CN108667057A - One kind accessing power distribution network multiple target electric energy administering method for high power density distributed photovoltaic - Google Patents
One kind accessing power distribution network multiple target electric energy administering method for high power density distributed photovoltaic 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
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
- Y02E10/56—Power conversion systems, e.g. maximum power point trackers
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E70/00—Other energy conversion or management systems reducing GHG emissions
- Y02E70/30—Systems combining energy storage with energy generation of non-fossil origin
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Abstract
The present invention discloses one kind and accessing power distribution network multiple target electric energy administering method for high power density distributed photovoltaic, includes the following steps：Step 1, it configures accumulator in power distribution network corresponding position and ultracapacitor builds composite energy storage system；Step 2, constraints is formulated to composite energy storage system；Step 3, power quality controlling index is carried out to composite energy storage system using node voltage deviation and current total harmonic distortion rate；Step 4, configuration evaluation index is carried out to the composite energy storage system after power quality controlling, this method can improve because of voltage out-of-limit and harmonic pollution power quality problem caused by high power density distributed photovoltaic access power distribution network.
Description
Technical field
The present invention relates to the power quality controlling schemes of power distribution network, more particularly to a kind of to be directed to high power density distribution light
The electric energy administering method of caused voltage out-of-limit and harmonic pollution problems after volt access power distribution network.
Background technology
With the exhaustion of fossil energy and the trend of energy-saving and emission-reduction, distributed generation technology is widely used.Its
Middle distributed photovoltaic power generation is since its is resourceful, device is reliable and has not been obtained universal pass by the characteristics of constraint based on sites
Note.As high power density distributed photovoltaic accesses power distribution network, since its fluctuation and intermittent feature and power electronics fill
The application set leads to occur serious quality of voltage problem in power distribution network.High power density distributed photovoltaic access power distribution network draws
The power quality problem risen includes mainly voltage out-of-limit and harmonic pollution problems.When certain node access distributed photovoltaic is defeated in system
When node itself digestion capability is crossed in excess of export, it is easy to happen the out-of-limit phenomenon of node voltage.Since distributed generation resource usually passes through electricity
Power electronic equipment accesses power distribution network, will will produce harmonic wave when realizing energy conversion, and influence load normal operation.Currently, passing through
Energy storage is configured in respective nodes, the target for improving power quality can be reached.
In the implementation of the present invention, following shortcoming and defect exists in the prior art in inventor：
The single energy storage device used in traditional power quality treatment method, such as accumulator, although power grid pair can be met
The requirement of energy density, but dynamic response capability is poor, instantaneous power dynamic support scarce capacity.Meanwhile the configuration place of energy storage
Do not optimized effectively with capacity, caused voltage out-of-limit is harmonious after causing high power density distributed photovoltaic to access power distribution network
Wave pollution problem cannot be administered effectively.
Invention content
It is an object of the invention to overcome defect existing for above-mentioned background technology, provide a kind of compound in respective nodes configuration
The method that energy storage device improves distribution network electric energy quality, this method can improve because the access of high power density distributed photovoltaic is matched
The power quality problems such as voltage out-of-limit caused by power grid and harmonic pollution.
In order to solve technical problem, the technical solution adopted by the present invention:
One kind accessing power distribution network multiple target electric energy administering method for high power density distributed photovoltaic, including walks as follows
Suddenly：
Step 1, it configures accumulator in power distribution network corresponding position and ultracapacitor builds composite energy storage system；
Step 2, constraints is formulated to composite energy storage system；
Step 3, it is commented as the electric energy improvement of composite energy storage system using node voltage deviation and current total harmonic distortion rate
Valence index；
Step 4, composite energy storage system configuration metrics evaluation is carried out to the power distribution network after power quality controlling.
Composite energy storage system constraints are formulated in 2 in the step is carried out using following steps：
Step 1, node voltage limits
Each node voltage should be maintained within a certain range in system, i.e.,：
Vmin≤Vi≤Vmax (1)
Wherein ViFor i-th of node voltage, VminAnd VmaxFor system voltage lower limit and the system voltage upper limit, by system to electricity
Out-of-limit requirement is pressed to determine.
Step 2, power-balance is formulated
Power-balance should be kept in system at any time, i.e.,：
Wherein PSTo input distribution general power, PLiFor i-th of node load power,For j-th of node access distribution
Formula photovoltaic is contributed, PstorekFor k-th of composite energy storage power system capacity.
Step 3, composite energy storage power constraint is the charge/discharge capacity for limiting load energy storage, i.e.,：
Eoc_min≤Eoc_i≤Eoc_max (3)
Wherein Eoc_minFor composite energy storage system output power lower limit, Eoc_maxFor the composite energy storage system output power upper limit.
