CN102208834A - Scheduling system and method of intelligent power grid - Google Patents
Scheduling system and method of intelligent power grid Download PDFInfo
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- CN102208834A CN102208834A CN2011101372830A CN201110137283A CN102208834A CN 102208834 A CN102208834 A CN 102208834A CN 2011101372830 A CN2011101372830 A CN 2011101372830A CN 201110137283 A CN201110137283 A CN 201110137283A CN 102208834 A CN102208834 A CN 102208834A
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Abstract
The invention provides a scheduling system and method of an intelligent power grid. The system comprises a generation node information acquisition module, an electricity node configuration module, a processing module, a list-generating module and a scheduling module, wherein the generating node information acquisition module is used for acquiring generation node information of generation nodes in the intelligent power grid; the electricity node configuration module is used for presetting a priority mode and a coincidence mode of electricity nodes; the processing module is used for calculating to obtain scheduling priority of the electricity nodes in accordance with the generation node information, the priority mode and the coincidence mode; the list-generating module is used for generating a generation node list in accordance with the scheduling priority; and the scheduling module is used for scheduling the electricity nodes to the generation nodes in accordance with the generation node list. According to the scheduling system and method, the electricity nodes are scheduled to the generation nodes according to the information of the generation mode list, thus the electric energy provided by the generation nodes in the intelligent power grid can be transmitted to the electricity nodes most efficiently, thereby saving a part of electric energy which is consumed by centralizing and then distributing the electric energy in a traditional power grid, saving a large number of energy, and improving the use ratio of the electric energy.
Description
[technical field]
The present invention relates to the intelligent grid field, particularly relate to a kind of intelligent grid dispatching patcher and method.
[background technology]
Intelligent grid (smart power grids), it is exactly the intellectuality of electrical network, be also referred to as " electrical network 2.0 ", it is based upon integrated, on the basis of high-speed bidirectional communication network, sensing and measuring technique by the advanced person, advanced equipment and technology, advanced control method and advanced DSS The Application of Technology, realize the reliable of electrical network, safety, economical, efficiently, environmental friendliness and target safe in utilization, its principal character comprises self-healing, excitation and comprise the user, resist attack, the quality of power supply that satisfies the 21 century user's request is provided, allow the access of various different forms of electricity generation, the optimization that starts electricity market and assets efficiently moves.
The rise of intelligent grid promotes the rise of green energy resource, and the intelligent scheduling of green energy resource is the effective means that improves energy utilization rate in the intelligent grid.And the dispatching of power netwoks pattern under the traditional energy can not satisfy the little and diffusing distribution of green energy resource, can not build according to planning as the traditional energy power station.The distribution place in green energy resource power station is determined therefore have randomness by specific natural environment.For example where the where is it wind where is it sun is just built, can not concentrate the scheduling method of distribution again with the elder generation under the traditional energy form again, flow through very long transmission pressure and cause huge power consumption in the process that electric energy will formerly concentrate the back to distribute so, make energy utilization rate not high.
[summary of the invention]
Based on this, be necessary to provide a kind of intelligent grid dispatching patcher that improves energy utilization rate;
In addition, also be necessary to provide a kind of intelligent grid dispatching method that improves energy utilization rate.
A kind of intelligent grid dispatching patcher comprises: generating nodal information acquisition module is used for gathering the generating nodal information of intelligent grid generating node; Electricity consumption node configuration module is used for default mode of priority with electrical nodes and meets pattern; Processing module is used for according to described generating nodal information, mode of priority and meets mode computation obtain the generating electricity dispatching priority degree of node; The tabulation generation module is used for generating the generating node listing according to described dispatching priority degree; And scheduler module, be used for dispatching with electrical nodes to the node that generates electricity according to described generating node listing.
Preferably, described processing module comprises: the relative importance value computing unit, be used for according to described generating nodal information calculate the generating node priority level information; The relative importance value selected cell is used for determining mode of priority according to the information that described priority level information is selected and described mode of priority is complementary; The degree of conformity computing unit is used for comparing with the described demand that meets pattern according to described priority level information, determines to meet pattern; And dispatching priority degree computing unit, be used for obtaining the dispatching priority degree according to described mode of priority and the described mode computation that meets.
Preferably, also comprise the support module that is connected with described scheduler module, described scheduler module is used to also judge whether the generating node can reach the mode of priority and the requirement that meets pattern with electrical nodes; Not, then described support module is used to dispatch the trunk electrical network to using electrical nodes.
