CN115333157A - Typhoon-based semi-physical simulation method and system for comprehensive energy microgrid grid-connected island - Google Patents
Typhoon-based semi-physical simulation method and system for comprehensive energy microgrid grid-connected island Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/388—Islanding, i.e. disconnection of local power supply from the network
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
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Abstract
The invention provides a Typhoon-based semi-physical simulation method and system for a comprehensive energy microgrid grid-connected island, wherein the method comprises the following steps: dynamic mathematical modeling is carried out on photovoltaic, wind power, energy storage, refrigeration/heating, park load and the like of the comprehensive energy microgrid by adopting an equivalent modeling method based on a Typhoon comprehensive energy microgrid grid-connected/island semi-physical simulation application model, the electricity/heat/gas combined operation characteristics of the comprehensive energy microgrid under the condition of temperature/pressure/gas flow/illumination intensity/wind speed and other factors are simulated, and a comprehensive energy microgrid semi-physical virtual simulation platform is built through Typhoon semi-physical software. The method solves the technical problems of high operation difficulty, single parameter, restriction on comprehensive control and simulation effect and low diversity of the realized energy microgrid function.
Description
Technical Field
The invention relates to the technical field of power engineering, in particular to a Typhoon-based semi-physical simulation method and system for a comprehensive energy micro-grid-connected island.
Background
With the development of new energy and the construction requirements of smart power grids, the mode of single energy supply and independent operation of the traditional power grid is broken through, and the mode of multi-form energy collaborative operation of comprehensive energy microgrid electricity/gas/heat (cold) is adopted, so that the method is an effective measure for improving the energy utilization efficiency and guaranteeing the safe, reasonable and efficient operation of the power grid, and is also the development trend of the future power grid. The comprehensive energy micro-grid can promote the large-scale access of renewable energy sources in a flexible operation mode, reliably supplies loads in various energy forms, and is an important means for transition from a traditional power grid to a smart power grid.
Currently, a plurality of domestic research institutions build various comprehensive energy microgrid exemplary projects through national key projects. However, the integrated energy microgrid has high construction cost, an abnormally complex structure and operation control, and the complex energy management strategy and optimization control method increase the difficulty of real-time operation of the integrated energy microgrid, so that the power/heat/gas combined operation characteristics of the integrated energy microgrid are rarely involved under the condition of the change of factors such as temperature, pressure, gas flow, light intensity, wind speed and the like in the existing semi-physical simulation model. Therefore, most of domestic comprehensive energy microgrid exemplary projects cannot effectively realize various functions of the comprehensive energy microgrid. The traditional invention patent document CN109754680A, namely dSPACE-based microgrid semi-physical simulation system and method, comprises a hardware circuit physical system, an equipment control subsystem, a data information processing system and a hardware circuit physical system, wherein the equipment control subsystem receives a system control instruction of a microgrid monitoring system, controls each equipment in the hardware circuit physical system and transmits data to the microgrid monitoring system; the micro-grid monitoring system is a central controller of a dSPACE-based micro-grid semi-physical simulation system, analyzes energy exchange requirements of the micro-grid system and a public power grid according to data uploaded by the equipment control subsystem, obtains a micro-grid system control instruction, and issues the micro-grid system control instruction to the equipment control subsystem. As can be known from the specification of the existing patent literature, the operation data of the existing scheme mainly displays key parameters of each branch of the microgrid system, including data such as voltage, current, power and electric quantity; the power curves depict the "power-time" curves for each branch; the system parameter setting is used for setting key parameters of the micro-grid system and each device, including information such as an operation mode and fault resetting; the prior art relates to a photovoltaic power generation control model of a photovoltaic DC/AC converter, an energy storage control model of an energy storage DC/AC converter and an energy storage DC/DC converter and a wind power generation control model of a wind power DC/AC converter, however, in the actual simulation process of the prior art, specific logics and modes for processing key parameters such as temperature, pressure, gas flow, illumination intensity, wind speed and the like of the photovoltaic power generation control model and the wind power generation control model are not disclosed, the parameters of the gas turbine and the photovoltaic wind power equipment and the existing power/heat/gas combined operation characteristics of the energy microgrid are not comprehensively processed, and optimal energy distribution between distributed energy sources and loads of the comprehensive energy microgrid cannot be accurately performed. The prior invention patent document CN112421696A, namely a distributed photovoltaic cooperative control simulation method based on information physical fusion, comprises the following steps: s1, establishing a photovoltaic power generation cluster simulation model based on an RT _ LAB real-time simulation tool OPAL-RT; s2, designing an active power balance and distribution cooperative control algorithm of the distributed photovoltaic cluster based on the DSP;
s3, simulating real-time communication between the photovoltaic units based on the OPNET; and S4, simulating load fluctuation of a user side to realize dynamic power distribution balance of the distributed photovoltaic cluster. It can be known from the invention book of the prior art that the prior art considers and processes key parameters such as the illumination intensity and the temperature of the photovoltaic unit in detail, but the prior art only performs cooperative control on the photovoltaic unit and the energy storage device adapted to the photovoltaic unit, and cannot be applied to application scenarios in which the microgrid includes other distributed components such as a gas turbine, and cannot perform cooperative control and simulation on the microgrid including a steam turbine and wind power energy, and cannot effectively realize various functions of the comprehensive energy microgrid.
In conclusion, the prior art has the technical problems of high operation difficulty, single parameter, restriction on comprehensive control and simulation effect and low diversity of the realized energy microgrid function.
Disclosure of Invention
The technical problem to be solved by the invention is how to solve the technical problems of high operation difficulty, single parameter, restriction on comprehensive control and simulation effect and low diversity of realized energy microgrid functions in the prior art.
