A bi-level program for the planning of an islanded microgrid including CAES

Zhang, Jun; Li, Kejun; Wang, Mingqiang; Lee, Wei-Jen; Gao, Hongxia

doi:10.1109/ias.2015.7356783

Cited by 23 publications

(32 citation statements)

References 30 publications

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“…This integration can significantly decrease the demand on the transmission line while simultaneously reduces the community's energy cost by 18%. Moreover CAES can moderate fluctuations of renewable energy production due to the large‐scale storage capacities, high ramp rate, and quick start‐up time and therefore are an attractive technology for smart grids …”

Section: Energy Storage Systems In Smart Gridsmentioning

confidence: 99%

On the integration of the energy storage in smart grids: Technologies and applications

et al. 2019

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Smart grids are one of the major challenges of the energy sector for both the energy demand and energy supply in smart communities and cities. Grid connected energy storage systems are regarded as promising solutions for providing ancillary services to electricity networks and to play an important role in the development of smart grids. The aim of the present article is to analyze the role of storage systems in the development of smart grids. The article includes an analysis and a list of energy storage systems that are applied in smart grids. Various energy storage systems are examined raging from electrical, electrochemical, thermal, and mechanical systems. Two case studies are presented that show the role of energy storage in effective management of energy demand and supply.

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Section: Energy Storage Systems In Smart Gridsmentioning

confidence: 99%

On the integration of the energy storage in smart grids: Technologies and applications

et al. 2019

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“…In view of the lack of resources such as financial budgets, the maximum construction number of DGs, BSs is limited as indicated in Equations 3and (4). Similarly, the maximum construction number of WTs and PVs is also constrained by restrictions such as spatial limits, as implied in (5).…”

Section: Basic Microgrid Planning Modelmentioning

confidence: 99%

“…In contrast, Reference [3] makes a long-term planning of microgrids using a game theoretical approach. In Reference [4], a bi-level island microgrid planning model considering the constructions of photovoltaic arrays, wind turbines, diesel generators, and compressed air energy storage systems is presented. However, the model is a deterministic optimization model.…”

Section: Introductionmentioning

confidence: 99%

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Microgrid Planning Considering the Supply Adequacy of Critical Loads under the Uncertain Formation of Sub-Microgrids

2019

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A microgrid can be partitioned into several autonomous sub-microgrids in case of multiple faults in natural disasters. How to guarantee the supply adequacy of critical loads in sub-microgrids is a problem that should be considered at the planning stage. This paper proposes a microgrid planning model considering the supply adequacy of critical loads under the uncertain formation of sub-microgrids. The proposed model minimizes the total cost during the project life, which includes the construction cost and operation cost for the candidate distributed energy resources (DERs). The supply adequacy of critical loads in sub-microgrids is taken into account in the model. As we only know the critical load areas, the locations of switches which divide the microgrid into sub-microgrids are unknown at the planning stage. Considering this uncertainty, the microgrid planning issue is finally formulated as a robust model against the worst formation of sub-microgrids. The developed model is tested on two systems: IEEE 33-bus and 123-bus distribution systems. Simulation indicates (1) the proposed method is more robust than deterministic strategy as critical load loss is intolerable in sub-microgrids; (2) the investment cost is the same with that of the deterministic case when the number of sub-microgrids is within two.

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“…These problems are linked via the benders decomposition method. In [17], authors present a bi-level program for islanded microgrids including compressed air energy storage. The upper level problem is solved using a genetic algorithm (GA), and the lower level problem is solved using an MILP technique.…”

Section: Related Workmentioning

confidence: 99%

Sizing of a stand-alone microgrid considering electric power, cooling/heating and hydrogen

Roche

Miraoui

2017

2017 IEEE Manchester PowerTech

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Microgrids are small-scale power systems that include local generation and storage units to serve their loads. The effectiveness of such systems depends on both sizing and operations, that need to be efficient to minimize costs while ensuring reliable power delivery. In this paper, we build a stand-alone microgrid while considering not only electric power, but also cooling, heating, and hydrogen consumption. A unit commitment algorithm, formulated as a mixed integer linear programming problem, is used to determine the best operation strategy of the system. A genetic algorithm is used to search for the best size of each component. Results show the feasibility of the proposed sizing method.

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A bi-level program for the planning of an islanded microgrid including CAES

Cited by 23 publications

References 30 publications

On the integration of the energy storage in smart grids: Technologies and applications

On the integration of the energy storage in smart grids: Technologies and applications

Microgrid Planning Considering the Supply Adequacy of Critical Loads under the Uncertain Formation of Sub-Microgrids

Sizing of a stand-alone microgrid considering electric power, cooling/heating and hydrogen

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