Article
Engineering, Electrical & Electronic
Faisal Mehmood, Bilal Khan, S. M. Ali
Summary: This work addresses the control challenges of Frequency Regulation (FR) and Economic Dispatch (ED) in autonomous Microgrid (MG) with distributed Renewable Energy Agents (REA). A Distributed SMC based secondary control is proposed to fulfill the control requirements of MG, enabling control on generic network topologies with unknown parameters. The proposed control technique successfully achieves constrained Economic Dispatch for renewable agents with non-uniform and volatile production capacities.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Energy & Fuels
Xin Qin, Xinwei Shen, Ye Guo, Zhaoguang Pan, Qinglai Guo, Hongbin Sun
Summary: This paper introduces three open-source testbeds of different scales based on practical combined electric and heat systems, and discusses how to modify testbeds based on existing topologies and data. Researchers can use the testbeds for power flow analysis and economic dispatch research.
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
(2021)
Article
Computer Science, Information Systems
Jinhao Wang, Junliu Zhang, Zhaoguang Pan, Huaichang Ge, Xiao Chang, Bin Wang, Shengwen Li, Haotian Zhao
Summary: This paper proposes a robust interval optimization method to address the challenges associated with wind power integration and enhance the flexibility of a power system. By introducing flexibility resources from a district heating system, the method provides a reliable dispatch plan that can accommodate uncertainties and fluctuations in wind power generation. Case studies demonstrate that the proposed approach effectively enhances the integration of wind power and improves the overall reliability and flexibility of the energy system.
Article
Green & Sustainable Science & Technology
Samuel Andres Gil Ruiz, Julio Eduardo Canon Barriga, J. Alejandro Martinez
Summary: This study provides a unique characterization of wind resources in the Colombian Caribbean region, identifying multiple locations with commercial wind potential and offering reliable information, with impressive annual energy production and capacity factors.
Article
Energy & Fuels
Muwaffaq Alomoush
Summary: This research focuses on solving the biobjective dynamic dispatch problem in a microgrid, aiming to reduce operating costs and control emissions. By utilizing the BSDE algorithm, the study investigates the impact of price-based energy storage and exchanges on microgrid operation costs, and proposes a method to achieve the best compromise solution.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2021)
Article
Energy & Fuels
Tianmin Zhou, Jiamin Chen, Xuancong Xu, Zuhong Ou, Hao Yin, Jianqiang Luo, Anbo Meng
Summary: This paper proposes a novel hybrid neighboring topology based multi-agent crisscross algorithm (HNT-MACSO) to address the slow convergence speed of the global optimum in large-scale CHPED problems.
Article
Green & Sustainable Science & Technology
Fabio Sandro dos Santos, Kerolly Kedma Felix do Nascimento, Jader da Silva Jale, SilvioFernando Alves Xavier Junior, Tiago A. E. Ferreira
Summary: With increasing concerns about the greenhouse effect and carbon dioxide levels, it is necessary to curtail the use of fossil fuels. In this study, a Weibull-Weibull distribution mixture was applied to adjust wind speed data from 575 weather stations, and wind energy generation was predicted. The model performed well and provided suitable fits for different regions in Brazil.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Engineering, Industrial
Qiangda Yang, Hongbo Gao, Ning Dong, Peng Liu
Summary: This article proposes a new variant of cuckoo search algorithm, elitist CS (yECS), to solve the CHPED problem. By introducing the elitist mechanism and coordinated mechanism, yECS achieves good performance in both global search and local search phases. Through tests and case studies, the yECS algorithm achieves feasible optimal dispatch results for CHPED problems, and shows significant improvements over other CS variants and recent literature results.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Thermodynamics
Attoti Bharath Krishna, Abhijit R. Abhyankar
Summary: This paper proposes a new and efficient data-driven temporal wind power scenario generation framework using regular vine copula with variance reduction. This framework improves the quality of temporal scenarios by introducing the regular vine copula to model the temporal dependence structure and proposing a uniform design-based vine copula sampling algorithm. The proposed scenario generation method outperforms existing benchmarks according to a detailed multivariate scenario evaluation using multiple metrics and the Diebold-Mariano statistical test.
