A comprehensive overview on demand side energy management towards smart grids: challenges, solutions, and future direction

Bakare, Mutiu Shola; Abdulkarim, Abubakar; Zeeshan, Mohammad; Shuaibu, Aliyu Nuhu

doi:10.1186/s42162-023-00262-7

Cited by 73 publications

(13 citation statements)

References 292 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The DSM encompasses measures to enhance consumption efficiency, spanning from material improvements to RT monitoring and control. Authors in [24] offers a DSM overview, and presents challenges as well as further directions, providing an overview of this field.…”

Section: Literature Reviewmentioning

confidence: 99%

Smarter Grid in the 5G Era: Integrating the Internet of Things With a Cyber-Physical System

Saleem,

Usman,

Yaqub

et al. 2024

IEEE Access

View full text Add to dashboard Cite

The Smart Grid, a fusion of digital technologies and advanced communication methods, enables the transformation of power distribution, transmission, and generation by responding to fluctuations in electricity consumption. Conventional electrical grids often leave consumers unaware of their energy usage patterns, resulting in both energy wastage and financial loss. To enhance energy efficiency, the consumption patterns of consumers need regulation. Smart Grids efficiently employs Demand-Side Management (DSM) strategies, including peak clipping, load shifting, and consumer awareness campaigns, to optimize energy consumption and achieve energy savings. DSM's synergy with smart meters and smart energy management systems (SEMS) emerges as a powerful trio in comprehensive energy conservation and optimization. The integration of SEMS with the Internet of Things (IoT), augmented by the advancements in 5G technology, emerges as a transformative paradigm. SEMS, operating within the IoT ecosystem bolstered by 5G connectivity, facilitates the instantaneous and efficient integration of IoT in SEMS, enabling real-time data collection, in-depth analysis, and data-driven decisions for optimal energy management. This empowers users with the ability to make data-driven decisions, yielding tangible outcomes in the form of efficacy, cost reductions, and fortified sustainability initiatives. We present a SEMS that amalgamates three microcontroller units to create a smart meter that is further integrated with a cloud-based middleware module and consumer API. Furthermore, it collects vital power metrics such as voltage, current, kWh, kW, and PF. Consumers can conveniently access this data in real-time via an API. Energy service companies can leverage this data for incentive programs and to motivate customers to optimize their energy consumption. These datasets serve as a foundational element for the development of diverse DSM strategies. This research work presents the deployment, and performance evaluation of an IoT-based SEMS that is implemented in diverse settings, including industrial, commercial, building, and warehouse setups. Moreover, as a test case, our evaluation extends to the specific conservation of energy within air-conditioning systems. The SEMS achieves significant energy conservation, with calculated savings ranging from 5% to 53%, showcasing its effectiveness in targeted energy management. The real-time data and case studies further demonstrate the efficiency of the presented work.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Smarter Grid in the 5G Era: Integrating the Internet of Things With a Cyber-Physical System

Saleem,

Usman,

Yaqub

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…The price-oriented program consists of the time of use (TOU), critical peak pricing (CPP), real-time pricing (RTP), and inclined block rate (IBR), as shown in Figure 24 [95].…”

Section: Bess For Demand-side Energy Managementmentioning

confidence: 99%

“…In the CPP program, a flat pricing strategy or TOU tariff is used annually as an alternative option for small-size peak load usage periods. According to Bakare et al 2023 [95], energy users who participate…”

Section: Bess For Demand-side Energy Managementmentioning

confidence: 99%

Battery Storage Use in the Value Chain of Power Systems

Ratshitanga,

Ayeleso,

Krishnamurthy

et al. 2024

Energies

View full text Add to dashboard Cite

In recent years, energy challenges such as grid congestion and imbalances have emerged from conventional electric grids. Furthermore, the unpredictable nature of these systems poses many challenges in meeting various users’ demands. The Battery Energy Storage System is a potential key for grid instability with improved power quality. The present study investigates the global trend towards integrating battery technology as an energy storage system with renewable energy production and utility grid systems. An extensive review of battery systems such as Lithium-Ion, Lead–Acid, Zinc–Bromide, Nickel–Cadmium, Sodium–Sulphur, and the Vanadium redox flow battery is conducted. Furthermore, a comparative analysis of their working principles, control strategies, optimizations, and technical characteristics is presented. The review findings show that Lead–Acid, Lithium-Ion, Sodium-based, and flow redox batteries have seen increased breakthroughs in the energy storage market. Furthermore, the use of the BESS as an ancillary service and control technique enhances the performance of microgrids and utility grid systems. These control techniques provide potential solutions such as peak load shaving, the smoothing of photovoltaic ramp rates, voltage fluctuation reduction, a large grid, power supply backup, microgrids, renewable energy sources time shift, spinning reserve for industrial consumers, and frequency regulation. Conclusively, a cost summary of the various battery technologies is presented.

show abstract

“…For example, [7,8], [9,10] and [11] provide a detailed analysis of the methods used to control power consumption in the internal power grid. In this case, they consider different optimization criteria that can be used.…”

Section: Literature Reviewmentioning

confidence: 99%

Simulation of power consumption control of receivers at underground iron ore mining enterprises

Sinchuk,

Mykhailenko,

Kobeliatskyi

et al. 2023

AAIT

View full text Add to dashboard Cite

The article presents the results of developing a concept for controlling the process of power consumption by electrical receivers with a voltage of up to 1000 V at underground mining enterprises in the function of hourly tariffs, which are characterized by variable pricing for the day ahead in current market conditions. The following parameters are considered: limitations on operation duration of a separate electrical unit during the day, the maximum load on underground substation transformers, and the amount of power ordered by the enterprise, the excess of which leads to the application of penalties. To solve the control problem, it is proposed to apply a heuristic optimization method based on a genetic algorithm. System efficiency is studied by determining settings of the evolutionary search algorithm that would ensure the lowest cost of power purchase. In particular, the crossover function (one-point, two-point, or Laplace) and the number of elite individuals in the population are modified. The experiments are carried out on the basis of the Global Optimization Toolbox in the MATLAB software package. Simulation of system efficiency through different settings of the genetic algorithm demonstrates that the minimum power cost can be ensured by using the Laplace crossover method with 10 individuals in a population of 100, of which 10 are elite and pass to the next generation unchanged. This option allows obtaining an average of 2.62 % lower daily power cost than the other parameters studied. The proposed method of power consumption control allows us to identify the achievable potential for reducing the energy component in the final product cost of iron ore mining at underground mining enterprises. It can be recommended for practical implementation at both operating and projected enterprises

show abstract

A comprehensive overview on demand side energy management towards smart grids: challenges, solutions, and future direction

Cited by 73 publications

References 292 publications

Smarter Grid in the 5G Era: Integrating the Internet of Things With a Cyber-Physical System

Smarter Grid in the 5G Era: Integrating the Internet of Things With a Cyber-Physical System

Battery Storage Use in the Value Chain of Power Systems

Simulation of power consumption control of receivers at underground iron ore mining enterprises

Contact Info

Product

Resources

About