CN107332249A - Consider the fuzzy optimal trend method of the multiple target dynamic random of power system containing wind-powered electricity generation of transmission ＆ distribution collaboration - Google Patents
Consider the fuzzy optimal trend method of the multiple target dynamic random of power system containing wind-powered electricity generation of transmission ＆ distribution collaboration Download PDFInfo
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- CN107332249A CN107332249A CN201710742534.5A CN201710742534A CN107332249A CN 107332249 A CN107332249 A CN 107332249A CN 201710742534 A CN201710742534 A CN 201710742534A CN 107332249 A CN107332249 A CN 107332249A
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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
- H02J3/04—Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
- H02J3/06—Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
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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
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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Abstract
The present invention " the fuzzy optimal trend method of the multiple target dynamic random of power system containing wind-powered electricity generation for considering transmission ＆ distribution collaboration ", in terms of belonging to power system static safe and stable operation, comprises the following steps：By historical data, the Random-fuzzy Time-space serial model of distributed wind-powered electricity generation in scale wind-powered electricity generation, active distribution network is excavated；Foundation takes into account the multiple target dynamic RFOPF models such as economy, low-carbon, drop damage；Then forbid sending power criteria by considering that TS is connected feeder line with ADN, power-balance condition, generated power exert oneself bound, idle bound of exerting oneself, climbing law, node voltage bound, system spinning reserve situation and reactive power compensator put into situation to set up the constraints that transmission ＆ distribution cooperate with multiple target dynamic RFOPF models.The present invention adapts to energy interconnection development trend, helps to realize that energy-saving and emission-reduction and high efficiency of energy are utilized, it is intended to provide theoretical reference for wide area energy space-time complementation dispatching method of dissolving.
Description
Technical field
The invention belongs to power system security stable operation field, it is related under the energy internet development point in active distribution network
The coordinated scheduling method of cloth regenerative resource, helps to realize that energy-saving and emission-reduction and high efficiency of energy are utilized.
Background technology
Low-carbon electric power in active distribution network (active distribution network, ADN) with intelligent grid, dividing
Cloth regenerative resource (distributed generation, DG) flourishes, to realizing energy-saving and emission-reduction and high efficiency of energy profit
With making positive contribution.Often with power transmission network (transmission system, TS) or power distribution network point in traditional scheduling model
Not Wei research object, power transmission network analyze when by power distribution network equivalence be PQ load buses, be by power transmission network equivalence during distribution system analysis
Infinitely great power supply.Constantly raised however as DG permeabilities in ADN, its bus power has bigger fluctuation, ADN and TS connects
The power interaction connect on feeder line is inexorable trend.
But considering that the Optimized Operation research of transmission ＆ distribution collaboration still just starts to walk, under low-carbon electric power background, wind-power electricity generation is to advise greatly
Mould wind power plant and the form of distributed wind-powered electricity generation are present in TS and ADN, with distributed wind-powered electricity generation permeability increase in ADN, itself and TS
The power interaction phenomena of connection feeder line is increasingly highlighted, and existing research is not directed to the lower consideration transmission ＆ distribution association of wind-powered electricity generation Random-fuzzy injection
The same fuzzy optimal trend of power system multiple target dynamic random (random-fuzzy optimal power flow, RFOPF)
Content.Often it is respectively research object with power transmission network or distribution in conventional scheduling model, it is when power transmission network is analyzed that distribution is equivalent
By power transmission network equivalence it is infinitely great power supply when distribution is analyzed for PQ load buses.Constantly risen however as DG permeabilities in ADN
Height, its bus power has bigger fluctuation, and it is inexorable trend that ADN is interacted with power transmission network TS feeder line power.Therefore, in TS
The power features of the nodes of ADN containing distribution type renewable energy are considered in Optimized Operation research, to realize that transmission ＆ distribution cooperate with power system
The multiobjective optimization such as producing cost, dusty gas discharge and line loss under the premise of static system safety and stability is met, be
The wide area energy coordinates under background power system one of dispatching method necessary research contents a few days ago.
