Robust Optimization-Based Scheduling of Multi-Microgrids Considering Uncertainties

Hussain, Akhtar; Bui, Van-Hai; Kim, Hak-Man

doi:10.3390/en9040278

Cited by 86 publications

(63 citation statements)

References 38 publications

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“…If the gth CDG is started up at time t, start-up indicator will take the value of 1 and zero otherwise. Similarly, the shutdown indicator will take a value of 1, if the gth CDG is shut-down at time t and zero otherwise [24]. The ramp-up constraints for gth CDG unit are given by Equation (11) and ramp-down constraints are given by Equation (12):…”

Section: Constraints For Controllable Generatorsmentioning

confidence: 99%

Fuzzy Logic-Based Operation of Battery Energy Storage Systems (BESSs) for Enhancing the Resiliency of Hybrid Microgrids

2017

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Abstract:The resiliency of power systems can be enhanced during emergency situations by using microgrids, due to their capability to supply local loads. However, precise prediction of disturbance events is very difficult rather the occurrence probability can be expressed as, high, medium, or low, etc. Therefore, a fuzzy logic-based battery energy storage system (BESS) operation controller is proposed in this study. In addition to BESS state-of-charge and market price signals, event occurrence probability is taken as crisp input for the BESS operation controller. After assessing the membership levels of all the three inputs, BESS operation controller decides the operation mode (subservient or resilient) of BESS units. In subservient mode, BESS is fully controlled by an energy management system (EMS) while in the case of resilient mode, the EMS follows the commands of the BESS operation controller for scheduling BESS units. Therefore, the proposed hybrid microgrid model can operate in normal, resilient, and emergency modes with the respective objective functions and scheduling horizons. Due to the consideration of resilient mode, load curtailment can be reduced during emergency operation periods. Numerical simulations have demonstrated the effectiveness of the proposed strategy for enhancing the resiliency of hybrid microgrids.

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Section: Constraints For Controllable Generatorsmentioning

confidence: 99%

Fuzzy Logic-Based Operation of Battery Energy Storage Systems (BESSs) for Enhancing the Resiliency of Hybrid Microgrids

2017

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“…(This Paper) Naive auction-inspired algorithm [17] Stochastic modeling, stochastic dynamic programming [18] Pattern search algorithm [19] Hybrid stochastic, robust optimization [20] Auction theory, weighted majority algorithmm [21] Sequentially coordinated operation [22] Robust optimization…”

Section: References Algorithm For Solving Energy Transactionmentioning

confidence: 99%

Optimal Energy Scheduling and Transaction Mechanism for Multiple Microgrids

2017

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Abstract:In this paper, we propose a framework for optimal energy scheduling combined with a transaction mechanism to enable multiple microgrids to exchange their energy surplus/deficit with others while the distributed networks of microgrids remain secure. Our framework is based on two layers: a distributed network layer and a market layer. In the distributed network layer, we first solve optimal power flow (OPF) using a predictor corrector proximal multiplier algorithm to optimally dispatch diesel generation considering renewable energy and power loss within a microgrid. Then, in the market layer, the agent of microgrid behaves either as a load agent or generator agent so that the auctioneer sets a reasonable transaction price for both agents by using the naive auction-inspired algorithm. Finally, energy surplus/deficit is traded among microgrids at a determined transaction price while the main grid balances the transaction. We implement the proposed mechanism in MATLAB (Matlab Release 15, The MathWorks Inc., Natick, MA, USA) using an optimization solver, CVX. In the case studies, we compare four scenarios depending on whether OPF and/or energy transaction is performed or not. Our results show that the joint consideration of OPF and energy transaction achieves as minimal a cost as the ideal case where all microgrids are combined into a single microgrid (or called grand-microgrid) and OPF is performed. We confirm that, even though microgrids are operated by private owners who are not collaborated, a transaction-based mechanism can mimic the optimal operation of a grand-microgrid in a scalable way.

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“…Moreover, due to the influence of uncertain factors such as intermittent fluctuations in renewable energy sources (RESs) and faults [17,18], these equipment may connect/disconnect to/from the MG system. In these cases, EMSs could not automatically update the device characteristics, or adjust operation algorithms to adapt to new operation mode [16,19].…”

Section: Introductionmentioning

confidence: 99%

Optimal Operation of Microgrids Considering Auto-Configuration Function Using Multiagent System

2017

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Monitoring the status of existing devices and identification of newly added devices is required in microgrids to adjust the operation schedule followed by any event or integration of a new device. Therefore, in this paper, automatic reconfiguration of microgrids is considered after the addition of a new device or change in the operation status of an existing device by using a multiagent system. This capability of the microgrid is named as auto-configuration function, which is performed by the auto-configurator agent. In case of addition of a new device, the auto-configurator agent is responsible for authorization and registration of the newly added device. In case of change in status of any existing device, the status information is updated. After integration of a new device or change in status of an existing device, re-optimization is carried out by the energy management system (EMS) agent. Agent communication language (ACL) is used to develop a modified contract net protocol (MCNP) for communication among different agents. EMS agent and auto-configurator agent exchange information for economic rescheduling of the microgrid components. Simulation results have shown that the proposed method can be used for optimal operation of microgrids when the configuration changes due to the addition/removal of a device.

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Robust Optimization-Based Scheduling of Multi-Microgrids Considering Uncertainties

Cited by 86 publications

References 38 publications

Fuzzy Logic-Based Operation of Battery Energy Storage Systems (BESSs) for Enhancing the Resiliency of Hybrid Microgrids

Fuzzy Logic-Based Operation of Battery Energy Storage Systems (BESSs) for Enhancing the Resiliency of Hybrid Microgrids

Optimal Energy Scheduling and Transaction Mechanism for Multiple Microgrids

Optimal Operation of Microgrids Considering Auto-Configuration Function Using Multiagent System

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