CN105490312B - A kind of power system multi-source power-less optimized controlling method - Google Patents
A kind of power system multi-source power-less optimized controlling method Download PDFInfo
- Publication number
- CN105490312B CN105490312B CN201510959320.4A CN201510959320A CN105490312B CN 105490312 B CN105490312 B CN 105490312B CN 201510959320 A CN201510959320 A CN 201510959320A CN 105490312 B CN105490312 B CN 105490312B
- Authority
- CN
- China
- Prior art keywords
- power
- few days
- reactive
- voltage
- formula
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Fee Related
Links
- 238000000034 method Methods 0.000 title claims abstract description 14
- 239000003990 capacitor Substances 0.000 claims abstract description 49
- 238000005457 optimization Methods 0.000 claims abstract description 40
- 230000033228 biological regulation Effects 0.000 claims abstract description 8
- 230000035945 sensitivity Effects 0.000 claims description 23
- 230000005611 electricity Effects 0.000 claims description 16
- 239000011159 matrix material Substances 0.000 claims description 13
- 230000000750 progressive effect Effects 0.000 claims description 12
- 230000009471 action Effects 0.000 claims description 7
- 230000005540 biological transmission Effects 0.000 claims description 5
- 230000009466 transformation Effects 0.000 claims description 4
- NAWXUBYGYWOOIX-SFHVURJKSA-N (2s)-2-[[4-[2-(2,4-diaminoquinazolin-6-yl)ethyl]benzoyl]amino]-4-methylidenepentanedioic acid Chemical compound C1=CC2=NC(N)=NC(N)=C2C=C1CCC1=CC=C(C(=O)N[C@@H](CC(=C)C(O)=O)C(O)=O)C=C1 NAWXUBYGYWOOIX-SFHVURJKSA-N 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 3
- 230000009897 systematic effect Effects 0.000 claims description 3
- 230000004044 response Effects 0.000 description 10
- 230000000694 effects Effects 0.000 description 5
- 239000000463 material Substances 0.000 description 3
- 238000011160 research Methods 0.000 description 3
- 230000006399 behavior Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000000178 monomer Substances 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000006641 stabilisation Effects 0.000 description 2
- 238000011105 stabilization Methods 0.000 description 2
- 238000003462 Bender reaction Methods 0.000 description 1
- 230000004888 barrier function Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000002457 bidirectional effect Effects 0.000 description 1
- 238000003763 carbonization Methods 0.000 description 1
- 230000003749 cleanliness Effects 0.000 description 1
- 239000012141 concentrate Substances 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000003831 deregulation Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000004146 energy storage Methods 0.000 description 1
- 238000013210 evaluation model Methods 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 230000001172 regenerating effect Effects 0.000 description 1
- 238000010079 rubber tapping Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/50—Controlling the sharing of the out-of-phase component
-
- 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
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/16—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by adjustment of reactive power
-
- 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
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/30—Reactive power compensation
Abstract
The invention discloses a kind of power system multi-source power-less optimized controlling method, it is main to include Optimized Operation a few days ago and in a few days optimization amendment, the Optimized Operation a few days ago is to build Optimal Operation Model a few days ago according to parameters of electric power system, and shunt capacitor group and load tap changer Reactive Power Dispatch plan a few days ago in power network are obtained using the model, the Reactive Power Dispatch plan a few days ago of shunt capacitor group and load tap changer in power network is provided in a few days optimization amendment；The in a few days optimization amendment is to utilize shunt capacitor group and the schedule information of load tap changer in the real-time update power network of Reactive Power Dispatch plan a few days ago；And the Optimized model for passing through the in a few days normal operation established obtain obtain electric automobile charging pile in a few days the Real time optimal dispatch scheme of normal operation or when obtaining in a few days failure operation according to the Optimized model of in a few days failure operation shunt capacitor group reactive power and voltage control scheme, finally realize the Optimum Regulation of same day reactive source.
Description
Technical field
The present invention relates to a kind of power system multi-source power-less optimized controlling method.