Preferably, also comprise the feedback module that is connected with described scheduler module, processing module, described scheduler module is used to also judge whether the generating node can reach the mode of priority and the requirement that meets pattern with electrical nodes; , then described feedback module does not order about the dispatching priority degree that described processing module recomputates the generating node.
Preferably, described processing module also is used for the dispatching priority degree that loop cycle is calculated the generating node.
A kind of intelligent grid dispatching method comprises: the generating nodal information of gathering generating node in the intelligent grid; Default mode of priority with electrical nodes with meet pattern; According to described generating nodal information, mode of priority with meet mode computation obtain the generating electricity dispatching priority degree of node; Generate the generating node listing according to described dispatching priority degree; Dispatch with electrical nodes to the node that generates electricity according to described generating node listing.
Preferably, described according to described generating nodal information, mode of priority with meet mode computation obtain the generating electricity step of dispatching priority degree of node and comprise: the priority level information that calculates the generating node according to described generating nodal information; According to the information of selecting in the described priority level information to be complementary, determine mode of priority with described mode of priority; Compare with the described demand that meets pattern according to described priority level information, determine to meet pattern; Obtain the dispatching priority degree according to described mode of priority and the described mode computation that meets.
Preferably, the step according to described dispatching priority degree generation generating node listing comprises the steps: to empty the generating node listing; Select the generating node of described dispatching priority degree to add the generating node listing.
Preferably, the step that generates the generating node listing according to described dispatching priority degree has the following steps afterwards: judge whether described generating node can reach the mode of priority and the requirement that meets pattern with electrical nodes, be then to enter according to described generating node listing and dispatch with the step of electrical nodes to the node that generates electricity; Not, then return according to described generating nodal information, mode of priority and meet mode computation obtain the generating electricity step of dispatching priority degree of node.
Preferably, the step that generates the generating node listing according to described dispatching priority degree has the following steps afterwards: judge whether described generating node can reach the mode of priority and the requirement that meets pattern with electrical nodes, be then to enter according to described generating node listing and dispatch with the step of electrical nodes to the node that generates electricity; , then do not dispatch the trunk electrical network to using electrical nodes.
Preferably, according to described generating nodal information, mode of priority and meet mode computation obtain generating electricity node the dispatching priority degree step also further loop cycle calculate the dispatching priority degree of generating node.
Above-mentioned intelligent grid dispatching patcher and method, according to the generating node listing message scheduling with electrical nodes to the node that generates electricity, electric energy that generating node in the intelligent grid provided is transferred in mode the most efficiently use electrical nodes, saved to concentrate afterwards earlier in traditional electrical network and distributed electric energy and the electric energy of the loss of having to, save lot of energy, improved the utilance of electric energy.
Simultaneously, all electric energy that provide from the generating node all are through electricity consumption node configuration module default preference pattern and the screening that meets pattern, it is real for electric energy stable, high-quality is provided with electrical nodes, and be the most satisfactory electric energy, further improved the utilance and the stability of electric energy.
[description of drawings]
Fig. 1 is the schematic diagram of the intelligent grid dispatching patcher of first embodiment;
Fig. 2 is the concrete schematic diagram of processing module among Fig. 1;
Fig. 3 is the schematic diagram of the intelligent grid dispatching patcher of second embodiment;
Fig. 4 is the schematic diagram of the intelligent grid dispatching patcher of the 3rd embodiment;
Fig. 5 is the flow chart of the intelligent grid dispatching method of first embodiment;
Fig. 6 is the particular flow sheet of step S300 among Fig. 5;
Fig. 7 is the particular flow sheet of step S400 among Fig. 5;
Fig. 8 is the flow chart of the intelligent grid dispatching method of second embodiment;
Fig. 9 is the flow chart of the intelligent grid dispatching method of the 3rd embodiment.
[embodiment]
In order to solve the not high problem of energy utilization rate, a kind of intelligent grid dispatching patcher that improves energy utilization rate has been proposed.
In first embodiment, in conjunction with the accompanying drawings 1, a kind of intelligent grid dispatching patcher, comprise generating nodal information acquisition module 100, electricity consumption node configuration module 200, with the processing module 300 that generating nodal information acquisition module 100, electricity consumption node configuration module 200 are connected respectively, the tabulation generation module 400 that is connected with processing module 300 and the scheduler module 500 that is connected with tabulation generation module 400.
