CN-121980746-A - Intelligent regulation simulation verification platform and method for electric-hydro-chemical-heat storage-heat multifunctional coupling system based on distributed architecture

CN121980746ACN 121980746 ACN121980746 ACN 121980746ACN-121980746-A

Abstract

The invention relates to an intelligent regulation and control simulation verification platform and method of an electric-hydrogen-chemical-heat storage-heat multi-energy coupling system based on a distributed architecture, wherein the platform comprises an energy management and control platform, a time-scale-crossing layered regulation and control architecture, a dispatching optimization layer and a cooperative control layer; the system comprises an optimization scheduling layer, a cooperative control layer, a distributed simulation system and a timing system, wherein the optimization scheduling layer generates a multi-time scale scheduling instruction from a second level to a day level based on a multi-target dynamic optimization function, the cooperative control layer receives the instruction of the optimization scheduling layer and executes real-time electricity-hydrogen-storage-heat cooperative frequency modulation voltage regulation control through a power balance controller, a heat supply network balance controller and a hydrogen transmission balance controller, the distributed simulation system is used for truly simulating the dynamic behavior of a physical system, and the timing system is used for providing global clock synchronization signals for an energy management control platform and the distributed simulation system. The invention provides a simulation verification means with high precision, high real-time performance and high reliability for the green low-carbon transformation of coal-based chemical industry, can obviously reduce engineering risks and improves system flexibility and economy.

Inventors

YOU XIAOHUI
YANG SUHAO
ZHANG MENG
YAN YUHONG
CAO BO
HAO JUN
NAN XIONG
SONG YIN
YANG LIN
JIANG DONG

Assignees

中国大唐集团科技创新有限公司

Dates

Publication Date: 20260505
Application Date: 20251210

Claims (9)

