CN105958550B - Intelligent electric power control method based on distributed power source - Google Patents

Intelligent electric power control method based on distributed power source Download PDF

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CN105958550B
CN105958550B CN201610356711.1A CN201610356711A CN105958550B CN 105958550 B CN105958550 B CN 105958550B CN 201610356711 A CN201610356711 A CN 201610356711A CN 105958550 B CN105958550 B CN 105958550B
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power
distributed power
load
intelligent
energy storage
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CN105958550A (en
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毛新龙
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毛新龙
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381Dispersed generators

Abstract

The invention provides a kind of intelligent electric power control method based on distributed power source, including:Data acquisition is carried out to each TRT of intelligent distributed power network, energy storage device and load using EMS, corresponding decision is made according to predetermined control strategy, decision instruction is transferred to device controller again, so that device controller controls distributed power generation unit, energy storage device and load according to command adapted thereto, complete electric power and coordinate control and optimize.Intelligent electric power control method proposed by the present invention based on distributed power source, distribution and the controlling electric energy of resource are realized according to loading demand, realize that remote system supervisory control and data acquisition (SCADA) is handled, the high capacity for solving Data Centralized Processing and causing is inefficient, it is ensured that intelligent distributed electrical network economy, reliable, efficient, safe operation.

Description

Intelligent electric power control method based on distributed power source
Technical field
The present invention relates to controlling electric energy, more particularly to a kind of electrical control method of distributed power source.
Background technology
With constantly riseing for electricity needs, concentration supply power shows increasing disadvantage for the large-scale power grid of main body End:Power transmission and transformation difficulty is big, and under fire security is low, and it is high that remote districts set up cost.And distributed power generation is generally adopted by clearly The clean energy, pollution is less and utilization rate is high, in addition, and it also has effect and the install convenient of balance to bulk power grid, thus into For effective supplement of bulk power grid.But as largely scattered low capacity distributed power source accesses bulk power grid, the control to system It will cause seriously to test, and the uncontrollable distributed energy of Large Copacity, as the access of photovoltaic plant will also impact power transmission network Safe and reliable operation.The power swing caused for balanced distribution formula power supply intermittence, by each distribution in distributed power grid The adjustment that power supply is exerted oneself, which can be sent out, realizes making full use of for the energy.As the core control portions of intelligent distributed power network, EMS is realized The optimization distribution of different periods resource and the economic and reliable of intelligent distributed power network are run, and are to ensure intelligent distributed power network high-quality The important support of Effec-tive Function.It is based under quiescent conditions, structure immobilizes more, is used with center control current prior art Centralized Control centered on device processed, only possesses simple data acquisition and monitoring, device switching, and each distributed hair can not be realized substantially The coordination control of electricity, it is seen that the single and inefficient centerized fusion of traditional function no longer adapts to the requirement being newly laid out.
The content of the invention
To solve the problems of above-mentioned prior art, the present invention proposes a kind of intelligence electricity based on distributed power source Force control method, including:
Data acquisition is carried out to each TRT of intelligent distributed power network, energy storage device and load using EMS, according to Predetermined control strategy makes corresponding decision, then decision instruction is transferred into device controller, so that device controller is according to corresponding Instruction control distributed power generation unit, energy storage device and load, complete electric power and coordinate control and optimize.
