CN109934728A - A kind of heterogeneous Multiple Time Scales dynamic modelling method that can flow energy hinge under failure - Google Patents
A kind of heterogeneous Multiple Time Scales dynamic modelling method that can flow energy hinge under failure Download PDFInfo
- Publication number
- CN109934728A CN109934728A CN201910178811.3A CN201910178811A CN109934728A CN 109934728 A CN109934728 A CN 109934728A CN 201910178811 A CN201910178811 A CN 201910178811A CN 109934728 A CN109934728 A CN 109934728A
- Authority
- CN
- China
- Prior art keywords
- energy
- hinge
- heterogeneous
- multiple time
- time scales
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Aerodynamic Tests, Hydrodynamic Tests, Wind Tunnels, And Water Tanks (AREA)
Abstract
The present invention discloses a kind of heterogeneous Multiple Time Scales dynamic modelling method that can flow energy hinge under failure, it is related to integrated energy system safe and stable operation field, the following steps are included: considering that multipotency stream time constant is different first, integrated energy system Multiple Time Scales differential and partial differential equation are established, Multiple Time Scales energy hinge dynamic model is obtained；Then it according to electrical power system transient energy function, obtains considering electricity, air and heat coupling integrated energy system transient energy function, using transient energy function analysing energy hinge to the response characteristic of heterogeneous energy flow disturbance；Finally consider that the heterogeneous forked tunnel that can flow energy function variation and integrated energy system after failure, the transient fault of analysing energy hinge pass through characteristic.The present invention is adapted to energy source interconnection development trend, and the accident analysis of multipotency stream and control to integrated energy system are most important.
Description
Technical field
The present invention relates to a kind of heterogeneous Multiple Time Scales dynamic modelling methods that can flow energy hinge under failure, belong to synthesis
Energy resource system safe and stable operation field.
Background technique
Multipotency stream is that integrated energy system is different from one of key feature of smart grid, is the important development of energy field
Direction.The safe and highly efficient operation of integrated energy system be unable to do without the management of multipotency stream energy, but domestic in the research of this aspect at present
It is still still in infancy outside, still lacks systematic further investigation, research space is big.Compared with traditional power grid energy management,
Integrated energy system multipotency stream energy management mainly faces the challenge such as the coupling of multipotency stream, Multiple Time Scales.
In traditional energy system, various energy couplings are not tight, relatively independent between the operation of different energy sources system, such as electricity
Net, heat supply network, natural gas grid etc. belong to different company's management and operation, cause energy use efficiency overall not high.
Integrated energy system is made of the heterogeneous energy stream of multiclass, indicates that multiple kinds of energy is mutually converted, couples and acted on.Heterogeneous energy
Flow model is different, and property difference is big, the modeling had nothing in common with each other, analysis method.In view of the coupling between multipotency stream, strap
The system performance variation come is more and more obvious, and is also become increasingly complex, and modeling, analysis and the control method of the single energy streaming system of tradition are
Through not can be used directly；Simultaneously consider multipotency flowable state Multiple Time Scales characteristic, need to study occur transient fault when
The different othernesses that can flow response characteristic on Multiple Time Scales, and the mutual of multipotency streaming system dynamic process is studied on this basis
It influences.
It therefore, can be with the present invention relates to a kind of heterogeneous Multiple Time Scales dynamic modelling method that can flow energy hinge under failure
For integrated energy system multipotency stream accident analysis and control, the effect of multipotency stream collaboration is played, it is unfavorable to reduce coupling bring
It influences.
Summary of the invention
In view of the deficiencies of the prior art, the present invention " a kind of heterogeneous Multiple Time Scales dynamic that can flow energy hinge under failure
Modeling method " establishes the energy hinge dynamic model of Multiple Time Scales；Consider that electricity, air and heat couple integrated energy system transient state energy
Flow function, response characteristic of the analysing energy hinge to heterogeneous energy flow disturbance；Consider energy hinge in heterogeneous energy after capable of flowing failure
Function variation and forked tunnel, the transient fault of analysing energy hinge pass through characteristic.
