KR102509371B1 - Energy storage charging power regulation method and energy management system for grid-connected power generation system with photovoltaic and energy storage - Google Patents

Abstract

An energy storage charging power control method and energy management system for a grid-connected power generation system with photovoltaic power generation and energy storage are provided to realize that the positive and negative values of the exchange power at the grid-connected point always meet the requirements. do. The method includes: obtaining, as photovoltaic power at a current time, photovoltaic power at a next time based on the photovoltaic power at the current time within a preset time period with the current time as an end time; predicting power; and calculates the energy storage charging power to be reached in the next time based on the prediction result, and adjusts, by the power conversion system, the energy storage charging power at the current time to be equal to the energy storage charging power to be reached in the next time. It includes steps to

Description

ENERGY STORAGE CHARGING POWER REGULATION METHOD AND ENERGY MANAGEMENT SYSTEM FOR GRID-CONNECTED POWER GENERATION SYSTEM WITH PHOTOVOLTAIC AND ENERGY STORAGE}

The present disclosure relates to the field of grid-connected power generation technology with photovoltaic power generation and energy storage, and more particularly, to an energy storage charging power control method and energy management system for a grid-connected power generation system with photovoltaic power generation and energy storage. it's about

1 shows a grid-connected power generation system with photovoltaic power generation and energy storage, where the DC side of the photovoltaic inverter is connected to photovoltaic panels and the DC side of a power conversion system (PCS) is connected to an energy storage battery. , the AC side of the photovoltaic inverter and the AC side of the PCS connected in parallel to it are connected to the grid. A PCS can control the charging and discharging process of an energy storage battery. During time periods required by policy, the energy of the photovoltaic panels is stored in the energy storage battery via the photovoltaic inverter and PCS, and during other time periods, the energy of the energy storage battery is sent to the grid via the PCS.

During the time period during which the energy of the photovoltaic panels is stored in the energy storage battery, the PCS provides timely energy storage charging power, so that the power flow between the grid and the grid-connected power generation system with photovoltaic power generation and energy storage always meets the requirements. It is necessary to track the photovoltaic power in real time to adjust. In general, the power flow between a grid-connected power generation system with photovoltaic power generation and energy storage and the grid can be expressed by positive and negative values of the exchange power at the grid-connected point, and the grid-connected power generation system with photovoltaic power generation and energy storage When the connected generation system is getting electricity from the grid, the exchanged power at the grid-connected point is positive. Some grid-connected power generation systems with photovoltaic power generation and energy storage require that the exchanged power at the grid-connected point cannot be positive, and some grid-connected power generation systems with photovoltaic power generation and energy storage require that the exchanged power at the grid-connected point cannot be positive. Requires that the exchanged power cannot be negative. However, the PCS may have a certain delay in making power adjustments, so there is a possibility that the positive and negative values of the exchanged power at the grid-connected point may not meet the requirements within the delay time.

In light of this, energy storage charging power regulation for grid-connected power generation systems with photovoltaic and energy storage, in order to realize that the positive and negative values of exchange power at grid-connected points always meet the requirements. A method and energy management system are provided.

An energy storage charging power control method for a grid-connected power generation system having photovoltaic power generation and energy storage,

As photovoltaic power at the current time, obtain photovoltaic power within a preset time period with the current time as an end time, and photovoltaic power at the next time based on the photovoltaic power at the current time. predicting power; and

Calculating an energy storage charging power to be reached at the next time based on a prediction result, and adjusting, by a power conversion system, the energy storage charging power at the current time to be equal to the energy storage charging power to be reached at the next time Include steps.

In one embodiment, predicting the photovoltaic power at the next time,

directly predicting the photovoltaic power at the next time; or

predicting a decrease percentage or derivative of photovoltaic power at the next time, and calculating photovoltaic power at the next time based on the decrease percentage or derivative of photovoltaic power at the next time.

