CN116307071A - Method for accessing high-proportion photovoltaic into low-voltage power distribution network - Google Patents
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Abstract
The invention relates to the technical field of high-proportion photovoltaic energy storage control, in particular to a method for accessing high-proportion photovoltaic into a low-voltage power distribution network, which comprises the steps of optimally scheduling a low-voltage power distribution network system, dynamically controlling an energy storage system and analyzing the influence of high-proportion distributed photovoltaic and multi-element load access on the low-voltage power distribution network; carrying out coordination optimization on photovoltaic energy storage of a high-proportion distributed photovoltaic access low-voltage distribution network; testing the dynamic control capability of an energy storage system of a high-proportion distributed photovoltaic access low-voltage power distribution network; performing comprehensive control simulation on the operation condition of the high-proportion distributed photovoltaic connected with the low-voltage power distribution network; and (5) connecting the high-proportion distributed photovoltaic into a low-voltage power distribution network. The method for accessing the high-proportion photovoltaic into the low-voltage distribution network can realize the maximum utilization of renewable energy sources of a distribution network system, and achieves peak clipping and valley filling through interaction with a large power grid, thereby achieving the aims of minimum overall operation cost and maximum social comprehensive benefit.
Description
Technical Field
The invention relates to the technical field of high-proportion photovoltaic energy storage control, in particular to a method for accessing high-proportion photovoltaic into a low-voltage distribution network.
Background
With the promotion of the construction of novel power systems mainly using new energy, more and more distributed photovoltaics are connected into a power grid, and the power distribution network in the traditional sense is difficult to adapt to the wide connection and the absorption of large-scale intermittent distributed photovoltaics. Along with the gradual opening of the electric power market, the electric energy transaction in the electric power market is more and more complex, and simultaneously, the source load double-side uncertainty caused by the intermittent new energy power generation of large-scale grid connection and the increasing fluctuating load demand brings great challenges to the optimal scheduling of an electric power system. Complex game relations formed by benefit appeal of different main bodies in the electric power market are comprehensively considered, a reasonable distributed energy storage scheduling strategy is formulated by combining the energy storage characteristics of users, the economic benefit and new energy consumption level of the system are improved, and the cooperation and economic operation of the electric power system under the influence of uncertain factors on the two sides of the source load are realized.
High proportion photovoltaic access can present a series of problems for low voltage distribution networks. The invention provides the application for ensuring the flexible operation mode of the energy storage system and the rapid power response and ensuring the safe, stable and efficient operation of the power distribution network.
Disclosure of Invention
The invention aims to solve the technical problem of providing a high-proportion photovoltaic access low-voltage distribution network method which can realize the maximum utilization of renewable energy sources of a distribution network system, and achieves peak clipping and valley filling through interaction with a large power grid so as to achieve the aims of minimum overall operation cost and maximum social comprehensive benefit.
In order to solve the technical problems, the invention adopts the following technical scheme:
a method for accessing high-proportion photovoltaic into a low-voltage distribution network comprises the following steps of
The method comprises the steps that optimal scheduling is conducted on a low-voltage power distribution network system, a scheduling center is established in the low-voltage power distribution network system, the scheduling center comprises an energy management unit, a communication control unit, a distributed photovoltaic power generation unit, a load unit and an energy storage unit, the energy management unit is used for controlling energy flows among the distributed photovoltaic power generation unit, the load unit and the energy storage unit and among an external power grid, the communication control unit is used for monitoring information flows among the distributed photovoltaic power generation unit, the load unit and the energy storage unit and among the external power grid, a power distribution network optimal scheduling model is established through the energy management unit, the communication control unit, the distributed photovoltaic power generation unit, the load unit and the energy storage unit, and optimal scheduling of the low-voltage power distribution network system is achieved according to a time-of-use power price mechanism response combined with a PMC algorithm;
the energy storage system is dynamically controlled, the energy storage system comprises a plurality of energy storage units and a comprehensive controller, the energy storage system is connected with grid connection through a power electronic converter, the power electronic converter adopts traditional double-loop vector control, an outer loop controls active/reactive power injected into a low-voltage distribution network by the energy storage system, an inner loop controls filtering current, power transmitted by a source side energy storage unit is received and sent to an external power grid end, and reactive power is sent out to adjust the endpoint voltage level of the energy storage system within the adjustment capacity range of the energy storage system;
analyzing the influence of high-proportion distributed photovoltaic and multi-element load access on a low-voltage power distribution network;
carrying out coordination optimization on photovoltaic energy storage of a high-proportion distributed photovoltaic access low-voltage distribution network;
testing the dynamic control capability of an energy storage system of a high-proportion distributed photovoltaic access low-voltage power distribution network;
performing comprehensive control simulation on the operation condition of the high-proportion distributed photovoltaic connected with the low-voltage power distribution network;
and (5) connecting the high-proportion distributed photovoltaic into a low-voltage power distribution network.
