Optimal planning of rural medium voltage distribution networks

Nahman, J.; Spirić, Josif V.

doi:10.1016/s0142-0615(97)00028-8

Cited by 18 publications

(9 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the second stage, the optimum site and size for the DG units for the networks obtained in the first stage are determined by another multi-objective optimization, i.e., minimization of DG penetration level and power loss. The simultaneous optimization of the multiple objectives can be done in many ways, for example, aggregating approach [3][4][5][6][7][8], Pareto-dominance based approach [9][10][11][12][13][14][15], lexicographic ordering [35,42], and non-Pareto based approach [42]. Most of the multi-objective optimization algorithms are based on the Pareto-dominance principle [31,35,42] which is used to yield a set of non-dominated solutions.…”

Section: I S (C M S )mentioning

confidence: 99%

See 1 more Smart Citation

A novel multi-objective PSO for electrical distribution system planning incorporating distributed generation

2010

View full text Add to dashboard Cite

This paper presents a novel particle swarm optimization (PSO) based multi-objective planning approach for electrical distribution systems incorporating distributed generation (DG). The proposed strategy can be used for planning of both radial and meshed networks incorporating DG. The DG plays an important role in the distribution system planning due to its increasing use motivated by reduction of power loss, voltage profile improvement, meeting future load demand, and optimizing the use of non-conventional energy sources etc. The overall approach consists of two multi-objective planning stages. In the first stage, a contingency-based multiobjective planning is used to optimize the number of feeders and their routes, and the number and location of the sectionalizing switches. In the second stage, the optimum siting and sizing of the DG units is determined for the networks obtained in the first stage by another multi-objective optimization. The multiple objectives of the first planning stage are: (i) minimization of the total installation and operational cost, and (ii) maximization of network reliability. The reliability of the distribution network is evaluated by a reliability index, i.e., contingency-load-loss index (CLLI), defined as the ratio of the average non-delivered load due to failure of all branches, taken one at a time, to the total load. The objectives for the second stage optimization are the DG penetration level and the total power loss. A set of non-dominated solutions/networks is obtained by simultaneous minimization of the conflicting objectives (at each stage) using the Pareto-optimality principle based trade-off analysis. A novel multi-objective PSO (MOPSO) is proposed for solving these optimization problems using a technique for selection and assignment of leaders/guides for efficient search of the non-dominated solutions. The selection of the leaders makes use of the available non-dominated and dominated solutions. The proposed planning algorithm is tested for the static and expansion planning of typical 100-node and 21-node distribution systems, respectively. The computer simulation results are critically 292 S. Ganguly et al.evaluated. The performance of the algorithm is compared with that of the popular Strength Pareto Evolutionary Algorithm-2 (SPEA2)-based PSO and few other existing MOPSO techniques by means of statistical tests to highlight the efficacy of the proposed scheme.

show abstract

Section: I S (C M S )mentioning

confidence: 99%

“…Normally, the numerical optimization tools such as nonlinear programming (NLP) [3,4], dynamic programming (DP) [5,6], and benders' decomposition [9] have been used. There are some disadvantages with these analytical approaches, i.e., curse of dimensionality, non-differentiability, discontinuous objective space etc.…”

Section: I S (C M S )mentioning

confidence: 99%

A novel multi-objective PSO for electrical distribution system planning incorporating distributed generation

2010

View full text Add to dashboard Cite

show abstract

“…While both acquisition and running costs can be obtained by applying simple calculations, the interruption cost depends on the reliability evaluation indices and the cost damage function as illustrated in Eqs. (16) and (17).…”

Section: Economical Evaluationmentioning

confidence: 99%

“…Rural distribution system planning was also investigated in [14][15][16]. The system is generally characterized by a sparsely populated service area with a mix of commercial, agricultural, and residential customers who are normally served by overhead radial distribution networks that are usually fed from a single unit substation with no back-up in the case of component outages.…”

Section: Introductionmentioning

confidence: 99%

A procedure for distribution system planning of a large-scale agricultural project

Helal¹

2008

Electric Power Systems Research

View full text Add to dashboard Cite

“…The network reliability, an important aspect in the competitive power market, is also considered as another objective . The network reliability is maximized by optimizing different reliability objective functions, such as total (cost of) nondelivered energy [6][7][8][9][10][11][12][13][24][25][26][27][28], customer outage cost [14], customer interruption cost [15,16], and contingency-load-loss index [29]. Two approaches have been used for optimizing the cost and reliability.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective planning of electrical distribution systems using dynamic programming

Ganguly

Sahoo

Das

2013

International Journal of Electrical Power & Energy Systems

View full text Add to dashboard Cite

Optimal planning of rural medium voltage distribution networks

Cited by 18 publications

References 5 publications

A novel multi-objective PSO for electrical distribution system planning incorporating distributed generation

A novel multi-objective PSO for electrical distribution system planning incorporating distributed generation

A procedure for distribution system planning of a large-scale agricultural project

Multi-objective planning of electrical distribution systems using dynamic programming

Contact Info

Product

Resources

About