Energy management of grid connected rooftop solar system with battery storage

Teja, S Charan; Yemula, Pradeep Kumar

doi:10.1109/isgt-asia.2016.7796555

Cited by 14 publications

(5 citation statements)

References 14 publications

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“…Equations (14) and (15) calculate the battery energy level for the next time interval for the charging and discharging, respectively. Constraints (16) and (17) were obtained by considering the rated charging and discharging power of the battery. Minimum and maximum battery storage levels were determined by the battery local SoC limits presented in Section 2. ese limits were accounted by (18):…”

Section: Optimization Problem-based Emsmentioning

confidence: 99%

“…In the second type, home EMS has been developed with the focus of supporting the power supply side [16]. ese systems are adapting price-based signals to modify the power consumption of consumers, thus reducing network peaks or filling valleys [17].…”

Section: Introductionmentioning

confidence: 99%

“…Although optimization techniques can be used to solve scheduling problems in EMS and can provide accurate solutions, they are normally time-consuming especially when solving complex optimization problems [27,30]. Researchers of [16,[31][32][33] have considered a rule-based algorithm to the operation of the EMS. e rule-based algorithms are considered as a less time-consuming approach with less computational resource requirement.…”

mentioning

confidence: 99%

“…is means that there is an optimum dischargeable SoC level which maximizes the battery performance which reduces the cost. Minimum SoC levels are defined in the systems presented in [16,[37][38][39], and they ensure that the battery is operating within the defined SoC limits for the whole day.…”

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confidence: 99%

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Comparison of Optimization- and Rule-Based EMS for Domestic PV-Battery Installation with Time-Varying Local SoC Limits

Herath

Kodituwakku

Dasanayake

et al. 2019

Journal of Electrical and Computer Engineering

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Renewable energy is identified as a solution for the growing future electricity demand. Photovoltaic (PV) is a leading type of renewable energy source used for electricity generation. Among the PV systems, distributed PV systems are becoming popular among the domestic consumers and hence the number of domestic PV installations is on the rise continuously. Intermittent output power variations and inability to use the PV power during the night peak hours are major issues with PV systems. Energy storage is a possible mitigation technique for these issues. In order to effectively utilize local generations, storage, and loads, energy management system (EMS) becomes an essential component in future domestic PV installations. EMS for domestic consumers needs to be inexpensive, while a reasonable accuracy level is maintained. In this paper, optimization problem-based EMS and rule-based EMS were developed and compared to investigate the accuracy and the processing speed, thereby to select a fast and accurate EMS for a domestic PV installation. Furthermore, in the proposed EMS, a day-ahead generation and load profiles are generated from predictions, and thus the battery’s state of charge (SoC) levels over a day is estimated through the EMS. In order to utilize the storage effectively, time-varying local maximum and minimum SoC limits for the battery are introduced, which are inside the global maximum and minimum SoC limits. With the aid of real-PV profiles and typical loading profiles, the EMS was implemented using optimization- and rule-based techniques with local SoC limits. The results verified that the rule-based EMS produced accurate results in comparison to optimization-based EMS with lesser processing time. Further results verified that the introduction of local SoC limits improved the performance of the EMS in the unforeseen conditions.

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Section: Optimization Problem-based Emsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Comparison of Optimization- and Rule-Based EMS for Domestic PV-Battery Installation with Time-Varying Local SoC Limits

Herath

Kodituwakku

Dasanayake

et al. 2019

Journal of Electrical and Computer Engineering

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“…Their work considered emergency load curtailment and vehicle-tohome support during interruption events. Authors in [13] and [14] proposed a rule-based EMS to maintain the power balance in the Micro-grid (MG) and reduce the bill. Similarly, authors in [7,15,16] proposed a Fuzzy Logic (FL)-based-EMS to minimize the energy cost.…”

Section: Introductionmentioning

confidence: 99%

MILP Optimized Management of Domestic PV-Battery Using Two Days-Ahead Forecasts

et al. 2022

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This paper proposes an Energy Management System (EMS) for domestic PV-battery applications with the aim of reducing the absolute net energy exchange with the utility grid by utilizing the two days-ahead energy forecasts in the optimization process. A Mixed-Integer Linear Programming (MILP) exploits two daysahead energy demand and PV generation forecasts to schedule the day-ahead battery energy exchange with both the utility grid and the PV generator. The proposed scheme is tested using the real data of the Active Office Building (AOB) located in Swansea University, UK. Performance comparisons with state-of-the-art and the commercial EMS currently running at the AOB reveal that the proposed EMS increases the self-consumption of PV energy and at the same time reduces the total energy cost. The absolute net energy exchange with the grid and the total operating costs are reduced by 121% and 54% compared to the state-of-the-art and 194% and 8% when compared to the commercial EMS over a six-month period. Furthermore, the results show that the proposed method can reduce the energy bill by up to 46% for the same period compared to the state-of-the-art. The paper also investigates the effect of using different objective functions on the performance of the EMS and shows that the proposed EMS operate more efficiently when it is compared with another cost function that directly promotes reducing the absolute net energy exchange.

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Charging Stations for Electric Vehicles - Current Situation in Poland

Macioszek

Sierpiński

2020

Communications in Computer and Information Science

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Energy management of grid connected rooftop solar system with battery storage

Cited by 14 publications

References 14 publications

Comparison of Optimization- and Rule-Based EMS for Domestic PV-Battery Installation with Time-Varying Local SoC Limits

Comparison of Optimization- and Rule-Based EMS for Domestic PV-Battery Installation with Time-Varying Local SoC Limits

MILP Optimized Management of Domestic PV-Battery Using Two Days-Ahead Forecasts

Charging Stations for Electric Vehicles - Current Situation in Poland

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