Distributed Energy Resources Impact on Distribution System Reliability Under Load Transfer Restrictions

Silva, Armando M. Leite da; Nascimento, Luiz Carlos do; Rosa, Mauro; Issicaba, Diego; Lopes, João

doi:10.1109/tsg.2012.2190997

Cited by 52 publications

(19 citation statements)

References 22 publications

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“…Hourly operation of the battery is constrained by the reservoir model (3), the storage capacity (4) and the power limits (5), as well as inequalities precluding simultaneous charging and discharging (6)- (7). PV generation is limited by the installed capacity and the solar irradiation (8). Equation (9) imposes the energy balance of the system.…”

Section: Adoption Modelmentioning

confidence: 99%

“…While not the primary reason for the deployment of DERs, distribution grid security and reliability is also impacted by the presence of DERs, see e.g. [7] and [8]. Recent studies have explored the use of utility owned DERs to manage outages and improve the reliability of distribution systems, especially when these DERs comprise dispatchable technologies, such as battery storage [9], electric vehicles (EV) [10,11] and demand response (DR) [12,13], or when located in active portions of the distribution system, e.g.…”

Section: Introductionmentioning

confidence: 99%

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The effect of rate design on power distribution reliability considering adoption of distributed energy resources

2020

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Electricity rates are a main driver for adoption of Distributed Energy Resources (DERs) by private consumers. In turn, DERs are a major component of the reliability of energy access in the long run. Defining reliability indices in a paradigm where energy is generated both behind and in front of the meter is part of an ongoing discussion about the future role of utilities and system operators with many regulatory implications. This paper contributes to that discussion by analyzing the effect of rate design on the long term reliability indices of power distribution. A methodology to quantify this effect is proposed and a case study involving photovoltaic (PV) and storage technology adoption in California is presented. Several numerical simulations illustrate how electricity rates affect the grid reliability by altering dispatch and adoption of the DERs. We further document that the impact of rate design on reliability can be very different from the perspective of the utility versus that of the consumers. Our model affirms the positive connection between investments in DERs and the grid reliability and provides an additional tool to policy-makers for improving the reliability of the grid in the long term.

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Section: Adoption Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The effect of rate design on power distribution reliability considering adoption of distributed energy resources

2020

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“…The reliability of future networked distribution systems incorporating DGs and load transfer capability has been the topic of a limited amount of research. The work of da Silva et al [21] is the most notable among studies in which this issue was explored. These authors conducted an impact analysis of distributed energy resource integration on distribution systems with an emphasis on determining the capacity that may be transferred to other feeders.…”

Section: Introductionmentioning

confidence: 99%

Markovian model for reliability assessment of microgrids considering load transfer restriction

Al-Muhaini¹,

Al-Sakkaf²

2017

Turk J Elec Eng & Comp Sci

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Reliability is an indispensable factor in power system design and operation and has a significant impact on grid safety and economy. Future power distribution systems are expected to be more sophisticated, owing to the increasing penetration of renewable resources and adoption of advanced information and communication technologies. Extant studies in this field tend to focus on the modeling and assessment of the reliability of future microgrid distribution systems, including distributed generation, without considering networked configuration and limited transfer capacity. In the work presented in this paper, a Markov model is implemented to perform a practical and accurate reliability evaluation of networked electric microgrids under load transfer restriction conditions. The Markov model is used to model the microgrid based on the connectivity between the source and the loads and to compute load and system reliability indices. Moreover, the distribution load flow (DLF) method is adopted when reclassifying the Markov model states based on the system's transfer capability during interruptions. The obtained results confirm that the proposed model is efficient and that the DLF provides a more accurate reliability analysis due to the computing of the voltage profile during the system outage restoration process. This model can also be used to optimally integrate distributed generators into the power system at proper locations and with proper capacities to enhance the system's reliability.

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“…The analytical methods are fail to consider the uncertainty involved in the assessment due to uncertainty of system failures and repair times. Monte Carlo simulation (MCS) methods are used for reliability evaluation [3], [4] to overcome the disadvantage of analytical method. The MCS methods has the ability to include the uncertainty associated with the distributed generators (DGs) output power.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Distribution System Reserve Capacity and Its Impact on System Reliability considering load growth

Reddy¹,

Goswami²,

Choudhury³

2017

ijeei

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Abstract:The major objective of any electric distribution system (DS) operators in the present competitive market is to increase the service quality with improved reliability and lesser energy cost. This objective can be achieved by maintaining the balance between the reliability and cost of investments. In this work, system reliability is improved by using reserve capacity considering load growth. A sequential load growth model is presented for addition of load in non-integer years which is essential for sequential Monte Carlo simulation method. A model is presented to estimate the required reserve capacity if planning duration is known and vice versa. The concept of minimum allowable reserve capacity (MARC) is introduced to overcome the risk due to uncertain load growth. The system reserve capacity is increased by two ways i.e. up-gradation of distribution substation and integration of distributed generation (DG). The impact of load growth rate and reserve capacity level on system reliability is evaluated for a practical Indian distribution system. The required reserve capacity levels and capacity expansion duration are evaluated for different load growth rates and MARC values.Keyword: Sequential load growth, reserve capacity, capacity expansion, reliability, distributed generation. IntroductionIn the present competitive deregulated environment, the distribution system (DS) operators are under high pressure to improve the system reliability, reduce the energy cost and increase the profit simultaneously. The deregulation of energy market brings in the concept of performance based rates (PBR), which is a contract of reward/penalty for system operators based on the system performance i.e. reliability. However, the PBR introduces the financial risk to the system operators [1] i.e. imposing penalty for not maintaining predefined reliability levels. To reduce the financial risk associated with the use of PBR, proper estimation of future system reliability, planning of system capacity expansion and maintaining appropriate reserve capacity are necessary.In the literature, different reliability evaluation methods are developed for distribution system reliability evaluation. In reference [2], reliability of a test system is evaluated using analytical approach and the results considered as benchmark. The analytical methods are fail to consider the uncertainty involved in the assessment due to uncertainty of system failures and repair times. Monte Carlo simulation (MCS) methods are used for reliability evaluation [3], [4] to overcome the disadvantage of analytical method. The MCS methods has the ability to include the uncertainty associated with the distributed generators (DGs) output power. System reliability is evaluated in [5], [6] with the integration of DGs. The computational efficiency of MCS method is less and takes more time for evaluation. Authors in [7], [8] are used variance reduction techniques in association with MCS method to improve the computational efficiency of MCS method.The loading of the system is not...

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Distributed Energy Resources Impact on Distribution System Reliability Under Load Transfer Restrictions

Cited by 52 publications

References 22 publications

The effect of rate design on power distribution reliability considering adoption of distributed energy resources

The effect of rate design on power distribution reliability considering adoption of distributed energy resources

Markovian model for reliability assessment of microgrids considering load transfer restriction

Estimation of Distribution System Reserve Capacity and Its Impact on System Reliability considering load growth

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