Traditional power grid and its demand-side management (DSM) techniques are centralized mainly focus on industrial consumers. The ignorance of residential commercial sectors in DSM activities degrades the overall performance a conventional grid. Therefore, concept demand response (DR) via sector makes smart (SG) superior over traditional In this context, paper proposes an optimized home energy system (OHEMS) that not only facilitates integration renewable source (RES) storage (ESS) but also...

The traditional power grid is inadequate to overcome modern day challenges. As the era demands be more reliable, resilient, and cost-effective, concept of smart evolves various methods have been developed these which make superior over grid. One essential components grid, home energy management system (HEMS) enhances efficiency electricity infrastructure in a residential area. In this aspect, we propose an efficient controller (EHEMC) based on genetic harmony search algorithm (GHSA) reduce...

The climate change crisis, exacerbated by the global dependency of fossil fuels, has brought significant challenges. In medium to long term, extensive renewable-energy-based electrification is considered be one most promising development paths address these However, this tangible only if energy infrastructure can accommodate renewable sources and distributed resources, such as batteries heat pumps, without adversely affecting power grid operations. To realize goals, a new concept-the Energy...

This article surveys emerging technologies related to pervasive edge computing (PEC) for industrial internet-of-things (IIoT) enabled by fifth-generation (5G) and beyond communication networks. PEC encompasses all devices that are capable of performing computational tasks locally, including those at the core network (edge servers co-located with 5G base stations) in radio access (sensors, actuators, etc.). The main advantages this paradigm offloading (and benefits therefrom) low latency...

This article presents a new hybrid algorithm, crossover binary particle swarm optimization (crBPSO), for allocating resources in local energy systems via multi-agent (MA) technology. Initially, hierarchical MA-based architecture grid-connected setup is presented. In this architecture, task specific agents operate master-slave manner. Where, the master runs well-formulated routine aiming at minimizing costs of procurement, battery degradation, and load scheduling delay. The slaves update on...

In this paper, we compare pricing and non-pricing mechanisms for implementing demand-side management (DSM) in a neighborhood Helsinki, Finland. We load steering based on peak load-reduction using the profile method, market price signals, terms of loads, losses, device profiles. found that there are significant differences between two methods; peak-load reduction control strategies contribute to reducing power improving flow stability, while primarily prices result higher peaks increased grid...

Digitalization has led to radical changes in the distribution of goods across various sectors. The tendency is move from traditional buyer-seller markets subscriptionbased, on-demand "smart" matching platforms enabled by pervasive information and communications technologies (ICTs). driving force behind this lies fact that assets, which were scarce past, are readily abundant, approaching a regime zero marginal costs. This also becoming reality electrified energy systems because substantial...

Distributed intelligence is a well-known approach for optimizing interactions among numerous smart devices that interconnect and operate together as Internet of Things (IoT) systems. A modern form human-machine <i>collective intelligence</i> emerges when humans interact with IoT systems in sociotechnical environments such homes. Fifth-generation (5G) communication networks are designed high-speed reliable wireless connectivity expected to boost (distributed) collective by revolutionizing...

This paper proposes a cyber-physical system to manage flexible residential loads based on virtualized energy packets. Before being used, need request packets an server, which may be granted or not. If granted, the server guarantees that will fulfilled. Each different load has specific consumption profile and user requirement. In proposed case study, consumers share pool of resources allocated by whose aim is minimize imports related such group. The solution shows qualitative advantages...

The so-called Internet of Things (IoT) and advanced communication technologies have already demonstrated a great potential to manage residential energy resources via demand-side management. This work presents home management system in that focused on the reallocation problem where consumers shall shift their consumption patterns away from peak periods and/or high electricity prices. Our solution differentiates loads into two categories: (i) fixed power appliances (ii) flexible ones....

Internet of Things (IoT) and advanced communication technologies have demonstrated great potential to manage residential energy resources by enabling demand-side management (DSM). Home systems (HEMSs) can automatically control electricity production usage inside homes using DSM techniques. These HEMSs wirelessly collect information from hardware installed in the power system with objective intelligently efficiently optimizing minimizing costs.

This article presents an ER-based PEM strategy for PV integrated smart homes to jointly optimize their load scheduling delays, energy transactions cost, and battery degradation cost. The proposed approach incorporates a MA case, where, the ER acts as main selecting agent realized by all other system elements. leads combinatorial optimization problem, which can be effectively solved heuristic methods (HOMs), namely, genetic algorithm (GA), binary particle swarm (BPSO), differential evolution...

The so-called Internet of Things (IoT) and advanced communication technologies have already demonstrated a great potential to manage residential energy resources via demand-side management. This work presents home management system in that focused on the reallocation problem where consumers shall shift their consumption patterns away from peak periods and/or high electricity prices. Our solution differentiates loads into two categories: (i) fixed power appliances (ii) flexible ones....

In this paper, we investigate the management of energy storage control and load scheduling in scenarios considering a grid-connected photovoltaic (PV) system using packetized management. The aim is to reduce an average aggregated cost through proposed controller household consumption, procurement price, delays, PV self-sufficiency via generated renewable battery degradation. approach solves joint optimization problem established heuristics, namely genetic algorithm (GA), binary particle...

Internet of Things (IoT) and advanced communication technologies have demonstrated great potential to manage residential energy resources by enabling demand-side management (DSM). Home systems (HEMSs) can automatically control electricity production usage inside homes using DSM techniques. These HEMSs will wirelessly collect information from hardware installed in the power system with objective intelligently efficiently optimize minimize costs. However, be vulnerable cyberattacks that target...

In this paper, we investigate the management of energy storage control and load scheduling in scenarios considering a grid-connected photovoltaic (PV) system using packetized management. The aim is to reduce an average aggregated cost through proposed \textit{packetized controller} household consumption, procurement price, delays, PV self-sufficiency via generated renewable battery degradation. approach solves joint optimization problem established heuristics, namely genetic algorithm (GA),...