CN104505865A - Active power balance multi-agent method and system of active power distribution network - Google Patents
Active power balance multi-agent method and system of active power distribution network Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
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Abstract
The invention relates to the field of new energy management technology of the active power distribution network, and particularly discloses an active power balance multi-agent method and system of the active power distribution network. The active power balance multi-agent method is characterized by adopting the multi-agent idea, viewing each behavioral agent involved with active power balance of the active power distribution network as a smart Agent with the independent decision-making ability, and building a distributed power supply Agent model, an area control Agent model and a center control Agent model of the active power distribution network so as to coordinately manage the active power balance process. Based on the Agent models, the cooperation strategy is set by sufficiently considering the characteristics of the distributed power supplies in the inner layers of the areas, and inside supply and demand are coordinated according to the strategy so as to achieve active power self-balance of the inside of the areas. In addition, the areas are interacted and coordinate according to the contract agreement mechanism, unbalanced amount of active power inside the areas are coordinately balanced, and thus balance of the whole active power is achieved.
Description
Technical field
The present invention relates to active distribution network energy management new technical field, be specifically related to the many Proxy Methods of active distribution network active power balance and system.
Background technology
At present, at active distribution network energy management technical elements, mostly use centralized optimization control method to start with from factors such as control variables, constraints and target functions and a large amount of favourable discussion has been carried out to the Optimized Operation aspect of active distribution network; But centralized optimization controls to certainly exist two aspect problems along with the height of distributed power source infiltrates, and one is that amount of calculation is large, communication pressure is large; Two is the change adjustment decision-makings can not following the tracks of each distributed power source and load enough in real time neatly, thus loses real-time and flexibility; Therefore, scholar is had to propose to utilize the distributed nature of multi-agent technology to solve the active distribution network energy management problem of distributed power source height infiltration, but when setting up many agent element model, some methods arrange the Connection Element Agent such as too much bus, feeder line, reduce communication efficiency; Some methods adopt too single consistency distributed electrical source model, do not consider the characteristic of dissimilar distributed power source; Some methods are according to the modeling respectively of distributed electrical Source Type, but model too complex, reduce system effectiveness; In communication and coordination mechanism, the mechanism that many employings are full distributed, for actual distribution scale, the energy compatibility process of this mechanism is lengthy and jumbled, and efficiency is low.
Summary of the invention
Be directed to the above-mentioned problems in the prior art, an object of the present invention is to provide the many Proxy Methods of a kind of active distribution network active power balance, the muti-layer control tactics that the method adopts policy control, centralized control combines with distributed AC servo system, achieves the efficient in-situ balancing of active distribution network active power.
Another object of the present invention is to provide a kind of active distribution network active power balance multi-agent system.
To achieve these goals, the technical solution used in the present invention is:
There is provided a kind of active distribution network active power balance many Proxy Methods, comprising:
Active distribution network is divided into the region that several independently have partial autonomy's ability, and Agent formation active distribution network center control agents, Region control Agent, distributed power source Agent and load Agent are configured respectively to each distributed power source in active distribution network, each described region, described region and load;
According to the coordination strategy in the property settings region of distributed power source dissimilar in region between distributed power source;
The supply and demand information of active power in the region that distributed power source Agent acquisition Region control Agent issues, and according to described supply and demand information and coordination strategy, set the operational mode of self, with the self-balancing of the inner active power in feasible region of trying one's best;
Whether the supply and demand of the active power of inside, each Region control Agent judging area balances;
When balancing, realize the balance to the overall active power of active distribution network;
When out-of-balance, Region control Agent is again by coordinating, with the balance of active power in feasible region between contract agreement mechanism and other Region control Agent.
Described coordination strategy is that the policy setting fully coordinated according to the on-site elimination ability of clean energy resource maximum using, distributed power source and the characteristic of dissimilar distributed power source obtains.
The detailed process of described intra-zone active power self-balancing is: in the region that each distributed power source Agent acquisition Region control Agent issues, the active power of other distributed power source goes out force information and workload demand information, force information and workload demand information is gone out according to described active power, again according to described coordination strategy, set the operational mode of self, with the self-balancing of the inner active power in feasible region of trying one's best.
