Capturing Wind With Thermal Energy Storage—Summerside’s Smart Grid Approach

Wong, Steven; Gaudet, Greg; Proulx, Louis-Philippe

doi:10.1109/jpets.2017.2754139

Cited by 11 publications

(4 citation statements)

References 17 publications

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“…Fast acting controllable loads can be used to provide wind regulation, and this case models a TESS being used in this way. TESS are energy storage devices with the ability to store energy in the form of heat for later use [17]. TESS have even been used in combination with WTGs and other renewable energy sources [18], [19].…”

Section: Case 4: Dispatchable Load Coordinationmentioning

confidence: 99%

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MicroGrid Renewable Integration Dispatch and Sizing (MiGRIDS) Analysis of Spinning and Regulating Reserve Options for Wind in an Alaskan Diesel Microgrid

VanderMeer,

Green,

Darbali-Zamora

et al. 2023

IEEE Access

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St. Mary's is a remote, isolated, Alaska microgrid that relies on diesel generation. Recently, a wind turbine generator (WTG) with a rated capacity just below system peak load was installed to help reduce diesel fuel consumption. With this WTG, St. Mary's could significantly reduce their fuel consumption and run significant amounts of the year without any diesel generators (DG) online ("diesels-off"). However, wind power needs to be covered with spinning reserve capacity (SRC) and regulating reserves. Since there are no other sources, this needs to come from the DG, which does not allow them to turn offline and reduces the amount of potential fuel savings. The Alaska Village Electric Cooperative (AVEC) has invested in a "Grid Bridging System" (GBS), an energy storage system meant primarily to provide SRC and regulating reserves to allow the DG to go offline, scheduled to be installed in 2023. This paper uses the open source Python-based software tool Micro Grid Renewable Integration Dispatch and Sizing (MiGRIDS) to investigate the benefits and impacts of several methods to reduce or replace SRC and regulating requirements on the DG. These include optimizing SRC requirements, adding a GBS to the system, using short-term wind forecasting and using a fast acting controllable thermal energy storage system (TESS). The GBS resulted in the greatest fuel savings. Optimizing SRC and short-term wind forecasting resulted in a small decrease in fuel consumption on their own, but in combination with a GBS resulted in a much greater reduction. Finally, the TESS was was able to regulate a poorly controllable WTG so that it behaved similar to a highly controllable WTG, at some expense to wind import.INDEX TERMS microgrids, renewable energy, energy storage, grid forming inverters

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Section: Case 4: Dispatchable Load Coordinationmentioning

confidence: 99%

“…TESS have even been used in combination with WTGs and other renewable energy sources [18], [19]. The use of TESS has even been a solution for remote communities in Alaska [17], [20].…”

Section: Case 4: Dispatchable Load Coordinationmentioning

confidence: 99%

MicroGrid Renewable Integration Dispatch and Sizing (MiGRIDS) Analysis of Spinning and Regulating Reserve Options for Wind in an Alaskan Diesel Microgrid

VanderMeer,

Green,

Darbali-Zamora

et al. 2023

IEEE Access

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“…Electric thermal storage (ETS) is an electric heating system that consists of insulated thermal bricks used for retaining heat for later use [58], available for residential and commercial applications [59]. With ETS, it is possible to store the thermal energy that is converted starting from electricity and use this thermal energy to serve the heating demand [60].…”

Section: Electric Thermal Storagementioning

confidence: 99%

Thermal Energy Storage for Grid Applications: Current Status and Emerging Trends

et al. 2020

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Thermal energy systems (TES) contribute to the on-going process that leads to higher integration among different energy systems, with the aim of reaching a cleaner, more flexible and sustainable use of the energy resources. This paper reviews the current literature that refers to the development and exploitation of TES-based solutions in systems connected to the electrical grid. These solutions facilitate the energy system integration to get additional flexibility for energy management, enable better use of variable renewable energy sources (RES), and contribute to the modernisation of the energy system infrastructures, the enhancement of the grid operation practices that include energy shifting, and the provision of cost-effective grid services. This paper offers a complementary view with respect to other reviews that deal with energy storage technologies, materials for TES applications, TES for buildings, and contributions of electrical energy storage for grid applications. The main aspects addressed are the characteristics, parameters and models of the TES systems, the deployment of TES in systems with variable RES, microgrids, and multi-energy networks, and the emerging trends for TES applications.

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“…In view of these challenges, numerous techniques have been proposed in the literature to alleviate the impact of high RES penetration. These include methods pertaining to enhancing the prediction accuracy of RES [6][7][8] and techniques pertaining to the use of energy storage systems (ESS) [9,10], in particular battery energy storage systems (BESS) [11].…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Mitigation of Energy Scheduling Inaccuracy in Renewable-Penetrated Grids: Summerside Electric Use Case

Farrokhabadi¹

2019

Energies

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This paper presents findings on mitigating the negative impact of renewable energy resources variability on the energy scheduling problem, in particular for island grids and microgrids. The methods and findings presented in this paper are twofold. First, data obtained from the City of Summerside in the province of Prince Edward Island, Canada, is leveraged to demonstrate the effectiveness of state-of-the-art time series predictors in mitigating energy scheduling inaccuracy. Second, the outcome of the time series prediction analysis is used to propose a novel data-driven battery energy storage system (BESS) sizing study for energy scheduling purposes. The proposed probabilistic method accounts for intra-interval variations of generation and demand, thus mitigating the trade-off between time resolution of the problem formulation and the solution accuracy. In addition, as part of the sizing study, a BESS management strategy is proposed to minimize energy scheduling inaccuracies, and is then used to obtain the optimal BESS size. Finally, the paper presents quantitative analyses of the impact of both the energy predictors and the BESS on the supplied energy cost using the actual data of the Summerside Electric grid. The paper reveals the significant potential for reducing energy cost in renewable-penetrated grids and microgrids through state-of-the-art predictors combined with applications of properly-sized energy storage systems.

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Capturing Wind With Thermal Energy Storage—Summerside’s Smart Grid Approach

Cited by 11 publications

References 17 publications

MicroGrid Renewable Integration Dispatch and Sizing (MiGRIDS) Analysis of Spinning and Regulating Reserve Options for Wind in an Alaskan Diesel Microgrid

MicroGrid Renewable Integration Dispatch and Sizing (MiGRIDS) Analysis of Spinning and Regulating Reserve Options for Wind in an Alaskan Diesel Microgrid

Thermal Energy Storage for Grid Applications: Current Status and Emerging Trends

Data-Driven Mitigation of Energy Scheduling Inaccuracy in Renewable-Penetrated Grids: Summerside Electric Use Case

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