Furthermore, the energy management unit can be further used for coordinating an energy storage unit, a distributed photovoltaic power generation unit, a load unit, an energy storage unit and an external power grid unit in the power distribution network, the communication control unit can be further used for monitoring input and output of each unit and decision information in real time, and the decision information comprises power consumption requirement information of the load unit, maximum and minimum power of each distributed photovoltaic power generation unit and energy storage information of the energy storage unit.
Furthermore, the energy storage system is correspondingly designed with a feedback control compensation circuit aiming at the problems of dynamic voltage regulation, harmonic suppression or three-phase imbalance correction in terms of power quality.
Further, the MPC algorithm comprises a prediction model, rolling optimization and feedback correction, wherein the prediction model is established to predict dynamic behaviors for a period of time in the future, the rolling optimization is continuously carried out according to a preset objective function and constraint conditions, an optimal control sequence is solved, current control is implemented, and the feedback correction is carried out through continuous correction of real-time information in each step of rolling optimization, so that the prediction of the dynamic process in the future is realized.
Further, the method for analyzing the influence of high-proportion distributed photovoltaic and multi-element load access on the low-voltage power distribution network comprises the following steps: firstly, building power consumption models of different types of distributed photovoltaics and multiple loads, then analyzing the situation that different photovoltaics permeability and load duty ratio are connected into a low-voltage distribution network, performing peak-to-peak analysis on an original load curve, analyzing network power flow characteristics of high-proportion photovoltaic connection, corresponding node voltage characteristics and network loss rate, determining the voltage deviation degree and system network loss in extreme scenes, judging the requirement of connecting into an energy storage system, simultaneously, based on the most extreme scenes of the distributed photovoltaics on the network power flow and the voltage, improving the optimal power injection nodes of the network characteristics, determining specific configuration sites of the energy storage system, combining the load curve, and determining the energy storage capacity configuration meeting the operation requirement.
Further, the method for carrying out coordinated optimization on the photovoltaic energy storage of the high-proportion distributed photovoltaic access low-voltage distribution network comprises the following steps: and controlling and partitioning the low-voltage distribution network by combining the tide characteristics, respectively establishing cost parameters and economic benefit parameters of the photovoltaic stations and the energy storage stations participating in network tide regulation, determining real-time output parameters meeting the coordination of power supply balance photovoltaic and energy storage based on load and photovoltaic output prediction, considering future load and photovoltaic output changes in a limited time domain on the basis, and optimally adjusting the photovoltaic and energy storage output in a rolling way.
Further, comprehensive control simulation of the high-proportion photovoltaic access low-voltage distribution network is developed based on Matlab, digsilent or ETAP software.
