Disclosure of Invention
In view of this, the invention provides an energy storage and charging power regulation method and an energy management system for a light storage grid-connected power generation system, so as to achieve that the positive and negative values of the switching power of a grid-connected point always meet the requirements.
An energy storage and charging power regulation and control method for an optical storage grid-connected power generation system comprises the following steps:
acquiring photovoltaic power generation power within a preset time period taking the current moment as a cut-off moment, and predicting the photovoltaic power generation power at the next moment according to the photovoltaic power generation power;
and calculating the energy storage charging power to be reached at the next moment according to the prediction result, and adjusting the energy storage charging power at the current moment to be equal to the energy storage charging power to be reached at the next moment by the energy storage converter.
Optionally, the predicting the photovoltaic power generation power at the next time includes: directly predicting the photovoltaic power generation power at the next moment; or predicting the derivative or the percentage of the descending amplitude of the photovoltaic power generation power at the next moment, and calculating the photovoltaic power generation power at the next moment according to the derivative or the percentage of the descending amplitude.
Optionally, the calculating, according to the prediction result, the energy storage charging power to be reached at the next moment, and the adjusting, by the energy storage converter, the energy storage charging power at the current moment to be equal to the energy storage charging power to be reached at the next moment includes:
the energy storage converter adjusts the energy storage charging power Ppcs (n) at the current moment according to a formula Ppcs (n) ═ Ppv (n) ((1-C)) -Pself; wherein, ppv (n) is the photovoltaic power generation power at the current moment, Pself is the self-consuming power of the optical storage grid-connected power generation system, and C is the reduction amplitude percentage of the photovoltaic power generation power at the next moment.
Optionally, in a case that the grid-connected light storage power generation system is not allowed to take power from the power grid, the formula ppcs (n) ═ ppv (n) × (1-C) -Pself is replaced with:
wherein k is a predetermined constant, and 0 < k < 1.
Alternatively, optionally, in a case where the optical storage grid-connected power generation system is not allowed to transmit power to the power grid, the formula ppcs (n) ═ ppv (n) × (1-C) -Pself is replaced with:
wherein k is a predetermined constant, and 0 < k < 1.
Optionally, the power prediction algorithm used in predicting the photovoltaic power generation power at the next moment is a decision tree algorithm, a deep learning algorithm, a neural network algorithm, a random forest algorithm or a support vector regression algorithm.
An energy management system of a light storage grid-connected power generation system comprises:
the data acquisition unit is used for acquiring photovoltaic power generation power within a preset time length taking the current time as a cut-off time;
and the monitoring unit is used for predicting the photovoltaic power generation power at the next moment according to the data acquired by the data acquisition unit, calculating the energy storage charging power to be reached at the next moment according to the prediction result, and indicating the energy storage converter to adjust the energy storage charging power at the current moment to be equal to the energy storage charging power to be reached at the next moment.
Optionally, the monitoring unit is specifically configured to predict the photovoltaic power generation power at the next time according to the data acquired by the data acquisition unit, and instruct the energy storage converter to adjust the energy storage charging power ppcs (n) at the current time according to a formula ppcs (n) ═ ppv (n) × (1-C) -Pself;
wherein, ppv (n) is the photovoltaic power generation power at the current moment, Pself is the self-consuming power of the optical storage grid-connected power generation system, and C is the reduction amplitude percentage of the photovoltaic power generation power at the next moment.
Optionally, under the condition that the grid-connected photovoltaic power generation system is not allowed to obtain power from the power grid, the monitoring unit is specifically configured to predict the photovoltaic power generation power at the next time according to the data acquired by the data acquisition unit, and instruct the energy storage converter to adjust the energy storage charging power ppcs (n) at the current time according to the following formula:
wherein k is a predetermined constant, and 0 < k < 1.
Or, optionally, under the condition that the grid-connected light storage power generation system is not allowed to transmit power to the power grid, the monitoring unit is specifically configured to predict the photovoltaic power generation power at the next time according to the data acquired by the data acquisition unit, and instruct the energy storage converter to adjust the energy storage charging power ppcs (n) at the current time according to the following formula:
wherein k is a predetermined constant, and 0 < k < 1.
