A home energy management model considering energy storage and smart flexible appliances: A modified time-driven prospect theory approach

Dorahaki, Sobhan; Rashidinejad, Masoud; Ardestani, Seyed Farshad Fatemi; Abdollahi, Amir; Salehizadeh, Mohammad Reza

doi:10.1016/j.est.2022.104049

Cited by 36 publications

(14 citation statements)

References 20 publications

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“…Recent studies mainly focus on user comfort which is considered the primary focus of minimizing the energy consumption cost and promoting user comfort for consumers' emotions and tendencies [53]. And the discomfort of users participation in the DR programs of residents [116].…”

Section: ) User Comfortmentioning

confidence: 99%

“…Table 9 lists the references related to single and multiobjective optimization. Among these articles, the single objective approach is presented in [51], [53], [62], [63], [79], [87], [94], [97], [99], [101], [104], [105], [109], [113], [115], [118], and [119]. The single objective formulations mainly include electricity costs minimization [63], [79], [94], [97], [99], [101], self-scheduling [104], [105], total profit maximization [62], maintenance cost minimization [109], load peak minimization [113], PAR reduction [114], energy balance [115], user's satisfaction maximization [53], energy consumption minimization [51], [119], and multi-home coordinated load scheduling [118].…”

Section: ) Single Objective Functions and Multi-objective Functionsmentioning

confidence: 99%

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Home Energy Management Systems: A Review of the Concept, Architecture, and Scheduling Strategies

et al. 2023

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Growing electricity demand, the deployment of renewable energy sources and the widespread use of smart home appliances provide new opportunities for home energy management systems (HEMSs), which can be defined as systems that improve the overall energy production and consumption of residential buildings by controlling and scheduling the use of household equipment. By saving energy, reducing residential electricity costs, optimizing the utilization rate and reliability of utility companies' power systems, and reducing air pollution for society, HEMSs lead to an enhancement in the socioeconomic development of low-carbon economies. This review aims to systematically analyze and summarize the development trends and challenges of HEMSs in recent years. This paper reviews the development history of the HEMS architecture and discusses the characteristics of several major communication technologies in the current HEMS infrastructure. In addition, the common objectives and constraints related to scheduling optimization are classified, and several optimization methods in the literature, including various intelligent algorithms, have been introduced, compared, and critically analyzed. Furthermore, experimental studies and challenges in the real world are also summarized and recommendations are given. This paper reveals the trend from simple to complex in the architecture and functionality of HEMSs, discusses the challenges for future improvements in modeling and scheduling, and shows the development of various modeling and scheduling methods. Based on this review, researchers can gain a comprehensive understanding of current research trends in HEMSs and open up ideas for developing new modeling and scheduling approaches by gaining insight into the trade-offs between optimum solutions and computational complexity.INDEX TERMS Demand response, home appliances, home energy management system, optimization, renewable energy resources, smart grid.

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Section: ) User Comfortmentioning

confidence: 99%

Section: ) Single Objective Functions and Multi-objective Functionsmentioning

confidence: 99%

Home Energy Management Systems: A Review of the Concept, Architecture, and Scheduling Strategies

et al. 2023

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“…In this regard, most of the operational research try to develop a linear and convex optimization approach to obtain an efficient and global optimal solution. A linear and convex optimization approach is addressed by [16] to solve the scheduling problem of the multi‐carrier energy system. As another application of linear optimization approaches in the energy hub system, a linear risk‐based stochastic optimization approach is developed by [17] to evaluate the impacts of the operator's risk attitudes on the operation costs in the multi‐carrier energy systems.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic/information gap decision theory‐based bilevel optimal management for multi‐carrier network by aggregating energy communities

Dorahaki

Rashidinejad

Ardestani

et al. 2023

IET Renewable Power Gen

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Energy communities are one of the vital puzzle pieces of future smart cities. This paper proposes a novel structure for a sustainable smart city by integrating energy communities in a multi‐carrier energy network. Each energy community has a manager; the so‐called Energy Community Managers (ECM), who trades energy with the upstream Multi‐Carrier Network Operator (MCNO). On the other hand, MCNO participates in the upstream energy markets to satisfy the demands of energy communities by maximizing its own profit. Therefore, ECMs and MCNO should solve a bilevel optimization problem associated with some common variables at both levels such as: energy carrier price and the amount of energy carrier exchange. In fact, MCNO is the leader and ECMs are the followers of such a bilevel optimization problem. Strong duality is employed to convert the bilevel optimization into a single level, while uncertainties are modelled by information gap decision theory and a scenario‐based approach. Sensitivity analysis shows that the thermal energy selling price and the gas buying price are the most crucial influencing on the profit of MCNO by 3.22% and −3.91%, respectively. Furthermore, the obtained results indicate that the risk attitude of the multi‐carrier energy network operator has a critical role in the total profit.

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“…Batteries increase both the reliability and independence of a solar PV system, (Jiang, Kang, and Liu, 2021). For use in residential, commercial, or community (with grid access) applications, battery energy storage systems (BESS) are integrated with grid-connected PV systems to allow more independence from the grid and increase the level of self-consumption (Dorahaki et al, 2022). In such cases, power is taken from the grid only if the power generated by the solar PV system and the energy available in the BESS is not high enough to supply the load.…”

Section: Introductionmentioning

confidence: 99%

Techno-economic analysis of a PV system with a battery energy storage system for small households: A case study in Rwanda

2022

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Due to the inadequacy of distribution networks in developing countries, especially in small residential areas, there are frequent interruptions in the electrical energy provided by the grid. This problem negatively affects the life quality and productivity of the people living in these regions. This problem can be overcome by integrating BESS-supported renewable energy sources into the distribution system. These distributed energy resources contribute significantly to providing energy directly to consumers. On a small scale, such a system is supported by the grid, when possible, to ensure energy supply continuity. This study presents a techno-economic analysis, using PV*SOL simulation software, of a grid-connected solar PV system with BESS that is used to supply a small residential community in Rwanda, Muhanga district, Shyogwe sector. The consumers were a group of one hundred households around a wetland valley. The energy generated from the solar PV system was used to supply home appliances and a water pumping system for agricultural activities. The simulation results showed that the annual energy requirement is 82.34 MWh with a peak load of 30.4 kW. The simulation results also revealed that a PV system, with an installed capacity of 57.33 kWp integrated with a BESS of 89.2 kWh storage capacity, can supply the load with own power consumption of 68.65%, a level of self-sufficiency of 64.38%, and a performance ratio of 86.05% when the desired ratio is set to 110% with a year as the reference period. The financial analysis demonstrated a return on assets of 9.14% and an amortization period of 9.65 years. These results indicate that the proposed method is technically and economically feasible for use in addressing the issue of electrical power outages in developing countries.

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A home energy management model considering energy storage and smart flexible appliances: A modified time-driven prospect theory approach

Cited by 36 publications

References 20 publications

Home Energy Management Systems: A Review of the Concept, Architecture, and Scheduling Strategies

Home Energy Management Systems: A Review of the Concept, Architecture, and Scheduling Strategies

Probabilistic/information gap decision theory‐based bilevel optimal management for multi‐carrier network by aggregating energy communities

Techno-economic analysis of a PV system with a battery energy storage system for small households: A case study in Rwanda

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