Background technology
In recent years, regenerative resource of the wind-powered electricity generation as cleanliness without any pollution, it is worldwide fast-developing.By the end of 2014
The end of the year, world's installed capacity of wind-driven power have reached 360GW, China, the U.S., Germany, Spain and the Guo Zhan worlds total installed capacity of India five
The 72% of capacity.However, the characteristics of wind-powered electricity generation randomness and weak controllability, the voltage stabilization to power system weak link generates
Deep effect.Meanwhile absorbing reactive power is needed during a large amount of asynchronous wind turbine power generation, if power network can not provide the nothing of abundance
Work(, it will cause the set end voltage of blower fan to decline, even there is the danger for departing from power network when serious[1]。
Electric automobile is turned into the important step of traffic low-carbonization development, is had progressively take at present with the advantage of its energy-saving and emission-reduction
For the trend of traditional energy automobile.Under V2G (Vehicle-to-Grid) concept, electric automobile is mutual with power network by charging pile
It is dynamic, can both be used as system loading, again can with distributed energy storage equipment, meanwhile, the charging pile based on power electronics interface can be with
As reactive generating device[2], reactive power support is provided for system, by being engaged with conventional idle voltage adjusting device, is played an active part in
In the reactive Voltage Optimum operation of system.
At present, scholars make full use of electronic for the optimal control expansion research of electric automobile active power
The active responding abilities of V2G of automobile, improve voltage stability, electric energy and frequency quality of system etc..However, there has been no largely grind
Study carefully the idle participation system optimized operation caused by electric automobile charging pile to be inquired into.Document [3] is from technical controlling aspect
Feasibility of the electric automobile charging pile as reactive generating device is demonstrated, electric automobile can reduce charging in charging process
When power factor, provide reactive power for system；Document [4] then on the basis of user's traffic behavior is considered, assesses electronic vapour
The reactive response ability of car charging pile cluster.
Reactive Voltage Optimum is to ensure electric power netting safe running, reduces active power loss, improves voltage's distribiuting, improves the quality of power supply
Effective means.Document [5] is used as controllable idle electricity using on-load transformer tap changer gear, shunt capacitor group switching
Voltage-controlled variable processed, realizes the Reactive power control to area power grid, improves the economy and reliability of operation of power networks.Document [6]
Consider synchronous generator, shunt capacitor group, the reactive source such as FACT devices, with generator economic load dispatching, economy operation of power grid and
Discrete reactive source action frequency is at least optimization multiple target, improves the voltage security and reliability of system.
[bibliography]
[1] Liang Ji peaks concentrates reactive voltage characteristic and control research [D] the North China of access power network based on large-scale wind power
Electric power university, 2012.
[2] research [D] the Hunan of D-STATCOM compensation systems of the beautiful of Yao Xin based on electric automobile charging station：Hunan is big
Learn, 2012.
[3] C.Kisacikoglu M, Kesler M, M.Tolbert L.Single-phase on-board
bidirectional PEV charger for V2G reactive power operation[J].IEEE
Transactions on Smart Grid, 2015,6 (2)：767-775.
[4] Yu T, Yao X, Wang M.A Reactive power evaluation model for EV
chargers considering travelling behaviors[C].Proceedings of IEEE Electric
Utility Deregulation and Restructuring and Power Technologies, 2015, Changsha,
China.
[5] the brave of Pan Leilei, Liu Jun considers the area power grid idle work optimization real-time control system that sequence of control actions influences
Study [J] electrotechnics journals, 2005,20 (2)：110-118.
[6] Rabiee A, Parniani M.Voltage security constrained multi-period
optimal reactive power flow using benders and optimality condition
Decompositions [J] .IEEE Transactions on Power System, 2013,28 (2)：696-708.
The content of the invention
On the basis of wind-powered electricity generation and load prediction, shunt capacitor group switching and on-load transformer tap changer pair are utilized
System carries out reactive Voltage Optimum a few days ago, the reactive power responding ability of electric automobile charging pile is taken into full account, in a few days normal
Reactive Voltage Optimum under running situation is corrected in real time, improves the economy of operation of power networks, and in a few days failure operation when then
The main switching for considering shunt capacitor group, it is proposed that consider reactive voltage sensitivity and the progressive reactive source controlling party of sequential
Case, to reach the purpose of snapback voltage.
