CN113849946A - Modeling and load flow calculation method for electric-thermal interconnection comprehensive energy system - Google Patents

Modeling and load flow calculation method for electric-thermal interconnection comprehensive energy system Download PDF

Info

Publication number
CN113849946A
CN113849946A CN202111114036.9A CN202111114036A CN113849946A CN 113849946 A CN113849946 A CN 113849946A CN 202111114036 A CN202111114036 A CN 202111114036A CN 113849946 A CN113849946 A CN 113849946A
Authority
CN
China
Prior art keywords
power
heat
node
flow calculation
flow
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
Application number
CN202111114036.9A
Other languages
Chinese (zh)
Inventor
林盛
李兆滢
辛长庆
何雨桐
魏莫杋
赵琰
姜河
宋世巍
韩吉
安琦
叶瀚文
赵涛
白金禹
胡宸嘉
周航
王亚茹
姜铭坤
许鉴
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenyang Institute of Engineering
Original Assignee
Shenyang Institute of Engineering
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Shenyang Institute of Engineering filed Critical Shenyang Institute of Engineering
Priority to CN202111114036.9A priority Critical patent/CN113849946A/en
Publication of CN113849946A publication Critical patent/CN113849946A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/18Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/28Design optimisation, verification or simulation using fluid dynamics, e.g. using Navier-Stokes equations or computational fluid dynamics [CFD]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/04Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
    • H02J3/06Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00Details relating to the application field
    • G06F2113/08Fluids
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00Details relating to the application field
    • G06F2113/14Pipes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/06Power analysis or power optimisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/08Thermal analysis or thermal optimisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/14Force analysis or force optimisation, e.g. static or dynamic forces
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Computational Mathematics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Algebra (AREA)
  • Computing Systems (AREA)
  • Fluid Mechanics (AREA)
  • Mathematical Physics (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a modeling and load flow calculation method for an electric-thermal interconnection comprehensive energy system, which comprises the following steps: (1): and constructing a power system load flow calculation model containing distributed power supply access, and performing special treatment on the PV nodes by using an improved forward-backward substitution method to realize load flow calculation of the distributed power supply access distribution network. (2): and constructing a model containing a multi-heat-source radiation type thermodynamic system, converting the multi-heat-source radiation type heat supply network into a plurality of single-heat-source radiation type heat supply networks, and performing decoupled heat supply network load flow calculation by utilizing an improved forward-backward substitution method. (3): on the basis of modeling of each independent energy system, modeling is carried out on the coupling part of the two systems, and energy flow calculation of the whole electricity-heat interconnection comprehensive energy system is realized. The invention improves the defect that the traditional forward-backward substitution method can not process PV nodes, reduces the iteration times, reduces the requirement on initial values, simplifies the model by improving the thermodynamic system and improves the calculation speed.

