CN109255194A - A kind of electric-thermal interconnection integrated energy system photovoltaic consumption analysis method containing P2H - Google Patents
A kind of electric-thermal interconnection integrated energy system photovoltaic consumption analysis method containing P2H Download PDFInfo
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Abstract
The invention discloses a kind of, and the electric-thermal interconnection integrated energy system photovoltaic containing P2H dissolves analysis method, it include: that (1) establishes electric-thermal interconnection integrated energy system model, comprising: electric power system model, therrmodynamic system hydraulic model, therrmodynamic system thermodynamic model, CHP unit model and P2H model；(2) probabilistic model including photovoltaic power output and electric, thermic load stochastic variable is established；(3) integrated energy system model, computing system energy stream are interconnected according to the electric-thermal that step (1) is established；(4) probabilistic model established according to step (2), is arranged different conversion ratio v, assesses influence of the P2H to electric system and therrmodynamic system energy stream respectively, i.e. the photovoltaic of assessment P2H dissolves potentiality.The present invention has validity and practicability.
Description
Technical field
The present invention relates to integrated energy system field more particularly to a kind of comprehensive energy of electric-thermal interconnection containing P2H of providing multiple forms of energy to complement each other
Source system photovoltaic dissolves analysis method.
Background technique
With the rapid development of economy, the energy, environmental problem become increasingly conspicuous, how to push based on renewable energy
Green, low-carbon, the construction of clean energy system are Chinese or even whole world most countries strategic choices.However, by can be again
Raw energy randomness and intermittent influence, Chinese renewable energy consumption problem highlights, and only relies on and excavate existing electric power
The potentiality of internal system, it is difficult to walk out renewable energy consumption predicament.For this purpose, needing to introduce integrated energy system theory and analysis
Method deeply excavates integrated energy system renewable energy and dissolves potentiality.
Integrated energy system generally covers the energy such as integrated power supply, gas supply, heating, cooling supply, hydrogen supply and electrified traffic
System and relevant communication and information infrastructure.Wherein, electric-thermal interconnection integrated energy system is with the fastest developing speed at present.
Electricity, which turns hot (Power-to-Heat, P2H), can be difficult to the photovoltaic dissolved power output and be converted into thermal energy to be supplied to heat supply network for power grid, for point
The consumption of the renewable photovoltaic of cloth and electric-thermal interconnection integrated energy system synthetic operation provide new opportunities.P2H include heat pump,
Electric boiler and heat accumulation mechanism etc..
Currently, being the European Countries of representative with Denmark and Germany, mainly go out from the technical feasibility of P2H and economy point
Hair conducts a research, and most based on deterministic model, does not fully consider the uncertainty of distribution type renewable energy.With
Effect of the P2H in terms of renewable energy consumption increasingly highlights, and needs to introduce in electric-thermal interconnection integrated energy system random
The photovoltaic consumption potentiality of P2H are quantitatively evaluated in analysis method.
Summary of the invention
Goal of the invention: in view of the problems of the existing technology the present invention, provides a kind of comprehensive energy of electric-thermal interconnection containing P2H
Source system photovoltaic dissolves analysis method.
Technical solution: the electric-thermal interconnection integrated energy system photovoltaic of the present invention containing P2H dissolves analysis method packet
It includes:
(1) establish electric-thermal interconnection integrated energy system model, comprising: electric power system model, therrmodynamic system hydraulic model,
Therrmodynamic system thermodynamic model, CHP unit model and P2H model；
(2) probabilistic model including photovoltaic power output and electric, thermic load input variable is established；
(3) integrated energy system model, computing system energy stream are interconnected according to the electric-thermal that step (1) is established；
(4) probabilistic model established according to step (2), is arranged different conversion ratio v, assesses P2H respectively to electric system
Potentiality are dissolved with the photovoltaic of the influence of therrmodynamic system energy stream, i.e. assessment P2H, wherein the conversion ratio v is having for P2H consumption
The ratio between function power and photovoltaic active power output.
