Distributed photovoltaic module adjusting equipment based on photovoltaic power prediction

Abstract

The invention discloses distributed photovoltaic module adjusting equipment based on photovoltaic power prediction. The distributed photovoltaic module adjusting equipment comprises an upper-layer management system and a lower-layer control system, the upper-layer management system comprises a multi-information interaction unit, an output prediction unit, a scheduling optimization unit and a plan issuing unit; the lower-layer control system comprises a plan tracking unit, a real-time correction unit, a real-time adjustment unit, a disturbance recovery unit and a measured data communication unit; according to the method, upper-layer economic optimization scheduling and lower-layer disturbance deviation correction recovery are combined, optimal power generation power prediction is carried out, real-time adjustment is carried out, maximum utilization of photovoltaic module power generation is effectively achieved, and the power supply adjustment capacity of a power system is effectively improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of distributed photovoltaic regulation, and particularly relates to a distributed photovoltaic module regulation device based on photovoltaic power prediction. Background Art

[0002] A microgrid refers to a small power generation and distribution system composed of distributed power sources, energy storage devices, energy conversion devices, related loads, and monitoring and protection devices. It is an autonomous system that can achieve self-control, protection, and management. It can operate in parallel with the external power grid or operate independently, and is an important part of the smart grid.

[0003] Among them, solar photovoltaic power generation in distributed power sources is the most common renewable energy. Connecting a photovoltaic power generation with an appropriate capacity to the grid can reduce the output of traditional generating units such as thermal power generation, and improve the regulation ability of the power system in terms of power supply. Since the photovoltaic power generation changes with the intensity of sunlight within a day, and the power change is random and greatly affected by environmental factors, and the output fluctuation is relatively large. Therefore, in order to maximize the photovoltaic power generation output as much as possible, make the best use of photovoltaic power generation, promote energy consumption, reduce the light curtailment rate, and improve the system regulation ability, it is necessary to perform power prediction in advance and flexibly adjust the photovoltaic power generation modules.

[0004] Therefore, to solve the above problems, it is necessary to develop a distributed photovoltaic module regulation device based on photovoltaic power prediction. Summary of the Invention

[0005] The purpose of the present invention is to overcome the deficiencies of the prior art, and provide a distributed photovoltaic module regulation device based on photovoltaic power prediction. By combining the upper-layer economic optimization scheduling and the lower-layer disturbance correction and recovery, the optimal power generation is predicted and real-time adjustment is performed, effectively realizing the maximum utilization of photovoltaic module power generation and effectively improving the power supply regulation ability of the power system.

[0006] The purpose of the present invention is achieved as follows: A distributed photovoltaic module regulation device based on photovoltaic power prediction includes an upper-layer management system and a plurality of lower-layer control systems communicatively connected to the upper-layer management system; Among them, the upper-layer management system includes a multi-information interaction unit, an output prediction unit, a scheduling optimization unit, and a plan issuing unit. The multi-information interaction unit is used to collect the power generation information of the distribution network and each microgrid. The output prediction unit predicts the output curve of the photovoltaic based on the collected power generation information and the operating environments of multiple microgrids. The scheduling optimization unit is used to perform economic optimization scheduling on all units within its jurisdiction. The plan issuing unit is used to issue the scheduling plan to the lower-layer control systems; Among them, the lower-layer control system includes a plan tracking unit, a real-time deviation correction unit, a real-time adjustment unit, a disturbance recovery unit, and a measured data communication unit; The plan tracking unit is used to track the power generation plan issued by the upper-layer management system, and set a control strategy for the deviation between the issued power plan value and the real-time power through the real-time deviation correction unit to effectively implement the issued planned power value; The real-time adjustment unit adjusts multiple micro-sources in the microgrid based on the control strategy to ensure the realization of the planned power value. The real-time adjustment unit includes adjustment devices arranged at multiple photovoltaic micro-source units in the microgrid; The disturbance recovery unit is used to adjust the output of each micro-source when a power disturbance occurs in the microgrid to quickly restore the microgrid power to the planned power value; The measured data communication unit is used to communicate with the upper-layer management system and transmit the current measured information of the microgrid to the upper-layer management system for the upper-layer management system to perform real-time scheduling.

[0007] Furthermore, the lower-layer control system is adaptively and correspondingly set according to the number of microgrids.

