CN104915900A - Loading-zone-block-based site selection and volume determination method of distributed power supply - Google Patents

Loading-zone-block-based site selection and volume determination method of distributed power supply Download PDF

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Publication number
CN104915900A
CN104915900A CN201510401041.6A CN201510401041A CN104915900A CN 104915900 A CN104915900 A CN 104915900A CN 201510401041 A CN201510401041 A CN 201510401041A CN 104915900 A CN104915900 A CN 104915900A
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CN
China
Prior art keywords
distributed power
power source
load
power supply
block
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CN201510401041.6A
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Chinese (zh)
Inventor
李婷
李达
魏俊
陈博
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国网四川省电力公司经济技术研究院
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Priority to CN201510401041.6A priority Critical patent/CN104915900A/en
Publication of CN104915900A publication Critical patent/CN104915900A/en

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Abstract

The invention discloses a loading-zone-block-based site selection and volume determination method of a distributed power supply. The method is characterized in that the method comprises the following steps that: an area where a distribution network is located is divided into a plurality of loading zone blocks according to a residential load, a commercial load, and an industrial load; an environmental factor and a historical load situation of each loading zone block are obtained; according to the environmental factors and the historical load situations, a photovoltaic power output of the distributed power supply is calculated; on the basis of the photovoltaic power output and the minimum distributed power supply installation cost, an installation position and a volume of the distributed power supply are calculated by using a formula: minf1=delta Tmax sigma 32(i=1) D(xi) (lambda ex SDG(xi)) + sigma 32 (i=1) (mSDG(xi)), wherein the delta represents an electricity price, Tmax expresses the maximum load utilization hour value, the SDG(xi) expresses the volume of the distributed power supply, the D(xi) represents a situation whether the distributed power supply is installed in the loading zone block and is a variable of 0 and 1, the lambda expresses a power factor, the ex expresses an unemployed rate of the distributed power supply, and the x expresses the installation position.

