Optimal Placement of Solar PV as Active Power Source in Primary Distribution System for Loss Reduction
01 Jan 2018-Advances in intelligent systems and computing (Springer, Singapore)-Vol. 624, pp 687-698
TL;DR: The paper uses analytical expressions for determination of optimal size and a methodology for optimal location of DG placement and presents the economics of this placement considering loss reduction and capacity relieving of the distribution substation.
Abstract: The general problem of DG placement deals with the size of DG and its location, but at the same time this placement must be economically justifiable. To gain benefits of DG placement, the DG must be optimally sized and placed. The paper uses analytical expressions for determination of optimal size and a methodology for optimal location of DG placement. The solar PV system is used as the distributed generator to be placed in primary distribution system for active power supply. The solar photovoltaic system is employed here as a type 1 distributed generator (DG) to supply active power to the distribution system. The methodology uses analytical expressions and is based upon the exact loss formula. Along with the optimal size and location, this paper also presents the economics of this placement considering loss reduction and capacity relieving of the distribution substation.
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01 Jan 2020
TL;DR: In this article, the authors proposed the methodology of successive optimization for placement of multiple DG units in primary distribution system, which is optimized for system loss minimization, and investigated the effect of DG units placement of same type and mix of DG types.
Abstract: Distributed generator (DG) size and site are an important aspect while deciding DG capacity introduction in distribution system. The paper proposes the methodology of successive optimization for placement of multiple DG units in primary distribution system. The placement is optimized for system loss minimization. The paper investigates the effect of multiple DG units placement of same type as well as the effect of a mix of DG types is also investigated.
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TL;DR: In this article, an analytical expression to calculate the optimal size and an effective methodology to identify the corresponding optimum location for DG placement for minimizing the total power losses in primary distribution systems is proposed.
1,060 citations
TL;DR: In this article, the optimal location to place a DG in radial as well as networked systems to minimize the power loss of the system has been investigated to obtain the maximum potential benefits.
Abstract: Power system deregulation and the shortage of transmission capacities have led to increased interest in distributed generation (DG) sources. Proper location of DGs in power systems is important for obtaining their maximum potential benefits. This paper presents analytical methods to determine the optimal location to place a DG in radial as well as networked systems to minimize the power loss of the system. Simulation results are given to verify the proposed analytical approaches.
1,042 citations
TL;DR: An improved analytical (IA) method based on IA expressions to calculate the optimal size of four different DG types and a methodology to identify the best location for DG allocation is proposed, and a technique to get the optimal power factor is presented for DG capable of delivering real and reactive power.
Abstract: This paper investigates the problem of multiple distributed generator (DG units) placement to achieve a high loss reduction in large-scale primary distribution networks. An improved analytical (IA) method is proposed in this paper. This method is based on IA expressions to calculate the optimal size of four different DG types and a methodology to identify the best location for DG allocation. A technique to get the optimal power factor is presented for DG capable of delivering real and reactive power. Moreover, loss sensitivity factor (LSF) and exhaustive load flow (ELF) methods are also introduced. IA method was tested and validated on three distribution test systems with varying sizes and complexity. Results show that IA method is effective as compared with LSF and ELF solutions. Some interesting results are also discussed in this paper.
689 citations
TL;DR: In this paper, the authors proposed analytical expressions for finding optimal size and power factor of four types of distributed generation (DG) units, i.e., real power, reactive power, real power and absorbing reactive power.
Abstract: This paper proposes analytical expressions for finding optimal size and power factor of four types of distributed generation (DG) units. DG units are sized to achieve the highest loss reduction in distribution networks. The proposed analytical expressions are based on an improvement to the method that was limited to DG type, which is capable of delivering real power only. Three other types, e.g., DG capable of delivering both real and reactive power, DG capable of delivering real power and absorbing reactive power, and DG capable of delivering reactive power only, can also be identified with their optimal size and location using the proposed method. The method has been tested in three test distribution systems with varying size and complexity and validated using exhaustive method. Results show that the proposed method requires less computation, but can lead optimal solution as verified by the exhaustive load flow method.
599 citations
TL;DR: In this paper, a method for placement of distributed generation (DG) units in distribution networks has been presented based on the analysis of power flow continuation and determination of most sensitive buses to voltage collapse.
Abstract: In this paper, a method for placement of distributed generation (DG) units in distribution networks has been presented. This method is based on the analysis of power flow continuation and determination of most sensitive buses to voltage collapse. This method is executed on a typical 34-bus test system and yields efficiency in improvement of voltage profile and reduction of power losses; it also may permit an increase in power transfer capacity, maximum loading, and voltage stability margin.
420 citations