Battery Storage System Research Articles

Identification of Challenges for Second-Life Battery Systems—A Literature Review

Lithium-ion batteries (LIBs) have been proven to be increasingly popular and are the solution of choice for many companies and business models around the world. One major question for battery owners is how to deal with returning batteries if they still contain sufficient capacity for operation. In this case, those energy storages can still be used in different, less-required second-life applications, such as stationary battery storage systems, contributing to increased product sustainability and economic benefits at the same time. However, the second-life business model is still at an early stage of development due to the young EV market in combination with long vehicle lifetimes. As a consequence, there are several barriers in various thematic fields, complicating the rededication process for LIBs. This review paper focuses on a summary of barriers to second-life adoption published with scientific reference. Furthermore, barriers are clustered thematically to provide a transparent landscape picture and valuable insights into the rededication process of LIBs.

Societal Acceptability of Large Stationary Battery Storage Systems

Large stationary battery storage (BS) has experienced rapid growth, but only few studies have examined the social acceptability of these. An online survey is conducted by examining the visual impact (location and design) of BS on acceptability. Analyses indicate that BS is more readily accepted in industrial and rural areas compared to residential areas or the participants’ immediate neighborhoods. Adapting the design of BS to its surroundings can help to increase acceptability in residential areas, whereas battery storage design does not significantly influence acceptability in locations further away from homes. Finally, findings concerning public support for diverse mitigation measures with regard to the siting of BS in residential areas show that environmental mitigation measures are most supported. The findings support the notion that the location and design of BS affect technology acceptability. When possible, BS should be built away from residential areas, for which acceptability is rather low. On the other hand, especially industrial areas emerge as a promising location for siting battery storage, with acceptability being very high. If BS is built close to or in residential areas, attention should be paid to minimizing visual intrusion by adapting the exterior of the infrastructure toward its surroundings.

Survey on Battery Technologies and Modeling Methods for Electric Vehicles

The systematic transition of conventional automobiles to their electrified counterparts is an imperative step toward successful decarbonization. Crucial advances in battery storage systems (BSS) and related technologies will enable this transition to proceed smoothly. This requires equivalent developments in several interconnected areas, such as complete battery cycles and battery management systems (BMS). In this context, this article critically examines state-of-the-art battery technologies from the perspective of automakers, provides insightful discussions, and poses open questions with possible answers. The generations of BSS (traditional, current, and futuristic) are first reviewed and analyzed via two distinct qualitative factors (DQFs): key design markers and performance indicators. Based on the introduced DQFs, major development trends and probable evolutions are forecasted. Thereafter, recent modeling and state estimation methods are comprehensively reviewed in relation to high-performance BMS. Accordingly, promising modeling methods are identified as futuristic solutions, leading to an accurate and timely decision for reliable and safer user experience. This article is concluded by presenting a techno-economic assessment of what to expect, as well as highlighting future challenges and opportunities for industry, academia, and policy makers.

Smart inverter and battery storage controls to reduce financial loss due to overvoltage-induced PV curtailment in distribution feeders

The rapid growth of rooftop solar photovoltaic (PV) systems in low-voltage distribution networks has caused reverse power flow leading to voltage rise. As the voltage level increases, PV inverters first reduce the output power to regulate the voltage and may eventually shut down if the voltage level remains above the permissible limit. When this happens, the PV output power is curtailed, leading to financial loss. This paper examines two control strategies to reduce PV curtailment: (1) smart PV inverters and (2) residential battery storage system optimally sized to reduce the cost of household energy. Smart PV inverters can reduce the voltage level by absorbing reactive power at the expense of curtailing its active power output. Residential battery storage can reduce the voltage level by storing excess PV power instead of exporting it to the grid Using these two strategies, a systematic approach is presented to reduce PV curtailment and the associated financial loss. Three types of electricity tariffs are used, namely, electricity market pool price, and retail flat and time of use tariffs for household customers. An 11-kV distribution feeder in South Australia is analysed with the prevailing feeder and inverter voltage limits per Australian regulatory standards. The results demonstrate that installing 100% of PV systems with smart inverters and optimally sized battery storage can reduce the PV curtailment and the corresponding financial losses by 47%.

