Distribution Network Restoration Using Sequential Monte Carlo Approach

Šljivac, Damir; Nikolovski, Srete; Kovač, Zoran

doi:10.1109/pmaps.2006.360267

Cited by 2 publications

(4 citation statements)

References 11 publications

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“…Considering the advanced control period and based on the Distflow method, the network power flow constraints of the radial distribution power network are formulated in (2)- (9).…”

Section: ) Network Power Flow Constraintsmentioning

confidence: 99%

“…should be set to fixed values. Note that the constraints in (2)- (9) are for a balanced EDS and can also be extended for a three-phase unbalanced EDS [19].…”

Section: ) Network Power Flow Constraintsmentioning

confidence: 99%

“…To summarize, the multi-time interval optimization model of the restoration scheduling problem of CCP is formulated with the objective function in (1) and constraints in (2) - (9) and (13) -(52). As all the constraints are linear constraints with binary variables, the integrated multi-time interval optimization model is an MILP model and can be solved by commercial solvers effectively.…”

Section: ) Other Essential Constraintsmentioning

confidence: 99%

“…However, the restoration results are highly dependent on the design of the fuzzy sets, which is based on subjective experience rather than objective estimation. Using a stochastic method to model the uncertainty in an EDS restoration process [9] cannot deal with supplemental resources and the changing topology of EDS. The solution of a stochastic model resorts to a Monte Carlo simulation, which makes this method difficult to be used online.…”

Section: Introductionmentioning

confidence: 99%

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Multi-agent-based Rolling Optimization Method for Restoration Scheduling of Distribution Systems with Distributed Generation

Feng

Zhou

et al. 2020

Journal of Modern Power Systems and Clean Energy

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Resilience against major disasters is the most essential characteristic of future electrical distribution systems (EDSs). A multi-agent-based rolling optimization method for EDS restoration scheduling is proposed in this paper. When a blackout occurs, considering the risk of losing the centralized authority due to the failure of the common core communication network, the available agents after disasters or cyber-attacks identify the communication-connected parts (CCPs) in the EDS with distributed communication. A multi-time interval optimization model is formulated and solved by the agents for the restoration scheduling of a CCP. A rolling optimization process for the entire EDS restoration is proposed. During the scheduling/ rescheduling in the rolling process, CCPs in EDS are re-identified and the restoration schedules for CCPs are updated. Through decentralized decision-making and rolling optimization, EDS restoration scheduling can automatically start and periodically update itself, providing an effective solution for EDS restoration scheduling in a blackout event. A modified IEEE 123-bus EDS is utilized to demonstrate the effectiveness of the proposed method.

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“…Considering the advanced control period and based on the Distflow method, the network power flow constraints of the radial distribution power network are formulated in (2)- (9).…”

Section: ) Network Power Flow Constraintsmentioning

confidence: 99%

“…should be set to fixed values. Note that the constraints in (2)- (9) are for a balanced EDS and can also be extended for a three-phase unbalanced EDS [19].…”

Section: ) Network Power Flow Constraintsmentioning

confidence: 99%

Section: ) Other Essential Constraintsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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