The present invention adopts the following technical scheme: a kind of heterogeneous Multiple Time Scales dynamic modeling that can flow energy hinge under failure
Method, this method comprises the following steps:
Step 1: establishing the energy hinge dynamic model of Multiple Time Scales；
Step 2: considering that electricity, air and heat couple integrated energy system transient energy function, analysing energy hinge can be flowed to heterogeneous
The response characteristic of disturbance；
Step 3: considering energy hinge in heterogeneous energy function variation and forked tunnel after capable of flowing failure, analysing energy hinge
Transient fault pass through characteristic.
Detailed description of the invention
Fig. 1 is inventive algorithm flow chart.
Specific embodiment
The present invention the following steps are included:
Step 1: establishing the energy hinge dynamic model of Multiple Time Scales；
In integrated energy system, Real-Time Scheduling can be realized compared to electric energy, there is thermal energy thermal inertia to be difficult to realize supply and demand reality
Shi Pingheng, gas distributing system have slow motion step response, so that the time constant of heating power, gas burning system is far longer than electric system,
Therefore it is different to comprehensively consider multipotency stream time constant, establishes energy hinge Multiple Time Scales differential and PDE model, describes
The dynamic characteristic of integrated energy system.
1) electrical power system transient model
E in formulad' and eq' it is respectively d axis and q axis set end voltage；X and x ' is respectively stator leakage reactance and transient state reactance；Td0′
For Stator transient open circuit time constant；S and w is respectively rotor slippage and angular speed；TjFor rotor inertia time constant；MmAnd Me
Respectively machine torque and electromagnetic torque.
2) natural gas network dynamic model
P in formulaij(t, x) and Mij(t, x) is the pressure and flow at the pipeline location x that t moment is L for length；c
Indicate the spread speed of sound in natural gas；The cross-sectional area of A expression pipeline；F indicates coefficient of friction；D indicates pipe diameter.
3) thermal inertia dynamic model
C is thermal capacity in formula；R is container thermal resistance；T (t) and TaIt (t) is respectively t moment hot water temperature and environment temperature；ce
For the specific heat capacity of water；Q (t) is t moment water speed rate；TdFor hot water preferred temperature；TinFor the cold water temperature for entering system；Pin
It (t) is t moment heating power.
Step 2: considering that electricity, air and heat couple integrated energy system transient energy function, analysing energy hinge can be flowed to heterogeneous
The response characteristic of disturbance；
Conventional electric power power system transient stability case study uses transient energy function method, that is, solves two basic problems:
(1) transient energy function of system is constructed；(2) system transient modelling energy function value is sought, following four steps are generally comprised:
1) suitable transient energy function V (x) is defined；
2) the value V of fault clearance moment system transient modelling energy function V (x) is calculatedcr；
3) the critical value V of the transient energy function V (x) of corresponding fault type is foundcl；
4) to the differential equation after failure from 0~tcrDefinite integral is carried out, the critical of integral result and transient energy function is made
Value VclIt is equal, so as to find out fault critical mute time tcr。
Work as Vcl<VcrWhen, system is in transient stability；Otherwise, system transient modelling is unstable；In addition Vcl=VcrWhen, system is critical
Stablize.
Similarly the transient energy function method of electric system can be promoted the use of integrated energy system by us, be considered
Electricity, air and heat couple integrated energy system transient energy function, further with transient energy function analysing energy hinge to heterogeneous energy
The response characteristic of flow disturbance.
Step 3: considering energy hinge in heterogeneous energy function variation and forked tunnel after capable of flowing failure, analysing energy hinge
Transient fault pass through characteristic；
Similar with electric system, energy hinge transient fault passes through characteristic, i.e., the feelings to break down in integrated energy system
Multipotency stream does not depart from integrated energy system and continues to run under condition, until trouble shooting, system restores normal even running
State.Fork, i.e., integrated energy system Parameters variation pass through some critical value when, system qualitative state (such as: stability,
System topology) occur suddenly change inevitable phenomenon.