When out-of-balance described, Region control Agent is again by carrying out coordinating specifically to comprise the following steps between contract agreement mechanism and other Region control Agent:
The supply/demand of active power in Region control Agent judging area, and provide active power unbalanced supply-demand amount, issue information on bidding to other Region control Agent;
Other the Region control Agent receiving bidding documents can initiate bid information by the real time execution situation of distributed power source according to intra-zone; Described bid information comprises distributed power source ID, the available active power of distributed power source exerts oneself situation, the unit price of power in load ID, load active power a maximum demand and this region;
Region control Agent carries out decision-making according to the bid information received and self decision objective, determine to assist it to reach the relevant range control agents of active power balance in region, and carry out alternately with described relevant range control agents, reach energy compatibility agreement, finally realize the balance of this region active power.
When active power supply/demand in Region control Agent determinating area is when supply falls short of demand, described Region control Agent carries out decision-making according to the bid information received and self decision objective, and carry out alternately with relevant range control agents, reaching energy compatibility agreement detailed process is:
Region control Agent is according to the bid information received, available distributed power source in described bid information is sorted according to power supply priority and economy principle, then from top to bottom feasibility is adjusted to the available distributed power source in sorted lists, and from top to bottom energy compatibility agreement is initiated to the Region control Agent of distributed power source affiliated area available in sorted lists, and reach energy compatibility agreement one by one, till meeting region active power balance demand; Describedly feasibility is adjusted to available distributed power source refer to whether adjust active power transfer meets topological constraints, and whether cause trend out-of-limit;
Described power supply priority principle is: distributed power source carries out prioritization according to clean-up performance size, the distributed power source that clean-up performance is larger, and priority is higher;
Described power supply economy principle is: electric cost is minimum; Wherein, electric cost is superposed by unit price of power and unit transmission network loss to obtain.
When active power supply/demand in Region control Agent determinating area is when supply exceed demand, described Region control Agent carries out decision-making according to the bid information received and self decision objective, and carry out alternately with relevant range control agents, reaching energy compatibility agreement detailed process is:
Region control Agent is according to the bid information received, feasible load in described bid information is sorted according to load priority and economy principle, then from top to bottom feasibility is adjusted to the feasible load in sorted lists, and from top to bottom energy compatibility agreement is initiated to the Region control Agent of load affiliated area feasible in sorted lists, and reach energy compatibility agreement one by one, till meeting region active power balance demand; Describedly feasibility is adjusted to feasible load refer to whether adjust active power transfer meets topological constraints, and whether cause trend out-of-limit;
Described load priority principle is: load carries out prioritization according to significance level, more important load, and priority is larger;
Described load economy principle is: power supply income is the highest; Power supply income is subtracted each other by unit price of power and unit transmission network loss to obtain.
Described distributed power source is photovoltaic generation, storage battery or miniature gas turbine.
Described Agent is made up of data obtaining module, decision-making module and behavior module.
The mode of described active distribution network zoning is:
(1) if the feeder line of active distribution network comprises distributed power source in two block switch intervals, then it becomes an independently region;
(2) if the feeder line of active distribution network defines switch from branch comprise distributed power source to line end, then it is an independently region.
A kind of active distribution network active power balance multi-agent system, comprising:
Multiple distributed power source Agent, with thinking that system provides active power level and the start and stop state of active power support and monitoring and controlling distributed power source;
Multiple Region control Agent, in order to the running state information of distributed power source in monitoring and controlling region, coordinates the supply and demand of interregional active power with the balance of active power in feasible region;
Multiple load Agent, in order to meet need for electricity and monitoring and controlling load active power level and to cut-off state;
Active distribution network center control agents, in order to the ruuning situation to the instruction of Region control Agent issuing control and supervision and the whole active distribution network of regulation and control.
