CN103488820A - Distributed power source planning method based on long-process time sequence simulation - Google Patents
Distributed power source planning method based on long-process time sequence simulation Download PDFInfo
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Abstract
The invention provides a distributed power source planning method based on long-process time sequence simulation. The method comprises the following steps: collecting historical data; building a simulation model and optimizing a simulation result; obtaining a joining scheme of a distributed power source. According to the method, the long-process time sequence simulation is performed based on one-year load and resource time sequence values, so that the obtained joining scheme of the distributed power source has the advantages that annual transmission losses of a power grid of the power supply area of the distributed power source are relatively small, and the annual average voltage is relatively high.
Description
Technical field
The present invention relates to a kind of method of power planning technical field, specifically relate to a kind of distributed power source planing method based on the emulation of growth process sequential.
Background technology
The on-position that distributed power source is different and capacity, will affect system short-circuit electric current, REACTIVE POWER/VOLTAGE distribution, voltage stability etc.Reasonably access capacity and on-position can effectively improve distribution network voltage, reduce grid net loss.Otherwise, if arrange unreasonablely, will affect the safe and stable operation of electrical network.Therefore, the preferred arrangement of distributed power source and Capacity Selection, be the matter of utmost importance that will solve the distributed power source planning stage.
The access of distributed power source, should be when considering resource (wind energy, sun power etc.), and to reduce system losses, the raising node voltage is optimization aim, promotes security and the economy of operation of power networks.Capacity and the position of the capacity of loading in the grid net loss after distributed power source is grid-connected, voltage distribution situation and electrical network and distribution, distributed power source, and topology of networks all is closely related.The distributed power generation allocation optimum that loss minimization is target of take proposed in document is at present analyzed, all for the controlled distributed power source flexibly of exerting oneself, distributed power source being exerted oneself and loaded distribute is considered as constant or has carried out a large amount of simplification, and does not consider that distributed power source is exerted oneself and the randomness of load fluctuation.Because the network load fluctuation ratio is larger, and exerting oneself of distributed power source also fluctuate, so adopt capacity and the addressing optimization of carrying out distributed power source day based on certain static value constantly or typical case to analyze, in process for a long time, is not necessarily optimum.
Therefore, need to provide a kind of real data of wind energy, solar energy resources and the load based at least continuous a year to carry out the emulation of growth process sequential, and then carry out the method for distributed power source Optimizing Site Selection.
Summary of the invention
For overcoming above-mentioned the deficiencies in the prior art, the invention provides a kind of distributed power source planing method based on the emulation of growth process sequential, the method is carried out the emulation of growth process sequential by the load based on a year, resource time sequential value, acquisition distributed power source power supply area electrical network year network loss amount less, the distributed power source access scheme that the annual node voltage is relatively high.
Realize that the solution that above-mentioned purpose adopts is:
A kind of distributed power source planing method based on the emulation of growth process sequential, its improvements are: said method comprising the steps of: I, collection historical data;
II, set up realistic model optimization Simulation result;
The access scheme of III, acquisition distributed power source.
Further, described step I comprises: obtain the interior historical data of unit interval of distributed power source planning power supply area, setting-up time resolution; The time series of history of forming data.
Further, described historical data comprises resource data and load data; Described resource data comprises wind power resources data and solar energy resources data; Described load data comprises the load data distribution situation of every feeder line; Described resource data and described load data time are upper corresponding.
Further, described Step II comprises:
S201, by simulation software, set up containing the power distribution network realistic model, connect simulation software and Optimization Software, by Optimization Software, build optimized algorithm;
S202, the load annual mean that enters the described transformer station of distributed power source according to pickup are determined the initial access scheme of distributed power source of transformer station;
S203, the time series of resource data and load data input simulation software is carried out to the emulation of growth process sequential, obtain the distributed power source simulation result;
S204, acquisition distributed power source simulation result, input Optimization Software by simulation result, according to optimization aim, optimizes access scheme;
S205, repeating step S203 and S204, obtain the distributed power source access scheme that meets optimization aim in described Step II I.
