CN117748622A - A microgrid multi-state coordinated control method and system - Google Patents

A microgrid multi-state coordinated control method and system Download PDF

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CN117748622A
CN117748622A CN202410182848.4A CN202410182848A CN117748622A CN 117748622 A CN117748622 A CN 117748622A CN 202410182848 A CN202410182848 A CN 202410182848A CN 117748622 A CN117748622 A CN 117748622A
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CN117748622B (en
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郭敏
汪立
周飞
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Xi'an Huahai Zhonghe Power Technology Co ltd
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Abstract

The invention relates to the technical field of micro-grids, in particular to a micro-grid polymorphic coordination control method and system. The method comprises the following steps: collecting real-time data of a micro-grid, and determining the structure and the running state of the micro-grid; establishing a micro-grid distributed power source mathematical model; establishing a micro-grid multi-objective optimization scheduling model according to the type of the distributed power supply in the micro-grid; and solving the micro-grid optimization scheduling model to obtain an optimization scheduling strategy in the grid-connected operation of the micro-grid. According to the invention, the real-time data of the micro-grid is collected, the mathematical model of the distributed power supply of the micro-grid is established, the optimal scheduling model is established according to the type of the distributed power supply, and the optimal scheduling strategy in the grid-connected operation of the micro-grid is further obtained.

Description

一种微电网多态协调控制方法及系统A microgrid multi-state coordinated control method and system

技术领域Technical field

本发明涉及微电网技术领域,具体为一种微电网多态协调控制方法及系统。The invention relates to the technical field of microgrid, specifically a microgrid multi-state coordinated control method and system.

背景技术Background technique

随着社会经济的发展和进步,人们对电力的需求不断增长,对供电质量和可靠信提出了更高的标准。基于可再生能源的分布式发电技术具有投资成本低、发电方式灵活、与环境兼容等优点,发展迅速,它主要有太阳能光伏发电和风力发电,还有燃料电池发电、微燃机发电和柴油发电机发电等。分布式发电尽管优点突出,但由于光伏发电及风力发电的随机性、波动性、间歇性等特点,由其并入电网引发的问题通常局限了分布式发电的普遍使用。为了解决大型电网和分布式电源之间的冲突,充分发挥分布式发电为电网和用户带来的价值和利益,产生了微电网。微电网既可以和主网并网运行,也可以在主网发生故障或其他情况下与主网断开进行孤岛运行。微电网包含了大量的分布式能源、储能设备和通信系统,将可再生资源和一种或多种常规电源相结合,以产生清洁、可持续、稳定、可靠的电力,已成为电力系统中重要的组成部分。With the development and progress of social economy, people's demand for electricity continues to grow, setting higher standards for power supply quality and reliability. Distributed power generation technology based on renewable energy has the advantages of low investment cost, flexible power generation method, and environmental compatibility. It is developing rapidly. It mainly includes solar photovoltaic power generation and wind power generation, as well as fuel cell power generation, micro-gas turbine power generation and diesel power generation. Mechanical power generation, etc. Although distributed power generation has outstanding advantages, due to the randomness, volatility, and intermittent characteristics of photovoltaic power generation and wind power generation, problems caused by their integration into the power grid often limit the widespread use of distributed power generation. In order to solve the conflict between large power grids and distributed power sources and give full play to the value and benefits that distributed power generation brings to the power grid and users, microgrids were born. The microgrid can operate in parallel with the main grid, or it can be disconnected from the main grid for island operation when the main grid fails or under other circumstances. Microgrid contains a large number of distributed energy resources, energy storage equipment and communication systems. It combines renewable resources with one or more conventional power sources to generate clean, sustainable, stable and reliable power. It has become an important part of the power system. important part.

由于微电网系统包含了风力发电、光伏发电等不可控的可再生能源,其系统调度和控制的机制更加复杂,因此,需要一种创新性的交直流电网暂态、动态、稳定态微网控制方法,以解决交直流混合微电网多类型电源组合中各种电源体对电网影响调度问题,提升规模化电源电网调度的能力,满足微电网负荷用户的用电量需求。Since the microgrid system contains uncontrollable renewable energy sources such as wind power and photovoltaic power generation, its system scheduling and control mechanism is more complex. Therefore, an innovative AC and DC power grid transient, dynamic and stable microgrid control is required. This method is used to solve the scheduling problem of the impact of various power sources on the power grid in the multi-type power supply combination of AC and DC hybrid microgrids, improve the dispatching capabilities of large-scale power grids, and meet the power consumption needs of microgrid load users.

发明内容Contents of the invention

针对现有方法的不足以及实际应用的需求,为了解决交直流混合微电网多类型电源组合中各种电源体对电网影响调度问题,提升规模化电源电网调度的能力,满足微电网负荷用户的用电量需求,一方面本发明提供了一种微电网多态协调控制方法,方法包括以下步骤:收集微电网的实时数据,确定微电网的结构和运行状态;建立微电网分布式电源数学模型,所述分布式电源数学模型包括太阳能光伏发电数学模型、风力发电数学模型、微型燃气轮机数学模型、燃料电池数学模型;根据所述微电网中分布式电源的类型建立微电网多目标优化调度模型;求解所述微电网优化调度模型,得到所述微电网并网运行时的优化调度策略。本发明解决了交直流混合微电网多类型电源组合中各种电源体对电网影响调度问题,提升了规模化电源电网调度的能力,满足了微电网负荷用户的用电量需求。In view of the shortcomings of existing methods and the needs of practical applications, in order to solve the scheduling problem of the impact of various power sources on the power grid in the multi-type power supply combination of AC and DC hybrid microgrids, improve the dispatching capabilities of large-scale power grids, and meet the needs of microgrid load users. Power demand, on the one hand, the present invention provides a microgrid multi-state coordinated control method. The method includes the following steps: collecting real-time data of the microgrid, determining the structure and operating status of the microgrid; establishing a mathematical model of microgrid distributed power supply, The distributed power mathematical model includes a solar photovoltaic power generation mathematical model, a wind power generation mathematical model, a micro gas turbine mathematical model, and a fuel cell mathematical model; a microgrid multi-objective optimization dispatch model is established according to the type of distributed power supply in the microgrid; and the solution is The microgrid optimal dispatching model obtains the optimal dispatching strategy when the microgrid is connected to the grid. The invention solves the problem of the impact of various power sources on the power grid in the AC-DC hybrid microgrid multi-type power supply combination, improves the dispatching capability of the large-scale power grid, and meets the power consumption needs of microgrid load users.