Description

Modeling and load flow calculation method for electric-thermal interconnection comprehensive energy system
Technical Field
The invention relates to an electricity-heat interconnection comprehensive energy system, in particular to an electricity-heat interconnection comprehensive energy system modeling and load flow calculation method for improving a forward-backward substitution method.
Background
With the rapid development of the current society, the contradiction between the large energy consumption and ecological protection is increasingly highlighted, and the research of an energy system with high efficiency, small pollution and strong controllability becomes a hot problem. The development of comprehensive energy is beneficial to realizing reasonable regulation and optimal utilization of various resources, and is a good method for solving the problems of huge energy consumption, resource exhaustion and the like in the current times. In traditional energy systems such as power grids and heat supply networks, independent operation systems are arranged among the energy systems, the coupling degree among the energy systems is not tight, and the energy utilization efficiency is low. In the comprehensive energy system, the coupling is tight, the energy utilization rate is greatly improved, and the consumption capacity of renewable energy sources is also greatly improved.
The energy flow calculation of the comprehensive energy system is developed on the basis of the load flow calculation of the power system, the load flow calculation in the power system is mainly represented by a forward-backward substitution method, a Newton-Raphson method and a PQ decomposition method, and the forward-backward substitution method comprises the following steps: and calculating the power in each line according to the direction opposite to the power transmission by using the rated voltage of the line at a node far away from the power supply, calculating the voltage of each node according to the power transmission direction from the power supply end by using the required power, and repeating the two steps until the precision meets the requirement during load flow calculation. The Newton-Raphson method and the PQ decomposition method have stronger theoretical systems and more mature ideas when applied to a power system, but have the defects of complex solving program, more iteration times, difficulty in realizing combined calculation among systems and the like when applied to a comprehensive energy system.
Considering that the purpose of energy flow calculation of the comprehensive energy system is to improve the coupling degree among the systems, realize the optimal distribution of energy, reduce energy loss and improve the comprehensive utilization level of energy, a simplified comprehensive energy system model is constructed and a unified solving method is used, so that quick and accurate calculation can be realized. The forward-backward substitution method in the power system load flow calculation has the advantages of simple solving process, high calculation precision, simple programming, no need of excessive iteration times and the like, and the improvement of the traditional forward-backward substitution method can be applied to the energy flow calculation of the radiation type heat supply network, so that the energy flow solution of the comprehensive energy system is realized.
Disclosure of Invention
The invention aims to provide a modeling and load flow calculation method for an electric-thermal interconnection comprehensive energy system. The method is improved aiming at the defects of a forward-backward substitution method in an electric power system with distributed power supply access, and then is popularized to a radiation type thermodynamic system with multiple heat sources, so that the trend calculation of a comprehensive energy system is realized.
In order to solve the problems in the prior art, the technical scheme adopted by the invention is as follows:
a modeling and load flow calculation method for an electric-thermal interconnection comprehensive energy system comprises the following steps:
step 1: a power system load flow calculation model containing distributed power supply access is constructed, PV nodes are processed by an improved forward-backward substitution method, and load flow calculation of the distributed power supply access to a power distribution network is achieved;
step 2: constructing a model containing a multi-heat-source radiation type thermodynamic system, wherein the thermodynamic system model consists of a hydraulic model and a thermodynamic model, converting a multi-heat-source radiation type heat supply network into a plurality of single-heat-source radiation type heat supply networks, and performing decoupled heat supply network load flow calculation by utilizing an improved forward-backward substitution method; the conversion mode of converting the multi-heat-source radiation type heat supply network into a plurality of single-heat-source radiation type heat supply networks is as follows:
Figure BDA0003274656030000021
wherein the content of the first and second substances,
Figure BDA0003274656030000022
(i is 1, …, n, n represents the number of pipelines branched from the node, j is 1, …, m, m represents the number of heat sources in the heat supply network) is the pipeline flow of the corresponding single heat source radiation type heat supply network after conversion,
Figure BDA0003274656030000023
(i is 1, …, n) is the pipe flow rate corresponding to the heat source input to the node,
Figure BDA0003274656030000024
(i is 1, …, n) is branch flow before conversion, namely pipeline flow corresponding to the multi-heat-source radiation type heat supply network;
Figure BDA0003274656030000025
wherein the content of the first and second substances,