Generating nodal information acquisition module 100 is used for gathering the generating nodal information of intelligent grid generating node.Particularly, transducer, detector or other the signal collecting device collection generating nodal information of generating nodal information acquisition module 100 by being arranged on each generating node in the intelligent grid.Wherein, each generating node comprises wind energy, solar energy, biological energy source, water energy, biogas energy, geothermal energy or tidal energy equal energy source generating node.The generating nodal information of being gathered comprises the surplus capacity of the node that generates electricity, particularly, surplus capacity is remaining generating capacity (can be generated output etc.), remaining the power supply capacity size of internal memory/storage of electrical energy (can be etc.), remaining electrical network the bandwidth number of degrees of per second transmission (can be etc.) and distance information such as (the generating node are to the distance with electrical nodes).
Electricity consumption node configuration module 200 is used for default mode of priority with electrical nodes and meets pattern.Particularly, electricity consumption node configuration module 200 can be according to the demand of electrical nodes self, default mode of priority with electrical nodes with meet pattern.This usefulness electrical nodes can be domestic consumer's the electrical nodes of using, the industrial electrical nodes of using, commercial operation with electrical nodes or charging station with electrical nodes etc.
Mode of priority, according to the demand of electrical nodes, can preset the generating capacity of generating node high preferential, power supply capacity strong precedence, the fast preferential or short priority scheduling of distance of electrical network bandwidth.Be appreciated that also and can set mode of priority according to occurrence or value range, for example generating capacity is that the 100MW megawatt is preferential, and power supply capacity is that 10～20MW megawatt is preferential, and the electrical network bandwidth is that 100 degree per seconds are preferential, and distance is a priority scheduling within 5～7KM kilometer.
Meet pattern,, can preset that the generating node is proposed to meet the requirement of using electrical nodes according to requirement with electrical nodes.For example providing can not be less than M (10MW megawatt) with the remaining power supply capacity of electrical nodes, providing can not be less than F (100MW megawatt) with the available generating capacity of electrical nodes, provide the electrical network bandwidth that can use with electrical nodes can not be less than C (100 degree per second), the distance that provides be not more than T (5 kilometers).
Further, in conjunction with the accompanying drawings 2, processing module 300 comprises relative importance value computing unit 301, relative importance value selected cell 302, degree of conformity computing unit 303 and dispatching priority degree computing unit 304.
Relative importance value computing unit 301, be used for according to the generating nodal information calculate the generating node priority level information.Particularly, the generating nodal information that relative importance value computing unit 301 gets access to according to generating nodal information acquisition module 100, function f is calculated and the priority level information of the node i that obtains generating electricity by setting.This priority level information comprises comprehensive relative importance value Ei, generating capacity relative importance value Fi, power supply capacity relative importance value Gi, electrical network bandwidth relative importance value Hi, stablizes relative importance value Ii etc.
The generating node of function f correspondence is i, and comprehensive relative importance value Ei=f (Ai, Bi, Ci, Di), generating capacity relative importance value Fi=f (Ai), power supply capacity relative importance value Gi=f (Bi), electrical network bandwidth relative importance value Hi=f (Ci), stablize relative importance value Ii=f (Di).Particularly,
Comprehensive relative importance value: Ei=Ai/Aall+Bi/Ball+Ci/Call-Di/Dall;
Generating capacity relative importance value: Fi=Ai/Aall;
Power supply capacity relative importance value: Gi=Bi/Ball;
Electrical network bandwidth relative importance value: Hi=Ci/Call;
Stablize relative importance value: Ii=1-(Di/Dall);
Wherein, Aall is the total generating capacity of generating node i, and Ball is the total capability for load of generating node i, and Call is total electrical network bandwidth of generating node i, Dall be the patient rise of generating node i institute from; Ai is remaining generating capacity, and Bi is remaining power supply capacity, and Ci is remaining electrical network bandwidth, and Di is with the distance of electrical nodes to the node that generates electricity.
Function f need follow that the big more then Ei of Ai is big more, and Bi is big more, and then Ei is big more, and Ci is big more, and then Ei is big more, the more little principle of the big more then Ei of Di.In conjunction with concrete example, if the total generating capacity Aall of generating node i is 500MW, remaining generating capacity Ai is 300MW, and then generating capacity relative importance value Fi=f (Ai)=Ai/Aall=300MW/500MW is 0.6.Be appreciated that comprehensive relative importance value Ei, generating capacity relative importance value Fi, power supply capacity relative importance value Gi, electrical network bandwidth relative importance value Hi and stablize relative importance value Ii and can calculate concrete numerical value by identical numerical procedure.
