Sensitivity-based dispatch of DG for voltage control

Abbott, Steve; Fox, B.; Morrow, D. John

doi:10.1109/pesgm.2014.6939175

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…The location and injecting capacity are not properly designed, the power losses would increase and harm the stability of the system [2]. The adverse effects of installing DG are well known [3][4][5]. In distribution network there may exist many sizes of the distributed generator and also their location may be different.…”

Section: Introduction mentioning

confidence: 99%

A Method for Distributed Generator Dispatch Strategy in Distribution Network

Asaduzzaman¹,

Rahaman²,

Reza³

et al. 2018

JEE

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Since a load of power system changes continuously, the generation also adjusted for supply-demand balance purpose. If there exist more distributed generators in the distribution network, the dispatch strategy becomes more crucial. The possibility of having numerous controllable microgrids, diesel generator (DG) units and loads for microgrids (MGs) system requires an efficient dispatch strategy in order to balance supply demand for reducing the total cost of the integrated system. In this paper, a method for the dispatch of the distributed generator in distributed power systems has been proposed. The dispatch strategy is such that it keeps a flat voltage profile, reduces the network losses, increases the maximum loading and voltage security margin of the system. The procedure is based on the analysis of continuous power flow. The method is executed on a 34-bus test system. The MATLAB based PSAT packages are used for simulation purpose.

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Section: Introduction mentioning

confidence: 99%

A Method for Distributed Generator Dispatch Strategy in Distribution Network

Asaduzzaman¹,

Rahaman²,

Reza³

et al. 2018

JEE

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“…The existing inflexible voltage control strategies in LV and MV networks, the growing penetration of distributed energy resources into distribution networks (DN), and sudden load increases due to electric vehicle charging may lead to various issues, such as those related to stability, protective devices, and voltage regulation [17][18][19][20]. Interferences may cause overvoltages, undervoltages, higher system losses, and a shortened life cycle of the on-load tap changer (OLTC) [3,21].…”

Section: Introductionmentioning

confidence: 99%

“…To mitigate the voltage control issue, scientific articles mainly focus on the following three aspects: active power control (APC), reactive power control (RPC), and active and reactive power coordination control (A/RC) [2]. Based on a coordinated approach to voltage profile control in power lines, the reactive power resources of the generator must be regulated so that all voltages are kept within range without unduly affecting their operation [17]. It is therefore necessary to properly plan for the penetration of variable RES in order to meet the techno-economic criteria for the DN operation, including loss reduction, voltage stability improvement, voltage profile enhancement, etc.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Voltage and Reactive Power Algorithms in Low Voltage Networks

Stanelytė

Radziukynas

2022

Energies

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The rapid development of renewable energy sources and electricity storage technologies is further driving the change and evolution of traditional energy systems. The aim is to interconnect the different electricity systems between and within countries to ensure greater reliability and flexibility. However, challenges are faced in reaching it, such as the power grid complexity, the system control, voltage fluctuations due to the reverse power flow, equipment overloads, resonance, incorrect island setting, and the diversity of user needs. The electricity grid digitalization in the market also requires the installation of smart devices to enable real-time information exchange between the generator and the user. Inverter-based distributed generation (DG) may be used to control the grid voltage. Smart PV inverters have the capability to supply both inductive and capacitive reactive power to control the voltage at the point of interconnection with the grid, and only technical parameters of smart PV inverters limit this capability. Reactive power control is related to ensuring the quality of voltage in the electricity distribution network and compensating reactive power flows, which is a technical–economic aspect. The goal of this research is to present an analysis of controllers that supply reactive power to the electrical grid via PV systems. This research analyzes recent research on local, centralized, distributed, and decentralized voltage control models in distribution networks. The article compares various approaches and highlights their advantages and disadvantages. The voltage control strategies and methodologies mentioned in the article can serve as a theoretical foundation and provide practical benefits for PV system development in distribution networks. The results of the research show that the local voltage control approach, as well as linear and intelligent controllers, has great potential.

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An Optimization Approach Based on Improved Artificial Bee Colony Algorithm for Location and Capacity of Grid-Connected Photovoltaic Systems

Wang¹,

Zai-lin²,

Xiao-fang³

et al. 2019

Teh. elektrodin.

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Access of photovoltaic system (PVS) to distribution network impacts voltage and power losses and also other related parameters. In order to make full use of the advantages of PVS and determine its optimal location and capacity, an optimal allocation's method for grid-connected PVS is proposed in this paper. This method takes the active power losses minimization as the optimization goal, divides the distribution feeder system into several paths to determine the path priority to install PVS according to active power load moment (APLM). The allowable maximum and minimum active power of grid-connected PVS for each bus are calculated via voltage sensitivity. The improved artificial bee colony (IABC) algorithm that selects initial solution by using path priority and active power restrictions of grid-connected PVS is applied to achieve the optimal allocation of PVSs. This method was examined with IEEE 33-bus feeder system, and the optimal locations and capacities for different numbers of grid-connected PVSs are determined. The results obtained by the proposed IABC algorithm were compared with the results obtained by the artificial bee colony (ABC) algorithm and particle swarm optimization and those attained via other methods. The results show that the proposed method is feasible and 1 / 3 2019 N 5 s11 effective. References 11, figures 7. tables 4.

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Sensitivity-based dispatch of DG for voltage control

Cited by 3 publications

References 5 publications

A Method for Distributed Generator Dispatch Strategy in Distribution Network

A Method for Distributed Generator Dispatch Strategy in Distribution Network

Analysis of Voltage and Reactive Power Algorithms in Low Voltage Networks

An Optimization Approach Based on Improved Artificial Bee Colony Algorithm for Location and Capacity of Grid-Connected Photovoltaic Systems

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