Figure BDA0003274656030000026
(i is 1, …, m is the number of heat sources in the heat supply network) is equivalent to the equivalent heat load power after a multi-heat-source radiation type heat supply network is equivalent to a plurality of single-heat-source radiation type heat supply networks, philThe node thermal load power before equivalence;
and step 3: on the basis of a power flow calculation model and a thermodynamic system model of the power system, a model is established for the coupling part of the power system and the thermodynamic system, and the energy flow calculation of the whole electricity-heat interconnection comprehensive energy system is realized.
Further, the step 1 comprises the following steps:
s101: acquiring network parameters and state variables of the power system;
s102: setting an initial voltage value, wherein the requirement on the initial voltage value in the power system is not high and only within a reasonable range;
s103: calculating the power flow of the power system by using an improved forward-backward substitution method, wherein the formula is as follows:
Figure BDA0003274656030000031
where Δ S is power loss, Δ P is active loss, Δ Q is reactive loss, I is line current, R is power loss, Δ P is active loss, Δ Q is reactive loss, and Δ Q is line currenti、XiAs a line parameter, Pi、QiFor active and reactive power at node i, UNIs the rated voltage of the line;
ΔU=Zi·ΔS*=(Ri+jXi)(ΔP-jΔQ)=RiΔP+XiΔQ
wherein, Δ U is the longitudinal component of voltage drop, Zi、Ri、XiAs a line parameter, PiActive power and reactive power at a node i are shown, delta P is active loss, and delta Q is reactive loss;
for a PV node, if Δ P is 0, then:
ΔQ=Xi -1·ΔU
wherein, Delta Q is reactive loss, XiIs a line parameter, and delta U is a voltage drop longitudinal component;
s104: correcting the reactive power of the PV node, namely correcting the reactive power injected into the PV node by using a reactive correction value in each iteration so as to ensure the real-time performance of data, wherein a correction equation is as follows:
Figure BDA0003274656030000032
wherein, the delta Q is a reactive correction quantity; gamma belongs to (-1, 1) as the calculation step length, and is generally equal to 0.1; qiCalculating the obtained reactive power for the PV node; qijFor all branches and nodes connected to the PV node, PiPower of the ith PV node, R, X is the line parameter, Δ UpIs the voltage difference between the PV node and the connected node, UiThe input voltage of the ith PV node;
s105: calculating values of delta U, delta and delta Q;
s106: and judging whether the voltage of each node meets the convergence judgment condition of the following formula, if not, returning to the step of updating the voltage amplitude and the voltage phase angle before the load flow calculation, and correcting the reactive power of the PV node until the voltage meets the convergence judgment condition to output a load flow calculation result. The convergence determination condition is as follows:
Figure BDA0003274656030000041
wherein the content of the first and second substances,
Figure BDA0003274656030000042
is the absolute value of the difference between the voltage value obtained in the kth iteration and the initial given voltage value, epsilon is the convergence accuracy,
Figure BDA0003274656030000043
for the voltage values obtained for k iterations, U0Is an initial given voltage value;
s107: and outputting a load flow calculation result.
Further, in step 2, the water flow in the pipeline and the injection water flow of the heat load node are obtained from the hydraulic model, and the flow continuity equation is used for representing the following flow continuity equation:
Alm=mq
wherein A islIs a network incidence matrix of heat load nodes relative to each pipeline, m is a hot water flow vector in the pipeline, m isqThe flow vector of the injected water for the heat load node;
further, in step 2, the temperature of each node of the heat supply network is determined by the thermodynamic model, specifically:
φ=φiEi=cpm(Til-Tol)
wherein phi is a thermal power vector injected into the node, phiiIs a node thermal load power vector, phiEiInjecting a thermal power vector, c, into the nodal electric boilerpIs the specific heat capacity of water, m is the mass flow, TilSupply water temperature vector, T, to the nodeolIs a node loopWater temperature vector;
Figure BDA0003274656030000044
wherein T isendFor the temperature of the hot water flowing out of the pipe, TstartFor the temperature of the hot water flowing into the pipe, TeIs the external natural temperature, lambda is the heat conduction coefficient per unit length in the pipeline, d is the pipeline transmission distance, CpIs the specific heat capacity of water, m is the mass flow, mu is the temperature compensation parameter;
Figure BDA0003274656030000051
wherein m isout,aFor branch flow of the a-th branch out of the pipe, ToutReturn the mixing temperature, m, for the nodein,bBranch flow, T, for the b-th branch into the pipein,bAnd (4) flowing the terminal pipe temperature of the node for the b branch.
Further, the step 3 comprises the following steps:
step 301: modeling the coupling part of the electric-thermal combined system:
when the backpressure unit is used as a main heat source of a thermodynamic system and the electric boiler is used as a peak regulation heat source, the thermal power and the electric power generated by the backpressure unit satisfy the following relations:
ζ-1·φBY=PBY
where ζ is the ratio of heat generation to electricity generation, and is generally a constant value, φBYFor heat power, P, from backpressure unitsBYElectric power generated for the backpressure unit;
the thermal power and the electric power generated by the peak-shaving electric boiler satisfy the following formula:
δ-1·φEB=PEB