Relative importance value selected cell 302 is used for determining selected mode of priority according to the information that priority level information is selected and mode of priority is complementary.Particularly, in conjunction with the default mode of priority of priority level information, this mode of priority can be that generating capacity is preferential, power supply capacity preferential or electrical network bandwidth priority scheduling.In conjunction with concrete example, the mode of priority that relative importance value selected cell 302 is selected is that generating capacity is preferential, then obtains the generating capacity priority level information from priority level information.
Degree of conformity computing unit 303 is used for comparing with the demand that meets pattern according to priority level information, determines to meet pattern.Particularly, meet that the demand of pattern is predeterminable to be: with the Capability Requirement of electrical nodes to the generating node, for example provide the available remaining power supply capacity of this usefulness electrical nodes can not be less than M (10MW megawatt), provide the available generating capacity of this usefulness electrical nodes can not be less than F (100MW megawatt), provide the available electrical network bandwidth of this usefulness electrical nodes can not be, provide this to be not more than T (5 kilometers) with electrical nodes to the distance of the node that generates electricity less than C (100 degree per second).
At this, degree of conformity computing unit 303 is set function h, compares with the demand that meets pattern by the priority level information that relative importance value computing unit 301 is provided, and determines to meet pattern.Meet pattern function U i=h (Bi/M, Ai/F, Ci/C, Di/T)=Bi/M+Ai/F+Ci/C+Di/T calculate to obtain degree of conformity.Wherein, M is the power supply capacity that meets, and F is the generating capacity that meets, and C is the electrical network bandwidth that meets, T be meet with the distance of electrical nodes to the node that generates electricity.The surplus capacity that function h need follow the generating node i during more greater than its limit value Ui big more, Ui is more little during more less than its limit value, Ui=1 when the surplus capacity of generating node i equals its limit value.In conjunction with concrete example, if the power supply capacity that M meets is 100MW, the Bi residue power supply capacity of generating node is 150MW, and the pattern that meets that then remains power supply capacity is h (Bi/M)=150MW/100MW=1.5.Be appreciated that to adopt to use the same method that can calculate generated output meets pattern h (Ai/F), that can calculate wherein certain several concern meets pattern h (Bi/M, Ai/F Ci/C), also can calculate the comprehensive pattern Ui=h (Bi/M that meets, Ai/F, Ci/C, Di/T).
Dispatching priority degree computing unit 304 is used for according to mode of priority and meets mode computation obtaining the dispatching priority degree.Particularly, can be by setting function w, the dispatching priority degree is Si=w (mode of priority meets pattern), promptly can be by the mode of priority of selecting from relative importance value selected cell 302 to meet, and calculate the pattern that meets that obtains with degree of conformity computing unit 303 and multiply each other and obtain the dispatching priority degree.In conjunction with concrete example, mode of priority is generating capacity relative importance value Fi, i.e. generating capacity relative importance value Fi=f (Ai)=Ai/Aall; Meeting pattern is generating capacity Ai, and promptly generating capacity meets pattern Ui=h (Ai/F); Dispatching priority degree function be Si=w (Fi, Ui), i.e. Si=Fi*Ui.Wherein Fi=Ai/Aall is 0.8, and Ui=Ai/F is 1.1, and then Si is 0.88.Be appreciated that mode of priority includes but not limited to a kind of mode of priority, in like manner meet pattern and also can be multiplely that its computational methods meet the multiplication apportionment ratio.
Simultaneously, all electric energy that provide from the generating node all are through electricity consumption node configuration module 200 preference pattern of presetting and the screening that meets pattern, it is real for electric energy stable, high-quality is provided with electrical nodes, and be the most satisfactory electric energy, further improved the utilance and the stability of electric energy.
In a second embodiment, in conjunction with the accompanying drawings 3, with the difference of first embodiment be that this intelligent grid dispatching patcher also comprises the support module 600 that is connected with scheduler module 500.Particularly, scheduler module 500 is used to also judge whether the generating node can reach the mode of priority and the requirement that meets pattern with electrical nodes; , then support module 600 is not used to dispatch the trunk electrical network to using electrical nodes; Be that then scheduler module 500 is directly dispatched with the generating node of electrical nodes to the intelligent grid.In the present embodiment, scheduler module 500 merges intelligent grid and backbone network, promptly the generating node at intelligent grid can't satisfy with under the situation of electrical nodes, extremely uses electrical nodes by the electric energy of scheduling backbone network, makes with normal, the stable operation of electrical nodes.Scheduler module 500 provides powerful support for for the operation with electrical nodes provides, and makes intelligent grid that stronger " strong property " be arranged.
