An Empirical Metaheuristic Assessment for Solving of Multi-type Distributed Generation Allocation Problem

Rahman, Yuli Asmi; Manjang, Salama; Yusran, .; Ilham, Amil Ahmad

doi:10.1109/isriti.2018.8864438

Cited by 6 publications

(5 citation statements)

References 20 publications

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“…The utilize of DG can bring a better condition in the RDS, such as a improve profile of voltage bus and losses are lowered [48]. In this study, PQ is negative for DG integration modeling in the system which can be illustrated in Figure 4.…”

Section: Integrating Dg Into Rdsmentioning

confidence: 78%

Optimal inverter-based distributed generation in ULP Way Halim considering harmonic distortion

Sofyan,

Faraby,

Akhmad

et al. 2023

IJECE

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Integration of distributed generation (DG) based on the use of new renewable energy is considered to be able to increase the capability of the electric power distribution system. However, the use of inverter-based DG is not optimal, it can worsen the condition of the system, especially in terms of the spread of harmonic distortion which can damage the equipment. This is due to the inverter-based DG technology, apart from supplying electrical energy, DG also injects harmonic currents from existing semiconductor components. This research discusses optimization placement of inverter-based DG using the multi objective particle swarm optimization (MOPSO) method which was tested on the Unit Layanan Pelaksana (ULP) Way Halim 88-bus radial distribution system based on MALTAB 2020b to increase the efficiency of the electrical system by reducing losses and %THDv. The inverter-based DG placed on 24 bus points with a capacity of 690 kW can reduce losses by up to 12.74 kW or 14.96% and all %THDv values for each bus are below 5%.

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Section: Integrating Dg Into Rdsmentioning

confidence: 78%

Optimal inverter-based distributed generation in ULP Way Halim considering harmonic distortion

Sofyan,

Faraby,

Akhmad

et al. 2023

IJECE

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“…In the distribution system, the implementation of DG is one of the breakthroughs that is able to maintain and improve the quality of electrical power in the radial distribution system [14], [15]. However, if the DG installation is carried out with a size and location that is not optimal, it can cause increased power losses, decreased quality of electrical power, and stability problems in the system [16], [17].…”

Section: Introductionmentioning

confidence: 99%

“…2,5,12,15,17,18,19,26,27,31,32,37, 42, 44, 51, 53, 54, 57, 60, 61, 62, 66, 69, 70, 73, 80, 83, 86, 87, and 88 and inverter-based DG which will be injected into bus 3, 8, 23, 25, 38, 43, 68, 77 and 84 each with a size of 45 kWatt. The value of the injection of harmonic currents from the two types of harmonic sources is shown in Table2.…”

mentioning

confidence: 99%

Determination of location and capacity of distributed generations with reconfiguration in distribution systems for power quality improvement

Penangsang

Cahyonoputra²,

Putra³

et al. 2023

IJECE

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The use of non-linear loads and the integration of renewable energy in electricity network can cause power quality problems, especially harmonic distortion. It is a challenge in the operation and design of the radial distribution system. This can happen because harmonics that exceed the limit can cause interference to equipment and systems. This study will discuss the determination of the optimal location and capacity of distributed generation (DG) and network reconfiguration in the radial distribution system to improve the quality of electric power, especially the suppression of harmonic distribution. This study combines the optimal location and capacity of DG and network reconfiguration using the particle swarm optimization method. In addition, this research method is implemented in the distribution system of Bandar Lampung City by considering the effect of using nonlinear loads to improve power quality, especially harmonic distortion. The inverter-based DG type used considers the value of harmonic source when placed. The combination of the proposed methods provides an optimal solution. Increased efficiency in reducing power losses up to 81.17% and %total harmonic distortion voltage (THDv) is below the allowable limit.

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“…In contrast, an adequate process of mutation and crossover of the genetic algorithm (GA) population has proven to have a good ability to find a global solution within a large range of possible values [20]. GAs have been used for optimization purposes for power network reconfiguration [21], fault diagnosis [22], volt/VAR optimization [20], economic load dispatch [23], renewable resource allocation and sizing [24], and demand response [25], among others. In the field of energy communities, buildings, and microgrids, GAs have been tested to shift the connection of appliances in a home energy management system [26], to size energy resources [27], and also for EMS [28][29][30].…”

Section: Introductionmentioning

confidence: 99%

A Genetic Algorithm for Residential Virtual Power Plants with Electric Vehicle Management Providing Ancillary Services

González-Romera,

Romero-Cadaval,

Roncero-Clemente

et al. 2023

Electronics

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Virtual power plants are a useful tool for integrating distributed resources such as renewable generation, electric vehicles, manageable loads, and energy storage systems under a coordinated management system to obtain economic advantages and provide ancillary services to the grid. This study proposes a management system for a residential virtual power plant that includes household loads, photovoltaic generation, energy storage systems, and electric vehicles. With the proposed management system, the virtual power plant is economically optimized (as in commercial virtual power plants) while providing ancillary services (as in technical virtual power plants) to the distribution grid. A genetic algorithm with appropriate constraints is designed and tested to manage the energy storage system and the charge/discharge of electric vehicles, with several economic and technical objectives. Single-objective optimization techniques are compared to multi-objective ones to show that the former perform better in the studied scenarios. A deterministic gradient-based optimization method is also used to validate the performance of the genetic algorithm. The results show that these technical targets (usually reserved for larger virtual power plants) and economic targets can be easily managed in restricted-sized virtual power plants.

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An Empirical Metaheuristic Assessment for Solving of Multi-type Distributed Generation Allocation Problem

Cited by 6 publications

References 20 publications

Optimal inverter-based distributed generation in ULP Way Halim considering harmonic distortion

Optimal inverter-based distributed generation in ULP Way Halim considering harmonic distortion

Determination of location and capacity of distributed generations with reconfiguration in distribution systems for power quality improvement

A Genetic Algorithm for Residential Virtual Power Plants with Electric Vehicle Management Providing Ancillary Services

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