Optimization of Surge Arrester's Location

Orille-Fernandez, A.L.; Bogarra, Santiago; Gotes, Ma.A.G.

doi:10.1109/tpwrd.2003.820213

Cited by 30 publications

(22 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Per unit standard deviation for lightning studies are also assumed to be 3%. We need the mean and standard deviation in Equation (12) to construct the strength function. The mean value which is called CFO is related to the BIL based on (21) [25][26][27].…”

Section: Discussionmentioning

confidence: 99%

“…Practically such an assumption will increase the computation volume dramatically. Considering the facts that on striking the lightning surge to phase conductors, probability of flashover on nearest two towers are very high, supposing two fictitious nodes on these towers on each line, makes overall computing procedure easier, without decreasing overall accuracy [12]. Hence, only the overvoltages on these nodes are to be taken into account for calculating the risk of failure in the network.…”

Section: Sampling the Lightning Overvoltagesmentioning

confidence: 99%

See 1 more Smart Citation

Determining arresters best positions in power system for lightning shielding failure protection using simulation optimization approach

Vahidi¹,

Tavakoli²,

Hosseinian³

2008

Int Trans Elec Energy Syst

View full text Add to dashboard Cite

SUMMARYThe lightning stroke to power system structures especially overhead lines makes severe damages and results in less reliable power supply. The invention of surge arresters was a revolution in these systems for protecting the precise equipments from lightning stroke overvoltages. Nowadays, with ever decreasing prices, using arrester not only for protecting certain instruments but also for decreasing total risk of flashover in overall network, is investigated by academic and industrial pioneers in this area. In this paper, our goal is to introduce a heuristic method for determining optimum positions for placing transmission lines surge arresters (TLSAs) with acceptable approximation, to get lowest possible value of shielding failure risk of flashover in a selected set of overhead lines. Simulation optimization based on neural net (i.e. Meta Model) and genetic algorithm (optimization algorithm) is invoked to suggest best positions for placing TLSAs. A case study on Kerman 230 kV network shows good achievement of simulation optimization for finding optimum positions of TLSAs. Comparison is also made with the results of transient simulation to reveal the effectiveness of the method.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Sampling the Lightning Overvoltagesmentioning

confidence: 99%

Determining arresters best positions in power system for lightning shielding failure protection using simulation optimization approach

Vahidi¹,

Tavakoli²,

Hosseinian³

2008

Int Trans Elec Energy Syst

View full text Add to dashboard Cite

show abstract

“…Hence, a probabilistic approach is usually adopted to evaluate the lightning performance of TLs. So far, extensive studies have been carried out on the risk assessment and lightning performance of TLs in order to design the proper lightning protection system [2][3][4][5][6][7]. In the previous works the grounding system has been modeled with a linear or nonlinear resistor [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Assessment of Lightning Related Risk of Transmission Lines Based on Frequency Dependent Modeling of Tower-Footing Grounding System

Gholinejhad¹,

Shariatinasab²,

Sheshyekani³

2018

AEM

View full text Add to dashboard Cite

This paper presents a probabilistic evaluation, based on Monte-Carlo method, for the estimation of insulation risk of failure of overhead transmission lines (TLs). The proposed method takes into account the wide-band model of towerfooting grounding system. The wide-band model of grounding system in frequency domain is obtained by the method of moment solution to the governing electrical field integral equations. The electrical parameters of soil are considered to be either constant or frequency dependent. The time-domain representation of the grounding system is inferred through pole-zero characterization of its associated frequency response. The case of a typical 400-kV transmission line is modelled in EMTP_RV with the towerfooting grounding system integrated with the transmission line (TL) system. The results of the paper show that the failure risk of transmission lines is affected by the grounding system model. This effect is more pronounced when the soil electrical parameters are assumed to be frequency dependent.

show abstract

“…This means that each region/node of the network should be analysed, separately. Therefore the method presented in [2,3] which assumes this situation as a continuous problem is not applicable for large networks. Generally, distribution networks are not as large as transmission lines.…”

Section: Introductionmentioning

confidence: 99%

“…However, the replacement cost of the network components is the only economical criterion considered in [2][3][4][5][6], whereas the transmitted power in each region/node is ignored. Then, the effectiveness of the presented methods in the literature is questioned from the economical point of view.…”

Section: Introductionmentioning

confidence: 99%

Optimisation of arrester location in risk assessment in distribution network

Shariatinasab

Safar

Falaghi

2014

IET Generation, Transmission & Distribution

View full text Add to dashboard Cite

This study describes a cost-effective solution for distribution network protection against lightning surges by selective installation of arresters. To go through this, a probabilistic approach based on IEEE Std. 1410 has been implemented and an optimisation method based on discrete imperialist competition algorithm has been developed. The proposed method considers both technical and economic criteria to achieve the best solution. Consequently, the investment costs and the annual total costs including line investment, maintenance and outage costs are being reduced considering the cost of protective devices. In the optimisation procedure, lightning occurrence and network characteristics as well as transmitted power are considered. The obtained results confirm more efficiency of the proposed method than the conventional methods, from either economical or technical point of view.

show abstract

Optimization of Surge Arrester's Location

Cited by 30 publications

References 2 publications

Determining arresters best positions in power system for lightning shielding failure protection using simulation optimization approach

Determining arresters best positions in power system for lightning shielding failure protection using simulation optimization approach

Probabilistic Assessment of Lightning Related Risk of Transmission Lines Based on Frequency Dependent Modeling of Tower-Footing Grounding System

Optimisation of arrester location in risk assessment in distribution network

Contact Info

Product

Resources

About