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Electrical Engineering

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15-07-2023 | Original Paper

Energy interactions between in-home energy management (i-HEM) systems for enhancing resilience in smart residential microgrid

Authors: Hassan Mokhtarzadeh, Javad Olamaei, Seyed Mostafa Abedi, Hassan Siahkali, Ali Akhavein

Published in: Electrical Engineering | Issue 6/2023

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Abstract

This paper presents an efficient model for optimal planning of electrical energy management in a smart residential microgrid (SRMG) by considering energy interactions among smart homes and with the purpose of SRMG’s resilience improvement. A two-state linearized mathematical programming framework is given for the development of such notions. The first state proclaims a regular, disruption-free SRMG state, whereas the second state declares a disturbed SRMG state. In the initial state, two steps are taken into account. In the first stage, the minimum energy cost for each smart home, and in the second stage, minimum load profile deviation for SRMG is considered. In the second state energy interactions among in-home energy management systems to enhance the resilience is deliberated. The main objective of these two states is to advance SRMG’s resiliency by considering modified SRMG’s load profile and minimized smart homes’ daily energy cost. Based on the obtained numerical results, energy interactions among smart homes have diminished smart home’s energy cost about 3.34% in normal state, modified SRMG’s load profile deviation about 3.62% in normal state, and improved SRMG’s resilience about 32% in disrupted state.

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Hossain E, Roy S, Mohammad N, Nawar N, Dipta DR (2021) Metrics and enhancement strategies for grid resilience and reliability during natural disasters. Appl Energy. https://doi.org/10.1016/j.apenergy.2021.116709CrossRef

Rasheed MB, Javaid N, Ahmad A, Jamil M, Khan ZA, Qasim U, Alrajeh N (2016) Energy optimization in smart homes using customer preference and dynamic pricing. Energies 9(8):593. https://doi.org/10.3390/en9080593CrossRef

Jufri FH, Widiputra V, Jung J (2019) State-of-the-art review on power grid resilience to extreme weather events: definitions, frameworks, quantitative assessment methodologies, and enhancement strategies. Appl Energy 239:1049–1065CrossRef

Al-Shammari HQ, Lawey AQ, El-Gorashi TE, Elmirghani JM (2020) Resilient service embedding in IoT networks. IEEE Access 8:123571–123584CrossRef

Yang Y, Wang S (2021) Resilient residential energy management with vehicle-to-home and photovoltaic uncertainty. Int J Electr Power Energy Syst 132:107206CrossRef

Balouch S, Abrar M, Abdul Muqeet H, Shahzad M, Jamil H, Hamdi M, Malik AS, Hamam H (2022) Optimal scheduling of demand side load management of smart grid considering energy efficiency. Front. Energy Res 10:861571. https://doi.org/10.3389/fenrg.2022.861571CrossRef

Chamandoust H et al (2021) Energy management of a smart autonomous electrical grid with a hydrogen storage system. Int J Hydrogen Energy 46(34):17608–17626. https://doi.org/10.1016/j.ijhydene.2021.02.174CrossRef

Sun B, Li Y, Zeng Y, Chen J, Shi J (2022) Optimization planning method of distributed generation based on steady-state security region of distribution network. Energy Rep 8:4209–4222. https://doi.org/10.1016/j.egyr.2022.03.078CrossRef

Cai T, Dong M, Chen K, Gong T (2022) Methods of participating power spot market bidding and settlement for renewable energy systems. Energy Rep 8:7764–7772. https://doi.org/10.1016/j.egyr.2022.05.291CrossRef

10.

Gupta R, Bruce-Konuah A, Howard A (2019) Achieving energy resilience through smart storage of solar electricity at dwelling and community level. Energy and buildings 195:1–15CrossRef

11.

Chamandoust H et al (2022) Optimal hybrid participation of customers in a smart micro-grid based on day-ahead electrical market. Artif Intell Rev. https://doi.org/10.1007/s10462-022-10154-zCrossRef

12.

Nasir T, Raza S, Abrar M, Muqeet HA, Jamil H, Qayyum F, Cheikhrouhou O, Alassery F, Hamam H (2021) Optimal scheduling of campus microgrid considering the electric vehicle integration in smart grid. Sensors 21(21):7133. https://doi.org/10.3390/s21217133CrossRef

13.

Chen J, Sun B, Li Y, Jing R, Zeng Y, Li M (2022) Credible capacity calculation method of distributed generation based on equal power supply reliability criterion. Renew Energy 201:534–547. https://doi.org/10.1016/j.renene.2022.10.129CrossRef

14.