The invention adopts the following technical scheme to solve the technical problems: a Typhoon-based semi-physical simulation method for a comprehensive energy microgrid grid-connected island comprises the following steps:
s1, carrying out dynamic data modeling on a micro gas turbine, a photovoltaic unit, a wind power unit, an electric boiler heating, electric heating refrigeration, electrochemical energy storage, cold, heat and power loads and the like by using an equivalent numerical analysis method, and constructing an energy microgrid mathematical model;
s2, establishing a comprehensive energy microgrid semi-physical simulation module for the comprehensive energy microgrid system according to the energy microgrid mathematical model;
s3, acquiring temperature working condition data, illumination airflow working condition data and pressure change working condition data of the energy microgrid, and processing the data to obtain different working condition energy conversion response characteristic parameters of the comprehensive energy microgrid system;
s4, building a digital coordination controller of the comprehensive energy microgrid system by using Typhoon semi-physical simulation software, and accordingly building a semi-physical simulation model of the comprehensive energy microgrid system to build a comprehensive energy microgrid semi-physical virtual simulation platform;
and S5, analyzing the flexible start and stop of each distributed energy source, switching between an island mode and a grid-connected mode in the comprehensive energy micro-grid system according to the operation principle of electricity-based heat determination and heat-based electricity determination, analyzing and acquiring optimal energy distribution data among the energy micro-grid, the distributed energy sources and the distributed loads, and performing numerical verification on the dynamic conversion characteristic and the distribution strategy of electricity/heat/cold flow of the comprehensive energy micro-grid.
The integrated energy microgrid grid-connected/island semi-physical simulation application model provided by the invention adopts an equivalent modeling mode to carry out dynamic mathematical modeling on photovoltaic, wind power, energy storage, refrigeration/heating, park load and the like of the integrated energy microgrid, accurately simulates the electricity/heat/gas combined operation characteristics of the integrated energy microgrid under the condition of temperature/pressure intensity/gas flow rate/illumination intensity/wind speed and other factor changes, and establishes an integrated energy microgrid semi-physical virtual simulation platform through Typhoon semi-physical software.
In a more specific technical solution, the step S1 includes:
s11, setting the illumination intensity S and the working temperature T of the photovoltaic unit, obtaining and calculating the short-circuit current Isc, the open-circuit voltage Uoc, the maximum power point current Im and the maximum power point voltage Um of the photovoltaic module according to preset correction logic according to the variation delta S of the illumination intensity S and the variation delta T of the working temperature T, wherein the short-circuit current Isc, the open-circuit voltage Uoc, the maximum power point current Im and the maximum power point voltage Um of the photovoltaic module are calculated according to the following correction logic:
wherein, a =0.0025, b =0.5, c =0.00288;
s12, setting series-parallel data of photovoltaic array components in the photovoltaic units, obtaining UI output characteristic curves of the photovoltaic units through preset logic calculation, and obtaining photovoltaic unit output power according to maximum power points of the photovoltaic units to obtain photovoltaic unit mathematical models;
s13, calculating in real time according to the predicted wind speed v of the wind power plant and the output data of the wind power plant of the cubic fitting curve, and constructing and obtaining a mathematical model of the output of the wind power plant;
s14, setting operation parameters of the air compressor, and dynamically modeling the output power of the air compressor according to preset logic; setting the operation parameters of the heat regenerator, and dynamically modeling the gas side heat exchange process of the heat regenerator according to preset logic; calculating a combustor inlet air flow rate to match an outlet temperature of the combustor according to a heat balance equation
Carrying out dynamic modeling; dynamically modeling the turbine power and the rotor of the gas turbine; setting lithium bromide absorption type refrigeratorThe flue gas outlet temperature of the hot water unit is used for calculating the waste heat quantity and the waste heat refrigerating capacity of the gas turbine, dynamically modeling the heat transfer quantity Q of the electric boiler according to the heat loss of the electric boiler, and dynamically modeling the electric heating refrigerating capacity according to the refrigerating capacity;
s15, simulating and obtaining a charging and discharging process of the energy storage battery by using a PNGV equivalent model, dynamically modeling the energy storage battery by using the PNGV equivalent model, and calculating the external voltage characteristic of the energy storage battery;
and S16, simulating an electric load and a heat load in the comprehensive energy microgrid.
In a more specific technical solution, in step S12, a UI output characteristic curve of the photovoltaic unit is obtained by the following logic calculation:
in a more specific embodiment, step S14 includes:
s141, setting the flow m of the compressor c Total inlet temperature T 1 * Pressure ratio of pi c And the parameters are equal, so that the output power of the compressor is dynamically modeled according to the following logic:
wherein, c pa =904.6, air constant pressure specific heat capacity [ J/(Kg.K)]，m a ＝0.286；
S142, setting the outlet air temperature of the heat regenerator
Gas outlet temperature
The gas side heat exchange process of the regenerator is dynamically modeled using the following logic:
wherein alpha is a As heat exchange coefficient, F a And F g Is the heat exchange area;
s143, calculating the flow rate m of the inlet air of the combustion chamber B ＝(1-g)m c According to the heat balance equation to the outlet temperature of the combustion chamber
And (3) carrying out dynamic modeling:
wherein m is f For fuel consumption, Q u A lower calorific value of the fuel, c pg The specific heat capacity is constant pressure for the fuel gas;
s144, dynamically modeling the turbine power by the following logic:
wherein, pi T Is the turbo expansion ratio, n T The turbine efficiency;
s145, dynamically modeling the gas turbine rotor according to the following logic:
N e ＝N T -N c -N m
wherein N is m Mechanical power loss;
s146, setting the temperature of a smoke outlet of the lithium bromide absorption type cold and hot water unit to be unchanged, and calculating the waste heat quantity of the gas turbine according to the following logic:
Q P ＝F MGT (1-η e )；
and calculating the waste heat refrigerating capacity of the gas turbine according to the following logic:
Q C ＝Q P ·η rec ·COP
Q H ＝Q P ·η rec ·η AC
wherein, F MGT For micro-combustion engine fuel consumption, eta e To the efficiency of the power generation; eta rec The utilization rate of waste heat is obtained; COP is the refrigeration coefficient;
s147, according to the heat loss epsilon of the electric boiler a Dynamically modeling the heat transfer quantity Q of the electric boiler according to the following logic:
Q＝ε a P；
s149, dynamically modeling the electric heating refrigerating capacity according to the following logic:
Q c ＝Q P -0.5Q J -Q K
wherein Q is C For cooling capacity of thermocouple pair, Q P Is Peltier heat, Q J Is Joule heat, Q K Is heat.
According to the invention, the electricity/heat/gas combined operation characteristic of the comprehensive energy microgrid is accurately simulated by adopting a dynamic mathematical modeling method, a Typhoon is utilized to establish a semi-physical virtual simulation platform of the comprehensive energy microgrid, and the electricity/heat/gas combined operation condition under an isolated island/grid-connected operation mode of the comprehensive energy microgrid can be accurately simulated, so that the technical application of the comprehensive energy microgrid is realized.