First on the basis of step 2, when integrated energy system breaks down, consideration is analyzed with transient energy function method
Then the variation of integrated energy system energy considers the forked tunnel of integrated energy system, thus comprehensive analysis energy hinge
Transient fault passes through characteristic.
Embodiments above is merely to illustrate the present invention, and not limitation of the present invention, in relation to the common of technical field
Technical staff can also make a variety of changes and modification without departing from the spirit and scope of the present invention, therefore all
Equivalent technical solution also belongs to protection category of the invention.
Claims (4)
1. a kind of heterogeneous Multiple Time Scales dynamic modelling method that can flow energy hinge under failure, it is characterised in that:
Step (1) establishes the energy hinge dynamic model of Multiple Time Scales；
Step (2) considers that electricity, air and heat couple integrated energy system transient energy function, and analysing energy hinge disturbs heterogeneous energy stream
Dynamic response characteristic；
Step (3) considers that energy hinge can flow energy function variation and forked tunnel after failure heterogeneous, analysing energy hinge
Transient fault passes through characteristic.
2. the heterogeneous Multiple Time Scales dynamic modelling method that can flow energy hinge under failure of one kind according to claim 1,
It is characterized in that, establishing the energy hinge dynamic model of Multiple Time Scales in the step 1): the consideration multipotency stream time is normal first
Number is different, establishes integrated energy system Multiple Time Scales differential and partial differential equation, finally obtains Multiple Time Scales energy hinge
Dynamic model.
3. the heterogeneous Multiple Time Scales dynamic modelling method that can flow energy hinge under failure of one kind according to claim 1,
It is characterized in that, considering that electricity, air and heat couple integrated energy system transient energy function, analysing energy hinge in the step 2)
To the response characteristic of heterogeneous energy flow disturbance: first according to electrical power system transient energy function, obtaining considering that electricity, air and heat coupling are comprehensive
Energy resource system transient energy function is closed, it is finally special using response of the transient energy function analysing energy hinge to heterogeneous energy flow disturbance
Property.
4. the heterogeneous Multiple Time Scales dynamic modelling method that can flow energy hinge under failure of one kind according to claim 1,
It is characterized in that, the step 3) considers energy hinge in heterogeneous energy function variation and forked tunnel after capable of flowing failure, analysis
The transient fault of energy hinge passes through characteristic, on the basis of step 2), considers the heterogeneous energy function variation that can be flowed after failure,
Consider further that the forked tunnel of integrated energy system, the transient fault of analysing energy hinge pass through characteristic.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910178811.3A CN109934728A (en) | 2019-03-11 | 2019-03-11 | A kind of heterogeneous Multiple Time Scales dynamic modelling method that can flow energy hinge under failure |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910178811.3A CN109934728A (en) | 2019-03-11 | 2019-03-11 | A kind of heterogeneous Multiple Time Scales dynamic modelling method that can flow energy hinge under failure |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109934728A true CN109934728A (en) | 2019-06-25 |
Family
ID=66986965
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910178811.3A Pending CN109934728A (en) | 2019-03-11 | 2019-03-11 | A kind of heterogeneous Multiple Time Scales dynamic modelling method that can flow energy hinge under failure |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109934728A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113327044A (en) * | 2021-06-10 | 2021-08-31 | 国家电网有限公司 | Collaborative operation quality analysis system of energy hub |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009042581A1 (en) * | 2007-09-24 | 2009-04-02 | Edsa Micro Corporation | Real-time stability indexing for intelligent energy monitoring and management of electrical power network system |
| CN107069774A (en) * | 2017-04-01 | 2017-08-18 | 华北电力大学 | Power system energy function preferably and transient stability margin assessment system and method |
