Control strategies for residential battery energy storage systems coupled with PV systems

Ranaweera, Iromi; Midtgård, Ole-Morten; Korpås, Magnus; Farahmand, Hossein

doi:10.1109/eeeic.2017.7977466

Cited by 4 publications

(3 citation statements)

References 9 publications

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“…Such ideal behavior does not reflect the reality of available industrial battery management systems. The authors of [26] had to constrain the discharge of the battery only after the SOC reached a given threshold. This is a clear limitation of any financial optimization trial.…”

Section: Previous Related Workmentioning

confidence: 99%

Model Predictive Control for Residential Battery Storage System: Profitability Analysis

Ngani

Hadji-Minaglou

2023

Batteries

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For increased penetration of energy production from renewable energy sources at a utility scale, battery storage systems (BSSs) are a must. Their levelized cost of electricity (LCOE) has drastically decreased over the last decade. Residential battery storage, mostly combined with photovoltaic (PV) panels, also follow this falling prices trend. The combined effect of the COVID-19 pandemic and the war in Ukraine has caused such a dramatic increase in electricity prices that many consumers have adjusted their strategies to become prosumers and self-sufficient as feed-in subsidies continue to drop. In this study, an investigation is conducted to determine how profitable it is to install BSSs in homes with regards to battery health and the levelized cost of total managed energy. This is performed using mixed-integer linear programming (MILP) in MATLAB, along with its embedded solver Intlinprog. The results show that a reasonable optimized yearly cycling rate of the BSS can be reached by simply considering a non-zero cost for energy cycling through the batteries. This cost is simply added to the electricity cost equation of standard optimization problems and ensures a very good usage rate of the batteries. The proposed control does not overreact to small electricity price variations until it is financially worth it. The trio composed of feed-in tariffs (FITs), electricity costs, and the LCOE of BSSs represents the most significant factors. Ancillary grid service provision can represent a substantial source of revenue for BSSs, besides FITs and avoided costs.

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Section: Previous Related Workmentioning

confidence: 99%

Model Predictive Control for Residential Battery Storage System: Profitability Analysis

Ngani

Hadji-Minaglou

2023

Batteries

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“…These control strategies are based on some defined set of rules, optimization with or without utility constraints and the distributed based control. Hence the performance of the entire system can be improved by means of reducing the power requirement, energy losses and voltage unbalance caused by the installations of Small-scale Rooftop Solar PV systems [4].…”

Section: Introductionmentioning

confidence: 99%

Evolution of Novel Process for Smart Inverter for High Penetration of Rooftop Solar Energy in Power Utility With Secondary Distribution Network – A Review

Shinde¹,

Mane²

2022

Engineering World

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With the critical change of Rooftop Solar Photovoltaic Energy System (RSPES) between the two different Renewable Energy Systems, the real problems, impacts and a few working qualities of the housetop sunlight based PVs with Low Power Utility Network Distribution System (DS) are currently to be examined and explored throught out the worldwide. The most vital target of review looks into about the load flow in LV Networks and searches a way for implementing high penetration PV network. The study papers discuss the implementation of the Smart Inverter-coordinated secondary distribution system with the proximity of distribution generation (DG) units. This paper reviews based on the methods which are utilized to tackle the issues and improvement of performance in the rooftop solar photovoltaic energy system in the period between 2014 to 2017.

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“…Each day, 1-day ahead prediction of PV generation and load profiles is performed to decide the power limit beyond which the peak shaving strategy works. Finally, in [15], several control strategies of batteries are compared for a residential battery energy storage system (BESS) coupled with a PV generator. In particular, a base control strategy charges the battery when PV production exceeds local loads and starts to discharge the storage in the evening, when PV generation is negligible.…”

Section: Introductionmentioning

confidence: 99%

A Smart Battery Management System for Photovoltaic Plants in Households Based on Raw Production Forecast

Spertino¹,

Ciocia²,

Leo³

et al. 2019

Green Energy Advances

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A basic battery management system (BMS) permits the safe charge/discharge of the batteries and the supply of loads. Batteries are protected to avoid fast degradation: the minimum and maximum state-of-charge (SOC) limits are not exceeded and fast charge/discharge cycles are not permitted. A more sophisticated BMS connected to a photovoltaic (PV) generator could also work with the double purpose of protecting storage and reducing peak demand. Peak reduction by storage generally requires the forecast of consumption and PV generation profiles to perform a provisional energy balance. To do it, it is required to have accurate information about production profiles, that is, to have at disposal accurate weather forecasts, which are not easily available. In the present work, an efficient BMS in grid-connected PV plants for residential users is described. Starting from raw 1-day ahead weather forecast and prediction of consumption, the proposed BMS preserves battery charge when it is expected high load and low PV production and performs peak shaving with a negligible reduction in self-sufficiency.

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Control strategies for residential battery energy storage systems coupled with PV systems

Cited by 4 publications

References 9 publications

Model Predictive Control for Residential Battery Storage System: Profitability Analysis

Model Predictive Control for Residential Battery Storage System: Profitability Analysis

Evolution of Novel Process for Smart Inverter for High Penetration of Rooftop Solar Energy in Power Utility With Secondary Distribution Network – A Review

A Smart Battery Management System for Photovoltaic Plants in Households Based on Raw Production Forecast

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