In order to solve the above-mentioned technical problem, a kind of power system multi-source power-less optimized controlling method proposed by the present invention, bag
Optimized Operation a few days ago and in a few days optimization amendment are included, wherein：
Step 1：Optimized Operation comprises the following steps a few days ago：
Step 1-1：Input electric power systematic parameter, including at least transmission line of electricity characterisitic parameter, generator active power dispatch a few days ago
Plan, wind-powered electricity generation active power output predicted value, predicted load；
Step 1-2：The parameter obtained using step 1-1 builds Optimal Operation Model a few days ago, the optimization aim such as formula of model
(1) shown in, shown in constraints such as formula (2)：
In formula (1), n is the number of power network interior joint；UiFor the voltage magnitude of node i；UjFor node j voltage magnitude；
GijConductance between node i and j；θijThe phase angle difference of voltage between node i and j；
In formula (2), Pi,gAnd Qi,gThe active and reactive power that respectively power network interior joint i generators are sent；Pi,lAnd Qi,l
The respectively active and reactive power of power network interior joint i loads consumption；WithRespectively power network interior joint i voltages is upper
Lower range；WithThe bound scope that respectively power network interior joint i generator reactives are contributed；WithFor
The bound scope of power network interior joint i shunt capacitor group input quantities；TAPij,h、WithRespectively saved in power network
Point i load tap changer gear h and its bound scope；
Step 1-3：The Optimal Operation Model a few days ago established using step 1-2 obtains shunt capacitor group and transformation in power network
The Reactive Power Dispatch plan a few days ago of device tap, shunt capacitor group and load tap changer in power network are provided in a few days optimization amendment
Reactive Power Dispatch plan a few days ago；
Step 2：In a few days optimization amendment comprises the following steps：
Step 2-1：Using step 1-3 obtain the plan real-time update power network of Reactive Power Dispatch a few days ago in shunt capacitor group and
The schedule information of load tap changer；
Step 2-2：Power system Real-time Power Flow calculating is carried out, obtains the magnitude of voltage of each node, judges power network interior joint electricity
It is out-of-limit whether pressure occurs, if do not occurred, carries out step 2-3；If it happens, then step 2-6 is carried out；
Step 2-3：The Optimized model of in a few days normal operation is established, wherein, shown in optimization aim such as formula (3), constraints
As shown in formula (4)：
In formula (4), Qi,ev、WithRespectively power network interior joint i electric automobile charging piles provide it is idle and its
Bound scope；
Step 2-4：Electric automobile charging pile is obtained using the Optimized model of the step 2-3 in a few days normal operations established in a few days
The Real time optimal dispatch scheme of normal operation, the idle output of electric automobile charging pile is adjusted, so as to realize to electric power
The optimization amendment of system in a few days Reactive-power control, return to step 2-2, the Optimum Regulation until realizing same day reactive source；
Step 2-6：The Optimized model of in a few days failure operation is established, wherein, shown in optimization aim such as formula (5), constraints
As shown in formula (6)：
In formula (5), CBi,kAnd CBi,k0The respectively input quantity final value k and initial value k of i-node shunt capacitor group control0；
Step 2-7：Parallel connection when obtaining in a few days failure operation using the Optimized model of the step 2-6 in a few days failure operations established
The reactive power and voltage control scheme of capacitor bank, control, return to step 2-2, Zhi Daoshi are scheduled to shunt capacitor group
The Optimum Regulation of existing same day reactive source.
Compared with prior art, the beneficial effects of the invention are as follows：
Optimized Operation provides in power network shunt capacitor group and load tap changer a few days ago in a few days optimization amendment a few days ago
Reactive Power Dispatch plan；In a few days optimization amendment includes voltage out-of-limit does not occur and two kinds of methods of operation of voltage out-of-limit occurs, and does not occur
The reactive response ability of electric automobile charging pile is made full use of during voltage out-of-limit, in a few days idle work optimization is modified, reduces system
The active power loss of system；Occur to propose to consider reactive voltage sensitivity and sequential progressive reactive source control program during voltage out-of-limit,
By controlling the switching snapback voltage of shunt capacitor group, the switching frequency of capacitor bank is reduced.
Brief description of the drawings
Fig. 1 reactive power and voltage control strategic process figures；
Fig. 2 reactive power and voltage control flows；
The node system figures of Fig. 3 IEEE 30；
Fig. 4 wind power outputs predicted value and actual value；
Fig. 5 different zones predicted load and actual value；
Fig. 6 has optimize a few days ago after carries load tap changer position；
Shunt capacitor group switching information Fig. 7 optimizes a few days ago after；
The idle output distribution situation of electric automobile under Fig. 8 normal operations；
Electric network active network loss distribution situation under Fig. 9 normal operations；
Each node voltage effect of optimization under Figure 10 normal operations；
Optimal control order contrasts with inverted sequence control effect in the case of Figure 11 failures.
Embodiment
Technical solution of the present invention is described in further detail with specific embodiment below in conjunction with the accompanying drawings, described is specific
Only the present invention is explained for embodiment, is not intended to limit the invention.