The step 3 carries out power quality quality index formulation by following formula：
Wherein, N is system node number, and T is detection moment number, UijFor the voltage of j moment i-nodes, UNFor system nominal
Voltage, IhFor the root-mean-square valve of h subharmonic currents, I1For fundamental current root-mean-square valve.
Distribu-tion index evaluation is carried out in the step 4 as follows：
Step 1, choose composite energy storage system synthesis this as one of evaluation index, mathematic(al) representation is as follows：
Wherein, PCAnd PbFor the capacity of the ultracapacitor and accumulator that are needed to configure in system, η1And η2It indicates respectively super
The energy conversion efficiency of grade capacitor and accumulator, c1And c2For the price of ultracapacitor and battery cell's capacity, PsumFor
Composite energy storage overall system capacity, cmIndicate the regular maintenance cost of composite energy storage system；
Step 2, composite energy storage system configuration evaluation index is：
In order to solve prior art problem, the present invention also provides another to be directed to composite energy storage described in claim 1
System addressing constant volume method, includes the following steps：
Step 1, high power density photovoltaic access power distribution network is initialized；
Step 2, the number of nodes for including according to power distribution network chooses power distribution network section and establishes population；
Step 3, its initial velocity and position are set according to formula (8) to each particle of population；
The preceding N-dimensional of wherein position represents the system node that composite energy storage system is accessed, and rear N-dimensional represents composite energy storage system
Capacity；
Step 4, calculate it according to formula (9) to each particle of population is respectively in the speed at t+1 moment and displacement：
vij(t+1)=ω vij(t)+c1r1[pij-xij(t)]+c2r2[pgj-xij(t)]
xij(t+1)=xij(t)+vij(t+1), j=1,2 ..., d (9)
Wherein, ω is inertia weight, c1And c2For positive accelerated factor, r1And r2It is equally distributed in (0,1) section
Random number, Pg=(pg1,pg2,...,pgd) be optimal particle position, Pi=(p1,p2,...,pd) it is personal best particle；
Step 5, the population of optimization is generated by step 3 and step 4 iterative calculation；
Step 6, several addressing constant volume schemes is carried out to the population of optimization；
Step 7, configuration evaluation index is carried out respectively to several addressing constant volume schemes；
Step 8, the configuration highest addressing constant volume scheme of evaluation index is chosen as composite energy storage system.
Advantageous effect
Compared with prior art, this programme configures composite energy storage dress in the power distribution network that high power density photovoltaic accesses
It sets, reaches following advantageous effect：
(1) when certain node access distributed photovoltaic output is more than node itself digestion capability in system, can ensure to match
Each node voltage maintains in system allowable range in power grid, improves voltage deviation problem, ensures the normal of power distribution network internal loading
Operation；
(2) when a large amount of distributed photovoltaics access power grid by power electronic equipment, can ensure to reduce each in power distribution network
Current harmonic distortion rate at node maintains the normal operation of power distribution network internal loading, ensures the safe and stable and economic fortune of power distribution network
Row.
Description of the drawings
Fig. 1 is composite energy storage system addressing constant volume flow chart.
Fig. 2 is 33 Node power distribution system figures of the embodiment of the present invention.
Table 1 is the branch parameters and bus load data of 33 node systems.
Table 2 is high power density photovoltaic on-position and capacity.
Table 3 is the composite energy storing device installation site and capacity of the embodiment of the present invention.
Table 4 is that the distribution network electric energy quality index of the embodiment of the present invention administers front and back comparison.
Specific implementation mode
The present invention provides a kind of high power density distributed photovoltaics to access power distribution network multiple target power quality treatment method,
This method is by reaching in composite energy storing device of the power distribution network corresponding position configuration including accumulator and ultracapacitor
Administer the power quality problems such as voltage out-of-limit and harmonic pollution caused by high power density photovoltaic accesses.In addition, using improving
Particle cluster algorithm addressing constant volume, the comprehensive economy for promoting configuration composite energy storage system and improvement are carried out to composite energy storage system
Power quality effect.
It is described below：
The power distribution network respective nodes that the present invention is accessed in high power density distributed photovoltaic access composite energy storing device, fortune
Row meets shown in the constraints of system operation and constraints such as formula (1)-(3) of storage energy operation.Meanwhile meeting electric energy matter
Under the premise of amount administers index formula (4)-(5), the cost problem of energy-storage system is considered, ensure the economy of load energy-storage system configuration
Property, optimal configuration capacity and allocation position are selected according to composite energy storage system configuration evaluation index formula (7).