In an embodiment, the energy storage charging power to be reached in the next time is calculated based on the prediction result, and the energy storage charging power to be reached in the next time is calculated by a power conversion system by the energy storage charging power in the current time. The step of adjusting to be equal to the power is,

에 따라 상기 현재 시간에서의 에너지 스토리지 충전 전력을 조정하는 단계를 포함하고, Ppcs(n)은 상기 현재 시간에서의 에너지 스토리지 충전 전력이고, Ppv(n)은 상기 현재 시간에서의 광발전 전력이고, Pself는 상기 광발전 및 에너지 스토리지를 갖는 그리드-연결 발전 시스템의 자기-소비 전력이고, C는 상기 다음 시간에서의 광발전 전력의 감소 퍼센테이지이다.By the power conversion system, the formula

Adjusting the energy storage charging power at the current time according to Ppcs(n) is the energy storage charging power at the current time, Ppv(n) is the photovoltaic power at the current time, Pself is the self-consumption power of the grid-connected power generation system with the photovoltaic power and energy storage, and C is the reduction percentage of the photovoltaic power in the next time.

는 하기의 공식으로 교체되며:In one embodiment, when the grid-connected power generation system with the photovoltaic and energy storage is not allowed to obtain electricity from the grid, the formula

is replaced by the formula:

k is a preset constant and is 0<k<1.

In one embodiment,

는 하기의 공식으로 교체되며:In the case where the grid-connected power generation system with the photovoltaic and energy storage is not allowed to send electricity to the grid, the formula

is replaced by the formula:

k is a preset constant and is 0<k<1.

In an embodiment, the algorithm for predicting the photovoltaic power at the next time is one of a decision tree algorithm, a deep learning algorithm, a neural network algorithm, a random forest algorithm and a support vector regression algorithm.

An energy management system for a grid-connected power generation system with photovoltaic power generation and energy storage,

a data acquisition unit, configured to obtain the photovoltaic power as the photovoltaic power at the current time within a preset time period with the current time as an end time; and

predict photovoltaic power at the next time based on the photovoltaic power at the current time collected from the data acquisition unit, calculate energy storage charging power to be reached at the next time based on the prediction result, and convert power and a monitoring unit, configured to instruct the system to adjust the energy storage charging power at the current time to be equal to the energy storage charging power to be reached at the next time.

에 따라 상기 현재 시간에서의 에너지 스토리지 충전 전력을 조정하게 지시하도록 구성되고, Ppcs(n)은 상기 현재 시간에서의 에너지 스토리지 충전 전력이고, Ppv(n)은 상기 현재 시간에서의 광발전 전력이고, Pself는 상기 광발전 및 에너지 스토리지를 갖는 그리드-연결 발전 시스템의 자기-소비 전력이고, C는 상기 다음 시간에서의 광발전 전력의 감소 퍼센테이지이다.In one embodiment, the monitoring unit predicts photovoltaic power at the next time based on the photovoltaic power at the current time collected from the data acquisition unit, and the power conversion system formulates

configured to instruct to adjust the energy storage charging power at the current time according to Ppcs(n) is the energy storage charging power at the current time, Ppv(n) is the photovoltaic power at the current time, Pself is the self-consumption power of the grid-connected power generation system with the photovoltaic power and energy storage, and C is the reduction percentage of the photovoltaic power in the next time.

In one embodiment, when the grid-connected power generation system with photovoltaic power and energy storage is not allowed to obtain electricity from the grid, the monitoring unit collects the photovoltaic power at the current time from the data acquisition unit. and instruct the power conversion system to adjust the energy storage charging power Ppcs(n) at the current time according to the following formula:

k is a preset constant and is 0<k<1.

In one embodiment, when the grid-connected power generation system with photovoltaic power and energy storage is not allowed to send electricity to the grid, the monitoring unit collects the photovoltaic power at the current time from the data acquisition unit. and instruct the power conversion system to adjust the energy storage charging power Ppcs(n) at the current time according to the following formula:

k is a preset constant and is 0<k<1.