A kind of power system multi-source power-less optimized controlling method proposed by the present invention, control flow is as shown in figure 1, including day
Preceding Optimized Operation and in a few days optimization amendment, wherein：
Step 1：Optimized Operation comprises the following steps a few days ago：
Step 1-1：Input electric power systematic parameter, including at least transmission line of electricity characterisitic parameter, generator active power dispatch a few days ago
Plan, wind-powered electricity generation active power output predicted value, predicted load；
Step 1-2：The parameter obtained using step 1-1 builds Optimal Operation Model a few days ago, and model is with electric network active network loss
Minimum optimization aim, as shown in formula (1), constraints is included shown in equality constraint and inequality constraints such as formula (2)：
In formula (1), n is the number of power network interior joint；UiFor the voltage magnitude of node i；UjFor node j voltage magnitude；
GijConductance between node i and j；θijThe phase angle difference of voltage between node i and j；
In formula (2), Pi,gAnd Qi,gThe active and reactive power that respectively power network interior joint i generators are sent；Pi,lAnd Qi,l
The respectively active and reactive power of power network interior joint i loads consumption；WithRespectively power network interior joint i voltages is upper
Lower range；WithThe bound scope that respectively power network interior joint i generator reactives are contributed；WithFor
The bound scope of power network interior joint i shunt capacitor group input quantities；TAPij,h、WithRespectively in power network
Node i load tap changer gear h and its bound scope；
Step 1-3：The Optimal Operation Model a few days ago established using step 1-2 obtains shunt capacitor group and transformation in power network
The Reactive Power Dispatch plan a few days ago of device tap, shunt capacitor group and load tap changer in power network are provided in a few days optimization amendment
Reactive Power Dispatch plan a few days ago；
Step 2：In a few days optimization amendment comprises the following steps：
Step 2-1：Using step 1-3 obtain the plan real-time update power network of Reactive Power Dispatch a few days ago in shunt capacitor group and
The schedule information of load tap changer；
Step 2-2：Power system Real-time Power Flow calculating is carried out, obtains the magnitude of voltage of each node, judges power network interior joint electricity
It is out-of-limit whether pressure occurs, if do not occurred, carries out step 2-3；If it happens, then step 2-6 is carried out；
Step 2-3：The Optimized model of in a few days normal operation is established, wherein, model is with the minimum optimization of electric network active network loss
Target, as shown in formula (3), constraints includes equality constraint and inequality constraints, as shown in formula (4)：
In formula (4), Qi,ev、WithRespectively power network interior joint i electric automobile charging piles provide it is idle and its
Bound scope, the present invention use electric automobile reactive response capability assessment model in document [4]；
Step 2-4：Electric automobile charging pile is obtained using the Optimized model of the step 2-3 in a few days normal operations established in a few days
The Real time optimal dispatch scheme of normal operation, the idle output of electric automobile charging pile is adjusted, so as to realize to electric power
The optimization amendment of system in a few days Reactive-power control, return to step 2-2, the Optimum Regulation until realizing same day reactive source；
Step 2-6：Establish the Optimized model of in a few days failure operation, wherein, model with shunt capacitor group action frequency most
It is optimization aim less, as shown in formula (5), constraints includes equality constraint and inequality constraints, as shown in formula (6)：
In formula (5), CBi,kAnd CBi,k0The respectively input quantity final value k and initial value k of i-node shunt capacitor group control0；
Step 2-7：Parallel connection when obtaining in a few days failure operation using the Optimized model of the step 2-6 in a few days failure operations established
The reactive power and voltage control scheme of capacitor bank, control, return to step 2-2, Zhi Daoshi are scheduled to shunt capacitor group
The Optimum Regulation of existing same day reactive source.
As shown in Fig. 2 during the in a few days failure operation shunt capacitor group reactive power and voltage control scheme, including base
In the control sequence of reactive voltage sensitivity and time delay based on the progressive reactive source switching of sequential：
The particular content of control sequence based on reactive voltage sensitivity is：Shown in electric power system tide equation such as formula (7)；
As Δ P=0, shown in the relation such as formula (8) of reactive power and power network interior joint voltage；Reactance is far longer than electricity in power transmission network
Resistance, when P-Q is decoupled, after simplifying, shown in the relation such as formula (9) of reactive power and power network interior joint voltage, so as to obtain power train
The sensitivity matrix S of system：
In formula (7), Δ P and Δ Q are respectively the uneven active vectorial with reactive power of node；Δ θ and Δ U is respectively to save
The voltage phase angle of point and the correction vector of amplitude；JPθAnd JPURespectively in Jacobian matrix active power to voltage phase angle and
The sensitivity matrix of amplitude；JQθAnd JQUReactive power is to voltage phase angle and the sensitivity square of amplitude respectively in Jacobian matrix
Battle array；
In formula (9), S is sensitivity matrix of the system reactive power to voltage.According to above-mentioned sensitivity matrix S, according to electricity
The size of sensitivity of each node reactive power to voltage is ranked up to each node in net, is obtained each node in power network and is based on nothing
The control sequence of work(voltage sensibility.
