Hosting Capacity Assessment in Electrical Power Distribution Systems Using Genetic Algorithm

Hanjalic, Merisa; Melić, Emina; Šarić, Mirza; Hivziefendić, Jasna

doi:10.1080/15325008.2023.2227180

Cited by 5 publications

(4 citation statements)

References 25 publications

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“…The HC increased to 96% during operating with lagging PF than operating with UPF condition. Similarly, the genetic algorithm (GA) was applied to calculate the HC under variable PF operation [112]. The results depicted more HC accommodation in the LVDSs during operating at non-unity PFs and the study can be expanded using various approaches of HC enhancement.…”

Section: ) Power Factormentioning

confidence: 99%

A Comprehensive Review on Recent Developments of Hosting Capacity Estimation and Optimization for Active Distribution Networks

Mousa,

Mahmoud,

Lehtonen

2024

IEEE Access

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Recently, several types of distributed energy resources (DERs) have been developed to reduce the environmental impact and support the global demand for electrical energy. However, the continuous penetration of the DERs into modern power systems (MPSs) may cause several adverse impacts in terms of operation performance indices (PIs) and power quality issues, especially in low-voltage distribution systems (LVDSs). To cope with these serious impacts and achieve optimal control, the hosting capacity (HC) of DERs must be accurately estimated and optimally optimized. However, it requires an extensive communication infrastructure, which is hardly offered without clear financial benefits. In this regard, this article investigates the historical developments of HC definitions as well as the recent developments in terms of operational performance indices, and estimation methods for active distribution networks (ADNs) with the highpenetration level existence of the DERs, energy storage systems (ESSs), electric vehicle (EV) charging systems, sector coupling, hydrogen technologies, and multi-carrier energy systems (MESs) to deal with electrical, thermal, and cooling demands. In this regard, this review article is intended to exhibit an appropriate reference for comprehensive research trends in HC estimation and optimization based on ADNs. Additionally, it involves and covers most current research HC topics in detail compared to other published review articles. Moreover, the authors deliberate the recent approaches for evaluating and improving the HC, especially concerning data-driven methods, with the aid of various software for simulating real systems. Moreover, modern research trends and main factors of MPS operations are deliberated with current energy market developments. Also, prominent challenges, current status, and future aspects are discussed.

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Section: ) Power Factormentioning

confidence: 99%

A Comprehensive Review on Recent Developments of Hosting Capacity Estimation and Optimization for Active Distribution Networks

Mousa,

Mahmoud,

Lehtonen

2024

IEEE Access

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“…The proposed DG allocation methods are tested on the realistic network used in [23]. Loads are modelled daily in timeseries form in OpenDSS as a power conversion component…”

Section: Load and Generation Modelling Using Opendssmentioning

confidence: 99%

“…Power factor has a limit of 1. The typical daily production curve from PV system connected to the EPDS and typical load curve are presented in [23].…”

Section: Load and Generation Modelling Using Opendssmentioning

confidence: 99%

“…Analysed network is modelled by using OpenDSS and Matlab softwares connected through the COM interface. Main contribution of this paper consists of the following: 1) Design, application and testing of a DG allocation method for loss reduction performed on a model realistic distribution network [23] currently operated by the DSO, which can be applied and used in realistic planning and regulatory situations. 2) Application of Open-source software, which provides replicability and reduction of uncertainty due to greater precision of load and PV system modelling when compared with traditional power flow simulation tools used by DSO.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Distributed Generation Allocation in Distribution Network for Energy Losses Reduction

Melić,

Hanjalić,

Šarić

et al. 2023

B&H Electrical Engineering

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This paper presents a method for distributed generation (DG) allocation in medium voltage (MV) distribution system based on energy loss minimization. The main objective of the research is to design, implement and test a DG allocation (siting and sizing) method and to investigate how optimal DG allocation influence the operational parameters of the system from the Distribution System Operator (DSO) perspective. The problem is formulated as a single objective optimization problem solved by using both genetic algorithm and particle swarm optimization techniques. Model of a realistic Electric Power Distribution System (EPDS) and IEEE 37-bus EPDS are used as test systems. The results confirm that proposed algorithms can be used for practical DG allocation. The research presented contributes to the field as it provides a DG allocation method for energy loss reduction performed on a EPDS which can be applied in realistic planning and regulatory situations using open-source software.

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Hosting Capacities in Distribution Network Considering Harmonic Emissions

Majdanac,

Šarić,

Hivziefendić

et al. 2024

Lecture Notes in Networks and Systems

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Hosting Capacity Assessment in Electrical Power Distribution Systems Using Genetic Algorithm

Cited by 5 publications

References 25 publications

A Comprehensive Review on Recent Developments of Hosting Capacity Estimation and Optimization for Active Distribution Networks

A Comprehensive Review on Recent Developments of Hosting Capacity Estimation and Optimization for Active Distribution Networks

Distributed Generation Allocation in Distribution Network for Energy Losses Reduction

Hosting Capacities in Distribution Network Considering Harmonic Emissions

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