in t moment.
- The active distribution network layered distribution type tuning controller of characteristic 3. consideration as claimed in claim 2 is provided multiple forms of energy to complement each other, it is special Sign is, the CΩIt may be expressed as:CΩ=[Cgrid Cwdg Ccon Ccbb Cchp Cp2h Cp2g Cgfb Cgc] (3)In formula, Cgrid、Cwdg、Ccon、Ccbb、Cchp、Cp2h、Cp2g、CgfbAnd CgcRespectively indicate power grid, blower, photovoltaic, coal-burning boiler, The operating cost of gas turbine unit, P2H unit, P2G unit, gas fired-boiler and compressor.
- The active distribution network layered distribution type tuning controller of characteristic 4. consideration as described in claim 1 is provided multiple forms of energy to complement each other, it is special Sign is that the distribution stratum reticulare also needs to comprehensively consider various constraint conditions at runtime, electricity, heat, natural gas including each energy Power-balance, network trend, supply unit characteristic；The constraint condition can be divided into each in system operation constraint and system by class The operation of supply unit constrains, specially power-balance constraint and network operation constraint:(1) power-balance constraint:Formula (4)~(6) respectively indicate electrical power balance, heating power balance and the natural qigong when distribution stratum reticulare operation Rate Constraints of Equilibrium；Wherein,WithRespectively indicate electricity, heat and the natural gas load demand of the distribution stratum reticulare；Ploss、 QlossAnd GlossThe grid loss and thermal energy and natural gas of the respectively described distribution stratum reticulare can be in the losses in transmission process；(2) network operation constraint:Formula (7)~(10) are that the network operation of the distribution stratum reticulare constrains, including electric power system tide constrains, and node voltage is about The flow bound constraint of beam, the constraint of heat distribution pipeline heat bound and natural gas line；In formula, Pi,tAnd Qi,tIt respectively indicates The active power and reactive power that node i is injected in t moment；Ui,tAnd Uj,tRespectively indicate node i, j t moment voltage；Gij And BijRespectively indicate the conductance and susceptance between node i, j；θij,tIndicate the phase angle difference between node i, j in t moment；WithWhen respectively indicating system operation, the upper lower limit value of node i voltage；ClAnd Fl,tThe respectively specific heat and t of heat distribution pipeline l liquid Moment flow；WithRespectively inlet and outlet temperatures of the heat distribution pipeline l in t moment；Gk,tIt is natural gas line k in t The gas discharge at quarter； WithIt respectively indicates heat distribution pipeline l transmission heat and natural gas line k transmission is held The upper lower limit value of amount.
- The active distribution network layered distribution type tuning controller of characteristic 5. consideration as described in claim 1 is provided multiple forms of energy to complement each other, it is special Sign is that the microgrid grade intelligent body is arranged on the interconnection node of every sub- microgrid.
- The active distribution network layered distribution type tuning controller of characteristic 6. consideration as described in claim 1 is provided multiple forms of energy to complement each other, it is special Sign is, whether the microgrid grade intelligent body judges the operating scheme for including in dispatch command that the distribution grade intelligent body issues Lower layer's network power can be caused out-of-limit；If lower layer's network emergent power is out-of-limit, the microgrid grade intelligent body is readjusted The operating scheme generates the optimization operating scheme.
- The active distribution network layered distribution type tuning controller of characteristic 7. consideration as described in claim 1 is provided multiple forms of energy to complement each other, it is special Sign is that the bottom component includes gas turbine, electricity/hot energy storage, photovoltaic, blower.
- The active distribution network layered distribution type tuning controller of characteristic 8. consideration as described in claim 1 is provided multiple forms of energy to complement each other, it is special Sign is that the status information on the bottom component includes voltage, frequency and power information.
- The active distribution network layered distribution type tuning controller of characteristic 9. consideration as claimed in claim 7 is provided multiple forms of energy to complement each other, it is special Sign is that the gas turbine is miniature gas turbine.
- The active distribution network layered distribution type tuning controller of characteristic 10. consideration as claimed in claim 9 is provided multiple forms of energy to complement each other, it is special Sign is that the miniature gas turbine has coupled natural gas grid and power grid；When natural gas grid is more prescribed a time limit, the microgrid grade intelligent body The power output of the miniature gas turbine can be adjusted, and adjustment result is returned into the distribution grade intelligent body；When heat supply network is out-of-limit When, according to the grid power demand under the mode of being incorporated into the power networks, the power output for coordinating the miniature gas turbine and hot energy storage device is come Balance the load fluctuation of heat supply network.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109888790A (en) * | 2019-03-28 | 2019-06-14 | 国网福建省电力有限公司经济技术研究院 | It is a kind of difference operational mode under regional complex energy resource system multipotency tidal current computing method |
| CN110601185A (en) * | 2019-09-17 | 2019-12-20 | 武汉大学 | Unified power flow model and random matrix-based comprehensive energy system weak point identification method |
| CN110826815A (en) * | 2019-11-14 | 2020-02-21 | 国网河南省电力公司经济技术研究院 | Regional comprehensive energy system operation optimization method considering comprehensive demand response |
| CN110928251A (en) * | 2019-10-16 | 2020-03-27 | 中国海洋石油集团有限公司 | Energy control system, method, equipment and storage medium |
| CN112862157A (en) * | 2021-01-12 | 2021-05-28 | 山东大学 | Comprehensive energy system optimal scheduling method and system considering coupling degree |
| CN113346554A (en) * | 2021-05-14 | 2021-09-03 | 沈阳工程学院 | Distributed cooperative regulation and control method for power distribution network |
| CN113467398A (en) * | 2021-07-06 | 2021-10-01 | 山东大学 | Distributed control method and system of comprehensive energy system based on consistency algorithm |
| CN113708412A (en) * | 2021-10-09 | 2021-11-26 | 北方工业大学 | Weak connection structure and method for micro-grid group and low-voltage distribution network |
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-
2018
- 2018-10-29 CN CN201811268182.5A patent/CN109347095A/en active Pending
Non-Patent Citations (1)
| Title |
|---|
| YANG GAO等: "Hierarchical Coordination Control for Interconnected Operation of Electric-thermal-gas Integrated Energy System with Micro-energy Internet Clusters", 《IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS ( EARLY ACCESS )》 * |
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