Further, the step (1) specifically includes:
(1-1) describes electric power system model using AC Ioad flow model are as follows:
In formula: P, Q are the active power and reactive power of node；Y is node admittance matrix；For node voltage phasor；
(1-2) establishes therrmodynamic system hydraulic model are as follows:
Flow continuity equation: AHM=mq
Circuit pressure head equation: BHhf=0
Head loss equation: hf=Km | m |
In formula: AHFor therrmodynamic system node-branch network incidence matrix；M is therrmodynamic system pipeline flow；mqFor injection section
The flow of point；BHFor therrmodynamic system circuit-branch loop incidence matrix；hfFor the head loss as caused by pipe friction；K is pipe
The resistance coefficient in road；
(1-3) establishes therrmodynamic system thermodynamic model are as follows:
Node caloric equation: H=Cpmq(Ts-T0)
Pipe temperature landing equation:
Node mixing temperature equation: (∑ mout)Tout=∑ (minTin)
In formula: H is the heat that thermic load consumes or heat source provides；CpFor the specific heat capacity of water；TsFor heat supply temperature, T0It is defeated
Temperature out；TstartAnd TendThe respectively temperature of pipeline beginning and end hot water；TaFor environment temperature；λ is the heat transfer system of pipeline
Number；L is duct length；M is pipeline flow；moutAnd minRespectively flow out and inject the flow of node；ToutAnd TinRespectively flow
Out and injection node hot water temperature；
(1-4) establishes CHP unit model are as follows:
In formula:And cmRespectively determine the electricity power output of hotspot stress CHP unit, heat power output and determines hotspot stress； And czThe respectively electricity power output, heat power output and change hotspot stress of change hotspot stress CHP unit；ηeTo become hotspot stress CHP unit
Condensation efficiency；FinFor fuel input rate；
(1-5) establishes P2H model are as follows:
In formula: ηhpFor heat pump electric conversion efficiency；PhpAnd HhpThe active power and corresponding heat of respectively heat pump consumption go out
Power；ηbFor electric boiler electric conversion efficiency PbAnd HbThe respectively active power of electric boiler consumption and corresponding heat power output.
Further, the step (2) specifically includes:
(2-1) establishes the probabilistic model of photovoltaic power output are as follows:
In formula: f (PPV) it is photovoltaic plant active power output PPVProbability density function；α and β is the shape ginseng of Beta distribution
Number；PPV、PPV,maxFor the practical active power output of photovoltaic plant and maximum active power output, Γ () indicates Gamma function；
(2-2) establishes the probabilistic model of electricity, thermic load are as follows:
In formula: f (Pload) and f (Hload) it is respectively electric load active-power PloadWith thermic load HloadProbability density letter
Number；WithThe respectively expectation and standard deviation of electric load；WithThe respectively expectation and standard deviation of thermic load.
Further, the step (3) specifically includes:
(3-1) generates the sample matrix for meeting the input variable of related condition based on Nataf transformation；
(3-2) interconnects integrated energy system model according to the electric-thermal that step (1) is established, to sample each in sample matrix
Point uses Monte Carlo simulation approach computing system energy stream.
Further, step (3-1) specifically includes:
Input stochastic variable is sampled, sample matrix is formed, by changing putting in order for sampled value, makes sample moment
The related coefficient of battle array is pressed each row element of sample matrix close to the correlation matrix of input stochastic variable
Sequential matrix re-starts arrangement, to obtain final sample matrix.
Further, step (3-2) specifically includes:
Integrated energy system model foundation Newton-Raphson approach update equation is interconnected according to the electric-thermal that step (1) obtains:
In formula: θ and V is respectively the amplitude and phase angle of Electric Power System Node Voltage；Δ W is input variable correction amount；Δ X is
State variable correction amount；Δ P, Δ Q respectively indicate the active correction amount of electric system, idle correction amount；Δ H, Δ T, Δ m distinguish table
Show therrmodynamic system heat correction amount, temperature adjustmemt amount, pipeline flow correction amount；J is Jacobian matrix, by electric power submatrix Je, electricity
Heater battle array Jeh, thermoelectricity submatrix Jhe, heating power submatrix JheComposition:
Monte Carlo simulation is carried out to sample point each in sample matrix according to the Newton-Raphson approach update equation,
To obtain the energy stream of electric-thermal interconnection integrated energy system, electric-thermal interconnection each state variable of integrated energy system can be obtained
Probability statistics information.