The many Proxy Methods of active distribution network active power balance of the present invention (multi-agent system, MAS), on the basis of active distribution network subregion, the muti-layer control tactics that employing policy control, centralized control combine with distributed AC servo system, realizes the efficient in-situ balancing of the rear power distribution network active power of distributed power source access.The method utilizes and acts on behalf of thought more, each behavioral agent related to by active distribution network active power balance is considered as the intelligent Agent with independent decision-making ability, set up and represent photovoltaic Agent, the storage battery Agent of photovoltaic generation (PV), storage battery (BS), miniature gas turbine (MT) and load (LA), miniature gas turbine Agent and load Agent model respectively, meanwhile, Region control Agent and active distribution network center control agents model is set up to coordinate and manage active power balance process; Based on above Agent model, take into full account dissimilar distributed power source property settings coordination strategy in area inner layer, and by the inner supply and demand of this policy co-ordination, with the active power self-balancing of inside, feasible region of trying one's best; Interregional, undertaken alternately by contract agreement mechanism, the active power amount of unbalance of each intra-zone of coordinated balance, thus reach the balance of overall active power.
The many Proxy Methods of active distribution network active power balance of the present invention and system have following beneficial effect:
1) the present invention acts on behalf of distributed power source, configuration of load Agent respectively, add simultaneously and set up Region control Agent and active distribution network center control agents model to coordinate and manage active power balance process, avoid setting up active distribution network Connection Element Agent, greatly improve system effectiveness.
2) the present invention is on the basis to active distribution network zoning, in region, the behaviour decision making of distributed power source is carried out based on clean energy resource maximum using and the coordination strategy fully analyzed on the basis of dissimilar distributed power source characteristic, not only can the supply and demand of the scientifically inner active power of equilibrium region, can also reduce much unnecessary mutual, make decision process simple and quick.
3) the present invention is to setting area, each region control agents, and this Region control Agent grasps the region overall situation, focuses on, thus can reach the equilibrium of supply and demand expeditiously to the unbalanced supply-demand in whole region; Further, when not realizing autonomous balance in region, mutually mutual between Region control Agent, cooperation, realizes the balance of the active power supply and demand of the overall situation; This kind of mode takes full advantage of the advantage of multi-agent system Distributed Calculation, achieves real-time and the flexibility of energy compatibility in the active distribution network to the infiltration of distributed power source height.
4) the present invention carries out universal time coordinated employing contract net protocol mechanism between zones, by task by calling for bid-submit a tender-this market mechanism of getting the bid distributes, system is made to complete distributed task scheduling with lower cost, higher quality, efficiency is greatly enhanced, and communication process is also simplified greatly.
Accompanying drawing explanation
Fig. 1 is the structured flowchart of an embodiment of active distribution network active power balance multi-agent system of the present invention.
Fig. 2 is the structured flowchart of Agent of the present invention.
Fig. 3 is the flow chart of an embodiment of the many Proxy Methods of active distribution network active power balance of the present invention.
Fig. 4 is that active power of the present invention is for not asking active power balance process flow diagram between time domain.
Fig. 5 is active power of the present invention supply exceed demand between time domain active power balance process flow diagram.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly, below in conjunction with the specific embodiment of the invention and corresponding accompanying drawing, technical solution of the present invention is clearly and completely described.
It is the structured flowchart of an embodiment of active distribution network active power balance multi-agent system of the present invention with reference to figure 1, Fig. 1; This system comprises active distribution network center control agents, Region control Agent, photovoltaic cell Agent, miniature gas turbine Agent, storage battery Agent, super capacitor Agent and load Agent;
Wherein, as shown in Figure 2, Agent is made up of data obtaining module, decision-making module and behavior module three parts; The relevant information of the external environment condition that data obtaining module needs when referring to and obtain decision-making, comprises basic data and real time data two class; Decision-making module is the nucleus module of each distributed power source Agent action behavior, and its function is the external information according to obtaining, and behavior of making judges, to realize the re-set target of this Agent; And the decision behavior of the concrete implementation decision module of module in charge is taked in behavior, and act on external environment condition.