In the 3rd embodiment, in conjunction with the accompanying drawings 4, with the difference of first embodiment be that this intelligent grid dispatching patcher also comprises the feedback module 700 that is connected with scheduler module 500, processing module 300.Particularly, this scheduler module 500 is used to also judge whether the generating node can reach the mode of priority and the requirement that meets pattern with electrical nodes; Not, then feedback module 700 orders about the dispatching priority degree that processing module 300 recomputates the generating node, searching meets the generating node that scheduling requires, and a best generating node electric energy offered use electrical nodes, makes intelligent grid have stronger " intelligent and optimization property ".
In the 4th embodiment, be that processing module 300 also can loop cycle (for example every 1 hour or 10 hours etc.) calculates the dispatching priority degree of generating node, and a best generating node electric energy offered uses electrical nodes with the difference of the 3rd embodiment.
In the 5th embodiment, with the difference of first embodiment be that this intelligent grid dispatching patcher also comprises the support module 600 that is connected with scheduler module 500, the feedback module 700 that is connected with scheduler module 500, processing module 300.Particularly, scheduler module 500 is used to also judge whether the generating node can reach the mode of priority and the requirement that meets pattern with electrical nodes., then support module 600 is not used to dispatch the trunk electrical network to using electrical nodes; And the processing module 300 of ordering about feedback module 700 recomputates the dispatching priority degree of generating node, seeks to meet the generating node that scheduling requires, and a best generating node electric energy offered uses electrical nodes.Be that then scheduler module 500 is directly dispatched with the generating node of electrical nodes to the intelligent grid.By the cooperation of support module 600 and feedback module 700, the generating node in intelligent grid can't reach the requirement with electrical nodes, and support module 600 scheduling backbone networks are for providing lasting, stable electric energy with electrical nodes.Simultaneously, feedback module 700 orders about the dispatching priority degree that processing module 300 recomputates the generating node again, need look for meeting the generating node that scheduling requires, " intelligent " and " optimization " of improving intelligent grid.
Based on above-mentioned intelligent grid dispatching patcher, also provide a kind of intelligent grid dispatching method.In first embodiment, in conjunction with the accompanying drawings 5, concrete steps are as follows:
Step S100, the generating nodal information of generating node in the collection intelligent grid.Particularly, transducer, detector or other signal collecting device collection generating nodal information by being arranged on each generating node in the intelligent grid.Wherein, each generating node comprises wind energy, solar energy, biological energy source, water energy, biogas energy, geothermal energy or tidal energy equal energy source generating node.The generating nodal information of being gathered comprises the surplus capacity of the node that generates electricity, particularly, surplus capacity is remaining generating capacity (can be generated output etc.), remaining the power supply capacity size of internal memory/storage of electrical energy (can be etc.), remaining electrical network the bandwidth number of degrees of per second transmission (can be etc.) and distance information such as (the generating node are to the distance with electrical nodes).
Step S200, default mode of priority with electrical nodes with meet pattern.Particularly, according to the demand of electrical nodes self, default mode of priority with electrical nodes with meet pattern.This usefulness electrical nodes can be domestic consumer's the electrical nodes of using, the industrial electrical nodes of using, commercial operation with electrical nodes or charging station with electrical nodes etc.
Wherein, mode of priority, according to the demand of electrical nodes, can preset the generating capacity of generating node high preferential, power supply capacity strong precedence, the fast preferential or short priority scheduling of distance of electrical network bandwidth.Be appreciated that also and can set mode of priority according to occurrence or value range, for example generating capacity is that the 100MW megawatt is preferential, and power supply capacity is that 10～20MW megawatt is preferential, and the electrical network bandwidth is that 100 degree per seconds are preferential, and distance is a priority scheduling within 5～7KM kilometer.Meet pattern,, can preset that the generating node is proposed to meet the requirement of using electrical nodes according to requirement with electrical nodes.For example providing can not be less than M (10MW megawatt) with the remaining power supply capacity of electrical nodes, providing can not be less than F (100MW megawatt) with the available generating capacity of electrical nodes, provide the electrical network bandwidth that can use with electrical nodes can not be less than C (100 degree per second), the distance that provides be not more than T (5 kilometers).
Step S300 is according to generating nodal information, mode of priority with meet mode computation obtain the generating electricity dispatching priority degree of node.Particularly, surplus capacity according to each generating node, in conjunction with concrete mode of priority (for example generating capacity preferentially still power supply capacity priority scheduling) with meet pattern (for example available generating capacity is not less than 100MW or is not more than 5KM etc. with electrical nodes to the distance of the node that generates electricity) and, calculate the dispatching priority degree of the node that generates electricity by comparison.