The scheme includes the following contents：
(1) composite energy storage system constraints
The expression formula for system operation constraints and energy storage device the operation constraints that composite energy storage system is met
For：
1) node voltage
Each node voltage should be maintained within a certain range in system, i.e.,：
Vmin≤Vi≤Vmax (1)
Wherein ViFor i-th of node voltage, VminAnd VmaxFor system voltage lower limit and the system voltage upper limit, by system to electricity
Out-of-limit requirement is pressed to determine.
2) power-balance
Power-balance should be kept in system at any time, i.e.,：
Wherein PSTo input distribution general power, PLiFor i-th of node load power, PDGjIt is distributed for j-th of node access
Photovoltaic is contributed, PstorekFor k-th of composite energy storage power system capacity.
3) composite energy storage power constraint
Accumulator cycle-index and damage service life are reduced to avoid accumulator super-charge from crossing to put, load energy storage should be limited
Charge/discharge capacity, i.e.,：
Eoc_min≤Eoc_i≤Eoc_max (3)
Wherein Eoc_minFor composite energy storage system output power lower limit, Eoc_maxFor the composite energy storage system output power upper limit.
(2) power quality controlling index
After distributed photovoltaic accesses power distribution network, the voltage of respective nodes has a certain upgrade, and contributes and surpasses when distributed photovoltaic
When going out distribution digestion capability, the problem of may voltage out-of-limit occur for some nodes.In addition, since distributed photovoltaic leads to mostly
Cross power electronic equipment access power grid, so harmonic pollution will be brought to system, in distribution load and various equipment belts
To adversely affect.Therefore, the present invention uses node voltage deviation and current total harmonic distortion rate as power quality controlling index.
Wherein, N is system node number, and T is detection moment number, UijFor the voltage of j moment i-nodes, UNFor system nominal
Voltage, IhFor the root-mean-square valve of h subharmonic currents, I1For fundamental current root-mean-square valve.
(3) composite energy storage system configuration evaluation index
Under the premise of meeting power quality controlling index, the cost problem of energy-storage system is considered, ensure load energy storage system
The economy under unified central planning set.One of this evaluation index of selection composite energy storage system synthesis, mathematic(al) representation is as follows：
Wherein, PCAnd PbFor the capacity of the ultracapacitor and accumulator that are needed to configure in system, η1And η2It indicates respectively super
The energy conversion efficiency of grade capacitor and accumulator, c1And c2For the price of ultracapacitor and battery cell's capacity, PsumFor
Composite energy storage overall system capacity, cmIndicate the regular maintenance cost of composite energy storage system.
Consider the capacity of the node voltage deviation of system, current total harmonic distortion rate and energy storage device, compound storage
Can system configuration evaluation index be：
(4) composite energy storage system addressing constant volume method
The present invention provides a kind of composite energy storage system addressing constant volume method, fully considers that high power density photovoltaic accesses distribution
The constraintss such as cost of investment, the power distribution network normal operation of power quality, composite energy storage equipment after net, grain is acquired by rounding
The discrete variables such as operating status, on off state in son, value range are all number of nodes for including of system, when initialization to
Determine section and generate the variable that the sections such as load variations range, composite energy storage capacity change greatly at random, using improved adaptive
Weight particle cluster algorithm determines composite energy storage system optimal configuration place and capacity.
When being calculated using improved adaptive weighting particle cluster algorithm, if in the search space of 2N dimensions, each particle tool
There are oneself speed and position：
The preceding N-dimensional of wherein position represents the system node that composite energy storage system is accessed, and rear N-dimensional represents composite energy storage system
Capacity.Solution representated by each particle utilizes the configuration evaluation of composite energy storage system addressing constant volume for the fitness of optimization aim
Index is assessed.
Particle is respectively in the speed at t+1 moment and displacement：
vij(t+1)=ω vij(t)+c1r1[pij-xij(t)]+c2r2[pgj-xij(t)]
xij(t+1)=xij(t)+vij(t+1), j=1,2 ..., d
(9)
Wherein, ω is inertia weight, c1And c2For positive accelerated factor, r1And r2It is equally distributed in (0,1) section
Random number, Pg=(pg1,pg2,...,pgd) be optimal particle position, Pi=(p1,p2,...,pd) it is personal best particle.Make
For adjustable parameter important in algorithm, larger ω can enhance the ability of searching optimum of algorithm, and smaller ω is for part
Search process is more advantageous, and for the global optimizing ability and local search ability of balanced algorithm, this method is using nonlinear dynamic
State inertia weight coefficient ω, calculation formula are as follows：
Wherein ωminAnd ωmaxThe maximum value and minimum value of ω are respectively represented, f represents the target function value of current particle,
fminAnd favgThe minimum value and average value of current particle object function are respectively represented.