Impact of forecast uncertainty and electricity markets on the flexibility provision and economic performance of highly-decarbonized multi-energy systems

To enable the widespread integration of volatile renewable energy for decarbonization, electricity systems will need to become significantly more flexible to absorb power fluctuations. Therefore, current fossil-fueled flexible power generation will have to be complemented and partially replaced by decentralized flexibility. To address flexibility challenges, multi-energy system (MES) is a promising concept. In this paper, a MES design and operation optimization model is developed considering flexibility provision. MES technologies are harnessed to provide flexibility to the electricity grid in the form of frequency control reserves after mitigating the impact of load and generation forecast errors within the MES. The developed optimization model is applied to a neighborhood MES in Switzerland, participating in the day ahead and intraday electricity spot markets and the daily and weekly tenders for frequency control reserves via the ancillary services market. Results show that the MES designed to achieve 80% decarbonization offers up to 15–45% of its available capacity as flexible reserves to the surrounding electricity grid after reserving 2–10% of its available capacity to mitigate the impact of forecast errors. Battery storage systems (BSS) and heat pumps (HPs) offer flexibility and revenues from flexible reserves provide economic benefits to operations. However, the revenues offered by current electricity markets are not attractive enough to incentivize the MES design. Short ancillary service delivery periods and attractive ancillary service remuneration rates combined with large BSS capacity and high decarbonization targets foster flexible reserves.

Numerical and Experimental Analysis of a Low-GWP Heat Pump Coupled to Electrical and Thermal Energy Storage to Increase the Share of Renewables across Europe

In order to reduce the dependence on fossil fuels in the residential sector, low-carbon-footprint technologies such as heat pumps should be used. To fully exploit solar-assisted heat pumps, an effective control strategy is required. This study employs a low-global-warming-potential (GWP) refrigerant for a water-to-water reversible heat pump, which is assisted by a thermal energy storage tank, photovoltaic (PV) installation, and battery storage system using a dedicated control strategy. The heat pump’s operation is validated against the experimental data. Simulations are carried out for three different climates to analyze the performance of reversible heat pumps across Europe. The reversible heat pump fully meets the summer cooling demand in all three climates, while the heating demand is covered with the help of a backup source. An economic analysis is carried out for three different PV sizes and the results are compared with the reference energy systems. The inclusion of a battery storage system results in high payback times but increases overall flexibility and self-sufficiency.

Short-term energy scenario of district energy system using optimised renewable energy mix with and without energy storage

The study proposes a multi-objective, multi-node optimisation model for the district energy system to achieve high renewable energy share by 2030. A combined analysis is conducted to reduce total system cost, carbon footprint; and satisfy inertia and flexibility requirements of integrated renewable energy system of the considered district. An hourly deterministic tool, Flextool, developed by IRENA, is used for analysis. Multiple scenarios are analysed to identify an optimal capacity expansion plan. The interaction between various energy generation units while meeting hourly energy demand is studied. The flexibility issues concerned with high VRE (Variable renewable energy) integration expected in the future energy grid are identified, and the effect of battery storage on curtailment is evaluated. The maximum VRE absorption capacity of the district is examined, and the shadow value is calculated for all considered scenarios. It is concluded that the district energy system could achieve 52% renewable energy share, zero loss of load and minimum curtailment in 2030 with adequate policy interventions. If the recommended investment pattern is followed, carbon intensity will reduce from 10.729 g/kWh to 6.70 g/kWh and 6.02 g/kWh without and with battery storage systems. The application of battery storage as a flexibility solution resulted in a significant reduction in curtailments. The study demonstrated that Flextool is a competent flexibility assessment tool which provides comprehensive support to optimise capacity expansion and system operations.