Region control Agent: with the steady optimized operation in region for target, obeys the scheduling of active distribution network center control agents simultaneously; Be responsible for recording the information with the distributed power source that is connected outside distributed power source in monitor area and region, monitor area trend, inspection area retrains, area operation situation is informed to each distributed power source of intra-zone Agent, can dispatch distributed power source Agent in region, and represent region and other regions and coordinate alternately; In addition, the adding and exit needs and initiate to ask to Region control Agent of distributed power source Agent in region.
Photovoltaic generation Agent: think that system provides active power to support and the stable operation of the system of maintenance is target, realize maximum output as far as possible; Photovoltaic cell Agent can the power level of monitoring and controlling photovoltaic cell and start and stop state, ensures that photovoltaic cell can run reliable and securely; This photovoltaic cell Agent has MPPT maximum power point tracking (MPPT) and voltage control (VL) two kinds of patterns, and for ensureing the maximum utilization of clean energy resource, under allowing it be operated in MPPT pattern, operation need meet rated power constraint as far as possible.
Miniature gas turbine Agent: thinking that system provides active power to support and maintain the stable operation of system is target, photovoltaic generation and storage battery exert oneself can not meet workload demand time, power supply of making up the gap; Miniature gas turbine Agent can obtain area information, exerting oneself and start and stop state of monitoring and controlling miniature gas turbine, compared with the time constant of electric power system, miniature gas turbine has larger time constant, therefore, can not make the change of load power demand and reacting quickly and accurately; Meanwhile, because it is not as photovoltaic cell and Wind turbines environmental protection, miniature gas turbine is commonly used to compensate the part beyond average power requirement, charges a battery simultaneously, need meet rated power and minimum normal operate power retrains.
Storage battery Agent: with peak load shifting, for system provides active power support to be target, as far as possible for the power self-balancing of region provides support; Storage battery Agent can obtain area information, and the exerting oneself of monitoring and controlling storage battery, SOC situation, charging and discharging state and start and stop state, need meet rated power and SOC behavior constraint.
Load Agent: with As soon as possible Promising Policy need for electricity for target, has the change of monitoring and controlling load power and cut-offs situation, administrative loads priority, the functions such as excision load; Wherein, load priority is successively decreased from important load, common load successively to interruptible load.
Active distribution network center control agents: the trend and the constraint that monitor whole active distribution network; For active distribution network center control agents, regional is equivalent to a schedulable unit, can give an order to Region control Agent, specify the operational mode of its element in whole or in part, thus carry out macro adjustments and controls, and such as, the centralized dispatching etc. under peak load shifting, failure condition.
As shown in Figure 1, this system is divided into three levels: autonomous layer, interregional cooperation layer and distribution center key-course in region; In region, autonomous layer refers to that the Agent of each intra-zone reaches the in a basic balance fast of inner active power by local autonomy; Interregional cooperation layer refers to when the active power in region cannot reach homeostasis, carries out alternately by Region control Agent and other Region control Agent with contract net protocol mechanism, coordinates to reach active power balance; The distribution center ruuning situation of key-course to whole distribution monitors and regulates and controls, and can issue control command to regional control agents.
Be the flow chart S100 adopting active distribution network active power balance multi-agent system of the present invention to carry out active power balance see Fig. 3, Fig. 3; This flow chart S100 comprises step S101 to step S105;
In step S101, active distribution network is divided into the region that several independently have partial autonomy's ability, and Agent formation active distribution network center control agents, Region control Agent, distributed power source Agent and load Agent are configured respectively to each distributed power source in active distribution network, each region, region and load;
According to an embodiment of the application, active distribution network is divided in the following manner the region that several independently have partial autonomy's ability:
1) if feeder line comprises controlled distribution formula power supply in two block switch intervals, it becomes an independently autonomous area;
2) if feeder line defines switch from branch comprise controlled distribution formula power supply to line end, it is an independently autonomous area.
This partitioned mode can adapt to the changeable feature of active distribution network operational mode well, and namely the scope of autonomous area does not change because of the adjustment of interconnection switch position, has very high flexibility; In addition, this dividing mode be based on active distribution network automation configuration actual state, can Real-time Collection to autonomous area to the power injection value of feeder line, there is very high practicality.
