CN-120749817-B - Zero carbon park distributed energy management system based on micro-grid technology

Abstract

The invention belongs to the technical field of micro-grids, and discloses a zero-carbon park distributed energy management system based on the micro-grid technology. The invention constructs a high-efficiency synergistic energy system by integrating renewable energy power generation, multi-type energy storage and flexible load; the system adopts an advanced model predictive control algorithm to realize optimal scheduling of source-network-load-storage, remarkably improves the utilization rate of renewable energy sources, effectively reduces the carbon emission intensity, ensures the stability and reliability of the system operation by a multi-time-scale energy storage architecture, can be rapidly switched to an island mode when a power grid fails, provides accurate fault diagnosis and operation and maintenance support by an intelligent digital twin platform, and endows the system with good expansibility by a modularized design.

Inventors

• HE CHENG
• GUO XINYAN
• FU JINGHANG
• ZHANG RUXING
• LIU JIE
• ZHAO FENGXUAN
• CAO PENGPENG
• LIU HONGZHAN
• WANG SHICHAO
• TAN XUEBIAO
• WU SHAORU
• HU CHUNYU
• JIANG QIHONG
• HOU MIN
• CHEN XIAOLIANG
• ZHAO CHUNYUAN

Assignees

• 中铁建设集团有限公司
• 中铁建设集团机电安装有限公司

Dates

Publication Date

20260508

Application Date

20250721

Claims (10)

1. 1. The zero-carbon park distributed energy management system based on the micro-grid technology is characterized by comprising a distributed renewable energy power generation unit, a multi-type energy storage unit, a flexible adjustable load unit and an energy management main control system; the distributed renewable energy power generation unit, the multi-type energy storage unit and the flexible adjustable load unit are all in signal transmission connection with the energy management main control system; The distributed renewable energy power generation unit is used for supplying power to a park, and providing power generation data and meteorological data for power generation prediction for the energy management main control system; the multi-type energy storage unit comprises an electrochemical energy storage subunit and a hydrogen energy storage subunit, wherein the electrochemical energy storage subunit is used for executing charge power and discharge power adjustment under the control of the energy management main control system and updating the charge state according to the charge and discharge efficiency; the flexible adjustable load unit relies on a load aggregation control platform, acquires load data in real time through an edge computing terminal and uploads the load data to the energy management main control system, and dynamically adjusts a load curve by combining an MPC algorithm to realize source load interaction optimization on the premise of meeting user comfort or travel requirements; The energy management main control system is used for carrying out energy prediction, optimized scheduling and real-time control based on the power generation data, the energy storage state and the load data, and specifically comprises the following steps: Constructing an optimization target by using electricity purchasing quantity, grid electricity price and carbon emission quantity, solving and obtaining electricity purchasing quantity, charging power and discharging power of the electrochemical energy storage subunit, hydrogen production power of the hydrogen energy storage subunit and adjustment quantity of the temperature control load based on the electricity purchasing quantity, the electricity charging state of the electrochemical energy storage subunit and load data of the flexible adjustable load unit, and issuing corresponding control instructions; and monitoring the voltage and the frequency of the power grid, switching to an island mode when the voltage or the frequency deviates from a preset range, and enabling the sum of the power generation power and the energy storage discharge power of the distributed renewable energy source to be equal to the sum of the total load power requirement and the energy storage charging power of the park in the island mode.
2. 2. The zero-carbon park distributed energy management system based on micro-grid technology as set forth in claim 1, wherein the energy management master control system comprises: the renewable energy source generation power prediction module is used for outputting a future generation power predicted value of 24 hours based on the LSTM neural network model to input meteorological data: ; in the formula, Irradiance, wind speed and ambient temperature at time t respectively; the energy management group string capacity and the component number are calculated: The number of components N of a single set of strings is determined by the inverter input voltage range and the component parameters: ; Wherein: maximum input voltage of inverter Safety margin Open circuit voltage of the assembly at minimum ambient temperature: ; in the formula, Open circuit voltage temperature coefficient Standard test temperature String power matching; Group string total power: Inverter tolerances need to be met: ; in the formula, The nominal maximum power of the component, the maximum power of the component, Group string mismatch loss coefficients.
3. 3. The micro-grid technology-based zero-carbon park distributed energy management system as set forth in claim 1, wherein the energy management master control system aims at minimizing carbon emission and running cost, and the objective function is as follows: ; Wherein, the For the electricity purchase amount at the moment t, For the electricity price of the power grid, The carbon emission amount at the time t is calculated, Is a weight coefficient; Actual power generation Is irradiated by irradiance Temperature (temperature) Influence: ; Power temperature coefficient; Standard test irradiance; String efficiency monitoring: String performance ratio For fault diagnosis: 100%; Wherein, the For theoretical power, if An alarm is triggered.
4. 4. The micro-grid technology-based zero-carbon park distributed energy management system as set forth in claim 1, wherein the charging and discharging strategies of the multi-type energy storage units satisfy: ; in the formula, In order to achieve a charge or discharge efficiency, ; Based on the above, a photovoltaic string fault diagnosis formula is summarized: group string current-voltage characteristic anomaly detection: under normal working conditions, the string working point should be close to the maximum power point, and if the string working point deviates, a fault may exist: ; in the formula, MPP current predicted by irradiance and temperature Actual measurement of current Shadow occlusion positioning formula: If part of the components in the group string are blocked, the output voltage of the group string is Would rise abnormally: ; in the formula, Number of shielded components Normal component operating voltage.
5. 5. The micro-grid technology-based zero-carbon park distributed energy management system as set forth in claim 1, wherein the hydrogen storage subunit of the multi-type energy storage unit is configured to produce hydrogen power by water electrolysis The method meets the following conditions: ; in the formula, For the hydrogen production priority coefficient, Is a load demand.
6. 6. The micro-grid technology-based zero-carbon park distributed energy management system as set forth in claim 1, wherein the adjustment amount of the flexible load unit is The method meets the following conditions: ; In the middle of Adjustment coefficient for temperature-controlled load i 、 For the set temperature and the actual temperature.
7. 7. The micro-grid technology-based zero-carbon park distributed energy management system of claim 1, wherein the energy management master control system monitors the voltage and the frequency of the power grid, and when the voltage or the frequency deviates from a preset range, the system switches to an island mode within millisecond response time, and the following power balance needs to be satisfied in the island mode: ; in the formula, The actual power of the distributed renewable energy power generation unit at the time t, The discharge power of the energy storage unit at the time t, The total power demand of flexible load units of the park at time t, The charging power of the energy storage unit at the time t.
8. 8. The zero-carbon park distributed energy management system based on micro-grid technology of claim 3, wherein the carbon emission is calculated as: ; in the formula, As the carbon emission factor of the energy unit j, For its output power.
9. 9. The micro-grid technology-based zero-carbon park distributed energy management system as set forth in claim 1, wherein the green electricity trading module is configured to trade prices for green electricity in a park The intelligent contract is adopted for dynamic updating, and the transaction price meets the following conditions: ; in the formula, The demand and the supply amount at the time t are respectively, Is a price sensitivity coefficient.
10. 10. The micro-grid technology-based zero-carbon park distributed energy management system as set forth in claim 7, wherein the island mode grid-connection or island switching logic is: if a grid voltage deviation is detected Or frequency deviation At a preset time Internal switching to island mode; Based on the content, writing out an MPC rolling optimization basic framework, namely, MPC solves an optimal control sequence of a future prediction time domain in each control period through rolling time domain optimization, only executes the control quantity of step 1, and re-optimizes the next period; Optimization problem general form: ; Wherein: System state; control input; Controlling the time domain.

