Microgrid Energy Storage Dispatching for Fast Local Load Response
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Solution Overview
Problem
Conventional energy dispatching systems for microgrid systems struggle with timely responses to local load changes due to the high volatility of local loads, resulting in low response efficiency and reduced dispatching efficiency.
Innovation Solution
The proposed energy storage dispatching method involves adjusting the energy storage power value in real-time based on the operation state information of the grid-connected microgrid, including current load power, to improve response speed and dispatching efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If cloud dispatching layer sends dispatching instructions based on comprehensive predictions, then dispatching strategy is optimized, but response time to local load changes increases
Solution Approach 1:
The dispatching system is divided into two independent layers: cloud dispatching layer for strategic decision-making and local dispatching layer for real-time execution. The cloud layer handles comprehensive predictions and sends target state of charge instructions, while the local layer independently adjusts energy storage power based on real-time load conditions, eliminating the time delay caused by centralized cloud processing for every load change.
Solution Approach 2:
The local dispatching layer acts as an intermediary between the cloud dispatching instructions and the energy storage device. It receives target state of charge instructions from the cloud and autonomously determines the actual energy storage power by combining these instructions with real-time local load conditions, serving as a bridge that enables fast local response while maintaining alignment with cloud-level dispatching strategy.
2Stability of the object's composition
If cloud dispatching executes strategy with fixed interval, then system stability is maintained, but adaptability to load volatility decreases
Solution Approach 1:
Different parts of the system are assigned different functional qualities: the cloud dispatching layer focuses on strategic planning and stability through comprehensive predictions, while the local dispatching layer specializes in real-time adaptation to load volatility. This division allows each layer to optimize for its specific function without compromising the other.
Solution Approach 2:
The local dispatching layer dynamically adjusts energy storage power based on real-time load conditions while the cloud layer maintains stable strategic instructions. The system transitions from a static, fixed-interval cloud-only approach to a dynamic two-layer system where the local layer can respond immediately to load changes while the cloud layer provides stable overarching guidance.
3Speed
If energy storage power is adjusted based on real-time load information, then response speed improves, but system complexity increases
Solution Approach 1:
The system segments complex decision-making into two parts: the cloud layer handles comprehensive strategic calculations, and the local layer handles simple real-time execution. This segmentation reduces the computational burden and complexity at the local level while maintaining fast response capability through the local layer's direct access to real-time load information.
Data Source
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AI summary
An energy storage dispatching method and devices are provided. The method is applied to a local dispatching module of a micro grid system. The micro grid system further comprises a cloud dispatching module and a power control module. The method comprises: receiving an energy storage dispatching instruction sent by the cloud dispatching module, wherein the energy storage dispatching instruction comprises a dispatching mode and a target state of charge; determining, based on the dispatching mode and the target state of charge, a theoretical energy storage power; adjusting, based on operation state information of the microgrid, the theoretical energy storage power, to obtain a target energy storage power, wherein the operation state information comprises a current load power; and sending the target energy storage power to the power control module, to allow the power control module adjust charging-discharging power of the energy storage device and/or the generated power of power generation assembly.