To sum up, the present invention proposes the scale wind-powered electricity generation being directed in TS and the distributed uncertain note of wind-powered electricity generation Random-fuzzy in ADN
The phenomenon entered, builds the multiple target of power system containing the wind-powered electricity generation dynamic RFOPF methods for considering transmission ＆ distribution collaboration, it is intended to when being the wide area energy
Empty complementation dissolve dispatching method provide theoretical reference.
The content of the invention
(1) technical problem intended to solve
For the deficiency of existing research, the present invention " considers the multiple target dynamic random of power system containing wind-powered electricity generation of transmission ＆ distribution collaboration
Fuzzy optimal trend method ", is proposed on the basis of the multiple target of power transmission network containing wind-powered electricity generation dynamic RFOPF, further considers active distribution
In net distributed wind-powered electricity generation Random-fuzzy it is uncertain exert oneself and the distribution of distribution trend influence, what research considered transmission ＆ distribution collaboration contains wind-powered electricity generation
Power system multiple target dynamic RFOPF problems.
Technical scheme：Consider the multiple target of power system containing the wind-powered electricity generation dynamic RFOPF modelings of transmission ＆ distribution collaboration, this method is included such as
Under several steps：
Step 1：Set up transmission ＆ distribution collaboration multiple target dynamic RFOPF models；Scale wind power plant in TS and the distribution in ADN
Formula wind-powered electricity generation uses Random-fuzzy ambiguous model.
Step 2：Set up object function；On the basis of power transmission network multiple target dynamic RFOPF containing wind-powered electricity generation, build and consider transmission ＆ distribution association
The multiple target dynamic RFOPF models such as economy, low-carbon, drop damage are taken into account under same Static Security Constraints, transmission ＆ distribution collaboration power train is obtained
The economic goal of system, low-carbon target and drop damage target.
Step 3：Set up the constraints that transmission ＆ distribution cooperate with multiple target dynamic RFOPF models；First consider that TS is connected feeder line with ADN
Forbid sending power constraint, then consider that distributed wind-powered electricity generation is asked to power network injecting power, and for the node in ADN inside ADN
Power-balance constraint condition, in addition also generated power exert oneself bound, idle bound of exerting oneself, Climing constant, node
Voltage bound is constrained, system spinning reserve and reactive power compensator input constraint.
Beneficial effect：The present invention builds the multiple target of power system containing the wind-powered electricity generation dynamic RFOPF methods for considering transmission ＆ distribution collaboration,
Under transmission ＆ distribution collaboration Optimizing Mode, the multiple uncertain wind power injection of Random-fuzzy of transmission ＆ distribution both sides, which can obtain, well dissolves, and fits
Answer the low-carbon electric power needs of energy-saving and emission-reduction.
Brief description of the drawings
Fig. 1 is that transmission ＆ distribution cooperate with NETWORK STRUCTURE PRESERVING POWER SYSTEM figure；
Fig. 2 is that transmission ＆ distribution collaboration power system multiple target dynamic RFOPF solves flow chart
Embodiment
Specific embodiments of the present invention and accompanying drawing are described further below.Following examples are merely to illustrate this hair
It is bright, but it is not limited to the scope of the present invention.
Refer mainly to generation, variable and subscript etc. for occurring in model are described as follows first：
T power transmission networks (TS)；
D actives distribution (ADN)；
The t periods；
I TS node serial numbers；
J ADN internal nodes are numbered；
ΦTTS node sets；
ΦT-GWith the node set of fired power generating unit in TS,
ΦT-DWith ADN connected node set in TS,
ΦDADN internal node set；
The present invention comprises the following steps：
1) transmission ＆ distribution collaboration multiple target dynamic RFOPF models are set up
(1) distributed wind-powered electricity generation Random-fuzzy modeling in active distribution network
Wind speed obeys fuzzy variable ξkAnd ξcThe Random-fuzzy Weibull distributions of form parameter and scale parameter, wind speed are described
For random fuzzy variable ξv, its chance measure distribution function is
(2) the Random-fuzzy modeling of scale wind power plant
The distribution function of scale output of wind electric field is：
In formula, vci、vcoAnd vrRespectively cut, cut out and rated wind speed；PWGrFor the rated output of single wind-driven generator
Power；NWGIt is the blower fan number of units of wind power plant.