Optimal Power Flows Control for Home Energy Management With Renewable Energy and Energy Storage Systems

This article presents a home energy management system (HEMS) based on the proposed adaptive artificial bee colony (AABC) optimization method, of managing a residential microgrid connected to the main grid. The studied microgrid consists of a photovoltaic system (PVS), a battery storage system (BSS), and electricity loads. The proposed AABC-based HEMS optimizes power flow ratio among PVS, BSS, and the main grid with respect to the load demand and electricity rate in order to minimize electricity consumption cost. Three dc-dc converters are actively controlled with an active dual-loop control architecture to dominate the power distribution among multi-power sources. The performances of the proposed optimal power flows control (PFC) under different electricity load levels and PVS generation conditions are examined. In the PFC experiments, the designed HEMS is implemented on a digital signal processor. The experimental results demonstrate the effectiveness and superiority of the proposed AABC-based HEMS compared with the rule-based control strategy and the equivalent consumption minimization strategy in terms of electricity consumption cost.

An Enhancement of Power Quality With Efficient Active Power Transfer Capability in a PV–BSS-Fed UAPF for Microgrid Realization

This article investigates the enhancement of power quality with an efficient active power transfer capability in a universal active power filter (UAPF) integrated with a photovoltaic (PV) and battery storage system (BSS). The UAPF operates as a bidirectional interface between the PV–BSS and point of interconnection for microgrid realization. A new control strategy is proposed to extract fast and accurate voltage and current reference signals to operate the system in a desired manner. Here, the extraction of load voltages and calculation of load and reference powers are used to generate the reference signals, thereby comparing with actual signals with hysteresis controller to produce switching pulses of converters. As a result, the shunt and series converters form a robust system by acting as a current-controlled voltage source and voltage-controlled current source, respectively. It eliminates the need for adaptive filters and low-pass filters to extract the fundamental component of the load current. Furthermore, it increases the conversion efficiency of converters and improves the static and dynamic performance of the system. The proposed system is developed with a 1-kVA prototype laboratory setup using a field-programmable gate array controller and extensively tested with various test conditions such as grid voltage fluctuations, nonlinear and imbalanced load, and change in irradiance.

Peer-to-Peer Energy Trading for Residential Prosumers With Photovoltaic and Battery Storage Systems

The popularization of solar generation enables residential households to supply their loads and trade the surplus energy through residential peer-to-peer (P2P) energy trading market. Facing the increasing complexity of the market structure and decision-making strategies, this article proposes a P2P energy trading model for residential households, and the objective is to help the centralized market coordinator optimize the benefit of participants under such a P2P market. To this end, a new mathematical model, including the rules for buying and selling energy, is presented. In this model, a supply function bidding mechanism is formulated to match the power supply imbalance and calculate the market-clearing price. An optimization problem is formulated to identify the optimal strategies for energy buying and selling, which consists of two parts: the first part is to maximize the social welfare; the second part is to minimize the unfair benefit distribution that participants can gain through P2P energy trading. The case study based on the real data for four different household categories has revealed that households can achieve 26.38% net cost reduction, and the proposed fair benefit distribution function also can fairly allocate the benefit by enforcing households' benefit variance indexes at a low level.

Implementation of PV-Battery Storage-Wind Turbine-Load- on Grid System

The system is designed to promote the use of renewable energy sources and reduce dependence on non-renewable energy sources such as fossil fuels. The system comprises several components, including photovoltaic (PV) panels, wind turbines, battery storage, load management, and the main grid. The integration of these components provides a reliable and stable source of electricity for households and businesses, particularly in areas prone to power outages. The battery storage system helps to balance the intermittent nature of renewable energy sources, providing a more consistent supply of electricity. Additionally, this system can reduce the carbon footprint of the electricity generation process and contribute to mitigating the effects of climate change. Overall, the implementation of a PV-battery storage-wind turbine-load-main grid system has the potential to transform the way we generate and consume electricity, creating a more sustainable and resilient energy system for future generations.

