Article
Engineering, Multidisciplinary
Jianzhou Feng, Zechun Hu, Xiaoyu Duan
Summary: This paper proposes an integrated procedure for optimizing the integration of photovoltaic and energy storage systems with fast charging stations in urban areas. The study considers competitors, users' decision-making psychology, and uncertainties in charging demand and photovoltaic power output. Using the proposed solution algorithm, a multi-scenario benefit maximization model is established from the perspective of the charging service provider, and a distributionally robust optimization planning model is formulated to determine the capacities of photovoltaic and energy storage systems. Simulation results demonstrate the effectiveness of the method.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2023)
Article
Energy & Fuels
Leon Fidele Nishimwe H., Sung-Guk Yoon
Summary: This paper presents an optimization framework for profit maximization in electric vehicle charging stations, considering vehicle arrival patterns, intermittent solar photovoltaic generation, and energy storage system management. The framework determines optimal configurations and power schedules to maximize profit, taking into account various costs and penalties associated with customer dissatisfaction. The simulation results show that optimal configurations differ based on environmental factors and demonstrate the effectiveness of solar photovoltaic and energy storage systems.
Article
Thermodynamics
Ibrahim Anwar Ibrahim, Slaiman Sabah, Robert Abbas, M. J. Hossain, Hani Fahed
Summary: The study proposes a new multi-objective wind-driven optimization algorithm to size components of a standalone photovoltaic system for a mobile network base station, ensuring minimal annual total life cost. By utilizing a long short-term memory deep learning model and comparing its performance with linear and artificial neural network models, the study demonstrates improved accuracy in sizing models. The findings show that the long short-term memory model outperforms other models, providing optimal sizing results for the photovoltaic array and storage battery capacity for the mobile network base station under Sydney weather conditions.
ENERGY CONVERSION AND MANAGEMENT
(2021)
Article
Engineering, Electrical & Electronic
Vandana Jain, Bhim Singh, Seema
Summary: This work presents a charging station with a battery energy storage (BES) system, which enhances the power quality of the grid. The positive sequence components of the grid voltages are evaluated to estimate the unit templates and reference grid currents. The electric vehicle (EV) and BES are connected through a bidirectional buck-boost converter, allowing the EV to take power from the solar array during the daytime and from the grid when the solar power is unavailable. Tests conducted on a hardware prototype demonstrate the satisfactory response of the system under different dynamics conditions.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Green & Sustainable Science & Technology
Feras Alasali, Mohammad Salameh, Ali Semrin, Khaled Nusair, Naser El-Naily, William Holderbaum
Summary: The optimal integration of PV and ESS systems is of great significance for improving the reliability of the distribution network in Jordan. This study investigates the economic and energy performance of the network under different optimization algorithms and power network operation scenarios using metaheuristic optimization algorithms.
Article
Energy & Fuels
Michal Jasinski, Arsalan Najafi, Tomasz Sikorski, Pawel Kostyla, Jacek Rezmer
Summary: This article presents an idea of implementing different real load profiles for the operation of an energy storage system (ESS). The approaches considered include real measurements, adaptation of standard profiles, and a mix of contracted power and short-term measurements. The GAMS solver is used to obtain optimal operation tasks for the ESS, based on real and pseudo-real load profiles. Results of a case study on a metallurgy company with a 317 kWp PV installation and a 200 kW ESS are presented.
Article
Energy & Fuels
Jiahua Ni, Ji Xiang
Summary: The idea of perturbation and observation is widely used in PV power regulation strategies. This paper presents a concise PV control method based on spatial-domain dp/dv calculation, which avoids the trade-off problem in the conventional Perturb and Observe (P&O) algorithm. The proposed method achieves oscillation-free steady-state and fast dynamic tracking speed, and incorporates both MPPT and power reserved modes.