[0008] Furthermore, the power generation information collected by the multi-information interaction unit includes the real-time electricity price information of the distribution network, as well as the wind power generation and photovoltaic power generation prediction information, load prediction information, diesel generator set cost information, real-time status information of distributed power sources and storage batteries, and microgrid topology information.

[0009] Furthermore, the dispatching optimization unit uses a centralized global optimization algorithm to perform economic optimization dispatching on all units within its jurisdiction.

[0010] Furthermore, the adjustment device includes an adjustment controller, an adjustment bracket, and a light intensity sensing component arranged at the photovoltaic module. The adjustment controller is electrically connected to the adjustment bracket and the light intensity sensing component.

[0011] Furthermore, the adjustment bracket includes a fixed base. A rotating tabletop is arranged on the fixed base. An inclined support panel is hinged on one side of the rotating tabletop. A telescopic support member is hingedly connected to the bottom surface of the top of the support panel. The other end of the telescopic support member is fixedly connected to the rotating tabletop. The rotating tabletop, the support panel, and the telescopic support member together form a triangular stable support structure. A solar panel and a light intensity sensing component are arranged on the support panel.

[0012] Due to the adoption of the above technical solution, the beneficial effects of the present invention are as follows: Based on the various power generation information of the distribution network and multiple microgrids collected by the upper management system, an optimization algorithm is used for real-time scheduling. After the scheduling is completed, a power generation plan is formed and sent to the lower control system. The lower control system executes the sent power generation plan, and sets the micro-source control strategy through means such as plan tracking, implementation deviation correction, and disturbance recovery. The real-time adjustment unit flexibly adjusts and controls the adjustment devices arranged at multiple photovoltaic micro-source units in the microgrid to maximize the utilization of the photovoltaic units and ensure the effective realization of the sent planned power value. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 is the principle block Figure 1 .

[0014] Figure 2 is the principle block Figure 2 .

[0015] Figure 3 is a schematic structural diagram of the adjustment device in the real-time adjustment unit of the present invention.

[0016] In the figure: 0, photovoltaic module; 1, adjustment controller; 2, adjustment bracket; 3, light intensity sensing component; 2a, fixed base; 2b, rotating tabletop; 2c, support panel; 2d, telescopic support member. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0017] The technical solution of the present invention will be further specifically described below through embodiments in combination with the drawings.

[0018] As Figure 1 , Figure 2 , Figure 3 shown, a distributed photovoltaic module adjustment device based on photovoltaic power prediction includes an upper management system and a plurality of lower control systems communicatively connected to the upper management system, and the lower control systems are correspondingly arranged in adaptation to the number of microgrids.

[0019] Among them, the upper management system includes a multi-information interaction unit, an output prediction unit, a scheduling optimization unit, and a plan distribution unit.

[0020] Among them, the multi-information interaction unit is used to collect the power generation information of the distribution network and each microgrid. Specifically, the power generation information collected by the multi-information interaction unit includes the real-time electricity price information of the distribution network, the wind turbine and photovoltaic power generation prediction information, the load prediction information, the diesel generator set cost information, the real-time status information of distributed power sources and storage batteries, and the microgrid topology information; the output prediction unit predicts the output curve of the photovoltaic based on the collected power generation information and the operating environments of multiple microgrids; the dispatching optimization unit is used to perform economic optimization dispatching on all the units within its jurisdiction. Preferably, the dispatching optimization unit uses a centralized global optimization algorithm to perform economic optimization dispatching on all the units within its jurisdiction; the plan issuance unit is used to issue the dispatching plan to the lower-level control system.

[0021] Among them, the lower-level control system includes a plan tracking unit, a real-time deviation correction unit, a real-time adjustment unit, a disturbance recovery unit, and a measured data communication unit.

[0022] Among them, the plan tracking unit is used to track the power generation plan issued by the upper-level management system, and set a control strategy through the real-time deviation correction unit for the deviation between the issued power plan value and the real-time power, so as to effectively implement the issued planned power value.

