A probabilistic reliability evaluation of a power system including Solar/Photovoltaic cell generator

Park, Jeongje; Wu, Liang; Choi, Jaeseok; El-Keib, A.A.; Shahidehpour, Mohammad; Billinton, R.

doi:10.1109/pes.2009.5275722

Cited by 92 publications

(45 citation statements)

References 5 publications

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“…Therefore, the multi-state model of operation of SDG forms a chain style as shown in Fig. 2.The multi state Solar radiation (SR) model of Jeju Island for the year 2007 is taken from [22]. The multi-state SR model, shown graphically in Fig.…”

Section: Solar Radiation Modelmentioning

confidence: 99%

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Optimal Sizing and Placement of Solar Cell Distributed Generator Suitable for Integrated Power System Environment

2018

Teh. vjesn.

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A novel fuzzified Clustered Gravitational Search Algorithm (CGSA) has been employed for solving multi-objective problem formulated for solar based distributed generation. Optimal sizing and placement of solar distributed generation is considered. High solar penetration can lead to high-risk level in power system reliability. In order to maintain the system reliability, solar power dispatch is usually restricted based on the reliability level of the system. Two conflicting objective functions such as power loss and reliability level of the system are also considered for solving optimal placement of solar distributed generation (SDG). Binary coded CGSA is employed for solving optimal placement of SDG and sizing is determined using real coded CGSA. The fuzzy membership function for each objective is designed and multi-objective optimal placement problem has been presented. The proposed method is validated on IEEE standard 69-bus radial distribution networks. The efficiency of the proposed optimization technique is validated by comparing the results with other results available in the existing articles.

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Section: Solar Radiation Modelmentioning

confidence: 99%

“…The multi-state SR model, shown graphically in Fig. 3, based on the observed solar radiation can be reduced to different multistate Solar Radiation Capacity Outage Probability Table (SRCOPT) using rounding method [22].…”

Section: Solar Radiation Modelmentioning

confidence: 99%

Optimal Sizing and Placement of Solar Cell Distributed Generator Suitable for Integrated Power System Environment

2018

Teh. vjesn.

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“…The output model of photovoltaic system under varying light intensity is described as equation (6) [12] and the relation between light intensity and output of PV power is shown in Figure 3. With the increasing of the light intensity, the output curve is divided into three sections.…”

Section: Output Model Of Pv Powermentioning

confidence: 99%

Risk-based Security Assessment in Distribution Network with the Integration of Photovoltaic

Sheng

Liu

Cai

et al. 2016

MATEC Web of Conferences

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Abstract. With the development of distribution network, distributed generation such as wind and photovoltaic (PV) power will become increasingly prominent in the near future. PV is widely constructed because of advantages it has. However, the volatility and randomness of PV makes it more complex than traditional energy in the security assessment of distribution network. Based on risk theory, considering the randomness of PV, node low voltage risk index and line overload risk index are established in this paper. Also, K (N -1 + 1) principle for distribution network which is developed from traditional (N-1) deterministic principle is applied to reflect the flexible structure of distribution network. IEEE three-feeder example system is utilized to investigate the influence of PV power on the security assessment of distribution network.

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“…With flexible operational mode and environment-friendly features, more and more distributed generations are integrated into the distribution network, which brings benefit on the carbon reduction of distribution system [20]. As two basic methods of loss of expected energy (LOEE) for the distribution system with DG, the studies of analytical method [21][22][23][24][25][26][27][28][29] and Monte Carlo method [30][31][32][33][34][35][36] have made some progress. These studies indicate that the adoption of DG is actually equals to increasing the number and capacity of the backup of distribution system, thus improving the carbon reduction of the distribution system.…”

Section: Introductionmentioning

confidence: 99%

Low-carbon benefit analysis on DG penetration distribution system

Liu

et al. 2015

J. Mod. Power Syst. Clean Energy

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In response to the severe energy and environmental issues, CO 2 emission reduction and low-carbon development are inevitable. China has become the biggest CO 2 emitter in the world since 2006. As a major CO 2 emission source in China, the power industry is facing greater pressure for carbon emission abatement. By applying various low-carbon power technologies and mechanisms, the potential for CO 2 emission reduction in power systems is considerable. This paper proposes a pseudo-sequential Monte Carlo simulation method for the low-carbon benefit evaluation of distribution system including distributed wind turbines, solar array and battery energy storage systems. The hourly sequential models and state variation models for wind turbines, solar array and battery are established. The non-power components are sequentially sampled and the components of the wind turbine, the solar array and the battery are non-sequentially sampled. The failure modes and effect analysis (FMEA) procedure for the system are discussed and the heuristic load shedding approach is used, then the low-carbon benefit evaluation procedure is illustrated. Based on this, the system state transition sampling method for calculating the loss of expected energy index with high DG penetration is proposed. The state transition models for non-active elements and DGs are established. The validity of the proposed method is demonstrated by a study case. The method can be used for the low-carbon benefit analysis on DG penetration distribution networks.

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A probabilistic reliability evaluation of a power system including Solar/Photovoltaic cell generator

Cited by 92 publications

References 5 publications

Optimal Sizing and Placement of Solar Cell Distributed Generator Suitable for Integrated Power System Environment

Optimal Sizing and Placement of Solar Cell Distributed Generator Suitable for Integrated Power System Environment

Risk-based Security Assessment in Distribution Network with the Integration of Photovoltaic

Low-carbon benefit analysis on DG penetration distribution system

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