Article
Energy & Fuels
Qiangda Yang, Peng Liu, Jie Zhang, Ning Dong
Summary: In this paper, an adaptive cuckoo search with differential evolution mutation (ACS-DEM) method is proposed for solving the CHPED problem, demonstrating outstanding performance in experiments. Compared with other algorithms, ACS-DEM outperforms in obtaining dispatch schedules without parameter adjustment and with enhanced exploration and exploitation capabilities.
Article
Energy & Fuels
Dexuan Zou, Dunwei Gong, Haibin Ouyang
Summary: This article proposes a global nondominated sorting genetic algorithm II (GNSGA-II) for optimizing the economic emission dispatch problem in combined heat and power systems with renewable energies. It also introduces a constraint handling approach to satisfy all constraints.
Article
Energy & Fuels
Giovanna Cavazzini, Alberto Benato, Giorgio Pavesi, Guido Ardizzon
Summary: Wind and solar energy are renewable sources with great potential but require energy storage solutions to address supply-demand mismatches. The hybridization of seawater PHES with a wind farm can improve revenue and resolve imbalances in power generation.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Engineering, Electrical & Electronic
Teng Zhao, Yanan Zheng, Gengyin Li
Summary: This study focuses on the low-carbon development of a power system through the heat-power decoupling (HPD) of combined heat and power (CHP) units. It proposes a detailed HPD model and simulation method for unit commitment and economic dispatch (UCED) of CHP system considering HPD. The results show that HPD retrofit has significant benefits in reducing dispatch costs, enhancing units' flexibility, and promoting wind and solar energy consumption.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2022)
Article
Green & Sustainable Science & Technology
Shuwei Xu, Wenchuan Wu, Yue Yang, Chenhui Lin, Yingshang Liu
Summary: This article proposes a chance-constrained economic dispatch model for optimal wind curtailment and load shedding schemes, addressing the infeasibility issues of conventional models. The proposed method converts complex chance constraints into deterministic inequalities and utilizes a two-layer iterative algorithm based on the generalized Benders decomposition framework for efficient solution.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
(2023)
Article
Engineering, Electrical & Electronic
Muhammad Numan, Donghan Feng, Farukh Abbas, Salman Habib, Su Hao
Summary: This paper discusses how to utilize Dynamic Line Rating (DLR) and Optimal Transmission Switching (OTS) technologies to better utilize flexibility in the power system, relieving system congestion, reducing system operating costs, and deepening the integration of renewable energy sources.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Wandry R. Faria, Gregorio Munoz-Delgado, Javier Contreras, Benvindo R. Pereira Jr
Summary: This paper proposes a new bilevel mathematical model for competitive electricity markets, taking into account the participation of distribution systems operators. A new pricing method is introduced as an alternative to the inaccessible dual variables of the transmission system.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Chao Zhang, Liwei Zhang, Dong Wang, Kaiyuan Lu
Summary: The load disturbance rejection ability of electrical machine systems is crucial in many applications. Existing studies mainly focus on improving disturbance observers, but the speed response control during the transient also plays a significant role. This paper proposes a sliding mode disturbance observer-based load disturbance rejection control with an adaptive filter and a Smith predictor-based speed filter delay compensator to enhance the transient speed response.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Arif Hussain, Arif Mehdi, Chul-Hwan Kim
Summary: The proposed scheme in this research paper is a communication-less islanding detection system based on recurrent neural network (RNN) for hybrid distributed generator (DG) systems. The scheme demonstrates good performance in feature extraction, feature selection, and islanding detection, and it also performs effectively in noisy environments.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Zonghui Sun, Xizheng Guo, Shinan Wang, Xiaojie You
Summary: This paper presents a status pre-matching method (SPM) that eliminates the iterative calculations for resistance switch model, and simulates all operation modes of PECs through a more convenient approach. Furthermore, a FPGA implementation scheme is proposed to fully utilize the multiplier units of FPGA.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Rui Zhou, Shuheng Chen, Yang Han, Qunying Liu, Zhe Chen, Weihao Hu
Summary: In power system scheduling with variable renewable energy sources, considering both spatial and temporal correlations is a challenging task due to the complex intertwining of spatiotemporal characteristics and computational complexity caused by high dimensionality. This paper proposes a novel probabilistic spatiotemporal scenario generation (PSTSG) method that generates probabilistic scenarios accounting for spatial and temporal correlations simultaneously. The method incorporates Latin hypercube sampling, copula-importance sampling theory, and probability-based scenario reduction technique to efficiently capture the spatial and temporal correlation in the dynamic optimal power flow problem. Numerical simulations demonstrate the superiority of the proposed approach in terms of computational efficiency and accuracy compared to existing methods.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Juan Manuel Mauricio, J. Carlos Olives-Camps, Jose Maria Maza-Ortega, Antonio Gomez-Exposito
