Joint reconfiguration of feeders and allocation of capacitor banks in radial distribution systems considering voltage-dependent models

Home-Ortiz, Juan M.; Vargas, Renzo; Macedo, Leonardo H.

doi:10.1016/j.ijepes.2018.11.035

Cited by 46 publications

(21 citation statements)

References 39 publications

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“…In [153], a Hybrid WIPSO-GSA algorithm has been proposed in distribution systems considering feeder failure rate. Feeders reconfiguration and SCBs placement done by Mixed-integer second-order cone programming model [154]. The authors proposed a methodology for the sustainable operation of distribution systems along with sitting and sizing of SCBs and dispatchable DGs.…”

Section: Multi-dimensional Problemsmentioning

confidence: 99%

An Extensive Literature Review and New Proposal on Optimal Capacitor Placement in Distribution Systems

Mostafa

Shingh

Haque

2020

JEA

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The main goal of power utilities is to supply reliable and quality power to the end-users and fulfill their total demands at all possible locations. Most of the loads are connected in the distribution systems are inductive. The excessive reactive power demand over the distribution network causes tremendous reactive power losses and changes the voltage profile, hence the system's reliability. Shunt Capacitor Bank (SCB) is widely used in the distribution system for reactive power support, voltage profile, and system performance improvement. But there are some challenges to employ SCB in the distribution network; among them, ensuring the most optimum location and size is a big challenge to get the maximum benefits. Some existing techniques showed better loss reduction but needed either larger SCBs sizes or cause improper node voltage. In this research study, the first section provides an extensive literature review of optimal SCBs placement and sizing. Later on, a new technique called Combinatorial Method has been developed for sizing and sitting of optimal Shunt Capacitors to reduce the distribution loss significantly. The developed method was tested for different case studies using Indian practical 22-bus and IEEE-69-bus network. The results were compared with DSA, Fuzzy GA, and TLBO method and found better distribution feeder loss minimization and voltage profile improvement.

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Section: Multi-dimensional Problemsmentioning

confidence: 99%

An Extensive Literature Review and New Proposal on Optimal Capacitor Placement in Distribution Systems

Mostafa

Shingh

Haque

2020

JEA

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“…For each power flow variable P and Q, two nonnegative auxiliary variables are used, as (26). The absolute value of power flow variables is represented as the sum of these auxiliary variables that is equal to the summation of discretization variables in (27). These discretization variables are limited by (28), while the slope of each segment is calculated via (29).…”

Section: Mixed-integer Linear Programming Modelmentioning

confidence: 99%

Voltage‐dependent load model‐based short‐term distribution network planning considering carbon tax surplus

Melgar‐Dominguez¹,

Pourakbari‐Kasmaei

Lehtonen

et al. 2019

IET Generation, Transmission & Distribution

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Nowadays, strategies to cope with environmental issues play a crucial role in the development of planning methodologies for electric distribution networks (EDNs). The primary goal of these methodologies is to find the equilibrium point, for which the EDN provides a high-quality service with the most environmentally-committed operation. Based on this fact, an alternative strategic approach for short-term EDN planning is presented in this manuscript. This decision-making scheme is based on classical investment actions to enhance the EDN performance in which the investment and operating costs, as well as the carbon tax surpluses, are minimized simultaneously. In this regard, unlike the traditional short-term planning methods and to explore a more accurate approach, the electricity demand is represented by the voltage-dependent exponential load model. By using this representation, substantial benefits related to energy saving can be achieved. To validate the proposed planning scheme, several test cases considering constant power demand and the voltage-dependent representation are widely studied on a 135-node distribution network. Additionally, the scalability of the proposed planning scheme is studied by using two medium distribution networks of 42-and 417-node. Numerical results confirm the robustness and applicability of the presented approach as an appropriate way of promoting to an efficient and low carbon tax surplus network.

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“…The simultaneous optimal network reconfiguration and capacitor bank placement is studied in [14], [15]. The integration of capacitors and renewable energy sources into the distribution systems is analyzed in [16].…”

Section: Introductionmentioning

confidence: 99%

A Two-Loop Hybrid Method for Optimal Placement and Scheduling of Switched Capacitors in Distribution Networks

et al. 2020

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This paper presents a method to find the optimal size and place of the switched capacitors using a hybrid optimization algorithm. The objective function includes the active and reactive power of power plants, the capital and maintenance costs of capacitor banks, and the cost of active and reactive power losses in distribution lines and transformers. The impact of the load model on the optimal sizing and placement of switched capacitors is studied using three different scenarios: In the first scenario, all loads are voltage-dependent; in the second scenario, only a portion of loads are voltage-dependent; in the third scenario, all loads are voltage-independent. The proposed hybrid algorithm incorporates an outer and two inner optimization layers. The outer layer is executed by a genetic algorithm (GA), while the inner layer is performed by a GA, an exchange market algorithm (EMA), or a particle swarm optimization (PSO). The performance of GA-GA, GA-EMA, and GA-PSO hybrid schemes are compared on an IEEE 33-bus test system. Moreover, IEEE 33-bus and 69-bus networks are used to verify the effectiveness of proposed hybrid scheme against the gravitational search algorithm (GSA), a combination of PSO and GSA (PSOGSA), cuckoo search algorithm (CSA), teaching learning-based optimization (TLBO), and flower pollination algorithm (FPA). The results highlight the advantage of the proposed hybrid optimization scheme over the other optimization algorithms. INDEX TERMS Exchange market algorithm (EMA), genetic algorithm (GA), particle swarm optimization (PSO), radial distribution system (RDS), switched capacitors.

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Joint reconfiguration of feeders and allocation of capacitor banks in radial distribution systems considering voltage-dependent models

Cited by 46 publications

References 39 publications

An Extensive Literature Review and New Proposal on Optimal Capacitor Placement in Distribution Systems

An Extensive Literature Review and New Proposal on Optimal Capacitor Placement in Distribution Systems

Voltage‐dependent load model‐based short‐term distribution network planning considering carbon tax surplus

A Two-Loop Hybrid Method for Optimal Placement and Scheduling of Switched Capacitors in Distribution Networks

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