可选地,所述建立微电网多目标优化调度模型包括:建立以微电网运行成本最小、环境污染排放成本最小、额外效益最大的目标函数,所述目标函数满足如下公式:Optionally, establishing a microgrid multi-objective optimization dispatch model includes establishing an objective function that minimizes microgrid operating costs, minimizes environmental pollution emission costs, and maximizes additional benefits. The objective function satisfies the following formula:

,

其中,为综合成本,/>为微电网运行成本,/>为环境污染排放成本,/>为额外效益,/>、/>、/>分别为微电网运行成本、环境污染排放成本、额外效益对应的权重系数;分析微电网并网运行时的约束条件,所述约束条件包括功率平衡约束、各分布式电源功率约束和微电网与主网的联络线功率约束;在满足所述约束条件下,建立所述微电网多目标优化调度模型。本发明综合考虑了微电网运行时功率平衡约束、各项分布式电源功率约束和微电网与主网的联络线功率约束,在满足上述约束条件时构建微电网优化调度模型,使得模型预测结果更准确客观。in, is the comprehensive cost,/> is the microgrid operating cost,/> For the cost of environmental pollution emissions,/> For additional benefits,/> ,/> ,/> are the weight coefficients corresponding to the microgrid operating costs, environmental pollution emission costs, and additional benefits respectively; analyze the constraints when the microgrid is connected to the grid. The constraints include power balance constraints, power constraints of each distributed power supply, and the relationship between the microgrid and the main grid. The tie line power constraints of the microgrid are met; under the condition that the constraints are met, a multi-objective optimal dispatch model of the microgrid is established. This invention comprehensively considers the power balance constraints during microgrid operation, the power constraints of various distributed power sources, and the power constraints of the tie line between the microgrid and the main grid. When the above constraints are met, a microgrid optimal dispatch model is constructed, making the model prediction results more accurate. Be accurate and objective.

可选地,所述微电网多态控制协调方法还包括:采集用户历史用电量,确定用户用电量的影响因素;确定不同影响因素对用户用电量影响的权重系数;根据所述权重系数和影响因素建立预测用户用电量的回归方程;通过所述回归方程得出用户用电量预测值;根据所述用户用电量预测值调整所述优化调度策略。本发明通过采集用户的历史用电量,进一步确定用户用电量的影响因素,根据影响因素和对应的权重系数建立回归方程,并通过所述回归方程输出用户用电量预测值,根据输出的用户用电量预测值调整优化调度策略,保证用户的用电需求得到满足。Optionally, the microgrid multi-state control coordination method also includes: collecting the user's historical power consumption, determining the influencing factors of the user's power consumption; determining the weight coefficient of the influence of different influencing factors on the user's power consumption; according to the weight The coefficients and influencing factors establish a regression equation for predicting the user's power consumption; the user's power consumption prediction value is obtained through the regression equation; and the optimized dispatching strategy is adjusted according to the user's power consumption prediction value. The present invention further determines the influencing factors of the user's electricity consumption by collecting the user's historical electricity consumption, establishes a regression equation based on the influencing factors and the corresponding weight coefficients, and outputs the predicted value of the user's electricity consumption through the regression equation. The user's power consumption forecast value is adjusted to optimize the dispatching strategy to ensure that the user's power demand is met.

可选地,所述太阳能光伏发电数学模型,光伏电池的输出功率表示为:Optionally, according to the solar photovoltaic power generation mathematical model, the output power of the photovoltaic cell is expressed as:

,

其中,为光伏电池的输出功率,k为温度补偿系数,S为太阳辐射强度,/>为电池板倾斜角度,A为电池板面积,η为电池板转换效率。本发明通过分析光伏发电的影响因素,建立太阳能光伏发电数学模型,计算得出光伏电池的输出功率,有利于进一步建立微电网分布式电源的优化调度模型,提升微电网多电源优化调度的能力。in, is the output power of the photovoltaic cell, k is the temperature compensation coefficient, S is the solar radiation intensity,/> is the inclination angle of the panel, A is the area of the panel, and eta is the conversion efficiency of the panel. By analyzing the influencing factors of photovoltaic power generation, the present invention establishes a mathematical model of solar photovoltaic power generation and calculates the output power of photovoltaic cells, which is conducive to further establishing an optimal dispatching model of microgrid distributed power sources and improving the ability of microgrid multi-power optimal dispatching.

可选地,所述风力发电数学模型,风力发电机的输出功率与风速大小有关,所述风力发电机的输出功率满足如下公式:Optionally, in the mathematical model of wind power generation, the output power of the wind turbine is related to the wind speed, and the output power of the wind turbine satisfies the following formula:

,

其中,为风力发电机的输出功率,/>为扰流因素补偿系数,/>为风机叶轮半径,/>为风速,/>为空气密度,/>为风能转换系数。本发明通过分析风力发电的影响因素,建立风力发电数学模型,计算得出风力发电机的输出功率,有利于进一步建立微电网分布式电源的优化调度模型,提升微电网多电源优化调度的能力。in, is the output power of the wind turbine,/> is the spoiler factor compensation coefficient,/> is the fan impeller radius,/> is the wind speed,/> is the air density,/> is the wind energy conversion coefficient. By analyzing the influencing factors of wind power generation, the present invention establishes a mathematical model of wind power generation and calculates the output power of the wind turbine, which is conducive to further establishing an optimal dispatching model of microgrid distributed power sources and improving the ability of microgrid multi-power optimal dispatching.

可选地,所述微型燃气轮机数学模型,满足如下公式:Optionally, the micro gas turbine mathematical model satisfies the following formula:

,

其中,为微型燃气轮机的输出功率,/>为燃气的流量,/>为燃气的压力,/>为燃气的湿度,/>为燃气的含硫量,exp为自然对数的底数e的指数函数,/>、/>、/>为经验系数。本发明通过分析微燃型气轮机发电的影响因素,建立微型燃气轮机数学模型,计算得出微型燃气轮机的输出功率,有利于进一步建立微电网分布式电源的优化调度模型,提升微电网多电源优化调度的能力。in, is the output power of the micro gas turbine,/> is the flow rate of gas,/> is the gas pressure,/> is the humidity of gas,/> is the sulfur content of the gas, exp is the exponential function of the base e of the natural logarithm,/> ,/> ,/> is the experience coefficient. By analyzing the influencing factors of micro-combustion gas turbine power generation, the present invention establishes a mathematical model of the micro-gas turbine and calculates the output power of the micro-gas turbine, which is conducive to further establishing an optimal dispatch model of microgrid distributed power sources and improving the optimal dispatch of multiple power sources in microgrids. Ability.

