CN-121986427-A - System and method for micro-grid asset scheduling

CN121986427ACN 121986427 ACN121986427 ACN 121986427ACN-121986427-A

Abstract

A method of operating a microgrid system (100) includes obtaining a microgrid schedule input (208) that includes a schedule of desired power generation for the microgrid system (100) over a given period of time, filtering and converting the scheduled schedule input to a power level (608) to meet power requirements for the desired power generation for the scheduled schedule input for the microgrid system (100), receiving a current load level of the microgrid system (100) based on one or more electrical loads (116) electrically coupled to the microgrid system (100), comparing the schedule of desired power generation to actual desired power generation for the microgrid system (100), and scheduling one or more electrical assets in real time to meet a difference between the scheduled desired power generation and the actual desired power generation.

Inventors

S. B. Ruidi
S. CHATTERJEE
R. SINGER
S. Nash
L. R.E. Hyde

Assignees

卡特彼勒公司

Dates

Publication Date: 20260505
Application Date: 20240909
Priority Date: 20231017

Claims (10)

1. A method of operating a micro-grid system (100), comprising: Obtaining a microgrid schedule input (208) comprising a schedule of required electrical energy generation of the microgrid system (100) for a given period of time and a schedule of electrical assets capable of satisfying the schedule of required electrical energy generation; Filtering and converting the scheduling inputs to power levels (608) to meet power requirements for required power generation for scheduling schedule inputs of the microgrid system (100); Receiving a current load level of the microgrid system (100) based on one or more electrical loads (116) electrically coupled to the microgrid system (100); comparing the schedule of required electrical energy generation with an actual required electrical energy generation of the micro grid system (100) to determine a difference between the scheduled required electrical energy generation and the actual required electrical energy generation, and One or more electrical assets are scheduled in real-time to meet a difference between the scheduled desired electrical energy generation and the actual desired electrical energy generation.
2. The method of claim 1, wherein the one or more electrical assets are scheduled in real-time based on constraints that are divided into groups of different priorities.
3. The method of claim 1, wherein the schedule of required electrical energy generation and the schedule of electrical assets capable of satisfying the required electrical energy generation are updated periodically.
4. The method of claim 1, wherein the one or more electrical assets comprise one or more of one or more generator sets (108), one or more energy storage systems, one or more renewable energy resource assets, and a utility grid (104).
5. The method of claim 4, wherein the one or more renewable energy resource assets comprise one or more of a photovoltaic asset and a wind turbine.
6. The method of claim 1, wherein one or more renewable energy resource assets are scheduled based on the predicted cloud cover, the predicted weather, and the predicted wind speed data.
7. The method of claim 1, wherein the scheduling of the one or more electrical assets is based on one or more modes including an economy mode, a minimum emissions mode, and a maximum renewable energy penetration mode.
8. A method of operating a micro-grid system (100), comprising: Receiving a scheduled load signal based on a schedule of electrical load requirements of the microgrid system (100) over a given period of time; Receiving an expected power generation signal based on expected power generation of one or more electrical assets electrically coupled to the micro-grid system (100); Measuring an actual load at a measured time within the given period of time and receiving an actual load signal to determine an actual load on the microgrid system (100); comparing the actual load signal with the scheduled load signal and the expected power generation signal; deriving a differential load signal based on a difference between the schedule load signal, the expected power generation signal, and the actual load signal; one or more electrical assets are scheduled to satisfy the differential load based on the differential load signal.
9. The method of claim 8, wherein a scheduling load is input by a user of the microgrid system (100).
10. The method of claim 8, wherein the expected power generation signal is based on one or more of an expected power generation and utility cost of one or more renewable energy resource assets.

Description

System and method for micro-grid asset scheduling Technical Field The present disclosure relates generally to systems and methods for scheduling electrical assets on a microgrid, and more particularly, to systems and methods for flexibly scheduling electrical assets in real-time. Background Managing a hybrid power system on a microgrid may be a complex task, but it may be beneficial to optimize microgrid performance and may bring practical benefits such as cost reduction, emissions reduction, and reliability improvement. Hybrid power systems combine multiple power generation and storage modes, which may include solar panels, wind turbines, batteries, and traditional grid connections. Due to the diversity of technologies and their interactions, coordinating these various assets to operate efficiently can be challenging. Rule-based algorithms may be simple to implement, but may not take into account all possible scenarios, especially in high-complexity level hybrid systems. These methods may require predefined rules and may miss edge cases, resulting in sub-optimal performance. At the same time, optimization techniques (e.g., linear programming, mixed integer programming, etc.) can find the optimal solution to the complex problem. However, as the complexity of hybrid power systems increases, the computational requirements may become too high to withstand. Furthermore, conventional optimizations may not take into account type-specific aspects of the power asset, such as maintenance, degradation, or replacement. U.S. patent No. 10,734,811 ("the' 811 patent") describes a method and system for optimizing control of one or more energy storage systems ("ESS"). According to the' 811 patent, a system may include a data source, a prediction engine, a scheduling and scheduling engine, an ESS control system, and an optimization block. The scheduling and scheduling engine determines a scheduling schedule for the ESS based on an optimization method. The ESS control system may determine the active and reactive power input to or extracted from the grid or micro-grid based on the scheduling schedule received from the scheduling and scheduling engine. The system may use various algorithms, such as a rule scheduler. However, the' 811 patent does not take into account various types of specific aspects of the power assets, and, in addition, does not address the issue of computational complexity as the number of power assets increases. The disclosed systems and methods for flexibly scheduling electrical assets in real-time may solve one or more problems in the prior art, such as the problems not addressed by the' 811 patent. However, the scope of the present disclosure is defined by the appended claims rather than by the ability to solve any particular problem. Disclosure of Invention In one aspect, a method of operating a microgrid system includes obtaining a microgrid schedule input comprising a schedule of desired power generation of the microgrid system over a given period of time and a schedule of electrical assets capable of satisfying the schedule of desired power generation, filtering and converting the schedule input to a power level to satisfy a power demand for the desired power generation of the schedule input of the microgrid system, receiving a current load level of the microgrid system based on one or more electrical loads electrically coupled to the microgrid system, comparing the schedule of desired power generation with an actual desired power generation of the microgrid system to determine a difference between the schedule of desired power generation and the actual desired power generation, and scheduling one or more electrical assets in real time to satisfy the difference between the schedule of desired power generation and the actual desired power generation. In another aspect, a method of operating a microgrid system includes receiving a schedule load signal based on a schedule of electrical load requirements of the microgrid system over a given period of time, receiving an expected power generation signal based on expected power generation of one or more electrical assets electrically coupled to the microgrid system, measuring an actual load over the given period of time and receiving an actual load signal to determine an actual load on the microgrid system, comparing the actual load signal to the schedule load signal and the expected power generation signal, deriving a differential load signal based on a difference between the schedule load signal, the expected power generation signal, and the actual load signal, and scheduling one or more electrical assets to satisfy the differential load based on the differential load signal. In yet another aspect, a controller for a microgrid system includes at least one memory storing instructions, at least one processor operatively connected to the memory and configured to execute the instructions to receive a schedule load signal based on a schedule of electrical loa