Multi-objective optimal placement of protective devices on microgrid using improved binary multi-objective PSO

Numerical distance relays are used in modern power system to boost the performance and reduce the computational burden of relay. Quadrilateral zone of distance relay is more suitable and capable of boundary modification on protection scheme. In this paper, an adaptive distance relay is introduced to tackle the maloperation problems encountered in non-uniform structure of combined transmission system, in which the zone 1 of distance relay is modified. Two boundaries are modified with fifth degree of polynomial equation for quadrilateral zone characteristic. Appropriate objective functions are defined to minimize the increment in relay zone, maloperation rate, and boundary accuracy error. The multiobjective optimization problem is solved by using genetic algorithm. According to the extensive computational analysis results performed by MATLAB, the high accuracy of the proposed adaptive relay was achieved. Furthermore, the proposed method has the ability to encompass all faults and tackles the influence of various power system conditions by finding the optimized equation coefficients for the nonuniform structures.

show abstract

“…The Pareto front multioptimization is governed by

({, \begin{array}{c} F ((), x) = min ({},,, f_{1} ((), x) f_{2} ((), x) \dots f_{N} ((), x)) \\ h_{k} = 0 k = 1, \dots, M \\ \begin{matrix} center \\ t_{k} \geq 0 & k = 1, \dots, P \end{matrix} \\ x = ((),,, x_{1} x_{2} \dots x_{N}) \end{array})

where N represents the number of objective functions. The t k and h k are the inequality and equality constraints, respectively.…”

Section: Proposed Method: New Quadrilateral Zone Settingmentioning

confidence: 99%

Development of nonuniform transmission line protection for accurate distance protection: Computational analysis of an adaptive distance relay characteristic

Tavalaei

Habibuddin

Naderipour

et al. 2018

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

show abstract

“…The prominent meta-heuristic techniques addressed in the literature (Table 3) include: genetic algorithm (GA) and associated evolutionary algorithms with various variants as in [122,128,131,137,139,143,147,152,155,157,162,165,166]. Also, PSO with various variants have addressed SDN planning problems as in [125,127,130,132,138,158,163]. Furthermore, an improved variant of the teaching learning algorithm (ITLBO) [133] and bacterial foraging algorithm (MBFO) [134] have been employed for short term MO planning (scheduling) problems, respectively.…”

Section: B Numerical Methodsmentioning

confidence: 99%

“…Other multi-criteria decision analysis meth include the min-max approach [123,126,134,138,160]; rank order centroi in [141], respectively. A detailed account of MCDA methods can be fou…”

Section: Decision-making Methodsmentioning

confidence: 99%

“…The FDM aiming at MOP problems has been employed in literature with various variants and associated methods as in [86,125,128,133,135,137,141]. Other multi-criteria decision analysis methods addressed in this study include the min-max approach [123,126,134,138,160]; rank order centroid (ROC) in [136] and TOPSIS in [141], respectively. A detailed account of MCDA methods can be found in [168,169].…”

Section: Decision-making Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Smart Distribution Networks: A Review of Modern Distribution Concepts from a Planning Perspective

et al. 2017

View full text Add to dashboard Cite

Smart grids (SGs), as an emerging grid modernization concept, is spreading across diverse research areas for revolutionizing power systems. SGs realize new key concepts with intelligent technologies, maximizing achieved objectives and addressing critical issues that are limited in conventional grids. The SG modernization is more noticeable at the distribution grid level. Thus, the transformation of the traditional distribution network (DN) into an intelligent one, is a vital dimension of SG research. Since future DNs are expected to be interconnected in nature and operation, hence traditional planning methods and tools may no longer be applicable. In this paper, the smart distribution network (SDN) concept under the SG paradigm, has presented and reviewed from the planning perspective. Also, developments in the SDN planning process have been surveyed on the basis of SG package (SGP). The package presents a SDN planning foundation via major SG-enabling technologies (SGTF), anticipated functionalities (SGAF), new consumption models (MDC) as potential SDN candidates, associated policies and pilot projects and multi-objective planning (MOP) as a real-world optimization problem. In addition, the need for an aggregated SDN planning model has also been highlighted. The paper discusses recent notable related works, implementation activities, various issues/challenges and potential future research directions; all aiming at SDN planning.

show abstract

“…The second category includes the literature that has separately investigated the protective device placement. 7,[17][18][19][20][21] In Celli and Pilo, 7 an innovative method to find the optimal number and place of switches in distribution networks is presented using the Bellman equation optimal control. The feeder-switch relocation for preventing customer interruptions is presented in Teng and Lu 17 to increase reliability and minimization of the costs.…”

Section: Introductionmentioning

confidence: 99%

A novel practical method for simultaneous placement of switching and protective devices considering load uncertainty

Yari

Shakarami

Namdari

et al. 2019

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary A smart distribution system should be able to restore interrupted customers as quickly as possible after outages. By optimal allocation of switching and protective devices, it is possible to enhance the reliability and increase the restoration capacity of the loads after an outage. In this paper, by taking into account uncertainty in the load data, a novel practical method for the simultaneous planning of optimum location of switching devices including tie‐lines and remote‐control switches (RCSs), fault indicators, and cut‐out fuses is proposed. In this paper, a method for minimization of the costs associated with equipment investment and interruption cost has been proposed. Practical parameters such as geographical position and conditions of the understudy network and feeders, and the configuration and possible constraints of the real network from the experts' viewpoint, have been considered in this study. The actual characteristics of the network are extracted by utilizing the analytical hierarchical process (AHP), the geographic information system (GIS) data, and the event recording software. To optimize the problem, the multi‐objective nondominated sorting genetic algorithm II (NSGAII) is employed. The efficacy of the proposed method is proved through simulation of a real medium‐voltage (MV) feeder.

show abstract

Multi-objective optimal placement of protective devices on microgrid using improved binary multi-objective PSO

Cited by 13 publications

References 16 publications

Development of nonuniform transmission line protection for accurate distance protection: Computational analysis of an adaptive distance relay characteristic

Development of nonuniform transmission line protection for accurate distance protection: Computational analysis of an adaptive distance relay characteristic

Smart Distribution Networks: A Review of Modern Distribution Concepts from a Planning Perspective

A novel practical method for simultaneous placement of switching and protective devices considering load uncertainty

Contact Info

Product

Resources

About