Description

Based on the addressing constant volume method of the distributed power source of load block
Technical field
The invention belongs to the distributed power source in power distribution network, be specially the addressing constant volume method in the distributed power source based on load block.
Technical field
Climate change and energy problem propose the active demand of low carbon development to countries in the world.The low-carbon economy be the theme with Renewable Energy Development, economize energy has become future development main flow.Along with China's expanding economy, also increasing to electricity needs, to traditional energy as oil, the exhaustive exploitation of coal causes increasing environmental pollution.
So distributed power source gets the attention as a kind of new forms of energy, but because common distributed power source has randomness and undulatory property, when being introduced into power distribution network, the network loss that the load bus that susceptibility is higher causes is larger, current distributed power source is more consider in distribution network loss, normal operation when introducing, and whether the energy that have ignored distributed power source completely and provide meets this region normally uses, also have ignored this block of cost simultaneously, after causing most of distributed power source to drop into, be all in lossing state.
Summary of the invention
For deficiency of the prior art, a kind of addressing constant volume method providing distributed power source based on load block according to local load service condition and specific environment selecting factors distributed power source capacity and installation site of the present invention.
In order to reach foregoing invention object, the technical solution used in the present invention is:
There is provided a kind of addressing constant volume method of the distributed power source based on load block, it comprises the following steps:
Power distribution network region is divided into several load blocks according to resident load, Commercial Load and industrial load;
Obtain the environmental factor in each load block and historical load situation;
According to environmental factor and historical load situation, the photovoltaic of Computation distribution formula power supply is exerted oneself;
Exert oneself according to photovoltaic minimum with distributed power source installation cost, the installation site of Computation distribution formula power supply and capacity:
min f 1 = ∂ T m a x Σ i = 1 32 D ( x i ) ( λe x S D G ( x i ) ) + Σ i = 1 32 ( mS D G ( x i ) )
Wherein, for electricity price; T maxfor busy hour utilizes number; for the capacity of distributed power source; D (x i) representing in load block whether distributed power source is installed, it is 0,1 variable; λ is power factor; e xfor the non-utilization rate of distributed power source, x represents installation site, and m. is distributed power source unit erected cost.
Beneficial effect of the present invention is: by power distribution network region is divided into some load blocks, and installation site and the capacity of distributed power source is reasonably selected according to the environmental factor of load block position and the concrete situation of historical load service condition, the underload that distributed power source can be avoided like this to provide is to support this load block or to occur that load that distributed power source provides is crossed Sheng and caused energy dissipation; Meanwhile, the cost that the Rational choice of distributed power source capacity can also reduce when distributed power source is installed drops into.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the addressing constant volume method of distributed power source based on load block.
Embodiment
Below the specific embodiment of the present invention is described; so that those skilled in the art understand the present invention; but should be clear; the invention is not restricted to the scope of embodiment; to those skilled in the art; as long as various change to limit and in the spirit and scope of the present invention determined, these changes are apparent, and all innovation and creation utilizing the present invention to conceive are all at the row of protection in appended claim.
The process flow diagram of the addressing constant volume method of the distributed power source based on load block is shown with reference to figure 1, Fig. 1; As shown in Figure 1, the specific implementation of the addressing constant volume method of this distributed power source comprises following step:
Power distribution network region is divided into several load blocks according to resident load, Commercial Load and industrial load; Because civilian, commercial and commercial power aspect there is very large difference, can reasonably be utilized in order to ensure the distributed power source being arranged on power distribution network region, therefore this programme technology adopts above-mentioned several mode to divide power distribution network region.
Obtain the environmental factor in each load block and historical load situation; Wherein, environmental factor is the wind-force size of each load block, intensity of illumination and geographic position.Wind-force size and intensity of illumination can be obtained by local weather bureau, and geographic position can directly be obtained by map.Historical load situation is in particular the service condition of each load block inherent the past period, can directly obtain from Utilities Electric Co..
According to environmental factor and historical load situation, the photovoltaic calculating distributed power source is exerted oneself; Can determine can bring great electricity by wind-force size and intensity of illumination in this load block by environmental factor; By historical load situation, the service condition of this load block electricity can be determined, by the electricity of generation and the contrast of consumes power, can determine that the photovoltaic of the distributed power source that this area installs is exerted oneself.
Be further that suppose can bring 2MW energy by wind-force size and intensity of illumination in this load block, if local resident can only consume 1.5MW energy, so distributed power source also can only choose 1.5MW capacity; If the energy that local resident consumes is 2.5MW, due to environmental factor factor, distributed power source can only produce 2MW energy at most, and so distributed power source also can only choose the capacity of 2MW.
Exert oneself according to photovoltaic minimum with distributed power source installation cost, the installation site of Computation distribution formula power supply and capacity:
min f 1 = ∂ T m a x Σ i = 1 32 D ( x i ) ( λe x S D G ( x i ) ) + Σ i = 1 32 ( mS D G ( x i ) )
Wherein, for electricity price; T maxfor busy hour utilizes number; for the capacity of distributed power source; D (x i) representing in load block whether distributed power source is installed, it is 0,1 variable; λ is power factor; e xfor the non-utilization rate of distributed power source, x represents that installation site m. is distributed power source unit erected cost.
Once after the capacity of distributed power source determines, it can be arranged on the optional position of load block; Due to reasons such as landform, if the installation position selection of distributed power source is improper, distributed power source process of runing can be caused to occur situation about losing, so in one embodiment of the invention, when calculating installation site and the capacity of cloth power supply, genetic algorithm is adopted to obtain distributed power source installation site best in described load block and capacity.
In this programme, the concrete solution procedure of genetic algorithm is:
Right min f 1 = ∂ T m a x Σ i = 1 32 D ( x i ) ( λe x S D G ( x i ) ) + Σ i = 1 32 ( mS D G ( x i ) ) Start to carry out genetic manipulation:
Determine initial population (being namely determine one group of randomizing scheme):
Random setting means is adopted to set Population Size (scheme number), generate a prescription case number, each scheme is verified, meet constraint condition, calculate qualified scheme, otherwise, remove, thus obtaining one group of scheme satisfied condition, this prescription case is called its initial population (i.e. initial scheme) by us.
Intersect, make a variation (scheme is recombinated):
After we obtain initial scheme, we just calculate in scheme, an optimum scheme (the distributed power source capacity namely scheme obtained and position are brought in model, calculate the economic worth of scheme)
Then we recombinate to scheme, and the scale-of-two by each scheme exchanges, and obtain new a series of schemes, and in these schemes, we get back an optimal case, by this scheme and scheme comparison before, compare.
Repeatedly carry out the operation of previous step, until the scheme of discovery is always constant, so we become the installation site and the capacity that obtain Optimal Distribution formula power supply.
The electric current of the power distribution network in each load block and voltage all can have a rated power, after adding distributed power source, distributed power source can fill into portion of energy, this will inevitably make the voltage and current of power distribution network in each load block raise, so when choosing distributed power source, its capacity not only will meet the requirement that photovoltaic is exerted oneself and the minimum installation cost of distributed power source installation cost is minimum, be arranged on after in load block until it, in this region, the electric current of power distribution network and voltage are preferably less than or equal to rated current and rated voltage, and the capacity of distributed power source place circuit is less than or equal to the rated capacity of this circuit.
Below with a sample calculation analysis, the operating cost of distributed power source when whether considering overloaded partition is described:
Adopt IEEE33 node to verify result herein, node data is as table 1 institute.
Optimum configurations: wherein be 0.75 yuan often to spend; T maxfor 8760h, λ are 0.85.Blower fan unit installation cost is 100,000 yuan; Photo-voltaic power supply unit installation cost is 100,000/KW.
Genetic parameter is arranged: maximum iteration time is 200, and Population Size is 200, and crossing-over rate is 0.99, and aberration rate is 0.1; Wherein, distributed node to be selected is 1,4,7,17,22,27,29,30.
Table 1 basic load data and type
Loading zone block models considered by table 2
Loading zone block models do not considered by table 3
When considering loading zone block message, its result is as shown in table 2.When not considering load block, its erected cost and distributed power source utilization factor will not change, will as shown in Table 3; Contrast known, when considering loading zone block message, its operating cost reduces; When not considering, operating cost can be higher, do not meet actual conditions; It can thus be appreciated that cost when significantly can reduce the installation of distributed power source when considering load block drops into.

