Article
Thermodynamics
Adel Merabet, Ahmed Al-Durra, Ehab F. El-Saadany
Summary: The paper introduces an improved energy management system to reduce energy costs and increase battery lifespan in a hybrid solar and wind microgrid. By analyzing different contribution factor profiles and implementing load shifting mechanism, the system shows superiority in reducing costs and improving battery degradation compared to conventional systems. Linear contribution factor and load shifting result in daily costs of $68.27 for energy and $0.81 for degradation, representing significant decreases compared to traditional systems.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Energy & Fuels
Hui Hwang Goh, Shuaiwei Shi, Xue Liang, Dongdong Zhang, Wei Dai, Hui Liu, Shen Yuong Wong, Tonni Agustiono Kurniawan, Kai Chen Goh, Chin Leei Cham
Summary: This paper proposes a multi-stage methodology to optimize the energy management problem of microgrids considering the uncertainty of carbon trading market and demand side response. The scenario analysis method is used to tackle the uncertainty of renewable energy, and the characteristics of different load types are analyzed. The quantum particle swarm optimization algorithm is utilized to obtain the optimal solution. The results show that carbon trading market policy contributes to the reduction of carbon emissions and fossil fuel consumption, and a high load participation rate in demand side response can improve the operational economics of microgrids.
Article
Green & Sustainable Science & Technology
Maya Vijayan, Ramanjaneya Reddy Udumula, Tarkeshwar Mahto, Bhamidi Lokeshgupta, B. Srikanth Goud, Ch Naga Sai Kalyan, Praveen Kumar Balachandran, C. Dhanamjayulu, Sanjeevikumar Padmanaban, Bhekisipho Twala
Summary: The availability of renewable energy sources is unpredictable and requires effective management for better utilization. Hybrid energy storage systems play a vital role in a DC microgrid environment. This paper proposes an optimal PI-controller-based hybrid energy storage system for effective utilization of renewable power.
Article
Thermodynamics
Seydali Ferahtia, Ali Djeroui, Hegazy Rezk, Azeddine Houari, Samir Zeghlache, Mohamed Machmoum
Summary: This paper introduces an optimal energy management strategy for DC microgrid based on salp swarm algorithm, which addresses various techno-economic challenges associated with integrating multiple power sources and demonstrates superior system efficiency, fuel saving, and power quality.
Article
Energy & Fuels
Zhenyu Zhang, Xiaoqing Cheng, Zongyi Xing, Zihao Wang, Yong Qin
Summary: This study developed an optimal sizing method for battery-supercapacitor energy storage systems in trams based on a constant power threshold. The method was validated using the Guangzhou Haizhu tram, and the results demonstrated that the optimized hybrid energy storage system had advantages in reducing size, mass, cost, and utilizing the charging and discharging capacity of the energy storage elements.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Computer Science, Information Systems
Mohammadreza Gholami, Soad Abokhamis Mousavi, S. M. Muyeen
Summary: This study aims to improve the reliability of microgrids by finding the optimal size and type of battery energy storage systems (BESSs). Various factors of the BESS, such as rated power, power cost, discharge time, efficiency, and life cycle, as well as power exchange limitations with the main grid, are considered. The results show that utilizing BESS can significantly improve the expected energy not supplied (EENS) of both islanded and grid-connected microgrids with power exchange limitations.
Article
Energy & Fuels
Saeid Ahmadi, Marcos Tostado-Veliz, Ali Asghar Ghadimi, Mohammad Reza Miveh, Francisco Jurado
Summary: Microgrids serve as an important framework for integrating renewable energy sources and demand response programs. The deployment of energy storage facilities and the use of hybrid storage systems can lead to more efficient management. Coping with uncertainties and properly modeling them is crucial for the operation of microgrids.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Energy & Fuels
R. Seshu Kumar, L. Phani Raghav, D. Koteswara Raju, Arvind R. Singh
Summary: This paper proposes a three-stage stochastic EMS framework to address operational cost optimization in MG, creating solar and wind power generation profiles under uncertainties, establishing MG system configuration and operational constraints, and using quantum particle swarm optimization to achieve optimal power dispatch configuration.
Article
Chemistry, Multidisciplinary
Selahattin Garip, Saban Ozdemir
Summary: This paper proposes a new method to determine the optimal size of a photovoltaic and battery energy storage system. It utilizes energy management and particle swarm optimization algorithm to minimize the total cost. The effectiveness of the method is compared with genetic algorithm, showing its superiority.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Information Systems
Natsawat Pompern, Suttichai Premrudeepreechacharn, Apirat Siritaratiwat, Sirote Khunkitti
Summary: This research proposes the optimal placement and capacity of BESS in distribution networks with PV and EVs. The objective is to minimize system costs, including installation, replacement, and operation and maintenance costs. Three metaheuristic algorithms, PSO, AVOA, and SSA, are employed to solve the problem. The approach is evaluated on IEEE 33- and 69-bus distribution systems integrated with PV and EVs, comparing the results in terms of objective function, system efficiency enhancement, payback period, and statistical analysis. Simulation results show that PSO provides the best objective values and AVOA achieves the fastest payback periods in both systems.
Article
Thermodynamics
Angel Xin Yee Mah, Wai Shin Ho, Mimi H. Hassim, Haslenda Hashim, Gabriel Hoh Teck Ling, Chin Siong Ho, Zarina Ab Muis
Summary: This study investigates the design and operation optimization framework for integrating electricity and hydrogen supply systems in a standalone microgrid, proposing two energy management strategies. A case study demonstrates the optimal microgrid design and sensitivity analysis results, showing potential for significant cost reduction by targeting only 95% of loads.
Article
Computer Science, Artificial Intelligence
Manisha Malik, P. R. Sharma
Summary: This paper proposes an approach to appropriately place and size a battery energy storage system in a distribution network with hybrid energy sources to mitigate the impact of HES variations on power generation reliability and quality. By considering the daily cost incurred by the distribution network due to voltage deviation, power losses, and peak demands, the ideal location and size of the BESS are determined.
Article
Energy & Fuels
V. Arun Kumar, Ashu Verma
Summary: Increased energy demand and fossil fuel scarcity have raised concerns about basic energy security, shifting focus to renewable energy. Utilizing energy storage in multi-generation systems can help smooth intermittent generation and stabilize net load variations.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Energy & Fuels
Mahmoud M. Mohamed, Helmy M. El Zoghby, Soliman M. Sharaf, Magdi A. Mosa
Summary: This paper investigates the stability of microgrids and proposes a hybrid energy storage system with virtual synchronous generator control. The optimal virtual synchronous generator controller is designed using particle swarm optimization, and the system performance is evaluated through various disturbances experiments.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Chukwuemeka Emmanuel Okafor, Komla Agbenyo Folly
Summary: In this paper, a strategy is proposed to optimize the placement of a BESS in a power system network for frequency support during contingencies. Different optimization solvers were used to compare and choose the minimum RoCoF value. The proposed methodology was tested on two network models and showed significant improvement.