可选地,所述燃料电池数学模型,满足如下公式:Optionally, the fuel cell mathematical model satisfies the following formula:

,

其中,为燃料电池的输出功率,/>为燃料电池的温度修正因子,U为燃料电池的输出电压,I为通过燃料电池的电流,/>为燃料电池的效率。本发明通过分析燃料电池输出功率的影响因素,建立燃料电池的数学模型,有利于进一步建立微电网分布式电源的优化调度模型,提升微电网多电源优化调度的能力。in, is the output power of the fuel cell,/> is the temperature correction factor of the fuel cell, U is the output voltage of the fuel cell, I is the current through the fuel cell,/> for fuel cell efficiency. The present invention establishes a mathematical model of the fuel cell by analyzing factors affecting the output power of the fuel cell, which is conducive to further establishing an optimal dispatch model of microgrid distributed power sources and improves the ability of the microgrid to optimize multi-power dispatch.

可选地,所述回归方程满足如下公式:Optionally, the regression equation satisfies the following formula:

,

其中,为用电量预测值,/>为截距,/>为天气因素的权重系数,/>为天气因素,/>为季节因素的权重系数,/>为季节因素,/>为时间因素的权重系数,/>为时间因素。本发明通过分析用户用电量的影响因素,根据天气因素、季节因素和时间因素以及它们对应的权重系数建立预测用户用电量的回归方程,通过该回归方程计算得出用电量预测值,根据该预测值进一步优化微电网多电源优化策略,提高微电网中各项分布式电源的利用率。in, is the predicted value of electricity consumption,/> is the intercept,/> is the weight coefficient of weather factors,/> For weather factors,/> is the weight coefficient of seasonal factors,/> For seasonal factors,/> is the weight coefficient of the time factor,/> for the time factor. This invention analyzes the influencing factors of user's electricity consumption, establishes a regression equation for predicting user's electricity consumption based on weather factors, seasonal factors and time factors and their corresponding weight coefficients, and calculates the predicted value of electricity consumption through the regression equation. Based on the predicted value, the multi-power optimization strategy of the microgrid is further optimized to improve the utilization rate of various distributed power sources in the microgrid.

可选地,所述约束条件满足如下公式:Optionally, the constraints satisfy the following formula:

,

其中,为微电网总负荷,/>为分布式电源/>功率,/>为微电网与主网的联络线功率,和/>分别为第/>个分布式电源输出功率的最小值和最大值,/>和/>分别为微电网与主网的联络线功率的最小值和最大值。本发明通过设置功率平衡约束、各分布式电源功率约束和微电网与主网的联络线功率约束,在所述约束条件下保证微电网安全稳定地运行。in, is the total load of the microgrid,/> For distributed power supply/> Power,/> is the power of the tie line between the microgrid and the main grid, and/> Respectively:/> The minimum and maximum output power of a distributed power supply,/> and/> are respectively the minimum value and the maximum value of the tie line power between the microgrid and the main grid. The present invention ensures safe and stable operation of the microgrid under the constraint conditions by setting power balance constraints, power constraints of each distributed power supply, and power constraints of the tie line between the microgrid and the main grid.

第二方面,为能够高效地执行本发明所提供的一种微电网多态协调控制方法,本发明还提供了一种微电网多态协调控制系统,系统包括处理器、输入设备、输出设备和存储器,所述处理器、输入设备、输出设备和存储器相互连接,其中,所述存储器用于存储计算机程序,所述计算机程序包括程序指令,所述处理器被配置用于调用所述程序指令,执行本发明第一方面所述的微电网多态协调控制方法。本发明的微电网多态协调控制系统,结构紧凑、性能稳定,能够稳定地执行本发明提供的微电网多态协调控制方法,提升本发明整体适用性和实际应用能力。In the second aspect, in order to efficiently execute a microgrid multi-state coordinated control method provided by the present invention, the present invention also provides a microgrid multi-state coordinated control system. The system includes a processor, an input device, an output device and a a memory, the processor, the input device, the output device and the memory are interconnected, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to invoke the program instructions, The microgrid multi-state coordinated control method described in the first aspect of the present invention is executed. The microgrid multi-state coordination control system of the present invention has a compact structure and stable performance, can stably execute the microgrid multi-state coordination control method provided by the present invention, and improves the overall applicability and practical application capabilities of the present invention.

附图说明Description of drawings

图1为本发明实施例所提供的微电网多态协调控制方法流程图;Figure 1 is a flow chart of a multi-state coordinated control method for microgrids provided by an embodiment of the present invention;

图2为本发明实施例所提供的微电网多态协调控制系统结构图。Figure 2 is a structural diagram of a microgrid multi-state coordination control system provided by an embodiment of the present invention.

具体实施方式Detailed ways

下面将详细描述本发明的具体实施例,应当注意,这里描述的实施例只用于举例说明,并不用于限制本发明。在以下描述中,为了提供对本发明的透彻理解,阐述了大量特定细节。然而,对于本领域普通技术人员显而易见的是:不必采用这些特定细节来实行本发明。在其他实例中,为了避免混淆本发明,未具体描述公知的电路,软件或方法。Specific embodiments of the present invention will be described in detail below. It should be noted that the embodiments described here are only for illustration and are not intended to limit the present invention. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the invention. However, it will be apparent to one of ordinary skill in the art that these specific details need not be employed in order to practice the invention. In other instances, well-known circuits, software or methods have not been described in detail in order to avoid obscuring the present invention.

在整个说明书中,对“一个实施例”、“实施例”、“一个示例”或“示例”的提及意味着:结合该实施例或示例描述的特定特征、结构或特性被包含在本发明至少一个实施例中。因此,在整个说明书的各个地方出现的短语“在一个实施例中”、“在实施例中”、“一个示例”或“示例”不一定都指同一实施例或示例。此外,可以以任何适当的组合和、或子组合将特定的特征、结构或特性组合在一个或多个实施例或示例中。此外,本领域普通技术人员应当理解,在此提供的示图都是为了说明的目的,并且示图不一定是按比例绘制的。Throughout this specification, reference to "one embodiment," "an embodiment," "an example," or "an example" means that a particular feature, structure, or characteristic described in connection with the embodiment or example is included in the invention. In at least one embodiment. Thus, appearances of the phrases "in one embodiment," "in an embodiment," "one example," or "example" in various places throughout this specification are not necessarily all referring to the same embodiment or example. Furthermore, particular features, structures, or characteristics may be combined in one or more embodiments or examples in any suitable combination and/or subcombination. Furthermore, those of ordinary skill in the art will appreciate that the drawings provided herein are for illustrative purposes and that the drawings are not necessarily drawn to scale.

在一个可选的实施例中,请参见图1,图1为本发明实施例所提供的一种微电网多态协调控制方法流程图。如图1所示,所述微电网多态协调控制方法,包括如下步骤:In an optional embodiment, please refer to FIG. 1 , which is a flow chart of a microgrid multi-state coordinated control method provided by an embodiment of the present invention. As shown in Figure 1, the microgrid multi-state coordination control method includes the following steps:

S1、收集微电网的实时数据,确定微电网的结构和运行状态。S1. Collect real-time data of the microgrid and determine the structure and operating status of the microgrid.

