Optimal Scheduling of Hybrid Energy Resources for a Smart Home

Rafique, Muhammad Kashif; Haider, Zunaib Maqsood; Mehmood, Khawaja Khalid; Zaman, Muhammad Saeed Uz; Irfan, Muhammad; Khan, Saad Ullah; Kim, Chul‐Hwan

doi:10.3390/en11113201

Cited by 19 publications

(14 citation statements)

References 37 publications

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“…Wouters et al [38] employed a MILP model to evaluate the integration of distributed generation units and microgrids in the current grid infrastructure and identify its optimal design. The latest updates about EMSs are documented in [39][40][41]. In particular, Ford et al [39] highlighted that there is a lack of understanding of how users interact.…”

Section: Literature Reviewmentioning

confidence: 99%

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Optimal Management of the Energy Flows of Interconnected Residential Users

Manservigi¹,

Cattozzo²,

Spina³

et al. 2020

Energies

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In recent years, residential users have begun to be equipped with micro-CHP (combined heat and power) generation technologies with the aim of decreasing primary energy consumption and reducing environmental impact. In these systems, the prime mover supplies both thermal and electrical energy, and an auxiliary boiler and the national electrical grid are employed as supplementary systems. In this paper, a simulation model, which accounts for component efficiency and energy balance, was developed to replicate the interaction between the users and the energy systems in order to minimize primary energy consumption. The simulation model identified the optimal operation strategy of two residential users by investigating different energy system configurations by means of a dynamic programming algorithm. The reference scenario was compared to three different scenarios by considering independent energy systems, shared thermal and electrical energy storage and also the shared prime mover. Such a comparison allowed the identification of the most suitable energy system configuration and optimized operation strategy. The results demonstrate that the optimized operation strategy smoothes the influence of the size of thermal and electrical energy storage. Moreover, the saving of primary energy consumption can be as high as 5.1%. The analysis of the economic feasibility reveals that the investment cost of the prime mover can be as high as 4000 €/kW.

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Section: Literature Reviewmentioning

confidence: 99%

“…In particular, Ford et al [39] highlighted that there is a lack of understanding of how users interact. Rafique et al [40] identified the optimal scheduling of electrical and gas energy resources for a smart home by using a genetic algorithm. Sanguinetti et al [41] investigated the energy benefits related to smart home technology.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal Management of the Energy Flows of Interconnected Residential Users

Manservigi¹,

Cattozzo²,

Spina³

et al. 2020

Energies

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show abstract

“…The proposed scheme considers the uncertainties of PV generation and EV parking, and maximizes the building's profit in a real-time operation by scheduling its net electricity exchange with the power grid. An FC-based micro-CHP system for an SH with EV, boiler and BESS is presented in [33] for electrical and thermal power loops. However, the RES installation was not considered.…”

Section: Literature Reviewmentioning

confidence: 99%

An Intelligent Hybrid Energy Management System for a Smart House Considering Bidirectional Power Flow and Various EV Charging Techniques

et al. 2019

Self Cite

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Compelled by environmental and economic reasons and facilitated by modern technological advancements, the share of hybrid energy systems (HES) is increasing at modern smart house (SH) level. This work proposes an intelligent hybrid energy management system (IHEMS) for an SH connected to a power network that allows a bidirectional power flow. The SH has electrical and thermal power loops, and its main components include renewable energy from wind and photovoltaics, electric vehicle (EV), battery energy storage system, a fuel cell which serves as a micro-combined heat and power system, and a boiler. The proposed IHEMS models the components of the SH, defines their constraints, and develops an optimization model based on the real coded genetic algorithm. The key features of the developed IHEMS are highlighted under six simulation cases considering different configurations of the SH components. Moreover, the standard EV charging techniques are compared, and it is observed that the charging method which is flexible in timing and power injection to the EV is best suited for the economic operation of the SH. The simulation results reveal that the proposed IHEMS minimizes the 24-hour operational cost of the SH by optimally scheduling the energy resources and loads.

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“…The very fast increase of global energy demand over recent decades calls for a new approach to energy sustainable development based on Hybrid Power Systems (HPS) combining Renewable Energy Sources (RESs) and Fuel Cell (FC) systems [1][2][3]. Therefore, innovative solutions based on experimental research have been proposed for the implementation of the Fuel Cell Hybrid Power Systems (FCHPS) with or without support from the RESs [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Optimization of the Fuel Cell Renewable Hybrid Power System Using the Control Mode of the Required Load Power on the DC Bus

2019

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In this paper, a systematic analysis of seven control topologies is performed, based on three possible control variables of the power generated by the Fuel Cell (FC) system: the reference input of the controller for the FC boost converter, and the two reference inputs used by the air regulator and the fuel regulator. The FC system will generate power based on the Required-Power-Following (RPF) control mode in order to ensure the load demand, operating as the main energy source in an FC hybrid power system. The FC system will operate as a backup energy source in an FC renewable Hybrid Power System (by ensuring the lack of power on the DC bus, which is given by the load power minus the renewable power). Thus, power requested from the batteries’ stack will be almost zero during operation of the FC hybrid power system based on RPF-control mode. If the FC hybrid power system operates with a variable load demand, then the lack or excess of power on the DC bus will be dynamically ensured by the hybrid battery/ultracapacitor energy storage system for a safe transition of the FC system under the RPF-control mode. The RPF-control mode will ensure a fair comparison of the seven control topologies based on the same optimization function to improve the fuel savings. The main objective of this paper is to compare the fuel economy obtained by using each strategy under different load cycles in order to identify which is the best strategy operating across entire loading or the best switching strategy using two strategies: one strategy for high load and the other on the rest of the load range. Based on the preliminary results, the fuel consumption using these best strategies can be reduced by more than 15%, compared to commercial strategies.

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Optimal Scheduling of Hybrid Energy Resources for a Smart Home

Cited by 19 publications

References 37 publications

Optimal Management of the Energy Flows of Interconnected Residential Users

Optimal Management of the Energy Flows of Interconnected Residential Users

An Intelligent Hybrid Energy Management System for a Smart House Considering Bidirectional Power Flow and Various EV Charging Techniques

Optimization of the Fuel Cell Renewable Hybrid Power System Using the Control Mode of the Required Load Power on the DC Bus

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