Further, described simulation result comprises that distributed power source is to accessing year active power loss value and year node voltage value of transformer station to power supply area;
Described simulation result is by ASCII document or database document storage, and described Optimization Software obtains described ASCII document or database document by described connecting interface.
Further, described access scheme comprises on-position and the access capacity of distributed power source.
Further, described step S201 comprises the following steps:
S2011, simulation software set up the realistic model containing power distribution network according to described historical data;
S2012, Optimization Software build optimized algorithm according to described realistic model;
S2013, set up the connecting interface of simulation software and Optimization Software by dynamic link library;
Further, described optimization aim comprises following situation: if take economy as main, assurance year network loss is less is primary goal, takes into account the annual node voltage; If take power supply quality as main, guarantee that the annual node voltage is higher for primary goal, takes into account year network loss less.
Compared with prior art, the present invention has following beneficial effect:
(1) method of the present invention overcomes and carries out the capacity of distributed power source and addressing optimization day based on certain static value constantly or typical case and analyze in growth process the not necessarily shortcoming of optimum, utilize growth process sequential emulation mode to realize optimum access scheme, obtain more efficiently, accurately the optimization access scheme of distributed power source.
(2) method of the present invention can be applicable to distributed power source access distribution network planning, reduces year network loss in the rear power supply area of distributed power source access.
(3) method of the present invention can be applicable to distributed power source access distribution network planning, improves annual node voltage in the rear power supply area of distributed power source access.
(4) method of the present invention has taken into full account the undulatory property of the undulatory property of distributed new generated output and randomness, load, obtains optimum distributed power source access scheme, can improve electrical network and distributed power source operation stability and economy.
(5) method of the present invention has overcome simulation software and can't realize more complicated Optimal Control System, and Optimization Software can't carry out the shortcoming that simulation analysis calculates fast, realization combines two kinds of softwares, thereby better carries out the optimization planning of distributed power source.
(6) method of the present invention has proposed the data-interface of simulation software (as DIgSILENT/PowerFactory) and Optimization Software (as MATLAB), two kinds of softwares can be combined, and realizes the serial executable operations of two kinds of softwares, increases work efficiency.
The accompanying drawing explanation
Fig. 1 is that the distributed power source access scheme is determined process flow diagram;
Fig. 2 is the genetic algorithm process flow diagram;
The connection window that Fig. 3 is MATLAB and DIgSILENT/PowerFactory;
Fig. 4 optimizes programme based on DIgSILENT/PowerFactory and MATLAB.
Embodiment
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described in further detail.
As shown in Figure 1, Fig. 1 is that the distributed power source access scheme is determined process flow diagram; Based on growth process sequential the Realization of Simulation distributed power source planing method, comprise the following steps:
The historical data of step 1, processing power supply area.Specifically comprise following:
S101, the up-to-date data of collection power supply area, described data comprise resource data and each point load data, wherein load data refine to the load distribution of every feeder line of power distribution network; The temporal resolution of resource data and load data is 15 minutes.Wherein, obtain the described load data of power supply area in electric power system dispatching organization data storehouse, in meteorological department or built power supply owner, locate the Gains resources data
S102, according to local network load planning situation, obtain distributed power source planning level year each point load prediction data.
S103, according to historical data, form resource data, power supply area each point load data year sequence, wherein resource and load data are corresponding in time.
Step 2, set up realistic model, optimize the distributed power source access scheme.Specifically comprise following:
S201, in the simulation software that can simultaneously possess the functions such as reactive voltage, trend, the quality of power supply, short-circuit current and the emulation of growth process sequential, build detailed power supply area power supply, rack, load model, this realistic model reflects its load distribution situation.
S202, build the distributed power source realistic model that can react power supply characteristic in simulation software.
S203, be optimized code write in Optimization Software; The access scheme that optimization object is distributed power source (being on-position and access capacity), optimization aim is regional power grid year loss minimization, distributed power source scheme that the annual node voltage is the highest.
