CN105391065A - Reliability modeling method for running characteristics of distributed generation and energy storage device - Google Patents
Reliability modeling method for running characteristics of distributed generation and energy storage device Download PDFInfo
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- CN105391065A CN105391065A CN201510947449.3A CN201510947449A CN105391065A CN 105391065 A CN105391065 A CN 105391065A CN 201510947449 A CN201510947449 A CN 201510947449A CN 105391065 A CN105391065 A CN 105391065A
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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
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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 invention relates to a reliability modeling method for running characteristics of a distributed generation and energy storage device, and belongs to the technical field of power distribution systems. The invention makes the distributed generation and energy storage device equivalent to a combined power generation system, and aiming at the combined power generation system, two models of failure state and normal state are respectively established, the influence of the working mode of the combined power generation system is fully considered, and a foundation for analyzing the influence of the combined power generation system on the reliabilities of the power distribution systems is laid.
Description
Technical field
The present invention relates to the Reliability Modeling of a kind of distributed power generation and energy storage device operation characteristic, belong to power distribution system technology field.
Background technology
Along with expanding economy and social progress, the demand of user to electric energy constantly increases, also more and more higher to the requirement of power supply quality.Adopt the power distribution network of traditional centralized power supply system to there is the disadvantages such as power supply reliability level is low, enlarging difficulty is large also day by day to highlight.
Distributed power generation combines with traditional concentration supply power and is known as by countries in the world electric power expert is the effective means that can reduce electric grid investment and improvement expenses, reduce via net loss, improve quality of voltage, improve system reliability and flexibility.In order to reduce the adverse effect of distributed power source to power distribution network, promoting effective utilization of distributed power source, there has been proposed the concept of microgrid.The single controlled autonomous power supply system that microgrid is made up of regenerative resource distributed power generation unit, load, energy storage device and related control device.Its operational mode is flexible, has good compatibility to distributed power source.Be incorporated into the power networks period, microgrid effectively can utilize the clean reproducible energy generatings such as wind energy, solar energy, tide, reduces the dependence to fossil energy, contributes to the pressure of alleviating energy crisis and environmental pollution; When power distribution network breaks down, microgrid can improve customer power supply reliability by islet operation.The microgrid of access distribution feeder end can also reduce power distribution network via net loss and improve the quality of voltage of user.
Along with microgrid development worldwide and popularization, the access of microgrid exports the uncertain impact produced distribution network reliability to the change of distribution net work structure and micro battery own power becomes inevitable problems faced.And tradition is based on the method for evaluating reliability of single supply radial pattern distribution net work structure, because being faced with the defect that redundant search, calculation of complex, workload are large, calculate the aspect such as consuming time, the evaluation of the new distribution net reliability comprising microgrid cannot be directly applied for.
Summary of the invention
In view of the above deficiency existed, the invention provides the Reliability Modeling of a kind of distributed power generation and energy storage device operation characteristic, be conducive to the analysis of microgrid to the reliability effect of distribution system.
The invention provides the Reliability Modeling of a kind of distributed power generation and energy storage device operation characteristic, comprise the following steps:
Step 1) set up the model of load in microgrid, the load parameter of each load point is characterized by average load;
Step 2) distributed power source disperseing in microgrid to install and energy storage device equivalence are become to be arranged on a combined generating system on a physical node, and do following hypothesis:
A. suppose combined generating system autonomy and controllability all very good, its adjustment is at the right time in addition, ignores the impact of power adjustments time constant;
B. think that to be arranged on capacity of energy storing device in microgrid enough large, the electric energy that the combined generating system formed at piconet island run duration energy storage device and distributed power source provides, can workload demand be met;
C. in microgrid, the factor of the weather of each point is all identical;
D. the injecting power of each load point is uncorrelated mutually;
Step 3) sets up failure state model and the normal condition model of combined generating system.
Distributed power generation and energy storage device are equivalent to a combined generating system and consider by the present invention, malfunction and normal condition two kinds of models are set up respectively for combined generating system, take into full account the impact of the working method of combined generating system, for the reliability effect of analysis joint electricity generation system to distribution system is laid a good foundation.
Below by way of embodiment, the present invention is further elaborated.
embodiment:
The Reliability Modeling of distributed power generation provided by the invention and energy storage device operation characteristic, comprises the following steps:
Step 1) set up the model of load in microgrid, the load parameter of each load point is characterized by average load;
Load in microgrid is different according to type, can be divided into resident living load, industrial load and Commercial Load, in a power distribution system because the payload of each load point is random fluctuation, is therefore difficult to describe by simply unified Mathematical Modeling.The load parameter of each load point characterizes by average load usually, and can obtain from long-term statistics, there is certain relation between average load and peak load, the product namely by peak load and load coefficient obtains average load.
Step 2) distributed power source disperseing in microgrid to install and energy storage device equivalence are become to be arranged on a combined generating system on a physical node, and do following hypothesis:
A. suppose combined generating system autonomy and controllability all very good, its adjustment is at the right time in addition, ignores the impact of power adjustments time constant;
B. think that to be arranged on capacity of energy storing device in microgrid enough large, the electric energy that the combined generating system formed at piconet island run duration energy storage device and distributed power source provides, can workload demand be met;
C. in microgrid, the factor of the weather of each point is all identical;
D. the injecting power of each load point is uncorrelated mutually;
The exerting oneself of photovoltaic generating system in distributed power source and wind generator system affects larger by natural weather, all there is very large randomness, fluctuation and intermittence, but their power curve variation tendency is also inconsistent, occur that the moment of maximum is not identical yet separately, therefore they are combined with energy storage device and can play good complementary effect, a combined generating system can be formed, the fluctuation of level and smooth photovoltaic generation and wind power generation output, integrally improves system power supply reliability and improves the quality of power supply.
