Front Lines Against the Darkness: Enhancing the Resilience of the Electricity Grid Through Microgrid Facilities

Gholami, Amin; Aminifar, Farrokh; Shahidehpour, Mohammad

doi:10.1109/mele.2015.2509879

Cited by 185 publications

(82 citation statements)

References 3 publications

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“…The total day-ahead operation cost of the MG is to be minimized as the objective function of the problem (1). Note that the operation cost of the CHP units stems from generating both electric and heat energy [see (31)].…”

Section: Objective Functionmentioning

confidence: 99%

“…In this regard, microgrids (MGs) can provide a unique opportunity for the effective coordination between these infrastructures to reduce the total operation cost of the network. MG can be defined as an energy hub where multiple energy carriers can be consumed, stored, conditioned, and converted into other required forms of energy [1]. Consequently, in operation studies of MGs, a key question must be addressed: what is the optimal contribution of each energy carrier?…”

Section: Introductionmentioning

confidence: 99%

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Optimal energy management in multi-carrier microgrids: an MILP approach

Shekari¹,

Gholami²,

Aminifar³

2019

J. Mod. Power Syst. Clean Energy

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With the increasing interdependence of various energy carriers, the operation of power systems is found to correlate closely with the limitations on the other energy infrastructures. This paper presents a mixed-integer linear programming (MILP) model for the microgrid (MG) optimal scheduling considering technical and economic ties between electricity and natural gas (NG) systems. In the proposed methodology, different energy converters and storages, including combined heat and power (CHP) units, electricity/heat storage units, and distributed energy resources (DERs) are considered. The proposed model allows the MG operator to minimize the operation cost of the MG while different operational limitations on the energy hub are satisfied. The model is developed based on AC power flow constraints so as to respect reactive power and voltage security constraints. The efficiency and robustness of the proposed MILP formulation are successfully verified using a large-scale test MG.

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Section: Objective Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal energy management in multi-carrier microgrids: an MILP approach

Shekari¹,

Gholami²,

Aminifar³

2019

J. Mod. Power Syst. Clean Energy

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“…At each time interval, the maximum available power of PV unit is determined by (6). Therefore, according to (25), the exploited active power of each PV unit should be less than its maximum limit.…”

Section: Pv Constraintsmentioning

confidence: 99%

“…Accordingly, an economically and technically satisfied scheduling of the whole system would be granted. [5][6][7] By accommodating the required infrastructures, SDGs are eagerly provoking higher renewable generations to support the clean and sustainable energy provision. Thus, the pollutant green-house gases are capped, efficiently.…”

mentioning

confidence: 99%

Smart grid adds to renewable resources hosting capacity: Collaboration of plug-in hybrid electric vehicles in Volt/VAr control process

2017

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Summary This paper develops an efficient energy management approach to increase the renewables share in energy provision of smart distribution grids (SDGs). Voltage violation ends in curtailment of renewables generations and, hence, decreases the economic success of distribution companies. To avert such deficits, this study fosters the collaboration of SDG components in an intelligent Volt/VAr control process. The investigated SDG is characterized with high penetration of photovoltaics (PVs), dispatchable distributed generations (DDGs), plug‐in hybrid electric vehicles (PHEVs), and infield control devices say as under‐load tap‐changing transformers (ULTCs). In charge stations, PHEVs are coupled to the SDG through bidirectional inverters which are offering simultaneous exchanges of active and reactive powers. Thus, regarding the PHEV aggregators, optimal schedules of active power charge/discharge signals with their inductive/capacitive reactive power provisions are determined. This notion effectively increases PV power injections and, consequently, provides significant monetary savings. Besides, this mechanism reduces ULTC tap operations in Volt/VAr control process maintaining its nominal lifetime. The proposed approach is formulated as a mixed‐integer non‐linear programming (MINLP) and solved based on DICOPT solvers in general algebraic modeling system (GAMS). Effectiveness of the proposed approach is explored on a typical distribution test system. The obtained results show 8.94% increment in harvested PVs power and hence 5.24% reduction on daily operation cost of SDG.

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“…Microgrids (MGs) are a part of distribution systems that include several means of distributed generation (DG), renewable energy sources (RESs), storage devices and controllable loads and have the capability to operate either in connected or isolated mode [1,2]. During islanded operation, due to low inertia of MG and intermittent nature of RESs such as wind and solar, there might be some frequency deviations beyond the acceptable range.…”

Section: Introductionmentioning

confidence: 99%

Coordination of EVs Participation for Load Frequency Control in Isolated Microgrids

et al. 2017

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Abstract:Increasing the penetration levels of renewable energy sources (RESs) in microgrids (MGs) may lead to frequency instability issues due to intermittent nature of RESs and low inertia of MG generating units. On the other hand, presence of electric vehicles (EVs), as new high-electricityconsuming appliances, can be a good opportunity to contribute in mitigating the frequency deviations and help the system stability. This paper proposes an optimal charging/discharging scheduling of EVs with the goal of improving frequency stability of MG during autonomous operating condition. To this end, an efficient approach is applied to reschedule the generating units considering the EVs owners' behaviors. An EV power controller (EVPC) is also designed to determine charge and discharge process of EVs based on the forecasted day-ahead load and renewable generation profiles. The performance of the proposed strategy is tested in different operating scenarios and compared to those from non-optimized methodologies. Numerical simulations indicate that the MG performance improves considerably in terms of economy and stability using the proposed strategy.

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Front Lines Against the Darkness: Enhancing the Resilience of the Electricity Grid Through Microgrid Facilities

Cited by 185 publications

References 3 publications

Optimal energy management in multi-carrier microgrids: an MILP approach

Optimal energy management in multi-carrier microgrids: an MILP approach

Smart grid adds to renewable resources hosting capacity: Collaboration of plug-in hybrid electric vehicles in Volt/VAr control process

Coordination of EVs Participation for Load Frequency Control in Isolated Microgrids

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