According to the technical scheme, the photovoltaic power generation power at the next moment is predicted, the energy storage charging power of the energy storage converter is adjusted one moment in advance, so that enough reaction time is reserved for the energy storage converter, and the condition that the positive value and the negative value of the grid-connected point exchange power do not meet the requirements is avoided.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 2, an embodiment of the present invention discloses a method for regulating and controlling energy storage charging power of an optical storage grid-connected power generation system, including:
step S01: and acquiring the photovoltaic power generation power within a preset time period taking the current moment as a cut-off moment, and predicting the photovoltaic power generation power at the next moment according to the photovoltaic power generation power.
Specifically, the photovoltaic power generation power is also the output power of the photovoltaic inverter. The photovoltaic power generation power at the next moment can be predicted according to the photovoltaic power generation power within the preset duration taking the current moment as the cut-off moment, and the power prediction algorithm can adopt a decision tree algorithm, a deep learning algorithm, a neural network algorithm, a random forest algorithm, a support vector regression algorithm or the like. The longer the preset time is set, the higher the power prediction accuracy is, but the calculated amount and the storage amount are also increased correspondingly, and values are taken after compromise consideration is needed in practical application, for example, the preset time may be set to 24 hours, and at this time, "the photovoltaic power generation power within the preset time with the current time as the ending time" is the photovoltaic power generation power within the latest 24 hours. The time resolution adopted by the power prediction algorithm may be, but is not limited to, minute or second, and the time resolution refers to the interval between the current time (denoted as time n) and the next time (denoted as time n + 1).
Predicting the photovoltaic power generation power at the next moment, which can be directly predicting the photovoltaic power generation power at the next moment; or predicting the derivative or the percentage of the reduction amplitude of the photovoltaic power generation power at the next moment, and calculating the photovoltaic power generation power at the next moment according to the derivative or the percentage of the reduction amplitude. When the photovoltaic power generation power at the next time is defined as Ppv (n +1), the derivative of the photovoltaic power generation power at the next time is dPpv (n +1)/dt (n +1), a positive value of dPpv (n +1)/dt (n +1) indicates an increase in the photovoltaic power generation power at the next time, and a negative value of dPp (v + n1)/(d + t)1n indicates a decrease in the photovoltaic power generation power at the next time. And defining the percentage of the reduction amplitude of the photovoltaic power generation power at the next moment as C, wherein C is more than or equal to-100% and less than or equal to 100%, when the percentage C of the reduction amplitude of the photovoltaic power generation power is a positive value, the reduction of the photovoltaic power generation power at the next moment is indicated, and when the percentage C of the reduction amplitude of the photovoltaic power generation power is a negative value, the increase of the photovoltaic power generation power at the next moment is indicated.
Step S02: and calculating the energy storage charging power to be reached at the next moment according to the prediction result.
Specifically, the stored energy charging power to be reached at the next time is defined as Ppcs (n +1), and then
Ppcs (n +1) ═ Ppv (n +1) -Pself ═ Ppv (n) (1-C) -Pself of formula (1)
The method comprises the following steps that Pself is the self-consumption power of the light storage grid-connected power generation system, the dynamic change amplitude of the self-consumption power of the light storage grid-connected power generation system is very small and can be ignored, and the self-consumption power of the light storage grid-connected power generation system is generally regarded as a fixed value; and Ppv (n) is the photovoltaic power generation power at the current moment.
Step S03: the PCS adjusts the energy storage charging power at the current moment to be equal to the energy storage charging power to be reached at the next moment.
