CN108776938B - Simulation method based on multi-energy complementary energy network - Google Patents

Simulation method based on multi-energy complementary energy network Download PDF

Info

Publication number
CN108776938B
CN108776938B CN201810581541.6A CN201810581541A CN108776938B CN 108776938 B CN108776938 B CN 108776938B CN 201810581541 A CN201810581541 A CN 201810581541A CN 108776938 B CN108776938 B CN 108776938B
Authority
CN
China
Prior art keywords
simulation
energy
model
energy network
complementary energy
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.)
Active
Application number
CN201810581541.6A
Other languages
Chinese (zh)
Other versions
CN108776938A (en
Inventor
解大
陈爱康
邰俊
余召辉
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.)
Shanghai Jiaotong University
Original Assignee
Shanghai Jiaotong University
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 Shanghai Jiaotong University filed Critical Shanghai Jiaotong University
Priority to CN201810581541.6A priority Critical patent/CN108776938B/en
Publication of CN108776938A publication Critical patent/CN108776938A/en
Application granted granted Critical
Publication of CN108776938B publication Critical patent/CN108776938B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Economics (AREA)
  • Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Evolutionary Computation (AREA)
  • Computer Hardware Design (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Geometry (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention provides a simulation method based on a multi-energy complementary energy network, which is realized through a simulation platform, wherein the simulation platform encapsulates a time domain model of a typical element in the multi-energy complementary energy network in advance, a parameter input port is reserved, an algorithm unit is arranged in the simulation platform, the simulation platform selects a corresponding element model for connection according to a topological structure of the multi-energy complementary energy network to be simulated, model parameters are set according to a simulation system, a time constant in an algorithm module is selected and set, the multi-energy complementary energy network is simulated, dynamic operation curves of all parts of the multi-energy complementary energy network are obtained, and further the dynamic characteristics of the multi-energy complementary energy network are researched. The invention realizes the simulation experiment of the multi-energy complementary energy network with different topological mechanisms and capacities by flexibly selecting each element and corresponding parameters. The method can meet the requirement of quick construction of a multi-energy complementary energy network simulation model, and can realize unified solution of element models with different time scales.