[0023] Among them, the real-time adjustment unit adjusts multiple micro-sources in the microgrid based on the control strategy to ensure the realization of the planned power value. The real-time adjustment unit includes adjustment devices arranged at multiple photovoltaic micro-source units in the microgrid; specifically, the adjustment devices include an adjustment controller, an adjustment bracket, and a light intensity sensing component arranged at the photovoltaic module. The adjustment controller is electrically connected to the adjustment bracket and the light intensity sensing component; preferably, the adjustment bracket includes a fixed base, and a rotating tabletop is arranged on the fixed base. Preferably, the rotating tabletop can specifically adopt existing technologies such as a drive motor assembly to realize driving rotation. An inclined support panel is hinged on one side of the rotating tabletop. A telescopic support member is hinged and connected to the bottom surface of the top of the support panel. Preferably, the telescopic support member can adopt existing technologies such as an electric push rod, a hydraulic cylinder or a cylinder assembly to realize. The other end of the telescopic support member is fixedly connected to the rotating tabletop. The rotating tabletop, the support panel and the telescopic support member jointly form a triangular stable support structure, and the support panel is provided with a photovoltaic module and a light intensity sensing component.

[0024] Among them, the disturbance recovery unit is used to adjust the output of each micro-source when a power disturbance occurs in the microgrid to ensure that the microgrid power quickly recovers to the planned power value; the measured data communication unit is used to communicate with the upper-level management system and transmit the current measured information of the microgrid to the upper-level management system to facilitate the upper-level management system for real-time dispatching.

[0025] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that it is still possible to modify the specific implementation manners of the present invention or make equivalent replacements. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the scope of the claims of the present invention.

Claims

1. A distributed photovoltaic module adjustment device based on photovoltaic power prediction, characterized in that: It includes an upper-layer management system and a plurality of lower-layer control systems communicatively interconnected with the upper-layer management system; Among them, the upper-layer management system includes a multi-information interaction unit, an output prediction unit, a scheduling optimization unit, and a plan distribution unit; The multi-information interaction unit is used to collect the power generation information of the distribution network and each microgrid. The output prediction unit predicts the output curve of the photovoltaic based on the collected power generation information and the operating environments of multiple microgrids. The scheduling optimization unit is used to perform economic optimization scheduling on all units within its jurisdiction. The plan distribution unit is used to distribute the scheduling plan to the lower-layer control systems; Among them, the lower-layer control system includes a plan tracking unit, a real-time deviation correction unit, a real-time adjustment unit, a disturbance recovery unit, and a measured data communication unit; The plan tracking unit is used to track the power generation plan issued by the upper-layer management system, and set a control strategy for the deviation between the issued power plan value and the real-time power through the real-time deviation correction unit to effectively implement the issued planned power value; The real-time adjustment unit adjusts multiple micro-sources within the microgrid based on the control strategy to ensure the realization of the planned power value. The real-time adjustment unit includes adjustment devices arranged at multiple photovoltaic micro-source units within the microgrid; The disturbance recovery unit is used to adjust the output of each micro-source when a power disturbance occurs within the microgrid to ensure that the microgrid power quickly recovers to the planned power value; The measured data communication unit is used to communicate with the upper-layer management system and transmit the current measured information of the microgrid to the upper-layer management system to facilitate the upper-layer management system for real-time scheduling.

2. The distributed photovoltaic module adjustment device based on photovoltaic power prediction according to claim 1, wherein: The lower-layer control system is adaptively and correspondingly set according to the number of microgrids.

3. The distributed photovoltaic module adjustment device based on photovoltaic power prediction according to claim 1, characterized in that: The power generation information collected by the multi-information interaction unit includes the real-time electricity price information of the distribution network, as well as the wind power generation prediction information, the photovoltaic power generation prediction information, the load prediction information, the diesel generator set cost information, the real-time status information of distributed power sources and storage batteries, and the microgrid topology information.

4. The distributed photovoltaic module adjustment device based on photovoltaic power prediction according to claim 1, characterized in that: The scheduling optimization unit uses a centralized global optimization algorithm to perform economic optimization scheduling on all units within its jurisdiction.

5. A distributed photovoltaic module adjustment device based on photovoltaic power prediction according to claim 1, characterized in that: The adjustment device includes an adjustment controller, an adjustment bracket, and a light intensity sensing component arranged at the photovoltaic module. The adjustment controller is electrically connected to the adjustment bracket and the light intensity sensing component.

6. The distributed photovoltaic module regulating device based on photovoltaic power prediction according to claim 5, wherein: The adjustment bracket includes a fixed base. A rotating tabletop is arranged on the fixed base. An inclined support panel is hinged on one side of the rotating tabletop. A telescopic support member is hinged to the bottom surface of the top of the support panel. The other end of the telescopic support member is fixedly connected to the rotating tabletop. The rotating tabletop, the support panel, and the telescopic support member jointly form a triangular stable support structure. The support panel is provided with a photovoltaic module and a light intensity sensing component.

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