Preferably, the intelligent distributed power network include photovoltaic motor, thermoelectricity unit, energy storage device, load, EMS and after Electrical protective device;Intelligent distributed power network is connected each unit by bus, and is connected by transformer and bulk power grid;Its Described in photovoltaic motor realize to the tracking of solar energy and to energy storage device discharge and recharge, it is then female by inverter connection exchange Line;The scheduling that photovoltaic array controller receives EMS is exerted oneself instruction, with the uneoupled control of the active reactive of photovoltaic generation, realization The adjustment of exerting oneself of photovoltaic motor;The energy storage device carries out short-duration power to system, and energy storage is carried out according to EMS dispatch command The management of charging and discharging of device;The thermoelectricity unit sends alternating current by itself control and is directly connected with ac bus, as standby With TRT, the Electric control of intelligent distributed power network is coordinated to carry out start and stop;It is described load be divided into can be interrupted load and can not Interruption load, EMS simultaneously implements dsm to load, and preferential ensure can not be interrupted the power demand of load;The intelligence point Cloth power network is carried out by points of common connection and main separator under the switching of grid-connected and isolation two kinds of methods of operation, synchronizing mode The two-way flow of energy is realized, intelligent distributed power network autonomy operation during isolation;When intelligent distributed power network can not meet load During demand, points of common connection will close main separator, and intelligent distributed power network is connected with bulk power grid, now intelligent distributed Power network is equivalent to the controllable load of bulk power grid, is powered from bulk power grid to intelligent distributed power network;The EMS detects each distribution The power output of formula power unit, the charging and discharging state of energy storage device, the power of load, cell node quality of power supply information, Under the constraints for the electrical characteristic for meeting the physical equipments such as service condition and energy storage, these data are analyzed and processed, Coordinate the work of the module such as distributed power source and load inside intelligent distributed power network, the stream of Intelligent Optimal distributed electrical network energy Dynamic and utilization, is provided the electric energy of quality needed for meeting to user load with minimum work operating cost, realizes the optimization of system With scheduling.
Preferably, the quality of power supply information is estimated by following steps, it is first determined the person in servitude of power quality index Belong to value function, then weights are assigned to the membership values of indices, using weighting assessed value as electricity quality evaluation value, specific bag Include:
The indices deviation of voltage class is divided into five grades, following membership function is used to indices:
λ=1/ (α xβ), λ is membership values;X is power quality index deviation;α and β are regulated variables;
Correspond to the qualified critical value of indices deviation when membership function value is 0.5;
Calculating obtains membership vector A=[λ1, λ2, λ3, λ4, λ5, λ6],
λ16Respectively voltage deviation, frequency departure, voltage pulsation, voltage transient, harmonic distortion, degree of unbalancedness are subordinate to Value;
Weights niAccording to when membership values are lower, index's quality is poorer, and its weights is bigger, is defined as:
Obtain vectorial N=[n1,n2,n3,n4,n5,n6]
It is δ to make electricity quality evaluation value, if there is λi<0.5, then δ=min { λi};If for any i, λi>0.5 all into Stand, then δ=NAT
The present invention compared with prior art, with advantages below:
Intelligent electric power control method proposed by the present invention based on distributed power source, point of resource is realized according to loading demand Match somebody with somebody and controlling electric energy, realize that remote system supervisory control and data acquisition (SCADA) is handled, the high capacity for solving Data Centralized Processing and causing It is inefficient, it is ensured that intelligent distributed electrical network economy, reliable, efficient, safe operation.
Embodiment
The detailed description to one or more embodiment of the invention is provided below.This hair is described with reference to such embodiment It is bright, but the invention is not restricted to any embodiment.The scope of the present invention is limited only by the appended claims, and the present invention cover it is all It is substitute, change and equivalent more.Many details are illustrated in the following description to provide thorough understanding of the present invention.Go out These details are provided in the purpose of example, and can also be according to power without some in these details or all details Sharp claim realizes the present invention.
The present invention is by taking hereafter intelligent distributed power network as an example, and distributed power grid is filled by photovoltaic motor, thermoelectricity unit, energy storage Put, load, EMS and protective relaying device are constituted.Photovoltaic generation is the power supply approach of intelligent distributed power network, energy storage device and heat The dynamic characteristic for eliminating system as standby unit of group of motors causes the imbalance of power supply and demand, improves the quality of power supply, it is ensured that The stable operation of intelligent distributed power network.
Control system uses hierarchical control, and top level control is completed by EMS, bottom control be by distributed power generation unit, The power electronic equipment that load etc. is directly controlled is realized.EMS is carried out to each TRT of distributed power grid and load Data acquisition, makes different decision-makings for varying environment by electric power control strategy and decision instruction is transferred into equipment control again Device, completes electric power and coordinates control, device controller controls distributed power generation unit and load to throw by receiving upper strata decision instruction Cut.Intelligent distributed power network is connected each unit by the bus of 0.4kv voltage class, and is become by a 0.4/10kv Depressor and bulk power grid connection.Specifically:
Photovoltaic motor:Using controller realization to the tracking of solar energy and to energy storage device discharge and recharge, then by inversion Device connects ac bus.The scheduling that photovoltaic array controller receives EMS is exerted oneself instruction, with the solution of the active reactive of photovoltaic generation Coupling is controlled, and realizes the adjustment of exerting oneself of photovoltaic motor.
