Distributed Secondary Control for Islanded Microgrids With Mobile Emergency Resources

Zhou, Quan; Shahidehpour, Mohammad; Yan, Mingyu; Xi, Wu; Alabdulwahab, Ahmed; Abusorrah, Abdullah

doi:10.1109/tpwrs.2019.2942269

Cited by 45 publications

(19 citation statements)

References 32 publications

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“…The scalability of RMPS and MG scheduled islanding has been demonstrated in [16]- [32], for a wide range of power systems aspects, including reliability and resilience improvement [20], [23]- [26], [28]- [30], as well as operational performance enhancement [16]- [19], [21]- [22], [32].…”

Section: Proposed Rmps Allocation Methods For Mgs Support During mentioning

confidence: 99%

“…The complete proposed EMS based on DP is the following depicted in (20)- (22). Its solution is obtained recursively applying the BI solution method starting at the highest load priority group towards the lowest priority groups of loads, i.e.…”

Section: A Dynamic Programming Ems For Mgs Under Scheduled Islanded mentioning

confidence: 99%

“…In [20] portable renewable energy resource (PRER) is considered as demand response in multi-objective and stochastic programming for EM in MGs. Energy reserves for critical loads supplying and secondary frequency regulation of isolated MG are respectively tackled in [21]- [22], using a multi-generation portfolio including mobile hybrid energy generating station (HEGS) and truck-mounted mobile emergency resources (MERs). The use of a mobile battery energy storage system (MBESS), based on experimental operation data and multi-state reliability model for distributed RES generation and demand, increases the system reliability during a failure in islanded MGs [23].…”

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confidence: 99%

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Intelligent RMPS Allocation for Microgrids Support During Scheduled Islanded Operation

et al. 2020

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New opportunities enabled by renewable mobile power stations (RMPSs), in association with microgrids (MGs) ability to operate islanded to the main grid, present a likely solution to ensure power system novel reliability requirements in face of the increasing number of severe disruptive events. In this perspective, this paper proposes a novel intelligent RMPS allocation method to support MGs during scheduled islanded operation. In this mode, the isolated operation of a MG is beforehand planned to mitigate the effects caused by possible predictable contingencies, e.g. weather-related events, as well as programmed maintenance. For this, first a novel energy management strategy (EMS) based on dynamic programming specifically designed for MG scheduled islanded operation is proposed. Next, a particle swarm optimization (PSO) method modified to ensure a continuous search space in the face of discrete load shedding policies is developed to determine the adequate allocation of RMPS. The proposed method is simulated considering different scenarios for a MG system considering local distributed generation capacity, electric vehicles penetration, load shedding based on priority groups, as well as technical and operational limits. The obtained results showcase the proposed approach ability to meaningfully improve MG service capacity during scheduled islanded operation.

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Section: Proposed Rmps Allocation Methods For Mgs Support During mentioning

confidence: 99%

Section: A Dynamic Programming Ems For Mgs Under Scheduled Islanded mentioning

confidence: 99%

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confidence: 99%

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Intelligent RMPS Allocation for Microgrids Support During Scheduled Islanded Operation

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“…However, droop control may lead to undesired deviations of the frequency and voltage. Accordingly, the secondary control is commonly utilised to eliminate the frequency and voltage deviations caused by droop control [30]. The common secondary control is realised by a PI controller, which is described as follows:

normalΔ x_{i} = k_{normalP, i} false(x^{ref} - x false) + k_{normalI, i} \int (x^{ref} - x) d t,

where x stands for the frequency or voltage.…”

Section: Preliminariesmentioning

confidence: 99%

Droop‐based consensus control scheme for economic dispatch in islanded microgrids

Zheng

Liao

Yang

et al. 2020

IET Generation, Transmission & Distribution

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“…In terms of the power system, the spatiotemporal flexibility of EV charging has been considered in recent years. Arranged EV demand makes it possible to provide ancillary services with higher quality [3], regulation of voltage [4], load balancing [5] for system integrated with renewable energy resources, and maintain the peak power [6]. According to the historical vehicle data [7], most studies model the probability distribution of daily trip distance, arrive time, and initial SOC of EVs [8].…”

Section: Introductionmentioning

confidence: 99%

Reliability Assessment of Coordinated Urban Transportation and Power Distribution Systems Considering the Impact of Charging Lots

et al. 2020

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Owing to spatiotemporal flexibility of electrical vehicles (EVs), EVs will introduce new synergies between the urban traffic system (UTS) and power distribution system (PDS). As a mobile charging load, arranged EV charging can not only provide more flexibility for power system optimization, but also influence the traveling time and other mobility-related characteristics of EVs. However, there are few studies that consider the impact of the coupling facility (such as parking lot with charging facilities) on UTS reliability, as well as the reliability of UTS and PDS (referred to as PTS). Therefore, it is necessary to extend the original research scope to incorporate the traffic system simulation into the collaborative analysis of the coordinated PTS. This paper first develops a new simulation framework for the coordinated UTS and PDS coupled with commercial charging lots (CLs). Then, a new method is illustrated for measuring the reliability of a coordinated UTS and PDS. At last, a novel unified PTS reliability index considering both UTS and PDS reliability indices are presented. INDEX TERMS Electric vehicles (EVs), power distribution system (PDS), urban traffic system (UTS), commercial charging lots (CLs), reliability assessment, simulation of urban mobility (SUMO).

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Distributed Secondary Control for Islanded Microgrids With Mobile Emergency Resources

Cited by 45 publications

References 32 publications

Intelligent RMPS Allocation for Microgrids Support During Scheduled Islanded Operation

Intelligent RMPS Allocation for Microgrids Support During Scheduled Islanded Operation

Droop‐based consensus control scheme for economic dispatch in islanded microgrids

Reliability Assessment of Coordinated Urban Transportation and Power Distribution Systems Considering the Impact of Charging Lots

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