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CN-122026484-A - Energy discarding processing method and system for off-grid power station

CN122026484ACN 122026484 ACN122026484 ACN 122026484ACN-122026484-A

Abstract

The embodiment of the invention provides an energy discarding method and system for an off-grid power station, and relates to the technical field of power grid energy discarding technology. The method comprises the steps of obtaining real-time state data in an off-grid power station, determining an energy abandoning event and target energy abandoning power corresponding to the energy abandoning event based on the state data under the condition that the state data meets preset energy abandoning identification conditions, responding to the energy abandoning event, obtaining real-time operation parameters of a plurality of available energy abandoning and consuming paths in the off-grid power station, constructing an energy abandoning and distributing optimization model based on the target energy abandoning power and the real-time operation parameters, solving the energy abandoning and distributing optimization model to generate an optimal power distributing instruction, and controlling the available energy abandoning and consuming paths to consume the target energy abandoning power according to the optimal power distributing instruction. The invention solves the problem of low energy discarding precision, thereby achieving the effect of improving the energy discarding precision.

Inventors

  • ZHOU LIN
  • WEI LANXIANG
  • ZHOU GUANYU
  • WANG YONGFENG
  • ZHANG QIONG
  • LI LINQIANG
  • Peng Lianlian
  • XIA YUEYI
  • FAN XINGMING
  • DU YANHUI

Assignees

  • 润建股份有限公司

Dates

Publication Date
20260512
Application Date
20260126

Claims (10)

  1. 1. The energy discarding treatment method of the off-grid power station is characterized by comprising the following steps of: acquiring real-time state data in the off-grid power station, wherein the state data comprise total output power of a power generation unit, total consumption power of a load unit and operation state data of an energy storage unit; Under the condition that the state data meets a preset energy abandoning identification condition, determining an energy abandoning event and a target energy abandoning power corresponding to the energy abandoning event based on the state data; Responding to the energy discarding event, and acquiring real-time operation parameters of a plurality of available energy discarding and consuming paths in the off-grid power station, wherein the real-time operation parameters of each path comprise maximum allowable power, energy conversion efficiency and operation cost factors; Based on the target energy abandoning power and the real-time operation parameters, constructing an energy abandoning distribution optimization model, and solving the energy abandoning distribution optimization model to generate an optimal power distribution instruction, wherein the optimal power distribution instruction is used for distributing the target energy abandoning power to the available energy abandoning consumption path; And controlling the energy discarding and dissipating path to dissipate the target energy discarding power according to the optimal power distribution instruction.
  2. 2. The method of claim 1, wherein determining a waste-energy event and a target waste-energy power corresponding to the waste-energy event based on the state data if the state data satisfies a preset waste-energy identification condition comprises: Determining a current maximum chargeable power of the energy storage unit based on the operational state data of the energy storage unit; calculating a power balance difference based on the total output power of the power generation unit and the total consumption power of the load unit; and when the power balance difference is larger than the current maximum chargeable power, triggering the energy discarding identification condition, and determining the difference value between the power balance difference and the current maximum chargeable power as the target energy discarding power.
  3. 3. The method of claim 1, wherein constructing a power rejection allocation optimization model based on the target power rejection and the real-time operating parameters and solving the power rejection allocation optimization model to generate the optimal power allocation instructions comprises: obtaining a consumption utility value of unit power corresponding to each available waste energy consumption path, wherein the consumption utility value is generated based on the energy conversion efficiency and the running cost factor of the available waste energy consumption paths; Constructing an objective function based on the power of all the available energy-rejecting paths and the digestion utility value corresponding to the available energy-rejecting paths; And solving the objective function according to a preset constraint condition to obtain the optimal power allocation instruction, wherein the optimal power allocation instruction comprises a specific power value allocated to each of the available energy-saving paths, the constraint condition is that the sum of the powers allocated to all the available energy-saving paths is equal to the target energy-saving power, and the power allocated to each of the available energy-saving paths is not greater than the corresponding maximum energy-saving power.
  4. 4. A method according to claim 3, wherein said solving said objective function comprises: Initializing the power distributed to all the available waste energy dissipation paths to be zero; And under the condition that the power to be distributed is larger than zero, circularly executing the following operations of selecting a first path with the maximum consumption utility value from all available waste energy consumption paths which do not reach the maximum consumption power, distributing a preset power increment to the first path, and simultaneously updating the power to be distributed.
  5. 5. The method of claim 1, wherein after said controlling the available waste-to-energy cancellation path to cancel the target waste-to-energy power in accordance with the optimal power allocation instruction, the method further comprises: Monitoring the actual power consumed by each available energy-discarding consumed path in real time; Calculating the deviation of the actual power to be consumed and the corresponding power in the optimal power allocation instruction; And when the deviation exceeds a preset deviation threshold value in a plurality of continuous time periods, updating the real-time operation parameters of the usable waste energy consumption paths corresponding to the deviation.
  6. 6. The method of claim 5, wherein the updating the real-time operating parameters of the available waste-to-energy consumption paths corresponding to the deviations comprises: And correcting the energy conversion efficiency of the available waste energy absorption path by adopting a preset attenuation factor based on the deviation so as to generate corrected energy conversion efficiency.
  7. 7. The method of claim 1, wherein after said controlling the available waste-to-energy cancellation path to cancel the target waste-to-energy power in accordance with the optimal power allocation instruction, the method further comprises: Recording the total output power of the power generation unit, the total consumption power of the load unit, the running state data of the energy storage unit, the real-time running parameters of the available energy-discarding and energy-consuming paths and the optimal power allocation instruction during the energy-discarding event to form an energy-discarding processing event log; when the energy rejection rate of the off-grid power station is higher than an alarm threshold value within a preset period, the energy rejection processing event log is called; and performing backtracking analysis on the data in the abandoned energy processing event log to locate the reason of the abnormal abandoned energy rate.
  8. 8. An off-grid power station waste energy treatment system, comprising: the data acquisition module is used for acquiring real-time state data in the off-grid power station, wherein the state data comprise the total output power of the power generation unit, the total consumption power of the load unit and the running state data of the energy storage unit; the energy abandoning identification module is used for determining an energy abandoning event and a target energy abandoning power corresponding to the energy abandoning event based on the state data under the condition that the state data meets a preset energy abandoning identification condition; The path evaluation module is used for responding to the energy abandoning event and acquiring real-time operation parameters of a plurality of available energy abandoning and consuming paths in the off-grid power station, wherein the real-time operation parameters of each path comprise maximum allowable power, energy conversion efficiency and operation cost factors; The allocation decision module is used for constructing an energy abandoning allocation optimization model based on the target energy abandoning power and the real-time operation parameters, and solving the energy abandoning allocation optimization model to generate an optimal power allocation instruction, wherein the optimal power allocation instruction is used for allocating the target energy abandoning power to the available energy abandoning path; and the execution control module is used for controlling the available energy discarding and dissipating path to dissipate the target energy discarding power according to the optimal power distribution instruction.
  9. 9. A computer readable storage medium, characterized in that the computer readable storage medium has stored therein a computer program, wherein the computer program is arranged to execute the method of any of the claims 1 to 7 when run.
  10. 10. An electronic device comprising a memory and a processor, characterized in that the memory has stored therein a computer program, the processor being arranged to run the computer program to perform the method of any of the claims 1 to 7.