Energy storage device:To the short-duration power of system, the quality of power supply of power scheduling and improvement system plays an important roll.And It realizes to be exactly that the charge and discharge electrical equipment of energy storage device is managed, and charging-discharging controller is carried out according to EMS dispatch command The management of charging and discharging of energy storage device.
Thermoelectricity unit:Alternating current is sent by itself control to be directly connected with ac bus.Powered as extreme weather Standby TRT, coordinates the rational start and stop thermoelectricity unit of Electric control of intelligent distributed power network.
Inverter:The electric power for sending distributed energy meets grid-connected requirement, and the electricity that such as photovoltaic and energy storage device are sent is all It is direct current, direct current energy is converted into meeting to the alternating current of ac bus requirement, and EMS scheduling controlling can be participated in.
Load:Load can be interrupted and can not be interrupted load by being divided into, and implement dsm to load, and preferential ensure can not It is interrupted the power demand of load, next to that load can be interrupted.
Points of common connection and main separator:Two kinds of methods of operation for the grid-connected of intelligent distributed power network and isolation are cut Change.The two-way flow of energy is realized under synchronizing mode.During isolation, intelligent distributed power network autonomy operation.When intelligent distributed electricity When net can not meet loading demand, points of common connection will close main separator, and intelligent distributed power network is connected with bulk power grid, this When intelligent distributed power network be equivalent to a controllable load of bulk power grid, powered from bulk power grid to intelligent distributed power network.
EMS:By data collecting system detect the power output of each distributed power unit, energy storage device discharge and recharge State, the power of load, cell node quality of power supply information etc., meeting the electric of the physical equipments such as service condition and energy storage Under the constraintss such as characteristic, these data are analyzed and processed, coordinate intelligent distributed power network inside distributed power source and negative The work of module such as carry, the flowing and utilization of Intelligent Optimal distributed electrical network energy, with minimum work operating cost to user Load provides the electric energy for meeting requirement quality, realizes the optimization and scheduling of system.
Above-mentioned outfit EMS intelligent distributed power network has good open and compatibility, with photovoltaic module, thermoelectricity The increase of unit is exited, it is only necessary to is increased or is equipped with new control device, the function with preferable plug and play.
The EMS inside structures of the present invention include application layer, podium level, operating system layer and mechanical floor;Podium level is by dividing Cloth communication network layer, database layer composition, distributed communication network is the network of the whole intelligent distributed communication system of power grids, and it holds Carry on a shoulder pole each TRT, the information transfer of load of EMS and distributed power grid;Database layer is the database platform by system Constitute.
According to intelligent distributed electrical network feature, function application module is divided into five modules by EMS, respectively user mutual, Estimation block, electrical network analysis, controlling electric energy and system administration.
1) user interactive module realizes the User Interface of user and EMS interaction, i.e. system, and it includes system topological Structure, real-time operation, data monitoring and accident alarming.The topological structure of intelligent distributed power network can be shown by interactive interface With the access state of all electrical equipments, and can real-time operation switch;Data monitoring by various collecting device gathered datas, then Carried out data transmission by communication port, data transfer carries out display in real time and database storage to computer, then by interactive interface Deposit;Accident alarming is included when intelligent distributed power network will or break down, and system is examined by safety analysis and failure Disconnected grade fast and accurately determines failure, and interactive interface promptly sends alarm.
2) estimation block includes load estimation, the estimation that generates electricity, four parts of electricity price estimation and estimation statistics.To environment, bear Carry, generating and electricity price are estimated, exert oneself adjustment, Power control module etc. after being provide data.Estimation statistics includes system Estimated data is counted, reference is provided to real data, draws error form, data analysis.