Specifically, the energy storage charging power at the current time is defined as Ppcs (n), and when the energy storage charging power Ppcs (n +1) to be reached at the next time is predicted according to the formula (1), the PCS adjusts the energy storage charging power Ppcs (n) at the current time to be equal to the energy storage charging power Ppcs (n +1) to be reached at the next time, which is equivalent to that the PCS adjusts the energy storage charging power at the current time according to the following formula:
ppcs (n) ═ ppv (n) (1-C) -Pself of formula (2)
In the time period of storing the energy of the photovoltaic cell panel into the energy storage battery, the PCS needs to track the photovoltaic power generation power in real time to adjust the charging power of the energy storage battery in time, so that the positive value and the negative value of the grid-connected point exchange power always meet the requirements, some grid-connected point exchange power cannot be a positive value (namely, the light storage grid-connected power generation system is not allowed to take power from the power grid), and some grid-connected point exchange power cannot be a negative value (namely, the light storage grid-connected power generation system is not allowed to transmit power to the power grid). However, since the PCS makes a certain delay in power adjustment, and the stored energy charging power cannot be changed in time when the next time arrives within the delay time, when the PCS makes a power adjustment again when the next time arrives, the point-of-connection switching power Ppcc (n +1) cannot be changed into Ppv (n +1) -Ppcs (n +1) -Pself in time, but is equal to Ppv (n +1) -Ppcs (n) -Pself, and at this time, a situation that the positive and negative values of the point-of-connection switching power do not meet corresponding requirements may occur. In contrast, in the embodiment of the invention, the energy storage charging power is adjusted by the PCS one moment in advance by predicting the photovoltaic power generation power at the next moment, so that enough reaction time is reserved for the PCS, and the condition that the positive and negative values of the switching power of the grid-connected point do not meet corresponding requirements is avoided.
In addition, considering that the photovoltaic power generation power is predicted in real time, the calculation amount is large, so that the embodiment of the invention allows power adjustment to be directly carried out according to the current photovoltaic power generation power under specific conditions on the premise of ensuring that the positive value and the negative value of the switching power of the grid-connected point always meet the requirements, thereby reducing the calculation amount. That is, the following expression (3) is executed under a specific condition, and the above expression (2) is executed for the remaining time.
Ppcs (n) ═ ppv (n) × k-Pself of formula (3)
In the formula, k is referred to as percentage margin and is a preset constant in the range of 0 < k < 1, for example, k is set to 95%, that is, 5% margin is left to cope with the situation of the reduction of the photovoltaic power generation.
The formula (2) is to adjust the energy storage charging power at the current moment according to the photovoltaic power generation power at the next moment, and the formula (3) is to adjust the energy storage charging power at the current moment according to the photovoltaic power generation power at the current moment under the condition of setting percentage margin. If the PCS simply adjusts the power according to the formula (2), the calculated amount involved in the photovoltaic power generation power prediction of the system is large; if the PCS simply adjusts the power according to equation (3), policy requirements sometimes cannot be met, so the embodiment of the present invention makes a compromise, where equation (3) is executed under specific conditions, and equation (2) is executed in the rest of the time, and the execution time period occupied by each of equations (2) and (3) depends on the specific requirement for the power exchange of the point-of-connection. The specific description is as follows:
firstly, when the switching power of the grid-connected point cannot be a positive value, the PCS adjusts the energy storage charging power Ppcs (n) at the current moment according to the following formula:
as shown in fig. 3, the method for regulating and controlling the energy storage and charging power of the optical storage grid-connected power generation system corresponding to the formula (4) includes:
step S11: acquiring photovoltaic power generation power within a preset time period taking the current moment as a cut-off moment, and predicting the photovoltaic power generation power at the next moment according to the photovoltaic power generation power;
step S12: and adjusting the energy storage charging power at the current moment according to the PCS and the formula (4).
The derivation process of equation (4) is as follows:
if the PCS simply performs power adjustment according to equation (3), when the percentage C of the decrease amplitude of the photovoltaic power generation power exceeds the percentage margin 1-k, the switching power of the grid-connected point is a positive value, which is illustrated as follows:
for a certain 1MW/3MWh grade optical storage grid-connected power generation system, the self power consumption Pself is 10kW, the percentage margin k is set to 95%, and the photovoltaic power generation power Ppv (n) at the moment n is 800kW, the energy storage charging power Ppcs (n) at the moment n is 800kW 95% -10kW 750, and the photovoltaic power generation power reduction percentage C at the moment n +1 is 5%, but since PCS cannot respond immediately, the energy storage charging power Ppcs (n +1) at the moment n +1 is still 750kW, and the grid-connected point exchange power at the moment n +1 is 800kW (1-5%) -750kW-10kW, so that the requirement is met; if the photovoltaic power generation power reduction range percentage C at the moment of n +1 is less than 5%, the grid-connected point exchange power is a negative value and also meets the requirement; if the reduction range percentage C of the photovoltaic power generation power at the moment of n +1 is more than 5%, the switching power of the grid-connected point is a positive value and does not meet the requirement. Therefore, for this example, it is necessary to execute equation (2) when C > 5%, and to execute equation (3) when C ≦ 5%, satisfying equation (4).