wherein delta is the ratio of heat production to electricity production, and is generally a constant value phiEBFor the thermal power, P, generated by peak-shaving electric boilersEBElectric power generated for the peak shaving electric boiler;
step 302: and converting the sum of the thermal powers of all the balance nodes in the thermodynamic system into the power of the electrical load by utilizing the coupling part modeling in the step 301, so as to realize the conversion process from the thermodynamic system to the power flow solution of the power system.
The invention has the advantages and beneficial effects that:
the method comprises the steps of firstly carrying out PV node reactive power correction on a power system with distributed power access by utilizing an improved forward-backward substitution method, then equivalently changing a multi-heat-source radiation type heat supply network into a plurality of single-heat-source radiation type heat supply networks, then carrying out energy flow calculation, and finally converting thermal power into electric power through a coupling element to realize load flow calculation of the comprehensive energy system. The invention improves the defect that the traditional forward-backward substitution method can not process PV nodes, reduces the iteration times, reduces the requirement on initial values, simplifies the model by improving the thermodynamic system and improves the calculation speed.
Drawings
FIG. 1 is a flow chart of a power system flow solving method based on an improved forward-backward substitution method;
FIG. 2 is a decoupling diagram of a radiative thermodynamic system with multiple heat sources;
FIG. 3 is a schematic diagram of an integrated energy testing system;
fig. 4 is a comparison graph of power flow calculation results of the power system.
Detailed Description
The invention is described in detail below with reference to the following figures and examples:
the invention relates to a modeling and load flow calculation method for an electric-thermal interconnection comprehensive energy system, which is improved aiming at the defects of a forward-backward substitution method in an electric power system with distributed power supply access and then popularized to a radiation-type thermodynamic system with multiple heat sources, so that the load flow calculation of the comprehensive energy system is realized, and the modeling and load flow calculation method comprises the following steps:
step 1: and constructing a power system load flow calculation model containing distributed power supply access, and performing special treatment on the PV nodes by using an improved forward-backward substitution method to realize load flow calculation of the distributed power supply access distribution network.
As shown in fig. 1, the step 1 includes the following steps:
s101: acquiring network parameters and state variables of the power system;
s102: setting an initial voltage value, wherein the requirement on the initial voltage value in the power system is not high and only within a reasonable range;
s103: calculating the power flow of the power system by utilizing an improved push-back substitution method, wherein the improved push-back substitution method is used for calculating the voltage and power distribution in two steps, for a radiation type power grid, the power loss and the node power of each branch are calculated from a position far away from a power supply in the opposite direction of power transmission, and the formula is as follows:
Figure BDA0003274656030000061
where Δ S is power loss, Δ P is active loss, Δ Q is reactive loss, I is line current, R is power loss, Δ P is active loss, Δ Q is reactive loss, and Δ Q is line currenti、XiAs a line parameter, Pi、QiFor active and reactive power at node i, UNIs the nominal voltage of the line.
Secondly, starting from the power supply, calculating the voltage drop of each line and the voltage of each node along the power transmission direction, wherein the formula is as follows:
ΔU=Zi·ΔS*=(Ri+jXi)(ΔP-jΔQ)=RiΔP+XiΔQ
wherein, Δ U is the longitudinal component of voltage drop, Zi、Ri、XiAs a line parameter, PiActive power and reactive power at a node i are shown, delta P is active loss, and delta Q is reactive loss;
for a PV node, if Δ P is 0, then:
ΔQ=Xi -1·ΔU
wherein, Delta Q is reactive loss, XiIs a line parameter, and delta U is a voltage drop longitudinal component;
s104: the reactive power at the PV node is modified using an improved push-back substitution:
for a power distribution network injected by a distributed power supply, the number of PV nodes in a power system is increased, calculation of a large number of PV nodes cannot be realized when a forward-backward substitution method is used, and if the initial reactive power output value of the PV node is recorded as 0, the PV node can be equivalent to a PQ node to facilitate subsequent solution. The correction of the reactive power of the PV node can be realized by using an improved forward-backward substitution method, namely, the correction of the reactive power injected into the PV node is carried out by using the reactive correction value during each iteration, so that the real-time property of data is ensured, and a correction equation is as follows:
Figure BDA0003274656030000071
wherein, the delta Q is a reactive correction quantity; gamma belongs to (-1, 1) as the calculation step length, and is generally equal to 0.1; qiCalculating the obtained reactive power for the PV node; qijFor all branches and nodes connected to the PV node, PiPower of the ith PV node, R, X is the line parameter, Δ UpIs the voltage difference between the PV node and the connected node, UiThe input voltage of the ith PV node.
S105: calculating values of delta U, delta and delta Q;
