Optimal energy management of residential battery storage under uncertainty

Su, Hao; Zhou, Yun; Feng, Donghan; Li, Hengjie; Numan, Muhammad

doi:10.1002/2050-7038.12713

Cited by 7 publications

(3 citation statements)

References 56 publications

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“…They compute the covariance matrix that constrains time-dependent information and use it to auto-correlate scenarios from the probabilistic forecasts that serve as inputs to an EMS system that considers uncertainty. In [16], a residential HEMS is implemented based on an expectation-oriented stochastic model for the battery scheduling to cope with the uncertainty related to supply and demand.…”

Section: Related Workmentioning

confidence: 99%

Home Energy Management Systems with Branch-and-Bound Model-Based Predictive Control Techniques

et al. 2021

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At a global level, buildings constitute one of the most significant energy-consuming sectors. Current energy policies in the EU and the U.S. emphasize that buildings, particularly those in the residential sector, should employ renewable energy and storage and efficiently control the total energy system. In this work, we propose a Home Energy Management System (HEMS) by employing a Model-Based Predictive Control (MBPC) framework, implemented using a Branch-and-Bound (BAB) algorithm. We discuss the selection of different parameters, such as time-step, to employ prediction and control horizons and the effect of the weather in the system performance. We compare the economic performance of the proposed approach against a real PV-battery system existing in a household equipped with several IoT devices, concluding that savings larger than 30% can be obtained, whether on sunny or cloudy days. To the best of our knowledge, these are excellent values compared with existing solutions available in the literature.

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Section: Related Workmentioning

confidence: 99%

Home Energy Management Systems with Branch-and-Bound Model-Based Predictive Control Techniques

et al. 2021

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“…Based on the priorities mentioned above, it is appropriate to single out [16][17][18][19], which focus on the problems of the effective control of BESSs, as well as [20][21][22][23], which provide important results regarding the regulation of the specified storage systems. Study [24] presents the results of improving the efficiency of hybrid wind-battery energy storage systems using nonlinear control and power control optimisation, and paper [25] considers the optimisation of the energy management system for microgrids, taking into account the optimal use of grid energy and the degradation of battery storage systems.…”

Section: Introductionmentioning

confidence: 99%

Organisation of the Structure and Functioning of Self-Sufficient Distributed Power Generation

Hotra,

Kulyk,

Babak

et al. 2023

Energies

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During the operation of solar and wind power plants, it is necessary to solve issues related to the guaranteed capacity of these plants, as well as the frequency stabilisation in the power system where they operate, and maintain an operating mode of self-sufficiency conditions. One of the solutions to these problems is the use of energy storage systems. This article proposes a mathematical model for the study of frequency and power regulation processes in power systems with distributed generation, which includes renewable energy resources and energy storage systems. The novelty of the model lies in the possibility of determining energy cost indicators based on instantaneous energy power data. The model allows us to estimate the conditions under which distributed generation becomes self-sufficient. The results of the model calculations of two variants of power system operation, which includes wind generators with a capacity of 1500 MW, demonstrate the ability of the proposed model to accurately reproduce the dynamics of the frequency stabilisation process. The calculation results of the energy-economic indicators of a real power system combined with a powerful subsystem of wind generation and a battery-type energy storage system prove the competitiveness of self-sufficient renewable energy power plants.

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“…In our previous work [27], we proposed a stochastic model oriented to price arbitrage. In this paper, we further extend it to the scenario of arbitrage plus peak-shaving.…”

Section: Introductionmentioning

confidence: 99%

Impact of Uncertainty on Optimal Battery Dispatch for Arbitrage and Peak Shaving: From Perspectives of Analytical Solutions and Examples

Sheng¹,

Feng²,

Zhou³

et al. 2022

Preprint

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<p>Uncertain renewable power generation and on-site demand would complicate battery operation and affect profitability. In this paper, a novel battery scheduling model is proposed for maximizing arbitrage benefits while meeting the peak shaving requirements. The proposed model features accurate expectations and is essentially a stochastic optimization accounting for uncertainty. The convexity of the proposed model is strictly proved, which ensures that the global optimal solution is obtainable and computationally attractive. Based on the firstorder optimality condition, we further derive the analytical form of the optimal solution, which explicitly demonstrates the impact of uncertainty on the optimal dispatch of battery storage. Both the convexity and the solution stability of the proposed model are verified through extensive case studies involving various time periods and multiple algorithms for convex optimization. In addition, the change in the trade-off price threshold caused by uncertainty is also illustrated in simulations.<br> </p>

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Optimal energy management of residential battery storage under uncertainty

Cited by 7 publications

References 56 publications

Home Energy Management Systems with Branch-and-Bound Model-Based Predictive Control Techniques

Home Energy Management Systems with Branch-and-Bound Model-Based Predictive Control Techniques

Organisation of the Structure and Functioning of Self-Sufficient Distributed Power Generation

Impact of Uncertainty on Optimal Battery Dispatch for Arbitrage and Peak Shaving: From Perspectives of Analytical Solutions and Examples

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