A heuristic approach to Active Demand Side Management in Off-Grid systems operated in a Smart-Grid environment

Mišák, Stanislav; Stuchly, Jindrich; Platoš, Jan; Krömer, Pavel

doi:10.1016/j.enbuild.2015.03.033

Cited by 42 publications

(15 citation statements)

References 34 publications

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“…Mišák et al [64] investigated active demand side management (ADSM) in off-grid systems, and they tested their approach on a platform developed at VSB -Technical University of Ostrava campus (Czech Republic). Based on fuzzy forecasting and multilayer neural network, the proposed ADSM algorithm increases the efficiency and reliability of the renewable energy sources with intelligent scheduling.…”

Section: A Microgridsmentioning

confidence: 99%

Smart Campuses: Extensive Review of the Last Decade of Research and Current Challenges

et al. 2021

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Novel intelligent systems to assist the energy transition and improve sustainability and people's life can be deployed at different scales, ranging from a house to an entire region. University campuses are an interesting intermediate size (big enough to matter and small enough to be tractable) for research, development, test and training on the integration of smartness at all levels, which led to the emergence of the concept of "smart campus" over the last few years. This review article proposes an extensive analysis of the scientific literature on smart campuses from the last decade (2010-2020). The 182 selected publications are distributed into seven categories of smartness: smart building, smart environment, smart mobility, smart living, smart people, smart governance and smart data. The main open questions and challenges regarding smart campuses are presented at the end of the review and deal with sustainability and energy transition, acceptability and ethics, learning models, open data policies and interoperability. The present work was carried out within the framework of the Energy Network of the Regional Leaders Summit (RLS-Energy) as part of its multilateral research efforts on smart regions.

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Section: A Microgridsmentioning

confidence: 99%

Smart Campuses: Extensive Review of the Last Decade of Research and Current Challenges

et al. 2021

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“…The Intelligent Electric Grid (IEG) operates under a specific set of requirements, those presented in [29] and [30]…”

Section: A the Prosumer Conceptmentioning

confidence: 99%

Intelligent Electric Power Management System for Economic Maximization in a Residential Prosumer Unit

et al. 2021

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The electricity demand has grown continuously in recent years, raising the necessity to expand generation sources, distribution networks, and equipment efficiency. In addition, it is necessary to attend sustainable development in a conciliated manner. Applications involving the intelligent management of the distributed networks have increased to achieve a balance between growth and sustainability. In this context, this article presents the development of an Intelligent Electric Power Management System (IEPMS) for the economic maximisation of a photovoltaic system applied to a prosumer residential unit without storage in Brazil. Using historical meteorological data and a heuristic to simulate energy use habits, the IEPMS forecasts both generation and demand in 24 hours. From the projections, an optimisation problem was built and solved using the genetic algorithm technique to find the most economical moments for driving loads. This model aims to reach the lowest daily cost of electricity, considering the return (sale) of unused energy to the power distribution company. The validation of the IEPMS considered four usage patterns, integrating 26 scenarios, those composed by the (i) flexibility; (ii) type of tariff; and (iii) hit rates provided by the climate forecasting method proposed for the system. As a result, the IEPMS savings considering the white tariff were 34.72% for one year, assuming full-time external work usage. Additionally, it was possible to identify in all scenarios that the proposed method's performance was not less than 97%, measured through the relative error among distinct hit rates of the evaluated climatic forecast.

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“…However, deployment of microgrids raises challenges regarding stability and reliability as a result of their intermittent nature and the stochastic behaviour of energy needed to power loads [13,14]. It has been reported that, when supply cannot cater for the massive increase in demand, utilities interrupt energy supply through load shedding [15]. e traditional load shedding has been a terrifying experience to customers and loss to utility and may not work efficiently in a contingency [16].…”

Section: Introductionmentioning

confidence: 99%

Demand-Side Management of Solar Microgrid Operation: Effect of Time-of-Use Pricing and Incentives

Philipo

Jande

Kivevele

2020

Journal of Renewable Energy

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Over 17% of the world’s population lack access to electricity, the majority being in rural areas of sub-Saharan Africa and South Asia. Microgrid technologies are a promising solution towards rural and remote area electrification; however, ever-increasing electricity demand remains a big challenge leading to pronounced power outages. Demand-side management is an indispensable tool towards addressing the challenges. This paper employs a mathematical model based on incentives and time-of-use rates to simulate daily power usage pattern of residential customers using data collected from an isolated village Ngurdoto solar microgrid, Arusha, Tanzania. Customer responsiveness on the increase in price was evaluated based on the concept of price elasticity of demand. Using two demand response strategies, namely, load shifting (LS) and scheduled load reduction (SLR), the results reveal that LS can achieve up to 4.87% energy-saving, 19.23% cost-saving, and about 31% and 19% peak reduction and power factor improvement, respectively. SLR method resulted in about 19% energy-saving, 49% cost-saving, and 24% power factor improvement. Thus, the results presented in this study may lead to a more efficient and stable system than the current state in developing countries’ utility.

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A heuristic approach to Active Demand Side Management in Off-Grid systems operated in a Smart-Grid environment

Cited by 42 publications

References 34 publications

Smart Campuses: Extensive Review of the Last Decade of Research and Current Challenges

Smart Campuses: Extensive Review of the Last Decade of Research and Current Challenges

Intelligent Electric Power Management System for Economic Maximization in a Residential Prosumer Unit

Demand-Side Management of Solar Microgrid Operation: Effect of Time-of-Use Pricing and Incentives

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