Wind variability mitigation using multi-energy systems

Coelho, António Manuel Flores Romão de Azevedo Gonçalves; Neyestani, Nilufar; Soares, Filipe; Lopes, João

doi:10.1016/j.ijepes.2019.105755

Cited by 18 publications

(14 citation statements)

References 37 publications

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“…So far, various research studies have been carried out for maximizing the MEM flexibility considering the equipment power scheduling specially focused on demand response. Cesena and Mancarella [7] and Coelho et al [8] present a framework for scheduling of microgrid equipment to increase the flexibility. But, equipment reserve and its impact on consumers thermal comfort (service quality reduction) and also thermal storage of building fabric are not considered.…”

Section: Literature Reviewmentioning

confidence: 99%

“…But, equipment reserve and its impact on consumers thermal comfort (service quality reduction) and also thermal storage of building fabric are not considered. Moreover, temperature profile in thermal load is not modeled separately, which does not analyze the building occupants behavior completely and ignores the impact of its probabilities in MEM power management (selling energy to the upstream network is not investigated in [8], therefore, the optimized MEM revenue is not obtained). Also, the method proposed by Gazijahani et al [9] deals with the simultaneous scheduling of energy and reserve of microgrid equipment in the market, and the results of which show the reduction of microgrid cost and minimization of pollutant emissions that improves air quality in cities.…”

Section: Literature Reviewmentioning

confidence: 99%

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Enhancement of flexibility in multi-energy microgrids considering voltage and congestion improvement: Robust thermal comfort against reserve calls

Kazemi‐Razi

Abyaneh

Nafisi

et al. 2021

Sustainable Cities and Society

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Enhancement of flexibility in multi-energy microgrids considering voltage and congestion improvement: Robust thermal comfort against reserve calls

Kazemi‐Razi

Abyaneh

Nafisi

et al. 2021

Sustainable Cities and Society

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“…The increased flexibility needs of future energy systems can primarily be satisfied at the demand side, where the integration of different energy systems (electricity, heat and gas) will be one of the most promising options to deliver additional flexibility while keeping the user comfort level and avoiding service disruption. Multi-Energy Systems (MES) can help in increasing the penetration of renewable energy sources (RES) due to the possibility of switching between energy sources and large-scale heat and gas storage systems, which are, in general, cheaper than electricity storage technologies, such as Li-ion batteries [3].…”

Section: Motivation and Aimmentioning

confidence: 99%

“…Several works focus on the use of different type of resources like virtual storage by heating/cooling sources, technologies like combined heat and power (CHP) [7], fuel cells (FC) [8], power-to-gas (P2G) [9], microgrids [10], fuel stations [11] or parking lots [12] in order to study the advantages that their operation can bring to the energy systems. This flexibility can be used to help increasing renewables integration [3,13], solving technical problems in electricity networks [14] and decreasing CO 2 emissions [15].…”

Section: Literature Reviewmentioning

confidence: 99%

Flexibility Assessment of Multi-Energy Residential and Commercial Buildings

2020

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With the growing concern about decreasing CO 2 emissions, renewable energy sources are being vastly integrated in the energy systems worldwide. This will bring new challenges to the network operators, which will need to find sources of flexibility to cope with the variable-output nature of these technologies. Demand response and multi-energy systems are being widely studied and considered as a promising solution to mitigate possible problems that may occur in the energy systems due to the large-scale integration of renewables. In this work, an optimal model to manage the resources and loads within residential and commercial buildings was developed, considering consumers preferences, electrical network restrictions and CO 2 emissions. The flexibility that these buildings can provide was analyzed and quantified. Additionally, it was shown how this model can be used to solve technical problems in electrical networks, comparing the performance of two scenarios of flexibility provision: flexibility obtained only from electrical loads vs. flexibility obtained from multi-energy loads. It was proved that multi-energy systems bring more options of flexibility, as they can rely on non-electrical resources to supply the same energy needs and thus relieve the electrical network. It was also found that commercial buildings can offer more flexibility during the day, while residential buildings can offer more during the morning and evening. Nonetheless, Multi-Energy System (MES) buildings end up having higher CO 2 emissions due to a higher consumption of natural gas.

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“…As a novel form of the energy system, the multi-energy system (MES) couples multi kinds of energy flow, such as electricity, natural gas, and heat, which not only meets the different energy demands of users but also has considerable operational flexibility because of the energy complementary [5,6]. Hence, the MES is believed to an excellent choice to promote the local consumption of RES and improve energy efficiency [7,8].…”

Section: Introductionmentioning

confidence: 99%

Optimal Hybrid Energy Storage System Planning of Community Multi-Energy System Based on Two-Stage Stochastic Programming

Shen

Luo

Xiong³

et al. 2021

IEEE Access

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The multi-energy system (MES) provides a good environment for the local consumption of renewable energy such as wind and solar power because of its high operational flexibility. In the MES, the hybrid energy storage system (HESS) composed of the battery and thermal storage tank plays an important role in enhancing reliability, economics, and operational flexibility. Hence, determining the optimal size of HESS in the MES is a critical problem but has not received enough attention. In light of this problem, this paper focuses on the optimal HESS planning problem in the community MES (CMES) under diverse uncertainties. Firstly, a two-stage stochastic planning model is proposed for the CMES to coordinate the optimal long-term HESS allocation and the short-term system operation. The thermal inertia in the heating network, space heating demand, and domestic hot water demand is utilized to reduce both the planning and operational cost. Secondly, a deterministic equivalence is proposed for the two-stage planning model to convert it into a mixed-integer linear programming model, which is then solved by off-the-shelf solvers. Finally, simulation results verify the effectiveness of the proposed method. The results reveal that the HESS can enhance the operational flexibility of the CMES but only needs a very few investment costs and prove that the thermal inertia in the CMES can reduce the investment cost of HESS, the fuel, and the operational maintenance cost.INDEX TERMS Battery, community multi-energy system, hybrid energy storage system, mixed-integer linear programming, operational flexibility, renewable energy, thermal storage tank, two-stage stochastic programming, uncertainty.

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Wind variability mitigation using multi-energy systems

Cited by 18 publications

References 37 publications

Enhancement of flexibility in multi-energy microgrids considering voltage and congestion improvement: Robust thermal comfort against reserve calls

Enhancement of flexibility in multi-energy microgrids considering voltage and congestion improvement: Robust thermal comfort against reserve calls

Flexibility Assessment of Multi-Energy Residential and Commercial Buildings

Optimal Hybrid Energy Storage System Planning of Community Multi-Energy System Based on Two-Stage Stochastic Programming

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