Implementation of a novel home energy management system (HEMS) architecture with solar photovoltaic system as supplementary source

Shakeri, Mohammad Taghi; Shayestegan, Mohsen; Reza, Shamim; Yahya, Iskandar; Bais, Badariah; Akhtaruzzaman, Md; Sopian, Kamaruzzaman; Amin, Nowshad

doi:10.1016/j.renene.2018.01.114

Cited by 95 publications

(42 citation statements)

References 30 publications

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“…Furthermore, a rapid increase in the installations of renewable energy sources (RESs) and energy storage systems (ESSs) has motivated the researchers to focus on methods to combine PDDR-based HEMS operations with dispatch schemes and the power grid. In this regard, various algorithms have been proposed for optimal operations of PDDR-RED-based HEMSs [15][16][17][18][19][20][21]. Lujano et al presented a GA-based scheme for the management of SHAs, electric vehicles (EVs) and the local generation including the photovoltaic (PV) system for a RES-based HEMS.…”

Section: Introductionmentioning

confidence: 99%

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A Weighted-Sum PSO Algorithm for HEMS: A New Approach for the Design and Diversified Performance Analysis

et al. 2019

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This research focuses on a decomposed-weighted-sum particle swarm optimization (DWS-PSO) approach that is proposed for optimal operations of price-driven demand response (PDDR) and PDDR-synergized with the renewable and energy storage dispatch (PDDR-RED) based home energy management systems (HEMSs). The algorithm for PDDR-RED-based HEMS is developed by combining a DWS-PSO-based PDDR scheme for load shifting with the dispatch strategy for the photovoltaic (PV), storage battery (SB), and power grid systems. Shiftable home appliances (SHAs) are modeled for mixed scheduling (MS). The MS includes advanced as well as delayed scheduling (AS/DS) of SHAs to maximize the reduction in the net cost of energy ( C E ). A set of weighting vectors is deployed while implementing algorithms and a multi-objective-optimization (MOO) problem is decomposed into single-objective sub-problems that are optimized simultaneously in a single run. Furthermore, an innovative method to carry out the diversified performance analysis (DPA) of the proposed algorithms is also proposed. The method comprises the construction of a diversified set of test problems (TPs), defining of performance metrics, and computation of the metrics. The TPs are constructed for a set of standardized dynamic pricing signal and for scheduling models for MS and DS. The simulation results show the gradient of the tradeoff line for the reduction in C E and related discomfort for DPA.

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Section: Introductionmentioning

confidence: 99%

“…The problem is formulated to minimize the overall CE. The TBD has been reduced by shifting HAs preferably towards the SB [20]. A few authors have handled the MO making use of Pareto optimality concepts as posteriori.…”

Section: Introductionmentioning

confidence: 99%

A Weighted-Sum PSO Algorithm for HEMS: A New Approach for the Design and Diversified Performance Analysis

et al. 2019

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“…Considerable work has been undertaken concerning home/residential microgrid energy management for the integration of renewables and EVs into residential loads and optimization of energy consumption for end-users [5][6][7][8][9][10][11][12]. However, most of the existing literature is only directed toward a single residential microgrid system, the interaction relationship between RMGs and active distribution network (ADN) were not taken into account.…”

Section: Introductionmentioning

confidence: 99%

“…In [6], an optimal management system is proposed for the energy management of a residential microgrid, this optimization model considered the renewable energy sources, integration of electric vehicles, vehicle to the grid system, and the energy consumption of a household with the day-ahead electricity price. The researchers in [9][10][11][12] studied the designing of home energy management systems for coordinated optimal control between the behavior of energy use of a household and the operation of distributed energy resources. In [13], optimal management problem of an RMG is formulated as a mixed integer linear programming model aiming for a minimum operating cost of the RMG, and its economic value is assessed from the perspective of a homeowner.…”

Section: Introductionmentioning

confidence: 99%

Distributed Optimal Coordinated Operation for Distribution System with the Integration of Residential Microgrids

Wang

Javid

et al. 2019

Applied Sciences

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With the increasing integration of rooftop photovoltaic (PV) generation and plug-in electric vehicles (EVs) into the households at user level, household consumers become prosumers. The coordination between the household prosumers and distribution network (DN) becomes essential to the energy management and optimal operation for both entities. In this paper, the residential prosumer cluster is considered as a residential microgrid (RMG) and a hierarchical DN integration method for the multi-RMGs is presented. A two-level hierarchical distributed optimization model is established based on the analytical target cascading to coordinate the RMGs and DNs. At the RMGs level, each RMG is required to individually optimize the energy consumption scheduling in every household by taking into account the effect of time-of-use electricity price on the demand response of EVs and flexible loads. At the DN level, the optimally coordinated operation problem is formulated as a relaxed optimal power flow model based on the second order cone programming by considering the power flow balance constraints. Case studies on the modified IEEE 33-bus system demonstrate the feasibility and effectiveness of the proposed method by achieving coordinated economic optimality as well as coordinated operating points for all entities.

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“…Connecting to the smart house systems of solar and wind energy systems and watersaving supply systems is a full-fledged development of the principles of green building [26][27][28][29][30][31]. For these systems, it is advisable to develop a common electric power management system, including communication with external networks, lighting control and electric heating [32][33][34][35][36][37][38][39].…”

Section: Introductionmentioning

confidence: 99%

Hardware base and experimental potential of a smart building prototype

et al. 2018

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The concept of a model of a building for laboratory interdisciplinary experimental research to systems of a smart house is offered. At the first stage, the principal provisions of the future experiment are determined, the core of the system is constructed and its functional capabilities are determined. As a result, the Arduino-based processor was adopted as the core of the system, a circuit was built that reads data from two sensors and outputs control signals. The principle of assembly of a layout is developed, allowing to expand a control kernel and to connect any number of modules a lot at home. The main modules of the smart house have been determined, which will be experimentally investigated first. These are energy management modules from solar and wind power plants and control of the entire power system of the house, a coordination module with the BIM model, a structural monitoring module, ventilation, air conditioning and water supply modules, a dynamic layout module, and an Internet module for things and object tracking.

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Implementation of a novel home energy management system (HEMS) architecture with solar photovoltaic system as supplementary source

Cited by 95 publications

References 30 publications

A Weighted-Sum PSO Algorithm for HEMS: A New Approach for the Design and Diversified Performance Analysis

A Weighted-Sum PSO Algorithm for HEMS: A New Approach for the Design and Diversified Performance Analysis

Distributed Optimal Coordinated Operation for Distribution System with the Integration of Residential Microgrids

Hardware base and experimental potential of a smart building prototype

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