SESSION 4 Energy Storage

Talk 1:Li-Ion Storage Models for Energy System Optimization: The Accuracy-Tractability Tradeoff (paper link)

This talk is about how to build a model describing the state of charge evolution of Lithium-ion battery, which strike a good balance between accuracy and tractability. They proposed two models and validated by real battery data traces. One of their proposed models works pretty good, in term of tractability (can be easily fitted into a mathematical optimization problem) and accuracy (<5% error). This work is pretty interesting since battery SoC modeling has been a fundamental yet challenging topic in energy storage planning and control area.

Talk 2:Resting Weak Cells to Improve Battery Pack’s Capacity Delivery via Reconfiguration (paper link)

This talk is about how to improve the battery pack’s capacity delivery via  a Cell-Skipping -assisted Reconfiguration (CSR) algorithm. This work is very interesting since the current cell management method, which using all the cells to provide energy, might be in-efficient since the weakest cell dominates their overall capacity. They evaluate the proposed CSR algorithm by large-scale emulation based on empirically collected discharge traces of 40 Lithium-ion cells. And CSR is shown to achieve close-to-optimal capacity delivery when the cell imbalance in the battery pack is low and improve the capacity delivery by up to 94% in case of high imbalance.

Talk 3:Understanding solar PV and battery adoption in Ontario: an agent-based approach (paper link)


How to open the door of selling solar PV and battery to customers? This is a very practical yet very important problem. This talk describes how different energy policies affect the adoption of “PV battery systems”. Focusing on Ontario, they conduct a survey to elicit the responsiveness of residents to potential energy policies. And used a Agent-Based Model (ABM) model to forecast the relative performance of different energy policies. The results are very interesting. For one thing, they found PV-battery system adoption in Ontario is likely to be incremental rather than exponential. What’s more, they also mentioned the most effective way to improve PV-battery system adoption is to significantly reduce its price.

Personally, I favorite talk 3. From yesterday’s panel, the question of “how to open the door of smart grid to customers” has been in my mind. Many of us are working on how to optimally do demand response, or how to optimally control EVs. But without customers’ participation, all these proposals can not be finally applied.

The current electricity price is relatively low, therefore “bill saving” might not be good incentive for customers. Prof. Steven Low mentioned yesterday “environmental friendly” might be a good incentive since many people are concerned on our environment. And Talk 3 gave another good point. Reducing the “economy threshold” for customers to participate in the smart grid is also a powerful way to open the door. If the smart meters, solar PV or battery cells are offered at a lower rate (or say free), it might be much easier to help customers get involved into the smart grid.


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