Prioritized rule based load management technique for residential building powered by PV/battery system

Ayodele, T.R.; Ogunjuyigbe, A.S.O.; Akpeji, Kingsley O.; Akinola, O.O.

doi:10.1016/j.jestch.2017.04.003

Cited by 40 publications

(20 citation statements)

References 17 publications

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“…charging and discharging. In charging state, the battery stores surplus power supplied by sources and the current state of battery E B (t) can be calculated as follows [22][23][24]:…”

Section: Model Of Storage Systemmentioning

confidence: 99%

Performance Investigation of a Solar Photovoltaic/Diesel Generator Based Hybrid System with Cycle Charging Strategy Using BBO Algorithm

Chauhan¹,

Upadhyay

Khan³

et al. 2021

Sustainability

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In the current scenario, sustainable power generation received greater attention due to the concerns of global warming and climate change. In the present paper, a Solar Photovoltaic/Diesel Generator/ Battery-based hybrid system has been considered to meet the electrical energy demand of a remote location of India. The cost of the energy of hybrid system is minimized using a Biogeography-based Optimization (BBO) algorithm under the constraints of power reliability, carbon emission and renewable energy fraction. Load following and cycle charging strategies have been considered in order to investigate the performance analysis of the proposed hybrid system. Further, different component combinations of specifications available on the market are presented for detail analysis. The minimum cost of energy of the proposed hybrid system is obtained as 0.225 $/kWh.

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“…charging and discharging. In charging state, the battery stores surplus power supplied by sources and the current state of battery E B (t) can be calculated as follows [22][23][24]:…”

Section: Model Of Storage Systemmentioning

confidence: 99%

Performance Investigation of a Solar Photovoltaic/Diesel Generator Based Hybrid System with Cycle Charging Strategy Using BBO Algorithm

Chauhan¹,

Upadhyay

Khan³

et al. 2021

Sustainability

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“…Among the optimal load scheduling studies, some researchers approach load management through a rule-based methodology. Ayodele [13] proposed a rule-based load management scheme for a stand-alone PV battery system, where residential loads are classified into critical and non-critical loads. The critical loads are given higher priority and therefore can operate at their scheduled time while the uncritical loads can be shifted to other times.…”

Section: Introductionmentioning

confidence: 99%

Optimal Renewable Resource Allocation and Load Scheduling of Resilient Communities

et al. 2020

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This paper presents a methodology for enhancing community resilience through optimal renewable resource allocation and load scheduling in order to minimize unserved load and thermal discomfort. The proposed control architecture distributes the computational effort and is easier to be scaled up than traditional centralized control. The decentralized control architecture consists of two layers: The community operator layer (COL) allocates the limited amount of renewable energy resource according to the power flexibility of each building. The building agent layer (BAL) addresses the optimal load scheduling problem for each building with the allowable load determined by the COL. Both layers are formulated as a model predictive control (MPC) based optimization. Simulation scenarios are designed to compare different combinations of building weighting methods and objective functions to provide guidance for real-world deployment by community and microgrid operators. The results indicate that the impact of power flexibility is more prominent than the weighting factor to the resource allocation process. Allocation based purely on occupancy status could lead to an increase of PV curtailment. Further, it is necessary for the building agent to have multi-objective optimization to minimize unserved load ratio and maximize comfort simultaneously.

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“…Likewise, at night the on-grid PV system will automatically off sync, whereas the off-grid PV system can operate independently to supply DC or AC loads. This system is very suitable to be a source of electricity in the region remote areas that are difficult to access by national grid networks [4].…”

Section: Introductionmentioning

confidence: 99%

Design of arduino-based loading management system to improve continuity of solar power supply

Muhardika

Syafii

2020

IJEECS

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<p>Solar power plants using environmentally friendly technology in the process of harvesting energy from the sun can be a solution to the future electricity crisis so that it has been the most widely developed and reliable alternative. However, the conversion of solar energy depends on the availability and conditions of sunlight. In sunny conditions, the PV system can serve large loads while charging the battery to the maximum. While in cloudy weather conditions or at night, the PV system serves the load and without charge of the battery. The battery will discharge the stored energy until it runs out, and the supply to the load will be cut off before the desired time. Therefore, research on the PV system loading management system is needed to increase the amount of electricity from solar energy and maintain the continuity of electricity supply to the load. The load power management strategy follows the conditions of sunny, cloudy, rainy, or night time by considering the remaining capacity of the battery that can be used. Load installations are designed to consist of low, medium, and high load installations. Simulation results show that the use of PV loading management strategies can increase the operating time of the PV system. When the remaining less than 10% battery capacity and PLN supply is available, the supply will be switched to PLN. The remaining 10% of PV battery capacity could be used to maintain electricity supply to a low load if the PLN supply interrupted. Thus, the use of a loading management strategy will increase the electricity supply from renewable energy and improve the sustainability of electricity supply.</p>

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Prioritized rule based load management technique for residential building powered by PV/battery system

Cited by 40 publications

References 17 publications

Performance Investigation of a Solar Photovoltaic/Diesel Generator Based Hybrid System with Cycle Charging Strategy Using BBO Algorithm

Performance Investigation of a Solar Photovoltaic/Diesel Generator Based Hybrid System with Cycle Charging Strategy Using BBO Algorithm

Optimal Renewable Resource Allocation and Load Scheduling of Resilient Communities

Design of arduino-based loading management system to improve continuity of solar power supply

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