在本实施例中,通过在微电网中安装数据采集装置采集微电网中各个节点的实时数据,采集的数据包括电压、电流、功率以及微电网的负荷电量,所述数据采集装置包括电压传感器、电流传感器和功率传感器,通过所述数据采集装置收集微电网中各个节点的电压、电流和功率,分析得到此时微电网的运行状态。In this embodiment, real-time data of each node in the microgrid is collected by installing a data collection device in the microgrid. The collected data includes voltage, current, power and load capacity of the microgrid. The data collection device includes a voltage sensor, The current sensor and power sensor collect the voltage, current and power of each node in the microgrid through the data acquisition device, and analyze the operating status of the microgrid at this time.

具体地,微电网的运行状态包括暂态、动态和稳定态。暂态是指电力系统变动较大的瞬时过程。在微电网中,暂态可能发生在系统发生故障、大负荷突然接入或断开、能源资源突发变化等情况下。在暂态过程中,电压、电流、功率等电力参数可能会发生瞬时的波动和变化,系统需要时间来重新建立稳态运行。动态是指电力系统随时间发生变化的过程。在微电网中,动态过程通常涉及能源资源的变化、负荷变化、电池充放电等情况。在动态过程中,系统会根据外部输入和内部控制信号作出相应的调整和响应,以保持稳定运行。稳态是指电力系统在相对稳定的操作状态下运行的情况。在微电网中,稳态下电力系统的各项参数(如电压、电流、功率等)会保持稳定的数值,并且系统中的能量产生与消耗基本平衡。本发明结合人工智能学习技术,对交直流微电网暂态、动态、稳定态进行计算分析并形成智能控制。目前国内主要以KW级发电的系统为主,缺少MW级大规模、多种类型分布式电源项目,本发明所提供的一种微电网多态协调控制方法稳定可靠,解决了交直流混合微电网多类型电源组合中各种电源体对电网影响调度问题。Specifically, the operating states of microgrids include transient, dynamic and steady states. Transient refers to the instantaneous process with large changes in the power system. In microgrids, transient states may occur when a system fails, a large load is suddenly connected or disconnected, or energy resources suddenly change. During the transient process, power parameters such as voltage, current, and power may fluctuate and change instantaneously, and the system needs time to re-establish steady-state operation. Dynamics refers to the process of changes in the power system over time. In microgrids, dynamic processes usually involve changes in energy resources, load changes, battery charging and discharging, etc. During the dynamic process, the system will make corresponding adjustments and responses based on external inputs and internal control signals to maintain stable operation. Steady state refers to a situation in which a power system operates in a relatively stable operating state. In a microgrid, various parameters of the power system (such as voltage, current, power, etc.) will maintain stable values in the steady state, and the energy generation and consumption in the system are basically balanced. This invention combines artificial intelligence learning technology to calculate and analyze the transient, dynamic and stable states of AC and DC microgrids and form intelligent control. At present, domestic power generation systems are mainly based on KW-level power generation systems, and there is a lack of MW-level large-scale and multiple types of distributed power projects. The multi-state coordinated control method of microgrids provided by the present invention is stable and reliable, and solves the problem of AC and DC hybrid microgrids. The impact of various power sources on the power grid in multi-type power combinations is a dispatch problem.

本发明提供的一种基于MW级人工智能交直流微电网暂态、动态、稳定态控制方法,还包括对所述微电网进行等值处理。微电网的等值过程是指在将微电网与主干网连接时,通过设置使得微电网在与主干网连接后能够保持原有的特性和功能。微电网的等值过程包括以下步骤:The present invention provides a transient, dynamic and steady-state control method for AC and DC microgrids based on MW-level artificial intelligence, which also includes equivalent processing of the microgrids. The equivalent process of microgrid refers to setting up the microgrid so that it can maintain its original characteristics and functions after being connected to the main network when connecting the microgrid to the main network. The equivalent process of microgrid includes the following steps:

建立电气连接:将微电网与35kV主干网架进行电气连接。该过程可以通过电缆、开关装置以及连接器来实现。Establish electrical connection: Electrically connect the microgrid to the 35kV main grid. This process can be achieved using cables, switching devices and connectors.

计算短路电流:对于等值分布式发电机,需要计算其在主干网架支撑下的短路电流,确保与原网络相同。该过程可以通过计算微电网中每个电源单元的发电能力和电气参数,再应用短路电流计算方法来得出结果。Calculate the short-circuit current: For equivalent distributed generators, it is necessary to calculate the short-circuit current supported by the main grid to ensure that it is the same as the original network. This process can be achieved by calculating the power generation capacity and electrical parameters of each power supply unit in the microgrid and then applying the short-circuit current calculation method to obtain the results.

控制电压和功率:为了保持微电网与主干网同步运行,在等值过程中需要对微电网进行电压和功率的控制。可以使用电压和功率控制器来实现对微网电压和功率的调节,使其与主干网保持同步。Control voltage and power: In order to keep the microgrid operating synchronously with the main network, the voltage and power of the microgrid need to be controlled during the equalization process. Voltage and power controllers can be used to regulate microgrid voltage and power to keep it in sync with the backbone.

监测与保护:在等值过程中,需要监测微电网与主干网之间的交流联系。该过程可以通过安装传感器和监测设备,并使用监测和保护系统来实现。监测系统可以实时监测微电网与主干网之间的电流、电压、功率等参数。Monitoring and protection: During the equalization process, the communication connection between the microgrid and the backbone network needs to be monitored. This process can be achieved by installing sensors and monitoring equipment and using monitoring and protection systems. The monitoring system can monitor the current, voltage, power and other parameters between the microgrid and the backbone network in real time.

模拟和验证:在等值过程完成后,进行模拟和验证,确保微电网与主干网连接的稳定性和可靠性。通过仿真软件或实验设备对等值后的系统进行电气特性模拟和性能验证。Simulation and verification: After the equivalence process is completed, simulation and verification are performed to ensure the stability and reliability of the connection between the microgrid and the backbone network. Use simulation software or experimental equipment to simulate the electrical characteristics and verify the performance of the equivalent system.