By estimating the photovoltaic power at the next time, in order to leave sufficient reaction time for the PCS and thus avoid situations where the positive and negative values of the exchange power at the grid-connected point cannot meet the requirements, It can be seen from the above technical solutions of the present disclosure that adjustments to storage charging power can be made.

To explain the technical solutions in the prior art or in the embodiments of the present disclosure more clearly, below, drawings necessary for description of the embodiments or the prior art will be briefly introduced. Clearly, the drawings in the following description are merely some embodiments of the present disclosure. For those skilled in the art, other drawings can also be obtained according to these drawings without any creative work.
1 is a schematic structural diagram of a grid-connected power generation system with photovoltaic power generation and energy storage in the prior art.
2 is a flowchart of an energy storage charging power adjustment method for a grid-connected power generation system having photovoltaic power generation and energy storage according to an embodiment of the present disclosure.
3 is a flowchart of a method for adjusting energy storage charging power for a grid-connected power generation system having photovoltaic power generation and energy storage according to another embodiment of the present disclosure.
4 is a flowchart of an energy storage charging power adjustment method for a grid-connected power generation system with photovoltaic power generation and energy storage according to another embodiment of the present disclosure.
5 is a schematic structural diagram of an energy management system for a grid-connected power generation system with photovoltaic power generation and energy storage according to an embodiment of the present disclosure.

In the following, technical solutions in the embodiments of the present disclosure will be clearly and completely described with reference to the accompanying drawings in the embodiments of the present disclosure. Clearly, the described embodiments are not all embodiments, but only some of the embodiments of the present disclosure. All other embodiments obtained by a person skilled in the art based on the embodiments of the present disclosure without any creative work shall fall within the protection scope of the present disclosure.

An energy storage charging power regulation method for a grid-connected power generation system with photovoltaic power generation and energy storage is provided in the present disclosure. Referring to Fig. 2, the method includes steps S01-S03.

In step S01, as the photovoltaic power at the current time, the photovoltaic power is obtained within a preset time period with the current time as the end time, and the photovoltaic power at the next time is obtained based on the photovoltaic power at the current time. predicted

Specifically, the photovoltaic power is also the output power of the photovoltaic inverter. According to "photovoltaic power within a preset time period with the current time as end time", the photovoltaic power at the next time can be predicted. The power prediction algorithm may be a decision tree algorithm, a deep learning algorithm, a neural network algorithm, a random forest algorithm or a support vector regression algorithm. The longer the preset time period is described, the higher the accuracy of the power prediction will be, but the amount of computation and storage will increase accordingly. In practice, compromises need to be considered in setting the preset time period. For example, the preset time period may be set to 24 hours. At this time, the photovoltaic power within the preset time period with the current time as the end time is the photovoltaic power in the last 24 hours. The time resolution used by the power prediction algorithm can be, but is not limited to, minutes or seconds. Time resolution here refers to the interval time between the current time (denoted as time n) and the next time (denoted as time n+1).

Regarding the prediction of photovoltaic power at the next hour, one approach is to directly predict the photovoltaic power at the next hour, and another approach is the derivative of the photovoltaic power at the next hour or the photovoltaic power at the next hour. predicting the percentage decrease and then calculating the photovoltaic power at the next hour based on the derivative of the photovoltaic power at the next hour or the percentage decrease of the photovoltaic power at the next hour. For explanation, the photovoltaic power at the next time is denoted Ppv(n+1), then the derivative of the photovoltaic power at the next time is dPpv(n+1)/dt(n+1). If dPpv(n+1)/dt(n+1) is positive, it indicates that the photovoltaic power in the next time increases; if dPpv(n+1)/dt(n+1) is negative, it indicates that the next time Indicates that the photovoltaic power at time decreases. The decrease percentage of the photovoltaic power at the next time is denoted by C, where C ranges from -100% to 100%, that is, -100%≤C≤100%. If the decrease percentage C of photovoltaic power is positive, it indicates that the photovoltaic power in the next hour will decrease, and if the decrease percentage of photovoltaic power is negative, it indicates that the photovoltaic power in the next hour will increase.