In a more specific technical solution, in step S15, the external voltage characteristic of the energy storage battery is calculated by using the following logic:
wherein R is 0 Is ohmic internal resistance, R PN For polarizing internal resistance, C PN As its polarization capacitance, I L For its load current, U battery Is terminal voltage, U oc For open-circuit voltage of energy-storage battery, C b Is the accumulated capacitance.
In a more specific technical solution, step S2 includes:
s21, constructing a micro gas turbine simulation module according to the energy microgrid mathematical model, wherein the micro gas turbine simulation module comprises: the system comprises a compressor submodule, an inertia submodule, a heat regenerator submodule, a combustion chamber submodule and a turbine submodule;
s22, building simulation sub-modules of a photovoltaic unit, a wind power unit, an electric boiler heating module, an electric heating refrigeration module, an electrochemical energy storage module and a cold, heat and power load module according to the energy micro-grid mathematical model.
In a more specific technical solution, the step S3 includes:
s31, under the conditions of different temperatures and different illumination intensities, calculating the output power of the photovoltaic unit according to the maximum power point, and accordingly constructing the operating characteristics of the photovoltaic unit;
s32, under the condition of different wind speeds, calculating the output power of the wind power unit so as to construct the operating characteristics of the branch store units;
and S33, analyzing the variation trend of the micro gas turbine along with the reduction of the fuel quantity under the condition of the difference fuel flow so as to construct the operating characteristics of the output power of the gas turbine.
In a more specific technical solution, step S4 includes:
s41, processing a control mode that a three-phase inverter is adopted by the photovoltaic unit by the Typhoon semi-physical simulation software according to the mathematical model and the operating characteristics of the photovoltaic unit, and constructing a photovoltaic semi-physical simulation module;
s42, processing that the wind power unit adopts a three-stage AC/DC/AC control mode by using the wind power unit mathematical model and the operation characteristics thereof so as to construct a wind power semi-physical simulation module;
s43, controlling the micro gas turbine unit to input environmental pressure, air flow and fuel quantity at an inlet of the air compressor, and constructing a semi-physical simulation module of the micro gas turbine;
s44, acquiring and processing energy storage battery type data and PCC three-phase grid-connected inverter parameters, and constructing a semi-physical simulation module of the battery energy storage system by combining the PNGV equivalent model;
s45, acquiring and processing a dynamic mathematical model of the cooling, heating and power load of the park to construct a semi-physical simulation module of the cooling, heating and power load of the park.
Aiming at the real-time operation performance of the comprehensive energy microgrid, the semi-physical virtual simulation platform of the comprehensive energy microgrid is established, the performance simulation of the comprehensive energy microgrid in multiple aspects is carried out, the various functions of the comprehensive energy microgrid are comprehensively simulated, the difficulty and the cost of the real-time operation of the comprehensive energy microgrid are reduced, and powerful theoretical support is provided for the construction and the real-time operation of the comprehensive energy microgrid.
In a more specific embodiment, step S5 includes:
s51, under a grid-connected mode, establishing a comprehensive energy microgrid electricity/heat/gas combined operation live characteristic according to the operation principle of electricity heat determination and electricity by heat determination;
s52, under an island mode, establishing a comprehensive energy microgrid electricity/heat/gas combined operation live characteristic according to the operation principle of electricity heat determination and heat-to-electricity determination;
and S53, analyzing the stability of the comprehensive energy microgrid system in the switching state of the island mode and the grid-connected mode, and smoothly switching the island mode and the grid-connected mode.
The Typhoon-based integrated energy microgrid grid-connected/island semi-physical simulation application model can effectively realize flexible starting and stopping of each distributed energy of the integrated energy microgrid, switching between island and grid-connected modes and optimal energy distribution among a power grid, each distributed energy and loads, and microgrid coordination control is presented in a digital model mode, so that engineering application is facilitated, and a certain foundation is laid for practical application of the integrated energy microgrid.
In a more specific technical scheme, the Typhoon-based integrated energy microgrid grid-connected island semi-physical simulation system comprises:
the energy microgrid model building module is used for performing dynamic data modeling on a micro gas turbine, a photovoltaic unit, a wind power unit, an electric boiler heating, electric heating and refrigerating, electrochemical energy storage, cold, heat and electricity loads and the like by using an equivalent numerical analysis method so as to build an energy microgrid mathematical model, and the step S1 comprises the following steps:
the photovoltaic parameter processing module is used for setting the illumination intensity S and the working temperature T of the photovoltaic unit, acquiring and calculating the short-circuit current Isc, the open-circuit voltage Uoc, the maximum power point current Im and the maximum power point voltage Um of the photovoltaic module according to preset correction logic according to the variation delta S of the illumination intensity S and the variation delta T of the working temperature T;
the photovoltaic model building module is used for setting series-parallel data of photovoltaic array components in the photovoltaic unit, obtaining a UI output characteristic curve of the photovoltaic unit through preset logic calculation, obtaining photovoltaic unit output power according to the maximum power point of the photovoltaic unit to obtain a photovoltaic unit mathematical model, and the photovoltaic parameter processing module is connected with the photovoltaic unit building module;
the wind power model building module is used for carrying out real-time calculation according to the predicted wind speed v of the wind power plant and the output data of the wind power plant of the cubic fitting curve so as to build and obtain a mathematical model of the output of the wind power plant;
the gas turbine model building module is used for setting the operation parameters of the gas compressor and dynamically modeling the output power of the gas compressor according to preset logic; setting operation parameters of the heat regenerator, and carrying out dynamic modeling on the gas side heat exchange process of the heat regenerator according to preset logic; calculating a combustor inlet air flow to match an outlet temperature of the combustor according to a heat balance equation
Carrying out dynamic modeling; dynamically modeling the turbine power and the rotor of the gas turbine; setting the temperature of a smoke outlet of the lithium bromide absorption type cold and hot water unit, calculating the waste heat quantity and the waste heat refrigerating capacity of the gas turbine, dynamically modeling the heat transfer quantity Q of the electric boiler according to the heat loss of the electric boiler, and obtaining and dynamically modeling the electric heating refrigerating capacity according to the refrigerating capacity;
the energy storage voltage external characteristic processing module is used for simulating and acquiring the charging and discharging process of the energy storage battery by utilizing a PNGV equivalent model, dynamically modeling the energy storage battery by adopting the PNGV equivalent model and calculating the voltage external characteristic of the energy storage battery;
the load simulation module is used for simulating an electric load and a heat load in the comprehensive energy microgrid, and is connected with the photovoltaic model construction module, the wind power model construction module, the gas turbine model construction module and the energy storage voltage external characteristic processing module;
the comprehensive energy microgrid semi-physical simulation processing module is used for establishing a comprehensive energy microgrid semi-physical simulation module for the comprehensive energy microgrid system according to the energy microgrid mathematical model;
the response characteristic processing module is used for acquiring temperature working condition data, illumination airflow working condition data and pressure change working condition data of the energy microgrid and processing the data to obtain difference working condition energy conversion response characteristic parameters of the comprehensive energy microgrid system;
the simulation platform establishing module is used for utilizing Typhoon semi-physical simulation software to establish a digital coordination controller of the comprehensive energy microgrid system so as to establish a semi-physical simulation model of the comprehensive energy microgrid system and establish a comprehensive energy microgrid semi-physical virtual simulation platform;
the numerical verification module is used for analyzing flexible starting and stopping of each distributed energy source, switching between an island mode and a grid-connected mode in the comprehensive energy microgrid system according to an operation principle of electricity-based heat determination and electricity-based heat determination, analyzing and acquiring optimal energy distribution data among the energy microgrid, the distributed energy sources and distributed loads, and performing numerical verification on dynamic conversion characteristics and distribution strategies of electricity/heat/cold flow of the comprehensive energy microgrid, and is connected with the load simulation module and the comprehensive energy microgrid semi-physical simulation processing module.
