Predictive energy management and control system for PV system connected to power electric grid with periodic load shedding

Syed, Irtaza M.; Raahemifar, Kaamran

doi:10.1016/j.solener.2016.07.011

Cited by 12 publications

(10 citation statements)

References 11 publications

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“…This study shows that the roundtrip efficiency of a typical lithium-ion battery including losses is around 84%. Furthermore, authors in [58,82,[105][106][107][108][109][110][111][112][113][114][115][116][117][118][119][120][121][122][123] have also assumed a constant efficiency for the battery. However, research done in [124,125] showed that an inaccurate battery model can lead to an overestimate of battery's economic performance.…”

Section: Battery Operating Modelmentioning

confidence: 99%

Energy management of small-scale PV-battery systems: A systematic review considering practical implementation, computational requirements, quality of input data and battery degradation

Azuatalam

Paridari

et al. 2019

Renewable and Sustainable Energy Reviews

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The home energy management problem has many different facets, including economic viability, data uncertainty and quality of strategy employed. The existing literature in this area focuses on individual aspects of this problem without a detailed, holistic analysis of the results with regards to practicality in implementation. In this paper, we fill this gap by performing a comprehensive comparison of seven different energy management strategies, each with different levels of practicality, sophistication and computational requirements. We analyse the results in the context of these three characteristics, and also critique the modelling assumptions made by each strategy. Our analysis finds that using a more sophisticated energy management strategy may not necessarily improve the performance and economic viability of the PV-battery system due to the effects of modeling assumptions, such as the treatment of uncertainties in the input data and battery degradation effects.

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Section: Battery Operating Modelmentioning

confidence: 99%

Energy management of small-scale PV-battery systems: A systematic review considering practical implementation, computational requirements, quality of input data and battery degradation

Azuatalam

Paridari

et al. 2019

Renewable and Sustainable Energy Reviews

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“…In order to demonstrate the superiority of the proposed algorithm, the proposed method is compared with that mentioned in reference [5], in which the power allocation strategy is according to the actual acceptable maximum power ratio of each battery system.…”

Section: Simulation Designmentioning

confidence: 99%

“…The problem of cost optimization for BPs in BESS also worth studying. In reference [5], power is allocated to each BP by equal ratio principle. Although this method has certain rationality and less calculation, it does not consider the increase of operation cost caused by battery aging, which leads to the poor effect of dispatching cost optimization.…”

Section: Introductionmentioning

confidence: 99%

Economic Optimization Scheduling Strategy for Battery Energy Storage System Based on Particle Swarm Optimization

Sun¹,

Liu²,

Ma³

et al. 2019

dteees

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The power scheduling of Battery Energy Storage System(BESS) directly affects its scheduling cost, and a reasonable power allocation scheme is the basis for ensuring the economic operation of the power system. In this paper, the goal of optimization is to minimize scheduling cost of per unit period, in order to realize the reasonable power allocation of BESS. The BESS power scheduling cost is established, and the Particle Swarm Optimization (PSO) is used to achieve global optimization. The proposed method could complete the scheduling task while minimizing the scheduling cost. The results of the case simulation showed that comparing with the traditional equal-proportion power allocation scheme, the PSO optimal scheduling method used in this paper saved the scheduling cost by about 19.5%, when the life of BESS was terminated (2524 times) under the traditional scheduling method. Besides, the proposed method continued for an additional 515 times, which increased the operational life of the BESS by about 20.4%, which proved the superiority and economy of the new method.

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“…From another perspective, a predictive energy management and control system was proposed in [7] for a PV-battery microgrid connected to an unreliable public grid which suffering This research is financed by the German Academic Exchange Service (DAAD). from periodic blackouts.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, an economic MPC was used in [12] to create an optimal power dispatch framework for a PV-battery system taking into account battery lifetime and grid blackouts problem. It is worth to mention that the reactive power has not been considered in the previous studies [7]- [12]. A special property of industrial loads is that they have low power factors.…”

Section: Introductionmentioning

confidence: 99%

Optimal Operation of PV-Battery-Diesel MicroGrid for Industrial Loads Under Grid Blackouts

Alramlawi

Gabash

Mohagheghi

et al. 2018

2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Syst

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In this paper, we propose an approach to determine the optimal operation strategies for a PV-diesel-battery microgrid covering industrial loads under grid blackouts. A special property of the industrial loads is that they have low power factors. Therefore, the reactive power consumption of the load cannot be neglected. In this study, a novel model of a PV-batterydiesel microgrid is developed considering the active as well reactive power of the microgrid components. Furthermore, an optimization approach is proposed to optimize the active as well reactive power flow in the microgrid for covering the load demand while decreasing the power consumption from the grid, minimizing the diesel generator (DG) operation cost as well as maximizing the consumed power from the PV-array. It has been found that the proposed operation strategy induces a huge reduction of the consumed energy cost and the PV curtailment.Index Terms-MicroGrids, grid blackouts, PV-battery-diesel, reactive power optimal operation.

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Predictive energy management and control system for PV system connected to power electric grid with periodic load shedding

Cited by 12 publications

References 11 publications

Energy management of small-scale PV-battery systems: A systematic review considering practical implementation, computational requirements, quality of input data and battery degradation

Energy management of small-scale PV-battery systems: A systematic review considering practical implementation, computational requirements, quality of input data and battery degradation

Economic Optimization Scheduling Strategy for Battery Energy Storage System Based on Particle Swarm Optimization

Optimal Operation of PV-Battery-Diesel MicroGrid for Industrial Loads Under Grid Blackouts

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