In step S02, the energy storage charging power to be reached in the next time is calculated based on the predicted result.

Specifically, the energy storage charging power that will be reached in the next time is represented by Ppcs(n+1) and is expressed by the following formula:

Here, Pself is the self-consumption power of the grid-connected power generation system with photovoltaic power generation and energy storage. The dynamic range of self-consumption power of a grid-connected power generation system with photovoltaic power generation and energy storage is very small and can be neglected. Generally, the self-consumption of grid-connected power generation systems with photovoltaic power and energy storage is considered a fixed value. Ppv(n) is the photovoltaic power at the current time.

In step S03, the energy storage charging power at the current time is adjusted by the PCS to equal the energy storage charging power to be reached at the next time.

Specifically, when the energy storage charging power at the current time is represented by Ppcs(n), and the energy storage charging power Ppcs(n+1) to be reached at the next time is predicted according to Equation 1, PCS is the current time adjusts the energy storage charging power Ppcs(n) at equal to the energy storage charging power Ppcs(n+1) to be reached at the next time, which means that the PCS adjusts the energy storage charging power at the current time according to the following formula: equivalent to doing:

During the time period during which the energy of the photovoltaic panels is stored in the energy storage battery, the PCS adjusts the charging power of the energy storage battery in a timely manner so that the positive and negative values of the exchange power at the grid-connection point always meet the requirements. For this purpose, it is necessary to track photovoltaic power in real time. Sometimes, exchange power at a grid-connected point is required to be non-positive, which means that grid-connected power generation systems with photovoltaic and energy storage are not allowed to obtain electricity from the grid; Sometimes exchange power at grid-connected points is required to be non-negative, meaning that grid-connected power generation systems with photovoltaic and energy storage are not allowed to send electricity to the grid. However, there may be a certain delay in the power adjustment made by the PCS, and the energy storage charge power cannot be changed in time when the next time comes within the delay time. Thus, when the PCS adjusts the power when the next time comes, the exchange power Ppcc(n+1) at the grid-connected point changes to Ppv(n+1)-Ppcs(n+1)-Pself at the right time. It cannot be, but it is equivalent to Ppv(n+1)-Ppcs(n)-Pself. At this time, it is very likely that the positive and negative values of the exchange power at the grid-connection point do not meet the requirements. In this regard, according to embodiments of the present disclosure, in order to leave sufficient response time for the PCS and thus avoid situations where the positive and negative values of the exchange power at the grid-connection point cannot meet the requirements, the following By predicting the photovoltaic power in time, the PCS can make adjustments to the energy storage charge power in advance.

In addition, considering the relatively large amount of computation in real-time prediction of photovoltaic power, in the embodiments of the present disclosure, on the premise that the positive and negative values of the exchange power at the grid-connection point always meet the requirements, The photovoltaic power at the current time is allowed to be used directly for power adjustment under certain circumstances, thus reducing the amount of calculation. In other words, power adjustment is made according to Equation 3 below under specific circumstances; Alternatively, power adjustment is performed according to Equation 2 in the remaining time.

Here, k is a percentage margin and is a preset constant in the range of 0 to 1 (ie, 0<k<1). For example, k can be set as 95%, which means that a margin of 5% remains to cover the reduction in photovoltaic power.

Equation 2 adjusts the energy storage charging power at the current time based on the photovoltaic power at the next time, and Equation 3 adjusts the current time based on the photovoltaic power at the current time when the percentage margin is set. It is to adjust the energy storage charging power in time. In the case where the PCS simply performs power adjustment according to Equation 2, there may be a large calculation amount involved when the system is estimating the photovoltaic power; When the PCS simply performs power adjustment according to Equation 3, sometimes it cannot meet the policy requirements. Therefore, a compromise is made in an embodiment of the present disclosure, that is, power adjustment is made according to the following Equation 3 under specific circumstances; Alternatively, power adjustment is performed according to Equation 2 in the remaining time. The running time period occupied by each equation depends on the specific requirements for exchange power at the grid-connected point. A specific explanation follows.