Compared with the prior art, the invention has the following advantages: the comprehensive energy microgrid grid-connected/island semi-physical simulation application model provided by the invention adopts an equivalent modeling mode to perform dynamic mathematical modeling on photovoltaic, wind power, energy storage, refrigeration/heating, park load and the like of the comprehensive energy microgrid, accurately simulates the electricity/heat/gas combined operation characteristics of the comprehensive energy microgrid under the condition of temperature/pressure/gas flow/illumination intensity/wind speed and other factor changes, and establishes a comprehensive energy microgrid semi-physical virtual simulation platform through Typhoon semi-physical software.
According to the invention, the electricity/heat/gas combined operation characteristic of the comprehensive energy microgrid is accurately simulated by adopting a dynamic mathematical modeling method, a Typhoon is utilized to establish a semi-physical virtual simulation platform of the comprehensive energy microgrid, and the electricity/heat/gas combined operation condition under an isolated island/grid-connected operation mode of the comprehensive energy microgrid can be accurately simulated, so that the technical application of the comprehensive energy microgrid is realized.
According to the invention, aiming at the real-time operation performance of the comprehensive energy microgrid, a semi-physical virtual simulation platform of the comprehensive energy microgrid is established, so that the performance simulation of the comprehensive energy microgrid in various aspects is carried out, the various functions of the comprehensive energy microgrid are comprehensively simulated, the difficulty and the cost of the real-time operation of the comprehensive energy microgrid are reduced, and a powerful theoretical support is provided for the construction and the real-time operation of the comprehensive energy microgrid.
The Typhoon-based semi-physical simulation application model of the comprehensive energy microgrid grid-connected/island can effectively realize the flexible start and stop of each distributed energy of the comprehensive energy microgrid, the switching between the island and grid-connected modes and the optimal energy distribution among the power grid, each distributed energy and loads, and the microgrid coordinated control is presented in a digital model mode, thereby facilitating the engineering application and laying a certain foundation for the practical application of the comprehensive energy microgrid. The invention solves the technical problems of high operation difficulty, single parameter, restriction on comprehensive control and simulation effect and low diversity of the realized energy microgrid function in the prior art.
Drawings
Fig. 1 is a schematic diagram of basic steps of a Typhoon-based semi-physical simulation method and system for a comprehensive energy microgrid grid-connected island in embodiment 1 of the present invention;
fig. 2 is a schematic diagram of a specific step of dynamic mathematical modeling of the integrated energy microgrid in embodiment 1 of the present invention;
FIG. 3 is a schematic diagram of the maximum output power of a photovoltaic unit at different temperatures and illumination intensities according to example 1 of the present invention;
FIG. 4 is a schematic structural view of a micro gas turbine according to embodiment 1 of the present invention;
fig. 5 is a schematic diagram of an equivalent circuit model of an energy storage battery according to embodiment 1 of the present invention;
fig. 6 is a schematic diagram of specific steps of a simulation module for establishing an integrated energy microgrid in embodiment 1 of the present invention;
fig. 7 is a schematic diagram of specific steps of establishing an energy conversion response characteristic of the integrated energy microgrid system according to embodiment 1 of the present invention;
FIG. 8 is a schematic diagram showing the variation trend of the output power of the micro gas turbine at different fuel flow rates in example 1 of the present invention;
fig. 9 is a schematic diagram of specific steps of establishing a comprehensive energy microgrid semi-physical virtual simulation platform in embodiment 1 of the present invention;
fig. 10 is a schematic diagram of a semi-physical simulation module of the integrated energy microgrid in embodiment 1 of the present invention;
fig. 11 is a schematic diagram of a semi-physical simulation module of the energy storage system according to embodiment 1 of the present invention;
fig. 12 is a schematic diagram of a semi-physical simulation module of a photovoltaic system according to embodiment 1 of the present invention;
fig. 13 is a schematic diagram of a semi-physical simulation platform of the campus comprehensive energy microgrid in embodiment 1 of the present invention;
FIG. 14 is a diagram illustrating the specific steps of numerical verification in example 1 of the present invention;
fig. 15 is a schematic diagram of a simulation waveform of the comprehensive energy microgrid in embodiment 1 of the present invention based on the operation principle of "power by heat" in the grid-connected mode;
fig. 16 is a schematic diagram of a simulation waveform of the integrated energy microgrid according to an operation principle of "power on demand and heat" in an island mode in embodiment 1 of the present invention;
fig. 17 is a schematic waveform diagram of the indoor air conditioning temperature in the islanding mode according to embodiment 1 of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
Example 1
As shown in fig. 1, in this embodiment, a Typhoon-based semi-physical simulation application model for grid-connected/isolated island integrated energy microgrid is provided, where the Typhoon-based semi-physical simulation method for grid-connected/isolated island integrated energy microgrid includes the steps of dynamic mathematical modeling of integrated energy microgrid, combined operation characteristics of electricity, heat and gas, a semi-physical virtual simulation platform for integrated energy microgrid, and integrated energy microgrid simulation application, and the specific steps include:
s1, aiming at each component of the comprehensive energy microgrid, carrying out dynamic mathematical modeling on a micro gas turbine, a photovoltaic unit, a wind power unit, an electric boiler for heating, electric heating and refrigerating, electrochemical energy storage, cold, heat and electricity loads and the like by using an equivalent numerical analysis method, constructing corresponding mathematical models of the components, and finishing theoretical modeling of semi-physical simulation application;
s2, establishing a semi-physical simulation module of the comprehensive energy microgrid according to mathematical models of a micro gas turbine, a photovoltaic unit, a wind power unit, an electric boiler for heating, electric heating and refrigerating, electrochemical energy storage, cold, heat and electricity loads and the like;
s3, integrating energy conversion response characteristics of the energy microgrid system under the working conditions of temperature change, illumination intensity change, air flow/pressure change and the like;
s4, utilizing Typhoon semi-physical simulation software to build digital coordination controllers of all components of the comprehensive energy microgrid and build a semi-physical simulation model of the comprehensive energy microgrid so as to build a semi-physical virtual simulation platform of the comprehensive energy microgrid;
and S5, analyzing the flexible start and stop of each distributed energy source, the switching between an island mode and a grid-connected mode and the optimal energy distribution among a power grid, each distributed energy source and loads under the operation principles of 'electricity-based heat determination' and 'heat-based electricity determination', and carrying out numerical verification on the dynamic conversion characteristics and the distribution strategy of the electricity/heat/cold flow of the comprehensive energy microgrid.