The invention has the beneficial effects that: in actual use, through carrying out optimal scheduling on a low-voltage distribution network system, input and output of each unit and decision information such as power demand information, maximum and minimum power of each device, real-time information of an energy storage system and the like can be monitored in real time, prediction of renewable energy sources and user loads is realized, the auxiliary regulation and control functions of active loads are fully exerted through an optimal scheduling strategy combining time-of-use electricity price mechanism response and a random model predictive control algorithm, the influence caused by uncertainty of renewable energy sources, loads and the like in the scheduling process is reduced to the greatest extent, dynamic control is carried out on the energy storage system, the energy storage system can be used for rapidly regulating and controlling the active and reactive power of the energy storage system, the functions of improving static power flow distribution, dynamic voltage quality, three-phase imbalance and the like of the system can be realized, and the influence of high-proportion distributed photovoltaic and multielement load access on the low-voltage distribution network can be analyzed; then, carrying out coordination optimization on photovoltaic energy storage of the high-proportion distributed photovoltaic access low-voltage distribution network; then testing the dynamic control capability of an energy storage system of the high-proportion distributed photovoltaic access low-voltage distribution network; then, carrying out comprehensive control simulation on the operation condition of the high-proportion distributed photovoltaic connected with the low-voltage distribution network through special software; after the simulation, the high-proportion distributed photovoltaic is connected into the low-voltage distribution network.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a block diagram of a low voltage distribution network system of the present invention for optimal scheduling;
FIG. 3 is a block diagram of the basic architecture of the MPC algorithm of the present invention;
FIG. 4 is a schematic diagram of the dynamic control of the energy storage system of the present invention;
fig. 5 is a basic structural block diagram of experimental simulation of the present invention.
Detailed Description
The invention will be further described with reference to examples and drawings, to which reference is made, but which are not intended to limit the scope of the invention.
As shown in fig. 1-5, the method for accessing high-proportion photovoltaic into low-voltage distribution network provided by the invention comprises the following steps of
The method comprises the steps that optimal scheduling is conducted on a low-voltage power distribution network system, a scheduling center is established in the low-voltage power distribution network system, the scheduling center comprises an energy management unit, a communication control unit, a distributed photovoltaic power generation unit, a load unit and an energy storage unit, the energy management unit is used for controlling energy flows among the distributed photovoltaic power generation unit, the load unit and the energy storage unit and among an external power grid, the communication control unit is used for monitoring information flows among the distributed photovoltaic power generation unit, the load unit and the energy storage unit and among the external power grid, a power distribution network optimal scheduling model is established through the energy management unit, the communication control unit, the distributed photovoltaic power generation unit, the load unit and the energy storage unit, and optimal scheduling of the low-voltage power distribution network system is achieved according to a time-of-use power price mechanism response combined with a PMC algorithm;
the energy storage system is dynamically controlled, the energy storage system comprises a plurality of energy storage units and a comprehensive controller, the energy storage system is connected with grid connection through a power electronic converter, the power electronic converter adopts traditional double-loop vector control, an outer loop controls active/reactive power injected into a low-voltage distribution network by the energy storage system, an inner loop controls filtering current, power transmitted by a source side energy storage unit is received and sent to an external power grid end, and reactive power is sent out to adjust the endpoint voltage level of the energy storage system within the adjustment capacity range of the energy storage system;
analyzing the influence of high-proportion distributed photovoltaic and multi-element load access on a low-voltage power distribution network;
carrying out coordination optimization on photovoltaic energy storage of a high-proportion distributed photovoltaic access low-voltage distribution network;
testing the dynamic control capability of an energy storage system of a high-proportion distributed photovoltaic access low-voltage power distribution network;
performing comprehensive control simulation on the operation condition of the high-proportion distributed photovoltaic connected with the low-voltage power distribution network;
and (5) connecting the high-proportion distributed photovoltaic into a low-voltage power distribution network.
