DSTATCOM allocation in distribution networks considering load variations using bat algorithm

Abstract

This paper proposes a new method of scheduling for optimal placement and sizing of Distribution STATic COMpensator in the radial distribution networks to minimize the power loss. In the proposed method Voltage Stability Index is used to search the optimal placement for installation of DSTATCOM. Optimal size of DSTATCOM is found by using bat algorithm. The feeder loads are varied by linearly from light load to peak load with a step size of 1%. In each load step, the optimal placement and sizing for DSTATCOM are calculated. By using the Curve Fitting Technique, the optimal sizing for DSTATCOM per load level is formulated in the form of generalized equation. The proposed approach will help the Distribution Network Operators to select the DSTATCOM size according to the load changes. To check the feasibility of the proposed method, system has been tested on two standard buses such as IEEE 33 and 69 bus radial distribution systems.Ó 2015 Faculty of Engineering, Ain Shams University. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

The Imperialist Competitive Algorithm for Optimal Multi-Objective Location and Sizing of DSTATCOM in Distribution Systems Considering Loads Uncertainty

“…In addition, in terms of the calculation time, the proposed algorithm is remarkably faster than the two other algorithms. It is to be noted that in the considered objective function, in comparison to Yuvaraj et al (2015b), as well as the cost associated with loss and installation of DSTATCOM, the LBI and IVP indices are also involved. It is clear that inclusion of additional terms in a goal function deviates the solution from that which is provided when these terms had not been considered.…”

Optimal placement of D-STATCOM using sensitivity approaches in mesh distribution system with time variant load models under load growth

“…Tolabi et al [9] proposed ant colony algorithm and its combination with fuzzy multi-objective approach for simultaneous placement of DG and D-STATCOM in the reconfigured network. Yuvaraj et al [10] proposed bat algorithm for D-STATCOM allocation in radial distribution networks considering load variations. Devabalaji and Ravi [11] used bacterial foraging optimization algorithm for finding optimal size and siting of multiple DG and DSTATCOM in Radial Distribution System (RDS).…”

Fuzzy logic–based rooted tree optimization algorithm for strategic incorporation of DG and DSTATCOM

“…5,6 Because of the increment of load demand in the recent time, DG can be used as an active power support that can also offer substantial advantages, such as line loss reduction, voltage profile enhancement, and greenhouse gas emission reduction. 1,2 The expansion of an existing network or the construction of new centralized generation units is not practically feasible because of various restrictions.…”

“…3 However, for the stable and secure operation of the power system, the enhancement of stability margin is essential in the context of restructured power market. 5,6 Because of the increment of load demand in the recent time, DG can be used as an active power support that can also offer substantial advantages, such as line loss reduction, voltage profile enhancement, and greenhouse gas emission reduction. 5,6 Because of the increment of load demand in the recent time, DG can be used as an active power support that can also offer substantial advantages, such as line loss reduction, voltage profile enhancement, and greenhouse gas emission reduction.…”

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In this study, a hybrid approach based on fuzzy logic and rooted tree optimization (RTO) algorithm is proposed for the strategic incorporation of distributed generation (DG) and distributed static compensator (DSTATCOM) in radial distribution system (RDS) to improve voltage profile, reduce losses, and maximize economic and environmental benefits. 5,10,11 In addition, significant benefits regarding line loss reduction, system voltage enhancement, and mitigation of power quality related problems can also be obtained by deploying DSTATCOM in RDS. Considering the uncertainty in DG's output and time-varying system load, the proposed technique is tested on 69-bus and 118-bus RDSs, and to check the accuracy and feasibility, the simulation results are compared with other existing techniques.

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