Distributed wind power output PDG、QDGComputation model is similarly.
2) set up and take into account the multiple target dynamic RFOPF models such as economy, low-carbon, drop damage
(1) economic goal：
The economic goal of transmission ＆ distribution collaboration power system is still described as the generating expense of traditional fired power generating unit in minimum system.
Wherein：ai、bi、ciFor positioned at the generating set cost of electricity-generating parameter of node i；PGi, tFor positioned at the generator of node i
The active power output of group, flows into node for just.
(2) low-carbon target：
It is described as fired power generating unit CO2Discharge is minimized.
Wherein：αi、βi、γiFor positioned at the generating set CO of node i2Discharge parameter.
(3) drop damages target：
It is described as network active loss minimum.
Wherein：ai、bi、ciFor positioned at the generating set cost of electricity-generating parameter of node i.αi、βi、γiFor positioned at unit CO2Row
Put parameter.It is voltage (i=1,2 ..., n of t period node isbus, nbusThe interstitial content of expression system),It is node i
With j phase angle difference, GIj, tWith BIj, tIt is the conductance and susceptance of circuit between node i and j, Γ is the node set being connected with i.On
Mark represents uncertain variable.It is worth noting that, in all nodes of system, voltage the being to determine property variable of PV node.
3) constraints that transmission ＆ distribution cooperate with multiple target dynamic RFOPF models is set up：
(1) TS is connected feeder line with ADN and forbids sending power constraint
Usual grid company considers for power grid security, does not allow ADN to TS the occurrence of falling power transmission, is that this typically exists
The main points of incoming cables of ADN are equipped with reverse-power protection element, can peel off it from TS when emergent power, which falls, to be sent.And ADN generally makes every effort to
The maximization of its internal distributed power source, so as to minimize its power absorbed from power transmission network.The mould thus studied in this chapter
In type, consider that distributed wind-powered electricity generation is fully surfed the Net first, suitably cut down if wind power output is excessive, to ensure ADN not to TS
Send power.PLi, tFor positioned at the ADN load powers of node i, outflow node is just, i.e., it is positive direction to flow to ADN from TS, then needs
Perseverance has：
In formula, PLi, tAnd QLi, tActive and load or burden without work for node i in the t periods,For fired power generating unit it is idle go out
Power.
(2) power-balance constraint
This chapter only considers distributed wind-powered electricity generation to power network injecting power inside ADN, then for the node in ADN
Wherein：UI, tRepresent node j voltage；Bj represents the node being connected with node j, and its collection is combined into ΓD, ∪Bj, tRepresent
Node bj voltage；GJ, bj, t、BJ, bj, t、δJ, bj, tRepresent that node j is connected conductance, susceptance and the phase angle of branch road with node bj respectively
Difference.
For interlink point is ADN buses altogether with TS in ADN：
Above formula implication is that all electrical power load sums add all network loss in ADN, deducts all distributed energies and exerts oneself,
As bus load power PLi, t。
For the node in TS
(3) fired power generating unit is constrained
Exerted oneself bound, idle bound of exerting oneself, Climing constant including generated power.
(4) node voltage bound is constrained
Wherein：ΦPQRepresent PQ node sets in TS.
(5) system spinning reserve
By system peak load PL maxCertain percentage μ consider system spinning reserve, undertaken by fired power generating unit.
(6) reactive power compensator input constraint
ΦT-SCThe node set of reactive power compensator is equiped with expression TS.