In actual use, through carrying out optimal scheduling on a low-voltage distribution network system, input and output of each unit and decision information such as power demand information, maximum and minimum power of each device, real-time information of an energy storage system and the like can be monitored in real time, prediction of renewable energy sources and user loads is realized, the auxiliary regulation and control functions of active loads are fully exerted through an optimal scheduling strategy combining time-of-use electricity price mechanism response and a random model predictive control algorithm, the influence caused by uncertainty of renewable energy sources, loads and the like in the scheduling process is reduced to the greatest extent, dynamic control is carried out on the energy storage system, the energy storage system can be used for rapidly regulating and controlling the active and reactive power of the energy storage system, the functions of improving static power flow distribution, dynamic voltage quality, three-phase imbalance and the like of the system can be realized, and the influence of high-proportion distributed photovoltaic and multielement load access on the low-voltage distribution network can be analyzed; then, carrying out coordination optimization on photovoltaic energy storage of the high-proportion distributed photovoltaic access low-voltage distribution network; then testing the dynamic control capability of an energy storage system of the high-proportion distributed photovoltaic access low-voltage distribution network; then, carrying out comprehensive control simulation on the operation condition of the high-proportion distributed photovoltaic connected with the low-voltage distribution network through special software; after the simulation, the high-proportion distributed photovoltaic is connected into the low-voltage distribution network.
The method for accessing the high-proportion photovoltaic into the low-voltage distribution network can realize the maximum utilization of renewable energy sources of a distribution network system, and achieves peak clipping and valley filling through interaction with a large power grid, thereby achieving the aims of minimum overall operation cost and maximum social comprehensive benefit.
As shown in fig. 2, in this embodiment, the energy management unit may be further configured to coordinate an energy storage unit, a distributed photovoltaic power generation unit, a load unit, an energy storage unit, and an external power grid unit in the power distribution network, where the communication control unit may be further configured to monitor input and output of each unit and decision information in real time, where the decision information includes power demand information of the load unit, maximum and minimum power of each distributed photovoltaic power generation unit, and energy storage information of the energy storage unit.
In actual use, the prediction of renewable energy sources and user loads can be realized, in the power distribution network joint optimization scheduling considering uncertainty, in order to enable the optimization scheduling result to be more accurate, the model needs to fully utilize the prediction information updated continuously by renewable energy sources such as wind, light and the like, and the rolling optimization strategy based on the MPC can effectively meet the running requirement and economic performance of the system; secondly, the fluctuation of the renewable energy source is mainly represented in an hour time scale, the regulation and control capability of the load response is matched with the corresponding time scale, the internal relevance of each output device on the time scale, such as unit climbing constraint, time period coupling at the demand side and the like, needs to be considered by a multi-energy complementary power distribution network model, so that the scheduling strategy meets the requirement of sequential optimality, and the optimization of the full scheduling period is achieved instead of the single-moment optimization. Considering the randomness of renewable energy sources, the optimal value of the optimization model generally needs to be established on the expected optimal, for example, a scheduling model needs to be compatible with a distributed energy prediction model with any probability distribution. Based on the above reasons, the MPC algorithm can continuously update the optimal control strategy according to the updating of the model input, and can effectively cope with expected objective functions and large-scale sequential constraints.
As shown in fig. 3, in this embodiment, the energy storage system is correspondingly designed with a feedback control compensation circuit for the problems of dynamic voltage regulation, harmonic suppression or three-phase imbalance correction in terms of power quality.
When the system is in actual use, the energy storage can provide a supporting and adjusting function according to the system requirement, on one hand, the photovoltaic coordination and optimization system can be used for adjusting and controlling the system power flow distribution, so that the network loss rate is reduced, the voltage level of the system node is improved, and the corresponding execution link is obtained by the fact that the active and reactive power instructions of the converter are optimally scheduled through an upper layer, and the real-time running state of the detection system is combined with a rolling optimization algorithm.
As shown in fig. 3, in this embodiment, the MPC algorithm includes a prediction model, rolling optimization and feedback correction, the prediction model is built to predict dynamic behavior for a period of time in the future, the rolling optimization is continuously performed according to a preset objective function and constraint conditions, an optimal control sequence is solved and current control is implemented, and the feedback correction is performed by continuously correcting real-time information in each step of the rolling optimization, so as to implement prediction of the dynamic process in the future.