The time delay based on the progressive reactive source switching of sequential is obtained, including：The progressive switching model such as formula of sequential
(10) shown in, the time interval TD between the adjacent action of reactive source twice is obtained；
In formula (10), L is the nodes of voltage failure；For the node i magnitude of voltage to be returned to；K and α is used to control
The parameter of time delay scope；According to the time interval TD between the above-mentioned adjacent action of reactive source twice, reactive source switching is obtained
Time delay, ensure voltage can steadily and quickly recover.
Experimental example：
The present invention is using the example material of the nodes of IEEE 30 to the power system of the meter and electric automobile charging pile that are proposed
Reactive voltage optimal control method is verified that the system diagram of example material is as shown in Figure 3.Load bus 3 in power network, 4,5,6,
7th, 8,9,10,11,12,14,15,16,17,18,19,20,21,24,25,26,28,29 and 30 voltage bound is constrained to
[0.95,1.05], the voltage bound of generator node 1,2,13,22,23 and 27 is constrained to [0.95,1.10] in power network；Electricity
Net interior joint 5,17 and 24 is equipped with shunt capacitor group compensation device, and the shunt capacitor quantity of node 5 and 24 is 10, monomer
Compensation capacity is 1Mvar, and the shunt capacitance quantity of node 17 is 10, and monomer compensation capacity is 2Mvar；Circuit 6-9 in power network,
ULTC is connected between 6-10,4-12 and 28-27, tapping range is [0.9,1.1], and control interval is
0.025；Power network interior joint 13 and 27 is wind-powered electricity generation node, the predicted value a few days ago of wind power output and in a few days actual value is as shown in Figure 4；Root
According to the difference of load type, system is divided into industrial area, shopping centre and the load area of residential block three, each region load it is a few days ago pre-
Measured value and in a few days actual value is as shown in Figure 5.
Optimized Operation interpretation of result a few days ago：Utilize meter proposed by the present invention and the power system reactive power of electric automobile charging pile
Voltage optimization control method, a few days ago after Optimized Operation, circuit 6-9,6-10,4-12 and 28-27 on-load voltage regulation transformation in power network
Device tap joint position schedule information is as shown in Figure 6；A few days ago after Optimized Operation, the shunt capacitor group of power network interior joint 5,17 and 24
The information of switching quantity is as shown in Figure 7.
Optimize correction result analysis a few days ago：After in a few days optimization amendment, the electric automobile charging pile of power network interior joint 23 is idle
The distribution situation of output and its bound scope in one day is as shown in figure 8, reactive power caused by electric automobile charging pile is joined
In being run to the optimization of system, and 17:00-20:In 00 period, due to being limited by maximum reactive response ability, this
Shi Shiji is idle, and output is limited within responding ability bounds；Using the reactive response ability of electric automobile, to a few days ago
Optimal reactive power dispatch result corrected in real time, further reduce system active power loss, the parallel connection reduced to a certain extent
The number of operations of capacitor bank.
A few days ago optimal reactive power dispatch, in a few days optimization amendment normal operation when do not consider electric automobile reactive response ability and day
Consider distribution of the active power loss in one day in the case of three kinds of electric automobile reactive response ability during interior optimization amendment normal operation
Situation as shown in figure 9, due to wind power output and load predicted value a few days ago and in a few days actual value has differences, using nothing a few days ago
Work(source scheduling scheme, when not considering the reactive response ability of electric automobile, the estimate of active power loss and actual value are present a few days ago
Difference；And after in a few days optimizing amendment using the reactive response ability progress idle work optimization amendment of electric automobile, can be in certain journey
The actual motion network loss of power network is reduced on degree, the utilization ratio of charging pile is improved, is advantageous to the economical operation of power network.
In order to illustrate that power network is in a few days optimizing revised reactive Voltage Optimum effect, with 00:00、05:00、10:00、
15:00 and 20:Exemplified by 00, Figure 10 gives the magnitude of voltage of each node and the bound model of the node voltage after in a few days optimization amendment
Enclose, because each moment operation of power networks state is different, each node is optimizing revised voltage difference at different moments, after optimization amendment
The magnitude of voltage of each node in lower range, is meeting the voltage stabilization requirement of system thereon.
The reactive power and voltage control scheme of shunt capacitor group during in order to illustrate in a few days failure operation, example material are assumed
15:Depart from power network after the alternator failure of 00 node 22；According to reactive voltage level of sensitivity, each shunt capacitor group section
Control sequence of the point based on reactive voltage sensitivity is as shown in table 1；According to the progressive switching model of sequential, shunt capacitor group base
It is as shown in table 2 in the time delay of the progressive reactive source switching of sequential.