1. An intelligent regulation and control simulation verification platform of an electric-hydro-chemical-heat storage-heat multifunctional coupling system based on a distributed architecture is characterized by comprising: The energy management and control platform adopts a layered regulation and control architecture crossing time scales and comprises an optimized scheduling layer and a cooperative control layer, wherein the optimized scheduling layer is used for generating multi-time scale scheduling instructions from a second level to a day level based on a multi-objective dynamic optimization function; The distributed simulation system comprises simulation models of subsystems of a power grid, thermal power, wind power, photovoltaic, energy storage, hydrogen production and storage, heat supply and heat storage and coal chemical industry, and each simulation model is connected with data interaction through a power grid control bus, a heat supply network control bus and a hydrogen delivery control bus and is used for truly simulating the dynamic behavior of a physical system; And the timing system adopts an IEEE 1588 precision time protocol to provide global clock synchronization signals for the energy management and control platform and the distributed simulation system, establishes a unified simulation time reference, and realizes microsecond synchronization precision through a master-slave clock mechanism so as to ensure the time consistency of data among simulation nodes.
2. The intelligent regulation and control simulation verification platform for the electric-hydro-chemical-heat storage-heat multi-energy coupling system based on the distributed architecture as claimed in claim 1, wherein the optimization scheduling layer is based on a multi-objective dynamic optimization function, integrates system operation stability, system operation economy, system carbon emission intensity and key parameter fluctuation of a chemical process, and builds the following mathematical model: ; The constraint conditions include: Power balance constraint: ; Thermodynamic equilibrium constraints: ; mass balance constraint: ; Market constraint, namely comprehensively considering the total amount of market transactions and a system scheduling plan; the equipment operation constraint comprises an electrolytic tank power climbing rate, a hydrogen storage tank pressure limit value and a methanol synthesis tower temperature safety zone; The weight coefficients alpha (t), beta (t) and gamma (t) adopt an online adjustment mechanism based on analytic hierarchy process and reinforcement learning, and are adaptively updated according to new energy prediction errors and market price fluctuation, so that dynamic balance between economy and safety is realized; the cooperative control layer receives the day-ahead, day-in and real-time instructions issued by the optimal scheduling layer, and realizes rapid adjustment through three core controllers deployed in the distributed simulation system, wherein: the power balance controller adopts a virtual synchronous machine control strategy to adjust the power of the electrochemical energy storage and the electrolytic tank, and maintains the stable frequency of the power grid, and the response time is less than 200ms; The heat supply network balance controller is used for adjusting the output of the electric boiler and the heat pump based on model prediction control, and controlling the temperature difference of the heat supply network water supply and return to be within +/-2 ℃ of a set value; The hydrogen transmission balance controller adopts pressure-flow cascade PID control, and maintains the pressure of a hydrogen main pipe within the range of 2.0+/-0.05 MPa by adjusting the opening of an inlet valve and an outlet valve of the hydrogen storage tank, so as to ensure the stable feeding of the methanol synthesis tower.
3. The distributed architecture-based intelligent regulation simulation verification platform for the electric-hydro-chemical-thermal multi-energy coupling system according to claim 1, wherein simulation models of all subsystems are deployed on independent computing nodes, parallel computing architecture is adopted to improve simulation efficiency, and computing resource allocation is optimized through a dynamic load balancing strategy.
4. The distributed architecture-based intelligent regulation simulation verification platform for an electric-hydro-thermal multi-energy coupling system of claim 3, wherein the simulation objects of the distributed simulation system comprise: The wind power and photovoltaic model adopts a time sequence model based on actual output data, and superimposes second-level fluctuation components to simulate real randomness; the energy transmission system consists of an electric bus, a thermal bus and a material flow network, and respectively realizes bidirectional flow and cascade utilization of electric energy, heat energy, hydrogen and oxygen; The energy conversion and storage system comprises an electrolytic water hydrogen production device, a hydrogen storage tank, an oxygen storage device, an electrochemical energy storage system, a heat storage system, an electric boiler, a heat pump and a coal chemical system, and is used for realizing energy form conversion and space-time transfer.
5. The intelligent regulation and control simulation verification platform for the electric-hydrogen-chemical-heat-storage-heat multi-energy coupling system based on the distributed architecture, which is disclosed by claim 4, is characterized in that an electric bus is connected with green electricity, energy storage, a power grid and thermal power to supply power for hydrogen production, heat storage, an electric boiler, a heat pump and a coal chemical system, a three-phase alternating current power flow model or a direct current equivalent model is adopted, the thermal bus is connected with a heat supply part of the heat storage system, the electric boiler, the heat pump and thermal power and high and low-quality waste heat generated by the coal chemical system to realize the cascade utilization of heat energy, a heat network hydraulic-thermal coupling model is adopted, a material flow network comprises hydrogen flow and oxygen flow, a pressure-flow-temperature three-order coupling dynamic model is adopted, and pipeline transmission delay and pressure drop loss are calculated according to an actual pipe network topology.
6. The distributed architecture-based intelligent regulation simulation verification platform for an electric-hydro-chemical-thermal multi-energy coupling system of claim 4, wherein the coal chemical industry system simulation comprises: The dynamic hydrogen-carbon ratio model of the water gas shift reactor is used for calculating the C/H mole ratio of the inlet and outlet of the reactor in real time, feeding back to the hydrogen-conveying balance controller and used for adjusting the green hydrogen supplementing amount and maintaining the stability of the components of the synthesis gas; The air separation device oxygen load substitution model is used for establishing a nonlinear mapping relation between the flow of the electrolytic byproduct oxygen and the energy consumption of the air separation device, and the substitution rate can be continuously adjusted within the range of 0-60%; the temperature-pressure coupling model of the methanol synthesis tower adopts a third-order inertia link to describe the temperature dynamics of the catalyst bed layer, and is used for ensuring the authenticity of the control strategy verification.
7. The intelligent regulation and control simulation verification platform for the electric-hydro-chemical-thermal multi-energy coupling system based on the distributed architecture according to claim 1 is characterized in that the distributed simulation system adopts a mixed simulation strategy combining a variable step-size self-adaptive algorithm and an event driving mechanism, and realizes multi-rate data synchronization and bidirectional interpolation alignment between a second-level power grid dynamic model and a daily-level chemical dispatching model by introducing a simulation time anchor mechanism.
8. The distributed architecture-based intelligent regulation and control simulation verification platform for the electric-hydro-chemical-storage-thermal multi-energy coupling system, which is disclosed by claim 7, is characterized in that the platform supports a hardware-in-loop and software-in-loop hybrid simulation architecture, and a semi-physical simulation verification environment is constructed by accessing a real controller into a virtual model closed loop.
9. An intelligent regulation simulation verification method for an electric-hydro-chemical-heat storage-heat multi-energy coupling system using the platform according to any one of claims 1 to 8, comprising the following steps: step 1, generating a multi-time scale scheduling instruction through an optimal scheduling layer of an energy management and control platform, and issuing the multi-time scale scheduling instruction to each sub-model of a distributed simulation system; Step 2, in a closed-loop simulation period, carrying out data interaction among subsystem simulation models of the distributed simulation system through a power grid control bus, a heat supply network control bus and a hydrogen transportation control bus, wherein the interaction frequency is adaptively adjusted according to the dynamic characteristics of each system; step 3, feeding back interaction results generated by the joint simulation, including power, pressure, temperature, flow and state variables, to a cooperative control layer of the energy management and control platform in real time; step 4, the energy management and control platform adjusts and verifies a regulation and control strategy aiming at the electric-hydrogen-chemical-heat storage-heat multi-energy coupling system through online rolling optimization and model correction based on a feedback result to form closed loop iteration; and 5, when the access hardware is in a ring, the real controller is accessed into a simulation closed loop through a standard communication interface, and the timing system ensures time synchronization between the virtual model and the entity controller to construct a semi-physical verification environment.

