Performance Enhancement of Grid-Connected Distribution Networks with Maximum Penetration of Optimally Allocated Distributed Generation Under Annual Load Variation

Das, Sandeep Kumar; Sarkar, Supriya; Das, Debapriya

doi:10.1007/s13369-022-06951-x

Cited by 6 publications

(6 citation statements)

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“…S. Devi [15], used the particle swarm optimization (PSO) for the optimal power flow and determine the optimal location and size of DG and DSTATCOM for the radial distribution network. In [16], discussed the adverse effects of the higher penetration of DG in the distribution network and high capacity DG causes upstream current flow in radial network to mitigate these problems power loss index (PLI), voltage stability index (VSI), short-circuit current deviation index (SCCDI) and su-station power index (SPI) was implemented for sizing and siting of DG with Particle Swarm Optimisation (PSO), Differential Evolution (DE) and Chaos-Based Particle Swarm Optimisation (CPSO) alogrithms.…”

Section: Dg Integrationmentioning

confidence: 99%

Optimized Load Flow Solution of An Active Distribution Feeder Under Diverse Loading

Kumar

Bhadoriya

et al. 2023

Preprint

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This article presents a load flow analysis strategy for an operational active distribution feeder network. ETAP is used for load flow calculation while MATLAB is utilized for optimized operation of feeder components. Integration of wind and photovoltaic (PV) distribution generator is considered along with static compensator capacitor banks. The optimal operation of the feeder network is achieved by analyzing the feeder parameters such as total power loss, nodal voltage drop, and reactive power requirement. Static capacitor banks operation is optimized using feeder parameters. Under-load and over-load scenarios are executed and tested to achieve real-life operational scenario of diverse loading. Standard IEEE-33 bus feeder network is used for this study. A wide range of scenarios are performed in the case study and results are presented in both graphical and numerical format.

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Section: Dg Integrationmentioning

confidence: 99%

Optimized Load Flow Solution of An Active Distribution Feeder Under Diverse Loading

Kumar

Bhadoriya

et al. 2023

Preprint

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“…These factors include higher power factor rate, lower reactive power value, lower losses, and lower pollution as a result of higher greenhouse gas emissions (GH). In general, the electric energy exported to the electric grid has a single power factor, but the increase in the number of DGs and their penetration into the electric grid can cause some problems [11].…”

Section: Introductionmentioning

confidence: 99%

Improving the protection system in the distribution networks integrated with photovoltaic cells by changing the ratio of X/R

Ali,

Alsmadi,

Baniyounes

2024

IJPEDS

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Due to the increased demand for electrical energy, many countries were prompted nowadays to search for new sources. One important source is the photovoltaic energy. However, despite the great benefits of this source, some defects where observed when linking to distribution networks (negative impact on the protection system). Hence, an approach of improving the protection system in distribution networks integrated with photovoltaic cells is presented in this paper. The protection system improvement is proposed by changing the impedance to resistance ratio (X/R) values of the networks cables, which leads to increasing the overcurrent relays' response speed when a fault occurs. A comparative analysis with different cable reactance values was conducted. The electrical transient analyzer program (ETAP) software was used to investigate and validate the effects on the relay’s response times. Amriya Fallujah power station, located in Iraq, was investigated as a case study. Simulation results show that it is possible to increase the response speed of the overcurrent relay by reducing X/R of the network cables. For more validation, the distance relay was used to compare the best improvement results of changing the X/R ratio with the results of changing the type of relay, which also shows the strength of the proposed method.

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“…Furthermore, one of the distinguishing factors of traditional RDNs has been the radiality constraint (Das et al, 2017). According to the literature, DN-centric asset optimization within system restriction primarily intends to siting and sizing of individual assets (Al-Sharafi et al, 2017;Das et al, 2022). On the one hand, the technical side intends to reduce system active/reactive power losses, improve voltage profiles, and maximize DG-based renewable energy penetration, short circuit levels, system stability, acceptable bidirectional power flows, and overall power quality (Al-Sharafi et al, 2017;Das et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…According to the literature, DN-centric asset optimization within system restriction primarily intends to siting and sizing of individual assets (Al-Sharafi et al, 2017;Das et al, 2022). On the one hand, the technical side intends to reduce system active/reactive power losses, improve voltage profiles, and maximize DG-based renewable energy penetration, short circuit levels, system stability, acceptable bidirectional power flows, and overall power quality (Al-Sharafi et al, 2017;Das et al, 2022). On the other hand, it aims to improve monetary benefits tend to reduce system loses and costs through optimal allocation of resources and optimal plaining to minimize the maintenance cost.…”

Section: Introductionmentioning

confidence: 99%

“…These approaches include traditional techniques, i.e., numerical methods, analytical methods, and deterministic methods, in addition to nature-inspired heuristic, meta-heuristic, and AI-inspired neural networks. However, in various scenarios and cases, such algorithms are subjected to achieve solutions which might lead to local optima (Kazmi et al, 2017a;Al-Sharafi et al, 2017;Kazmi et al, 2017b;Das et al, 2017;Javaid et al, 2019;Das et al, 2022;Mallala et al, 2023). However, the addition of further objectives or constraints can potentially increase the computational cost, and the results might not be the optimal result.…”

Section: Introductionmentioning

confidence: 99%

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Techno-economic evaluation of meshed distribution network planning with load growth and expansion with multiple assets across multiple planning horizons

Altamimi

2024

Front. Energy Res.

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The smart grid paradigm has ushered in an era where modern distribution systems are expected to be both robust and interconnected in topology. This paper presents a techno-economic-based sustainable planning (TESP) strategy, which can be used as a planning framework for linked distribution systems, seeking to discover a realistic solution among competing criteria of diverse genres. In this comparative analysis-based study, three voltage stability assessment indices—VSA_A, VSA_B, and VSA_W—and a loss minimization condition (LMC)-based framework are used in the initial stage to achieve optimal distributed generation (DG)-based asset optimization for siting, followed by sizing. The respective techniques are evaluated across two variants of multiple load growth horizons spread across 10 years. The suggested TESP technique is tested on two variants of a mesh-configured microgrid (MCMG) with varied load growth scenarios. One variant considers a 65-bus MG with a fixed load growth of 2.7% across two load growth horizons. The other variant considers a 75-bus MG with varied load growth across four load growth horizons, encapsulating an expansion-based planning perspective. The numerical results of the suggested TESP approach in a comparative study demonstrate its effectiveness, and it can be used by researchers and planning engineers as a planning framework for interconnected distribution tools across multiple planning horizons. The proposed study would contribute to enhancing the robustness and interconnectivity of smart grid distribution systems. This dual focus could lead to more cost-effective and reliable power distribution systems.

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Performance Enhancement of Grid-Connected Distribution Networks with Maximum Penetration of Optimally Allocated Distributed Generation Under Annual Load Variation

Cited by 6 publications

References 56 publications

Optimized Load Flow Solution of An Active Distribution Feeder Under Diverse Loading

Optimized Load Flow Solution of An Active Distribution Feeder Under Diverse Loading

Improving the protection system in the distribution networks integrated with photovoltaic cells by changing the ratio of X/R

Techno-economic evaluation of meshed distribution network planning with load growth and expansion with multiple assets across multiple planning horizons

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