Description

Zero carbon park distributed energy management system based on micro-grid technology Technical Field The invention belongs to the technical field of micro-grids, and particularly relates to a zero-carbon park distributed energy management system based on a micro-grid technology. Background The utility model provides a zero carbon garden distributed energy management system based on little electric wire netting technique is a comprehensive energy solution that integrated renewable energy power generation, multi-type energy storage, flexible load regulation and control and intelligent energy management, through localized energy production, storage, consumption and collaborative optimization, aims at realizing the strategic target that the energy source is from giving self-sufficient and carbon emission net zero in the garden. The system is based on a micro-grid framework, integrates advanced technologies such as Model Predictive Control (MPC), artificial intelligent power prediction, block chain green electricity transaction and the like, can dynamically coordinate distributed energy resources in a park, ensures the optimal balance of economy, reliability and low carbon, and however, the application of the existing micro-grid technology in a zero-carbon park still has a plurality of technical and management challenges. Firstly, renewable energy sources have obvious fluctuation and intermittence, the problem of unbalanced power in a park is easily caused, the dependence on an energy storage system and a standby power supply increases the complexity of system design and the construction cost, secondly, the existing coordination control strategy of multi-energy source coupling has high risks of voltage instability and frequency drift in an island mode, and the real-time performance and global optimization capability of an energy management algorithm are insufficient, so that the scheduling response is lagged easily. In addition, the existing power electronic equipment is easy to generate harmonic interference during grid connection and off-grid switching, the technical requirements on filtering and protecting devices are increased, in the aspect of economy, the initial investment of a micro-grid system is high, the construction period is long, the carbon trading market mechanism is still immature, so that the economic benefits of green energy are difficult to effectively honor, the management level is that the point-to-point green electricity trading lacks uniform metering and settlement standards, the cross-regional micro-grid project faces the problems of suitability and policy approval, meanwhile, the system safety is insufficient and is easy to attack by a network, the participation of a part of parks in the aspects of intelligent operation and maintenance and demand response is low, the dynamic electricity price mechanism and benefit distribution model are not perfect, and the problems restrict the comprehensive popularization and efficient application of the existing micro-grid in a zero-carbon park. Disclosure of Invention The invention aims to provide a zero-carbon park distributed energy management system based on micro-grid technology, so as to solve the problems in the background technology. In order to achieve the aim, the invention provides the technical scheme that the zero-carbon park distributed energy management system based on the micro-grid technology comprises a distributed renewable energy power generation unit, a multi-type energy storage unit, a flexible adjustable load unit and an energy management main control system; the distributed renewable energy power generation unit is used for providing park cleaning power and is connected to the energy management main control system through signal transmission; The multi-type energy storage unit is used for cooperatively realizing energy time shifting, power buffering, long-term standby and carbon emission reduction, wherein electrochemical energy storage stabilizes second-level to day-level fluctuation, and hydrogen energy storage solves cross-season energy transfer; The flexible adjustable load unit relies on a load aggregation control platform, collects load data in real time through an edge computing terminal, dynamically adjusts a load curve by combining an MPC algorithm on the premise of meeting user comfort or travel requirements, and achieves source load interaction optimization; And the energy management main control system is used for carrying out prediction, optimal scheduling and real-time control on the energy based on the collected power generation, energy storage state and load data. Preferably, the energy management master control system includes: the renewable energy source generation power prediction module is used for outputting a future generation power predicted value of 24 hours based on the LSTM neural network model to input meteorological data: ; in the formula, Irradiance, wind speed and ambient temperature at time t resp