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20162023
most citedOptimal Control Via Neural Networks: A Convex Approach

27 citations · 204 across the 36 of their papers we have counts for

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Showing 2017Show all

6 papers · 1 filter

math.OC2017★ 14 cited

Modeling and Optimization of Complex Building Energy Systems with Deep Neural Networks

Yize Chen, Yuanyuan Shi, Baosen Zhang

Modern buildings encompass complex dynamics of multiple electrical, mechanical, and control systems. One of the biggest hurdles in applying conventional model-based optimization an…

math.OC2017★ 6 cited

Optimal Battery Participation in Frequency Regulation Markets

Bolun Xu, Yuanyuan Shi, Daniel S. Kirschen +1

Battery participants in performance-based frequency regulation markets must consider the cost of battery aging in their operating strategies to maximize market profits. In this pap…

math.OC2017★ 7 cited

Optimal Battery Control Under Cycle Aging Mechanisms in Pay for Performance Settings

Yuanyuan Shi, Bolun Xu, Yushi Tan +2

We study the optimal control of battery energy storage under a general "pay-for-performance" setup such as providing frequency regulation and renewable integration. In these settin…

math.OC2017

A Convex Cycle-based Degradation Model for Battery Energy Storage Planning and Operation

Yuanyuan Shi, Bolun Xu, Yushi Tan +1

A vital aspect in energy storage planning and operation is to accurately model its operational cost, which mainly comes from the battery cell degradation. Battery degradation can b…

math.OC2017★ 7 cited

Optimal Regulation Response of Batteries Under Cycle Aging Mechanisms

Bolun Xu, Yuanyuan Shi, Daniel S. Kirschen +1

When providing frequency regulation in a pay-for-performance market, batteries need to carefully balance the trade-off between following regulation signals and their degradation co…

eess.SY2017★ 24 cited

Using Battery Storage for Peak Shaving and Frequency Regulation: Joint Optimization for Superlinear Gains

Yuanyuan Shi, Bolun Xu, Di Wang +1

We consider using a battery storage system simultaneously for peak shaving and frequency regulation through a joint optimization framework which captures battery degradation, opera…