Embodiments above is merely to illustrate the present invention, and not limitation of the present invention, about the common of technical field
Technical staff, without departing from the spirit and scope of the present invention, can also make a variety of changes and modification, therefore all
Equivalent technical scheme falls within the protection category of the present invention.
Claims (4)
1. consider the fuzzy optimal trend method of the multiple target dynamic random of power system containing wind-powered electricity generation of transmission ＆ distribution collaboration, it is characterized in that including
Following steps：
Step 1：The scale wind power plant set up in transmission ＆ distribution collaboration multiple target dynamic RFOPF models, TS and the distributed wind in ADN
Electricity uses Random-fuzzy ambiguous model；
Step 2：On the basis of the power transmission network multiple target dynamic RFOPF containing wind-powered electricity generation, the static security of consideration transmission ＆ distribution collaboration is built about
The multiple target dynamic RFOPF models such as economy, low-carbon, drop damage are taken into account under beam, the economic goal that transmission ＆ distribution cooperate with power system is obtained, it is low
Carbon target and drop damage target, and set up object function；
Step 3：The constraints that transmission ＆ distribution cooperate with multiple target dynamic RFOPF models is set up, first considers that TS is connected feeder line with ADN and forbidden
Power constraint is sent, then considers that distributed wind-powered electricity generation tries to achieve work(to power network injecting power, and for the node in ADN inside ADN
Rate equilibrium constraint, in addition also generated power exert oneself bound, idle bound of exerting oneself, Climing constant, node voltage
Bound is constrained, system spinning reserve and reactive power compensator input constraint.
2. the model according to claim 1 and method, it is characterized in that, step 1 will obtain distributed wind in active distribution network
The essential information and data of load in group of motors, energy hinge, and according to the data of acquisition, excavate wind speed, electricity, thermic load number
According to fitting of distribution parameter, it is negative to describe wind power output, electricity, heat to obtain Random-fuzzy Time-space serial model and chance measure function
The Random-fuzzy model of lotus.
3. the model method according to claim 1, it is characterized in that, step 2 is in the power transmission network multiple target dynamic containing wind-powered electricity generation
On the basis of RFOPF, according to the generating expense of traditional fired power generating unit in minimum system and cost and the relation exerted oneself, generating set
CO2The relation of parameter, node and network loss is discharged, builds and takes into account economy, low-carbon, drop under the Static Security Constraints for considering transmission ＆ distribution collaboration
The multiple target dynamic RFOPF models such as damage, and try to achieve the object function of the transmission ＆ distribution collaboration containing wind-powered electricity generation.
4. the model according to claim 1 and method, it is characterized in that, step 3 sets up transmission ＆ distribution collaboration multiple target dynamic RFOPF
The constraints of model, first considers that distributed wind-powered electricity generation is fully surfed the Net, is suitably cut down if wind power output is excessive, to ensure
ADN does not fall to send power to TS, considers further that distributed wind-powered electricity generation builds work(to power network injecting power, and for AND interior joints inside ADN
Rate equilibrium equation enters row constraint to the power in AND, then also need consider generated power exert oneself bound, it is idle exert oneself above and below
Limit, climbing law, row constraint is entered to fired power generating unit, node voltage bound and system spinning reserve, reactive-load compensation are considered in addition
Device input situation enters row constraint to RFOPF models.
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| CN110611315A (en) * | 2019-10-14 | 2019-12-24 | 国网四川省电力公司经济技术研究院 | Distributed power supply maximum access capacity calculation method considering transmission and distribution coordination |
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Cited By (4)
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| CN110210747A (en) * | 2019-05-28 | 2019-09-06 | 河海大学 | A kind of electric heating gas interconnection energy resource system flexibility dispatching method |
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| CN110611315A (en) * | 2019-10-14 | 2019-12-24 | 国网四川省电力公司经济技术研究院 | Distributed power supply maximum access capacity calculation method considering transmission and distribution coordination |
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