Description

Simulation method based on multi-energy complementary energy network
Technical Field
The invention relates to the technical field of a multi-energy complementary energy network, in particular to a simulation method based on the multi-energy complementary energy network.
Background
With the development of society, the problems of energy shortage, greenhouse effect and complexity of heat and electric load are increasingly highlighted. Thus, there is a need for improvements in the production modes of conventional models where heat and electricity are provided independently by inefficient boilers and power stations, respectively. The multi-energy complementary energy network has high energy utilization rate, low carbon benefit and flexible load regulation capacity. Multi-energy complementary energy networks are increasingly being used by industry and by residents because of the flexible transmission and distribution of multiple energy sources. The working principle and the dynamic characteristics of the multi-energy complementary energy network are analyzed, and a dynamic model of the multi-energy complementary energy network is established, so that the method has great significance in the aspects of optimized scheduling, operation, control planning and the like.
Currently, because of the complexity of their dynamic modeling, there is no way to systematically study their time domain models. The static analysis model of the multi-energy complementary energy network can only reflect the stable running state of the system within a period of time, so that the static model cannot analyze the dynamic response of the system after encountering various small disturbances or faults in reality, and the real-time control and scheduling of the running state of the multi-energy complementary energy network cannot be realized.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a simulation platform based on a multi-energy complementary energy network, which can quickly perform simulation modeling on the multi-energy complementary energy network, and can realize the simulation requirements of different time scales and simultaneously make the research on the dynamic characteristics of the multi-energy complementary energy network more convenient and systematic.
In order to realize the purpose, the invention is realized according to the following technical scheme:
a simulation method based on a multi-energy complementary energy network is characterized by being realized through a simulation platform, wherein the simulation platform encapsulates a time domain model of a typical element in the multi-energy complementary energy network in advance, a parameter input port is reserved, an algorithm unit is arranged in the simulation platform, the simulation platform selects a corresponding element model to connect according to a topological structure of the multi-energy complementary energy network to be simulated, and model parameters are set according to a simulation system, and the simulation method specifically comprises the following steps:
step S1: establishing a nonlinear time domain model which accords with an actual operation state based on the working principle and dynamic characteristics of typical elements in a multi-energy complementary energy network, wherein the model is provided with an input/output interface, and setting windows of all variable parameters in the model are reserved;
step S2: in the multi-energy complementary energy network, the time scales of time domain models of all elements are different, and an algorithm unit is arranged in a simulation platform aiming at the unified solution of different time scale models, wherein the algorithm unit comprises simulation algorithm units with different time scales;
step S3: dividing each element in the built multi-energy complementary energy network simulation model into a plurality of grades according to time scale, and starting the simulation of the next grade when the model operation state of the current grade tends to be stable, wherein the steady state operation state of the previous grade is used as the initial data of the next grade, the previous grade keeps steady state operation, and the process is carried out downwards until all the whole simulations are finished;
step S4: and selecting corresponding elements in the simulation platform to model according to the topological structure and parameters of the actual multi-energy complementary energy network, classifying the models with different time scales in an algorithm unit, and carrying out simulation observation on the dynamic operation curve of the multi-energy complementary energy network.
Preferably, the simulation platform further provides a packaging element module for realizing rewriting and a new element building module for a provider.
Preferably, the dynamic characteristics of the multi-energy complementary energy network under different operation controls are studied by controlling the change of the parameters.
Compared with the prior art, the invention has the following beneficial effects:
aiming at the multi-energy complementary energy network, the invention constructs a typical element model and different time scale models in the network to be solved in a unified way, and integrates the two points to form a multi-energy complementary energy network simulation platform, thereby realizing the rapid simulation modeling of the multi-energy complementary energy network and facilitating the systematic research on the dynamic characteristics of the multi-energy complementary energy network.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a flow chart of a different time scale solution method of the present invention;
FIG. 2 is a diagram of a typical multi-energy complementary energy network model constructed based on a simulation platform according to the present invention;
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that it would be obvious to those skilled in the art that various changes and modifications can be made without departing from the spirit of the invention. All falling within the scope of the present invention.
The simulation method based on the multi-energy complementary energy network is realized through a simulation platform, wherein the simulation platform encapsulates a time domain model of a typical element in the multi-energy complementary energy network in advance, a parameter input port is reserved, and meanwhile, an algorithm unit is arranged in the simulation platform and used for solving the problem of agreeing to solve the element models with different time scales. And the simulation platform selects corresponding element models to connect according to the topological structure of the multi-energy complementary energy network to be simulated, sets model parameters according to the simulation system, and simultaneously selects and sets the time constant in the algorithm module. Finally, the simulation of the multi-energy complementary energy network is carried out, so that the dynamic operation curves of all parts of the multi-energy complementary energy network can be obtained, and the dynamic characteristics of the multi-energy complementary energy network can be further researched.
A simulation model shown in figure 1 can be constructed according to an actual multi-energy complementary energy network, wherein the model comprises an electric-thermal gas network, a gas internal combustion engine, a waste heat exchanger, a water storage tank, a waste heat boiler, a gas boiler and the like, and an algorithm module is an algorithm for solving problems with different time scales. Wherein, the English term in the attached figure 1 is as follows: 1 WST: water storage tank No. 1, 2 WST: water tank No. 2, AC: cylinder, Air: air, EE: electric energy, EG: exhaust gas, EHB: exhaust-heat boiler, EJ: cylinder liner, FG: gas, FGG: gas network, GFB: gas-fired boiler, HE: heat exchanger, HN: heat supply network, PG: the system comprises a power grid, a PI controller, a Pm mechanical power, a SM synchronous motor, a CE turbine internal combustion engine, a Valve and Water. According to fig. 1, the operation of the multi-energy complementary energy network can be clearly known, which is as follows: the temperature and the flow of flue gas generated after combustion of gas and air in the cylinder are output to a turbine compressor module as signals to drive a turbine and a compressor to rotate, so that the air is compressed and heated, the temperature and the flow of the air are output to an intercooler, the cooled flow and the temperature are output to the cylinder and the gas to be mixed and combusted after heat exchange between high-temperature air and cooling water in the intercooler, when the cylinder is combusted, the cylinder liner water is heated after passing through the combusted cylinder, and the combustion drives acting to output the power to a synchronous motor to generate electricity. The flow and the temperature of the cooling water of the intercooler after the temperature rise are output to the No. 1 water tank for storage, and the cooling water enters the waste heat exchanger from the No. 1 water tank to exchange heat with the cylinder sleeve water after the temperature rise if necessary, so that the temperature and the flow of the water in the No. 1 water tank after the temperature rise are output to the No. 2 water tank, and the water is used as the input of a waste heat boiler and a gas boiler and is heated by the boiler to generate steam. The PI control process of the synchronous motor comprises the steps that when the active demand of a power grid changes, the control model can control the gas inflow of the internal combustion engine according to the difference value of the target active power and the current active power, and therefore the mechanical efficiency of the generator is adjusted to achieve the aim of synchronously regulating and controlling the output active power. The PI control process of the gas boiler is that the boiler timely adjusts the gas quantity and the water quantity according to the deviation of the outlet steam parameter from the set value, and simultaneously coordinates and controls the action of a related actuating mechanism, so that the control quantity is restored to the specified range, and the production working condition quickly reaches a stable state.
Taking the simulation model in fig. 1 as an example, the model can be divided into three parts according to time scale, ① electricity, gas network, gas turbine and generator, ② waste heat exchanger and water storage tank, ③ waste heat boiler and gas boiler, the algorithm is expressed by the formula as follows:
Figure BDA0001688702100000041
wherein, FiRepresents the ith moiety, XiIs all the outputs of section i, X0Is the input of the whole system, kiIs XiStep i solving procedure, εiIs FiIs used to judge XiWhether it tends to be stable, n is the number of parts into which the system is divided.
FIG. 2 is a diagram of a typical multi-energy complementary energy network model constructed based on a simulation platform according to the present invention; as shown in fig. 2, when the running state of the model at the previous level tends to be stable, the simulation at the next level is started, at this time, the steady-state running state at the previous level is used as the initial data at the next level, and the previous level keeps steady-state running, and so on until all the simulations are finished.
The simulation method of the invention specifically comprises the following steps:
step S1: establishing a nonlinear time domain model which accords with an actual operation state based on the working principle and dynamic characteristics of typical elements in a multi-energy complementary energy network, wherein the model is provided with an input/output interface, and setting windows of all variable parameters in the model are reserved;
step S2: in the multi-energy complementary energy network, the time scales of time domain models of all elements are different, and an algorithm unit is arranged in a simulation platform aiming at the unified solution of different time scale models, wherein the algorithm unit comprises simulation algorithm units with different time scales;
step S3: dividing each element in the built multi-energy complementary energy network simulation model into a plurality of grades according to time scale, and starting the simulation of the next grade when the model operation state of the current grade tends to be stable, wherein the steady state operation state of the previous grade is used as the initial data of the next grade, the previous grade keeps steady state operation, and the process is carried out downwards until all the whole simulations are finished;
step S4: and selecting corresponding elements in the simulation platform to model according to the topological structure and parameters of the actual multi-energy complementary energy network, classifying the models with different time scales in an algorithm unit, and carrying out simulation observation on the dynamic operation curve of the multi-energy complementary energy network.
The simulation platform also provides a packaging element module for realizing rewriting and a new element building module for a provider. The invention also researches the dynamic characteristics of the multi-energy complementary energy network under different operation controls by changing the control parameters.
The foregoing description of specific embodiments of the present invention has been presented. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes or modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention. The embodiments and features of the embodiments of the present application may be combined with each other arbitrarily without conflict.