s106: and judging whether the voltage of each node meets the convergence judgment condition of the following formula, if not, returning to the step of updating the voltage amplitude and the voltage phase angle before the load flow calculation, and correcting the reactive power of the PV node until the voltage meets the convergence judgment condition to output a load flow calculation result. The convergence determination condition is as follows:
Figure BDA0003274656030000081
wherein the content of the first and second substances,
Figure BDA0003274656030000082
is the absolute value of the difference between the voltage value obtained in the kth iteration and the initial given voltage value, epsilon is the convergence accuracy,
Figure BDA0003274656030000083
for the voltage values obtained for k iterations, U0Is initially given a voltage value.
S107: outputting a load flow calculation result;
step 1, load flow calculation of a distributed power supply connected to a power distribution network is achieved, the defect that a traditional forward-backward substitution method cannot process PV nodes is improved, and reactive power of the PV nodes can be corrected during each iteration.
Step 2: and constructing a radiation type thermodynamic system model containing multiple heat sources, wherein the thermodynamic system model consists of a hydraulic model and a thermodynamic model. And converting the multi-heat-source radiation type heat supply network into a plurality of single-heat-source radiation type heat supply networks, and performing decoupled heat supply network load flow calculation by adopting an improved forward-backward substitution method.
S201: the thermodynamic system model consists of a hydraulic model and a thermodynamic model, the hydraulic model is used for obtaining water flow in a pipeline and injection water flow of a heat load node, and the flow continuous equation is used for representing the following flow continuous equation:
Alm=mq
wherein A islIs a network incidence matrix of heat load nodes relative to each pipeline, m is a hot water flow vector in the pipeline, m isqThe injection water flow vector for the heat load node.
Pressure loop equation:
Bhf=0
wherein B is a branch incidence matrix of the pipeline in the heating loop, hfIs the pressure variation vector of the hot water in the pipeline.
Determining the temperature of each node of the heat supply network by the thermal model, and determining the relationship between the node injection thermal power and the mass flow and the node temperature:
φ=φiEi=cpm(Til-Tol)
wherein phi is a thermal power vector injected into the node, phiiIs a node thermal load power vector, phiEiInjecting a thermal power vector, c, into the nodal electric boilerpIs the specific heat capacity of water, m is the mass flow, TilTemperature vector of water supply for node,TolAnd the vector is the return water temperature of the node.
The temperature variation relationship of the head end and the tail end of the pipeline is as follows:
Figure BDA0003274656030000091
wherein T isendFor the temperature of the hot water flowing out of the pipe, TstartFor the temperature of the hot water flowing into the pipe, TeIs the external natural temperature, lambda is the heat conduction coefficient per unit length in the pipeline, d is the pipeline transmission distance, CpIs the specific heat capacity of water, m is the mass flow, and μ is the temperature compensation parameter.
The hot water flowing from the heat source through the different heat supply networks and finally mixing at the heat load can be expressed by the following formula:
Figure BDA0003274656030000092
wherein m isout,aFor branch flow of the a-th branch out of the pipe, ToutReturn the mixing temperature, m, for the nodein,bBranch flow, T, for the b-th branch into the pipein,bAnd (4) flowing the terminal pipe temperature of the node for the b branch.
S202: a multi-heat-source radiation type heat supply network is converted into a plurality of single-heat-source radiation type heat supply networks, for example, a model containing a multi-heat-source radiation type thermodynamic system shown in fig. 2, two heat sources in the model supply heat to a heat load at the same time, and then the two heat sources are converted into two equivalent heat sources to supply heat to the heat load, so that the multi-heat-source radiation type heat supply network is converted into the plurality of single-heat-source radiation type heat supply networks and then subjected to load flow calculation, wherein the conversion mode is as follows:
Figure BDA0003274656030000093
rewritten in matrix form as:
Figure BDA0003274656030000094
θ∈(1,m)
wherein the content of the first and second substances,
Figure BDA0003274656030000101
(i is 1, …, n, n represents the number of pipelines branched from the node, j is 1, …, m, m represents the number of heat sources in the heat supply network) is the pipeline flow of the corresponding single heat source radiation type heat supply network after conversion,
Figure BDA0003274656030000102
(i is 1, …, n) is the pipe flow rate corresponding to the heat source input to the node,
Figure BDA0003274656030000103
(i is 1, …, n) is branch flow before conversion, namely pipeline flow corresponding to the multi-heat-source radiation type heat supply network;
Figure BDA0003274656030000104
wherein the content of the first and second substances,
Figure BDA0003274656030000105
(i is 1, …, m is the number of heat sources in the heat supply network) is equivalent to the equivalent heat load power after a multi-heat-source radiation type heat supply network is equivalent to a plurality of single-heat-source radiation type heat supply networks, philIs the node thermal load power before the equivalence.
S203: adopting an improved forward-backward substitution method to calculate the flow of the decoupled heat supply network, and carrying out the following analogy after decoupling the heat supply network:
the temperature in the thermodynamic system is analogized to the voltage in the power system, the heat flow, namely the mass flow rate, is analogized to the current in the power system, the heat load node is analogized to the PQ node in the power system, the heat source node is analogized to the PV node in the power system, for the node with known heat supply temperature, the node is analogized to the balance node in the power system, the thermodynamic system can be equivalently converted into the power system to solve the power flow by utilizing the above analogism, and the improved forward-backward substitution method in the step 1 is used in the solving method.
And 2, a model containing a multi-heat-source radiation type thermal system is constructed, the multi-heat-source radiation type heat supply network is converted into a plurality of single-heat-source radiation type heat supply networks, and the flow calculation of the multi-heat-source radiation type heat supply network is realized by analogy with the improved forward-backward substitution method provided in the step 1.
And step 3: on the basis of a power flow calculation model and a thermodynamic system model of the power system, a model is established for the coupling part of the power system and the thermodynamic system, and the energy flow calculation of the whole electricity-heat interconnection comprehensive energy system is realized.
The step 3 comprises the following steps:
step 301: modeling the coupling part of the electric-thermal combined system:
as a widely used thermoelectric unit, the back pressure unit does not comprise a condenser, exhaust heat in the back pressure unit is fully utilized, and the heat efficiency is high. The method has the defects that the generated energy of the back pressure unit is based on the generated heat quantity, and the regulation sensitivity is not strong. Therefore, a backpressure unit is generally selected as a main heat source of the thermal system in the thermal system, and an electric boiler is used as a peak shaving heat source.
The thermal power and the electric power generated by the backpressure unit satisfy the following relations:
ζ-1·φBY=PBY
where ζ is the ratio of heat generation to electricity generation, and is generally a constant value, φBYFor heat power, P, from backpressure unitsBYElectric power generated for the backpressure unit;
the thermal power and the electric power generated by the peak-shaving electric boiler satisfy the following formula:
δ-1·φEB=PEB
wherein delta is the ratio of heat production to electricity production, and is generally a constant value phiEBFor the thermal power, P, generated by peak-shaving electric boilersEBThe peak shaving electric boiler generates electric power.
Step 302: and converting the sum of the thermal powers of all the balance nodes in the thermodynamic system into the power of the electrical load by utilizing the coupling part modeling in the step 301, so as to realize the conversion process from the thermodynamic system to the power flow solution of the power system.
Taking the integrated energy testing system shown in fig. 3 as an example, the thermodynamic system and the electrical system are coupled together by a cogeneration unit. The heat supply network part comprises two heat Source nodes (Source 1 and Source 2) using a backpressure unit, a peak regulation electric boiler positioned at the No. 5 node and 14 heat load nodes, the peak regulation ratio is 0.45, the heat supply temperature of the combined heat and power generation unit is set to be 120 ℃, the heat-electricity ratio is 1.4, the heat loads are all set to be 0.5MW, the natural environment temperature is 2 ℃, the length of each pipeline is set to be 1.58km, and the heat conduction coefficient of the unit length in the pipeline is set to be 0.289Wm-1·K-1And taking the diameter of the pipeline as 100mm, converting the multi-heat-source radiation type heat supply network into a plurality of single-heat-source radiation type heat supply networks according to the step 2, calculating the power flow of the thermodynamic system by using an improved forward-backward substitution method, wherein the table 1 is the pipeline flow of the thermodynamic system, and the table 2 is the node supply temperature and the node return temperature of the thermodynamic system.
TABLE 1 thermodynamic system pipe flow
Figure BDA0003274656030000111
Figure BDA0003274656030000121
TABLE 2 thermodynamic system node supply and node return temperatures
Figure BDA0003274656030000122
The thermal power system is coupled with the electric power system through a node 14, and the thermal power of the node 14 is 7.32725MW and is converted into 5.23375 MW.
The power grid part selects a 14-node power distribution network, a node 1 is connected with an external power grid, the voltage amplitude is 1.00pu, a node 2 is a PV node, the voltage amplitude is 0.993pu, a node 6 is a PV node, the voltage amplitude is 0.964pu, and the other nodes are PQ nodes. Programming is carried out according to a flow chart of the power system in the figure 1 based on the improved forward-backward substitution method, firstly, taking the nodes 1 and 2 as PQ nodes, carrying out first iterative calculation, then returning to a program to carry out calculation of reactive power correction, carrying out next iterative calculation after substituting the reactive power correction, and outputting a power flow calculation result of the power system after three iterations and meeting convergence judgment conditions. Compared with the traditional Newton-Raphson method for load flow calculation, the maximum error of the node voltage is 0.00028%, and the accuracy of the method is verified, wherein the load flow calculation result obtained by the method is shown in figure 4.