Claims (4)

1., based on the addressing constant volume method of the distributed power source of load block, it is characterized in that, comprise the following steps:
Power distribution network region is divided into several load blocks according to resident load, Commercial Load and industrial load;
Obtain the environmental factor in each load block and historical load situation;
According to environmental factor and historical load situation, the photovoltaic of Computation distribution formula power supply is exerted oneself;
Exert oneself according to photovoltaic minimum with distributed power source installation cost, the installation site of Computation distribution formula power supply and capacity:
minf 1 = ∂ T m a x Σ i = 1 32 D ( x i ) ( λe x S D G ( x i ) ) + Σ i = 1 32 ( mS D G ( x i ) )
Wherein, for electricity price; T maxfor busy hour utilizes number; for the capacity of distributed power source; D (x i) representing in load block whether distributed power source is installed, it is 0,1 variable; λ is power factor; e xfor the non-utilization rate of distributed power source, x represents installation site, and m is distributed power source unit erected cost.
2. the addressing constant volume method of the distributed power source based on load block according to claim 1, it is characterized in that, when calculating installation site and the capacity of cloth power supply, genetic algorithm is adopted to obtain distributed power source installation site best in described load block and capacity.
3. the addressing constant volume method of the distributed power source based on load block according to claim 1 and 2, it is characterized in that, described environmental factor is wind-force size, intensity of illumination and geographic position.
4. the addressing constant volume method of the distributed power source based on load block according to claim 3, it is characterized in that, after load block installs distributed power source, its electric current and voltage are all less than or equal to rated current and rated voltage, and the capacity of distributed power source place circuit is less than or equal to the rated capacity of this circuit.
CN201510401041.6A 2015-07-09 2015-07-09 Loading-zone-block-based site selection and volume determination method of distributed power supply CN104915900A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107591794A (en) * 2016-07-08 2018-01-16 南京理工大学 Active distribution network source storage capacity configuration optimizing method based on load classification
CN108599235A (en) * 2018-04-20 2018-09-28 国网湖北省电力有限公司宜昌供电公司 A kind of constant volume method that distributed photovoltaic networks
CN111030091A (en) * 2019-11-28 2020-04-17 新奥数能科技有限公司 Method and system for determining installed electric capacity of distributed renewable energy
CN111162517A (en) * 2019-11-22 2020-05-15 国网四川省电力公司经济技术研究院 Distributed power supply location and volume fixing method considering source-load correlation and containing electric automobile

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102623989A (en) * 2012-03-28 2012-08-01 湖南大学 Method for optimization and configuration of intermittent distributed generation (DG)
CN103034912A (en) * 2012-12-20 2013-04-10 诸暨市供电局 Distributed power supply site selection constant volume optimized method
CN103353979A (en) * 2013-05-31 2013-10-16 国家电网公司 Optimization method for locating and sizing of distributed power
CN103514487A (en) * 2013-07-15 2014-01-15 国家电网公司 Load forecasting method of power distribution network with distributed power supply
JP2014095941A (en) * 2012-11-07 2014-05-22 Hitachi Ltd Photovoltaic power generation output estimation device
WO2014135219A1 (en) * 2013-03-08 2014-09-12 Nec Europe Ltd. System and method for distributing electrical power

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102623989A (en) * 2012-03-28 2012-08-01 湖南大学 Method for optimization and configuration of intermittent distributed generation (DG)
JP2014095941A (en) * 2012-11-07 2014-05-22 Hitachi Ltd Photovoltaic power generation output estimation device
CN103034912A (en) * 2012-12-20 2013-04-10 诸暨市供电局 Distributed power supply site selection constant volume optimized method
WO2014135219A1 (en) * 2013-03-08 2014-09-12 Nec Europe Ltd. System and method for distributing electrical power
CN103353979A (en) * 2013-05-31 2013-10-16 国家电网公司 Optimization method for locating and sizing of distributed power
CN103514487A (en) * 2013-07-15 2014-01-15 国家电网公司 Load forecasting method of power distribution network with distributed power supply

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
薛涛等: "《基于遗传算法的分布式电源选址与定容》", 《科技视界》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107591794A (en) * 2016-07-08 2018-01-16 南京理工大学 Active distribution network source storage capacity configuration optimizing method based on load classification
CN108599235A (en) * 2018-04-20 2018-09-28 国网湖北省电力有限公司宜昌供电公司 A kind of constant volume method that distributed photovoltaic networks
CN108599235B (en) * 2018-04-20 2021-03-09 国网湖北省电力有限公司宜昌供电公司 Constant volume method for distributed photovoltaic network access
CN111162517A (en) * 2019-11-22 2020-05-15 国网四川省电力公司经济技术研究院 Distributed power supply location and volume fixing method considering source-load correlation and containing electric automobile
CN111030091A (en) * 2019-11-28 2020-04-17 新奥数能科技有限公司 Method and system for determining installed electric capacity of distributed renewable energy

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