Step 3) sets up failure state model and the normal condition model of combined generating system.
Under the pattern of being incorporated into the power networks, the support of electric energy supply owing to there being bulk power grid of microgrid, the impact that the power supply continuity of load point wherein and the quality of power supply are exerted oneself by distributed power source and energy storage device is also little; And under islet operation pattern, the various power supply in microgrid and load lose the support of bulk power grid, its quality of power supply will all be ensured by combined generating system, and operating state will directly affect the power supply of microgrid internal loading.
In invention, combined generating system is integrally considered, adopt two state models, be i.e. malfunction and normal condition.Simultaneously at piconet island run duration, whole electrical energy demands of load are all supplied by combined generating system, therefore, combined generating system exert oneself and difference between workload demand will directly affect microgrid electric power thus supplied.Exerting oneself and the ratio of load according to combined generating system in microgrid, namely power generation load rate equal 1 and the situation that is less than 1 operating state during micro-grid system islet operation is analyzed.
Above embodiment is only in order to illustrate technical scheme of the present invention and unrestricted, other amendments that those of ordinary skill in the art make technical scheme of the present invention or equivalently to replace, only otherwise depart from the spirit and scope of technical solution of the present invention, all should be encompassed in right of the present invention.
Claims (1)
1. the invention provides the Reliability Modeling of a kind of distributed power generation and energy storage device operation characteristic, it is characterized in that: comprise the following steps:
Step 1) set up the model of load in microgrid, the load parameter of each load point is characterized by average load;
Step 2) distributed power source disperseing in microgrid to install and energy storage device equivalence are become to be arranged on a combined generating system on a physical node, and do following hypothesis:
A. suppose combined generating system autonomy and controllability all very good, its adjustment is at the right time in addition, ignores the impact of power adjustments time constant;
B. think that to be arranged on capacity of energy storing device in microgrid enough large, the electric energy that the combined generating system formed at piconet island run duration energy storage device and distributed power source provides, can workload demand be met;
C. in microgrid, the factor of the weather of each point is all identical;
D. the injecting power of each load point is uncorrelated mutually;
Step 3) sets up failure state model and the normal condition model of combined generating system.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510947449.3A CN105391065B (en) | 2015-12-17 | 2015-12-17 | The Reliability Modeling of distributed power generation and energy storage device operation characteristic |
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| CN201510947449.3A CN105391065B (en) | 2015-12-17 | 2015-12-17 | The Reliability Modeling of distributed power generation and energy storage device operation characteristic |
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| CN105391065A true CN105391065A (en) | 2016-03-09 |
| CN105391065B CN105391065B (en) | 2018-04-10 |
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Citations (5)
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| US7860702B1 (en) * | 2002-09-18 | 2010-12-28 | Peter B. Evans | Assessing distributed energy resources for the energynet |
| CN102437571A (en) * | 2011-11-09 | 2012-05-02 | 南方电网科学研究院有限责任公司 | Physical modeling system of wind/light/storage system |
| CN102541621A (en) * | 2011-11-30 | 2012-07-04 | 中国电力科学研究院 | Simulation equivalent method of wind-photovoltaics-energy storage joint power generation system |
| CN103514571A (en) * | 2013-10-22 | 2014-01-15 | 国家电网公司 | Load curve decomposition based load modeling method for commercial load and resident load |
| CN104991161A (en) * | 2015-06-08 | 2015-10-21 | 西安交通大学 | Doubly-fed wind power generator stator winding inter-turn short circuit modeling and feature extraction method |
-
2015
- 2015-12-17 CN CN201510947449.3A patent/CN105391065B/en active Active
Patent Citations (5)
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|---|---|---|---|---|
| US7860702B1 (en) * | 2002-09-18 | 2010-12-28 | Peter B. Evans | Assessing distributed energy resources for the energynet |
| CN102437571A (en) * | 2011-11-09 | 2012-05-02 | 南方电网科学研究院有限责任公司 | Physical modeling system of wind/light/storage system |
| CN102541621A (en) * | 2011-11-30 | 2012-07-04 | 中国电力科学研究院 | Simulation equivalent method of wind-photovoltaics-energy storage joint power generation system |
| CN103514571A (en) * | 2013-10-22 | 2014-01-15 | 国家电网公司 | Load curve decomposition based load modeling method for commercial load and resident load |
| CN104991161A (en) * | 2015-06-08 | 2015-10-21 | 西安交通大学 | Doubly-fed wind power generator stator winding inter-turn short circuit modeling and feature extraction method |
Non-Patent Citations (1)
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| 张梅等: "大型风光联合发电系统建模及故障特性研究", 《电气应用》 * |
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Inventor after: Huang Chunguang Inventor after: Guo Jinsong Inventor after: Huang Jianyang Inventor after: Ran Jinwen Inventor after: Yu Miaojie Inventor after: Yu Xiaosong Inventor before: Guo Jinsong Inventor before: Chen Xiaoping Inventor before: Xuan Feixiang Inventor before: Zhou Bo Inventor before: Chen Mengxia |
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