Description

Intelligent regulation simulation verification platform and method for electric-hydro-chemical-heat storage-heat multifunctional coupling system based on distributed architecture Technical Field The invention belongs to the technical field of simulation and optimization regulation of energy and chemical systems, and particularly relates to an intelligent regulation and control simulation verification platform and method of an electric-hydro-chemical-heat storage-heat multi-energy coupling system based on a distributed architecture. Background The pushing of energy structure adjustment, realizing the 'double carbon' target is the current national important strategic requirement. However, the process has double challenges that on one hand, high carbon emission represented by coal chemical industry is large in industrial production, the process flow is complex, the carbon emission links are multiple, the strength is high, the emission reduction difficulty is great, on the other hand, new energy sources such as wind power, photovoltaic and the like have randomness and fluctuation, the stable operation of a power system is pressurized due to large-scale grid connection, and meanwhile, the problem of wind discarding and light discarding exists. In order to solve the problems, the traditional high-carbon industries such as coal chemical industry and the like are deeply coupled with green electricity, green hydrogen, green heat and the like, and a multifunctional complementary system is constructed, so that the multifunctional complementary system is regarded as an effective green low-carbon transformation path. The method can directly reduce carbon emission from a process source by replacing ash hydrogen generated in a water gas conversion link of coal chemical industry with green hydrogen, can reduce the overall energy consumption of a system by replacing or supplementing an air separation device with high energy consumption by utilizing byproduct oxygen generated by hydrogen production by electrolysis of water, and can further reduce fossil energy dependence by introducing green heat generated by an electric boiler, a heat pump and the like to replace process steam. This mode of "electro-hydro-chemical-thermal" multi-energy synergy is intended to achieve a shift from single fossil energy drive to multi-element clean energy synergy. The system covers the chemical production scheduling and market trading behavior from second-level and minute-level output fluctuation, hydrogen production and storage dynamics, to hour-level heat storage and supply fluctuation and even more than daily-level chemical production scheduling and market trading behavior, and has obvious multi-scale and strong coupling characteristics in the time dimension. Meanwhile, a complex coupling relationship exists among electric power, hydrogen energy, heat energy and chemical material flows. The complex dynamic characteristics of the cross-time domain and the multi-energy flow provide extremely high requirements of real-time accurate simulation, multi-time scale collaboration and closed-loop decision verification for planning design and operation regulation of a system. Currently, technical research for such complex systems remains significantly limited. Most of the existing methods adopt subsystem independent simulation or simple series connection modes, such as setting a fixed energy input boundary in chemical process simulation or simplifying dynamic characteristics of chemical processes in energy system optimization. For example, the "electro-hydro-chemical-thermal" full chain simulation cannot be achieved without involving dynamic models and thermodynamic systems of chemical processes. The cross-time domain synchronization problem of second-level dynamic and chemical industry hour-level slow dynamic of the power grid cannot be solved by adopting fixed-step serial simulation, and hardware-in-loop verification capability is lacked. The prior researches have the following technical bottlenecks: 1. The system integration depth is insufficient, most researches are remained on the macro path analysis or steady state simulation level, a system scheme for carrying out dynamic and refined coupling design on an electric-hydro-chemical-heat storage full chain is lacked, and interaction of multi-energy flows in transient and dynamic processes is difficult to truly reflect. In particular, a real-time feedback mechanism of the hydrogen-carbon ratio of the chemical reactor and a pressure-flow-temperature third-order coupling dynamic model of the hydrogen pipe network is not established, so that the simulation precision is insufficient. 2. The intelligent regulation capability is lacking, and the existing research is not deep enough for the uncertainty of the electric market caused by high-proportion new energy and the influence of fluctuation power on the dynamic response of the chemical process. Especially, the multi-time scale cooperative scheduling and