As shown in fig. 2, the specific steps of the dynamic mathematical modeling of the integrated energy microgrid in step S1 include:
referring to fig. 3, in step S11, the illumination intensity S and the working temperature T of the photovoltaic unit are set, and the variation Δ S of the illumination intensity and the variation Δ T of the working temperature are considered, according to the correction formula:
s12, setting the photovoltaic array to be formed by connecting Ns components in series and Np components in parallel according to a calculation formula
Obtaining a UI output characteristic curve of the photovoltaic unit, and obtaining the output power of the photovoltaic unit according to the maximum power point of the photovoltaic unit;
s13, calculating the output of the wind power plant by using a cubic fitting curve in real time according to the predicted wind speed v of the wind power plant so as to construct a mathematical model of the output of the wind power plant;
as shown in FIG. 4, step S14, setting compressor flow mc, inlet total temperature T 1 * Pressure ratio of pi c Equal parameters according to the formula
Dynamic modeling is carried out on the output power of the compressor, wherein cpa =904.6 is the constant-pressure specific heat capacity [ J/(Kg.K) of air]And ma =0.286. In the present exemplary embodiment, a micro gas turbine is connected to the power grid 1, wherein the micro gas turbine comprises: the system comprises a compressor 2, a heat regenerator 3, a combustion chamber 4, a turbine rotor 5, a generator 6 and a lithium bromide absorption type cold and hot water unit 7. In the embodiment, air enters the micro gas turbine through the compressor 2, the air enters the heat regenerator 3 and the combustion chamber 4 in sequence after being pressurized by the compressor 2 for heating treatment, the air enters the turbine rotor 5 together with natural gas after being pressurized and heated for combustion, and mechanical energy generated by rotation of the turbine rotor 5 generates electricity in the generator 6The waste heat generated by the turbine rotor 5 is transferred to the lithium bromide absorption type cold and hot water unit 7 to perform refrigeration and heating.
Step S15, setting the air temperature at the outlet of the heat regenerator
Gas outlet temperature
According to the formula
Dynamic modeling of regenerator gas side heat exchange process, alpha a As heat exchange coefficient, F a And F g Is the heat exchange area;
step S16, calculating the air flow m of the inlet of the combustion chamber B ＝(1-g)m c According to the heat balance equation
To the outlet temperature of the combustion chamber
Dynamic modeling is performed, where mf is fuel consumption, Q u A lower calorific value of the fuel, c pg The specific heat capacity is constant pressure for the fuel gas;
step S17, according to the formula
Dynamic modeling of turbine power, where pi T Is the turbo expansion ratio, n T The turbine efficiency;
step S18, according to the formula N e ＝N T -N c -N m The dynamic modeling is carried out on the gas turbine rotor, wherein Nm is mechanical loss power.
S19, assuming that the temperature of the smoke outlet of the lithium bromide absorption type cold and hot water unit is not changed, and according to a formula Q P ＝F MGT (1-η e ) The waste heat quantity of the fuel turbine is effectively calculated; according to the formulaQ C ＝Q P ·η rec COP calculates the residual heat refrigerating capacity of the combustion turbine according to the formula Q H ＝Q P ·η rec ·η AC Calculating the residual heat refrigerating capacity of the steam turbine, wherein FMGT is the fuel consumption of the micro-combustion engine, and eta e is the power generation efficiency; η rec is the utilization rate of waste heat; COP is the refrigeration coefficient;
step S110, considering the heat loss ε a of the electric boiler, and according to the formula Q = ε a P, dynamically modeling the heat transfer quantity Q of the electric boiler;
step S111, considering refrigerating capacity as the difference between the Peltier heat and the Joule heat and heat transferred to the cold end, and according to a formula Q c ＝Q P -0.5Q J -Q K And dynamically modeling the electric heating refrigerating capacity, wherein QC is the refrigerating capacity of a thermocouple pair, QP is Peltier heat, QJ is Joule heat, and QK is heat.
As shown in fig. 5, step S112 is to consider that the PNGV equivalent model is used to accurately simulate the charging and discharging process of the lithium battery, dynamically model the energy storage battery by using the PNGV equivalent model, and use a formula
Calculating the voltage external characteristic of the energy storage battery, wherein R 0 Is ohmic internal resistance, R PN For polarizing internal resistance, C PN For its polarization capacitance, I L For its load current, U battery Is terminal voltage, U oc For open-circuit voltage of energy-storage battery, C b To accumulate capacitance.
And S113, in the comprehensive energy microgrid, considering that the electric load is an industrial electric load, simulating by using a resistance-induction load, considering that the heat load is water boiling of an electric boiler, simulating by using water temperature, considering that the cold load is an indoor air conditioning load, and simulating by using indoor temperature.