The utility model has the advantages that compared with prior art, the present invention its remarkable advantage is:
1) renewable energy consumption is widened integrated energy system field by the present invention, and electric-thermal interconnects integrated energy system
Power grid can be difficult to the photovoltaic dissolved power output and be converted into thermal energy and be supplied to heat supply network by middle P2H, be the consumption of distributed type renewable photovoltaic
And electric-thermal interconnection integrated energy system synthetic operation provides new opportunities.
2) present invention provides a kind of electric-thermal interconnection integrated energy system photovoltaic consumption analysis method containing P2H, becomes in input
Measurer has the occasion of randomness and correlation that can effectively assess electric-thermal interconnection integrated energy system operation characteristic, from
And the renewable energy consumption potentiality of electric-thermal interconnection integrated energy system are deeply excavated, walk out renewable energy consumption predicament.
Detailed description of the invention
Fig. 1 is the Electrothermal Properties of CHP unit of the present invention；
Fig. 2 is the Electrothermal Properties of heat pump of the present invention and CHP unit association system；
Fig. 3 is present invention test example topology diagram；
Fig. 4 is influence of the P2H of the present invention to grid nodes VI voltage magnitude；
Fig. 5 is P2H of the present invention on the desired influence of heat-net-pipeline flow；
Fig. 6 is influence of the P2H of the present invention to 4 flow of heat-net-pipeline.
Specific embodiment
A kind of electric-thermal interconnection integrated energy system photovoltaic consumption analysis method containing P2H is present embodiments provided, it is specific to wrap
It includes:
Step 1: establishing electric-thermal interconnection integrated energy system model, comprising: electric power system model, therrmodynamic system waterpower mould
Type, therrmodynamic system thermodynamic model, CHP unit model and P2H model.Specifically includes the following steps:
Step 101: the AC Ioad flow model description of electric power system model classics, the power expression of node are as follows:
In formula: P, Q are the active power and reactive power of node；Y is node admittance matrix；For node voltage phasor.
Step 102: heat supply network hydraulic model can by Flow continuity equation, circuit pressure head equation and head loss equation Lai
Description, it may be assumed that
AHM=mq (2)
BHhf=0 (3)
hf=Km | m | (4)
In formula: AHFor heat supply network node-branch network incidence matrix；M is heat-net-pipeline flow；mqFor the flow for injecting node；
BHFor heat supply network circuit-branch loop incidence matrix；hfFor the head loss as caused by pipe friction；K is the resistance coefficient of pipeline,
Depend greatly on the diameter of pipeline.
Step 103: the solution of thermodynamic model relates generally to following three kinds of temperature, heat supply temperature TsIndicate that hot water injects node
Temperature before, output temperature T0Indicate temperature when hot water stream egress, backheat temperature TrIndicate hot water stream egress and and its
The hot water mixing of his pipeline imports the temperature after recovery channel.Heat supply network thermodynamic model can be by node caloric equation, pipeline temperature
Landing equation and node mixing temperature equation are spent to describe, it may be assumed that
H=Cpmq(Ts-T0) (5)
(∑mout)Tout=∑ (minTin) (7)
In formula: H is the heat that thermic load consumes or heat source provides；CpFor the specific heat capacity of water；TstartAnd TendRespectively pipeline
The temperature of beginning and end hot water；TaFor environment temperature；λ is the coefficient of heat conduction of pipeline；L is duct length；moutAnd minRespectively
For the flow for flowing out and injecting node；ToutAnd TinRespectively flow out and inject the temperature of the hot water of node.
Step 104: whether Fig. 1 is the Electrothermal Properties of CHP unit, change according to its hotspot stress, can be divided into and determine hotspot stress (such as
Gas turbine, reciprocating internal combustion engine) and become hotspot stress (such as extraction steam turbine) two types, expression formula is as follows:
In formula:And cmRespectively determine the electricity power output of hotspot stress CHP unit, heat power output and determines hotspot stress； And czThe respectively electricity power output, heat power output and change hotspot stress of change hotspot stress CHP unit；ηeTo become the cold of hotspot stress CHP unit
Solidifying efficiency；FinFor fuel input rate.Wherein, cmFor a steady state value, and czThe value changed for one, but it is practical some when
In section, czIt remains unchanged.