1. If the exchanged power at the grid-connected point cannot be positive, the PCS can adjust the energy storage charging power Ppcs(n) at the current time according to Equation 4 below:

A method for adjusting charging power of energy storage for a grid-connected power generation system having photovoltaic power generation and energy storage corresponding to Equation 4 is shown in FIG. 3 , and the method includes steps S11 and S12.

In step S11, as the photovoltaic power at the current time, the photovoltaic power is obtained within a preset time period with the current time as the end time, and based on the photovoltaic power at the current time, the photovoltaic power at the next time is obtained. predicted

In step S12, the energy storage charging power at the current time is adjusted by the PCS according to equation (4).

The derivation process of Equation 4 is as follows:

In the case where the PCS simply adjusts the power according to Equation 3, the exchanged power at the grid-connected point will become positive when the reduced percentage C of the photovoltaic power exceeds the percentage margin 1-k. For explanation, let's take the following example.

For a 1MW/3MWh grid-connected power generation system with photovoltaic power generation and energy storage, the self-consumption power of this system is 10kW. Assuming that the percentage margin k is set to 95% and the photovoltaic power Ppv(n) at time n is 800 kW, the energy storage charge power Ppcs(n) at time n is equal to 750 kW (i.e., Ppcs(n) = 800kW*95% - 10kW = 750kW). Assuming that the reduction percentage C of photovoltaic power at time n+1 is 5%, since PCS cannot respond immediately, the energy storage charging power Ppcs(n+1) at time n+1 is still 750 kW, (exchange power at grid-connected point at time n+1) = (photovoltaic power at time n+1) - (energy storage charge power at time n+1) - (self-consumption power) = 800 *(1-5%)-750kW-10kW = 0kW, which meets the requirements. When the reduction percentage C of photovoltaic power at time n+1 is less than 5%, the exchanged power at the grid-connection point is negative, which also meets the requirements. However, when the reduction percentage C of the photovoltaic power at time n+1 is greater than 5%, the exchanged power at the grid-connection point is positive, which does not meet the requirements. Therefore, in this example, equation (2) must be executed when C>5%, and equation (3) must be executed when C≤5%, which satisfies equation (4).

2. If the exchanged power at the grid-connected point cannot be negative, the PCS can adjust the energy storage charge power Ppcs(n) at the current time according to the following equation:

A method for adjusting charging power of energy storage for a grid-connected power generation system having photovoltaic power generation and energy storage corresponding to Equation 5 is shown in FIG. 4 , and the method includes steps S21 and S22.

In step S21, as the photovoltaic power at the current time, the photovoltaic power is obtained within a preset time period with the current time as the end time, and the photovoltaic power at the next time is obtained based on the photovoltaic power at the current time. predicted

In step S22, the energy storage charging power at the current time is adjusted by the PCS according to equation (5).

The derivation process of Equation 5 is as follows.

In the case where the PCS simply adjusts the power according to Equation 3, the exchanged power at the grid-connected point will become negative when the reduction percentage C of the photovoltaic power is smaller than the percentage margin 1-k. For explanation, let's take the following example.

For a 1MW/3MWh grid-connected power generation system with photovoltaic power generation and energy storage, the self-consumption power of this system is 10kW. Assuming that the percentage margin k is set to 95% and the photovoltaic power Ppv(n) at time n is 800 kW, the energy storage charge power Ppcs(n) at time n is equal to 750 kW (i.e., Ppcs(n) = 800kW*95% - 10kW = 750kW). Assuming that the reduction percentage C of photovoltaic power at time n+1 is 5%, since PCS cannot respond immediately, the energy storage charging power Ppcs(n+1) at time n+1 is still 750 kW, (exchange power at grid-connected point at time n+1) = (photovoltaic power at time n+1) - (energy storage charge power at time n+1) - (self-consumption power) = 800 *(1-5%)-750kW-10kW = 0kW, which meets the requirements. However, when the reduction percentage C of the photovoltaic power at time n+1 is less than 5%, the exchanged power at the grid-connection point is negative, which does not meet the requirements. When the reduction percentage C of the photovoltaic power at time n+1 is greater than 5%, the exchanged power at the grid-connection point is positive, which meets the requirements. Therefore, in this example, equation (3) should be executed when C≥5%, and equation (2) should be executed when C<5%, which satisfies equation (5).