Composite energy storage system addressing constant volume flow is as shown in Figure 1, its principle and shown in steps are as follows：
1) 101 are initialized, determines the network topology structure of power distribution network, on off state, node voltage range, distributed photovoltaic
On-position and capacity allow on-position, maximum installation number and maximum installation power to carry out composite energy storage system initial
Change.
2) number of nodes for including according to power distribution network chooses power distribution network section and establishes population 102；；
3) to its initial velocity of the setting of each particle of population and position 103；
4) speed when iterative calculation single particle t+1 and position 104；Accelerated factor c is carried out to single-particle1And c2, adaptive
The parameters such as the range of Inertia Weight ω, the velocity interval of particle and maximum iteration are answered to be set
5) population 105 of optimization is generated after the completion of iterative calculation；
6) a kind of scheme 106 of composite energy storage system addressing constant volume is respectively represented to each particle in the population of optimization；
7) the corresponding composite energy storage system configuration evaluation index of each scheme 107 is calculated；
9) select the highest scheme of composite energy storage system configuration evaluation index as optimal case；According to optimal case scheme
Configure composite energy storage system 108.
Best mode for carrying out the invention：
As shown in Fig. 2, the total burden with power of system is 3715.0kW, total load or burden without work is certain 33 Node power distribution system
2300.0kvar.System line voltage reference value is 12.66kV, and branch parameters and node load parameter are shown in Table 1.
Table 1 is the branch parameters and bus load data of 33 node systems
The system accesses 16 high power density photovoltaics in respective nodes, and on-position and power are as shown in table 2.Setting is multiple
Conjunction energy storage device fitting limit is node 1~32, and maximum access number is 2, and maximum installation power is 600kW.
2 high power density photovoltaic on-position of table and capacity
Modified particle swarm optiziation population 100 is set, iterations are 50 times, concurrently set accelerated factor c1And c2, from
Adapt to the range of Inertia Weight ω and the velocity interval of particle.
By interative computation, it is as shown in table 3 to obtain composite energy storing device allocation optimum scheme.
3 embodiment composite energy storing device installation site of table and capacity
Compare the front and back distribution network electric energy quality index variation of composite energy storing device configuration as shown in table 4, demonstrating this method has
Improve to effect the problem of node voltage deviation caused by power distribution network and harmonic pollution are accessed due to high density distributed photovoltaic.
4 embodiment distribution network electric energy quality index of table administers front and back comparison
It should be understood that embodiment and example discussed herein simply to illustrate that, to those skilled in the art
For, it can be improved or converted, and all these modifications and variations should all belong to the protection of appended claims of the present invention
Range.
Claims (5)
1. one kind accessing power distribution network multiple target electric energy administering method for high power density distributed photovoltaic, which is characterized in that packet
Include following steps：
Step 1, it configures accumulator in power distribution network corresponding position and ultracapacitor builds composite energy storage system；
Step 2, constraints is formulated to composite energy storage system；
Step 3, referred to as the electric energy governance appraisal of composite energy storage system using node voltage deviation and current total harmonic distortion rate
Mark；
Step 4, composite energy storage system configuration metrics evaluation is carried out to the power distribution network after power quality controlling.
2. according to claim 1 a kind of for the access power distribution network multiple target electric energy improvement of high power density distributed photovoltaic
Method, which is characterized in that composite energy storage system constraints are formulated in 2 in the step is carried out using following steps：
Step 1, node voltage limits
Each node voltage should be maintained within a certain range in system, i.e.,：
Vmin≤Vi≤Vmax (1)
Wherein ViFor i-th of node voltage, VminAnd VmaxFor system voltage lower limit and the system voltage upper limit, voltage is got over by system
Limit requires to determine.
Step 2, power-balance is formulated
Power-balance should be kept in system at any time, i.e.,：
Wherein PSTo input distribution general power, PLiFor i-th of node load power, PDGjDistributed photovoltaic is accessed for j-th of node
It contributes, PstorekFor k-th of composite energy storage power system capacity.
Step 3, composite energy storage power constraint is the charge/discharge capacity for limiting load energy storage, i.e.,：
Eoc_min≤Eoc_i≤Eoc_max (3)
Wherein Eoc_minFor composite energy storage system output power lower limit, Eoc_maxFor the composite energy storage system output power upper limit.