As shown in fig. 6, the specific steps of establishing the simulation module of the integrated energy microgrid in step S2 are as follows:
s21, the micro gas turbine simulation module comprises a gas compressor module, an inertia module, a heat regenerator module, a combustion chamber module and a turbine module, which are connected together through heat transfer of gas, and each part is constructed according to a mathematical model of the part;
and S22, building simulation modules of the photovoltaic unit, the wind power unit, the electric boiler heating module, the electric heating refrigeration module, the electrochemical energy storage module and the cold, heat and electricity load according to dynamic mathematical models of the simulation modules.
As shown in fig. 7 and 8, the specific steps of establishing the energy conversion response characteristic of the integrated energy microgrid system in step S3 include:
s31, calculating the output power of the photovoltaic unit according to the maximum power point under different temperatures and illumination intensities, and constructing the operating characteristics of the photovoltaic unit;
s32, calculating the output power of the wind power unit at different wind speeds, and constructing the operating characteristics of the wind power unit;
and S33, analyzing the variation trend of the micro gas turbine along with the reduction of the fuel quantity under different fuel flow rates, and constructing the operating characteristics of the output power of the gas turbine.
As shown in fig. 9 to 13, the specific steps of establishing the integrated energy microgrid semi-physical virtual simulation platform in step S4 include:
s41, under the Typhoon environment, a semi-physical simulation module of the photovoltaic system is constructed by utilizing a mathematical model of the photovoltaic unit and the operating characteristics thereof and considering that the photovoltaic system adopts a control mode of a three-phase inverter;
s42, under the Typhoon environment, a semi-physical simulation module of the wind power system is constructed by utilizing a mathematical model and the operating characteristics of the wind power unit and considering that the wind power system adopts a three-stage AC/DC/AC control mode;
s43, in a Typhoon environment, considering that a micro gas turbine unit consists of an air engine, a heat regenerator, a combustion chamber, a turbine and a generator, controlling and inputting environmental pressure, air flow and fuel quantity at an inlet of a gas compressor, and constructing a semi-physical simulation module of the micro gas turbine;
s44, under the Typhoon environment, considering that the energy storage battery is a lithium ion battery, and constructing a semi-physical simulation module of the battery energy storage system by adopting a PCC three-phase grid-connected inverter and combining a PNGV equivalent model of the energy storage battery;
and S45, constructing a corresponding semi-physical simulation module according to the dynamic mathematical model of the cold, heat and power loads of the park in the Typhoon environment.
As shown in fig. 10, in this embodiment, the semi-physical simulation module of the integrated energy microgrid includes:
a microgrid controller 1;
a main network 2 connected with the data acquisition unit 3;
the transformer comprises a first transformer 4, a second transformer 5, a third transformer 6, a fourth transformer 7 and a fifth transformer 8, wherein the transformers are connected with the data acquisition unit 3 through an alternating current bus;
the energy storage battery 9 is connected with the data acquisition unit 3 through the first transformer 4;
the wind power unit 10 is connected with the data acquisition unit 3 through a second transformer 5;
a photovoltaic unit 11 connected to the data acquisition unit 3 through a third transformer 6;
a gas turbine 12 connected to the data acquisition unit 3 via a fourth transformer 7;
the air-conditioning cold load 13, the electric boiler heat load 14 and the industrial electric load 15 are connected with the data acquisition unit 3 through a fifth transformer 8.
As shown in fig. 11, in this embodiment, the semi-physical simulation module of the energy storage system includes:
a battery anode 1 'connected with an anode plate of the capacitor 2';
a battery cathode 3 'connected to the cathode plate of the capacitor 2';
the two ends of the voltmeter 4' are respectively connected with the battery anode 1' and the battery cathode 3';
an ammeter 5' connected in series with the capacitor 2' and the voltmeter 4 ';
the inverter bridge 6' is sequentially connected with a resistor 7', a filter inductor 8' and a measuring unit 10' and is also connected with a control signal end 11';
a first end of the filter capacitor 9 'is connected with the measuring unit 10', and a second end is grounded;
a measurement unit 10 'connected to a grid signal measurement assembly 12';
grid signal measurement assembly 12' is connected to the three-phase ac bus.
As shown in fig. 12, in this embodiment, the semi-physical simulation module of the photovoltaic system includes:
a control signal enable terminal 101 connected to the delay link component 103;
a photovoltaic 102 connected to a photovoltaic system inverter bridge 104;
the photovoltaic system inverter bridge 104 is respectively connected with a driving signal terminal 105 and a filter inductor 106;
the first photovoltaic filter inductor 106 is connected with a photovoltaic system ammeter 107;
a photovoltaic system filter capacitor 108, an anode plate of which is connected with the photovoltaic system ammeter 107, and a cathode plate of which is connected with the filter inductor 109;
the second photovoltaic filter inductor 109 is connected to a control switch 110, and the control switch 110 is connected to a three-phase ac bus.
As shown in fig. 14 to 16, the specific steps of the value verification in step S5 include:
s51, under a grid-connected mode, respectively considering the operation principles of 'electricity for heat determination' and 'heat for electricity determination', analyzing the optimal energy distribution among all distributed energy sources and loads, and establishing the electricity/heat/gas combined operation live characteristics of the comprehensive energy microgrid;
step S52, in an island mode, respectively considering the operation principles of 'electricity for heat determination' and 'heat for electricity determination', analyzing the optimal energy distribution among all distributed energy sources and loads, and establishing the electricity/heat/gas combined operation live characteristics of the comprehensive energy microgrid;
and S53, analyzing the stability of the comprehensive energy microgrid system under the conversion of the island and grid-connected modes, and realizing the smooth switching of the island and grid-connected modes.
In conclusion, the integrated energy microgrid grid-connected/isolated island semi-physical simulation application model provided by the invention adopts an equivalent modeling mode to perform dynamic mathematical modeling on photovoltaic, wind power, energy storage, refrigeration/heating, park load and the like of the integrated energy microgrid, accurately simulates the electricity/heat/gas combined operation characteristics of the integrated energy microgrid under the condition of temperature/pressure/gas flow/illumination intensity/wind speed and other factor changes, and establishes an integrated energy microgrid semi-physical virtual simulation platform through Typhoon semi-physical software.
According to the invention, the electricity/heat/gas combined operation characteristic of the comprehensive energy microgrid is accurately simulated by adopting a dynamic mathematical modeling method, a Typhoon is utilized to establish a semi-physical virtual simulation platform of the comprehensive energy microgrid, and the electricity/heat/gas combined operation condition under an isolated island/grid-connected operation mode of the comprehensive energy microgrid can be accurately simulated, so that the technical application of the comprehensive energy microgrid is realized.