The reactive power and voltage control scheme of shunt capacitor group during in order to illustrate in a few days failure operation, Figure 11, which gives, to be adopted
With the control effect comparison diagram after the control program order and reverse-order of acquisition, it can be seen that after the order, each node
Voltage can return in its bound claimed range faster.
Control sequence of the shunt capacitor group node based on reactive voltage sensitivity after the failure of table 1
Time delay of the shunt capacitor group based on the progressive reactive source switching of sequential after the failure of table 2
To sum up, the power system reactive power voltage optimization control method of meter and electric automobile charging pile proposed by the present invention, its
In, Optimized Operation is provided using shunt capacitor group and ULTC to reduce network loss in a few days optimization amendment a few days ago
The Reactive Power Dispatch plan a few days ago of shunt capacitor group and load tap changer in power network；In a few days optimization amendment includes in a few days normal fortune
Row and in a few days failure operation, network loss in a few days is reduced using electric automobile charging pile reactive response ability during normal operation, in a few days event
Shunt capacitor group switching frequency minimum snapback voltage is then utilized during barrier；For in a few days failure operation situation, propose in parallel
The reactive power and voltage control scheme of capacitor bank, including the control sequence based on reactive voltage sensitivity and progressive based on sequential
Reactive source switching time delay.
Although above in conjunction with accompanying drawing, invention has been described, and the invention is not limited in above-mentioned specific implementation
Mode, above-mentioned embodiment is only schematical, rather than restricted, and one of ordinary skill in the art is at this
Under the enlightenment of invention, without deviating from the spirit of the invention, many variations can also be made, these belong to the present invention's
Within protection.
Claims (2)
1. a kind of power system multi-source power-less optimized controlling method, it is characterised in that optimize including Optimized Operation a few days ago and in a few days
Amendment, wherein：
Step 1：Optimized Operation comprises the following steps a few days ago：
Step 1-1：Input electric power systematic parameter, including at least the active power dispatch plan a few days ago of transmission line of electricity characterisitic parameter, generator,
Wind-powered electricity generation active power output predicted value, predicted load；
Step 1-2：The parameter obtained using step 1-1 builds Optimal Operation Model a few days ago, optimization aim such as formula (1) institute of model
Show, shown in constraints such as formula (2)：
In formula (1), n is the number of power network interior joint；UiFor the voltage magnitude of node i；UjFor node j voltage magnitude；GijFor section
Conductance between point i and j；θijThe phase angle difference of voltage between node i and j；
In formula (2), Pi,gAnd Qi,gThe active and reactive power that respectively power network interior joint i generators are sent；Pi,lAnd Qi,lRespectively
For the active and reactive power of power network interior joint i loads consumption；WithThe respectively bound of power network interior joint i voltages
Scope；WithThe bound scope that respectively power network interior joint i generator reactives are contributed；WithFor in power network
The bound scope of node i shunt capacitor group input quantity；TAPij,h、WithRespectively power network interior joint i becomes
Depressor tap gear h and its bound scope；
Step 1-3：The Optimal Operation Model a few days ago established using step 1-2 obtains shunt capacitor group and transformer point in power network
Joint Reactive Power Dispatch plan a few days ago, shunt capacitor group and load tap changer are provided in power network a few days ago in a few days optimization amendment
Reactive Power Dispatch plan；
Step 2：In a few days optimization amendment comprises the following steps：
Step 2-1：Shunt capacitor group and transformation in the plan real-time update power network of Reactive Power Dispatch a few days ago obtained using step 1-3
The schedule information of device tap；
Step 2-2：Power system Real-time Power Flow calculating is carried out, the magnitude of voltage of each node is obtained, judges that power network interior joint voltage is
No generation is out-of-limit, if do not occurred, carries out step 2-3；If it happens, then step 2-6 is carried out；
Step 2-3：The Optimized model of in a few days normal operation is established, wherein, shown in optimization aim such as formula (3), constraints such as formula
(4) shown in：
In formula (4), Qi,ev、WithThe idle and its bound that respectively power network interior joint i electric automobile charging piles provide
Scope；
Step 2-4：It is in a few days normal that electric automobile charging pile is obtained using the Optimized model of the step 2-3 in a few days normal operations established
The Real time optimal dispatch scheme of operation, the idle output of electric automobile charging pile is adjusted, so as to realize to power system
The in a few days optimization amendment of Reactive-power control, return to step 2-2, the Optimum Regulation until realizing same day reactive source；
Step 2-6：The Optimized model of in a few days failure operation is established, wherein, shown in optimization aim such as formula (5), constraints such as formula
(6) shown in：
In formula (5), CBi,kAnd CBi,k0The respectively input quantity final value k and initial value k of i-node shunt capacitor group control0；
Step 2-7：Shunt capacitance when obtaining in a few days failure operation using the Optimized model of the step 2-6 in a few days failure operations established
The reactive power and voltage control scheme of device group, control is scheduled to shunt capacitor group, return to step 2-2, is worked as until realizing
The Optimum Regulation of day reactive source.