Step 105:P2H includes heat pump, electric boiler, heat accumulation mechanism etc..Heat pump is a kind of to make heat from low using high potential
Position heat source flows to the energy saver of high-order heat source.Electric boiler directly converts electrical energy into thermal energy.The two electric conversion efficiency difference
Are as follows:
In formula: ηhpFor heat pump electric conversion efficiency；PhpAnd HhpThe active power and corresponding heat of respectively heat pump consumption go out
Power；ηbFor electric boiler electric conversion efficiency PbAnd HbThe respectively active power of electric boiler consumption and corresponding heat power output.
In general, the efficiency eta of heat pumphpIt can achieve 3, and the efficiency eta of energy-efficient electric boilerbIt only up to reach
98%.On the other hand, the investment construction expense of heat pump is relatively high, and its application limitation (such as low level heat energy capacity limit,
Territory restriction etc.) significantly reduce the flexibility of electric heating conversion.And electric boiler installation is simple, control is flexible and maintenance replacement side
Just.Therefore, improvement system heat power output is often used in combination in heat pump with CHP unit, as shown in Figure 2.Wherein, γ is having for heat pump consumption
Function power accounts for the percentage of CHP unit electricity power output；PsourceAnd HsourceThe respectively electricity of heat pump and CHP unit association system, heat
Power output.Then cooperation co-generation unit meets thermal load demands and increases paddy period electricity consumption electric boiler under electricity price guidance, right
Electrothermal load carries out peak valley coordination.
Step 2: establishing the probabilistic model including photovoltaic power output and electric, thermic load stochastic variable.Specifically include following step
It is rapid:
Step 201: photovoltaic power output meets Beta distribution, probability density function are as follows:
In formula: f (PPV) it is photovoltaic plant active power output PPVProbability density function；With the shape ginseng that β is Beta distribution
Number；PPV,maxFor the practical active power output of photovoltaic plant and maximum active power output.Photovoltaic power generation unit is controlled using constant power factor.
Assuming that the power factor of photovoltaic power generation unit is 1, then its idle power output is 0.
Step 202: in general, normal distribution can preferably describe the prediction error of electricity, thermic load, Load Probability is close
Degree function is respectively as follows:
In formula: f (Pload) and f (Hload) it is respectively electric load active-power PloadWith thermic load HloadProbability density letter
Number；WithThe respectively expectation and standard deviation of electric load；WithThe respectively expectation and standard deviation of thermic load.Electricity
Net load or burden without work follows burden with power to change according to power factor is determined.
Step 3: integrated energy system model, computing system energy stream are interconnected according to the electric-thermal that step 1 is established.Specific packet
Include following steps:
Step 301: the sample matrix for meeting the input variable of related condition is generated based on Nataf transformation.
Input stochastic variable is sampled, sample matrix is formed, by changing putting in order for sampled value, makes sample moment
The related coefficient of battle array is pressed each row element of sample matrix close to the correlation matrix of input stochastic variable
Sequential matrix re-starts arrangement, to obtain final sample matrix.
Step 302: Monte Carlo simulation approach computing system energy stream is used to each sample point.
Electric-thermal interconnects integrated energy system Energy Flow Analysis and is based on electric power system tide equation (1) and therrmodynamic system waterpower-
Heat equation (2)~(7), and it is included in flowing (8)~(11) of energy between system.Newton-Raphson approach update equation is as follows:
In formula: θ and V is respectively the amplitude and phase angle of Electric Power System Node Voltage；Δ W is input variable correction amount；Δ X is
State variable correction amount；J is Jacobian matrix, by electric power submatrix Je, electric heating submatrix Jeh, thermoelectricity submatrix Jhe, heating power submatrix JheGroup
At:
It is assumed that Monte Carlo simulation n times, then can solve n times electric-thermal based on formula (15)~(16) and interconnect integrated energy system
Energy stream can obtain the probability statistics information of electric-thermal interconnection each state variable of integrated energy system according to n times analog result.
