Optimum allocation of multiple type and number of DG units based on IEEE 123-bus unbalanced multi-phase power distribution system

Cikan, Murat; Cikan, Nisa Nacar

doi:10.1016/j.ijepes.2022.108564

Cited by 13 publications

(4 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is the minimum loss reduction obtained with this method. As compared to Cikan and co‐workers [8–10,28], the kW loss reduction obtained is 51.8%, 53.3%, 55.1% and 52.2%, respectively. It has been analysed that the total power loss reduction is 58.13% and the voltage profile improvement is 0.99 p.u.…”

Section: Results Analysismentioning

confidence: 62%

“…A method utilizing the equilibrium optimizer algorithm is suggested to ascertain the placement, capacity, connection configuration and PF settings of three distinct categories of DGs. This approach is applied to an unbalanced three‐phase 123‐bus power distribution network [8]. A comparison of such work presented by different authors using various optimization techniques is presented in Table 11 below.…”

Section: Results Analysismentioning

confidence: 99%

See 1 more Smart Citation

Distributed generator and capacitor‐embedded reconfiguration in three‐phase unbalanced distribution systems using teaching learning‐based optimization

Mehroliya,

Arya

2023

Comp Applic In Engineering

View full text Add to dashboard Cite

In the transmission and distribution networks, both active and reactive power play significant roles. While active power does the beneficial work, reactive power maintains the voltage that necessitates management from a system reliability perspective. The voltage variation from the nominal range may result in unintentional operation and early component failure. To maximize the amount of real power that can be transported over the power‐transmitting media, the system must also control reactive power flow. In a three‐phase unbalanced distribution system reinforced with distributed generator units (DGUs) and shunt capacitor units (SCUs), this paper suggests a teaching learning‐based optimization (TLBO) approach to be applied to combinatorial problems for simultaneous reduction of real power loss and net reactive power flow, enhance voltage stability index (VSI) and minimize aggregated voltage deviation index. A multiobjective formulation based on TLBO has been implemented to choose the ideal sizes and placements of DGUs and SCUs in large distribution networks. The case studies have been carried out on an IEEE 33‐bus standard system and a large 123‐bus unbalanced system. The analysis of the IEEE 33‐ and 123‐bus test systems reveals the economic efficiency of the suggested TLBO algorithm. Notably, by applying DG and capacitor simultaneously in the 33‐bus system, a significant reduction of 59.35%, 55.05%, and 50.76% (phases a, b, and c), and for the 123‐bus system, a significant reduction of 43.65%, 19%, and 48.65% (phases a, b, and c) in total active power losses have been achieved. The results suggest that the proposed method renders significant improvement in voltage stability and reduces power losses concerning the base case for both test systems.

show abstract

Section: Results Analysismentioning

confidence: 62%

Section: Results Analysismentioning

confidence: 99%

Distributed generator and capacitor‐embedded reconfiguration in three‐phase unbalanced distribution systems using teaching learning‐based optimization

Mehroliya,

Arya

2023

Comp Applic In Engineering

View full text Add to dashboard Cite

show abstract

“…In addition, the authors highlight the need for future work that integrates other optimization techniques while addressing the problem from a multi-objective perspective, thus allowing to simultaneously optimize different aspects. • Cikan et al [117] propose a methodology to determine the location, size, connection type, and power factor of three different technologies related to the installation of DG installation in unbalanced three-phase systems. This methodology is based on the equilibrium optimization (EO) algorithm, which is inspired by the behavior of animals in nature.…”

Section: A Strategies Addressing the Integration And Management Of A ...mentioning

confidence: 99%

On Integrating and Operating Distributed Energy Resources in Distribution Networks: A Review of Current Solution Methods, Challenges, and Opportunities

Guzmán-Henao,

Bolaños,

Montoya

et al. 2024

IEEE Access

View full text Add to dashboard Cite

The growing demand for electric power and the need for an energy transition that contributes to the reduction of global greenhouse gas emissions have driven the development of various energy generation, storage, and offset technologies. These technologies are known as distributed energy resources. Their integration into distribution power systems not only contributes to improving operating aspects, but also allows supplying electricity to areas that do not have access to large-scale power systems. Therefore, the integration and management of these resources has become a topic of interest, and several studies seek to optimize their impact on technical, economic, and environmental aspects. However, this optimization poses specific challenges related to the type and number of variables related to the operation of a distribution power system. This review article aims to describe the main challenges posed by three-phase AC threephase distribution power systems under scenarios involving the integration of distributed energy resources. In addition, it presents some approaches proposed by different authors to improve the technical, economic, and environmental aspects of power grids. It can be stated that the strategies presented in the literature fail to consider scenarios that simultaneously integrate different types of technologies and optimize them while following a multi-objective approach and considering three-phase systems in a context of variable generation and demand. Therefore, future work in this field should address these aspects in a holistic manner, taking into account the computation efforts and processing times required by intelligent algorithms.INDEX TERMS Electrical mathematical model, DERs, DG, Energy costs, CO 2 emissions, Energy losses, BESS.

show abstract

“…To solve the optimization problem, a binary PSO method has been introduced. In [15], optimal planning of DG and battery energy storage system (BESS) has been investigated to reduce losses and improve reliability. For this aim, a multi-objective evolutionary algorithm based on decomposition (MOEA/D) has been introduced for reduction of the energy not supplied (ENS).…”

Section: Introductionmentioning

confidence: 99%

An efficient optimization framework for distribution network planning by simultaneous allocation of photovoltaic distributed generations and transformers

Alipour,

Askarzadeh

2023

IET Renewable Power Gen

View full text Add to dashboard Cite

Among the distribution network planning problems, allocation of transformers is one of the most important and challenging ones. On the other hand, owing to the widespread growth of distributed generations (DGs), their inclusion in the planning problems is vital. This paper proposes an efficient optimization framework for simultaneous allocation of photovoltaic (PV) systems and service transformers in the distribution network. For this aim, to improve the network performance, location and size of the transformers and PV units are optimally determined. Due to the difficulty of the planning problem, four variants of crow search algorithm (CSA) including original CSA, differential CSA (CSAd), directed differential CSA (CSAdd) and chaotic directed differential CSA (CSAcdd) are introduced and applied to the planning problem. To evaluate the impact of PV cost on the results, the planning problem is solved considering different PV system costs. Simulation results show that at the price of $1.25/W, installation of PV systems is cost‐effective, so that over the case study, 400 kW PV system was installed. By decreasing the PV price to $1.2/W, the maximum capacity considered for a PV system is installed. Moreover, on average, CSAd produces more accurate and robust results than the other studied algorithms.

show abstract

Optimum allocation of multiple type and number of DG units based on IEEE 123-bus unbalanced multi-phase power distribution system

Cited by 13 publications

References 34 publications

Distributed generator and capacitor‐embedded reconfiguration in three‐phase unbalanced distribution systems using teaching learning‐based optimization

Distributed generator and capacitor‐embedded reconfiguration in three‐phase unbalanced distribution systems using teaching learning‐based optimization

On Integrating and Operating Distributed Energy Resources in Distribution Networks: A Review of Current Solution Methods, Challenges, and Opportunities

An efficient optimization framework for distribution network planning by simultaneous allocation of photovoltaic distributed generations and transformers

Contact Info

Product

Resources

About