Claims (3)

1. A simulation method based on a multi-energy complementary energy network is characterized by being realized through a simulation platform, wherein the simulation platform encapsulates a time domain model of a typical element in the multi-energy complementary energy network in advance, a parameter input port is reserved, meanwhile, an algorithm unit is arranged in the simulation platform, the simulation platform selects a corresponding element model to connect according to a topological structure of the multi-energy complementary energy network to be simulated, and model parameters are set according to a simulation system, and the simulation method specifically comprises the following steps:
step S1: establishing a nonlinear time domain model which accords with an actual operation state based on the working principle and dynamic characteristics of typical elements in a multi-energy complementary energy network, wherein the model is provided with an input/output interface, and setting windows of all variable parameters in the model are reserved;
step S2: in the multi-energy complementary energy network, the time scales of time domain models of all elements are different, and an algorithm unit is arranged in a simulation platform aiming at the unified solution of different time scale models, wherein the algorithm unit comprises simulation algorithm units with different time scales;
step S3: dividing each element in the built multi-energy complementary energy network simulation model into a plurality of grades according to time scale, and starting the simulation of the next grade when the model operation state of the current grade tends to be stable, wherein the steady state operation state of the previous grade is used as the initial data of the next grade, the previous grade keeps steady state operation, and the process is carried out downwards until all the whole simulations are finished;
step S4: and selecting corresponding elements in the simulation platform to model according to the topological structure and parameters of the actual multi-energy complementary energy network, classifying the models with different time scales in an algorithm unit, and carrying out simulation observation on the dynamic operation curve of the multi-energy complementary energy network.
2. The simulation method based on the multi-energy complementary energy network as claimed in claim 1, wherein the simulation platform further provides a package element module for realizing rewriting and a new element building module.
3. The simulation method based on the multi-energy complementary energy network as claimed in claim 1, wherein in step S4, the dynamic characteristics of the multi-energy complementary energy network under different operation controls are studied by changing the control parameters.
CN201810581541.6A 2018-06-07 2018-06-07 Simulation method based on multi-energy complementary energy network Active CN108776938B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810581541.6A CN108776938B (en) 2018-06-07 2018-06-07 Simulation method based on multi-energy complementary energy network

