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We study the optimal control of storage which is used for arbitrage, i.e. for buying a commodity when it is cheap and selling it when it is expensive. Our particular concern is with the management of energy systems, although the results are…

最优化与控制 · 数学 2014-06-17 James Cruise , Richard Gibbens , Stan Zachary

In this paper we consider an energy storage optimization problem in finite time in a model with partial information that allows for a changing economic environment. The state process consists of the storage level controlled by the storage…

数理金融 · 定量金融 2016-06-21 Anton A. Shardin , Michaela Szölgyenyi

There is growing interest in the use of grid-level storage to smooth variations in supply that are likely to arise with increased use of wind and solar energy. Energy arbitrage, the process of buying, storing, and selling electricity to…

最优化与控制 · 数学 2015-09-01 Daniel R. Jiang , Warren B. Powell

As the penetration level of transmission-scale time-intermittent renewable generation resources increases, control of flexible resources will become important to mitigating the fluctuations due to these new renewable resources. Flexible…

最优化与控制 · 数学 2013-09-12 Krishnamurthy Dvijotham , Scott Backhaus , Misha Chertkov

Leveraging electrochemical and thermal energy storage systems has been proposed as a strategy to reduce peak power in data centers. Thermal energy storage systems, such as chilled water tanks, have gained increasing attention in data…

系统与控制 · 电气工程与系统科学 2020-07-21 Yangyang Fu , Xu Han , Jessica Stershic , Wangda Zuo , Kyri Baker , Jianming Lian

This paper presents models for renewable energy systems with storage, and considers its optimal operation. We model and simulate wind and solar power production using stochastic differential equations as well as storage of the produced…

We consider the coupled problems of optimal thermostat programming and optimal pricing of electricity. Our framework consists of a single user and a single provider (a regulated utility). The provider sets prices for the user, who pays for…

最优化与控制 · 数学 2015-04-16 Reza Kamyar , Matthew M. Peet

Dispatchability of renewable energy sources and inflexible loads can be achieved using a volatility-compensating energy storage. However, as the future power outputs of the inflexible devices are uncertain, the computation of a dispatch…

系统与控制 · 计算机科学 2018-05-25 R. R. Appino , J. Á. González Ordiano , R. Mikut , V. Hagenmeyer , T. Faulwasser

We characterize profit-maximizing operating strategies, over some time horizon [0,T], for an energy store which is trading in an arbitrage market. Our theory allows for leakage, operating inefficiencies, operating constraints and general…

最优化与控制 · 数学 2014-12-03 Lisa Flatley , Robert S. MacKay , Michael Waterson

The use of energy storage to balance electric grids is increasing and, with it, the importance of operational optimisation from the twin viewpoints of cost and system stability. In this paper we assess the real option value of balancing…

最优化与控制 · 数学 2016-10-19 John Moriarty , Jan Palczewski

Energy storage resources must consider both price uncertainties and their physical operating characteristics when participating in wholesale electricity markets. This is a challenging problem as electricity prices are highly volatile, and…

机器学习 · 计算机科学 2023-06-02 Yousuf Baker , Ningkun Zheng , Bolun Xu

Recently, the volatility associated with marginal prices has increased due to large scale integration of renewable generation. Price volatility is undesirable from a consumer perspective. To address this issue, we present a framework for…

最优化与控制 · 数学 2018-12-11 Shantanu Chakraborty , Kyri Baker , Milos Cvetkovic , Remco Verzijlbergh , Zofia Lukszo

We consider the co-optimization of flexible household consumption, electric vehicle charging, and behind-the-meter distributed energy resources under the net energy metering tariff. Using a stochastic dynamic programming formulation, we…

系统与控制 · 电气工程与系统科学 2024-05-01 Minjae Jeon , Lang Tong , Qing Zhao

This work studies synergies arising from combining industrial demand response and local renewable electricity supply. To this end, we optimize the design of a local electricity generation and storage system with an integrated demand…

We consider the problem of planning the aggregate energy consumption for a set of thermostatically controlled loads for demand response, accounting price forecast trajectory and thermal comfort constraints. We address this as a…

最优化与控制 · 数学 2019-05-09 Fernando A. C. C. Fontes , Abhishek Halder , Jorge Becerril , P. R. Kumar

Energy storage is a key enabler towards a low-emission electricity system, but requires appropriate dispatch models to be economically coordinated with other generation resources in bulk power systems. This paper analyzes how different…

最优化与控制 · 数学 2022-07-26 Ningkun Zheng , Bolun Xu

Battery Energy Storage Systems (BESS) can mitigate effects of intermittent energy production from renewable energy sources and play a critical role in peak shaving and demand charge management. To optimally size the BESS from an economic…

最优化与控制 · 数学 2017-03-01 Abdulelah H Habib , Vahid R. Disfani , Jan Kleissl , Raymond de Callafon

We investigate the profitability and risk of energy storage arbitrage in electricity markets under price uncertainty, exploring both robust and chance-constrained optimization approaches. We analyze various uncertainty representations,…

最优化与控制 · 数学 2025-01-16 Yiqian Wu , Bolun Xu , James Anderson

Energy storage is expected to play an increasingly important role in mitigating variations that come along with the growing penetration of renewable energy. In this paper, we study the optimal bidding of an energy storage unit in a…

最优化与控制 · 数学 2021-09-29 Yue Chen , Wei Wei , Tongxin Li , Yunhe Hou , Feng Liu , João P. S. Catalão

The widespread use of industrial refrigeration systems across various sectors contribute significantly to global energy consumption, highlighting substantial opportunities for energy conservation through intelligent control design. As such,…

系统与控制 · 电气工程与系统科学 2024-06-03 Rohit Konda , Jordan Prescott , Vikas Chandan , Jesse Crossno , Blake Pollard , Dan Walsh , Rick Bohonek , Jason R. Marden