According to an embodiment of the application, photovoltaic generation, storage battery, miniature gas turbine and load is comprised in region, arrange Agent respectively to said elements to act on behalf of, add cooperation control Agent, then comprise in autonomous area: Region control Agent, photovoltaic cell Agent, miniature gas turbine Agent, storage battery Agent and load Agent.
In step s 102, according to the coordination strategy in the property settings region of distributed power source dissimilar in region between distributed power source;
According to an embodiment of the application, on the basis of above-mentioned subregion, in region, the behaviour decision making of each distributed power source is carried out based on coordination strategy, this coordination strategy is at guarantee clean energy resource maximum using, the on-site elimination ability of distributed power source and fully analyze different distributions formula power supply characteristic basis on formulate, such as when photovoltaic generation exert oneself be greater than region workload demand and storage battery less than time, be responsible for load by photovoltaic generation to power, storage battery charges, this kind of mode both can the scientifically inner supply and demand of equilibrium region, can reduce again much unnecessary mutual, make decision process simply and fast.
In step s 103, the supply and demand information of active power in the region that distributed power source Agent acquisition Region control Agent issues, and according to supply and demand information and coordination strategy, set the operational mode of self, with the self-balancing of the inner active power in feasible region of trying one's best;
According to an embodiment of the application, during the self-balancing of region, in the region that first each distributed power source Agent issues according to Region control Agent, the supply and demand information of active power grasps the state of each distributed power source in region, judge according to coordination strategy in region and oneself state again, determine respective control model.
In region shown in coordination strategy table 1 specific as follows:
Coordination strategy in table 1 region
This strategy both ensure that the maximum using of clean energy resource, and the characteristic making full use of again dissimilar distributed power source coordinates the in-situ balancing achieving region active power.
Such as: suppose certain moment, in region, the real-time condition of distributed power source and load is as shown in table 2 below:
The real-time condition of distributed power source and load in table 2 region
| Element | Ruuning situation |
| Load | Active power demand is 900kW |
| Photovoltaic generation 1 | Maximum output is 300kW |
| Photovoltaic generation 2 | Maximum output is 350kW |
| Storage battery | Current charge capacity is 600kWh, and discharge and recharge rated power is 300kW |
| Miniature gas turbine | Output power range is 100kW ~ 400kW |
According to the real-time condition of each distributed power source and load in region in table 2, each distributed power source can judge: under the scene that this time domain is in " storage battery has energy storage; photovoltaic generation is exerted oneself and is less than load but difference is little ", according to above-mentioned coordination strategy, under photovoltaic generation 1,2 is all operated in MPPT pattern, storage battery is exerted oneself the difference of exerting oneself for workload demand and photovoltaic generation: 900kW-300kW-350kW=250kW, it is 0 that miniature gas turbine is exerted oneself.
In step S104 and step S105, whether the supply and demand of the active power of inside, Region control Agent judging area balances; When balancing, realize the balance to the overall active power of active distribution network; When out-of-balance, Region control Agent again by coordinating between contract agreement mechanism and other Region control Agent, to realize the balance of the overall active power of active distribution network.
According to an embodiment of the application, when the active power in region can not homeostasis time, the supply/demand of active power in Region control Agent judging area, and provide active power unbalanced supply-demand amount, send request to other Region control Agent or active distribution network center control agents, and carry out decision-making according to their reply.
1) when active power supply/demand in Region control Agent determinating area is when supply falls short of demand, interregional active power balance process as shown in Figure 4;
Region control Agent provides active power difference, increases the meritorious supply to this region, after receiving reply to other attainable active power source (other Region control Agent or active distribution network center control agents) request:
I: if without optional source, then send to flexible load and cut off load from low to high until the request of balance between supply and demand according to priority.