Secondly, under the condition that the switching power of the grid-connected point cannot be a negative value, the PCS adjusts the energy storage charging power Ppcs (n) at the current moment according to the following formula:
as shown in fig. 4, the method for regulating and controlling the energy storage and charging power of the optical storage grid-connected power generation system corresponding to the formula (5) includes:
step S21: acquiring photovoltaic power generation power within a preset time period taking the current moment as a cut-off moment, and predicting the photovoltaic power generation power at the next moment according to the photovoltaic power generation power;
step S22: and adjusting the energy storage charging power at the current moment according to the PCS and the formula (5).
The derivation of equation (5) is as follows:
if the PCS simply performs power adjustment according to equation (3), when the percentage C of the decrease amplitude of the photovoltaic power generation power is smaller than the percentage margin 1-k, the grid-connected point exchange power is a negative value, which is illustrated as follows:
for a certain 1MW/3MWh grade optical storage grid-connected power generation system, the self power consumption Pself is 10kW, the percentage margin k is set to 95%, and the photovoltaic power generation power Ppv (n) at the moment n is 800kW, the energy storage charging power Ppcs (n) at the moment n is 800kW 95% -10kW 750, and the photovoltaic power generation power reduction percentage C at the moment n +1 is 5%, but since PCS cannot respond immediately, the energy storage charging power Ppcs (n +1) at the moment n +1 is still 750kW, and the grid-connected point exchange power at the moment n +1 is 800kW (1-5%) -750kW-10kW, so that the requirement is met; if the reduction range percentage C of the photovoltaic power generation power at the moment of n +1 is less than 5%, the switching power of the grid-connected point is a negative value and does not meet the requirement; if the percentage C of the reduction range of the photovoltaic power generation power at the moment of n +1 is more than 5%, the switching power of the grid-connected point is a positive value, and the requirement is met. Therefore, for this example, it is necessary to execute equation (3) when C.gtoreq.5%, and execute equation (2) when C < 5%, satisfying equation (5).
Corresponding to the above method embodiment, the embodiment of the present invention further discloses an energy management system of an optical storage grid-connected power generation system, and as shown in fig. 3, the energy management system includes:
the data acquisition unit 100 is configured to acquire photovoltaic power generation power within a preset time period taking a current time as a cut-off time;
and the monitoring unit 200 is configured to predict the photovoltaic power generation power at the next moment according to the data acquired by the data acquisition unit 100, calculate the energy storage charging power to be reached at the next moment according to the prediction result, and instruct the energy storage converter to adjust the energy storage charging power at the current moment to be equal to the energy storage charging power to be reached at the next moment.
Optionally, the monitoring unit 200 is specifically configured to predict the photovoltaic power generation power at the next time according to the data acquired by the data acquisition unit, and instruct the energy storage converter to adjust the energy storage charging power ppcs (n) at the current time according to a formula ppcs (n) ═ ppv (n) × (1-C) -Pself;
wherein, ppv (n) is the photovoltaic power generation power at the current moment, Pself is the self-consuming power of the optical storage grid-connected power generation system, and C is the reduction amplitude percentage of the photovoltaic power generation power at the next moment.
Optionally, under the condition that the grid-connected photovoltaic power generation system is not allowed to obtain power from the power grid, the monitoring unit 200 is specifically configured to predict the photovoltaic power generation power at the next time according to the data acquired by the data acquisition unit, and instruct the energy storage converter to adjust the energy storage charging power ppcs (n) at the current time according to the following formula:
wherein k is a predetermined constant, and 0 < k < 1.
Optionally, under the condition that the grid-connected light storage power generation system is not allowed to transmit power to the power grid, the monitoring unit 200 is specifically configured to predict the photovoltaic power generation power at the next time according to the data acquired by the data acquisition unit, and instruct the energy storage converter to adjust the energy storage charging power ppcs (n) at the current time according to the following formula:
wherein k is a predetermined constant, and 0 < k < 1.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description.