CN108648024A - A kind of power distribution network distributed generation resource deploying node computational methods - Google Patents

A kind of power distribution network distributed generation resource deploying node computational methods Download PDF

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CN108648024A
CN108648024A CN201810588612.5A CN201810588612A CN108648024A CN 108648024 A CN108648024 A CN 108648024A CN 201810588612 A CN201810588612 A CN 201810588612A CN 108648024 A CN108648024 A CN 108648024A
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dlmp
network loss
discharge
distribution network
active
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陈星莺
郁清云
李瑶虹
许道强
刘玙
谢俊
余昆
甘磊
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State Grid Corp of China SGCC
State Grid Jiangsu Electric Power Co Ltd
Hohai University HHU
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State Grid Corp of China SGCC
State Grid Jiangsu Electric Power Co Ltd
Hohai University HHU
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0283Price estimation or determination
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381Dispersed generators
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70Smart grids as climate change mitigation technology in the energy generation sector
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P80/00Climate change mitigation technologies for sector-wide applications
    • Y02P80/10Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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Abstract

The invention discloses a kind of power distribution network distributed generation resource deploying node computational methods, using in cooperative game for handle unlimited more player's Game with Coalitions method --- Aumann Shapley values methods share network loss and polluted gas discharge capacity, propose a kind of computational methods being used to calculate DLMP values in power distribution network based on this.Fair determining each DG of the invention is contributed made by network loss and disposal of pollutants reducing, positive economic incentives signal can be provided for it, distribution company can adjust weight factor according to the priority of network loss and discharge capacity simultaneously, have the different types of DG of the excitation stressed to reduce network loss or discharge capacity.