As shown in fig. 1, in this embodiment, the method for analyzing the influence of high-proportion distributed photovoltaic and multi-element load access on a low-voltage power distribution network includes: firstly, building power consumption models of different types of distributed photovoltaics and multiple loads, then analyzing the situation that different photovoltaics permeability and load duty ratio are connected into a low-voltage distribution network, performing peak-to-peak analysis on an original load curve, analyzing network power flow characteristics of high-proportion photovoltaic connection, corresponding node voltage characteristics and network loss rate, determining the voltage deviation degree and system network loss in extreme scenes, judging the requirement of connecting into an energy storage system, simultaneously, based on the most extreme scenes of the distributed photovoltaics on the network power flow and the voltage, improving the optimal power injection nodes of the network characteristics, determining specific configuration sites of the energy storage system, combining the load curve, and determining the energy storage capacity configuration meeting the operation requirement.
As shown in fig. 1, in this embodiment, a method for performing coordinated optimization on photovoltaic energy storage of a high-proportion distributed photovoltaic access low-voltage power distribution network includes: and controlling and partitioning the low-voltage distribution network by combining the tide characteristics, respectively establishing cost parameters and economic benefit parameters of the photovoltaic stations and the energy storage stations participating in network tide regulation, determining real-time output parameters meeting the coordination of power supply balance photovoltaic and energy storage based on load and photovoltaic output prediction, considering future load and photovoltaic output changes in a limited time domain on the basis, and optimally adjusting the photovoltaic and energy storage output in a rolling way.
In this embodiment, as shown in fig. 5, comprehensive control simulation of the high-ratio photovoltaic access low-voltage distribution network is performed based on Matlab, digsilent or ETAP software.
During actual use, a simulation experiment platform is built through Matlab, digsilent or ETAP software, the experiment platform is matched with a plurality of units such as a doubly-fed wind turbine generator simulation experiment platform, a direct-driven wind turbine generator simulation experiment platform, a photovoltaic simulation experiment platform, an energy storage power station simulation experiment platform and a load, the basic functions and structures of wind power, photovoltaic and energy storage power stations in the intelligent micro-grid are completely simulated, and the experiment platform carries out micro-grid system level modeling and a coordinated control method of photovoltaic power generation, energy storage and load units, micro-grid power generation, energy storage and load units, system level stability and reliability and optimization, and operation and protection strategies under different fault types and degrees under micro-grid connection and island operation.
All technical features in the embodiment can be freely combined according to actual needs.
The foregoing embodiments are preferred embodiments of the present invention, and other embodiments are included, without departing from the spirit of the present invention.
Claims (7)
1. A method for accessing high-proportion photovoltaic into a low-voltage power distribution network is characterized by comprising the following steps of: comprising
The method comprises the steps that optimal scheduling is conducted on a low-voltage power distribution network system, a scheduling center is established in the low-voltage power distribution network system, the scheduling center comprises an energy management unit, a communication control unit, a distributed photovoltaic power generation unit, a load unit and an energy storage unit, the energy management unit is used for controlling energy flows among the distributed photovoltaic power generation unit, the load unit and the energy storage unit and among an external power grid, the communication control unit is used for monitoring information flows among the distributed photovoltaic power generation unit, the load unit and the energy storage unit and among the external power grid, a power distribution network optimal scheduling model is established through the energy management unit, the communication control unit, the distributed photovoltaic power generation unit, the load unit and the energy storage unit, and optimal scheduling of the low-voltage power distribution network system is achieved according to a time-of-use power price mechanism response combined with a PMC algorithm;
the energy storage system is dynamically controlled, the energy storage system comprises a plurality of energy storage units and a comprehensive controller, the energy storage system is connected with grid connection through a power electronic converter, the power electronic converter adopts traditional double-loop vector control, an outer loop controls active/reactive power injected into a low-voltage distribution network by the energy storage system, an inner loop controls filtering current, power transmitted by a source side energy storage unit is received and sent to an external power grid end, and reactive power is sent out to adjust the endpoint voltage level of the energy storage system within the adjustment capacity range of the energy storage system;
analyzing the influence of high-proportion distributed photovoltaic and multi-element load access on a low-voltage power distribution network;
carrying out coordination optimization on photovoltaic energy storage of a high-proportion distributed photovoltaic access low-voltage distribution network;
testing the dynamic control capability of an energy storage system of a high-proportion distributed photovoltaic access low-voltage power distribution network;
performing comprehensive control simulation on the operation condition of the high-proportion distributed photovoltaic connected with the low-voltage power distribution network;
and (5) connecting the high-proportion distributed photovoltaic into a low-voltage power distribution network.