Step 4: different conversion ratio v is arranged in the probabilistic model established according to step 2, assesses P2H respectively to electric system
Potentiality are dissolved with the photovoltaic of the influence of therrmodynamic system energy stream, i.e. assessment P2H, wherein the conversion ratio v is having for P2H consumption
The ratio between function power and photovoltaic active power output.
Simulating, verifying, system topological knot are carried out so that Bali's electric-thermal containing photovoltaic interconnects integrated energy system as an example below
Structure is as shown in Figure 3.Assuming that electricity, thermic load are desired for its predicted value, standard deviation is the shape ginseng of desired 5%, Beta distribution
Number are as follows: α=β=0.9.Power grid and heat supply network are coupled by CHP unit, as shown in table 1.CHP1 is to determine hotspot stress gas turbine,
CHP2 is to become hotspot stress extraction steam turbine, and CHP3 is to determine hotspot stress reciprocating internal combustion engine.CHP1 and CHP2 are respectively as power grid
With the balance nodes of heat supply network.
The coupled relation of table 1 power grid and heat supply network
Photovoltaic power output and power system load have strong randomness, and the Network Security Constraints of electric system cannot expire sometimes
Foot, especially when photovoltaic power output reaches peak value and power system load meets with low ebb, the out-of-limit probability of power system network is significant
It improves.It is general to abandon a part of production capacity by abandoning light at present according to power industry relevant policies, to meet the network of electric system
Security constraint.The P2H that certain capacity is configured in the electric-thermal interconnection integrated energy system containing photovoltaic, relative to original abandoning light
Part power grid can be difficult to the photovoltaic dissolved power output and be converted into thermal energy by policy.
Cumulative distribution function (the cumulative distribution of grid nodes vi voltage magnitude
Function, CDF) it is as shown in Figure 4 with the variation of v.As it can be seen that configuring one in the electric-thermal interconnection integrated energy system containing photovoltaic
The P2H of constant volume can be effectively reduced the probability of power grid out-of-limit, and abandon light for consumption and provide space；On the other hand, with
Clean the access of renewable photovoltaic power generation, it is possible to reduce the non-regeneration energy of system consumes, and promotes renewable energy system
Building.
Therrmodynamic system load equally has randomness, and during peak heat load, CHP unit will face immense pressure.Especially
It is to work as power system load to meet with low ebb, and therrmodynamic system load reaches peak value, relies solely on the electric heating power output of adjustment CHP unit
Sometimes it is difficult to meet system service requirement.It is converted using electric boiler and abandons the resulting effective heat power output of light balance heat supply network load nearby,
Heating network pressure can be effectively relieved.
The expectation of heat-net-pipeline flow is as shown in Figure 5 with the variation of v.With the raising of v, downward trend is presented in pipeline flow
(especially heavy-load pipeline).By taking pipeline 4 as an example, pipeline flow CDF is as shown in Figure 6 with the variation of v.V is higher, pipeline flow standard
Poor (standard deviations, SDs) is smaller, can effectively avoid pipeline overload.As it can be seen that P2H be heat supply network bring it is additional
Effective thermal output balances heat supply network load nearby, the trend distribution of heat supply network is improved, so as to effectively stabilize the wave of pipeline flow
It is dynamic, and reduce its out-of-limit risk.
It is above-mentioned simulation results show herein the validity of mentioned method and and practicability, P2H can promote distribution can be again
The consumption of third contact of a total solar or lunar eclipse volt, promotes the building of renewable energy system.In addition, P2H can be used as the potential preventive and corrective control plan of system
Slightly.By adjusting the conversion ratio v of system, the kurtosis of photovoltaic power output and electricity, thermic load can be preferably matched, system is enhanced
Safety, and promote electric-thermal interconnection integrated energy system collaboration optimization operation.
It is only used as the preferred embodiment of the present invention above, is not intended to limit the scope of the invention, it is all to utilize this
Equivalent structure made by description of the invention and accompanying drawing content perhaps equivalent process transformation or is directly or indirectly used in other phases
The technical field of pass, is included within the scope of the present invention.