The future technological potential of hydrogen fuel cell systems for aviation and preliminary co-design of a hybrid regional aircraft powertrain through a mathematical tool

The growing demand for air travel in the commercial sector leads to an increase in global emissions, whose mitigation entails transitioning from the current fossil-fuel based generation of aircrafts to a cleaner one within a short timeframe. The use of hydrogen and fuel cells has the potential to reach zero emissions in the aerospace sector, provided that required innovation and research efforts are substantially accomplished. Development programs, investments and new regulations are needed for this technology to be safe and economical. In this context, it makes sense to develop a model-based preliminary design methodology for a hybrid regional aircraft assisted by a battery hybridized fuel cell powertrain. The technological assumptions underlying the study refer to both current and expected data for 2035. The major contribution of the proposed methodology is to provide a mathematical tool that considers the interactions between the choice of components in terms of installed power and energy management. This simultaneous study is done because of the availability of versatile control maps. The tool was then deployed to define current and future technological scenarios for fuel cell, battery and hydrogen storage systems, by quickly adapting control strategies to different sizing criteria and technical specifications. In this way, it is possible to facilitate the estimation of the impact of different sizing criteria and technological features, at the aircraft level, on the onboard electrical system, the management of in-flight power, the propulsion methods, the impact of the masses on consumption and operational characteristics in a typical flight mission. The proposed combination of advanced sizing and energy management strategies allowed meeting mass and volume constraints with state-of-the-art PEM fuel cell and Li-ion battery specifications. Such a solution corresponds to a high degree of hybridization between the fuel cell system and battery pack (i.e., 300 kW and 750 kWh), whereas projected 2035 specs were demonstrated to help reduce mass and volume by 23 % and 40 %, respectively.

Assessment of Voltage Fluctuations for Battery Storage Systems Providing Frequency Response Services

This paper investigates voltage fluctuations caused by the operation of battery energy storage (BES) units which provide frequency response (FR) and fast frequency response (FFR) services using a test network based on a typical part of the United Kingdom (UK) mainland system. This paper provides an overview of current FR/FFR services currently used in the UK, and a summary of their typical modes of operation. Using DIgSILENT Powerfactory, the paper introduces a simple frequency disturbance generator to mimic typical frequency disturbances that would occur in the UK network, and then subsequently uses a representative test distribution network to show how voltage disturbances associated with BES units can develop across the electrical network. The paper provides a contribution to knowledge by creating a systematic approach for assessing voltage disturbance and flicker concerns for BES units on island networks, using a simple control algorithm and novel frequency disturbance generator.

Bi-Level Multi-Objective Planning Model of Solar PV - Battery Storage-Based Ders in Smart Grid Distribution System

The Bi-level Multi-Objective Planning Model of Solar PV-Battery Storage-Based DERS in Smart Grid Distribution System is a research paper that proposes a planning model for the implementation of distributed energy resources (DERs) in a smart grid distribution system. The model is designed to optimize the deployment of solar PV and battery storage systems in the grid, while taking into account various technical, economic, and environmental factors. The proposed planning model is based on a bi-level multi-objective optimization approach, which considers both the objectives of the utility and the objectives of the DER owners. The upper-level objective is to minimize the total cost of energy supply to the grid, while the lower-level objective is to maximize the revenue of the DER owners. The model is implemented using a genetic algorithm, which is used to search for the optimal solution.
 The model is also capable of considering the uncertainties associated with solar PV and battery storage systems, such as weather conditions and battery degradation. The results of the study show that the proposed planning model can effectively optimize the deployment of solar PV and battery storage systems in a smart grid distribution system. The model is also shown to be robust to various uncertainties associated with DERs, such as weather conditions and battery degradation. Overall, the proposed planning model provides a valuable tool for the implementation of distributed energy resources in a smart grid distribution system. By optimizing the deployment of DERs, the model can help to reduce the cost of energy supply, while also improving the reliability and environmental performance of the grid.
 This project describes the multi objective battery sizing and storage system for grid connected system using renewable energy solar and wind system.