Description

A kind of power distribution network distributed generation resource deploying node computational methods
Technical field
The present invention is a kind of power distribution network distributed generation resource deploying node computational methods, belongs to system for distribution network of power control Field processed.
Background technology
Distributed generation resource (DG) accesses power distribution network, and the active and idle of injection will change distribution power flow size and stream To being affected to distribution network voltage quality, network loss and reliability, power distribution network is changed into active net from traditional passive network Network, feature is more intended to power transmission network, therefore some operation reserves for being suitable for power transmission network can also apply to power distribution network. Under Power Market, in order to safeguard the safe and reliable operation of power distribution network, distribution company can be by way of electricity price excitation pair The output of grid-connected DG is managed and controls indirectly, can introduce the maximally efficient Price Mechanisms of current power transmission net thus --- section Point Marginal Pricing (LMP).In recent years, domestic and foreign scholars have carried out systematic research to DLMP (power distribution network deploying node), But all zero sale surplus is also cannot achieve without solving the problems, such as to increase the calculating multiple shot array brought with the grid-connected numbers of DG.
Invention content
Goal of the invention:The present invention proposes a kind of power distribution network distributed generation resource deploying node computational methods, in multiple DG In the case of accessing power distribution network, distribution network loss and discharge amount of pollution are reduced.
Technical solution:The technical solution adopted by the present invention is a kind of power distribution network distributed generation resource deploying node calculating side Method includes the following steps:
1) DLMP at all DG nodes is set to united market cleaing price ρa
2) according to the cost function of DGObtain the active power output P of each DGi
3) the distribution network loss P after calculating DG is grid-connectedlossWith discharge amount of pollution E;
4) network loss of each DG is calculated based on A-S value methods and discharge reduces the amount of sharing;
5) the active and idle DLMP correction amounts of DG nodes are calculated;
6) original work(of DG nodes and idle DLMP values are modified;
7) judge whether to meet end condition, if satisfied, then iteration terminates;It repeats to repair if not satisfied, then returning to step 2) The active and idle DLMP of just each DG.
By the cost function of each DG in the step 2)Obtain active power output PiCalculation formula it is as follows:
Wherein,Indicate DG when+1 iteration of jthiActive power output, in (1) formula and (2) formula, ai,bi,ciRespectively DGiCost function parameters,For DGiThe DLMP values obtained in iteration j.
Distribution network loss P described in the step 3)lossIt is calculated as follows with discharge amount of pollution E:
In formula (3) and formula (4), NbrFor circuitry number, NDGIt is total for DG,And EFgridRespectively DGiWith the pollution of power plant Emission factor (kg/kW).
DG in establishing power grid in the step 4)iGenerated output at a time isThe then DGiCaused by network loss/ Discharging decrement isTo DGiIt contributes and carries out limitless defense right, if DG at this timeiIt contributes and increases a dimensionless Δ bi(Δbi → 0), then Δ biTo reduce network loss/discharge capacity contributrion margin be:
Work as DGiGenerated output biWhen increasing to its maximum value from 0, DG can be obtainediNetwork loss/discharge reduce the amount of sharing ψi
In formula (6), λ is integration variable, biFor DGiGenerated output, fk() be the power distribution network under given λ value network loss/ Discharge decrement.
The active and idle DLMP correction amounts of DG nodes are in the step 5):
In above formula,WithRespectively DGiActive and idle DLMP correction amounts;With Respectively DGiActive DLMP network loss and discharge reduce correct component, respective weights are respectively ω1And ω2, and meet ω1+ ω2=1;WithRespectively DGiNetwork loss and discharge in iteration j reduce the amount of sharing;And EjRespectively access Network loss and discharge capacity after DG when iteration j,And EbaseThe network loss and discharge capacity when DG are not accessed respectively.
As follows to DG in the step 6)iOriginal work(and idle DLMP values be modified:
In above formula, 1% of Reactive Power Price less than active electricity price at balance nodes can be neglected, therefore ρr≈0。
Advantageous effect:The present invention shares network loss and disposal of pollutants decrement by A-S value methods, fair can determine each DG pairs It reduces and is contributed made by network loss and disposal of pollutants, positive economic incentives signal can be provided for it;Meanwhile distribution network loss and dirt It can be that distribution company brings extra returns, A-S values method to share these extra returns to each DG, i.e., in fact completely that dye discharge capacity, which is reduced, Existing pool schemes zero sell surplus;Due to the incentive action of electricity price, each DG will generate electricity out to it for additional income as far as possible Power is adjusted, and is conducive to management and control of the distribution company to DG;Distribution company can be according to the preferential of network loss and discharge capacity Grade adjustment weight factor, has the different types of DG of the excitation stressed to reduce network loss or discharge capacity.
Description of the drawings
Fig. 1 is the work flow diagram of the present invention;
Fig. 2 is 33 Node power distribution system topology diagrams of IEEE;
Fig. 3 is 69 Node power distribution system topology diagrams of IEEE;
Fig. 4 is conventional method and the present invention under the different market clearing prices solved based on 69 Node power distribution systems of IEEE The obtained network loss result figure of method;
Fig. 5 be based on the market clearing price that 69 Node power distribution systems of IEEE solve be respectively ρ=23 ($/MW) and ρ= When 26 ($/MW), conventional method and the active DLMP result figures at the obtained DG nodes of the method for the present invention;
Fig. 6 is conventional method and the present invention under the different market clearing prices solved based on 69 Node power distribution systems of IEEE The obtained sale surplus of method.
Specific implementation mode
