Article
Engineering, Electrical & Electronic
A. Bosisio, A. Berizzi, E. Amaldi, C. Bovo, A. Morotti, B. Greco, G. Iannarelli
Summary: This paper presents a novel methodology for Distribution Networks expansion planning using Geographic Information Systems, combining Delaunay Triangulation with Mixed-Integer Linear Programming in a 2-steps approach. The methodology accounts for topological and electrical constraints, as well as a specified level of reliability, and is intended to provide macro information for further refinement by planners in subsequent planning steps. A numerical case study on a real network demonstrates the efficacy of the proposed approach for the Distribution Network expansion planning problem.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
Karim Hassan Youssef
Summary: The paper proposes an optimization technique for ring power distribution systems to accommodate different requirements and constraints. It aims to minimize costs, improve stability, and reliability.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Computer Science, Hardware & Architecture
Zirun Wang, Chunze Zhai
Summary: This paper proposes an optimization-based energy management method that controls power consumption using real-time price signals and photovoltaic batteries. It aims to reduce energy costs, carbon dioxide emissions, and peak loads. The Grey Wolf Optimization algorithm is employed to solve the planning problem in three case studies, and simulations show its effectiveness compared to existing approaches.
COMPUTERS & ELECTRICAL ENGINEERING
(2022)
Article
Computer Science, Information Systems
Ngoc-Tuan Do, Van-Phuc Hoang, Cong-Kha Pham
Summary: This paper proposes new methods to reduce computation time by using Point of Interest (POI) extractor and power trace biasing technique for low complexity correlation power analysis. The experiments conducted on different platforms justify the effectiveness of the proposed techniques, showing reliable results and reduced execution time.
Article
Engineering, Electrical & Electronic
Xuanyi Xiao, Feng Wang, Mohammad Shahidehpour, Zhiyi Li, Mingyu Yan
Summary: This article proposes a model that coordinates distribution network reinforcement and DERP in a competitive market, utilizing multi-stage programming and an iterative algorithm for effectiveness.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Engineering, Electrical & Electronic
Chongyu Wang, Kaiyuan Pang, Mohammad Shahidehpour, Fushuan Wen, Hongtao Ren, Zhan Liu
Summary: This paper proposes an optimization model for the joint planning of sectionalizing switches and tie lines among distribution feeders. The model takes into account flexible installation, maintenance costs, and reliability requirements. A route analysis method is used to analyze different deployment schemes, and a mixed-integer linear programming model is formulated for the joint planning problem. Numerical results show that the proposed planning solution is more cost-effective and has lower outage energy compared to other methods.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Management
Ichiro Nishizaki, Tomohiro Hayashida, Shinya Sekizaki, Junya Okabe
Summary: This paper focuses on a two-level production and distribution planning problem in supply chain management, specifically examining the situation where the leader lacks full knowledge of the follower's manufacturing technologies. To address the issue of explicitly formulating the follower's production planning problem, the paper proposes formulations that implicitly express manufacturing technologies using input-output data observed from the follower's production activities, incorporating the concept of data envelopment analysis (DEA). The paper considers two possibilities of observable input-output data based on whether the data is aggregated for all production facilities collectively or separately for each facility.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Yanwen Wang, Jiyuan Cao, Zhiming Hu, Xueqian Han, Xuan Zhou
Summary: Due to the particularity of petrochemical enterprises, a new method of grey correlation degree based on adaptive frequency band is proposed to accurately detect faulty feeders in the resonant grounding system. By decomposing the transient zero-sequence current of each feeder and removing power frequency and noise signals, the remaining frequency bands are stacked to construct a wavelet area matrix for detecting faulty feeders. The final faulty feeder detection result is obtained through a weighted voting process. Simulation results demonstrate that the method is not affected by various factors and exhibits good sensitivity.
Article
Engineering, Electrical & Electronic
Mohammad Jooshaki, Ali Abbaspour, Mahmud Fotuhi-Firuzabad, Gregorio Munoz-Delgado, Javier Contreras, Matti Lehtonen, Jose M. Arroyo
Summary: This paper proposes an enhanced mixed-integer linear programming (MILP) model for multistage reliability-constrained distribution network expansion planning. The model incorporates an efficient and accurate reliability evaluation model, a customized technique for radial operation, and pragmatic measures to model reliability-related costs. The proposed planning approach considers practical reliability-related costs based on reliability incentive schemes and revenue lost during outages. The efficiency and applicability of the approach are illustrated through testing on four networks of different sizes.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Engineering, Electrical & Electronic
Cleberton Reiz, Jonatas B. Leite, Clara S. Gouveia, Mohammad Sadegh Javadi
Summary: This research proposes a bilevel method to simultaneously solve the allocation and coordination problems in microgrid protection, considering local devices. The results show that solving these problems simultaneously can save costs and select the optimal solution.
ELECTRIC POWER SYSTEMS RESEARCH
(2024)
Article
Energy & Fuels
Tianxiang Ma, Ziqi Hu, Yan Xu, Haoran Dong
Summary: Flexible DC distribution networks with strong capacity for new energy consumption have attracted extensive attention. However, fault location on DC distribution lines is a challenging task. In this study, a comprehensive grey correlation degree analysis is proposed for fault location by analyzing the similarity of aerial mode traveling differential current waveforms. The method achieves fault location by obtaining the optimal time shift. Simulation results on a six-terminal flexible DC distribution network model demonstrate the effectiveness and reliability of the proposed method for rapid and accurate fault location, even with low sampling frequency.
Article
Computer Science, Artificial Intelligence
Qihao Liu, Xinyu Li, Liang Gao
Summary: Process planning is a crucial part of manufacturing systems that require complex models to accurately describe its characteristics. By introducing a new MILP mathematical model and a hybrid evolutionary algorithm, the efficiency and superiority of both methods have been successfully validated through numerical experiments.
JOURNAL OF INTELLIGENT MANUFACTURING
(2021)
Article
Engineering, Electrical & Electronic
Abdelfatah Ali, Mostafa F. Shaaban, Ahmed S. A. Awad, Maher A. Azzouz, Matti Lehtonen, Karar Mahmoud
Summary: This paper proposes a multi-objective planning framework to optimally allocate renewable energy sources (RESs) and electric vehicle charging stations (EVCSs), taking into account the stochastic nature of RES generation and electric vehicles (EVs). The framework considers voltage deviations, energy losses, and EVs owners' dissatisfaction as sub-objectives to be minimized. Advanced control schemes of interconnecting RES inverters, G2V and V2G schemes are also considered. The proposed framework has been tested on a 69-bus distribution system and the results show its efficacy.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Mengmeng Cai, Rui Yang, Yingchen Zhang
Summary: This article introduces a linear-approximated DLMP for distributed energy resources, which efficiently solves the issue of high computational costs. It also enhances the model's applicability through generalization to 3-phase unbalanced loads and meshed network structures.
IEEE TRANSACTIONS ON SMART GRID
(2021)
Article
Engineering, Electrical & Electronic
Rahul Ranjan Jha, Anamika Dubey
Summary: This paper proposes two scalable D-OPF algorithms that achieve optimal and feasible solutions by solving multiple iterations of approximate or relaxed subproblems using linear programming and second-order cone programming, respectively. The algorithms significantly reduce computation time while maintaining solution quality.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2021)