Summary: This paper proposes a simplified thermal model of VSC, which can produce accurate results at a low computational cost. The model consists of a simple first-order thermal dynamics system and two quadratic equations to model power losses. A methodology is also provided to derive the model parameters from manufacturer data.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Jae-Kyeong Kim, Kyeon Hur
Summary: This paper investigates the relationship between the accuracy of finite difference-based trajectory sensitivity (FDTS) analysis and the perturbation size in non-smooth systems. The study reveals that the approximation accuracy is significantly influenced by the perturbation size, and linear approximation is the most suitable method for practical applications.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Yuan Si, Amjad Anvari-Moghaddam
Summary: This paper investigates the impact of geomagnetic disturbances on small signal stability in power systems and proposes the installation of blocking devices to mitigate the negative effects. Quantitative evaluation reveals that intense geomagnetic disturbances significantly increase the risk of small signal instability. Optimal placement of blocking devices based on sensitivity scenarios results in a significant reduction in the risk index compared to constant and varying induced geoelectric fields scenarios.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Xuejian Zhang, Wenxin Kong, Nian Yu, Huang Chen, Tianyang Li, Enci Wang
Summary: The intensity estimation of geomagnetically induced currents (GICs) varies depending on the method used. The estimation using field magnetotelluric (MT) data provides the highest accuracy, followed by the estimation using 3D conductivity models and the estimation using a 1D conductivity model. The GICs in the North China 1000-kV power grid have reached a very high-risk level, with C3 and C4 having a significant impact on the geoelectric field and GICs.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Yue Pan, Shunjiang Lin, Weikun Liang, Xiangyong Feng, Xuan Sheng, Mingbo Liu
Summary: This paper introduces the concept and model of offshore-onshore regional integrated energy system, and proposes a stochastic optimal dispatch model and an improved state-space approximate dynamic programming algorithm to solve the model. The case study demonstrates the effectiveness and high efficiency of the proposed method in improving economic and environmental benefits.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Mohammad Eydi, Reza Ghazi, Majid Oloomi Buygi
Summary: Proportional current sharing, voltage restoration, and SOCs balancing in DC microgrid control algorithms are the leading challenges. This paper proposes a novel communication-less control method using a capacitor and a DC/DC converter to stabilize the system and restore the DC bus voltage. The method includes injecting an AC signal into the DC bus, setting the current of energy storage units based on frequency and SOC, and incorporating droop control for system stability. Stability analysis and simulation results validate the effectiveness of the proposed method.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Xiangjian Meng, Xinyu Shi, Weiqi Wang, Yumin Zhang, Feng Gao
Summary: With the increasing penetration of photovoltaic power generation, regional power forecasting becomes critical for stable and economical operation of power systems. This paper proposes a minute-level regional PV power forecasting scheme using selected reference PV plants. The challenges include the lack of complete historical power data and the heavy computation burden. The proposed method incorporates a novel reference PV plant selection method and a flexible approach to decrease the accumulated error of rolling forecasting.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Huabo Shi, Yuhong Wang, Xinwei Sun, Gang Chen, Lijie Ding, Pengyu Pan, Qi Zeng
Summary: This article investigates the dynamic stability characteristics of the full size converter variable speed pumped storage unit and proposes improvements for the control strategy. The research is important for ensuring the safe and efficient operation of the unit.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Firmansyah Nur Budiman, Makbul A. M. Ramli, Houssem R. E. H. Bouchekara, Ahmad H. Milyani
Summary: This paper proposes an optimal harmonic power flow framework for the daily scheduling of a grid-connected microgrid, which addresses power quality issues and ensures effective control through demand side management.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)
Article
Engineering, Electrical & Electronic
Cong Zeng, Ziyu Chen, Jizhong Zhu, Fellew Ieee
Summary: This paper introduces a distributed solution method for the multi-objective OPF problem, using a coevolutionary multi-objective evolutionary algorithm and the idea of decomposition. The problem is alleviated by decomposing decision variables and objective functions, and a new distributed fitness evaluation method is proposed. The experimental results demonstrate the effectiveness of the method and its excellence in large-scale systems.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2024)