IEEE TRANSACTIONS ON ENERGY CONVERSION
(2023)
Article
Computer Science, Information Systems
Kiraseya Preusser, Anke Schmeink
Summary: Microgrids are an effective solution for decentralizing electrical grids and improving the utilization of distributed energy resources. This paper introduces two novel microgrid models that integrate distributed energy, energy storage systems, electric vehicle charging stations, and electricity trading with the main power grid. The models successfully address the challenge of balancing charging demands and grid load, resulting in a self-sustaining and profitable microgrid.
Article
Thermodynamics
Md Masud Rana, Mohd Fakhizan Romlie, Mohd Faris Abdullah, Moslem Uddin, Md Rasel Sarkar
Summary: A novel peak load shaving algorithm is proposed for hybrid PV-BESS connected Isolated Microgrid (IMG) system, which has been tested and evaluated with actual load data and PV generation data. The algorithm is proven effective in optimizing the operation of generation systems and economically utilizing the PV generation unit, providing peak shaving service as a simple and effective solution.
Article
Energy & Fuels
Sheng Li, Can Zhang, Jili Zuo
Summary: The influence of stochastic and uncertain photovoltaic (PV) output on the voltage stability of grid-connected systems needs further exploration. This study investigates the long-term voltage stability of a 3-bus system with a large-scale PV power station, considering the adjustment of an on-load tap changer (OLTC). The results show that the adjustment of OLTC can effectively prevent long-term voltage oscillation instability and collapse, enabling PV power to play a bigger role in power systems.
Article
Engineering, Electrical & Electronic
S. Rami Reddy, Saroj Kumar Sarangi
Summary: In the current scenario, renewable energy sources are being utilized in transport applications to reduce dependence on fossil fuels. Electric vehicles have played a crucial role in smart grids, leading to an increase in battery connected EVs due to various benefits. Thus, the development of an optimum charging controller for charging stations becomes necessary to meet the energy demand.
INTERNATIONAL JOURNAL OF ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Joon-Ho Son, Mi-Young Kim
Summary: This study proposes an ESS discharging scheduling for photovoltaic power plants that can respond to seasonal peak demand. By introducing incentives, considering irregular photovoltaic power output, and applying clustering and scenario techniques, the scheduling aims to maximize the daily total benefit.
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
(2023)
Article
Energy & Fuels
Suellen C. S. Costa, Lawrence L. Kazmerski, Antonia Sonia A. C. Diniz
Summary: Soiling on PV modules can decrease solar resource and power generation, especially in regions with arid climates. Early evaluation of environmental factors is beneficial for PV installations, and determining soiling rates post-commissioning can optimize maintenance. Research has shown that determining local soiling losses is crucial for efficient PV system operation.
IEEE JOURNAL OF PHOTOVOLTAICS
(2021)
Article
Energy & Fuels
Jayaprakash Suvvala, Kannaiah Sathish Kumar
Summary: Electric vehicles (EVs) are increasingly important in achieving sustainable energy standards. However, the popularization of EVs requires widespread charging stations, which may cause overload and voltage issues in the electrical system. This research proposes a multi-port DC-DC converter for battery ESS-integrated PV systems, which can regulate power between PV, battery, EV charging stations, and the AC grid, taking into account voltage variations. This configuration offers greater integration, higher efficiency, and reduced cost.
Article
Automation & Control Systems
Jianwei Li, Shucheng He, Qingqing Yang, Tianyi Ma, Zhongbao Wei
Summary: This article proposes a multi-objective sizing method that integrates retired batteries and photovoltaic solar energy in electric vehicle charging stations to address uncertainty in charging demand. The method utilizes the non-dominated sorting genetic algorithm II (NSGA-II) to minimize renewable energy waste, energy purchased from the grid, and the cost over a 20-year period. The article also predicts the remaining life of retired batteries using a calendar-life degradation model and incorporates different charging patterns to model charging demand uncertainty in different EVCS scenarios. Case studies using real-world data demonstrate a 29.4% cost reduction in long-term operation with the proposed sizing method and retired batteries.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
