POWER ENGINEERING AND ELECTRICAL ENGINEERING VOLUME: 14 | NUMBER: 3 | 2016 | SEPTEMBER Assessment of Temporary Overvoltages During Network Lines Re-Energization Rajagopal PEESAPATI 1 , Vinod Kumar YADAV 2 , Niranjan KUMAR 1 1 Department of Electrical & Electronics Engineering, National Institute of Technology Jamshedpur, Parallel Road, Adityapur, Jamshedpur, Jharkhand, 831014 India 2 School of Electrical, Electronics and Communication Engineering, Galgotias University, Greater Noida, Uttar Pradesh, 201306 India gopal.12rsee009@nitjsr.ac.in, v3k5y7@gmail.com, nkumar.ee@nitjsr.ac.in DOI: 10.15598/aeee.v14i3.1775 Abstract. Power system blackouts are very infrequent, but they have a Brobdingnagian eﬀect on the system performance and devices. The present research work oﬀers remarkable techniques for the assessment of tem- porary overvoltages all through the re-energization of network lines. The main goal of this research work is to ﬁrst-rate and reenergize the network lines for the purpose of restoration. In the later stage, the mag- nitudes and durations of the Temporary Overvoltages (TOVs) that occurred during the energization of un- loaded transformer are estimated.The assortment and re-energization of network lines is done on the ba- sis of Data Envelopment Analysis (DEA) and concep- tual method respectively. The assessment of TOVs is done on the basis of MATLAB/Simulink and Feed For- ward Neural Networks (FFNNs). The proposed models are veriﬁed on IEEE 30 bus test system for the anal- ysis purpose. The Mean Absolute Percentage Error (%MAPE) obtained through various forecasting meth- ods is examined to check the robustness of the pro- posed approaches. The simulation and FFNN results presented in this research work helps in designing the exact withstand voltage rating for various network com- ponents employed at the moment of re-energization. Keywords Data Envelopment Analysis, Feed Forward Neural Networks, power system restoration, temporary over voltages. 1. Introduction Restoration of the power system after a major or a partial blackout is complex and time consuming in nature. This needs several actions to take place in a very short time and with high accuracy. The power system restoration task is multi-objective and can be solved based on stochastic models. The restoration plan consists of several objectives like total system risk, total served energy in the period of restoration and total restoration time. The proposed approach opti- mizes the diﬀerent kinds of objective functions for the generating units. The re-energization process of elec- tric isolated areas can be divided into three diﬀerent stages, i.e., restoration planning, control actions during system degradation and power system restoration [1]. A computational methodology was proposed to evalu- ate the re-energization activities during the power sys- tem restoration [2]. Diﬀerent issues in power system restoration are dis- cussed and solution methods are elaborated in the ex- isting literature. A systematic power system restora- tion planning for Hydro-Quebec is described and sug- gested in designing the new software that incorporates an optimization algorithm and an advanced user in- terface [3]. Power system restoration plays a key role in the restructured power industry. The issues related to restoration to power industry and in the electricity market environment are analyzed and compared [4]. The simulation work helps in the best way of loading the power plants and is applied for hydro power plant and steam power plant restoration [5].The PJM and Hydro Quebec systems are restored using a step by step procedure which doesn’t involve numerical calcu- lations. On the other hand, DEA has been utilized in mea- suring the eﬃciencies of banks, electrical distribution utilities by providing a score that equals to one for ef- ﬁcient units and less than one for ineﬃcient units [18]. c  2016 ADVANCES IN ELECTRICAL AND ELECTRONIC ENGINEERING 227