Claims (5)

1. A modeling and load flow calculation method for an electric-thermal interconnection comprehensive energy system is characterized by comprising the following steps:
step 1: a power system load flow calculation model containing distributed power supply access is constructed, PV nodes are processed by an improved forward-backward substitution method, and load flow calculation of the distributed power supply access to a power distribution network is achieved;
step 2: constructing a model containing a multi-heat-source radiation type thermodynamic system, wherein the thermodynamic system model consists of a hydraulic model and a thermodynamic model, converting a multi-heat-source radiation type heat supply network into a plurality of single-heat-source radiation type heat supply networks, and performing decoupled heat supply network load flow calculation by utilizing an improved forward-backward substitution method; the conversion mode of converting the multi-heat-source radiation type heat supply network into a plurality of single-heat-source radiation type heat supply networks is as follows:
Figure FDA0003274656020000011
wherein the content of the first and second substances,
Figure FDA0003274656020000012
(i is 1, …, n, n represents the number of pipelines branched from the node, j is 1, …, m, m represents the number of heat sources in the heat supply network) is the pipeline flow of the corresponding single heat source radiation type heat supply network after conversion,
Figure FDA0003274656020000013
(i is 1, …, n) is the pipe flow rate corresponding to the heat source input to the node,
Figure FDA0003274656020000014
(i is 1, …, n) is branch flow before conversion, namely pipeline flow corresponding to the multi-heat-source radiation type heat supply network;
Figure FDA0003274656020000015
wherein the content of the first and second substances,
Figure FDA0003274656020000016
(i is 1, …, m is the number of heat sources in the heat supply network) is equivalent to the equivalent heat load power after a multi-heat-source radiation type heat supply network is equivalent to a plurality of single-heat-source radiation type heat supply networks, philThe node thermal load power before equivalence;
and step 3: on the basis of a power flow calculation model and a thermodynamic system model of the power system, a model is established for the coupling part of the power system and the thermodynamic system, and the energy flow calculation of the whole electricity-heat interconnection comprehensive energy system is realized.
2. The modeling and load flow calculation method for electric-thermal interconnection integrated energy system according to claim 1, characterized in that the step 1 comprises the following steps:
s101: acquiring network parameters and state variables of the power system;
s102: setting an initial voltage value, wherein the requirement on the initial voltage value in the power system is not high and only within a reasonable range;
s103: calculating the power flow of the power system by using an improved forward-backward substitution method, wherein the formula is as follows:
Figure FDA0003274656020000021
where Δ S is power loss, Δ P is active loss, Δ Q is reactive loss, I is line current, R is power loss, Δ P is active loss, Δ Q is reactive loss, and Δ Q is line currenti、XiAs a line parameter, Pi、QiFor active and reactive power at node i, UNIs the rated voltage of the line;
ΔU=Zi·ΔS*=(Ri+jXi)(ΔP-jΔQ)=RiΔP+XiΔQ
wherein, Δ U is the longitudinal component of voltage drop, Zi、Ri、XiAs a line parameter, PiActive power and reactive power at a node i are shown, delta P is active loss, and delta Q is reactive loss;
for a PV node, if Δ P is 0, then:
ΔQ=Xi -1·ΔU
wherein, Delta Q is reactive loss, XiIs a line parameter, and delta U is a voltage drop longitudinal component;
s104: correcting the reactive power of the PV node, namely correcting the reactive power injected into the PV node by using a reactive correction value in each iteration so as to ensure the real-time performance of data, wherein a correction equation is as follows:
Figure FDA0003274656020000022
wherein, the delta Q is a reactive correction quantity; gamma belongs to (-1, 1) as the calculation step length, and is generally equal to 0.1; qiCalculating the obtained reactive power for the PV node; qijFor all branches and nodes connected to the PV node, PiPower of the ith PV node, R, X is the line parameter, Δ UpIs the voltage difference between the PV node and the connected node, UiThe input voltage of the ith PV node;
s105: calculating values of delta U, delta and delta Q;
s106: and judging whether the voltage of each node meets the convergence judgment condition of the following formula, if not, returning to the step of updating the voltage amplitude and the voltage phase angle before the load flow calculation, and correcting the reactive power of the PV node until the voltage meets the convergence judgment condition to output a load flow calculation result. The convergence determination condition is as follows:
Figure FDA0003274656020000031
wherein the content of the first and second substances,
Figure FDA0003274656020000032
is the absolute value of the difference between the voltage value obtained in the kth iteration and the initial given voltage value, epsilon is the convergence accuracy,
Figure FDA0003274656020000033
for the voltage values obtained for k iterations, U0Is an initial given voltage value;
s107: and outputting a load flow calculation result.
3. The modeling and load flow calculation method for electric-thermal interconnection comprehensive energy system according to claim 1, wherein the water flow in the pipeline and the injection water flow of the thermal load node are obtained from the hydraulic model in step 2, and are expressed by using the following flow continuity equation:
Alm=mq
wherein A islIs a network incidence matrix of heat load nodes relative to each pipeline, m is a hot water flow vector in the pipeline, m isqThe injection water flow vector for the heat load node.
4. The method for modeling and load flow calculation of an electric-thermal interconnected integrated energy system according to claim 1, wherein the temperature of each node of the heat supply network is determined by the thermodynamic model in step 2, specifically:
φ=φiEi=cpm(Til-Tol)
wherein phi is a thermal power vector injected into the node, phiiIs a node thermal load power vector, phiEiInjecting a thermal power vector, c, into the nodal electric boilerpIs the specific heat capacity of water, m is the mass flow, TilSupply water temperature vector, T, to the nodeolTo the node return water temperatureAn amount;
Figure FDA0003274656020000034
wherein T isendFor the temperature of the hot water flowing out of the pipe, TstartFor the temperature of the hot water flowing into the pipe, TeIs the external natural temperature, lambda is the heat conduction coefficient per unit length in the pipeline, d is the pipeline transmission distance, CpIs the specific heat capacity of water, m is the mass flow, mu is the temperature compensation parameter;
Figure FDA0003274656020000041
wherein m isout,aFor branch flow of the a-th branch out of the pipe, ToutReturn the mixing temperature, m, for the nodein,bBranch flow, T, for the b-th branch into the pipein,bAnd (4) flowing the terminal pipe temperature of the node for the b branch.
5. The modeling and load flow calculation method for electric-thermal interconnection integrated energy system according to claim 1, wherein the step 3 comprises the steps of:
step 301: modeling the coupling part of the electric-thermal combined system:
when the backpressure unit is used as a main heat source of a thermodynamic system and the electric boiler is used as a peak regulation heat source, the thermal power and the electric power generated by the backpressure unit satisfy the following relations:
ζ-1·φBY=PBY
where ζ is the ratio of heat generation to electricity generation, and is generally a constant value, φBYFor heat power, P, from backpressure unitsBYElectric power generated for the backpressure unit;
the thermal power and the electric power generated by the peak-shaving electric boiler satisfy the following formula:
δ-1·φEB=PEB
wherein delta is the ratio of heat production to electricity production, and is generally a constant value phiEBFor the thermal power, P, generated by peak-shaving electric boilersEBElectric power generated for the peak shaving electric boiler;
step 302: and converting the sum of the thermal powers of all the balance nodes in the thermodynamic system into the power of the electrical load by utilizing the coupling part modeling in the step 301, so as to realize the conversion process from the thermodynamic system to the power flow solution of the power system.
CN202111114036.9A 2021-09-23 2021-09-23 Modeling and load flow calculation method for electric-thermal interconnection comprehensive energy system Pending CN113849946A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111114036.9A CN113849946A (en) 2021-09-23 2021-09-23 Modeling and load flow calculation method for electric-thermal interconnection comprehensive energy system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111114036.9A CN113849946A (en) 2021-09-23 2021-09-23 Modeling and load flow calculation method for electric-thermal interconnection comprehensive energy system