通过以上步骤,微电网可以在等值过程中保留35kV主干网架、重要直流线路以及它们之间的交流联系,并保证等值分布式发电机对主干网架支撑的短路电流与原网络相同,并且在等值过程中不需要解开35kV、10kV、04KV电压等级之间的电磁环网,等值后的系统可以用于在电磁暂态控制平台中计算大规模交直流系统间的相互作用特性,该动态等值方法很好地保留了大规模交直流系统的动态特性,进一步地,微电网与主干网之间可以有效地连接,并且共同运行,为用户提供可靠、高效的电力供应。Through the above steps, the microgrid can retain the 35kV backbone grid, important DC lines and the communication connections between them during the equivalent process, and ensure that the short-circuit current supported by the equivalent distributed generators on the backbone grid is the same as the original network. And there is no need to unravel the electromagnetic ring network between the 35kV, 10kV, and 04KV voltage levels during the equivalent process. The equivalent system can be used to calculate the interaction characteristics between large-scale AC and DC systems in the electromagnetic transient control platform. , this dynamic equivalent method well retains the dynamic characteristics of large-scale AC and DC systems. Furthermore, the microgrid and the backbone network can be effectively connected and run together to provide users with reliable and efficient power supply.

S2、建立微电网分布式电源数学模型,所述分布式电源数学模型包括太阳能光伏发电数学模型、风力发电数学模型、微型燃气轮机数学模型、燃料电池数学模型。S2. Establish a mathematical model of microgrid distributed power supply. The distributed power mathematical model includes a mathematical model of solar photovoltaic power generation, a mathematical model of wind power generation, a mathematical model of micro gas turbine, and a mathematical model of fuel cell.

在本实施例中,采用了matlab模型仿真设计以实现多电源多态仿真模拟功能,对比传统的分项电源仿真设计,该模型仿真设计适用于多类型电源,运行效率显著提升,该模型仿真设计方法还可以应用于无人海岛的多类型能源特性研究领域。In this embodiment, matlab model simulation design is used to realize multi-power supply multi-state simulation function. Compared with the traditional sub-item power supply simulation design, this model simulation design is suitable for multiple types of power supplies, and the operating efficiency is significantly improved. This model simulation design The method can also be applied to the research field of multi-type energy characteristics of uninhabited islands.

进一步地,基于matlab仿真以实现多电源多态仿真模拟功能包括以下步骤:Furthermore, implementing multi-power multi-state simulation function based on matlab simulation includes the following steps:

确定仿真系统的基本结构:确定系统中的多个电源和其它相关组件,并建立它们之间的连接关系。涉及的电源包括光伏电池、风力发电机、微型燃气轮机和燃料电池。Determine the basic structure of the simulation system: identify multiple power supplies and other related components in the system, and establish the connection relationships between them. Power sources involved include photovoltaic cells, wind turbines, micro gas turbines and fuel cells.

建立电源模型:为每个电源设计相应的数学模型,以表示其电气特性。Build a power supply model: Design a corresponding mathematical model for each power supply to represent its electrical characteristics.

具体地,在本实施例中,所述太阳能光伏发电数学模型,光伏电池的输出功率主要与温度、光照强度等因素有关,光伏电池的输出功率表示为:Specifically, in this embodiment, according to the mathematical model of solar photovoltaic power generation, the output power of photovoltaic cells is mainly related to factors such as temperature, light intensity, etc. The output power of photovoltaic cells is expressed as:

,

其中,为光伏电池的输出功率,k为温度补偿系数,S为太阳辐射强度,/>为电池板倾斜角度,A为电池板面积,η为电池板转换效率。in, is the output power of the photovoltaic cell, k is the temperature compensation coefficient, S is the solar radiation intensity,/> is the inclination angle of the panel, A is the area of the panel, and eta is the conversion efficiency of the panel.

具体地,在本实施例中,所述风力发电数学模型,风力发电机的输出功率与风速大小有关,所述风力发电机的输出功率满足如下公式:Specifically, in this embodiment, according to the mathematical model of wind power generation, the output power of the wind turbine is related to the wind speed, and the output power of the wind turbine satisfies the following formula:

,

其中,为风力发电机的输出功率,/>为扰流因素补偿系数,/>为风机叶轮半径,/>为风速,/>为空气密度,/>为风能转换系数。in, is the output power of the wind turbine,/> is the spoiler factor compensation coefficient,/> is the fan impeller radius,/> is the wind speed,/> is the air density,/> is the wind energy conversion coefficient.

具体地,在本实施例中,所述微型燃气轮机数学模型,满足如下公式:Specifically, in this embodiment, the micro gas turbine mathematical model satisfies the following formula:

,

其中,为微型燃气轮机的输出功率,/>为燃气的流量,/>为燃气的压力,/>为燃气的湿度,/>为燃气的含硫量,exp为自然对数的底数e的指数函数,/>、/>、/>为经验系数。in, is the output power of the micro gas turbine,/> is the flow rate of gas,/> is the gas pressure,/> is the humidity of gas,/> is the sulfur content of the gas, exp is the exponential function of the base e of the natural logarithm,/> ,/> ,/> is the experience coefficient.

具体地,在本实施例中,所述燃料电池数学模型,满足如下公式:Specifically, in this embodiment, the fuel cell mathematical model satisfies the following formula:

,

其中,为燃料电池的输出功率,/>为燃料电池的温度修正因子,U为燃料电池的输出电压,I为通过燃料电池的电流,/>为燃料电池的效率。in, is the output power of the fuel cell,/> is the temperature correction factor of the fuel cell, U is the output voltage of the fuel cell, I is the current through the fuel cell,/> for fuel cell efficiency.

设计多态控制策略:多电源系统需要合理的控制策略来管理不同电源之间的切换和功率分配。通过控制算法,在不同情况下动态选择电源,实现功率分配的优化。Design multi-state control strategies: Multi-power systems require reasonable control strategies to manage switching and power distribution between different power supplies. Through the control algorithm, the power supply is dynamically selected under different situations to achieve the optimization of power distribution.

搭建仿真模型:在matlab中搭建仿真模型,使用Simulink工具箱构建电路和系统模型,集成所需的电源模型、控制策略和其他相关组件。通过连接各个模块,并设置仿真参数,构建一个完整的多电源多态仿真模型。Build a simulation model: Build a simulation model in MATLAB, use the Simulink toolbox to build circuit and system models, and integrate the required power supply model, control strategy and other related components. By connecting each module and setting simulation parameters, a complete multi-power multi-state simulation model is constructed.

进一步地,运行搭建好的仿真模型,可以通过输出信号和仿真结果来分析电源的状态、功率输出以及进行控制策略的调整等,并根据需要进行优化和改进。Furthermore, by running the built simulation model, you can analyze the status of the power supply, power output, and adjust the control strategy through the output signals and simulation results, and optimize and improve as needed.

S3、根据所述微电网中分布式电源的类型建立微电网多目标优化调度模型。S3. Establish a microgrid multi-objective optimization dispatch model according to the types of distributed power sources in the microgrid.