Claims (6)
1. a kind of electric-thermal interconnection integrated energy system photovoltaic containing P2H dissolves analysis method, it is characterised in that this method comprises:
(1) electric-thermal interconnection integrated energy system model is established, comprising: electric power system model, therrmodynamic system hydraulic model, heating power
System thermodynamic model, CHP unit model and P2H model；
(2) probabilistic model including photovoltaic power output and electric, thermic load input variable is established；
(3) integrated energy system model, computing system energy stream are interconnected according to the electric-thermal that step (1) is established；
(4) probabilistic model established according to step (2), is arranged different conversion ratio v, assesses P2H respectively to electric system and heat
The photovoltaic of the influence of Force system energy stream, i.e. assessment P2H dissolves potentiality, wherein the conversion ratio v is the wattful power of P2H consumption
The ratio between rate and photovoltaic active power output.
2. the electric-thermal interconnection integrated energy system photovoltaic according to claim 1 containing P2H dissolves analysis method, feature
Be: the step (1) specifically includes:
(1-1) describes electric power system model using AC Ioad flow model are as follows:
In formula: P, Q are the active power and reactive power of node；Y is node admittance matrix；For node voltage phasor；
(1-2) establishes therrmodynamic system hydraulic model are as follows:
Flow continuity equation: AHM=mq
Circuit pressure head equation: BHhf=0
Head loss equation: hf=Km | m |
In formula: AHFor therrmodynamic system node-branch network incidence matrix；M is therrmodynamic system pipeline flow；mqFor injection node
Flow；BHFor therrmodynamic system circuit-branch loop incidence matrix；hfFor the head loss as caused by pipe friction；K is pipeline
Resistance coefficient；
(1-3) establishes therrmodynamic system thermodynamic model are as follows:
Node caloric equation: H=Cpmq(Ts-T0)
Pipe temperature landing equation:
Node mixing temperature equation: (∑ mout)Tout=∑ (minTin)
In formula: H is the heat that thermic load consumes or heat source provides；CpFor the specific heat capacity of water；TsFor heat supply temperature, T0For output temperature
Degree；TstartAnd TendThe respectively temperature of pipeline beginning and end hot water；TaFor environment temperature；λ is the coefficient of heat conduction of pipeline；L
For duct length；M is pipeline flow；moutAnd minRespectively flow out and inject the flow of node；ToutAnd TinRespectively outflow and
Inject the temperature of the hot water of node；
(1-4) establishes CHP unit model are as follows:
In formula:And cmRespectively determine the electricity power output of hotspot stress CHP unit, heat power output and determines hotspot stress；
And czThe respectively electricity power output, heat power output and change hotspot stress of change hotspot stress CHP unit；ηeFor the condensation effect for becoming hotspot stress CHP unit
Rate；FinFor fuel input rate；
(1-5) establishes P2H model are as follows:
In formula: ηhpFor heat pump electric conversion efficiency；PhpAnd HhpThe respectively active power of heat pump consumption and corresponding heat power output；ηb
For electric boiler electric conversion efficiency PbAnd HbThe respectively active power of electric boiler consumption and corresponding heat power output.
3. the electric-thermal interconnection integrated energy system photovoltaic according to claim 2 containing P2H dissolves analysis method, feature
Be: the step (2) specifically includes:
(2-1) establishes the probabilistic model of photovoltaic power output are as follows:
In formula: f (PPV) it is photovoltaic plant active power output PPVProbability density function；α and β is the form parameter of Beta distribution；
PPV、PPV,maxFor the practical active power output of photovoltaic plant and maximum active power output, Γ () indicates Gamma function；
(2-2) establishes the probabilistic model of electricity, thermic load are as follows:
In formula: f (Pload) and f (Hload) it is respectively electric load active-power PloadWith thermic load HloadProbability density function；WithThe respectively expectation and standard deviation of electric load；WithThe respectively expectation and standard deviation of thermic load.
