Multi-Objective Reactive Power Optimization of Distribution Network with Distributed Generation

Hui, Zhao; Luan, Zhaowen; Guo, Sixin; Han, Chunpeng

doi:10.1051/matecconf/20165506009

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…EP-EPSO has advanced quality, better optimal cost, and higher convergence rate [9]. Multiobjective functions assisted in the analysis of voltage control methodology carried out by Liang et al [10] and Zhao et al [11]. However, the aforementioned algorithms lacks in providing the best fit with respect to limited time duration.…”

Section: Related Workmentioning

confidence: 99%

Reactive power optimization in a power system network through metaheuristic algorithms

Sivalingam¹,

Ramachandran²,

Rajamani³

2017

Turk J Elec Eng & Comp Sci

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Abstract:Reactive power optimization (RPO) in a power system is a rudimentary necessity for the reduction of the loss of power. For the requirement of a unity power factor in the RPO system, the reduction of the system losses is ensured.The pivotal requirements of a power system are inclusive of a perfect compensation technique and methodology for stable reactive power compensation. The proposed concept in this paper utilizes the different reactive power optimization algorithms and performs a comparison. The process is accomplished by the use of IEEE 6-bus, 14-bus, and 30-bus systems to test the optimization technique. The conclusive information reinforces the outperformance of the based optimization algorithm to the other algorithm, thereby providing high stability to the system. The algorithm ensures the confinement of the voltage profile of the system within the permissible limits.

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Section: Related Workmentioning

confidence: 99%

Reactive power optimization in a power system network through metaheuristic algorithms

Sivalingam¹,

Ramachandran²,

Rajamani³

2017

Turk J Elec Eng & Comp Sci

View full text Add to dashboard Cite

show abstract

“…The access of distributed power supply to distribution network will change the distribution of power flow in distribution network and aggravate the voltage deviation of distribution network [1] . In order to rationally use the distributed power supply, stabilize the voltage deviation and realize the system energy saving, it is necessary to optimize the power flow distribution of the distribution network.…”

Section: Introductionmentioning

confidence: 99%

Research on second-order cone relaxation algorithm for multi-time linearization of distribution networks with distributed power sources

2023

AJETS

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Distributed power supply connected to distribution network brings impact on system voltage distribution as well as tidal current analysis, which causes degradation of system power quality. For this reason, a system optimization model is needed to analyze and optimize system voltage and tidal current. The linearized second-order cone relaxation optimization algorithm for distribution networks with distributed power sources is proposed. First, the distribution network branch tide model is introduced to analyze the tide of the distribution network with distributed power supply access; based on this, the distributed distribution network tide optimization model is established. Secondly, the distributed distribution network tidal optimization model is simplified, and the multi-time second-order cone relaxation optimization algorithm is proposed for the non-convex nonlinearity in tidal analysis, and the segmental linearization is performed for the non-convex nonlinearity of capacitor bank and on-load regulator transformer. Finally, a modified IEEE33 node test system is used on the MATLAB simulation platform to verify the tidal optimization of this distributed distribution network tidal optimization system. The simulation results show that the tidal optimization algorithm can reasonably dispatch the output of on-load regulating transformers, capacitor banks and distributed power sources, effectively reduce the network loss and the voltage deviation of the grid.

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Optimal Multi-Objective Placement and Sizing of Distributed Generation in Distribution System: A Comprehensive Review

et al. 2022

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For over a decade, distributed generations (DGs) have sufficiently convinced the researchers that they are the economic and environment-friendly solution that can be integrated with the centralized generations. The optimal planning of distributed generations requires the appropriate location and sizing and their corresponding control with various power network types to obtain the best of the technical, economical, commercial, and regulatory objectives. Most of these objectives are conflicting in nature and require multi-objective solutions. Therefore, this paper brings a comprehensive literature review and a critical analysis of the state of the art of the optimal multi-objective planning of DG installation in the power network with different objective functions and their constraints. The paper considers the adoption of optimization techniques for distributed generation planning in radial distribution systems from different power system performance viewpoints; it considers the use of different DG types, distribution models, DG variables, and mathematical formulations; and it considers the participation of different countries in the stated DG placement and sizing problem. Moreover, the summary of the literature review and critical analysis of this article helps the researchers and engineers to explore the research gap and to find the future recommendations for the robust optimal planning of the DGs working with various objectives and algorithms. The paper considers the adoption of uncertainties on the load and generation side, the introduction of DGs with energy storage backups, and the testing of DG placement and sizing on large and complex distribution networks

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Multi-Objective Reactive Power Optimization of Distribution Network with Distributed Generation

Cited by 3 publications

References 3 publications

Reactive power optimization in a power system network through metaheuristic algorithms

Reactive power optimization in a power system network through metaheuristic algorithms

Research on second-order cone relaxation algorithm for multi-time linearization of distribution networks with distributed power sources

Optimal Multi-Objective Placement and Sizing of Distributed Generation in Distribution System: A Comprehensive Review

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