S204, determine distributed power source transformer station to be accessed, determine the initial access scheme of distributed power source of each transformer station according to the load annual mean of each access transformer station.
S205, will resource and load year sequence data substitution simulation software in carry out the emulation of growth process sequential, obtain simulation result, be that distributed power source accesses year active power loss of power supply area and the influence value of node voltage, wherein the idle regulating power of distributed power source is determined according to the actual set situation.
S206, according to the simulation result obtained, the access scheme of distributed power source is further optimized, be about to be calculated in simulation result substitution Optimization Software, determine further access scheme according to optimization aim, on-position and the access capacity of Optimization Software output distributed power source.
Optimization aim comprises following situation: if take economy as main, assurance year network loss is less is primary goal, takes into account the annual node voltage; If take power supply quality as main, guarantee that the annual node voltage is higher for primary goal, takes into account year network loss less.
S207, to further definite distributed power source access scheme, repeating step S205 and S206, finally obtain taking into account the distributed power source access scheme of year network loss and year node voltage.
Step 3, acquisition meet the distributed power source access scheme of optimization aim.
In a kind of embodiment of the present invention, use the simulation software as DIgSILENT/PowerFactory, analysis software as electric system has following characteristics, can carry out static state, transient state, growth process sequential simulation calculation, and simulation calculation speed is fast, network topology structure is clear, and electric network composition is with famous value representation, and the engineering application is convenient; For discrete component, as generating model, load model etc., its inner control logic can be passed through the software inhouse language compilation; Can't complete the control system of more complicated, as can't be automatically realized optimizing and revising of distributed power source capacity and position.
In a kind of embodiment of the present invention, use the Optimization Software as MATLAB, this Optimization Software has following characteristics: execution efficiency is lower, causes general MATLAB simulation calculation program (as matpower) Simulation speed comparison slow; The power distribution network data of input need to be converted into perunit value, and data are inputted with document form; In distributed electrical source optimization planning is calculated, can solve optimum installation site and capacity by intelligent optimization algorithm (as genetic algorithm etc.); Can't see clearly the information such as topological structure of electrical network, when the electric network composition more complicated, workload is large and application is inconvenient.
DIgSILENT/PowerFactory and MATLAB are combined with, and DIgSILENT/PowerFactory carries out growth process sequential simulation calculation, and MATLAB is optimized simulation result, obtains optimum distributed power source scheme.
In a kind of embodiment of the present invention, in order to realize the exchanges data of DIgSILENT/PowerFactory and MATLAB, used the external data interface DGS-ExIF (DIgSILENT/PowerFactory External InterFace, DGS-ExIF) of DIgSILENT/PowerFactory software at this.The implementation method of exchanges data comprises the following steps:
S0001, DIgSILENT, by calling the digexdyn.dll(dynamic link library, characterize annexation), the simulation result in simulation example is exported through data-interface.
S0002, simulation result can be with the form storages of ASCII document or database after data-interface output.
S0003, outside optimized algorithm software MATLAB obtain the real-time Output rusults of example from ASCII document or database.
S0004, outside optimized algorithm software MATLAB are optimized calculating according to default optimized algorithm and real-time Output rusults data, draw distributed power source on-position and the access capacity of optimization, and the optimal control result is inserted in corresponding ASCII document or database.
S0005, external data interface obtain optimum results from corresponding ASCII document or database, i.e. the on-position of distributed power source and access capacity.
S0006, optimal control result are handed down to the DIgSILENT execution with the form of event event.
Whole flow process is that serial is carried out, and the internal clocking ElmClock by DIgSILENT is controlled.
In a kind of embodiment of the present invention, the combination of simulation software and Optimization Software comprises the following steps:
Write the optimized algorithm program in S1001, MATLAB environment, as genetic algorithm.
S1002, write the interface routine of MATLAB and DIgSILENT/PowerFactory, the window that connects, link together MATLAB and DIgSILENT/PowerFactory.
S1003, build network topology structure in DIgSILENT/PowerFactory, comprise electrical network network model and distributed electrical source model, for carrying out continuous simulation, calculate and prepare.
