Optimal placement and sizing of DGs in RDS using chaos embedded SOS algorithm

Saha, Subhodip; Mukherjee, V.

doi:10.1049/iet-gtd.2016.0151

Cited by 104 publications

(62 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A comparative performance analysis is done on the basis of simulation results yielded by the proposed MOCSOS and two other well-established MOO techniques, namely, NSGA-II 47 and multiobjective PSO (MOPSO). 41 The selection of the maximum number of iterations is guided by the authors' previous work on the same topic.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Therefore, researchers have usually considered a weighted sum approach to optimize multiple objectives of DG planning. [41][42][43] Recently, an improved version of SOS, namely, chaotic SOS (CSOS), is proposed by Saha and Mukherjee. Besides the weighted sum approach, there exists another approach to solve MOO problems that simultaneously optimizes all the objective functions.…”

Section: Introductionmentioning

confidence: 99%

“…In the weighted sum approach, a single solution is obtained that depends on the selected weights for each objective. 41 The advantage of CSOS is that it has only a few control parameters in comparison with other intelligent algorithms and it exhibits better convergence mobility. This approach yields the nondominated solutions (ie, there exists no solution that is better than another solution in view of all the objectives) in the form of a Pareto set.…”

Section: Introductionmentioning

confidence: 99%

“…34 In recent years, SOS algorithm and some of its variants have been widely applied in solving various power engineering optimization problems, such as economic load dispatch, [35][36][37][38] optimal power flow, 39 congestion management, 40 and optimal DG allocation problem. [41][42][43] Recently, an improved version of SOS, namely, chaotic SOS (CSOS), is proposed by Saha and Mukherjee. 41 The advantage of CSOS is that it has only a few control parameters in comparison with other intelligent algorithms and it exhibits better convergence mobility.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A novel multiobjective chaotic symbiotic organisms search algorithm to solve optimalDGallocation problem in radial distribution system

Saha

Mukherjee

2019

Int Trans Electr Energ Syst

Self Cite

View full text Add to dashboard Cite

Summary This article presents a new method to decide the optimal locations and sizes of distributed generators (DGs) in radial distribution system (RDS). This task is associated with minimization of total voltage deviation and power loss and maximization of voltage stability index of the RDS. To solve this multiobjective DG allocation problem, a novel metaheuristic algorithm, namely, multiobjective chaotic symbiotic organisms search (SOS) (MOCSOS), is proposed in this article. The proposed MOCSOS is an improved version of the traditional SOS, where a chaotic local search technique is incorporated within the traditional SOS framework. The MOCSOS utilizes a fast nondominated sorting strategy to achieve the Pareto solutions. The constraints associated with this DG allocation problem are handled using a binary tournament selection–based approach. The performance of MOCSOS is validated on 33‐ and 69‐node RDSs. The efficacy of the MOCSOS is established by comparing its performance with other nature‐inspired state‐of‐the‐art algorithms.

show abstract

Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A novel multiobjective chaotic symbiotic organisms search algorithm to solve optimalDGallocation problem in radial distribution system

Saha

Mukherjee

2019

Int Trans Electr Energ Syst

Self Cite

View full text Add to dashboard Cite

show abstract

“…In Fahad Abu‐Mouti and El‐Hawary, artificial bee colony (ABC) algorithm was used to solve DG placement problem. A novel chaotic symbiotic organisms search (CSOS) algorithm was proposed in Saha and Mukherjee, to determine location and rating of DGs. DG placement problem was studied in Gkaidatzis et al considering load variation using PSO algorithm.…”

Section: Introductionmentioning

confidence: 99%

Optimal coordinate control of OLTC, DG, D-STATCOM, and reconfiguration in distribution system for voltage control and loss minimization

Murty

Sharma

2018

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary This paper presents optimal coordination and management of on‐load tap changer (OLTC), distribution static compensator (D‐STATCOM), distribution generation (DG), and reconfiguration to maximize annual cost savings and improve voltage profile using hybrid optimization. An analytical approach is developed to find optimal setting of OLTC. Optimal reconfiguration of the network is derived using genetic algorithm. Optimal location of DG and D‐STATCOM is determined using gravitational search algorithm, and optimal ratings are obtained using interface with MATLAB and GAMS environment. Fourteen realistic case studies are investigated in this paper work. In the first scenario, regulating devices are disabled to monitor the voltage profile and energy loss of the test system. In the remaining cases, influence of OLTC, DG, D‐STATCOM, and reconfiguration is independently and simultaneously studied. In the last scenario, OLTC, DG, D‐STATCOM, and reconfiguration are enabled to maintain voltage security and minimize power losses. Simulation results are obtained for IEEE 69‐bus test system and compared with other existing methods available in the literature. The proposed technique is reliable and efficient to obtain global optimal solution. Simulation results clearly indicate that optimal coordination and management among OLTC, DG, D‐STATCOM, and reconfiguration is required to maximize annual cost savings and maintain voltage at each node as per statutory requirements. Moreover, the analysis has been carried out for time‐varying distribution system with realistic load model.

show abstract

Simultaneous sitting and sizing photovoltaic unit and distribution static compensator in distribution grid considering the effect of geographical conditions

Shalchi

Mozafari

Firouz

2020

Int J Numerical Modelling

View full text Add to dashboard Cite

This paper proposes a model to allocate photovoltaic unit (PVU) and distribution static compensator (DSTATCOM) that incorporate the operation effect of PVU in sizing and sitting problem. The model is based on the dynamic assessment of PVU production and the effect of it on placement of PVU and DSTATCOM. Geographical conditions are interfered in placement problem of PVU and DSTATCOM simultaneously. The model is verified in a multi-objective form. The multi-objective problem is formulated based on voltage stability, liability, power loss and total cost of PVU and DSTATCOM. This problem is solved by employing optimization technique and the results of optimization processes are tested in different scenarios. Uncertainty in network loads is an inevitable task that should be considered in network planning. Uncertainty in the presented model has been defined as a set of divided parts in the presented model. The proposed model has been evaluated on two test system, 33-bus and 69-bus. The obtained results indicate that the presented model can be employed to study the intermittent behavior of PVU in placement problem.

show abstract

Optimal placement and sizing of DGs in RDS using chaos embedded SOS algorithm

Cited by 104 publications

References 43 publications

A novel multiobjective chaotic symbiotic organisms search algorithm to solve optimalDGallocation problem in radial distribution system

A novel multiobjective chaotic symbiotic organisms search algorithm to solve optimalDGallocation problem in radial distribution system

Optimal coordinate control of OLTC, DG, D-STATCOM, and reconfiguration in distribution system for voltage control and loss minimization

Simultaneous sitting and sizing photovoltaic unit and distribution static compensator in distribution grid considering the effect of geographical conditions

Contact Info

Product

Resources

About