2. power system multi-source power-less optimized controlling method according to claim 1, it is characterised in that described in step 2-7
In a few days during failure operation shunt capacitor group reactive power and voltage control scheme, including the control based on reactive voltage sensitivity
Order and the time delay based on the progressive reactive source switching of sequential：
Step A：The control sequence based on reactive voltage sensitivity is obtained according to following steps：
Step A-1：Shown in electric power system tide equation such as formula (7)；As Δ P=0, reactive power and power network interior joint voltage
Shown in relation such as formula (8)；Reactance is far longer than resistance in power transmission network, when P-Q is decoupled, after simplifying, is saved in reactive power and power network
Shown in the relation such as formula (9) of point voltage, so as to obtain the sensitivity matrix S of power system：
In formula (7), Δ P and Δ Q are respectively the uneven active vectorial with reactive power of node；Δ θ and Δ U is respectively node
The correction of voltage phase angle and amplitude vector；JPθAnd JPUActive power is to voltage phase angle and amplitude respectively in Jacobian matrix
Sensitivity matrix；JQθAnd JQUReactive power is to voltage phase angle and the sensitivity matrix of amplitude respectively in Jacobian matrix；
In formula (9), S is sensitivity matrix of the system reactive power to voltage；
Step A-2：Sensitivity matrix S in step A-1, according to sensitivity of each node reactive power to voltage in power network
Size each node is ranked up, obtain power network in control sequence of each node based on reactive voltage sensitivity；
Step B：The time delay based on the progressive reactive source switching of sequential is obtained as steps described below：
Step B-1：Shown in the progressive switching model such as formula (10) of sequential, between the time between the adjacent action of reactive source twice of acquisition
Every TD；
In formula (10), L is the nodes of voltage failure；For the node i magnitude of voltage to be returned to；K and α, which is used to control, to postpone
The parameter of time range；
Step B-2：The time interval TD between the action of adjacent reactive source twice in step B-1, obtains reactive source switching
Time delay.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510959320.4A CN105490312B (en) | 2015-12-18 | 2015-12-18 | A kind of power system multi-source power-less optimized controlling method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510959320.4A CN105490312B (en) | 2015-12-18 | 2015-12-18 | A kind of power system multi-source power-less optimized controlling method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105490312A CN105490312A (en) | 2016-04-13 |
| CN105490312B true CN105490312B (en) | 2018-04-06 |
Family
ID=55677129
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510959320.4A Expired - Fee Related CN105490312B (en) | 2015-12-18 | 2015-12-18 | A kind of power system multi-source power-less optimized controlling method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105490312B (en) |
Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106786630B (en) * | 2017-01-22 | 2019-06-11 | 上海电力学院 | A kind of voltage power-less optimized controlling method of the distributed generation resource containing polymorphic type |
| CN106712042A (en) * | 2017-03-21 | 2017-05-24 | 国网江苏省电力公司电力科学研究院 | Power grid energy conservation and loss reduction control method considering reactive response capability of charging pile |
| CN107171339B (en) * | 2017-05-27 | 2020-02-11 | 国网河南省电力公司电力科学研究院 | Voltage reactive power optimization method for power distribution network comprising microgrid |
| CN107565575A (en) * | 2017-09-20 | 2018-01-09 | 国网天津市电力公司 | Adjust the control method that electric distribution network reactive-voltage ensures the low-voltage region quality of power supply |
| CN107919686B (en) * | 2017-10-30 | 2021-08-13 | 华北电力大学 | Wide-area source-load day-ahead active power optimization control method |
| CN110086186B (en) * | 2019-04-24 | 2023-01-31 | 国网山东省电力公司枣庄供电公司 | Urban distribution network voltage control method considering street lamp charging pile |
| CN110768262B (en) * | 2019-10-31 | 2023-09-26 | 上海电力大学 | Active power distribution network reactive power configuration method based on node clustering partition |
| CN111555337B (en) * | 2020-07-13 | 2020-12-15 | 国网江西省电力有限公司电力科学研究院 | Analysis method for improving direct current receiving capacity of direct current weak receiving end power grid |