具体地,在本实施例中,根据微电网的需求和优化目标,结合微电网中包含的不同类型的分布式电源,确定目标函数,进一步地,建立微电网多目标优化调度模型,所述建立微电网多目标优化调度模型包括:Specifically, in this embodiment, according to the needs and optimization goals of the microgrid, combined with different types of distributed power sources included in the microgrid, the objective function is determined, and further, a multi-objective optimization dispatch model of the microgrid is established. The microgrid multi-objective optimization dispatch model includes:

S31、建立以微电网运行成本最小、环境污染排放成本最小、额外效益最大的目标函数,所述目标函数满足如下公式:S31. Establish an objective function that minimizes the operating cost of the microgrid, minimizes the cost of environmental pollution emissions, and maximizes additional benefits. The objective function satisfies the following formula:

,

其中,为综合成本,/>为微电网运行成本,/>为环境污染排放成本,/>为额外效益,/>、/>、/>分别为微电网运行成本、环境污染排放成本、额外效益对应的权重系数。in, is the comprehensive cost,/> is the microgrid operating cost,/> is the cost of environmental pollution emissions,/> For additional benefits,/> ,/> ,/> They are the weight coefficients corresponding to the microgrid operating costs, environmental pollution emission costs, and additional benefits respectively.

本发明以微电网运行成本最小、环境污染排放成本最小、额外效益最大为目标,并对微电网的运行成本、环境污染排放成本和额外效益根据其对微电网运行综合成本的影响程度,赋予不同的权重系数,实现对微电网运行综合成本的优化。The present invention aims at minimizing the operating cost of the microgrid, minimizing the cost of environmental pollution emissions, and maximizing additional benefits, and assigns different operating costs, environmental pollution emission costs, and additional benefits to the microgrid based on their impact on the comprehensive cost of operating the microgrid. The weight coefficient achieves the optimization of the comprehensive cost of microgrid operation.

S32 、分析微电网并网运行时的约束条件,所述约束条件包括功率平衡约束、各分布式电源功率约束和微电网与主网的联络线功率约束。S32. Analyze the constraints when the microgrid is connected to the grid. The constraints include power balance constraints, power constraints of each distributed power supply, and tie line power constraints between the microgrid and the main grid.

进一步地,在本实施例中,所述约束条件满足如下公式:Further, in this embodiment, the constraints satisfy the following formula:

,

其中,为微电网总负荷,/>为分布式电源/>功率,/>为微电网与主网的联络线功率,和/>分别为第/>个分布式电源输出功率的最小值和最大值,/>和/>分别为微电网与主网的联络线功率的最小值和最大值。in, is the total load of the microgrid,/> For distributed power supply/> Power,/> is the power of the tie line between the microgrid and the main grid, and/> Respectively:/> The minimum and maximum output power of a distributed power supply,/> and/> are respectively the minimum value and the maximum value of the tie line power between the microgrid and the main grid.

本发明综合考虑了微电网运行时的功率平衡条件、各分布式电源输出功率的限制条件以及微电网与主网联络线功率的限制条件,通过设置功率平衡约束、各分布式电源功率约束和微电网与主网的联络线功率约束,在所述约束条件下保证微电网安全稳定地运行。This invention comprehensively considers the power balance conditions during the operation of the microgrid, the limiting conditions of the output power of each distributed power source, and the limiting conditions of the power of the tie line between the microgrid and the main grid. By setting the power balance constraints, the power constraints of each distributed power source and the microgrid, The power constraints of the tie line between the power grid and the main grid ensure the safe and stable operation of the microgrid under the constraints.

S33、在满足所述约束条件下,建立所述微电网多目标优化调度模型。S33. Under the condition that the constraints are met, establish the microgrid multi-objective optimization dispatch model.

具体地,根据微电网状态和用户需求,确定所述微电网中不同分布式电源的选择权重。根据分布式电源的类型、成本、可靠性、环境条件等因素来赋予不同分布式电源对应的权重值,将加权求和的结果作为其在微电网中贡献度的评价指标。应当理解,可以根据实际情况对微电网中分布式电源权重值的影响因素进行调整。Specifically, the selection weights of different distributed power sources in the microgrid are determined according to the microgrid status and user needs. According to factors such as the type, cost, reliability, and environmental conditions of distributed power sources, different distributed power sources are assigned corresponding weight values, and the weighted summation result is used as an evaluation index for their contribution to the microgrid. It should be understood that the influencing factors of the weight value of distributed power sources in the microgrid can be adjusted according to the actual situation.

进一步地,设计动态电源选择规则以根据微电网状态和分布式电源的权重值来选择微电网中的分布式电源。具体规则如下:Further, a dynamic power source selection rule is designed to select distributed power sources in the microgrid based on the microgrid status and the weight value of the distributed power sources. The specific rules are as follows:

根据微电网中包含的分布式电源的输出功率,计算各个分布式电源的可用电量,将分布式电源的权重值与可用电量相乘得出该分布式电源在微电网运行过程中的出力上限,若该上限无法满足当前微电网负荷用户的用电量需求,则选择其他分布式电源进行替代,若几种分布式电源均无法单独满足当前微电网负荷用户的用电量需求,则通过多种分布式电源组合的方式运行,满足微电网负荷用户的用电量需求。According to the output power of the distributed power sources included in the microgrid, the available power of each distributed power source is calculated, and the weight value of the distributed power source is multiplied by the available power to obtain the upper limit of the output of the distributed power source during the operation of the microgrid. If the upper limit cannot meet the power demand of current microgrid load users, other distributed power sources will be selected as replacements. If several distributed power sources cannot alone meet the power demand of current microgrid load users, multiple distributed power sources will be used. The distributed power supply combination operates to meet the power consumption needs of microgrid load users.

进一步地,在微电网运行过程中,根据微电网状态的变化,及时更新分布式电源的选择,可以周期性地或根据事件触发来重新评估并更新分布式电源的选择。Furthermore, during the operation of the microgrid, the selection of distributed power sources can be updated in a timely manner according to changes in the status of the microgrid. The selection of distributed power sources can be re-evaluated and updated periodically or based on event triggers.

S4、求解所述微电网优化调度模型,得到所述微电网并网运行时的优化调度策略。S4. Solve the microgrid optimal dispatch model to obtain the optimal dispatch strategy when the microgrid is connected to the grid.

