Optimal Energy Management for Stable Operation of an Islanded Microgrid

Minchala, Luis I.; Garza-Castañón, Luis E.; Zhang, Youmin; Ferrer, Hector J. Altuve

doi:10.1109/tii.2016.2569525

Cited by 82 publications

(30 citation statements)

References 16 publications

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“…25,26 Also, the robust EMS was implemented in Jiang et al and Wang et al 27,28 based on the double layer coordination control method and bi-level algorithm in grid-connected and stand-alone modes, respectively. Minchala-Avila et al 29 provided a predictive control scheme to manage the energy of batteries and to perform a centralized load shedding strategy towards balancing the load and generation inside the MG.…”

Section: By 2030mentioning

confidence: 99%

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Mitigation of distribution system net‐load ramping using multi‐microgrid system

Aliakbari

Maghouli

2019

Int Trans Electr Energ Syst

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Summary The net‐load ramping occurs when the output power of renewable energy resources is decreased simultaneously with a rise in the load during early evening hours. Thus, in this paper, the unfavorable effects of ramping are mitigated via the multi‐microgrid system without additional investment. In the proposed model, microgrids under study include micro turbine, photovoltaic, wind turbine, phosphoric acid fuel cell, energy storage system, and demand response program. The mentioned microgrids attempt to exchange power with the upstream grid at appropriate intervals by incorporating hourly dynamic penalty costs to their operational costs so as to moderate the ramping of the distribution grid load profile. The minimization of the total cost of operation is formulated for the multi‐microgrid system. As a result, it is possible to eliminate the effects of ramping using proper management of the units and exchanged power in the proposed scheme. Also, the numerical results indicated the usefulness and applicability of the proposed model through its application on a typical distribution test system.

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Section: By 2030mentioning

confidence: 99%

“…Also, the decision variable for the initial state of ESS scheduling is chosen considering (12). Therefore, the solution array for nth neighbor has two sub-structures as shown in (27) and (28) and corresponding costs are given in (29).…”

Section: Sa Algorithmmentioning

confidence: 99%

Mitigation of distribution system net‐load ramping using multi‐microgrid system

Aliakbari

Maghouli

2019

Int Trans Electr Energ Syst

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“…The development of predictive strategies to control hybrid energy systems was addressed in several studies. [24][25][26][27][28][29][30][31][32][33] In Reference 24, the authors implemented an optimal control technique for an islanded microgrid based on non-linear MPC. The microgrid consisted of different renewable sources, battery energy storage, as well as residential and industrial loads.…”

Section: Introductionmentioning

confidence: 99%

Predictive energy management for a wind turbine with hybrid energy storage system

et al. 2019

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Summary Hybrid energy storage systems (HESSs) help mitigating the fluctuations and variable availability of certain renewable sources, such as wind power, as they can provide support in different time scales. Therefore, regulating their state‐of‐charge (SOC) becomes crucial to ensure that the hybrid system complies with generation commitments agreed in time‐ahead markets despite subsequent unexpected wind speed variations. So far, research has been mainly targeted at avoiding extreme SOC situations in the storage devices, whereas the regulation of this parameter to specific values has often been disregarded. A novel approach is proposed in this work, where model predictive control (MPC) is used to regulate the SOC of a HESS under variable wind and grid demand scenarios. The MPC‐based supervisory controller developed for the hybrid system has been implemented and simulated under different situations. This controller monitors the future variation of the SOC with the aim of having the HESS available to develop its assigned functions successfully. The results show that a proper regulation of the SOC in the HESS increases the capacity to manage the active power supplied to the grid by the hybrid system based on wind power, as well as the level of compliance with generation commitments established time ahead.

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“…To avoid the collapse of the system, load shedding schemes are widely used to curtail loads with low priorities to rebalance the supply and demand, where a variety of conventionally load shedding schemes to cope with the above scenarios have been reported in [5][6][7][8][9]. A dynamic load shedding considered and formulated as a stochastic optimisation problem to economically optimise the islanded microgrid using Markov decision model is one of its kind [5].…”

Section: Introductionmentioning

confidence: 99%

“…A dynamic load shedding considered and formulated as a stochastic optimisation problem to economically optimise the islanded microgrid using Markov decision model is one of its kind [5]. A new strategy based on optimal non-linear predictive control model is recently proposed for an islanded MG to appropriately conserve the grid stability by managing the centralised load shedding mechanism with the integration of battery energy storage [6]. A centralized coordination framework on the basis of three supervisory control stages is also suggested to manage the state of charge equalization among the energy storage units for avoiding uneven degradation, curtailment of the active power of generating units for preventing storage system's overcharge, and load shedding strategies, for avoiding deep discharge of the storage systems [7].…”

Section: Introductionmentioning

confidence: 99%

Smart integrated adaptive centralized controller for islanded microgrids under minimized load shedding

Karimi

Azizipanah‐Abarghooee

Uppal

et al. 2017

2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG)

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Abstract-In this paper, a smart integrated adaptive centralized controller is proposed for monitoring and controlling integrated renewable energy sources (RESs), both for intentional and unintentional islanding modes of operation for microgrids, as well as, for a variable range of transient load shedding and fault scenarios corresponding to electrical power system outages. It is demonstrated that the proposed smart adaptive controller is capable of instructing fast frequency response by proper coordination of the dispatch of RESs units such as, mini-hydro, Photovoltaic (PV), Battery Energy Storage System (BESS) and standby diesel generators. In particular, the BESS used as power reserve, at the early stage of fault events can prevent detrimental and uncontrollable system frequency decline and the extent of load shedding. In summary, the performance of a centralized controller in terms of a fast frequency response recovery feature is validated for an actual microgrid distribution network of Malaysia. The demonstration of this intelligent control scheme highlights the advantage of utilizing the fast power recovery response of energy storage and standby generator, which fulfil the criteria for minimal load shedding from the main grid, during the unintentional microgrid islanding conditions. Index Terms-Frequency response, microgrid, renewable energy sources, battery energy storage, islanding operation, transient load shedding, distribution network, adaptive centralized controller.

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Optimal Energy Management for Stable Operation of an Islanded Microgrid

Cited by 82 publications

References 16 publications

Mitigation of distribution system net‐load ramping using multi‐microgrid system

Mitigation of distribution system net‐load ramping using multi‐microgrid system

Predictive energy management for a wind turbine with hybrid energy storage system

Smart integrated adaptive centralized controller for islanded microgrids under minimized load shedding

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