According to the invention, aiming at the real-time operation performance of the comprehensive energy microgrid, a semi-physical virtual simulation platform of the comprehensive energy microgrid is established, so that the performance simulation of the comprehensive energy microgrid in various aspects is carried out, the various functions of the comprehensive energy microgrid are comprehensively simulated, the difficulty and the cost of the real-time operation of the comprehensive energy microgrid are reduced, and a powerful theoretical support is provided for the construction and the real-time operation of the comprehensive energy microgrid.
The Typhoon-based integrated energy microgrid grid-connected/island semi-physical simulation application model can effectively realize flexible starting and stopping of each distributed energy of the integrated energy microgrid, switching between island and grid-connected modes and optimal energy distribution among a power grid, each distributed energy and loads, and microgrid coordination control is presented in a digital model mode, so that engineering application is facilitated, and a certain foundation is laid for practical application of the integrated energy microgrid. The invention solves the technical problems of high operation difficulty, single parameter, restriction on comprehensive control and simulation effect and low diversity of the realized energy microgrid function in the prior art.
The above examples are only intended to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A Typhoon-based semi-physical simulation method for a comprehensive energy microgrid grid-connected island is characterized by comprising the following steps:
s1, carrying out dynamic data modeling on a micro gas turbine, a photovoltaic unit, a wind power unit, an electric boiler heating, electric heating refrigeration, electrochemical energy storage, cold, heat and power loads and the like by using an equivalent numerical analysis method, and constructing an energy microgrid mathematical model;
s2, establishing a comprehensive energy microgrid semi-physical simulation module for the comprehensive energy microgrid system according to the energy microgrid mathematical model;
s3, acquiring temperature working condition data, illumination airflow working condition data and pressure change working condition data of the energy microgrid, and processing the data to obtain different working condition energy conversion response characteristic parameters of the comprehensive energy microgrid system;
s4, building a digital coordination controller of the comprehensive energy microgrid system by using Typhoon semi-physical simulation software, and accordingly building a semi-physical simulation model of the comprehensive energy microgrid system to build a comprehensive energy microgrid semi-physical virtual simulation platform;
and S5, analyzing the flexible start and stop of each distributed energy source, switching between an island mode and a grid-connected mode in the comprehensive energy micro-grid system according to the operation principle of electricity-based heat determination and heat-based electricity determination, analyzing and acquiring optimal energy distribution data among the energy micro-grid, the distributed energy sources and the distributed loads, and performing numerical verification on the dynamic conversion characteristic and the distribution strategy of electricity/heat/cold flow of the comprehensive energy micro-grid.
2. The Typhoon-based semi-physical simulation method for the comprehensive energy microgrid grid-connected island, according to claim 1, wherein the step S1 comprises:
s11, setting the illumination intensity S and the working temperature T of the photovoltaic unit, obtaining and calculating the short-circuit current Isc, the open-circuit voltage Uoc, the maximum power point current Im and the maximum power point voltage Um of the photovoltaic module according to preset correction logic according to the variation delta S of the illumination intensity S and the variation delta T of the working temperature T, wherein the short-circuit current Isc, the open-circuit voltage Uoc, the maximum power point current Im and the maximum power point voltage Um of the photovoltaic module are calculated according to the following correction logic:
wherein, a =0.0025, b =0.5, c =0.00288;
s12, setting series-parallel data of photovoltaic array components in the photovoltaic units, obtaining UI output characteristic curves of the photovoltaic units through preset logic calculation, and obtaining photovoltaic unit output power according to maximum power points of the photovoltaic units to obtain photovoltaic unit mathematical models;
s13, calculating in real time according to the predicted wind speed v of the wind power plant and the output data of the wind power plant of the cubic fitting curve, and constructing and obtaining a mathematical model of the output of the wind power plant;
s14, setting operation parameters of the air compressor, and dynamically modeling the output power of the air compressor according to preset logic; setting operation parameters of the heat regenerator, and carrying out dynamic modeling on the gas side heat exchange process of the heat regenerator according to preset logic; calculating a combustor inlet air flow rate to match an outlet temperature of the combustor according to a heat balance equation
Carrying out dynamic modeling; dynamically modeling the turbine power and the rotor of the gas turbine; setting the temperature of a flue gas outlet of the lithium bromide absorption type cold and hot water unit, calculating the waste heat quantity and the waste heat refrigerating capacity of the gas turbine, dynamically modeling the heat transfer quantity Q of the electric boiler according to the heat loss of the electric boiler, and obtaining and dynamically modeling the electric heating refrigerating capacity according to the refrigerating capacity;
s15, simulating and obtaining a charging and discharging process of the energy storage battery by using a PNGV equivalent model, dynamically modeling the energy storage battery by using the PNGV equivalent model, and calculating the external voltage characteristic of the energy storage battery;
and S16, simulating an electric load and a heat load in the comprehensive energy microgrid.
3. According to claim 2The Typhoon-based semi-physical simulation method for the comprehensive energy microgrid grid-connected island is characterized in that in the step S12, a UI output characteristic curve of the photovoltaic unit is obtained through the following logic calculation:
4. the Typhoon-based semi-physical simulation method for the integrated energy microgrid grid-connected island, according to claim 2, wherein the step S14 comprises:
s141, setting the compressor flow m c Total temperature of inlet
Pressure ratio pi c And the parameters are equal, so that the output power of the compressor is dynamically modeled according to the following logic:
wherein, c pa =904.6 air constant pressure specific heat capacity [ J/(Kg.K)]，m a ＝0.286；
S142, setting the outlet air temperature of the heat regenerator
Gas outlet temperature
The gas side heat exchange process of the heat regenerator is dynamically modeled by using the following logic:
wherein alpha is a As heat exchange coefficient, F a And F g As heat exchange surfacesAccumulating;
s143, calculating the flow rate m of the inlet air of the combustion chamber B ＝(1-g)m c According to the heat balance equation to the outlet temperature of the combustion chamber
And (3) carrying out dynamic modeling:
wherein m is f For fuel consumption, Q u A lower calorific value of the fuel, c pg The specific heat capacity is constant pressure for the fuel gas;
s144, dynamically modeling the turbine power by the following logic:
wherein, pi T Is the turbo expansion ratio, n T To the turbine efficiency;
s145, dynamically modeling the gas turbine rotor according to the following logic:
N e ＝N T -N c -N m
wherein N is m Mechanical power loss;
s146, setting the temperature of a smoke outlet of the lithium bromide absorption type cold and hot water unit to be unchanged, and calculating the waste heat quantity of the gas turbine according to the following logic:
Q P ＝F MGT (1-η e )；
calculating the waste heat refrigerating capacity of the gas turbine according to the following logic:
Q C ＝Q P ·η rec ·COP
Q H ＝Q P ·η rec ·η AC
wherein, F MGT For micro-combustion engine fuel consumption, eta e To the efficiency of the power generation; eta rec The utilization rate of waste heat is obtained; COP is the refrigeration coefficient;
s147, according to the heat loss epsilon of the electric boiler a Dynamically modeling the heat transfer quantity Q of the electric boiler according to the following logic:
Q＝ε a P；
s149, dynamically modeling the electric heating refrigerating capacity according to the following logic:
Q c ＝Q P -0.5Q J -Q K
wherein Q is C For cooling capacity of thermocouple pair, Q P Is Peltier heat, Q J Is Joule heat, Q K Is heat.