In the following with reference to the drawings and specific embodiments, the present invention is furture elucidated, it should be understood that these embodiments are merely to illustrate It the present invention rather than limits the scope of the invention, after having read the present invention, those skilled in the art are to of the invention each The modification of kind equivalent form falls within the application range as defined in the appended claims.
As shown in Figure 1, the present invention includes the following steps:
1) DLMP being arranged at all DG nodes is united market cleaing price ρa(electricity price at balance nodes), i.e., (πa)ia, (πa)iIt indicates the active DLMP values at node i, obtains the initial operating state of all DG;
2) the active power output P of each DG is obtained according to the cost function of DGi, calculation formula such as formula (12):
Pi j+1Indicate DG when+1 iteration of jthiActive power output, in (11) formula and (12) formula, ai,bi,ciRespectively DGi's Cost function parameters,For DGiThe DLMP values obtained in iteration j;
3) the distribution network loss P after calculating DG is grid-connectedlossWith discharge amount of pollution E:
In formula (13) and formula (14), NbrFor circuitry number, NDGIt is total for DG,And EFgridRespectively DGiWith power plant The disposal of pollutants factor (kg/kW);
4) network loss of each DG is calculated based on A-S value methods and discharge reduces the amount of sharing, and share result with Shapley values It is compared:
Shapley value methods:Network loss/discharge that each DG in power distribution network is calculated based on Shapley value methods reduces the amount of sharing, meter It is as follows to calculate formula:
In formula (15) and formula (16),Expression is shared to i-th of distributed generation resource DGiNetwork loss (l)/discharge (e) reduce Amount, S refer to comprising multiple DGiAlliance, | S | refer to the DG quantity in alliance S, n, which refers to, participates in distribution network loss and discharge decrement point The DG sums at booth, [v (S)-v (S- { i })] is calculated due to i-th of distributed generation resource DGiThe income that the S that coalizes is brought to alliance Value added, the i.e. marginal benefit of alliance S, W (S) represent a weights, indicate i-th of distributed generation resource DGiIt should assign to The share of alliance's S marginal benefits, n!Indicate that the arrangement of order is added in the be possible to DG of Major Leagues (including all DG).
A-S values method (Aumann-Shapley values method):
The basic thought of A-S value methods is that each player is divided into unlimited number of player, then unlimited to each Small player calculates its amount of sharing using Shapley value methods.Its essence is seek each player to each cooperative alliances contributrion margin Average value, therefore the influence that secondary ordered pair that coalizes of each player shares result can be ignored, has economic consistency peaceful Etc. property.It can realize fair and reasonable share.
It is seen on surface, since alliance's number greatly increases, the calculation amount of A-S value methods will be far longer than Shapley value methods.But Be, A-S values method by carrying out limitless defense right to each player, therefore share order that result and each player coalize without It closes, the amount of sharing can be calculated by analytic method.
Assuming that DG in power distribution networkiGenerated output at a time isThe then DGiCaused by network loss/discharge decrement beTo DGiIt contributes and carries out limitless defense right, if DG at this timeiIt contributes and increases a dimensionless Δ bi(Δbi→ 0), then Δ bi To reduce network loss/discharge capacity contributrion margin be:
Work as DGiGenerated output biWhen increasing to its maximum value from 0, DG can be obtainediNetwork loss/discharge reduce the amount of sharing ψi
In formula (18), λ is integration variable, biFor DGiGenerated output, fk() is the network loss of the power distribution network under given λ value With discharge decrement.
Due to distribution network loss and discharge capacity the complex nature of the problem, it is difficult to share network loss/discharge capacity and be expressed as specification Aumann-Shapley forms.We are using A-S value methods are simplified thus, by DGiLimited number of time segmentation is carried out, S alliances are calculated separately In last access system sub-fraction DGiThe network loss and discharge decrement, summation brought to system can be obtained DGiPoint Spread out result.
5) the active and idle DLMP correction amounts of DG nodes are calculated.Active DLMP correction amounts are made of two components:Network loss It reduces component and discharge reduces component.
In formula (19), formula (20) and formula (21),WithRespectively DGiActive and idle DLMP correct Amount;WithRespectively DGiActive DLMP network loss and discharge reduce correct component, respective weights are respectively ω1 And ω2, and meet ω12=1;WithRespectively DGiNetwork loss and discharge in iteration j reduce the amount of sharing;And EjNetwork loss and discharge capacity after respectively access DG when iteration j,And EbaseNet when DG is not accessed respectively Damage and discharge capacity.
6) to DGiOriginal work(and idle DLMP values be modified:
In formula (22), 1% of Reactive Power Price less than active electricity price at balance nodes can be neglected, therefore ρr≈0。
7) judge whether to meet end condition, if satisfied, then iteration terminates;It repeats to repair if not satisfied, then returning to step 2) The active and idle DLMP of just each DG:
Wherein, ε is minimum.If meet formula (23) even if if indicate at this time increase DGiActive power output, can not also reduce Network loss and discharge amount of pollution lose the effect of electricity price excitation, it is possible to terminate iteration.
The income of distribution company can be expressed as:
In formula (24), benefitjIndicate that the interests that distribution company obtains when iteration j, Demand indicate distribution system Total load amount, γeFor unit disposal of pollutants cost (/kg), Pi jWithActive and nothing when iteration j is indicated respectively Work(is contributed, πcarUser DLMP, active DLMP and idle DLMP are corresponded to respectively.Determine each DG's when using unified electricity price method When active and idle DLMP, the centre two of formula (24) is 0, i.e.,:
In formula (25), γeFor unit disposal of pollutants cost (/kg).
Formula (24) and formula (25) subtract each other the extra returns that can be obtained distribution company, that is, sell surplus and be:
In formula (27) and formula (28), Δ benefitjIndicate the extra returns of distribution company when iteration j, MSlAnd MSe Respectively because network loss and discharge reduce the extra returns brought to power distribution company.
The present invention is separately verified by two embodiments is shared having compared to Shapley value methods using A-S value methods The feasibility and reasonability of effect property and simplicity and DLMP computation models.
Example 1
It is IEEE33 node power distribution networks as shown in Fig. 2, which contains 33 nodes and 3 branch lines.Exist respectively DG is accessed at node 8,12 and 23, the emission factor of DG waiting is shown in Table 1, and power factor is lag 0.9.
Table 1
Shapley values are respectively adopted to divide the network loss of IEEE-33 node systems and discharge decrement with A-S values method Booth.Assuming that the active power output of all DG is 500kW, three DG can be considered three players, be denoted as N={ 1,2,3 }, all Player gathers and each nonvoid subset forms an alliance, and the network loss and discharge decrement of each alliance are shown in Table 2.
Table 2
The network loss of three DG is calculated by Shapley values and discharge reduces the amount of sharing, and is shared and be the results are shown in Table 3.
When calculating the amount of sharing using A-S value methods, due to the complexity of distribution network loss and discharge capacity Allocation, this literary grace With A-S value methods are simplified, by DGiLimited number of time segmentation is carried out, i.e., by DGiIt is divided into n fraction, then calculates separately each small portion The DG dividediWhen the last one access system DG is can be obtained with decrement, summation is discharged to the network loss that system is broughtiShare knot Fruit.Sharing for A-S value methods the results are shown in Table 3.
Table 3
Shapley values and simplify A-S value methods share result in contrast table 3:Simplify obtained three DG's of A-S value methods Network loss and discharge reduce the amount of sharing sharing result and compare error very little, therefore the calculating knot of simplification A-S value methods with Shapley values Fruit meets fair principle;But the calculation amount of Shapley value methods can in distribution network DG numbers increase and drastically increase Add (such as when DG numbers are 10, calculative alliance's number be 3 628 800), and A-S value methods introduce limitization processing with Analytic method can solve this multiple shot array problem, calculate more simple.
Example 2
It is as shown in Fig. 3 IEEE69 node power distribution networks, the DG containing three types in network, each type of DG are each Four, the power factor of all DG is lag 0.9;Power generation capacity, cost function parameters and the emission factor of each DG is shown in respectively Table 4 and table 5.
Table 4
Table 5
Network loss and the discharge reduction amount of sharing based on each DG that A-S value methods calculate, can be obtained under different market clearing prices DLMP values at DG active power outputs, DG nodes and corresponding network loss when corresponding different weight factors and discharge capacity, as a result distinguish It is shown in Table 6 and table 7.
Table 6
Table 7
Traditional DLMP computation models mainly have unified electricity price method and marginal loss method:In unified electricity price method at all nodes DLMP be united market cleaing price;DLMP at marginal loss method interior joint i is by the node to the contributrion margin of network loss It determines:
Formula (29) and (30) are respectively the active and idle DLMP values at node i, ρaFor united market cleaing price, PiWith QiActive and reactive power respectively at node i.
In order to verify the superiority that the method for the present invention compares other conventional methods, calculates and work as ω12When=0.5, Unified electricity price method under the different market prices, marginal loss method and based on the obtained system losses value of A-S value methodologies and It is active at each DG nodes that above-mentioned three kinds of methods obtain when market clearing price is respectively ρ=23 and ρ=26 ($/MW) DLMP values (marginal loss method and based on A-S values methodology all use the method for the present invention in iterative model), as a result respectively such as Shown in attached drawing 4 and attached drawing 5.
In conjunction with attached drawing 4 with attached drawing 5 it is found that comparing two kinds of conventional methods, the DLMP that the method for the present invention determines can be that each DG is carried It is encouraged for more electricity prices, therefore can greatly reduce system losses.
Attached drawing 6 is that the sale under being calculated based on the method for the present invention and two kinds of conventional methods under different market clearing prices is full of It is remaining.DG is grid-connected to reduce system losses and discharge capacity, and extra returns are brought for distribution network systems:This part is received under unified electricity price method Benefit returns distribution company all completely, and marginal loss method can only also share some to DG, therefore both conventional methods It all can not achieve zero sale surplus;The method of the present invention gives network loss and discharge decrement fair distribution to each DG by A-S values method, i.e., The extra returns of distribution network systems are shared completely to each DG, thus can realize that pool schemes zero sell surplus.
In general, it is proposed that based on being counted using the power distribution network LMP that A-S values share network loss and discharge decrement Calculation method can effectively overcome the problems, such as the multiple shot array of traditional Shapley values methodology, for accessing the distribution netting gear of more DG There is certain applicability;The DLMP computational methods can not only reduce network loss and discharge capacity simultaneously, moreover it is possible to be realized and be matched by electricity price excitation Net company is to the DG management contributed and control;Compared with conventional method, this method greatly can carry out electricity price to each DG and swash It encourages, reduces system losses and discharge capacity.
As it will be easily appreciated by one skilled in the art that the foregoing is merely preferably experimental programs of the invention, not to The limitation present invention, every all any modification, equivalent and improvement etc. done within the spirit and principles in the present invention have been wrapped Containing within protection scope of the present invention.

