The concept of distribution flexible network PV system

Dakkak, Mustapha; Hatori, Kenji; Ise, Toshifumi

doi:10.1016/j.renene.2005.09.022

Cited by 10 publications

(7 citation statements)

References 2 publications

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“…The DC load is connected to bus no 3 via a DC‐DC buck converter. The ESS is placed in bus no 0 via a bidirectional DC‐DC converter because that is the optimal place in case of loss reduction and network utilization . The distance between buses is 300 m.…”

Section: Network Configuration and Power Managementmentioning

confidence: 99%

“…In recent years, the PV‐battery combination has been used most in multisource stand‐alone networks . Photovoltaic units operate in stand‐alone or grid‐connected modes . A combination of PV units, AC and DC loads, and an energy storage system (ESS) forms a stand‐alone network that could be used in domestic, electrical vehicle, and space applications .…”

Section: Introductionmentioning

confidence: 99%

“…6 Photovoltaic units operate in stand-alone or grid-connected modes. 7 A combination of PV units, AC and DC loads, and an energy storage system (ESS) forms a stand-alone network that could be used in domestic, electrical vehicle, and space applications. [8][9][10] Grid-connected networks operate in higher voltage rates and do not require an ESS.…”

Section: Introductionmentioning

confidence: 99%

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Investigation of model predictive control for converter-based stand-alone DC distribution networks fed by PV units

Pirooz

Noroozian

Rodríguez

2017

Int Trans Electr Energ Syst

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Summary This paper applies model predictive control to converters of a stand‐alone direct current (DC) distribution network. The proposed network is similar to a real stand‐alone network and includes essential components from generation to consumption. The network uses photovoltaic (PV) units as sources of electrical energy. Each PV unit is connected to the DC network via a DC‐DC boost converter. Both alternating current and DC load types are included and fed through 3‐phase inverters and a DC‐DC buck converter, respectively. As the network operates in stand‐alone mode, an energy storage system is considered. The energy storage system is consisted of a battery bank and a bidirectional DC‐DC converter to regulate and control both the network's voltage level and the operation of PV units. Model predictive control‐integrated diagrams have been designed separately for each converter. It is expected to have continuous power flow from PV units to loads during daytime and nighttime and a regulated voltage level for the network controlled by energy storage system. Simulations done by PSCAD/MATLAB interfacing are used to demonstrate how power flows through the network and is consumed by loads or stored in batteries. The feasibility of model predictive control to control converters for this application is concluded through comparison of results with classic controllers' performance under equal conditions.

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Section: Network Configuration and Power Managementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Investigation of model predictive control for converter-based stand-alone DC distribution networks fed by PV units

Pirooz

Noroozian

Rodríguez

2017

Int Trans Electr Energ Syst

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“…In this study, we propose a new control method for a networked PV generation system that combines multiple subsystems composed of residential solar panels and loads with a centralized secondary battery bank [3][4][5]. These systems have the advantage that solar panels can be placed near loads for efficient use, and the use of a centralized secondary battery bank results in smaller required capacity and lower maintenance cost.…”

Section: Introductionmentioning

confidence: 99%

“…4; and autonomous control of distributed flexible network PV systems based on self-end data (voltage, current) was proposed in Ref. 5. Control using only self-end data does not require communications and provides fast response.…”

Section: Introductionmentioning

confidence: 99%

Intelligent control for a distributed flexible network photovoltaic system using autonomous control and agent

Park¹,

Miura²,

Ise³

2012

Elect Comm in Japan

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This paper proposes intelligent control for a distributed flexible network photovoltaic system using autonomous control and agents. The distributed flexible network photovoltaic system is composed of a secondary battery bank and a number of subsystems which have a solar array, a DC/DC converter, and a load. The control mode of the DC/DC converter can be selected based on local information by autonomous control. However, if only autonomous control using local information is applied, there are some problems associated with several cases, such as voltage drops on long power lines. To overcome these problems, the authors propose introducing agents to improve the control characteristics. The autonomous control with agents is called intelligent control in this paper. The intelligent control scheme that employs communication between agents is applied to the model system and validated by simulation using PSCAD/EMTDC.

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Photovoltaics literature survey (No. 49)

Shalav

2006

Prog. Photovolt: Res. Appl.

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The concept of distribution flexible network PV system

Cited by 10 publications

References 2 publications

Investigation of model predictive control for converter-based stand-alone DC distribution networks fed by PV units

Investigation of model predictive control for converter-based stand-alone DC distribution networks fed by PV units

Intelligent control for a distributed flexible network photovoltaic system using autonomous control and agent

Photovoltaics literature survey (No. 49)

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