-
2019
- 2019-03-11 CN CN201910178811.3A patent/CN109934728A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009042581A1 (en) * | 2007-09-24 | 2009-04-02 | Edsa Micro Corporation | Real-time stability indexing for intelligent energy monitoring and management of electrical power network system |
| CN107069774A (en) * | 2017-04-01 | 2017-08-18 | 华北电力大学 | Power system energy function preferably and transient stability margin assessment system and method |
Non-Patent Citations (4)
| Title |
|---|
| SHENG CHEN等: ""Steady state and transient simulation for electricity-gas integrated energy systems by using convex optimisation"", 《THE INSTITUTION OF ENGINEERING AND TECHNOLOGY GENERATION, TRANSMISSION & DISTRIBUTION》 * |
| 仲悟之等: ""电力系统微分代数方程模型的暂态电压稳定性分析"", 《中国电机工程学报》 * |
| 徐宪东: ""电/气/热微型能源系统的建模、仿真与能量管理研究"", 《《中国博士学位论文全文数据库工程科技Ⅱ辑》》 * |
| 王伟亮等: ""考虑天然气网络状态的电力–天然气区域综合能源系统稳态分析"", 《中国电机工程学报》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113327044A (en) * | 2021-06-10 | 2021-08-31 | 国家电网有限公司 | Collaborative operation quality analysis system of energy hub |
| CN113327044B (en) * | 2021-06-10 | 2023-11-21 | 国家电网有限公司 | Collaborative operation quality analysis system of energy hub |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111222213B (en) | Dynamic simulation method and device for thermodynamic network | |
| CN106447113B (en) | A kind of multizone integrated energy system operation method based on optimal operation model | |
| WO2020062633A1 (en) | N-1 static safety analysis method for integrated energy system | |
| WO2019071763A1 (en) | Method for estimating state of electro-thermal coupling system in combination with dynamic characteristics of pipeline | |
| WO2019075871A1 (en) | State estimation method for stable operation of heat supply network based on bilateral equivalent model | |
| CN111061986A (en) | Load flow calculation method of thermoelectric integrated energy system with multiple operation modes | |
| CN110728032B (en) | Quick power flow calculation method for electricity-heat interconnection comprehensive energy system considering ring network | |
| CN109492325A (en) | A kind of multipotency coupled system tidal current analysis method based on extension energy hub | |
| CN109255489A (en) | A kind of electric-thermal interconnection integrated energy system likelihood energy flow calculation methodologies based on Cumulants method | |
| Li et al. | Gradient descent iterative method for energy flow of integrated energy system considering multiple modes of compressors | |
| Zhu et al. | Integrated dispatch for combined heat and power with thermal energy storage considering heat transfer delay | |
| CN115062555A (en) | Integrated energy system exergy flow direct calculation method based on unbalanced node exergy | |
| CN110532642A (en) | A kind of calculation method that integrated energy system probability can flow | |
| Tao et al. | Resilience enhancement of integrated electricity-gas-heat urban energy system with data centres considering waste heat reuse | |
| CN109934728A (en) | A kind of heterogeneous Multiple Time Scales dynamic modelling method that can flow energy hinge under failure | |
| CN113886761A (en) | Energy efficiency analysis and evaluation method for comprehensive energy system | |
| CN113255105A (en) | Load flow calculation method of electric and thermal comprehensive energy system with bidirectional coupling network structure | |
| Dai et al. | Modeling and analysis of electrical heating system based on entransy dissipation-based thermal resistance theory | |
| CN109241677A (en) | A kind of integrated energy system RLC transient Model can flow emulation mode and device | |
| TWI271496B (en) | Feedback simulation method applied to the ventilation system | |
| Yuan et al. | A multi-energy flow calculation method considering multiple energy coupling operation modes | |
| CN109918795A (en) | A kind of energy hinge canonical matrix Steady state modeling method for taking into account physical property and reliability | |
| CN110705066B (en) | Dynamic simulation method for gas-electricity coupling park comprehensive energy system based on projection integration | |
| CN113690891A (en) | Analytic method-based power-heat interconnection comprehensive energy system probability power flow determination method | |
| Yao et al. | A transient thermodynamic model of district heating network for operational optimization of the energy integration system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20190625 |
|
| WD01 | Invention patent application deemed withdrawn after publication |