3) electrical network analysis module includes Load flow calculation, electricity quality evaluation, safety analysis and data analysis.Wherein electric energy matter Amount, which is assessed, to be included according to electricity quality evaluation index, including voltage deviation, frequency departure, harmonic content, voltage pulsation, voltage wink Become and three-phase imbalance, provide assessment models;Load flow calculation includes the mode of connection and parameter and service condition according to power network, meter Calculate systematic steady state and run each busbar voltage, each branch current and power and network loss, proposed to draw in systems organization and operation Various problems;Safety analysis is included in whether verification each element of power system overloads, and whether each node voltage is in allowed band Within and electricity quality evaluation it is whether qualified, i.e., checked with predetermined security constraints.If constraints is not Meet, then send alarm signal and display, the present invention to electricity quality evaluation using security constraints are determined, if electric energy matter Amount assesses unqualified then system alarm;Data analysis be exactly to database store data temporally with system requirements statistical Analysis, including report data, Various types of data trend curve etc. and shown or preserved by word, figure, color etc..
4) Power control module, includes grid-connected Electric control, isolation Electric control, fault diagnosis and energy storage, load management. In isolation Electric control, the present invention improves the quality of power supply of intelligent distributed power network by instant scheduling, for frequency of supply Monitoring and adjustment, the frequency stabilization of system is realized by the regulations to two kinds of controls of inverter;Fault diagnosis is included according to electric power The knowledge such as system trouble analysis and relay protection recognizes the device of position of components, type and the misoperation of failure.Data monitoring The data of real time data and the estimation block estimation of collection are supplied to Power control module to use, and electrical network analysis module passes through data Monitor and Power control module module is supplied to after the data analysis gathered, and electrical network analysis, Power control module and data monitoring Decision instruction can be sent to by field apparatus by communication interface according to system requirements.
EMS is based on intelligent distributed operation of power networks, and intelligent distributed power network electricity is completed jointly by types of functionality application module Power is controlled.Multiple relatively independent and simple submodule is decomposed into EMS first.Abstract to each submodule is each individual node. Each distributed power generation submodule physical node is mapped as primary element node one by one, then on node general character is refined, for each Abstract function sub-modules are corresponding function individual node.Finally, individual node is used into certain structure to complete system task Combine, recycle coordination strategy, system architecture, communication mode to realize multi-node collaboration.
Individual node is divided into two class nodes by the present invention:Intelligent distributed electric network element node substantially, participation function should Functional node.Element anode is that the physical node of each distributed power generation from intelligent distributed power network maps obtain one by one, Each TRT and load to distributed power grid carry out Electric control.It can be divided into two classes:Power supply node and load node. Power supply node is divided into again:Photovoltaic node;Energy storage device node;Thermoelectric perpetual motion machine group node.
Photovoltaic node realizes the Electric control to photovoltaic motor.The present invention considers to complete on the premise of intensity of illumination and temperature Photovoltaic array is run in maximal power tracing point, and its output power model is as follows:
Pout=VmImGAC(1-cAT)(1+b(GAC/GSTC-1))(1+aΔT)/1000GSTC
Δ T=T+0.03GAC-Tr
B=7.07 × 0.00001 × GAC
In formula:PoutFor photovoltaic array power output;VmFor photovoltaic array open-circuit voltage;ImFor photovoltaic array short circuit current flow; GACFor exposure intensity;GSTCIt is 1000W/m for the intensity of illumination of standard test condition2;T is temperature;TrFor standard test condition Under temperature be 25 DEG C;A, c are temperature power coefficient.
Energy storage device node is responsible for the Electric control to energy storage device energy storage device.Environmental information is perceived by interface and deposited Storage is in database;Partial information processing locality is realized according to demand;Energy storage device state is estimated using energy storage device power module; Acquisition information is interacted with individual node and is responded, control instruction adjustment energy storage device charge-discharge electric power is sent to field apparatus The electric voltage frequency of intelligent distributed power network is maintained to balance.
Thermoelectric perpetual motion machine group node is just activated and carried out energy-optimised when system power is not enough.