Publications (1)

Publication Number Publication Date
CN113849946A true CN113849946A (en) 2021-12-28

Family

ID=78978786

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111114036.9A Pending CN113849946A (en) 2021-09-23 2021-09-23 Modeling and load flow calculation method for electric-thermal interconnection comprehensive energy system

Country Status (1)

Country Link
CN (1) CN113849946A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114417603A (en) * 2022-01-18 2022-04-29 福州大学 Electric heating integrated energy system affine energy flow calculation method considering heat supply network transmission and distribution capacity
CN117134418A (en) * 2023-10-27 2023-11-28 国网浙江省电力有限公司宁波供电公司 Load flow calculation method, device and equipment of multi-energy coupling system

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090182518A1 (en) * 2008-01-14 2009-07-16 Chia-Chi Chu Method of Calculating Power Flow Solution of a Power Grid that Includes Generalized Power Flow Controllers
EP3098924A1 (en) * 2015-05-29 2016-11-30 Electricité de France A method and device for calculation of power flow in the distribution grid
CN111428351A (en) * 2020-03-11 2020-07-17 国网辽宁省电力有限公司大连供电公司 Electric-thermal comprehensive energy system load flow calculation method based on forward-backward substitution method
CN112016033A (en) * 2020-08-07 2020-12-01 大连理工大学 Electric-heat-gas comprehensive energy system load flow calculation method based on forward-backward substitution method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090182518A1 (en) * 2008-01-14 2009-07-16 Chia-Chi Chu Method of Calculating Power Flow Solution of a Power Grid that Includes Generalized Power Flow Controllers
EP3098924A1 (en) * 2015-05-29 2016-11-30 Electricité de France A method and device for calculation of power flow in the distribution grid
CN111428351A (en) * 2020-03-11 2020-07-17 国网辽宁省电力有限公司大连供电公司 Electric-thermal comprehensive energy system load flow calculation method based on forward-backward substitution method
CN112016033A (en) * 2020-08-07 2020-12-01 大连理工大学 Electric-heat-gas comprehensive energy system load flow calculation method based on forward-backward substitution method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
刘莉, 袁博, 宛力: "基于关联矩阵自乘的配电网潮流计算", 电力自动化设备, no. 08, 25 August 2005 (2005-08-25) *
王英瑞;曾博;郭经;史佳琪;张建华: "电–热–气综合能源系统多能流计算方法", 电网技术, vol. 40, no. 10, 31 December 2016 (2016-12-31) *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114417603A (en) * 2022-01-18 2022-04-29 福州大学 Electric heating integrated energy system affine energy flow calculation method considering heat supply network transmission and distribution capacity
CN117134418A (en) * 2023-10-27 2023-11-28 国网浙江省电力有限公司宁波供电公司 Load flow calculation method, device and equipment of multi-energy coupling system
CN117134418B (en) * 2023-10-27 2024-04-12 国网浙江省电力有限公司宁波供电公司 Load flow calculation method, device and equipment of multi-energy coupling system

Similar Documents

Publication Publication Date Title
CN106777708B (en) Steady state analysis method of electric power-natural gas regional comprehensive energy system
CN111428351B (en) Electric-thermal comprehensive energy system tide calculation method based on forward-push back substitution method
CN112016033B (en) Electric-thermal-gas comprehensive energy system tide calculation method based on forward-push back substitution method
CN111191182B (en) Static combined heat and power flow hybrid solving method based on linearized thermal model
CN113849946A (en) Modeling and load flow calculation method for electric-thermal interconnection comprehensive energy system
CN107808216B (en) Method for constructing comprehensive minimum optimization model for wind curtailment and electrical thermal load reduction of electricity-gas-heat interconnection system
Chen et al. Fast decoupled multi-energy flow calculation for integrated energy system
CN110175311B (en) Optimized power flow calculation method based on multi-energy coupling model
CN104734147A (en) Probability energy flow analysis method for integrated energy system (IES)
CN111030120B (en) Unified platform tide computing method for urban comprehensive energy network
Li et al. Classification and location scheme selection of coupling components in integrated electrical and heating systems with renewable energy
CN114221346A (en) Load flow calculation method of comprehensive energy system
CN113255105B (en) Load flow calculation method of electric and thermal comprehensive energy system with bidirectional coupling network structure
Man et al. State estimation for integrated energy system containing electricity, heat and gas
CN113283077A (en) Correlation-considered power flow calculation method for electricity-heat-hydrogen comprehensive energy system interval
CN113221428B (en) Rapid decomposition method for dynamic energy flow calculation of electricity-heat comprehensive energy system
CN114549232A (en) Hybrid energy flow calculation method for electricity-heat comprehensive energy system
CN114629124A (en) Comprehensive energy system load flow calculation method based on subareas
CN111199012B (en) Energy internet thermodynamic network load flow calculation method
CN112287286B (en) Electric-gas comprehensive energy system forward push back algorithm based on compensation airflow method
CN113690891A (en) Analytic method-based power-heat interconnection comprehensive energy system probability power flow determination method
CN113515853A (en) Electric-heat interconnection comprehensive energy system optimization scheduling method based on linear equation
Lei et al. A Novel Methodology for Electric-Thermal Mixed Power Flow Simulation and Transmission Loss Analysis in Multi-Energy Micro-Grids
Yang et al. Coordinated Optimal Configuration Method of Hybrid Energy Storage Systems in Energy Internet System
Ayele et al. Pseudo-dynamic simulation on a district energy system made of coupling technologies

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