A Review on Peak Load Shaving in Microgrid—Potential Benefits, Challenges, and Future Trend

Rana, Masud; Atef, Mohamed; Sarkar, Md Rasel; Uddin, Moslem; Shafiullah, GM

doi:10.3390/en15062278

Cited by 30 publications

(18 citation statements)

References 114 publications

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“…Energy peak demands are a major hindrance to achieving costeffective energy production (Rana et al, 2022). The surge of smart meters and smart grids offer an unprecedented potential for controlling/nudging energy consumption to effectively flatten the collective demand; otherwise referred to as peak shaving.…”

Section: Digital Twin For Residential Energy Demand Controlmentioning

confidence: 99%

IoT and machine learning for enabling sustainable development goals

Jaber

2023

Front. Comms. Net.

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The United Nations drafted an agenda for 2030 to achieve sustainable development with 17 well-defined goals which are an urgent call for action requiring collaboration and innovation across countries and organisations. The year 2023 marks the midpoint toward fulfilling the proposed agenda but the world is still behind in attaining any of the set goals. This article discusses the opportunities offered by the rise of the Internet of Things and advances in artificial intelligence in ushering these goals with tangible use cases that relate to health, energy, and cities. Moreover, the article exposes the challenges that emerge from applying these technologies in the realisation of sustainable development goals (SDG) with underlined risks related to bias, security, data privacy, and the multi-objective optimisation of often competing SDGs.

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Section: Digital Twin For Residential Energy Demand Controlmentioning

confidence: 99%

IoT and machine learning for enabling sustainable development goals

Jaber

2023

Front. Comms. Net.

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“…Furthermore, global risks have led to price increases and even restrictions on the use of gas, which means that it cannot be used or is too expensive to be used in thermal power stations [5]. The global trend, driven by various governments [6,7,8], is towards a reduction in peak electricity demand due to technical, economic, and environmental benefits [9]. In this context, demand side flexibility (DSF) plays a crucial role in balancing consumption and generation in order to achieve grid quality in accordance with the most stringent standards.…”

Section: Introductionmentioning

confidence: 99%

Design and implementation of multiprotocol framework for residential prosumer incorporation in flexibility markets

et al. 2023

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“…The special-purpose loads have unique consumption patterns and operation trends. Often, a heavy load is consumed for a very small period which significantly reduces the load factor [1,2]. On the other hand, to cater to the peak demand, system sizing increases significantly which increases the overall project cost [2].…”

Section: Introductionmentioning

confidence: 99%

“…Often, a heavy load is consumed for a very small period which significantly reduces the load factor [1,2]. On the other hand, to cater to the peak demand, system sizing increases significantly which increases the overall project cost [2]. To reduce the peak demand, scheduling can increase the load factor and reduce the overall system sizing that eventually reducing the project cost [1,2].…”

Section: Introductionmentioning

confidence: 99%

Load Management and Optimal Sizing of Special-Purpose Microgrids Using Two Stage PSO-Fuzzy Based Hybrid Approach

et al. 2022

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The sizing of microgrids depends on the type of load and its operational hours. The significance of understanding the load operational characteristics in special purpose islanded microgrids is much needed for economic system sizing. The load operation of special-purpose microgrids often consumes high power for a short duration and remains idle most of the time, thus reducing the load factor. The inclusion of such loads in microgrid sizing causes huge capital costs making islanded microgrids an unfeasible solution. The islanded microgrid under study is an agricultural microgrid in a village having a small Crab Processing Plant (CPP) and a Domestic Sector (DS). The CPP constitutes the major power consumption. The community has a unique load consumption trend that is dependent on the highly uncertain parameter of availability of the crabs. Interestingly, crab availability is an independent parameter and cannot be accurately scheduled. The existing system sizing of the microgrid is performed based on the conventional methods that consider the CPP for full-day operation. However, the microgrid sources, especially the storage system may be reflected as oversized if the crab processing plants do not operate for several days due to the uncertain behavior of CPP causing enormous power wastage. In this paper, an integrated fixed and operational mode strategy for uncertain heavy loads is formulated. The proposed algorithm is based on the optimal sizing methodology aided by the load scheduling control strategy. The Particle Swarm Optimization technique is used for the optimal sizing integrated with the fuzzy logic controller to manage the available load. The membership functions are available excess power and the state of the charge of storage that defines the operational conditions for CPP. Based on input membership functions, the fuzzy controller decides on power dispatch in DS or CPP, keeping considerable SoC available for night hours. The simulation result shows that the time-dependent fuzzy controller approach manages to provide power to both sectors under optimal sizing while reducing the overall cost by 24% less than the existing microgrid.

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A Review on Peak Load Shaving in Microgrid—Potential Benefits, Challenges, and Future Trend

Cited by 30 publications

References 114 publications

IoT and machine learning for enabling sustainable development goals

IoT and machine learning for enabling sustainable development goals

Design and implementation of multiprotocol framework for residential prosumer incorporation in flexibility markets

Load Management and Optimal Sizing of Special-Purpose Microgrids Using Two Stage PSO-Fuzzy Based Hybrid Approach

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