Decentralised control of voltage in distribution systems by distributed generators

Tanaka, Kenichi; Oshiro, Masato; Toma, Shohei; Yona, Atsushi; Senjyu, Tomonobu; Funabashi, Toshihisa; Kim, Chul‐Hwan

doi:10.1049/iet-gtd.2010.0003

Cited by 111 publications

(31 citation statements)

References 4 publications

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“…Thus, in order to resolve power imbalance with RESs, the BESS has been installed and operated based on optimal scheduling in several areas. Scheduling of the distribution system has been proposed in much of the literature [21][22][23][24]. In addition, power quality such as the power factor has been improved by the reactive power control method using an interfaced inverter of BESS.…”

Section: Introductionmentioning

confidence: 99%

Optimal Operation Method for Distribution Systems Considering Distributed Generators Imparted with Reactive Power Incentive

et al. 2018

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Featured Application: The incentive method with flexible contribution functions can be applied to demand response by the reactive power market and distribution company, which has the possibility to reduce the additional installation of distribution control equipment and battery capacity. It also leads to the reduction of total electricity purchase cost of consumers, and the power system can achieve high mixing of renewable energy in the grid with the reactive power incentive demand response and the IoT development. Furthermore, reliability assessment of cooperative control with the participation rate will give an important contribution to the robust design of the system. Abstract: In order to solve urgent energy and environmental problems, it is essential to carry out high installation of distributed generation using renewable energy sources (RESs) and environmentally-friendly storage technologies. However, a high penetration of RESs usually leads to a conventional power system unreliability, instability and low power quality. Therefore, this paper proposes a reactive power control method based on the demand response (DR) program to achieve a safe, reliable and stable power system. This program does not enforce a change in the active power usage of the customer, but provides a reactive power incentive to customers who participate in the cooperative control of the distribution company (DisCo). Customers can achieve a reduction in their total energy purchase by gaining a reactive power incentive, whilst the DisCo can achieve a reduction of its total procurement of equipment and distribution losses. An optimal control schedule is calculated using the particle swarm optimization (PSO) method, and also in order to avoid over-control, a modified scheduling method that is a dual scheduling method has been adopted in this paper. The effectiveness of the proposed method was verified by numerical simulation. Then, simulation results have been analyzed by case studies.

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Section: Introductionmentioning

confidence: 99%

Optimal Operation Method for Distribution Systems Considering Distributed Generators Imparted with Reactive Power Incentive

et al. 2018

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“…However its large integration into the medium-voltage and low-voltage distribution systems poses problems of voltage regulation [1], [2]. In fact, on one side, the voltage regulation on a distribution feeder is mainly provided by OLTC with LDC substation transformer or by the feeder voltage regulator placed at the substation to keep the voltage on the feeder within the normal limits [3], [4].…”

Section: Introductionmentioning

confidence: 99%

Optimal reactive power control of distribution feeders with distributed energy resources: Interaction analysis and validation

Fazio

Fusco

2014

2014 IEEE Conference on Control Applications (CCA)

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“…When a centralized control structure is used, the reactive powers injected by DG are usually defined by a supervisor unit at the HV/MV substation or at the system control level [6], and large investments for measurements and communication infrastructures are required. On the contrary, when a decentralized control structure is used, the reactive powers are locally determined and communication is required only for coordination purposes [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Testing New Reactive Power Control of DERs by Real-Time Simulation

Fazio

Fusco

Russo

2014

International Journal of Emerging Electric Power Systems

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In the smart grid paradigm, the reactive power control of distributed energy resources (DERs) plays a key role improving the voltage profile in the distribution systems. This topic has been addressed by previous papers in which the Optimal Set-Point Design (OSPD) of DER reactive control, based on a decentralized approach, has been developed. The OSPD determines the set point of a reactive power closed-loop regulation scheme according to an optimization strategy. After briefly recalling the OSPD procedure, the article presents validation studies aiming at testing the effectiveness of the OSPD. The validation is based on a hardware-in-the-loop realtime simulation facility. In particular, an experimental setup has been arranged and presented, in which the system is simulated using the real-time digital simulator (RTDS), while the OSPD has been implemented on a PC in the LabView environment. The OSPD has been developed by considering two different optimization objectives, namely the feeder voltage profile optimization and the distribution losses minimization. The achieved results are then presented and also compared with the ones obtained a classical regulation scheme.

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Decentralised control of voltage in distribution systems by distributed generators

Cited by 111 publications

References 4 publications

Optimal Operation Method for Distribution Systems Considering Distributed Generators Imparted with Reactive Power Incentive

Optimal Operation Method for Distribution Systems Considering Distributed Generators Imparted with Reactive Power Incentive

Optimal reactive power control of distribution feeders with distributed energy resources: Interaction analysis and validation

Testing New Reactive Power Control of DERs by Real-Time Simulation

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