Modern MultiPort Converter Technologies: A Systematic Review

The integration of renewable energy sources (RES) as distributed generation units to the power grid has been accelerated by the rising demand for energy and the growing concern over the environmental effects of conventional sources. At the same time, modern electric vehicles (EV) are demonstrating a promising ability to decrease the consumption of fossil fuels. The issues related to a combination of various renewable energy sources to fulfil the load requirements can be solved by the application of multi-input–output architecture that is properly designed. In order to increase the driving range of EVs, several energy sources, including ultracapacitors and fuel cells, should be connected and operate in combination with a battery storage system. To manage these energy sources with various voltage-current characteristics, the same concept can be applied. The current trends in the field of multiport DC-DC converters are identified and examined in this research. This paper proposes a review and analysis of the most significant aspects of multiport converters, such as types based on various characteristics, their topologies, the benefits and drawbacks, and areas of application. A thorough investigation of multiport converters’ design guidelines and selection process for specific applications is presented. Based on their properties, multiport converters are categorized in this review. In comparison with other available review publications, this paper is more concise and mainly focused on the most general and important aspects of multiport technologies. Based on the provided information, the reader can discern modern trends and directions of the multiport converter development.

MXene derivative Ta4C3-Ta2O5 heterostructure as bi-functional barrier for Li-S batteries

The shuttle effect of polysulfides during the charging and discharging of lithium-sulfur (Li-S) batteries and the growth of Li dendrites are crucial obstacles to hinder the commercialization of Li-S batteries. Heterostructure engineering is an effective strategy to accelerate catalytic conversion and suppress the dissolution of polysulfides. Herein, we report a Ta4C3-Ta2O5 heterostructure composite as a bi-functional modified separator that not only achieves effective protection for lithium metal but also accelerates the polysulfides redox kinetics process. This heterostructure possesses efficient chemical anchoring and abundant active sites to immobilize polysulfides by synergistic effect, which endows a stable long cycling performance for Li-S batteries. This corresponds to an initial high capacity of 801.9 mAh g–1 at 1 C with a decay rate of 0.086% for 500 cycles. Due to its high Young's modulus (up to 384 GPa), Ta4C3 contributes to forming a protective layer on the Li metal surface to inhibit the growth of Li dendrites. Accordingly, the symmetrical cell has a stable overpotential for 700 cycles at 20 mA cm–2/20 mAh cm–2. So, this “one stone two birds” design affords a novel perspective for high-energy Li-S battery storage system design and Li metal protection.

Artificial Intelligence-Machine Learning Algorithms for the Simulation of Combustion Thermal Analysis

With the advances in big-data science and the availability of emerging high-end computing powers such as the GPUs and cloud computing infrastructures, Artificial intelligence (AI)-Machine learning (ML)/Deep learning (DL) methods are increasingly being used for predictive analysis and design analysis of various complex engineering problems. ML/DL models are developed for various classes of problems involving large nonlinear parameters from energy usage patterns in power distributions including renewable power sources; building energy consumption; and management to improve energy consumption and efficiency to optimized design and predictive analysis of thermal heat management systems in electronics and battery storage systems. The objective of this article is to explore the development of an AI/ML model for studying predictive and design analysis of an internal combustion engine as an alternative to high fidelity computation fluid dynamic model. ML-artificial neural network (ANN) algorithm is considered for characterizing and predicting the combustion process through the use of historical performance data produced by a computational model involving complex multiphysics flow dynamics, heat transfer, and chemical kinetics. A number of key ANN parameters such as the number of hidden layers, number of neurons, and activation functions are numerically experimented to achieve an acceptable level of prediction accuracy through minimizing the training and validation losses.

Ideal parameter distribution in renewable integrated rapid charging electric vehicle station

