Jingshuai Pang^1,2, Songcen Wang¹, Hongyin Chen^1,2,*, Xiaoqiang Jia¹, Yi Guo¹, Ling Cheng¹, Xinhe Zhang¹, Jianfeng Li¹

Energy Engineering, Vol.123, No.1, 2026, DOI:10.32604/ee.2025.070256 - 27 December 2025

Abstract To achieve the goals of sustainable development of the energy system and the construction of a low-carbon society, this study proposes a multi-energy storage collaborative optimization strategy for industrial park that integrates the laddered carbon trading mechanism with demand response. Firstly, a dual dimensional DR model is constructed based on the characteristics of load elasticity. The alternative DR enables flexible substitution of energy loads through complementary conversion of electricity/heat/cold multi-energy sources, while the price DR relies on time-of-use electricity price signals to guide load spatiotemporal migration; Secondly, the LCT mechanism is introduced to achieve optimal… More >

Fan Chen^*, Tianhui Zhang, Man Wang, Zhiheng Zhuang, Qiang Zhang, Zihan Ma

Energy Engineering, Vol.122, No.10, pp. 4099-4120, 2025, DOI:10.32604/ee.2025.069346 - 30 September 2025

Abstract The configuration of a hybrid energy storage system (HESS) plays a pivotal role in mitigating wind power fluctuations and enabling primary frequency regulation, thereby enhancing the active power support capability of wind power integration systems. However, most existing studies on HESS capacity configuration overlook the self-recovery control of the state of charge (SOC), creating challenges in sustaining capacity during long-term operation. This omission can impair frequency regulation performance, increase capacity requirements, and shorten battery lifespan. To address these challenges, this study proposes a bi-level planning–operation capacity configuration model that explicitly incorporates SOC self-recovery control. In… More >

Chuan Yuan¹, Chang Liu^2,3, Shijun Chen¹, Weiting Xu^2,3, Jing Gou¹, Ke Xu^2,3, Zhengbo Li^4,*, Youbo Liu⁴

Energy Engineering, Vol.122, No.9, pp. 3573-3593, 2025, DOI:10.32604/ee.2025.067785 - 26 August 2025

Abstract The increasing penetration of second-life battery energy storage systems (SLBESS) in power grids presents substantial challenges to system operation and control due to the heterogeneous characteristics and uncertain degradation patterns of repurposed batteries. This paper presents a novel model-free adaptive voltage control-embedded dung beetle-inspired heuristic optimization algorithm for optimal SLBESS capacity configuration and power dispatch. To simultaneously address the computational complexity and ensure system stability, this paper develops a comprehensive bilevel optimization framework. At the upper level, a dung beetle optimization algorithm determines the optimal SLBESS capacity configuration by minimizing total lifecycle costs while incorporating… More >

Caifeng Wen¹, Feifei Xue^1,*, Hongliang Hao², Edwin E. Nyakilla², Ning Yang^1,*, Yongsheng Wang³, Yuwen Zhang²

Energy Engineering, Vol.122, No.4, pp. 1511-1529, 2025, DOI:10.32604/ee.2025.060810 - 31 March 2025

Abstract This paper presents a new capacity planning method that utilizes the complementary characteristics of wind and solar power output. It addresses the limitations of relying on a single metric for a comprehensive assessment of complementarity. To enable more accurate predictions of the optimal wind-solar ratio, a comprehensive complementarity rate is proposed, which allows for the optimization of wind-solar capacity based on this measure. Initially, the Clayton Copula function is employed to create a joint probability distribution model for wind and solar power, enabling the calculation of the comprehensive complementarity rate. Following this, a joint planning… More >

Hongliang Hao¹, Caifeng Wen^2,3, Feifei Xue^2,*, Hao Qiu¹, Ning Yang², Yuwen Zhang¹, Chaoyu Wang¹, Edwin E. Nyakilla¹

Energy Engineering, Vol.122, No.1, pp. 285-306, 2025, DOI:10.32604/ee.2024.057720 - 27 December 2024

Abstract Present of wind power is sporadically and cannot be utilized as the only fundamental load of energy sources. This paper proposes a wind-solar hybrid energy storage system (HESS) to ensure a stable supply grid for a longer period. A multi-objective genetic algorithm (MOGA) and state of charge (SOC) region division for the batteries are introduced to solve the objective function and configuration of the system capacity, respectively. MATLAB/Simulink was used for simulation test. The optimization results show that for a 0.5 MW wind power and 0.5 MW photovoltaic system, with a combination of a 300 More >

Mingxing Tian^*, Weiyuan Zhang, Zhaoxu Su

Energy Engineering, Vol.122, No.1, pp. 307-329, 2025, DOI:10.32604/ee.2024.057426 - 27 December 2024

Abstract In the context of the “dual carbon” goals, to address issues such as high energy consumption, high costs, and low power quality in the rapid development of electrified railways, this study focused on the China Railways High-Speed 5 Electric Multiple Unit and proposed a mathematical model and capacity optimization method for an on-board energy storage system using lithium batteries and supercapacitors as storage media. Firstly, considering the electrical characteristics, weight, and volume of the storage media, a mathematical model of the energy storage system was established. Secondly, to tackle problems related to energy consumption and… More >

Fuyin Ni^1,2, Kai Li^2,*

Energy Engineering, Vol.120, No.5, pp. 1203-1221, 2023, DOI:10.32604/ee.2023.025796 - 20 February 2023

Abstract Unified power quality conditioner (UPQC) with energy storage is commonly based on conventional capacity configuration strategy with power angle control. It has problems such as phase jumping before and after compensation. DC-link cannot continuously emit active power externally. Therefore, this paper presents the compensation strategy of full load voltage magnitude and phase in capacity configuration of UPQC. The topology of UPQC is integrated a series active power filter (SAPF), a shunt active power filter (PAPF) and a photovoltaic-battery energy storage system (PV-BESS). The principle of full load voltage compensation is analyzed based on the PV-BESS-UPQC… More > Graphic Abstract

Jiulong Sun¹, Yanbo Che^1,*, Ting Yang¹, Jian Zhang², Yibin Cai¹

Energy Engineering, Vol.120, No.2, pp. 367-384, 2023, DOI:10.32604/ee.2023.023661 - 29 November 2022

Abstract As the number of electric vehicles (EVs) continues to grow and the demand for charging infrastructure is also increasing, how to improve the charging infrastructure has become a bottleneck restricting the development of EVs. In other words, reasonably planning the location and capacity of charging stations is important for development of the EV industry and the safe and stable operation of the power system. Considering the construction and maintenance of the charging station, the distribution network loss of the charging station, and the economic loss on the user side of the EV, this paper takes… More > Graphic Abstract

Yi Liang^1,*, Shaokang Zeng¹, Xiaoxian Xu², Shilu Chang¹, Xing Su¹

CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1697-1717, 2021, DOI:10.32604/cmc.2020.012513 - 26 November 2020

Abstract Spark is the most popular in-memory processing framework for big data analytics. Memory is the crucial resource for workloads to achieve performance acceleration on Spark. The extant memory capacity configuration approach in Spark is to statically configure the memory capacity for workloads based on user’s specifications. However, without the deep knowledge of the workload’s system-level characteristics, users in practice often conservatively overestimate the memory utilizations of their workloads and require resource manager to grant more memory share than that they actually need, which leads to the severe waste of memory resources. To address the above… More >