S1004, give initial value and conditions setting, the distributed power source of a year is exerted oneself, carried out in load data input DIgSILENT/PowerFactory software the sequential simulation calculation of continuous a year, the results such as output active power loss value and node voltage value.
S1005, active power loss and the node voltage DIgSILENT/PowerFactory exported by data-interface are optimized in MATLAB; Judge whether to reach the iterations of optimized algorithm, as met the directly optimum installation site of output and capacity, do not meet and just return to step S004, until meet, enter step S006.
S1006, acquisition reach the distributed power source access scheme of optimization aim.
Finally should be noted that: above embodiment is only for technical scheme that the application is described but not to the restriction of its protection domain; although with reference to above-described embodiment, the application is had been described in detail; those of ordinary skill in the field are to be understood that: those skilled in the art still can carry out all changes, revise or be equal to replacement to the embodiment of application after reading the application; but these changes, revise or be equal to replacement, within the claim protection domain all awaited the reply in application.
Claims (8)
1. the distributed power source planing method based on the emulation of growth process sequential, is characterized in that: said method comprising the steps of: I, collection historical data;
II, set up realistic model optimization Simulation result;
The access scheme of III, acquisition distributed power source.
2. a kind of distributed power source planing method based on the emulation of growth process sequential as claimed in claim 1, it is characterized in that: described step I comprises: obtain the historical data in unit interval of distributed power source planning power supply area, setting-up time resolution; The time series of history of forming data.
3. a kind of distributed power source planing method based on the emulation of growth process sequential as claimed in claim 2, it is characterized in that: described historical data comprises resource data and load data; Described resource data comprises wind power resources data and solar energy resources data; Described load data comprises the load data distribution situation of every feeder line; Described resource data and described load data time are upper corresponding.
4. a kind of distributed power source planing method based on the emulation of growth process sequential as claimed in claim 1, it is characterized in that: described Step II comprises:
S201, by simulation software, set up containing the power distribution network realistic model, connect simulation software and Optimization Software, by Optimization Software, build optimized algorithm;
S202, determine the initial access scheme of distributed power source of transformer station according to the load annual mean of the described transformer station of distributed power source to be accessed;
S203, the time series of resource data and load data input simulation software is carried out to the emulation of growth process sequential, obtain the distributed power source simulation result;
S204, acquisition distributed power source simulation result, input Optimization Software by simulation result, according to optimization aim, optimizes access scheme;
S205, repeating step S203 and S204, obtain the distributed power source access scheme that meets optimization aim in described Step II I.
5. a kind of distributed power source planing method based on the emulation of growth process sequential as claimed in claim 4 is characterized in that: described simulation result comprise distributed power source to access transformer station a year active power loss value and year node voltage value to power supply area;
Described simulation result is by ASCII document or database document storage, and described Optimization Software obtains described ASCII document or database document by described connecting interface.
6. a kind of distributed power source planing method based on the emulation of growth process sequential as claimed in claim 4, it is characterized in that: described access scheme comprises on-position and the access capacity of distributed power source.
7. a kind of distributed power source planing method based on the emulation of growth process sequential as claimed in claim 4 is characterized in that:
Described step S201 comprises the following steps:
S2011, simulation software set up the realistic model containing power distribution network according to described historical data;
S2012, Optimization Software build optimized algorithm according to described realistic model;
S2013, set up the connecting interface of simulation software and Optimization Software by dynamic link library.
8. a kind of distributed power source planing method based on the emulation of growth process sequential as claimed in claim 4, it is characterized in that: described optimization aim comprises following situation: if take economy as main, assurance year network loss is less is primary goal, takes into account the annual node voltage; If take power supply quality as main, guarantee that the annual node voltage is higher for primary goal, takes into account year network loss less.
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| CN111756075A (en) * | 2020-06-29 | 2020-10-09 | 国网经济技术研究院有限公司 | Method for designing and testing power distribution system examples containing distributed power supply |
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