5. The Typhoon-based integrated energy microgrid grid-connected island semi-physical simulation method according to claim 2, characterized in that in the step S15, the voltage external characteristics of the energy storage battery are calculated by using the following logic:
wherein R is 0 Is ohmic internal resistance, R PN For polarizing internal resistance, C PN As its polarization capacitance, I L For its load current, U battery Is terminal voltage, U oc For open-circuit voltage of energy-storage battery, C b Is an accumulated capacitance.
6. The Typhoon-based semi-physical simulation method for the comprehensive energy microgrid grid-connected island, according to claim 1, wherein the step S2 comprises:
s21, constructing a micro gas turbine simulation module according to the energy microgrid mathematical model, wherein the micro gas turbine simulation module comprises: the system comprises a compressor submodule, an inertia submodule, a heat regenerator submodule, a combustion chamber submodule and a turbine submodule;
and S22, building simulation sub-modules of a photovoltaic unit, a wind power unit, an electric boiler heating module, an electric heating refrigeration module, an electrochemical energy storage module and a cold, heat and power load module according to the energy micro-grid mathematical model.
7. The Typhoon-based semi-physical simulation method for the comprehensive energy microgrid grid-connected island, according to claim 1, wherein the step S3 comprises:
s31, under the conditions of different temperatures and different illumination intensities, calculating the output power of the photovoltaic unit according to the maximum power point, and accordingly constructing the operating characteristics of the photovoltaic unit;
s32, under the condition of different wind speeds, calculating the output power of the wind power unit so as to construct the operating characteristics of the branch store units;
and S33, analyzing the variation trend of the micro gas turbine along with the reduction of the fuel quantity under the condition of the difference fuel flow so as to construct the operating characteristics of the output power of the gas turbine.
8. The Typhoon-based semi-physical simulation method for the comprehensive energy microgrid grid-connected island, according to claim 1, wherein the step S4 comprises:
s41, processing a control mode that the photovoltaic unit adopts a three-phase inverter by using the Typhoon semi-physical simulation software and the mathematical model and the operating characteristics of the photovoltaic unit, and constructing a photovoltaic semi-physical simulation module;
s42, processing that the wind power unit adopts a three-stage AC/DC/AC control mode by using the wind power unit mathematical model and the operating characteristics thereof, and accordingly constructing a wind power semi-physical simulation module;
s43, controlling the micro gas turbine unit to input environmental pressure, air flow at an inlet of a gas compressor and fuel quantity, and constructing a semi-physical simulation module of the micro gas turbine;
s44, acquiring and processing energy storage battery type data and PCC three-phase grid-connected inverter parameters, and constructing a semi-physical simulation module of the battery energy storage system by combining the PNGV equivalent model;
s45, acquiring and processing a dynamic mathematical model of the cooling, heating and power load of the park to construct a semi-physical simulation module of the cooling, heating and power load of the park.
9. The Typhoon-based semi-physical simulation method for the comprehensive energy microgrid grid-connected island, according to claim 1, wherein the step S5 comprises:
s51, under a grid-connected mode, establishing a comprehensive energy microgrid electricity/heat/gas combined operation live characteristic according to the operation principle of electricity heat determination and electricity by heat determination;
s52, under an island mode, establishing a comprehensive energy microgrid electricity/heat/gas combined operation live characteristic according to the operation principle of electricity heat determination and heat-to-electricity determination;
and S53, analyzing the stability of the comprehensive energy microgrid system in the switching state of the island mode and the grid-connected mode, and smoothly switching the island mode and the grid-connected mode.
10. Typhoon-based integrated energy microgrid grid-connected island semi-physical simulation system is characterized in that the system comprises:
the energy microgrid model building module is used for carrying out dynamic data modeling on a micro gas turbine, a photovoltaic unit, a wind power unit, an electric boiler heating, electric heating and refrigerating, electrochemical energy storage, cold, heat and electricity loads and the like by utilizing an equivalent numerical analysis method so as to build an energy microgrid mathematical model;
the comprehensive energy microgrid semi-physical simulation processing module is used for establishing a comprehensive energy microgrid semi-physical simulation module for the comprehensive energy microgrid system according to the energy microgrid mathematical model;
the response characteristic processing module is used for acquiring temperature working condition data, illumination airflow working condition data and pressure change working condition data of the energy microgrid and processing the data to obtain difference working condition energy conversion response characteristic parameters of the comprehensive energy microgrid system;
the simulation platform establishing module is used for utilizing Typhoon semi-physical simulation software to establish a digital coordination controller of the comprehensive energy microgrid system so as to establish a semi-physical simulation model of the comprehensive energy microgrid system and establish a comprehensive energy microgrid semi-physical virtual simulation platform;
the numerical verification module is used for analyzing flexible starting and stopping of each distributed energy source, switching between an island mode and a grid-connected mode in the comprehensive energy microgrid system according to an operation principle of electricity-based heat determination and electricity-based heat determination, analyzing and acquiring optimal energy distribution data among the energy microgrid, the distributed energy sources and distributed loads, and performing numerical verification on dynamic conversion characteristics and distribution strategies of electricity/heat/cold flow of the comprehensive energy microgrid, and is connected with the load simulation module and the comprehensive energy microgrid semi-physical simulation processing module.
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