A Multi-Timescale Two-Stage Robust Grid-Friendly Dispatch Model for Microgrid Operation

Han, Jiayu; Yan, Lei; Li, Zuyi

doi:10.1109/access.2020.2973622

Cited by 24 publications

(10 citation statements)

References 36 publications

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“…In the centralized control scheme, the microgrid master controller (MMC) optimizes the operation of the DERs and the network topology to achieve the safe and economic operation of the MG. Such a scheme relies on using optimization and forecasting methods and all system components communicate with MMC [5][6][7][8][9][10]. Reference [5] reviews the works of stochastic optimization in terms of the modelling and computational aspects.…”

Section: Review Of Microgrids and Networked Microgridsmentioning

confidence: 99%

Sequence of operations for real‐time control of microgrids and networked microgrids

Sheikholeslami

Yan

Shahidehpour

et al. 2022

IET Renewable Power Gen

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Microgrids (MGs) provide a potential solution to accommodating renewable and distributed energy resources (DERs). MGs and the networked form of MGs, that is, networked MGs or NMGs, have received significant attention in the past two decades. However, several details that need to be considered for the practical operations of MGs and NMGs are often neglected in the literature. First, there is a need for a step‐by‐step sequence of operations (SOO) that clearly defines the procedures for changing the operation modes of MGs and NMGs for their reliable and resilient operation. Second, there is a need to develop a new control strategy for power exchange between networked MGs to ensure the information privacy and respect the electrical boundary of each MG. Third, there is a need for developing the model of MGs and NMGs in a real‐time simulator to safely evaluate the performance of the microgrid master controller (MMC) in making real‐time decisions and following the SOO. This paper proposes solutions for these three requirements and presents results to evaluate the performance of the proposed solutions. The IIT Campus Microgrid (ICM) and Bronzeville Community Microgrid (BCM), as well as their networked form, are selected as the practical testbeds and are modelled in real‐time digital simulator (RTDS). The RTDS model is interfaced with the MMC for real‐time data exchange and the operation of the MMC is tested to illustrate the importance of SOO in the real‐time control of MGs and NMGs.

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Section: Review Of Microgrids and Networked Microgridsmentioning

confidence: 99%

Sequence of operations for real‐time control of microgrids and networked microgrids

Sheikholeslami

Yan

Shahidehpour

et al. 2022

IET Renewable Power Gen

Self Cite

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“…The injecting and drawing heat from HT are described in (10) to (11). And (12) gives their upper and lower limits, respectively. The limitations of heat and cooling power are given in (13).…”

Section: Htmentioning

confidence: 99%

“…In the literature, [10][11][12][13][14] electricity was considered as the only energy carrier. However, multienergy complementarity, which integrates multiple energy sectors, is promising to improve the whole system's flexibility and economy.…”

Section: Introductionmentioning

confidence: 99%

“…However, considering the fact that the forecast accuracy of RESs increases from long‐term timescale to short‐term timescale, it is necessary to develop a multi‐timescale schedule for the system to deal with the variability of RESs. The authors of Reference 12 utilized a two‐stage, multi‐timescale robust model to solve the unit‐commitment and economic dispatch problem of islanded MG. To increase the management efficiency of virtual power plant, a multi‐timescale economic schedule method under the wholesale energy and reserve market was established 13 . And day‐ahead bidding and real‐time operation were considered in the schedule.…”

Section: Introductionmentioning

confidence: 99%

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A multi‐timescale schedule strategy for multi‐microgrids: A distributed approach

Zhang

2021

Int Trans Electr Energ Syst

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Multi-microgrids (MMGs) interconnect microgirds (MGs) with geographical adjacency and improve the overall efficiency, stability, and reliability of a regional energy system. The uncertainty brought by renewable energy resources (RESs) is one of the challenges facing the schedule of MMGs. To cope with it, a multi-timescale schedule strategy is proposed. Specifically, in day-ahead schedule, the on/off states of the units are determined. Then, based on the day-ahead plan and the more accurate estimation of RESs, the refined schedule is achieved in the intraday. And to enhance the flexibility of the MMGs system, multienergy complementarity is considered in this work. Moreover, how to achieve the coordinated schedule between MGs owned by different parties is another problem facing the MMGs system operation. To solve this, a distributed algorithm, namely predictor corrector proximal multiplier, is introduced. During the solution process, each MG only needs to reveal the exchange power to the virtual controller, which protects the privacy and reduces communication burden. Numerical simulation of an MMGs system

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“…The PV system can be connected directly as a stand-alone system to the load or indirectly as a grid-connected PV system via the electric grid. The gridconnected system is preferable in the presence of multiple sources of electric energy [1,2]. Since the PV system's output power depends primarily on environmental conditions, in particular irradiation and temperature, the PV system requires a maximum power point tracking (MPPT) controller to maintain the service at the global maxima [3,4], such that the maximum output power can always be delivered by the PV system.…”

Section: Introductionmentioning

confidence: 99%

PV Systems Control Using Fuzzy Logic Controller Employing Dynamic Safety Margin under Normal and Partial Shading Conditions

et al. 2021

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Because of the unpredictable activity of solar energy sources, photovoltaic (PV) maximum power point tracking (MPPT) is essential to guarantee the continuous operation of electrical energy generation at optimal power levels. Several works have extensively examined the generation of the maximum power from the PV systems under normal and shading conditions. The fuzzy logic control (FLC) method is one of the effective MPPT techniques, but it needs to be adapted to work in partial shading conditions. The current paper presents the FLC-based on dynamic safety margin (DSM) as an MPPT technique for a PV system to overcome the limitations of FLC in shading conditions. The DSM is a performance index that measures the system state deviation from the normal situation. As a performance index, DSM is used to adapt the FLC controller output to rapidly reach the global maxima of the PV system. The ability of the proposed algorithm and its performance are evaluated using simulation and practical implementation results for single phase grid-connected PV system under normal and partial shading operating conditions.

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A Multi-Timescale Two-Stage Robust Grid-Friendly Dispatch Model for Microgrid Operation

Cited by 24 publications

References 36 publications

Sequence of operations for real‐time control of microgrids and networked microgrids

Sequence of operations for real‐time control of microgrids and networked microgrids

A multi‐timescale schedule strategy for multi‐microgrids: A distributed approach

PV Systems Control Using Fuzzy Logic Controller Employing Dynamic Safety Margin under Normal and Partial Shading Conditions

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