Ii: if there is optional source, then according to the return information received, available distributed power source in return information is sorted according to power supply priority and economy principle, sort by power supply priority by the available distributed power source in return information, sort from low to high by electric cost in same priority, then from top to bottom feasibility is adjusted to the available distributed power source in sorted lists, and from top to bottom energy compatibility agreement is initiated to the Region control Agent of distributed power source affiliated area available in sorted lists, and reach energy compatibility agreement one by one, till meeting region active power balance demand, if sorted lists is empty, does not still meet active power demand, then send to flexible load and cut off load from low to high until the request of balance between supply and demand according to priority.
Wherein, feasibility is adjusted to available distributed power source and refers to whether adjust active power transfer meets topological constraints, and whether cause trend out-of-limit;
Power supply priority and economy determine by following principle:
Power supply priority principle: each distributed power source carries out prioritization by clean-up performance, and photovoltaic generation priority is the highest, and storage battery takes second place, and miniature gas turbine is minimum.
Economy principle is: electric cost is minimum; Wherein, electric cost is added by unit price of power and unit transmission network loss to obtain.
Such as: suppose that the Region control Agent of this time domain A detects that in region, current active power difference is 350kW, then initiate request to other Region control Agent, the return information received after 10s is as shown in table 3 below:
The return information of other Region control Agent of table 3
According to the return information of other Region control Agent listed in table 3, three distributed power source sequences, first according to clean energy resource maximum using and economy principle, are: storage battery i by the Region control Agent of region A, miniature gas turbine r, miniature gas turbine j; Then, first the feasibility of storage battery i is checked, if infeasible, turn to the next one (i.e. miniature gas turbine r), if feasible, Region control Agent then to region B initiates the power supply agreement that active power is 200kW, wait for and replying, if reply as " acceptance ", then this agreement is reached, if reply as " refusal ", then agreement is not reached; Suppose that agreement is reached, active power difference then in present region becomes 150kW, the Region control Agent of region A turns to miniature gas turbine r, initiate the agreement that active power is 150kW after checking feasibility, if reply " reception ", then the active power difference in region all meets, this process terminates, " if refusal ", then next distributed power source is turned to continue as above step, until active power difference meets.
2) when active power supply/demand in Region control Agent determinating area is when drug on the market, interregional active power balance process as shown in Figure 5;
Region control Agent provides active power difference, asks to increase dissolving to this region active power to other attainable " load " (other Region control Agent).
I: if without optional " load ", then limit photovoltaic generation and exert oneself, under making it be operated in VL pattern;
Ii: if having optional " load ", then according to the return information received, feasible load in return information is sorted according to load priority and economy principle, sort by load priority by the load in return information, sort from high to low by power supply income in same priority, then from top to bottom feasibility is adjusted to the feasible load in sorted lists, and from top to bottom energy compatibility agreement is initiated to the Region control Agent of load affiliated area feasible in sorted lists, and reach energy compatibility agreement one by one, till meeting region active power balance demand, if sorted lists is empty, still do not meet active power demand, then limit photovoltaic generation and exert oneself, under making it be operated in VL pattern.
Wherein, feasibility is adjusted to feasible load and refers to whether adjust active power transfer meets topological constraints, and whether cause trend out-of-limit.
Load priority and economy determine by following principle:
Load priority principle is: load carries out prioritization according to significance level, more important load, and priority is larger, and interruptible load priority is minimum.
Load economy principle is: power supply income is the highest; Power supply income is subtracted each other by unit price of power and unit transmission network loss to obtain.
Many Proxy Methods of the present invention are summarised as: each distributed power source is according to autonomous mechanism balance in region, and the supply and demand information setting self-operating pattern current according to region, reaches the basic active power of intra-zone fast; When there is the active power that cannot balance in intra-zone, the Region control Agent in this region initiates energy compatibility agreement to the Region control Agent in other region, and carry out decision-making according to the reply received and self decision objective, give to reply to respective regions control agents and reach energy compatibility agreement; Finally, relevant range control agents carries on an agreement, and realizes the balance of this region active power.
The main process that method of the present invention realizes comprises sets up element and system model, setting communication and coordination mechanism.