Load node is responsible for the management to load.Environmental information is perceived by interface and database is stored in;According to demand Realize partial information processing locality;Estimate loading demand;Acquisition information is interacted with individual node and is responded, to field apparatus Send switching control instruction and maintain power-balance.
The quality of power supply is weighted assessment and can obtain continuous numerical value by the electricity quality evaluation method that the present invention is used, Reduce the influence of subjective factor.The value function that is subordinate to of power quality index is determined first, then the membership values of indices are assigned Weights are given, assessment is weighted, the present invention regard weighting assessed value as electricity quality evaluation value.
The indices deviation of voltage class is divided into five grades, following membership function is used to indices:
λ=1/ (α xβ), λ is membership values;X is power quality index deviation;α and β are regulated variables;When degree of membership letter Correspond to indices deviation qualified critical value when numerical value is 0.5.Calculating obtains membership vector A=[λ1, λ2, λ3, λ4, λ5, λ6], λ16Respectively voltage deviation, frequency departure, voltage pulsation, voltage transient, harmonic distortion, the membership values of degree of unbalancedness.
Weights niIt is based on when membership values are lower, index's quality is poorer, its weights is bigger, is defined as:
Obtain vectorial N=[n1,n2,n3,n4,n5,n6]
It is δ to make electricity quality evaluation value, if there is λi<0.5, then δ=min { λi};If for any i, λi>0.5 all into Stand, then δ=NAT
The intelligent distributed power network EMS of multinode is the system based on distributed network structure, and all configuration exists functional node Master Control Center, and each element anode is distributed in the computer in each TRT location of distributed power grid, passes through communication Network interconnects functional node and each element anode, establishes database respectively in Master Control Center and each distributed end and user hands over Mutual interface carries out data storage and system monitoring.
Normally run below for bulk power grid and bulk power grid dispatch request situation, provide its electric power control strategy.
When bulk power grid is normally run, photovoltaic generation is calculated with 15min time scales, it is assumed that PmaxpvSent out for photovoltaic Electric peak power output, PlFor bearing power, PbtoFor energy storage device discharge power, PbtiFor energy storage device charge power.To protect The greatest benefit of intelligent distributed operation of power networks is demonstrate,proved, photovoltaic generation unit is run in maximum power point, thermoelectricity unit, which is in, to stop Only state.Depending on the operation conditions of energy storage device is estimated with electricity price, if electricity price is slightly higher or in par, reservoir generates electricity;If electric Valency is lower slightly, energy storage device charging.When energy storage device charges, if photovoltaic generation power exceedes loading demand and energy storage device charges Power sum is Pmaxpv> Pbti+Pl, then intelligent distributed power network is to bulk power grid power output, if being unsatisfactory for loading demand, Bulk power grid is to intelligent distributed power network power output.When energy storage device discharges, if photovoltaic generation and energy storage device discharge power Sum exceedes loading demand Pmaxpv+Pbto> Pl, then intelligent distributed power network is to bulk power grid power output, if being unsatisfactory for load needs Ask, then bulk power grid is to intelligent distributed power network power output.
When bulk power grid to intelligent distributed power network asks power output PrWhen, if meeting the request of bulk power grid schedule power i.e. Pmaxpv> Pr, energy storage device charging;If being unsatisfactory for the request of bulk power grid schedule power, energy storage device generates electricity, if being now still unsatisfactory for Ask, then thermoelectricity unit starting.If photovoltaic generation unit is in when peak power is run and is unsatisfactory for loading demand, energy storage device Generate electricity, now, if meeting the i.e. Pmax of bulk power grid schedule power requestpv+Pbto> Pr+Pl, then energy storage device adjustment is exerted oneself, if still Request is unsatisfactory for, then thermoelectricity unit starting.
Under isolation, the Electric control of power network has the Multiple Time Scales characteristic of dynamic rolling.The present invention is using will be every It is divided into hour level, minute level and second level from electric power control strategy, that is, builds odd-numbered day plan, plan and three plans of instant scheduling in day Slightly realize the Electric control of intelligent distributed power network under isolation.Odd-numbered day plan be exactly by estimate the photovoltaic generation of whole day with And loading demand, plan is that on the basis of the odd-numbered day plans, environmental change carries out generating optimization during by estimating ultrashort, i.e., in day When scheduling be in day plan on the basis of, monitor real-time status, if intelligent distributed power network situation occurred, will make immediately Adjustment in real time, it is ensured that the stable operation of intelligent distributed power network.
