GA based optimal location and size of the distributed generators in distribution system for different load conditions

Shivarudraswamy, R.; Gaonkar, D. N.; Jayalakshmi, N. S.

doi:10.1109/icpeices.2016.7853256

Cited by 12 publications

(9 citation statements)

References 7 publications

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“…Similarly, a GA technique was used to find optimal sites of DGs in refs. [1,[42][43][44][45][46]. The main limitation of GAs for siting DGs is that they cannot guarantee optimality due to their premature convergence to local minima [47].…”

Section: State-of-the-art In Siting Power Grid Assetsmentioning

confidence: 99%

Siting of small modular reactors with renewable power generation support

Shrestha¹,

Al‐Anbagi

Wagner

2022

IET Renewable Power Gen

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Selecting suitable sites for new distributed generation installations is a critical step for long‐term efficient power generation planning. Locating distributed generations involves studying many factors such as economic, social, environmental, geographic, availability of electrical infrastructure etc. In this paper, a novel system based on the analytical hierarchy process (AHP) and fuzzy AHP (FAHP) are developed to select proper sites for small modular reactor (SMR) power generation units. Renewable energy generation, electrical and non‐electrical loads, existing and retiring generation, transmission lines, and switching stations in location‐dependent scenarios are considered to determine preferable sites. Realistic simulation scenarios are developed to validate the top two locations from the AHP and FAHP SMR siting results using a power system model to show renewable generation and non‐electrical applications support. It is assumed that the surplus power from SMR units is utilised for non‐electrical applications in the selected locations. Moreover, the quality of support for non‐electrical applications are compared with the integration of SMR units to both wind and solar energy.

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Section: State-of-the-art In Siting Power Grid Assetsmentioning

confidence: 99%

Siting of small modular reactors with renewable power generation support

Shrestha¹,

Al‐Anbagi

Wagner

2022

IET Renewable Power Gen

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“…The losses are reduced to a minimum amount by increasing the installed generator's size [5] [6]. The selection of the suitable site of distributed generators in the system also plays a leading role in reducing the active power losses [7], interactive and interactive.…”

Section: Introductionmentioning

confidence: 99%

Microgrid Optimum Identification Location Based on Accelerated Particle Swarm Optimization Techniques Using SCADA System

Abood¹,

Ali²,

Attia³

et al. 2021

JPEE

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The microgrid has become significant and commonly used; it has localized electricity sources and loads connected to a centralized electrical power network system when the need arises and disconnects to island mode. A microgrid can effectively be integrated with various distribution generators, which can improve the voltage level on the transmission line by reducing the real power losses. In this work, new technologies will permit power grids to be better prepared for future requirements. The numbers and diversity of such decentralized power plants require a new type of management in the operation of power grids and intelligent networks or "smart grid." A SCADA system will improve coordination between power demand and generation and use of modern information technology such as the internet, sensors, controllers, and wireless transmission equipment and use smart metering. The Accelerated Particle Swarm Optimization technique will be used to select the optimum location of a wind turbine to install in the power grid considering minimum power losses with optimal operation consideration of the number of iterations, the execution time of the program, and the memory capacity. The analysis and the study are carried out in MATLAB and the SCADA system.

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“…In [5] and [6], the authors applied the Genetic Algorithms (GA) for DER allocation and sizing in order to improve the voltage profile and to reduce power losses. In [1], [7] and [8], the Particle Swarm Optimization (PSO) was used for the same purpose.…”

Section: Introductionmentioning

confidence: 99%

Optimized Allocation and Sizing of Distributed Energy Resource in Distribution Systems Using Cuckoo Search Algorithm

Ferraz¹,

Ferraz²,

Rueda-Medina³

et al. 2021

XIX Conferência De Estudos Em Engenharia Elétrica

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The Distributed Energy Resources (DER) emerged as an alternative to centralized generation since it presents numerous economic and operational benefits, such as, power loss reduction, voltage profile improvement, and relieved system's congestion. These benefits can be obtained by optimized sizing and placement of the DER; however, an improper DER integration can generate problems regarding the levels of current, voltage and power factor of the network. In this paper, the Cuckoo Search (CS) metaheuristic algorithm was applied to solve the allocation and sizing problem in IEEE 13 and 34 node test feeders in order to improve the voltage profile. The results were compared with the Particle Swarm Optimization (PSO) and Genetic Algorithms (GA) with the purpose of validating the CS method. Finally, it was possible to conclude that CS algorithm presented satisfactory results, meeting all constraints regarding the amount of DER, voltage levels and operational limits.

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GA based optimal location and size of the distributed generators in distribution system for different load conditions

Cited by 12 publications

References 7 publications

Siting of small modular reactors with renewable power generation support

Siting of small modular reactors with renewable power generation support

Microgrid Optimum Identification Location Based on Accelerated Particle Swarm Optimization Techniques Using SCADA System

Optimized Allocation and Sizing of Distributed Energy Resource in Distribution Systems Using Cuckoo Search Algorithm

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