4. the electric-thermal interconnection integrated energy system photovoltaic according to claim 1 containing P2H dissolves analysis method, feature
Be: the step (3) specifically includes:
(3-1) generates the sample matrix for meeting the input variable of related condition based on Nataf transformation；
(3-2) interconnects integrated energy system model according to the electric-thermal that step (1) is established, and adopts to sample point each in sample matrix
With Monte Carlo simulation approach computing system energy stream.
5. the electric-thermal interconnection integrated energy system photovoltaic according to claim 1 containing P2H dissolves analysis method, feature
Be: step (3-1) specifically includes:
Input stochastic variable is sampled, sample matrix is formed, by changing putting in order for sampled value, makes sample matrix
Related coefficient is close to the correlation matrix for inputting stochastic variable, i.e., in order by each row element of sample matrix
Matrix re-starts arrangement, to obtain final sample matrix.
6. the electric-thermal interconnection integrated energy system photovoltaic according to claim 1 containing P2H dissolves analysis method, feature
Be: step (3-2) specifically includes:
Integrated energy system model foundation Newton-Raphson approach update equation is interconnected according to the electric-thermal that step (1) obtains:
In formula: θ and V is respectively the amplitude and phase angle of Electric Power System Node Voltage；Δ W is input variable correction amount；Δ X is state
Variable correction amount；Δ P, Δ Q respectively indicate the active correction amount of electric system, idle correction amount；Δ H, Δ T, Δ m respectively indicate heat
Force system heat correction amount, temperature adjustmemt amount, pipeline flow correction amount；J is Jacobian matrix, by electric power submatrix Je, electric heating
Battle array Jeh, thermoelectricity submatrix Jhe, heating power submatrix JheComposition:
Monte Carlo simulation is carried out to sample point each in sample matrix according to the Newton-Raphson approach update equation, thus
The energy stream of electric-thermal interconnection integrated energy system is obtained, the probability of electric-thermal interconnection each state variable of integrated energy system can be obtained
Statistical information.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109830957A (en) * | 2019-02-22 | 2019-05-31 | 南方电网科学研究院有限责任公司 | Node operation load calculation method for regional comprehensive energy system |
| CN110543661A (en) * | 2019-07-18 | 2019-12-06 | 国网江苏省电力有限公司 | correlation-considered probability energy flow calculation method for electricity-heat interconnection comprehensive energy system |
| CN110555264A (en) * | 2019-08-30 | 2019-12-10 | 南方电网科学研究院有限责任公司 | Dynamic simulation method and device of comprehensive energy heat supply system based on extended node method |
| CN110765577A (en) * | 2019-09-20 | 2020-02-07 | 河海大学 | Radiation type heat supply network statistical characteristic obtaining method based on probability energy flow |
| CN110781598A (en) * | 2019-10-29 | 2020-02-11 | 国家电网有限公司 | Method for calculating running state of regional comprehensive energy system |
-
2018
- 2018-09-27 CN CN201811130046.XA patent/CN109255194A/en not_active Withdrawn
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109830957A (en) * | 2019-02-22 | 2019-05-31 | 南方电网科学研究院有限责任公司 | Node operation load calculation method for regional comprehensive energy system |
| CN110543661A (en) * | 2019-07-18 | 2019-12-06 | 国网江苏省电力有限公司 | correlation-considered probability energy flow calculation method for electricity-heat interconnection comprehensive energy system |
| CN110555264A (en) * | 2019-08-30 | 2019-12-10 | 南方电网科学研究院有限责任公司 | Dynamic simulation method and device of comprehensive energy heat supply system based on extended node method |
| CN110555264B (en) * | 2019-08-30 | 2023-02-28 | 南方电网科学研究院有限责任公司 | Dynamic simulation method and device of comprehensive energy heat supply system based on extended node method |
| CN110765577A (en) * | 2019-09-20 | 2020-02-07 | 河海大学 | Radiation type heat supply network statistical characteristic obtaining method based on probability energy flow |
| CN110781598A (en) * | 2019-10-29 | 2020-02-11 | 国家电网有限公司 | Method for calculating running state of regional comprehensive energy system |
| CN110781598B (en) * | 2019-10-29 | 2024-02-09 | 国家电网有限公司 | Method for calculating running state of regional comprehensive energy system |
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Application publication date: 20190122 |