Odd-numbered day plans control strategy by estimating photovoltaic generation hourly and loading demand, formulates Power control module plan Slightly.
Make net load plexFor:
plex=Pmpv-Ptl
PmpvFor photovoltaic generation peak power output sum;PtlFor total load requirements.The energy storage device maximum charge power is made to be Pxin, maximum discharge power is Pxout
If plex>0:
Work as plex<PxinWhen, thermoelectricity unit does not start, and energy storage device charging, photovoltaic generation is run in maximum power point.
Work as plex>PxinWhen, thermoelectricity unit does not start, the charging of energy storage device peak power, and photovoltaic generation, which is optimized, exerts oneself.
When energy storage device is fully charged, photovoltaic generation optimization is exerted oneself.
If plex<0:
Work as plex<PxoutWhen, thermoelectricity unit does not start, and energy storage device electric discharge, photovoltaic generation is run in maximum power point.
Work as plex>PxoutWhen, thermoelectricity unit starting, energy storage device peak power charges, photovoltaic and thermoelectricity unit generating set Optimize and exert oneself.
Force modeling is optimized out to reach minimum cost of electricity-generating, due to there was only thermoelectric perpetual motion machine to three kinds of distributed power generation units Group needs fuel cost, first provides thermoelectricity unit cost of electricity-generating model:
Cd=cfT=cf(α+β·pd)
cfFor fuel oil price;T is fuel consumption;α, β are fuel coefficient;
Photovoltaic generation and energy storage device cost of electricity-generating are the maintenance cost of each system, and cost model is:
CM=∑ kiPij
It can thus be concluded that, controlling electric energy model is:
MinC=CM+Cf
kiFor operating cost coefficient;PijThe active power sent for distributed power source i units j.
It is the further correction planned to the date in intelligent distributed administration of power networks strategy to plan in day.Plan electricity in day Power control strategy is that per 15min, progress once, i.e., is implemented once per 15min in 1h, and it is base to plan electric power control strategy in day Realized in trigger condition:If the maximum power generation of each photovoltaic generation unit is more than odd-numbered day unscheduled power, each generating set Power is planned out in day and is still exerted oneself for odd-numbered day plan.If the maximum power generation that there is photovoltaic generation is less than odd-numbered day unscheduled power, EMS Start in day and plan electric power control strategy.
Plan electric power control strategy refer to the quality of power supply of foregoing distributed power generation unit node and comment in the day of the present invention Valuation.The target of realization is the quality of power supply of distributed electrical source node while ensureing that intelligent distributed electrical network economy generates electricity Assessed value is higher, and power output is more:
MinY=∑s (a × (Cij/Csum)+b×1/(QijQsum))·Pij+Dh
Csum=∑ Cij;Qsum=∑ 1/Qij, CijFor distributed power source i units j cost of electricity-generating coefficient;QijFor distribution Power supply i units j electricity quality evaluation value;A, b are the weight coefficient between cost and assessed value;PijFor distributed power source i machines Group j generated output;DhFor thermoelectricity unit fringe cost.
Instant scheduling is in day on the basis of planned dispatching, in every 15min, if situation occurs in system operation, quickly Realize the scheduling of second level.When the power quality index detected in real time is unqualified, it is possible to be break down, load change or Generating fluctuation that person's photovoltaic generation is produced due to weather reason etc., starts instant scheduling, by gathering each distribution in real time immediately Generated output and loading demand, determine energy storage device energy storage device discharge and recharge, the stable operation of system are maintained, if energy storage device The energy storage adjustment of energy storage device can not realize power-balance, you can fast shut-off can be interrupted load to achieve the goal, if electric energy matter Figureofmerit is less than a certain minimum threshold values, then the distributed power generation unit maintenance down.
