Method and system for microgrid control
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Solution Overview
Problem
Microgrid systems face challenges in controlling distributed power generation, energy storage, and load management due to high costs, difficulty in control, and limitations in efficiency and reliability, especially when interacting with large power grids.
Innovation Solution
A microgrid control system integrating an onsite power management system with a cloud-based remote monitoring system, energy-finance analyst, and a microgrid controller that communicates with various components to optimize power supply and perform energy finance analysis, enabling flexible operation modes and efficient energy management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If distributed power generation is implemented to achieve flexible location and decentralization, then adaptability to distributed power demand and resource distribution is improved, but control difficulty increases and system stability deteriorates
Solution Approach 1:
The system segments the distributed power generation network into multiple microgrids, each independently controllable. The microgrid controller divides control functions into hierarchical levels (primary, secondary, tertiary control), making the complex distributed system manageable through modular segmentation of control tasks and geographic zones.
Solution Approach 2:
The microgrid controller acts as an intermediary between distributed power sources and the main power grid. It coordinates power flow, manages energy storage systems, and handles control commands, serving as a mediating layer that simplifies the complexity of direct distributed control while maintaining system stability.
2Loss of energy
If distributed power generation is implemented to reduce pollution and improve energy efficiency, then environmental performance is improved, but reliability of power supply deteriorates due to uncontrollable nature
Solution Approach 1:
Energy storage systems are charged in advance during periods of high renewable generation or low demand, preparing energy reserves before potential supply disruptions. The controller predicts power generation and consumption patterns, performing preliminary energy storage actions to ensure reliability when renewable sources become uncontrollable or unavailable.
Solution Approach 2:
The system dynamically changes operational parameters of distributed power sources based on grid conditions, load demands, and renewable availability. By adjusting parameters such as power output, storage charge/discharge rates, and control modes, the system maintains energy efficiency while adapting to the uncontrollable nature of renewable sources to ensure supply reliability.
3Adaptability or versatility
If microgrid controller is introduced to coordinate distributed power and large power grid, then adaptability and control capability are improved, but device complexity increases
Solution Approach 1:
The microgrid controller is designed with multi-functionality, serving as an intelligent coordinator that performs power flow management, energy storage control, load management, and grid interaction functions. This universal controller consolidates multiple specialized devices into a single integrated system, improving coordination capability while managing complexity through functional integration rather than proliferation of separate components.
4Adaptability or versatility
If single-unit distributed power supply is implemented to achieve flexible location, then adaptability to local demand is improved, but cost increases and control becomes difficult
Solution Approach 1:
The system merges multiple single-unit distributed power sources into a coordinated microgrid network. By combining geographically dispersed units under unified control, the system maintains the flexible location advantage of individual units while achieving economies of scale and simplified control through networked operation, reducing both cost and control difficulty compared to isolated single-unit operation.
Data Source
AI summary
The disclosure is directed at a method and system for microgrid control. The system includes a controller that receives data from project site components and then controls the components based on the received data. The system monitors load demand and generates controls signals to control the power generating components to supply the necessary power to support load demand. The power generating components may include a battery, a solar/wind power generation device or a diesel generator.