Corresponding to the above method embodiment, an energy management system for a grid-connected power generation system with photovoltaic power generation and energy storage is provided in one embodiment of the present disclosure. As shown in Figure 5, the energy management system:

a data acquisition unit 100, configured to obtain the photovoltaic power as the photovoltaic power at the current time within a preset time period with the current time as an end time; and

Predict the photovoltaic power at the next time based on the photovoltaic power at the current time collected from the data acquisition unit 100, calculate the energy storage charging power to be reached at the next time based on the prediction result, and convert the power and a monitoring unit 200 , configured to instruct the system to adjust the energy storage charging power at the current time to be equal to the energy storage charging power to be reached at the next time.

에 따라 현재 시간에서의 에너지 스토리지 충전 전력을 조정하게 지시하도록 구성되며, 여기에서, Ppcs(n)은 현재 시간에서의 에너지 스토리지 충전 전력이고, Ppv(n)은 현재 시간에서의 광발전 전력이고, Pself는 광발전 및 에너지 스토리지를 갖는 그리드-연결 발전 시스템의 자기-소비 전력이고, C는 다음 시간에서의 광발전 전력의 감소 퍼센테이지이다.In one embodiment, specifically, the monitoring unit 200 predicts the photovoltaic power at the next time based on the photovoltaic power at the current time collected from the data acquisition unit, and the power conversion system formula

Instruct to adjust the energy storage charging power at the current time according to , where Ppcs(n) is the energy storage charging power at the current time, Ppv(n) is the photovoltaic power at the current time, Pself is the self-consumption power of the grid-connected power generation system with photovoltaic power generation and energy storage, and C is the reduction percentage of photovoltaic power in the next time.

In one embodiment, in case the grid-connected power generation system with photovoltaic power and energy storage is not allowed to obtain electricity from the grid, the monitoring unit 200 specifically provides photovoltaic power generation at the current time collected from the data acquisition unit. and predict the photovoltaic power at the next time based on the power and instruct the power conversion system to adjust the energy storage charging power Ppcs(n) at the current time according to the following formula:

k is a preset constant and is 0<k<1.

In one embodiment, in case the grid-connected power generation system with photovoltaic power and energy storage is not allowed to send electricity to the grid, the monitoring unit 200 specifically provides photovoltaic power generation at the current time collected from the data acquisition unit. and predict the photovoltaic power at the next time based on the power and instruct the power conversion system to adjust the energy storage charging power Ppcs(n) at the current time according to the following formula:

k is a preset constant and is 0<k<1.

Various embodiments herein have been described in an incremental manner. Each embodiment focuses on differences from other embodiments, and the same or similar parts between the various embodiments may be referenced with respect to each other. For the system presented in this embodiment, since this system corresponds to the method presented in the embodiment, the description thereof is relatively simple, and the relevant part can be referred to as the description of the method part.

Terms such as "first" and "second" in the specification, claims and above-mentioned drawings of this disclosure are used to distinguish similar but different objects, and refer to a particular sequence or sequence. It is not necessary to explain. Further, a process, method, product, or device comprising a set of elements may include not only those elements but also other elements not explicitly listed, or may include elements unique to such process, method, product, or device. , the terms “include”, “comprise” or any other variation thereof are intended to cover a non-exclusive inclusion. Absent further limitations, an element defined by the sentence “including a” does not preclude the presence of other identical elements in a process, method, product or device containing such elements.