Further, in conjunction with the accompanying drawings 6, step S300 comprises the steps:
Step S310: the priority level information that calculates the generating node according to the generating nodal information.Particularly, according to the generating nodal information that gets access to, function f is calculated and the priority level information of the node i that obtains generating electricity by setting.
Priority level information comprises comprehensive relative importance value Ei, generating capacity relative importance value Fi, power supply capacity relative importance value Gi, electrical network bandwidth relative importance value Hi, stablizes relative importance value Ii etc.The generating node of function f correspondence is i, and comprehensive relative importance value Ei=f (Ai, Bi, Ci, Di), generating capacity relative importance value Fi=f (Ai), power supply capacity relative importance value Gi=f (Bi), electrical network bandwidth relative importance value Hi=f (Ci), stablize relative importance value Ii=f (Di).Particularly,
Comprehensive relative importance value: Ei=Ai/Aall+Bi/Ball+Ci/Call-Di/Dall;
Generating capacity relative importance value: Fi=Ai/Aall;
Power supply capacity relative importance value: Gi=Bi/Ball;
Electrical network bandwidth relative importance value: Hi=Ci/Call;
Stablize relative importance value: Ii=1-(Di/Dall);
Wherein, Aall is the total generating capacity of generating node i, and Ball is the total capability for load of generating node i, and Call is total electrical network bandwidth of generating node i, Dall be the patient rise of generating node i institute from; Ai is remaining generating capacity, and Bi is remaining power supply capacity, and Ci is remaining electrical network bandwidth, and Di is with the distance of electrical nodes to the node that generates electricity.
Function f need follow that the big more then Ei of Ai is big more, and Bi is big more, and then Ei is big more, and Ci is big more, and then Ei is big more, the more little principle of the big more then Ei of Di.In conjunction with concrete example, if the total generating capacity Aall of generating node i is 500MW, remaining generating capacity Ai is 300MW, and then generating capacity relative importance value Fi=f (Ai)=Ai/Aall=300MW/500MW is 0.6.Be appreciated that comprehensive relative importance value Ei, generating capacity relative importance value Fi, power supply capacity relative importance value Gi, electrical network bandwidth relative importance value Hi and stablize relative importance value Ii and can calculate concrete numerical value by identical numerical procedure.
Step S320:, determine mode of priority according to the information of selecting in the priority level information to be complementary with mode of priority.Particularly, in conjunction with the default mode of priority of priority level information, this mode of priority can be that generating capacity is preferential, power supply capacity preferential or electrical network bandwidth priority scheduling.In conjunction with concrete example, the mode of priority of selection is that generating capacity is preferential, then obtains the generating capacity priority level information from priority level information.
Step S330: compare with the demand that meets pattern according to priority level information, determine to meet pattern.Particularly, meet that the demand of pattern is predeterminable to be: with the Capability Requirement of electrical nodes to the generating node, for example provide the available remaining power supply capacity of this usefulness electrical nodes can not be less than M (10MW megawatt), provide the available generating capacity of this usefulness electrical nodes can not be less than F (100MW megawatt), provide the available electrical network bandwidth of this usefulness electrical nodes can not be, provide this to be not more than T (5 kilometers) with electrical nodes to the distance of the node that generates electricity less than C (100 degree per second).
At this, set function h, compare with the demand that meets pattern by priority level information, determine to meet pattern.Meet pattern function U i=h (Bi/M, Ai/F, Ci/C, Di/T)=Bi/M+Ai/F+Ci/C+Di/T calculate to obtain degree of conformity.Wherein, M is the power supply capacity that meets, and F is the generating capacity that meets, and C is the electrical network bandwidth that meets, T be meet with the distance of electrical nodes to the node that generates electricity.The surplus capacity that function h need follow the generating node i during more greater than its limit value Ui big more, Ui is more little during more less than its limit value, Ui=1 when the surplus capacity of generating node i equals its limit value.In conjunction with concrete example, if the power supply capacity that M meets is 100MW, the Bi residue power supply capacity of generating node is 150MW, and the pattern that meets that then remains power supply capacity is h (Bi/M)=150MW/100MW=1.5.Be appreciated that to adopt to use the same method that can calculate generated output meets pattern h (Ai/F), that can calculate wherein certain several concern meets pattern h (Bi/M, Ai/F Ci/C), also can calculate the comprehensive pattern Ui=h (Bi/M that meets, Ai/F, Ci/C, Di/T).