The present invention is when building component models, arrange Agent to distributed power source and load to act on behalf of, add simultaneously and set up Region control Agent and power distribution network center control agents model to coordinate and manage active power balance process, avoid setting up distribution Connection Element Agent, improve system effectiveness.
Coordination mechanism aspect, for the active distribution network that distributed power source height infiltrates, adopt traditional central controlled method will inevitably sacrifice real-time and flexibility, and adopt the method for distributed AC servo system can sacrifice high efficiency completely, therefore the present invention adopts the method that policy control, centralized control combine with distributed AC servo system, both held implementation and flexibility, can realize again the in-situ balancing of active power efficiently, its concrete meaning is as follows:
Policy control: on the basis of subregion, in region, the behaviour decision making of distributed power source is carried out based on coordination strategy, this strategy be formulate on the basis ensureing clean energy resource maximum using and fully analyze different distributions formula power supply characteristic (such as when photovoltaic generation exert oneself be greater than region workload demand and storage battery less than time, be responsible for load by photovoltaic generation to power, storage battery charges), both can the scientifically inner supply and demand of equilibrium region, can reduce again much unnecessary mutual, make decision process simple and fast.
Centralized control: Region control Agent grasps the region overall situation, carries out concentrative process to the unevenness between supply and demand in whole region; In regional extent, after its distributed power source is according to the supply and demand of coordination strategy reasonable coordination active power, only there is the uneven situation of minority needs interactive decision making, is responsible for reach balance between supply and demand expeditiously by Region control Agent.
Distributed AC servo system: each Region control Agent distributed coordination coordinates, realizes the active balance of the overall situation; Take full advantage of the advantage of multi-agent system Distributed Calculation, meet active distribution network that distributed power source height infiltrates to energy compatibility real-time and flexibility.
Communication mechanism aspect: the present invention adopts contract net protocol mechanism, the basic thought of contract net protocol mechanism be by task by calling for bid-submit a tender-this market bid mechanism of getting the bid distributes, system is made to complete distributed task scheduling with lower cost, higher quality, efficiency, higher than the circulating layer by layer communication mechanism communicated based on adjacent Agent, enormously simplify communication process.
Claims (10)
1. the many Proxy Methods of active distribution network active power balance, is characterized in that, comprising:
Active distribution network is divided into the region that several independently have partial autonomy's ability, and Agent formation active distribution network center control agents, Region control Agent, distributed power source Agent and load Agent are configured respectively to each distributed power source in active distribution network, each described region, described region and load;
According to the coordination strategy in the property settings region of distributed power source dissimilar in region between distributed power source;
The supply and demand information of active power in the region that distributed power source Agent acquisition Region control Agent issues, and according to described supply and demand information and coordination strategy, set the operational mode of self, with the self-balancing of the inner active power in feasible region of trying one's best;
Whether the supply and demand of the active power of inside, each Region control Agent judging area balances;
When balancing, realize the balance to the overall active power of active distribution network;
When out-of-balance, Region control Agent is again by coordinating, with the balance of active power in feasible region between contract agreement mechanism and other Region control Agent.
2. the many Proxy Methods of active distribution network active power balance according to claim 1, is characterized in that: described coordination strategy is that the policy setting fully coordinated according to the on-site elimination ability of clean energy resource maximum using, distributed power source and the characteristic of dissimilar distributed power source obtains.
3. the many Proxy Methods of active distribution network active power balance according to claim 1 and 2, is characterized in that, the detailed process of described intra-zone active power self-balancing is:
In the region that each distributed power source Agent acquisition Region control Agent issues, the active power of other distributed power source goes out force information and workload demand information, force information and workload demand information is gone out according to described active power, again according to described coordination strategy, set the operational mode of self, with the self-balancing of the inner active power in feasible region of trying one's best.