具体地,在本实施例中,根据建立的所述微电网优化调度模型,得出微电网与主网并网运行时的优化调度策略。根据该策略实现对微电网中各项分布式电源的合理分配,实现能源的合理利用,以及降低微电网的运行成本,减少对环境造成的污染,增大微电网运行的额外收益,提高微电网的安全性和可靠性。更进一步地,根据微电网实际运行情况,不断调整控制策略。监测微电网中各项分布式电源的功率波动以及微电网负荷用户用电量需求变化情况,根据反馈信息对微电网中各项分布式电源进行合理分配,保证微电网的稳定运行。Specifically, in this embodiment, according to the established microgrid optimal dispatching model, an optimized dispatching strategy is obtained when the microgrid and the main grid are connected to the grid. According to this strategy, the rational distribution of various distributed power sources in the microgrid can be achieved, the rational utilization of energy can be achieved, the operating costs of the microgrid can be reduced, the pollution caused to the environment can be increased, the additional income of the microgrid operation can be increased, and the microgrid can be improved. safety and reliability. Furthermore, the control strategy is continuously adjusted based on the actual operation of the microgrid. Monitor the power fluctuations of various distributed power sources in the microgrid and changes in power demand of microgrid load users, and rationally allocate various distributed power sources in the microgrid based on feedback information to ensure the stable operation of the microgrid.

在又一个或者一些可选的实施例中,为了调整所述优化调度策略,满足所述微电网负荷用户的用电量需求,提高所述微电网的运行效率和可靠性,如图1所示,所述微电网多态协调控制方法,还包括如下步骤:In another or some optional embodiments, in order to adjust the optimal dispatching strategy to meet the power consumption needs of the microgrid load users and improve the operating efficiency and reliability of the microgrid, as shown in Figure 1 , the microgrid multi-state coordinated control method also includes the following steps:

S5、采集用户历史用电量,确定用户用电量的影响因素。S5. Collect the user's historical electricity consumption and determine the factors affecting the user's electricity consumption.

具体地,在本实施例中,为了准确测量用户用电量,需要安装电能表或智能电表来记录实际用电数据。电能表和智能电表可以提供微电网负荷用户各时段准确的用电数据。定期记录电能表或智能电表的读数,可以是每天、每周或每月进行一次,记录周期可以根据实际情况进行设置。通过传感器网络监测用户环境信息,并利用信息处理平台对所述环境信息进行分析,确定用户用电量的影响因素。Specifically, in this embodiment, in order to accurately measure the user's electricity consumption, an electric energy meter or a smart electric meter needs to be installed to record actual electricity consumption data. Electric energy meters and smart meters can provide microgrid load users with accurate power consumption data in various periods. Record the readings of electric energy meters or smart meters regularly, which can be done daily, weekly or monthly. The recording period can be set according to the actual situation. The user's environmental information is monitored through the sensor network, and the information processing platform is used to analyze the environmental information to determine the influencing factors of the user's electricity consumption.

S6、确定不同影响因素对用户用电量影响的权重系数。S6. Determine the weight coefficients of different influencing factors on the user's electricity consumption.

具体地,在本实施例中,根据不同影响因素对用户用电量的影响程度对其赋予不同的权重系数。该权重系数可以通过机器学习算法、神经网络模型等对输入的历史用电量数据结合其对应的天气、季节和时间因素进行分析处理,进一步地,得出天气、季节和时间因素对用户用电量的影响程度,输出对应的权重系数。Specifically, in this embodiment, different weighting coefficients are assigned to different influencing factors according to their degree of impact on the user's power consumption. This weight coefficient can be analyzed and processed through machine learning algorithms, neural network models, etc., by combining the input historical electricity consumption data with its corresponding weather, season, and time factors. Further, it can be concluded that the impact of weather, season, and time factors on user electricity consumption The degree of influence of the quantity is output, and the corresponding weight coefficient is output.

S7、根据所述权重系数和影响因素建立预测用户用电量的回归方程。S7. Establish a regression equation for predicting the user's electricity consumption based on the weight coefficient and influencing factors.

具体地,在本实施例中,根据天气因素、季节因素和时间因素以及它们对应的权重系数建立预测用户用电量的回归方程,所述回归方程满足如下公式:Specifically, in this embodiment, a regression equation for predicting user electricity consumption is established based on weather factors, seasonal factors, and time factors and their corresponding weight coefficients. The regression equation satisfies the following formula:

,

其中,为用电量预测值,/>为截距,/>为天气因素的权重系数,/>为天气因素,/>为季节因素的权重系数,/>为季节因素,/>为时间因素的权重系数,/>为时间因素。in, is the predicted value of electricity consumption,/> is the intercept,/> is the weight coefficient of weather factors,/> For weather factors,/> is the weight coefficient of seasonal factors,/> For seasonal factors,/> is the weight coefficient of the time factor,/> for the time factor.

S8、通过所述回归方程得出用户用电量预测值。S8. Obtain the predicted value of the user's power consumption through the regression equation.

具体地,在本实施例中,通过该回归方程计算得出用户用电量预测值,更准确地预测微电网负荷用户未来的用电量情况,所述回归方程可通过残差分析来检验回归方程的拟合效果,得出实际测量值与预测值的差距,进一步地,根据残差分析的反馈值,调整所述回归方程中影响因素的权重系数,使得所述回归方程具有更好的拟合效果,输出更准确的用电量预测值。Specifically, in this embodiment, the user's power consumption prediction value is calculated through the regression equation to more accurately predict the future power consumption of the microgrid load user. The regression equation can be used to test the regression through residual analysis. The fitting effect of the equation can be used to obtain the difference between the actual measured value and the predicted value. Furthermore, according to the feedback value of the residual analysis, the weight coefficients of the influencing factors in the regression equation are adjusted so that the regression equation has a better fit. The combined effect is to output more accurate power consumption prediction values.

对比原有的用户用电量数据预测方法,本发明创新性地对用户用电量进行采集,综合考虑影响用户用电量的多种因素,并根据用户用电量的影响因素拟合回归方程,进一步输出更准确的预测值,该方法还可应用在微电网智能用电在线监测领域。Compared with the original user power consumption data prediction method, the present invention innovatively collects user power consumption, comprehensively considers multiple factors that affect user power consumption, and fits a regression equation based on the influencing factors of user power consumption. , further outputting more accurate prediction values, this method can also be applied in the field of smart power online monitoring of microgrids.

S9、根据所述用户用电量预测值调整所述优化调度策略。S9: Adjust the optimized scheduling strategy according to the predicted value of user power consumption.

具体地,在本实施例中,根据该预测值进一步调整所述优化调度策略,对微电网中各项分布式电源根据其出力上限进行合理分配,提高微电网中各项分布式电源的利用率,满足所述微电网负荷用户的用电量需求,提高所述微电网的运行效率和可靠性。Specifically, in this embodiment, the optimized dispatching strategy is further adjusted based on the predicted value, and each distributed power source in the microgrid is reasonably allocated according to its output upper limit, so as to improve the utilization rate of each distributed power source in the microgrid. , to meet the power consumption needs of the microgrid load users and improve the operating efficiency and reliability of the microgrid.

