Joint Investment and Operation of Microgrid

Wang, Hao; Huang, Jianwei

doi:10.1109/tsg.2015.2501818

Cited by 92 publications

(82 citation statements)

References 30 publications

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“…The works [7] and [25] designed distributed algorithms based on the information exchange with an aggregator to coordinate the decisions among different users or microgrids. Such distributed algorithms can be used to realize the concept of transactive energy in the smart grid, which can achieve an equilibrium by exchanging value-based information [26].…”

Section: Related Workmentioning

confidence: 99%

Virtual Energy Storage Sharing and Capacity Allocation

Zhao

Wang

Huang

et al. 2020

IEEE Trans. Smart Grid

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119

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Energy storage can play an important role in energy management of end users. To promote an efficient utilization of energy storage, we develop a novel business model to enable virtual storage sharing among a group of users. Specifically, a storage aggregator invests and operates the central physical storage unit, by virtualizing it into separable virtual capacities and selling to users. Each user purchases the virtual capacity, and utilize it to reduce the energy cost. We formulate the interaction between the aggregator and users as a two-stage optimization problem. In Stage 1, over the investment horizon, the aggregator determines the investment and pricing decisions. In Stage 2, in each operational horizon, each user decides the virtual capacity to purchase together with the operation of the virtual storage. We characterize a stepwise form of the optimal solution of Stage-2 Problem and a piecewise linear structure of the optimal profit of Stage-1 Problem, both with respect to the virtual capacity price. Based on the solution structure, we design an algorithm to attain the optimal solution of the two-stage problem. In our simulation results, the proposed storage virtualization model can reduce the physical energy storage investment of the aggregator by 54.3% and reduce the users' total costs by 34.7%, compared to the case where users acquire their own physical storage.

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Section: Related Workmentioning

confidence: 99%

Virtual Energy Storage Sharing and Capacity Allocation

Zhao

Wang

Huang

et al. 2020

IEEE Trans. Smart Grid

Self Cite

119

View full text Add to dashboard Cite

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“…The PV system [24] output power can be varied due to solar irradiation. The total number of PV modules, modules in series and parallel can be calculated using Equations (2)- (4):…”

Section: Photovoltaic Systemmentioning

confidence: 99%

“…With increasing environmental awareness, renewable generation penetration has increased gradually [2][3][4][5][6]. There are several MGs already installed for providing the electricity for rural areas [7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Robust Frequency and Voltage Stability Control Strategy for Standalone AC/DC Hybrid Microgrid

2017

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Abstract:The microgrid (MG) concept is attracting considerable attention as a solution to energy deficiencies, especially in remote areas, but the intermittent nature of renewable sources and varying loads cause many control problems and thereby affect the quality of power within a microgrid operating in standalone mode. This might cause large frequency and voltage deviations in the system due to unpredictable output power fluctuations. Furthermore, without any main grid support, it is more complex to control and manage the system. In past, droop control and various other coordination control strategies have been presented to stabilize the microgrid frequency and voltages, but in order to utilize the available resources up to their maximum capacity in a positive way, new and robust control mechanisms are required. In this paper, a standalone microgrid is presented, which integrates renewable energy-based distributed generations and local loads. A fuzzy logic-based intelligent control technique is proposed to maintain the frequency and DC (direct current)-link voltage stability for sudden changes in load or generation power. Also from a frequency control perspective, a battery energy storage system (BESS) is suggested as a replacement for a synchronous generator to stabilize the nominal system frequency as a synchronous generator is unable to operate at its maximum efficiency while being controlled for stabilization purposes. Likewise, a super capacitor (SC) and BESS is used to stabilize DC bus voltages even though maximum possible energy is being extracted from renewable generated sources using maximum power point tracking. This newly proposed control method proves to be effective by reducing transient time, minimizing the frequency deviations, maintaining voltages even though maximum power point tracking is working and preventing generators from exceeding their power ratings during disturbances. However, due to the BESS limited capacity, load switching (load shedding scheme) as last option is also introduced in this paper. Simulation results prove the effectiveness of the proposed control strategy from both frequency and voltage perspectives.

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“…A similar design setting as the one discussed in this paper is approached in [21]; in that work, an optimal investment plan of hybrid renewable generation technologies is studied in the context of microgrids. Similarly, a joint investment and operation framework is studied in [22] for the sizing of solar energy, wind energy and energy storage units using realistic microgrid data. Furthermore, the location and sizing of hybrid renewable generators over multiple locations in distributed microgrid systems is studied in [23].…”

Section: Literature Reviewmentioning

confidence: 99%

An Optimization Framework for Investment Evaluation of Complex Renewable Energy Systems

et al. 2017

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Enhancing the role of renewable energies in existing power systems is one of the most crucial challenges that society faces today. However, the high variability of their generation potential and the temporal disparity between the demand and the generation potential represent technological and operational gaps that burden the massive incorporation of renewable sources into power systems. Energy storage technologies are an alternative to tackle this gap; nonetheless, their incorporation within large-scale power grids calls for decision-making tools that ensure an appropriate design and sizing of power systems that exploit the benefits of incorporating storage facilities along with renewable generation power. In this paper, we present an optimization framework for aiding the evaluation of the strategic design of complex renewable power systems. The developed tool relies on an optimization problem, the generation, transmission, storage energy location and sizing problem, which allows one to compute economically-attractive investment plans given by the location and sizing of generation and storage energy systems, along with the corresponding layout of transmission lines. Results on a real case study (located in the central region of Chile), characterized by carefully-curated data, show the potential of the developed tool for aiding long-term investment planning.

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Joint Investment and Operation of Microgrid

Cited by 92 publications

References 30 publications

Virtual Energy Storage Sharing and Capacity Allocation

Virtual Energy Storage Sharing and Capacity Allocation

Robust Frequency and Voltage Stability Control Strategy for Standalone AC/DC Hybrid Microgrid

An Optimization Framework for Investment Evaluation of Complex Renewable Energy Systems

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