Gong H, Rallabandi V, McIntyre ML, Hossain E, Ionel DM (2021) Peak reduction and long term load forecasting for large residential communities including smart homes with energy storage. IEEE Access 9:19345–19355CrossRef

15.

Huang N, Zhao X, Guo Y, Cai G, Wang R (2023) Distribution network expansion planning considering a distributed hydrogen-thermal storage system based on photovoltaic development of the whole county of China. Energy 278:127761. https://doi.org/10.1016/j.energy.2023.127761CrossRef

16.

Bertheau P (2020) Supplying not electrified islands with 100% renewable energy based micro grids: a geospatial and techno-economic analysis for the Philippines. Energy. https://doi.org/10.1016/j.energy.2020.117670CrossRef

17.

Lee S, Choi DH (2022) Federated reinforcement learning for energy management of multiple smart homes with distributed energy resources. IEEE Trans Industr Inf 18(1):488–497CrossRef

18.

Chamandoust H et al (2020) Tri-objective scheduling of residential smart electrical distribution grids with optimal joint of responsive loads with renewable energy sources. J Energy Storage 27:101112. https://doi.org/10.1016/j.est.2019.101112CrossRef

19.

Sattarpour T, Nazarpour D, Golshannavaz S (2018) A multi-objective HEM strategy for smart home energy scheduling: a collaborative approach to support microgrid operation. Sustain Cities Soc 37:26–33CrossRef

20.

Lin L, Shi J, Ma C, Zuo S, Zhang J, Chen C, Huang N (2023) Non-intrusive residential electricity load decomposition via low-resource model transferring. J Build Eng 73:106799. https://doi.org/10.1016/j.jobe.2023.106799CrossRef

21.

Zhang Z, Altalbawy FMA, Al-Bahrani M, Riadi Y (2023) Regret-based multi-objective optimization of carbon capture facility in CHP-based microgrid with carbon dioxide cycling. J Cleaner Prod 384:135632. https://doi.org/10.1016/j.jclepro.2022.135632CrossRef

22.

Chamandoust H et al (2020) Multi-objective performance of smart hybrid energy system with multi-optimal participation of customers in day-ahead energy market. Energy Build 216:109964. https://doi.org/10.1016/j.enbuild.2020.109964CrossRef

23.

Younesi A, Shayeghi H, Siano P, Safari A (2021) A multi-objective resilience-economic stochastic scheduling method for microgrid. Int J Electr Power Energy Syst 131:106974CrossRef

24.

Mishra DK, Ghadi MJ, Azizivahed A, Li L, Zhang J (2021) A review on resilience studies in active distribution systems. Renew Sustain Energy Rev 135:110201CrossRef

25.

Oprea SV, Bâra A (2023) Mind the gap between PV generation and residential load curves: Maximizing the roof-top PV usage for prosumers with an IoT-based adaptive optimization and control module. Expert Syst Appl 212:118828CrossRef

26.

Oprea SV, Bâra A (2021) Edge and fog computing using IoT for direct load optimization and control with flexibility services for citizen energy communities. Knowl-Based Syst 228:107293CrossRef

27.

Oprea SV, Bâra A, Ifrim GA (2021) Optimizing the electricity consumption with a high degree of flexibility using a dynamic tariff and stackelberg game. J Optim Theory Appl 190:151–182MathSciNetCrossRefMATH

28.

Hung DQ, Mithulananthan N, Lee KY (2014) Determining PV Penetration for Distribution Systems with Time-Varying Load Models. IEEE Trans Power Syst 29(6):3048–3057CrossRef

29.

Tarasak PP, Chai CC, Kwok YS, Oh SW (2014) Demand bidding program and its application in hotel energy management. IEEE Transactions on Smart Grid 5(2):821–828CrossRef

Title: Energy interactions between in-home energy management (i-HEM) systems for enhancing resilience in smart residential microgrid
Authors: Hassan Mokhtarzadeh
Javad Olamaei
Seyed Mostafa Abedi
Hassan Siahkali
Ali Akhavein
Publication date: 15-07-2023
Publisher: Springer Berlin Heidelberg
Published in: Electrical Engineering / Issue 6/2023
Print ISSN: 0948-7921
Electronic ISSN: 1432-0487
DOI: https://doi.org/10.1007/s00202-023-01912-5

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