Step S340: according to mode of priority with meet mode computation and obtain the dispatching priority degree.Particularly, can be by setting function w, the dispatching priority degree is Si=w (mode of priority meets pattern), promptly can by mode of priority with meet pattern and multiply each other and obtain the dispatching priority degree.In conjunction with concrete example, mode of priority is generating capacity relative importance value Fi, i.e. generating capacity relative importance value Fi=f (Ai)=Ai/Aall; Meeting pattern is generating capacity Ai, and promptly generating capacity meets pattern Ui=h (Ai/F); Dispatching priority degree function be Si=w (Fi, Ui), i.e. Si=Fi*Ui.Wherein Fi=Ai/Aall is 0.8, and Ui=Ai/F is 1.1, and then Si is 0.88.Be appreciated that mode of priority includes but not limited to a kind of mode of priority, in like manner meet pattern and also can be multiplely that its computational methods meet the multiplication apportionment ratio.
Step S400 generates the generating node listing according to the dispatching priority degree.Particularly, the generating node of selection scheduling relative importance value maximum, and the generating node address of the node correspondence of will generating electricity adds in the generating node listing.Further, can also be that unit calls to generating set or its generator of generating node, the generating set address of the node correspondence of then will generating electricity and/or its generator address add in the generating node listing in the lump, the generating set address here can be generating set numbering or generator name, the generator address also can the generator numbering etc., and the generating set or the generator that call accurately in the generating node can utilize electric energy more efficiently.
Further, in conjunction with the accompanying drawings 7, step 400 comprises the steps:
Step 410: empty the generating node listing.Particularly, the information of the node listing that generates electricity before emptying is convenient to add again the generating nodal information.
Step 420: the generating node of selection scheduling relative importance value adds the generating node listing.Particularly, definite generating nodal information is added the generating node listing, for example the peaked generating node of dispatching priority degree is added in the generating node listing, or medium the value adding generating node listing of dispatching priority degree in some scopes.
Step S500 dispatches with electrical nodes to the node that generates electricity according to the generating node listing.Particularly, according to the generating node listing message scheduling with electrical nodes to the node that generates electricity, electric energy that generating node in the intelligent grid provided is transferred in mode the most efficiently use electrical nodes, saved to concentrate afterwards earlier in traditional electrical network and distributed electric energy and the electric energy of the loss of having to, save lot of energy, improved the utilance of electric energy.
Simultaneously, all are through preference pattern and meet the screening of pattern from electric energy of providing of generating node, and are real for electric energy stable, high-quality is provided with electrical nodes, and are the most satisfactory electric energy, have further improved the utilance and the stability of electric energy.
In a second embodiment, in conjunction with the accompanying drawings 8, be with first embodiment difference of intelligent grid dispatching method, also comprise after the step S400:
Step S400A: judging whether the generating node can reach the mode of priority and the requirement that meets pattern with electrical nodes, is then to enter step S500; , then do not return step S300.Recomputate the surplus capacity of generating node, seek and to meet the generating node that scheduling requires, and a best generating node electric energy offered use electrical nodes.
In the 3rd embodiment, in conjunction with the accompanying drawings 9, be with first embodiment difference of intelligent grid dispatching method, also comprise after the step S400:
S400B: judging whether the generating node can reach the mode of priority and the requirement that meets pattern with electrical nodes, is then to enter step S500; , then do not enter step S600: scheduling trunk electrical network is to using electrical nodes.Intelligent grid and backbone network are merged, can't satisfy with under the situation of electrical nodes at the generating node of intelligent grid, backbone network can be accomplished strong replenishing, and makes with normal, the stable operation of electrical nodes.
In the 4th embodiment, be with first embodiment difference of intelligent grid dispatching method, step S300 also further loop cycle (for example every 1 hour or 10 hours etc.) calculate the dispatching priority degree of generating node, and a best generating node electric energy offered use electrical nodes.
The above embodiment has only expressed several execution mode of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to claim of the present invention.Should be pointed out that for the person of ordinary skill of the art without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection range of patent of the present invention should be as the criterion with claims.
Claims (11)
1. an intelligent grid dispatching patcher is characterized in that, comprising:
Generating nodal information acquisition module is used for gathering the generating nodal information of intelligent grid generating node;
Electricity consumption node configuration module is used for default mode of priority with electrical nodes and meets pattern;
Processing module is used for according to described generating nodal information, mode of priority and meets mode computation obtain the generating electricity dispatching priority degree of node;
The tabulation generation module is used for generating the generating node listing according to described dispatching priority degree; And
Scheduler module is used for dispatching with electrical nodes to the node that generates electricity according to described generating node listing.
