Microgrid ESS Dispatch Using Combined Priority Asset Control
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Solution Overview
Problem
Existing systems fail to effectively prioritize and dispatch multiple energy storage systems (ESS) in a microgrid, neglecting their unique characteristics and operational needs, leading to inefficient energy management and potential degradation.
Innovation Solution
A microgrid system controller determines characteristic energy set points and power limits for each ESS, treats ESS assets with the same priority as a combined asset, and dispatches them using weighted set points, modifying charge/discharge limits based on state of charge, state of energy, and load conditions to optimize power distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If multiple ESS assets are operated with the same priority without considering their unique characteristics, then operational simplicity is improved, but ESS asset degradation and inefficiency worsen
Solution Approach 1:
The system segments ESS assets into different priority groups based on their unique characteristics such as battery chemistry, size, and operational requirements. This segmentation allows each ESS asset to receive tailored dispatch instructions that consider its specific attributes, preventing degradation while maintaining manageable operational complexity through automated classification.
2Reliability
If ESS assets are dispatched individually with customized parameters, then ESS asset optimization is improved, but system complexity worsens
Solution Approach 1:
The system merges ESS assets with identical priority characteristics into a single composite virtual asset. This consolidation simplifies the dispatch process by reducing the number of individual assets that need to be managed separately, while still allowing for optimized operation of each underlying ESS asset through the composite asset's aggregated parameters and characteristics.
3Productivity
If ESS assets with different characteristics are treated as identical, then dispatch process simplicity is improved, but energy management efficiency worsens
Solution Approach 1:
The system applies local quality by assigning specific operational parameters and priority levels to different ESS assets based on their local characteristics such as battery chemistry, capacity, and degradation rates. This ensures that each ESS asset operates within its optimal performance envelope, maximizing energy efficiency while preventing wastage through customized dispatch strategies tailored to each asset's specific qualities.
Data Source
AI summary
A microgrid system includes an electrical bus including at least one electrical load; at least one non-energy storage system asset configured to supply electrical power to the electrical bus; an energy storage system group including: two or more energy storage system assets configured to supply electrical power to the electrical bus, and a system controller operatively coupled to each of the assets on the electrical bus. The system controller is configured to: determine characteristic energy set points and power limits for each of the assets; determine that at least two or more assets have a same priority for power distribution; determine the characteristic power set points for the non-energy storage assets, dispatch the energy storage system assets having the same priority by treating a dispatch for the energy storage system assets as a combined asset.