3. according to claim 1 a kind of for the access power distribution network multiple target electric energy improvement of high power density distributed photovoltaic
Method, which is characterized in that the step 3 carries out power quality index formulation by following formula：
Wherein, N is system node number, and T is detection moment number, UijFor the voltage of j moment i-nodes, UNFor system nominal voltage,
IhFor the root-mean-square valve of h subharmonic currents, I1For fundamental current root-mean-square valve.
4. according to claim 1 a kind of for the access power distribution network multiple target electric energy improvement of high power density distributed photovoltaic
Method, which is characterized in that carry out distribu-tion index evaluation in the step 4 as follows：
Step 1, choose composite energy storage system synthesis this as one of evaluation index, mathematic(al) representation is as follows：
Wherein, PCAnd PbFor the capacity of the ultracapacitor and accumulator that are needed to configure in system, η1And η2Super electricity is indicated respectively
The energy conversion efficiency of container and accumulator, c1And c2For the price of ultracapacitor and battery cell's capacity, PsumIt is compound
Energy-storage system total capacity, cmIndicate the regular maintenance cost of composite energy storage system；
Step 2, composite energy storage system configuration evaluation index is：
5. one kind being directed to composite energy storage system addressing constant volume method described in claim 1, which is characterized in that including walking as follows
Suddenly：
Step 1, high power density photovoltaic access power distribution network is initialized；
Step 2, the number of nodes for including according to power distribution network chooses power distribution network section and establishes population；
Step 3, its initial velocity and position are set according to formula (8) to each particle of population；
Wherein, the preceding N-dimensional of position represents the system node that composite energy storage system is accessed, and rear N-dimensional represents composite energy storage system
Capacity；
Step 4, calculate it according to formula (9) to each particle of population is respectively in the speed at t+1 moment and displacement：
vij(t+1)=ω vij(t)+c1r1[pij-xij(t)]+c2r2[pgj-xij(t)]
xij(t+1)=xij(t)+vij(t+1), j=1,2 ..., d (9)
Wherein, ω is inertia weight, c1And c2For positive accelerated factor, r1And r2It is equally distributed random in (0,1) section
Number, Pg=(pg1,pg2,...,pgd) be optimal particle position, Pi=(p1,p2,...,pd) it is personal best particle；
Step 5, the population of optimization is generated by step 3 and step 4 iterative calculation；
Step 6, several addressing constant volume schemes is carried out to the population of optimization；
Step 7, configuration evaluation index is carried out respectively to several addressing constant volume schemes；
Step 8, the configuration highest addressing constant volume scheme of evaluation index is chosen as composite energy storage system.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110738359A (en) * | 2019-09-24 | 2020-01-31 | 天津大学 | distributed energy station site selection method based on P median model |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104701871A (en) * | 2015-02-13 | 2015-06-10 | 国家电网公司 | Wind, light and water-containing multi-source complementary micro-grid hybrid energy storage capacity optimal proportion method |
| CN106451504A (en) * | 2016-10-19 | 2017-02-22 | 上海电力设计院有限公司 | Control method and device for configuration cost of hybrid energy storage system |
| CN107039995A (en) * | 2016-11-28 | 2017-08-11 | 国网湖北省电力公司宜昌供电公司 | A kind of distributed photovoltaic power access planing method for considering power quality problem |
-
2018
- 2018-05-29 CN CN201810528050.5A patent/CN108667057A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104701871A (en) * | 2015-02-13 | 2015-06-10 | 国家电网公司 | Wind, light and water-containing multi-source complementary micro-grid hybrid energy storage capacity optimal proportion method |
| CN106451504A (en) * | 2016-10-19 | 2017-02-22 | 上海电力设计院有限公司 | Control method and device for configuration cost of hybrid energy storage system |
| CN107039995A (en) * | 2016-11-28 | 2017-08-11 | 国网湖北省电力公司宜昌供电公司 | A kind of distributed photovoltaic power access planing method for considering power quality problem |
Non-Patent Citations (4)
| Title |
|---|
| I. MUSA等: "ntegration of Distributed Generation for network loss minimization and voltage support using Particle Swarm Optimization", 《6TH IET INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, MACHINES AND DRIVES (PEMD 2012)》 * |
| XIAOGANG WU等: "Optimized capacity configuration of an integrated power system of wind, photovoltaic and energy storage device based on improved particle swarm optimizer", 《2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2)》 * |
| 吴小刚等: "基于改进多目标粒子群算法的配电网储能选址定容", 《电网技术》 * |
| 芦火青: "计及电能质量的分布式电源选址定容优化配置研究", 《中国优秀硕士学位论文全文数据库 工程科技II辑》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110738359A (en) * | 2019-09-24 | 2020-01-31 | 天津大学 | distributed energy station site selection method based on P median model |
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