Claims (6)

1. a kind of power distribution network distributed generation resource deploying node computational methods, which is characterized in that include the following steps:
1) DLMP at all DG nodes is set to united market cleaing price ρa
2) according to the cost function of DGObtain the active power output P of each DGi
3) the distribution network loss P after calculating DG is grid-connectedlossWith discharge amount of pollution E;
4) network loss of each DG is calculated based on A-S value methods and discharge reduces the amount of sharing;
5) the active and idle DLMP correction amounts of DG nodes are calculated;
6) original work(of DG nodes and idle DLMP values are modified;
7) judge whether to meet end condition, if satisfied, then iteration terminates;It repeats to correct respectively if not satisfied, then returning to step 2) The active and idle DLMP of DG.
2. power distribution network distributed generation resource deploying node computational methods according to claim 1, which is characterized in that described By the cost function of each DG in step 2)Obtain active power output PiCalculation formula it is as follows:
Pi j+1Indicate DG when+1 iteration of jthiActive power output, in (1) formula and (2) formula, ai,bi,ciRespectively DGiCost letter Number parameter,For DGiThe DLMP values obtained in iteration j.
3. power distribution network distributed generation resource deploying node computational methods according to claim 1, which is characterized in that described Distribution network loss P described in step 3)lossIt is calculated as follows with discharge amount of pollution E:
In formula (3) and formula (4), NbrFor circuitry number, NDGIt is total for DG,And EFgridRespectively DGiWith the disposal of pollutants of power plant The factor (kg/kW).
4. power distribution network distributed generation resource deploying node computational methods according to claim 1, which is characterized in that described DG in establishing power grid in step 4)iGenerated output at a time isThe then DGiCaused by network loss/discharge decrement beTo DGiIt contributes and carries out limitless defense right, if DG at this timeiIt contributes and increases a dimensionless Δ bi(Δbi→ 0), then Δ bi To reduce network loss/discharge capacity contributrion margin be:
Work as DGiGenerated output biWhen increasing to its maximum value from 0, DG can be obtainediNetwork loss/discharge reduce the amount of sharing ψi
In formula (6), λ is integration variable, biFor DGiGenerated output, fk() is network loss/discharge of the power distribution network under given λ value Decrement.
5. power distribution network distributed generation resource deploying node computational methods according to claim 1, which is characterized in that described The active and idle DLMP correction amounts of DG nodes are in step 5):
In above formula,WithRespectively DGiActive and idle DLMP correction amounts;WithRespectively For DGiActive DLMP network loss and discharge reduce correct component, respective weights are respectively ω1And ω2, and meet ω12= 1;WithRespectively DGiNetwork loss and discharge in iteration j reduce the amount of sharing;And EjAfter respectively accessing DG Network loss when iteration j and discharge capacity,And EbaseThe network loss and discharge capacity when DG are not accessed respectively.
6. power distribution network distributed generation resource deploying node computational methods according to claim 1, which is characterized in that described As follows to DG in step 6)iOriginal work(and idle DLMP values be modified:
In above formula, 1% of Reactive Power Price less than active electricity price at balance nodes can be neglected, therefore ρr≈0。
CN201810588612.5A 2018-06-08 2018-06-08 A kind of power distribution network distributed generation resource deploying node computational methods Pending CN108648024A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109886836A (en) * 2019-03-01 2019-06-14 西安交通大学 A kind of dynamic partition Prices Calculation based on partition clustering analysis
CN111416394A (en) * 2020-03-16 2020-07-14 国网河北省电力有限公司电力科学研究院 AC/DC flexible power distribution network coordinated optimization scheduling method considering blocking management
CN116073377A (en) * 2023-03-06 2023-05-05 国网浙江省电力有限公司宁波供电公司 Main and distribution network interaction coordination method and system based on bidirectional regulation

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109886836A (en) * 2019-03-01 2019-06-14 西安交通大学 A kind of dynamic partition Prices Calculation based on partition clustering analysis
CN109886836B (en) * 2019-03-01 2021-01-19 西安交通大学 Dynamic partition electricity price calculation method based on partition clustering analysis
CN111416394A (en) * 2020-03-16 2020-07-14 国网河北省电力有限公司电力科学研究院 AC/DC flexible power distribution network coordinated optimization scheduling method considering blocking management
CN116073377A (en) * 2023-03-06 2023-05-05 国网浙江省电力有限公司宁波供电公司 Main and distribution network interaction coordination method and system based on bidirectional regulation

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