| CN112838622B (en) * | 2021-03-26 | 2023-07-14 | 云南电网有限责任公司电力科学研究院 | Reactive voltage optimization control method and system for 10kV power supply area |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102694391A (en) * | 2012-05-31 | 2012-09-26 | 国电南瑞科技股份有限公司 | Day-ahead optimal scheduling method for wind-solar storage integrated power generation system |
| CN103296681A (en) * | 2013-05-27 | 2013-09-11 | 东南大学 | Real-time electric vehicle and wind power collaborative dispatching and optimizing method |
| CN104578059A (en) * | 2015-01-21 | 2015-04-29 | 南通大学 | Power grid day-ahead wind power integration capacity evaluation method based on multi-objective optimization |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7349882B2 (en) * | 2003-03-10 | 2008-03-25 | Siemens Power Transmission & Distribution, Inc. | Optimized security constrained unit commitment dispatch using linear programming for electricity markets |
-
2015
- 2015-12-18 CN CN201510959320.4A patent/CN105490312B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102694391A (en) * | 2012-05-31 | 2012-09-26 | 国电南瑞科技股份有限公司 | Day-ahead optimal scheduling method for wind-solar storage integrated power generation system |
| CN103296681A (en) * | 2013-05-27 | 2013-09-11 | 东南大学 | Real-time electric vehicle and wind power collaborative dispatching and optimizing method |
| CN104578059A (en) * | 2015-01-21 | 2015-04-29 | 南通大学 | Power grid day-ahead wind power integration capacity evaluation method based on multi-objective optimization |
Non-Patent Citations (1)
| Title |
|---|
| 主动配电网的两阶段优化调度模型;庄慧敏等;《西南交通大学学报》;20151031;第50卷(第5期);第928-934页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105490312A (en) | 2016-04-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105490312B (en) | A kind of power system multi-source power-less optimized controlling method | |
| Li et al. | Energy management and operational control methods for grid battery energy storage systems | |
| Shen et al. | Hierarchical control of DC micro-grid for photovoltaic EV charging station based on flywheel and battery energy storage system | |
| Falahati et al. | Grid secondary frequency control by optimized fuzzy control of electric vehicles | |
| Alhelou et al. | Hierarchical plug-in EV control based on primary frequency response in interconnected smart grid | |
| CN103199542B (en) | Method of optimal control of wind power plant reactive voltage | |
| CN104242337B (en) | The real time coordination control method of photovoltaic microgrid system | |
| CN104659804B (en) | Micro-capacitance sensor containing hybrid energy-storing and its control method | |
| CN104917173B (en) | Adapt to the distribution optimization method of power distribution network Large Copacity load transfer | |
| CN103532214A (en) | Photovoltaic power generation system structure integrating energy storage and grid-connected and off-grid power supply functions and control method | |
| Jia et al. | Frequency response of autonomous microgrid based on family-friendly controllable loads | |
| Wang et al. | Load curve smoothing strategy based on unified state model of different demand side resources | |
| CN105226665A (en) | The method of busbar voltage daily fluctuation rate is reduced by automatic plant stand cooperation control | |
| CN107069773A (en) | Unify the load smooth control method of state model based on Demand-side resource | |
| Wu et al. | PEV-based reactive power compensation for wind DG units: A stackelberg game approach | |
| CN104253439B (en) | Battery energy storage power station reactive power is distributed and control method | |
| CN207910488U (en) | A kind of multilayer micro-grid system provided multiple forms of energy to complement each other | |
| CN205212447U (en) | Multiple target optimizing system who contains little electric wire netting of compound energy storage | |
| El-Bahay et al. | Computational methods to mitigate the effect of high penetration of renewable energy sources on power system frequency regulation: a comprehensive review | |
| Thirugnanam et al. | Battery integrated solar photovoltaic energy management system for micro-grid | |
| Mathur et al. | Frequency regulation with vehicle-to-grid (V2G) option in multi-generation power network | |
| CN106712042A (en) | Power grid energy conservation and loss reduction control method considering reactive response capability of charging pile | |
| CN106655257A (en) | New energy hybrid power supply-based energy management system and method of port shore power | |
| CN207612124U (en) | A kind of active distribution network hardware system of the micro-capacitance sensor of power supply containing multiclass | |
| CN106058916A (en) | Passive grid-connected-to-off-network switching control method based on single three-phase multiple microgrids |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20180406 Termination date: 20181218 |