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810581541.6A CN108776938B (en) 2018-06-07 2018-06-07 Simulation method based on multi-energy complementary energy network

Publications (2)

Publication Number Publication Date
CN108776938A CN108776938A (en) 2018-11-09
CN108776938B true CN108776938B (en) 2020-01-10

Family

ID=64025620

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810581541.6A Active CN108776938B (en) 2018-06-07 2018-06-07 Simulation method based on multi-energy complementary energy network

Country Status (1)

Country Link
CN (1) CN108776938B (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2858015A1 (en) * 2013-10-04 2015-04-08 Building Research Establishment Ltd System and method for simulation, control and performance monitoring of energy systems
CN105932666A (en) * 2016-05-18 2016-09-07 中国电力科学研究院 Complex distribution network multi-time-scale digital-analog hybrid simulation system and simulation method therefor
CN107910871A (en) * 2017-11-30 2018-04-13 国网天津市电力公司 A kind of energy internet is provided multiple forms of energy to complement each other control method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2858015A1 (en) * 2013-10-04 2015-04-08 Building Research Establishment Ltd System and method for simulation, control and performance monitoring of energy systems
CN105932666A (en) * 2016-05-18 2016-09-07 中国电力科学研究院 Complex distribution network multi-time-scale digital-analog hybrid simulation system and simulation method therefor
CN107910871A (en) * 2017-11-30 2018-04-13 国网天津市电力公司 A kind of energy internet is provided multiple forms of energy to complement each other control method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
多能互补网络建模及动态演化机理初探;梅生伟等;《全球能源互联网》;20180125;第1卷(第1期);第10-22页 *

Also Published As

Publication number Publication date
CN108776938A (en) 2018-11-09

Similar Documents

Publication Publication Date Title
CN107808216B (en) Method for constructing comprehensive minimum optimization model for wind curtailment and electrical thermal load reduction of electricity-gas-heat interconnection system
CN106786509B (en) Based on the thermo-electrically combined scheduling method of more scenario simulations under large-scale wind power integration
Chang et al. Multi-objective optimization of a novel combined cooling, dehumidification and power system using improved M-PSO algorithm
CN111950122A (en) Operation optimization method for park comprehensive energy system
CN110365062B (en) Markov model-based multi-energy system coordination control method
EA025665B1 (en) Method of regulating a plant comprising cogenerating installations and thermodynamic systems intended for air conditioning and/or heating
WO2024109327A1 (en) Integrated energy operation control method and integrated energy system based on multi-energy complementation
CN110163415A (en) A kind of multipotency streaming system multi objective fuzzy cooperative optimization method under Study on Variable Condition Features
CN107394828A (en) A kind of electrical interconnection integrated energy system Optimal Operation Analysis method based on Probabilistic Load Flow
CN113255198B (en) Multi-objective optimization method for combined cooling heating and power supply micro-grid with virtual energy storage
Ancona et al. Application of different modeling approaches to a district heating network
CN104808638A (en) Heat-work conversion and dispatching optimization decision-making assisting system and heat-work conversion and dispatching optimization decision-making assisting method for complementary DMG (distributed multi-generation) system
Shirazi et al. Comparison of control strategies for efficient thermal energy storage to decarbonize residential buildings in cold climates: A focus on solar and biomass sources
CN108776938B (en) Simulation method based on multi-energy complementary energy network
Babahammou et al. Technical modelling and simulation of integrating hydrogen from solar energy into a gas turbine power plant to reduce emissions
Zhou et al. Digital Twin Modeling and Simulation of Distributed and Centralized Integrated Energy System on CloudPSS-IESLab
Wang et al. Dynamic modelling and simulation study of a university campus CHP power plant
CN113344357B (en) Design method of comprehensive energy system based on frequency domain dynamic index
CN115333157A (en) Typhoon-based semi-physical simulation method and system for comprehensive energy microgrid grid-connected island
Yanan et al. Exergy analysis of cogeneration system for the wind–solar–gas turbine combined supply
CN113393053A (en) Equipment model selection optimization method of CCHP system based on prime motor
CN114004075A (en) Multi-objective integrated design and optimal control method and system for comprehensive energy system
CN114066056A (en) Optimal scheduling method and system considering flexibility of thermoelectric cooperative comprehensive energy system
Danti et al. Performance analysis of an optimization management algorithm on a multi-generation small size power plant
Chen et al. Optimization strategy verification of integrated energy system operation based on dynamic simulation

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
GR01 Patent grant
GR01 Patent grant