In order to further reduce voltage pulsation and improve power supply capacity, the present invention is by following steps to being respectively distributed in system The coordination that formula power supply is exerted oneself controls to realize voltage-regulation.Auto-adaptive parameter state transition matrix T [k] is introduced, by busbar voltage It is embodied in the variable bound such as exert oneself of distributed power source by parameter in T [k].T [k] is continuous more with the change of iterations Newly, finally make what power distribution result met busbar voltage bound and distributed power source to go out power restriction.
When the generation voltage pulsation of intelligent distributed power network, and the active power of bulk power grid output compares for load , can be by increasing or decreasing the active power output of distributed power source, to realize voltage control when more abundant.Specifically, by with Lower distributed algorithm, what is increased or decreased needed for estimating is active, is communicated between the adjacent bus containing distributed power source And power distribution, power needed for the distributed power source on all buses is provided jointly, realize voltage control.
Voltage control strategy includes two layers of circulation, and k interior circulation iteration is included between outer circulation r and r+1.Specific steps are such as Under:
(1) when each moment r starts, according to the progress tide of exerting oneself of distributed power source in line parameter circuit value, load and system Stream calculation, calculates each node voltage value.Jacob matrixes in Load flow calculation, the communication structure set up needed for algorithm, and Calculate active state initial conversion matrix.
(2) if certain node voltage value exceeds the voltage range of defined, according at the beginning of magnitude of a voltage fluctuation carries out distributed algorithm Beginningization, calculates the active power output initial value increased or decreased needed for distributed power source.
(3) within the period (r, r+1), power restriction is gone out according to voltage rule and distributed power source, in each iteration not It is disconnected to update state transition matrix T [k], so as to change the size of distributed power source active power output.Preceding k/2 iteration does not consider distribution The capacity limit of formula power supply, only coordinates exerting oneself for each distributed power source according to node voltage value;K/2 iterative modifications power divides afterwards Go out power restriction with result with meet distributed power source.
(4) when the moment, r+1 started, the active power output result of variations of each distributed power source calculated according to previous step, The power generating value of distributed power source is adjusted, Load flow calculation is re-started, next circulation is carried out, until all node voltages all meet electricity Pressure request scope.Outer circulation number of times r0Value is sufficiently large, it is assumed that reach after maximum cycle, all node voltages can expire Afc voltage claimed range.
It is assumed that intelligent distributed power network is except with there is n bar buses in addition to the transformer node that upper level power network is connected, then coordination is controlled Make distribution of the active or idle increment of distributed power source on each bus between each node:
Δ P [k+1]=TP[k]·ΔP[k]
Δ Q [k+1]=TQ[k]·ΔQ[k]
Δ P is the active increment of each Node distribution formula power supply in formula, is the rank column vector of n × 1;
Δ Q is the idle increment of each Node distribution formula power supply, is the rank column vector of n × 1;
TP[k] is n × n rank active state transition matrixes;
TQ[k] is the idle state transition matrix of n × n ranks.
If being free of distributed power source, Δ P on bus jj[k]=0, Δ Qj[k]=0.
By construction, T is madeP[k] and TQ[k] is to go out the variable bounds such as power restriction comprising busbar voltage and distributed power source Parameter matrix, so that power distribution result meets the capacity limit requirement of voltage and distributed power source.
It should be appreciated that the above-mentioned embodiment of the present invention is used only for exemplary illustration or explains the present invention's Principle, without being construed as limiting the invention.Therefore, that is done without departing from the spirit and scope of the present invention is any Modification, equivalent substitution, improvement etc., should be included in the scope of the protection.In addition, appended claims purport of the present invention Covering the whole changes fallen into scope and border or this scope and the equivalents on border and repairing Change example.

