Optimal Operation of Energy Storage Systems Considering Forecasts and Battery Degradation

Abdulla, Khalid; Hoog, Julian de; Müenzel, Valentin; Suits, Frank; Steer, Kent; Wirth, Andrew; Halgamuge, Saman K.

doi:10.1109/tsg.2016.2606490

Cited by 134 publications

(41 citation statements)

References 27 publications

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“…Recently, in Abdulla et al, an optimization method based on stochastic dynamic programming and a multifactor empirical battery aging model is integrated into the microgrid operation. In this paper, the battery aging model applied mainly based on curve‐fitting of the experimental data that reflects the impact of average SOC, DOD, and temperature.…”

Section: Related Workmentioning

confidence: 99%

Design and analysis of an aging‐aware energy management system for islanded grids using mixed‐integer quadratic programming

et al. 2019

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Summary The rapid increase of renewable energy sources made coordinated control of the distributed and intermittent generation units a more demanded task. Matching demand and supply is particularly challenging in islanded microgrids. In this study, we have demonstrated a mixed‐integer quadratic programming (MIQP) method to achieve efficient use of sources within an islanded microgrid. A unique objective function involving fuel consumption of diesel generator, degradation in a lithium‐ion battery energy storage system, carbon emissions, load shifting, and curtailment of the renewable sources is constructed, and an optimal operating point is pursued using the MIQP approach. A systematic and extensive methodology for building the objective function is given in a sequential and explicit manner with an emphasis on a novel model‐based battery aging formulation. Performance of the designed system and a sensitivity analysis of resulting battery dispatch, diesel generator usage, and storage aging against a range of optimization parameters are presented by considering real‐world specifications of the Semakau Island, an island in the vicinity of Singapore.

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Section: Related Workmentioning

confidence: 99%

Design and analysis of an aging‐aware energy management system for islanded grids using mixed‐integer quadratic programming

et al. 2019

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“…However, the aging model is simple and the effects of power peaks are neglected. Abdulla et al [6] propose a stochastic dynamic programming technique to optimally operate a battery, increasing the lifetime of the battery by 160% compared to non-optimal operation. However, no economics are included, and the peak demand tariffs are neglected.…”

Section: The Importance Of Considering Battery Degradationmentioning

confidence: 99%

“…In each time step, the charging or discharging powers are limited by the nominal power of the bi-directional inverter to avoid over-voltages and high currents, 0 ≤ P charge,t ≤ η inv P nom inv and 0 ≤ P disch,t ≤ P nom inv . In each operating period, the energy in the battery is either increased or reduced according to Equation (6). Note that when the battery is idle, P charge,t = P disch,t = 0 and the energy content remains unchanged.…”

Section: Battery Modelmentioning

confidence: 99%

Optimal Operation of Battery Storage for a Subscribed Capacity-Based Power Tariff Prosumer—A Norwegian Case Study

et al. 2019

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The cost of peak power for end-users subject to a demand charge may be substantial, expecting to increase further with the vast growth of power-demanding devices. In cases where load-shifting is not a viable option for cost reduction, battery storage systems used for peak shaving purposes are emerging as a promising solution. In this paper, the economic benefits of implementing battery storage into an existing grid-connected photovoltaic system for a medium-scale swimming facility is studied. The objective is to minimize the total cost of electricity for the facility, including the cost of energy and peak power demand, while ensuring the longevity of the battery. An optimization model based on multi-integer linear programming is built, and simulated using a one-year time horizon in GAMS and Matlab. The main results reveal that installing a battery storage system is economically attractive today, with net savings on the total system cost of 0.64% yearly. The cost of peak power is reduced by 13.9%, and the savings from peak shaving operation alone is enough to compensate for the yearly cost of the battery. Moreover, the battery ensures additional revenue by performing price arbitrage operations. When simulating the system for an assumed 2030 scenario, the battery is found to be more profitable with a yearly net savings of 4.15%.

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“…For example, commercial solvers are used in [11][12][13]. On the other hand, user developed techniques such as Stochastic Dynamic Programming (SDP) [21] and Generalized Benders Decomposition (GBD) [22] can also be used. The selection of a certain technique is not straightforward and depends on the approximations made to model the degradation of the battery, the complete mathematical model and the objectives that are pursued.…”

Section: Battery Cycling In Other Power Systems Applicationsmentioning

confidence: 99%

Stochastic operation of home energy management systems including battery cycling

2018

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The present work proposes a stochastic approach for Day-Ahead operation of Home Energy Management Systems when batteries, solar photovoltaic resources and Electric Water Heaters are considered. The optimization problem minimizes the operation costs formed by energy procurement in the wholesale market and the equivalent cycling aging cost of the batteries, and also includes the uncertainty of the PV production and the load. The complete two-stage stochastic formulation results in a Mixed-Integer Nonlinear Programming problem that is decomposed using a Competitive Swarm Optimizer to handle the calculation of the battery cycling aging cost. A Storage Disaggregation Algorithm based on Lagrangian relaxation is used to reduce the problem size and to allocate individual State of Charge for the batteries. In addition, the advantages of considering a stochastic approach are shown by means of the Value of the Stochastic Solution. This methodology has been developed in the context of the Horizon 2020 project SENSIBLE as part of the tasks related to a use case that considers an aggregator that participates in the electricity market with a portfolio of prosumers with active demand capability.

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Optimal Operation of Energy Storage Systems Considering Forecasts and Battery Degradation

Cited by 134 publications

References 27 publications

Design and analysis of an aging‐aware energy management system for islanded grids using mixed‐integer quadratic programming

Design and analysis of an aging‐aware energy management system for islanded grids using mixed‐integer quadratic programming

Optimal Operation of Battery Storage for a Subscribed Capacity-Based Power Tariff Prosumer—A Norwegian Case Study

Stochastic operation of home energy management systems including battery cycling

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