2. intelligent grid dispatching patcher according to claim 1 is characterized in that, described processing module comprises:
The relative importance value computing unit, be used for according to described generating nodal information calculate the generating node priority level information;
The relative importance value selected cell is used for determining mode of priority according to the information that described priority level information is selected and described mode of priority is complementary;
The degree of conformity computing unit is used for comparing with the described demand that meets pattern according to described priority level information, determines to meet pattern; And
Dispatching priority degree computing unit is used for obtaining the dispatching priority degree according to described mode of priority and the described mode computation that meets.
3. intelligent grid dispatching patcher according to claim 1 and 2 is characterized in that, also comprises the support module that is connected with described scheduler module,
Described scheduler module is used to also judge whether the generating node can reach the mode of priority and the requirement that meets pattern with electrical nodes; Not, then described support module is used to dispatch the trunk electrical network to using electrical nodes.
4. intelligent grid dispatching patcher according to claim 1 and 2 is characterized in that, also comprises the feedback module that is connected with described scheduler module, processing module,
Described scheduler module is used to also judge whether the generating node can reach the mode of priority and the requirement that meets pattern with electrical nodes; , then described feedback module does not order about the dispatching priority degree that described processing module recomputates the generating node.
5. intelligent grid dispatching patcher according to claim 4 is characterized in that, described processing module also is used for the dispatching priority degree that loop cycle is calculated the generating node.
6. intelligent grid dispatching method comprises:
Gather the generating nodal information of generating node in the intelligent grid;
Default mode of priority with electrical nodes with meet pattern;
According to described generating nodal information, mode of priority with meet mode computation obtain the generating electricity dispatching priority degree of node;
Generate the generating node listing according to described dispatching priority degree;
Dispatch with electrical nodes to the node that generates electricity according to described generating node listing.
7. intelligent grid dispatching method according to claim 6 is characterized in that, and is described according to described generating nodal information, mode of priority with meet mode computation obtain the generating electricity step of dispatching priority degree of node and comprise:
Calculate the priority level information of generating node according to described generating nodal information;
According to the information of selecting in the described priority level information to be complementary, determine mode of priority with described mode of priority;
Compare with the described demand that meets pattern according to described priority level information, determine to meet pattern;
Obtain the dispatching priority degree according to described mode of priority and the described mode computation that meets.
8. according to claim 6 or 7 described intelligent grid dispatching methods, it is characterized in that the step that generates the generating node listing according to described dispatching priority degree comprises the steps:
Empty the generating node listing;
Select the generating node of described dispatching priority degree to add the generating node listing.
9. intelligent grid dispatching method according to claim 8 is characterized in that, the step that generates the generating node listing according to described dispatching priority degree has the following steps afterwards:
Judge whether described generating node can reach the mode of priority and the requirement that meets pattern with electrical nodes, is, then enters according to described generating node listing and dispatches with the step of electrical nodes to the node that generates electricity; Not, then return according to described generating nodal information, mode of priority and meet mode computation obtain the generating electricity step of dispatching priority degree of node.
10. intelligent grid dispatching method according to claim 8 is characterized in that, the step that generates the generating node listing according to described dispatching priority degree has the following steps afterwards:
Judge whether described generating node can reach the mode of priority and the requirement that meets pattern with electrical nodes, is, then enters according to described generating node listing and dispatches with the step of electrical nodes to the node that generates electricity; , then do not dispatch the trunk electrical network to using electrical nodes.
11. according to claim 6 or 7 described intelligent grid dispatching methods, it is characterized in that, according to described generating nodal information, mode of priority and meet mode computation obtain generating electricity node the dispatching priority degree step also further loop cycle calculate the dispatching priority degree of generating node.
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| CN103824125A (en) * | 2014-02-15 | 2014-05-28 | 中国能源建设集团广东省电力设计研究院 | Scheduling optimal configuration method for smart grid |
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| CN109672185A (en) * | 2019-01-14 | 2019-04-23 | 中国电力科学研究院有限公司 | A kind of distribution network voltage control method and system |
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| CN103824125A (en) * | 2014-02-15 | 2014-05-28 | 中国能源建设集团广东省电力设计研究院 | Scheduling optimal configuration method for smart grid |
| CN105677476A (en) * | 2015-12-29 | 2016-06-15 | 安徽海兴泰瑞智能科技有限公司 | Computer network energy auxiliary scheduling method |
| CN109672185A (en) * | 2019-01-14 | 2019-04-23 | 中国电力科学研究院有限公司 | A kind of distribution network voltage control method and system |
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