ABSTRACT In this paper, we provide extensive modeling of fast-charging electric vehicle stations (FCEVS) allied to a grid integrated renewable energy sources (RES like hydro and solar) system considering an electric vehicle (EV) demand characteristics, state of charge (SOC), battery ratings, arrival, and departure time. This aids in maximizing the revenue and lowering the grid energy utilization. Investigations are carried with a novel meta-heuristic technique known as the emperor penguin optimization (EPO) algorithm, which is utilized to optimize the FCEVS parameters and maximize net present value (NPV). The investigations wih EPO has shown significant improvent of 1% with particle swarm optimization (PSO) and 1.25% with crow search algorithm (CSA). Also, studies are carried using a probabilistic demand distribution based on EV behaviors considering a sequential Monte-Carlo approach with hourly intervals. The acquired economic deliberations with EPO algorithm are compared with PSO, CSA, and EPO extracts maximum revenue. Simulations with FCEVS fed by grid, RES, and hybrid grid-RES reveal that FCEVS fed by hybrid grid-RES extracts the highest NPV. Further, 78.09% increase in NPV is observed with RES feeds the Grid over Grid feeds FCEVS alone, 25.23% hike of NPV is observed with both RES and battery storage system (BSS) over RES system, 10.56% increase with considering EVs arrival time and 2.3% increase with considering flow of EVs. Further, simulations with detailed modeling of FCEVS enhance NPV values over the hybrid grid-RES system.

Decentral Production of Green Hydrogen for Energy Systems: An Economically and Environmentally Viable Solution for Surplus Self-Generated Energy in Manufacturing Companies?

Power-to-X processes where renewable energy is converted into storable liquids or gases are considered to be one of the key approaches for decarbonizing energy systems and compensating for the volatility involved in generating electricity from renewable sources. In this context, the production of “green” hydrogen and hydrogen-based derivatives is being discussed and tested as a possible solution for the energy-intensive industry sector in particular. Given the sharp, ongoing increases in electricity and gas prices and the need for sustainable energy supplies in production systems, non-energy-intensive companies should also be taken into account when considering possible utilization paths for hydrogen. This work focuses on the following three utilization paths: “hydrogen as an energy storage system that can be reconverted into electricity”, “hydrogen mobility” for company vehicles and “direct hydrogen use”. These three paths are developed, modeled, simulated, and subsequently evaluated in terms of economic and environmental viability. Different photovoltaic system configurations are set up for the tests with nominal power ratings ranging from 300 kWp to 1000 kWp. Each system is assigned an electrolyzer with a power output ranging between 200 kW and 700 kW and a fuel cell with a power output ranging between 5 kW and 75 kW. There are also additional variations in relation to the battery storage systems within these basic configurations. Furthermore, a reference variant without battery storage and hydrogen technologies is simulated for each photovoltaic system size. This means that there are ultimately 16 variants to be simulated for each utilization path. The results show that these utilization paths already constitute a reasonable alternative to fossil fuels in terms of costs in variants with a suitable energy system design. For the “hydrogen as an energy storage system” path, electricity production costs of between 43 and 79 ct/kWh can be achieved with the 750 kWp photovoltaic system. The “hydrogen mobility” is associated with costs of 12 to 15 ct/km, while the “direct hydrogen use” path resulted in costs of 8.2 €/kg. Environmental benefits are achieved in all three paths by replacing the German electricity mix with renewable energy sources produced on site or by substituting hydrogen for fossil fuels. The results confirm that using hydrogen as a storage medium in manufacturing companies could be economically and environmentally viable. These results also form the basis for further studies, e.g., on detailed operating strategies for hydrogen technologies in scenarios involving a combination of multiple utilization paths. The work also presents the simulation-based method developed in this project, which can be transferred to comparable applications in further studies.

Adaptive Controller for Bus Voltage Regulation on a DC Microgrid Using a Sepic/Zeta Battery Charger/Discharger

In a DC microgrid that involves a battery storage system, the primary energy management is performed by a battery charger/discharger based on a dc/dc power converter. Moreover, the battery charger/discharger is also used to regulate the voltage of the dc bus. One of the challenges at the control level is to regulate the DC bus voltage under battery charge and discharge conditions but also under different relations between the battery and bus voltages. For this reason, this paper proposes a battery charger/discharger based on the Sepic/Zeta converter and an adaptive controller, which provides bidirectional current flow, stable bus voltage, and satisfactory electrical characteristics. The main advantage of the proposed control system is the capability to adapt the controller parameters to any operation condition, which provides a general solution to interface any battery to any bus voltage. This study is focused on the design procedure of both the power converter and the controller, where a detailed mathematical analysis is performed to ensure the system performance and stability. Finally, the proposed solution is validated using an experimental prototype and a practical application case.