4. the many Proxy Methods of active distribution network active power balance according to claim 1, is characterized in that, when out-of-balance described, and Region control Agent is again by carrying out coordinating specifically to comprise the following steps between contract agreement mechanism and other Region control Agent:
The supply/demand of active power in Region control Agent judging area, and provide active power unbalanced supply-demand amount, issue information on bidding to other Region control Agent;
Other the Region control Agent receiving bidding documents can initiate bid information by the real time execution situation of distributed power source according to intra-zone; Described bid information comprises distributed power source ID, the available active power of distributed power source exerts oneself situation, the unit price of power in load ID, load active power a maximum demand and this region;
Region control Agent carries out decision-making according to the bid information received and self decision objective, determine to assist it to reach the relevant range control agents of active power balance in region, and carry out alternately with described relevant range control agents, reach energy compatibility agreement, finally realize the balance of this region active power.
5. the many Proxy Methods of active distribution network active power balance according to claim 4, it is characterized in that, when active power supply/demand in Region control Agent determinating area is when supply falls short of demand, described Region control Agent carries out decision-making according to the bid information received and self decision objective, and carry out alternately with relevant range control agents, reaching energy compatibility agreement detailed process is:
Region control Agent is according to the bid information received, available distributed power source in described bid information is sorted according to power supply priority and economy principle, then from top to bottom feasibility is adjusted to the available distributed power source in sorted lists, and from top to bottom energy compatibility agreement is initiated to the Region control Agent of distributed power source affiliated area available in sorted lists, and reach energy compatibility agreement one by one, till meeting region active power balance demand; Describedly feasibility is adjusted to available distributed power source refer to whether adjust active power transfer meets topological constraints, and whether cause trend out-of-limit;
Described power supply priority principle is: distributed power source carries out prioritization according to clean-up performance size, the distributed power source that clean-up performance is larger, and priority is higher;
Described power supply economy principle is: electric cost is minimum; Wherein, electric cost is superposed by unit price of power and unit transmission network loss to obtain.
6. the many Proxy Methods of active distribution network active power balance according to claim 4, it is characterized in that, when active power supply/demand in Region control Agent determinating area is when supply exceed demand, described Region control Agent carries out decision-making according to the bid information received and self decision objective, and carry out alternately with relevant range control agents, reaching energy compatibility agreement detailed process is:
Region control Agent is according to the bid information received, feasible load in described bid information is sorted according to load priority and economy principle, then from top to bottom feasibility is adjusted to the feasible load in sorted lists, and from top to bottom energy compatibility agreement is initiated to the Region control Agent of load affiliated area feasible in sorted lists, and reach energy compatibility agreement one by one, till meeting region active power balance demand; Describedly feasibility is adjusted to feasible load refer to whether adjust active power transfer meets topological constraints, and whether cause trend out-of-limit;
Described load priority principle is: load carries out prioritization according to significance level, more important load, and priority is larger;
Described load economy principle is: power supply income is the highest; Power supply income is subtracted each other by unit price of power and unit transmission network loss to obtain.
7. the many Proxy Methods of active distribution network active power balance according to claim 1, is characterized in that, described distributed power source is photovoltaic generation, storage battery or miniature gas turbine.
8. the many Proxy Methods of active distribution network active power balance according to claim 1, is characterized in that: described Agent is made up of data obtaining module, decision-making module and behavior module.
9. the many Proxy Methods of active distribution network active power balance according to claim 1, is characterized in that:
The mode of described active distribution network zoning is:
(1) if the feeder line of active distribution network comprises distributed power source in two block switch intervals, then it becomes an independently region;
(2) if the feeder line of active distribution network defines switch from branch comprise distributed power source to line end, then it is an independently region.
10. an active distribution network active power balance multi-agent system, is characterized in that, comprising:
Multiple distributed power source Agent, with thinking that system provides active power level and the start and stop state of active power support and monitoring and controlling distributed power source;
Multiple Region control Agent, in order to the running state information of distributed power source in monitoring and controlling region, coordinates the supply and demand of interregional active power with the balance of active power in feasible region;
Multiple load Agent, in order to meet need for electricity and monitoring and controlling load active power level and to cut-off state;
Active distribution network center control agents, in order to the ruuning situation to the instruction of Region control Agent issuing control and supervision and the whole active distribution network of regulation and control.
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