Claims (1)

1. a kind of intelligent electric power control method based on distributed power source, it is characterised in that:
Data acquisition is carried out to each TRT of intelligent distributed power network, energy storage device and load using EMS, according to default Control strategy makes corresponding decision, and decision instruction is transferred into device controller, so that device controller is according to command adapted thereto control Distributed power generation unit processed, energy storage device and load, complete electric power and coordinate control and optimize;
The intelligent distributed power network includes photovoltaic motor, thermoelectricity unit, energy storage device, load, EMS and protective relaying device; Intelligent distributed power network is connected each unit by bus, and is connected by transformer and bulk power grid;Wherein described photovoltaic Motor realizes the tracking to solar energy and to energy storage device discharge and recharge, then connects ac bus by inverter;Photovoltaic array The scheduling that controller receives EMS is exerted oneself instruction, with the uneoupled control of the active reactive of photovoltaic generation, realizes going out for photovoltaic motor Power is adjusted;The energy storage device carries out short-duration power to system, and the discharge and recharge of energy storage device is carried out according to EMS dispatch command Management;The thermoelectricity unit sends alternating current by itself control and is directly connected with ac bus, as standby TRT, matches somebody with somebody The Electric control for closing intelligent distributed power network carries out start and stop;The load, which is divided into, can be interrupted load and can not be interrupted load, and EMS is simultaneously Implement dsm to load, preferential ensure can not be interrupted the power demand of load;The intelligent distributed power network passes through public affairs Tie point and main separator carry out realizing the two-way of energy under the switching of grid-connected and isolation two kinds of methods of operation, synchronizing mode altogether Flowing, intelligent distributed power network autonomy operation during isolation;It is commonly connected when intelligent distributed power network can not meet loading demand Point will close main separator, intelligent distributed power network is connected with bulk power grid, intelligent distributed power network now is equivalent to greatly The controllable load of power network, is powered from bulk power grid to intelligent distributed power network;The EMS detects the defeated of each distributed power unit Go out the charging and discharging state of power, energy storage device, the power of load, cell node quality of power supply information, meet service condition with And under the constraints of the electrical characteristic of energy storage physical equipment, these data are analyzed and processed, coordinate intelligent distributed electricity The work of the internal distributed power source of net and load blocks, the flowing and utilization of Intelligent Optimal distributed electrical network energy, with minimum The operating cost that works provides the electric energy for meeting required quality to user load, realizes the optimization and scheduling of system;
The quality of power supply information is estimated by following steps, it is first determined power quality index is subordinate to value function, then Membership values to indices assign weights, using weighting assessed value as electricity quality evaluation value, specifically include:
The indices deviation of voltage class is divided into five grades, following membership function is used to indices:
λ=1/ (α xβ), λ is membership values;X is power quality index deviation;α and β are regulated variables;
Correspond to the qualified critical value of indices deviation when membership function value is 0.5;
Calculating obtains membership vector A=[λ1, λ2, λ3, λ4, λ5, λ6],
λ16Respectively voltage deviation, frequency departure, voltage pulsation, voltage transient, harmonic distortion, the membership values of degree of unbalancedness;
Weights niAccording to when membership values are lower, index's quality is poorer, and its weights is bigger, is defined as:
Obtain vectorial N=[n1,n2,n3,n4,n5,n6]
It is δ to make electricity quality evaluation value, if there is λi<0.5, then δ=min { λi};If for any i, λi>0.5 all sets up, Then δ=NAT
This method also includes:Isolation electric power control strategy is divided into hour level, minute level and second level, that is, builds odd-numbered day plan, day Middle plan and three strategies of instant scheduling realize the Electric control of intelligent distributed power network under isolation;
Plan what electric power control strategy was realized based on trigger condition in the day:If the maximum power generation of each photovoltaic generation unit More than odd-numbered day unscheduled power, then it is planned out power in each generating set day and is still exerted oneself for odd-numbered day plan;If there is photovoltaic generation most Big generated output is less than odd-numbered day unscheduled power, and EMS starts in day and plans electric power control strategy, and its target is to ensure intelligent distribution While formula electrical network economy generates electricity, the electricity quality evaluation value of distributed electrical source node is higher, and power output is more:
MinY=∑s (a × (Cij/Csum)+b×1/(QijQsum))·Pij+Dh
Wherein Csum=∑ Cij;Qsum=∑ 1/Qij,
CijFor distributed power source i units j cost of electricity-generating coefficient;
QijFor distributed power source i units j electricity quality evaluation value;
A, b are the weight coefficient between cost and assessed value;
PijFor distributed power source i units j generated output;
DhFor thermoelectricity unit fringe cost.
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