请参见图2,在一个可选的实施例中,为能够高效地执行本发明所提供的一种微电网多态协调控制方法,本发明还提供了一种微电网多态协调控制系统,所述系统包括处理器、输入设备、输出设备和存储器,所述处理器、输入设备、输出设备和存储器相互连接,其中,所述存储器用于存储计算机程序,所述计算机程序包括程序指令,所述处理器被配置用于调用所述程序指令,执行如本发明所提供的微电网多态协调控制方法相关实施例的具体步骤。本发明的微电网多态协调控制系统,结构完整、客观稳定,能够高效地执行本发明的微电网多态协调控制方法,提升本发明整体适用性和实际应用能力。Please refer to Figure 2. In an optional embodiment, in order to efficiently execute a microgrid multi-state coordinated control method provided by the present invention, the present invention also provides a microgrid multi-state coordinated control system. The system includes a processor, an input device, an output device and a memory, the processor, the input device, the output device and the memory are connected to each other, wherein the memory is used to store a computer program, the computer program includes program instructions, the The processor is configured to call the program instructions to execute specific steps of relevant embodiments of the microgrid multi-state coordinated control method provided by the present invention. The microgrid multi-state coordination control system of the present invention has a complete structure, is objectively stable, can efficiently execute the microgrid multi-state coordination control method of the present invention, and improves the overall applicability and practical application capabilities of the present invention.

最后应说明的是:以上各实施例仅用以说明本发明的技术方案,而非对其限制;尽管参照前述各实施例对本发明进行了详细的说明,本领域的普通技术人员应当理解:其依然可以对前述各实施例所记载的技术方案进行修改,或者对其中部分或者全部技术特征进行等同替换;而这些修改或者替换,并不使相应技术方案的本质脱离本发明各实施例技术方案的范围,其均应涵盖在本发明的权利要求和说明书的范围当中。Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention, but not to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: The technical solutions described in the foregoing embodiments can still be modified, or some or all of the technical features can be equivalently replaced; and these modifications or substitutions do not deviate from the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention. scope, they should be covered by the claims and the scope of the description of the present invention.

Claims (10)

1. A micro-grid multi-state coordination control method is characterized by comprising the following steps:
collecting real-time data of a micro-grid, and determining the structure and the running state of the micro-grid;
establishing a micro-grid distributed power source mathematical model, wherein the distributed power source mathematical model comprises a solar photovoltaic power generation mathematical model, a wind power generation mathematical model, a micro gas turbine mathematical model and a fuel cell mathematical model;
establishing a micro-grid multi-objective optimization scheduling model according to the type of the distributed power supply in the micro-grid;
and solving the micro-grid optimization scheduling model to obtain an optimization scheduling strategy in the grid-connected operation of the micro-grid.
2. The method for coordinated control of multiple states of a micro-grid according to claim 1, wherein the establishing a multi-objective optimal scheduling model of the micro-grid comprises:
establishing an objective function with minimum running cost, minimum environmental pollution emission cost and maximum additional benefit of the micro-grid, wherein the objective function meets the following formula:
wherein,for the comprehensive cost->For the running cost of the micro-grid, < >>For environmental pollution emission cost, < >>For additional benefit(s)>、/>The weight coefficients corresponding to the running cost, the environmental pollution emission cost and the additional benefit of the micro-grid are respectively obtained;
analyzing constraint conditions of the micro-grid during grid-connected operation, wherein the constraint conditions comprise power balance constraint, power constraint of each distributed power supply and tie line power constraint of the micro-grid and a main network;
and under the condition that the constraint condition is met, establishing the micro-grid multi-objective optimization scheduling model.
3. The micro-grid multi-state coordination control method according to claim 1, characterized in that the micro-grid multi-state coordination control method further comprises:
collecting historical electricity consumption of a user, and determining influence factors of the electricity consumption of the user;
determining weight coefficients of influences of different influencing factors on the electricity consumption of the user;
establishing a regression equation for predicting the electricity consumption of the user according to the weight coefficient and the influence factors;
obtaining a predicted value of the electricity consumption of the user through the regression equation;
and adjusting the optimal scheduling strategy according to the predicted value of the electricity consumption of the user.
4. The micro-grid multi-state coordination control method according to claim 1, wherein the output power of the photovoltaic cell is expressed as:
wherein,for the output power of the photovoltaic cell, k is the temperature compensation coefficient, S is the solar radiation intensity, +.>The inclination angle of the battery plate is that A is the area of the battery plate, and eta is the conversion efficiency of the battery plate.
5. The micro grid multi-state coordination control method according to claim 1, wherein the wind power generation mathematical model is that the output power of a wind power generator is related to the wind speed, and the output power of the wind power generator satisfies the following formula:
wherein,for the output power of the wind power generator, < > for>Compensating the coefficient for the turbulence factor->Is the radius of the fan impeller>For wind speed>For air density->Is the wind energy conversion coefficient.
6. The micro grid multi-state coordination control method according to claim 1, wherein the mathematical model of the micro gas turbine satisfies the following formula:
wherein,for the output of the micro gas turbine, +.>For the flow of gas, ">For the pressure of the fuel gas, ">Humidity of fuel gas, ">For the sulfur content of the gas, exp is an exponential function of the base e of natural logarithm, ++>、/>、/>Is an empirical coefficient.
7. The micro grid multi-state coordination control method according to claim 1, wherein the mathematical model of the fuel cell satisfies the following formula:
wherein,for the output power of the fuel cell, +.>U is the output voltage of the fuel cell, I is the current through the fuel cell, which is the temperature correction factor of the fuel cell, +.>Is the efficiency of the fuel cell.
8. The micro grid multi-state coordination control method according to claim 3, wherein the regression equation satisfies the following formula:
wherein,for the predicted value of electricity consumption, < >>For the intercept->Weight coefficient for weather factor, +.>For weather factors, ->Weight coefficient for seasonal factors, +.>For seasonal factors, ->Weight coefficient for time factor, +.>Is a time factor.
9. The micro grid multi-state coordination control method according to claim 2, wherein the constraint condition satisfies the following formula:
wherein,for the total load of the microgrid, < >>For distributed power supply->Power (I)>For the link power of the micro-grid and the main grid, < >>And->Respectively +.>Minimum and maximum value of output power of individual distributed power supply, +.>And->The minimum and maximum values of the link power of the micro-grid and the main network are respectively.
10. A micro grid polymorphism coordination control system, characterized in that the system comprises a processor, an input device, an output device and a memory, which are connected to each other, wherein the memory is for storing a computer program comprising program instructions, the processor being configured to invoke the program instructions for executing the micro grid polymorphism coordination control method as claimed in any one of claims 1-9.
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Denomination of invention: A Multi state Coordinated Control Method and System for Microgrid

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