Description

Energy discarding processing method and system for off-grid power station Technical Field The embodiment of the invention relates to the technical field of power grid energy discarding, in particular to an energy discarding processing method and system of an off-grid power station. Background With the rapid development of renewable energy technology, off-grid power stations using photovoltaic and wind power as main power sources have been widely used in remote areas, islands and other scenes. However, due to the significant intermittence and volatility of the generated power of photovoltaic and wind power, when the generated power is far above the local load demand for some period of time and the energy storage system is approaching saturation, a large amount of excess electrical energy is generated. This portion of the electrical energy that cannot be consumed or stored locally is referred to as "waste energy". In the existing off-grid power station operation management scheme, the energy discarding treatment mode is rough and single. Most systems use direct removal of parts of the generator set or dissipation of excess electrical energy in the form of thermal energy through an unloading resistor, which is essentially a direct waste of energy. Although some systems are configured with controllable loads, the systems lack effective monitoring and cooperative control mechanisms, and cannot perform accurate and dynamic energy scheduling according to real-time energy discarding scale and power station operation states. Therefore, the prior art generally has the technical problems of inaccurate energy abandonment monitoring, single treatment mode, low energy conversion and utilization efficiency, poor system flexibility and the like, so that precious renewable energy is wasted greatly, and the overall economy and energy efficiency of off-grid power stations are reduced. How to effectively monitor, accurately evaluate and optimize and distribute the abandoned energy of the off-grid power station, realize the efficient recovery and reasonable utilization of the abandoned energy, and is a technical problem to be solved urgently in the technical field of the off-grid power station at present. Disclosure of Invention The embodiment of the invention provides a method and a system for processing abandoned energy of an off-grid power station, which are used for at least solving the problem of abandoned energy processing precision in the related technology. According to an embodiment of the present invention, there is provided an energy discarding method for an off-grid power station, including: acquiring real-time state data in the off-grid power station, wherein the state data comprise total output power of a power generation unit, total consumption power of a load unit and operation state data of an energy storage unit; Under the condition that the state data meets a preset energy abandoning identification condition, determining an energy abandoning event and a target energy abandoning power corresponding to the energy abandoning event based on the state data; Responding to the energy discarding event, and acquiring real-time operation parameters of a plurality of available energy discarding and consuming paths in the off-grid power station, wherein the real-time operation parameters of each path comprise maximum allowable power, energy conversion efficiency and operation cost factors; Based on the target energy abandoning power and the real-time operation parameters, constructing an energy abandoning distribution optimization model, and solving the energy abandoning distribution optimization model to generate an optimal power distribution instruction, wherein the optimal power distribution instruction is used for distributing the target energy abandoning power to the available energy abandoning consumption path; And controlling the energy discarding and dissipating path to dissipate the target energy discarding power according to the optimal power distribution instruction. In an exemplary embodiment, the determining, based on the state data, a discarding energy event and a target discarding energy corresponding to the discarding energy event when the state data satisfies a preset discarding energy identification condition includes: Determining a current maximum chargeable power of the energy storage unit based on the operational state data of the energy storage unit; calculating a power balance difference based on the total output power of the power generation unit and the total consumption power of the load unit; and when the power balance difference is larger than the current maximum chargeable power, triggering the energy discarding identification condition, and determining the difference value between the power balance difference and the current maximum chargeable power as the target energy discarding power. In an exemplary embodiment, the constructing a power rejection allocation optimization model based on the