The above description of the presented embodiments enables any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be apparent to those skilled in the art to which the present invention pertains, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the embodiments of the present disclosure. Examples can be implemented. Therefore, embodiments of the present disclosure are not limited to the embodiments provided herein, but are to be accorded the widest scope consistent with the principles and novel features presented herein.

Claims (10)

An energy storage charging power control method for a grid-connected power generation system having photovoltaic power generation and energy storage,
As photovoltaic power at the current time, obtain photovoltaic power within a preset time period with the current time as an end time, and photovoltaic power at the next time based on the photovoltaic power at the current time. predicting power; and
Calculating an energy storage charging power to be reached at the next time based on a prediction result, and adjusting, by a power conversion system, the energy storage charging power at the current time to be equal to the energy storage charging power to be reached at the next time contains steps,
Calculate the energy storage charging power to be reached in the next time based on the prediction result, and adjust, by a power conversion system, the energy storage charging power at the current time to be equal to the energy storage charging power to be reached in the next time The steps are,
By the power conversion system, the formula

Adjusting the energy storage charging power at the current time according to
Ppcs(n) is the energy storage charging power at the current time, Ppv(n) is the photovoltaic power at the current time, and Pself is the self-consumption of the grid-connected power generation system with photovoltaic power and energy storage. power, C is the reduction percentage of photovoltaic power in the next time,
In the case where the grid-connected power generation system with the photovoltaic and energy storage is not allowed to obtain electricity from the grid, the formula

is replaced by the formula:

In the case where the grid-connected power generation system with the photovoltaic and energy storage is not allowed to send electricity to the grid, the formula

is replaced by the formula:

k is a preset constant and 0<k<1,
How to adjust energy storage charging power. According to claim 1,
Predicting the photovoltaic power at the next time,
directly predicting the photovoltaic power at the next time; or
predicting a decrease percentage or derivative of photovoltaic power at the next time, and calculating photovoltaic power at the next time based on the decrease percentage or derivative of photovoltaic power at the next time,
How to adjust energy storage charging power. According to claim 1,
The algorithm for predicting the photovoltaic power at the next time is one of a decision tree algorithm, a deep learning algorithm, a neural network algorithm, a random forest algorithm, and a support vector regression algorithm.
How to adjust energy storage charging power. As an energy management system for a grid-connected power generation system with photovoltaic power generation and energy storage,
a data acquisition unit, configured to obtain the photovoltaic power as the photovoltaic power at the current time within a preset time period with the current time as an end time; and
predict photovoltaic power at the next time based on the photovoltaic power at the current time collected from the data acquisition unit, calculate energy storage charging power to be reached at the next time based on the prediction result, and convert power a monitoring unit configured to instruct the system to adjust the energy storage charging power at the current time to be equal to the energy storage charging power to be reached at the next time;
The monitoring unit predicts the photovoltaic power at the next time based on the photovoltaic power at the current time collected from the data acquisition unit, and the power conversion system formulates

configured to instruct to adjust the energy storage charging power at the current time according to
Ppcs(n) is the energy storage charging power at the current time, Ppv(n) is the photovoltaic power at the current time, and Pself is the self-consumption of the grid-connected power generation system with photovoltaic power and energy storage. power, C is the reduction percentage of photovoltaic power in the next time,
When the grid-connected power generation system with photovoltaic and energy storage is not allowed to obtain electricity from the grid, the monitoring unit determines the next photovoltaic power based on the photovoltaic power at the current time collected from the data acquisition unit. predict photovoltaic power at time and instruct the power conversion system to adjust the energy storage charge power Ppcs(n) at the current time according to the formula:

When the grid-connected power generation system with photovoltaic power and energy storage is not allowed to send electricity to the grid, the monitoring unit determines the next photovoltaic power based on the photovoltaic power at the current time collected from the data acquisition unit. predict photovoltaic power at time and instruct the power conversion system to adjust the energy storage charge power Ppcs(n) at the current time according to the formula:

k is a preset constant and 0<k<1,
energy management system. delete delete delete delete delete delete

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