2. The method for accessing high-proportion photovoltaic into a low-voltage distribution network according to claim 1, wherein the method comprises the following steps: the energy management unit can be used for coordinating an energy storage unit, a distributed photovoltaic power generation unit, a load unit, an energy storage unit and an external power grid unit in the power distribution network, the communication control unit can be used for monitoring input and output of each unit and decision information in real time, and the decision information comprises power consumption requirement information of the load unit, maximum and minimum power of each distributed photovoltaic power generation unit and energy storage information of the energy storage unit.
3. The method for accessing high-proportion photovoltaic into a low-voltage distribution network according to claim 1, wherein the method comprises the following steps: the energy storage system aims at the problems of dynamic voltage regulation, harmonic suppression or three-phase imbalance correction in terms of electric energy quality, and is correspondingly designed with a feedback control compensation circuit.
4. The method for accessing high-proportion photovoltaic into a low-voltage distribution network according to claim 1, wherein the method comprises the following steps: the MPC algorithm comprises a prediction model, rolling optimization and feedback correction, wherein the prediction model is established to predict dynamic behaviors in a future period of time, the rolling optimization is continuously carried out according to a preset objective function and constraint conditions, an optimal control sequence is solved, current control is implemented, and the feedback correction is carried out in each step of rolling optimization through continuous correction of real-time information, so that the prediction of the future dynamic process is realized.
5. The method for accessing high-proportion photovoltaic into a low-voltage distribution network according to claim 1, wherein the method comprises the following steps: the method for analyzing the influence of high-proportion distributed photovoltaic and multi-element load access on the low-voltage power distribution network comprises the following steps: firstly, building power consumption models of different types of distributed photovoltaics and multiple loads, then analyzing the situation that different photovoltaics permeability and load duty ratio are connected into a low-voltage distribution network, performing peak-to-peak analysis on an original load curve, analyzing network power flow characteristics of high-proportion photovoltaic connection, corresponding node voltage characteristics and network loss rate, determining the voltage deviation degree and system network loss in extreme scenes, judging the requirement of connecting into an energy storage system, simultaneously, based on the most extreme scenes of the distributed photovoltaics on the network power flow and the voltage, improving the optimal power injection nodes of the network characteristics, determining specific configuration sites of the energy storage system, combining the load curve, and determining the energy storage capacity configuration meeting the operation requirement.
6. The method for accessing high-proportion photovoltaic into a low-voltage distribution network according to claim 1, wherein the method comprises the following steps: the method for carrying out coordinated optimization on the photovoltaic energy storage of the high-proportion distributed photovoltaic access low-voltage distribution network comprises the following steps: and controlling and partitioning the low-voltage distribution network by combining the tide characteristics, respectively establishing cost parameters and economic benefit parameters of the photovoltaic stations and the energy storage stations participating in network tide regulation, determining real-time output parameters meeting the coordination of power supply balance photovoltaic and energy storage based on load and photovoltaic output prediction, considering future load and photovoltaic output changes in a limited time domain on the basis, and optimally adjusting the photovoltaic and energy storage output in a rolling way.
7. The method for accessing high-proportion photovoltaic into a low-voltage distribution network according to claim 1, wherein the method comprises the following steps: and developing comprehensive control simulation of the high-proportion photovoltaic access low-voltage distribution network based on Matlab, digsilent or ETAP software.
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