Using multi-objective optimal power flow for reducing magnetic fields from power lines

被引:20
|
作者
Ippolito, L [1 ]
Siano, P [1 ]
机构
[1] Univ Salerno, Dept Elect & Elect Engn, I-84084 Fisciano, SA, Italy
关键词
electric fields; magnetic fields; electromagnetic fields; fuzzy logic; goal programming; optimal power flow;
D O I
10.1016/S0378-7796(03)00151-2
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Over the past several years.. concerns have been raised over the possibility that the exposure to 50/60 Hz electromagnetic fields (EMFs) from power lines, substations, and other power sources may have detrimental health effects on living organisms. As a result of these concerns, some European States, as Belgium, Italy, Switzerland and Estonia, have set limits, which are more stringent then the Council Recommendation making reference to the precautionary principle. This stricter legislation is leading not only to an ambiguous legal situation but, above all, to controversy, delay, and costs increases in the construction of utility lines and facilities. Consequently, a number of techniques for mitigating EMFs associated with power lines have been proposed, but many of them are mainly applicable to future constructions and may not be appropriate for existing transmission or distribution lines due to high implementation cost. From these considerations, the study analyses the feasibility of using optimal power flow (OPF) for limiting EMF levels. The mitigation is obtained solving a multi-objective optimal power flow (MO-OPF) problem with a specific objective function for the EMFs. In order to validate the usefulness of the approach suggested herein, a case study using a modified IEEE 30-bus power system is presented and discussed. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:93 / 101
页数:9
相关论文
共 50 条
  • [41] Multi-Objective Modified Grey Wolf Optimizer for Optimal Power Flow
    Mohamed, Al-Attar Ali
    El-Gaafary, Ahmed A. M.
    Mohamed, Yahia S.
    Hemeida, Ashraf Mohamed
    PROCEEDINGS OF 2016 EIGHTEENTH INTERNATIONAL MIDDLE EAST POWER SYSTEMS CONFERENCE (MEPCON), 2016, : 982 - 990
  • [42] Multi-objective optimal power flow of thermal-wind-solar power system using an adaptive geometry estimation based multi-objective differential evolution
    Huy, Truong Hoang Bao
    Doan, Hien Thanh
    Vo, Dieu Ngoc
    Lee, Kyu-haeng
    Kim, Daehee
    APPLIED SOFT COMPUTING, 2023, 149
  • [43] Multi-objective optimal power flow considering the system transient stability
    Abido, Mohamed Ali
    Ahmed, Muhammad Waqar
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2016, 10 (16) : 4213 - 4221
  • [44] An efficient covexified SDP model for multi-objective optimal power flow
    Davoodi, Elnaz
    Babaei, Ebrahim
    Mohammadi-ivatloo, Behnam
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2018, 102 : 254 - 264
  • [45] Evenly distributed Pareto points in multi-objective optimal power flow
    Roman, C
    Rosehart, W
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2006, 21 (02) : 1011 - 1012
  • [46] Multi-objective optimal power flow calculation considering wind power confidence risk cost
    Wen Z.
    Peng C.
    Sun H.
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2020, 48 (24): : 36 - 43
  • [47] Probabilistic multi-objective optimal power flow considering correlated wind power and load uncertainties
    Shargh, S.
    Ghazani, B. Khorshid
    Mohammadi-Ivatloo, B.
    Seyedi, H.
    Abapour, M.
    RENEWABLE ENERGY, 2016, 94 : 10 - 21
  • [48] Voltage stability constrained multi-objective optimal power flow using particle swarm optimization
    Dutta, Papiya
    Sinha, A. K.
    2006 INTERNATIONAL CONFERENCE ON INDUSTRIAL AND INFORMATION SYSTEMS, VOLS 1 AND 2, 2006, : 161 - +
  • [49] Optimal Power Flow Problem Solution Using Multi-objective Grey Wolf Optimizer Algorithm
    Dilip, Ladumor
    Bhesdadiya, Rajnikant
    Trivedi, Indrajit
    Jangir, Pradeep
    INTELLIGENT COMMUNICATION AND COMPUTATIONAL TECHNOLOGIES, 2018, 19 : 191 - 201
  • [50] Multi-objective optimal power flow with DG placement using TLBO and MIPSO: A comparative study
    Sahu, Subhrajyoti
    Barisal, Ajit Kumar
    Kaudi, Abhishek
    FIRST INTERNATIONAL CONFERENCE ON POWER ENGINEERING COMPUTING AND CONTROL (PECCON-2017 ), 2017, 117 : 243 - 250