Demand-side management strategy in stand-alone hybrid photovoltaic systems with real-time simulation of stochastic electricity consumption behavior

Thiaux, Yaël; Dang, Thu Thuy; Schmerber, Louis; Multon, Bernard; Ahmed, Hamid Ben; Bacha, Seddik; Tran, Quoc Tuan

doi:10.1016/j.apenergy.2019.113530

Cited by 30 publications

(11 citation statements)

References 25 publications

(43 reference statements)

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“…There is a variety of algorithm approaches implemented into the load control systems to provide DSM operation. It has been admitted that the complexity of the DSM algorithms mainly depends on controllability properties of the electrical load components, electricity metering infrastructure and data communication [17][18][19][20][21][22]. While industrial consumers utilise comprehensive DSM methods to manage complicate structure load, the domestic DSM systems are relatively simple.…”

Section: Domestic Demand Side Managementmentioning

confidence: 99%

“…However, the behaviour of the model components is simulated, excluding the weather condition, which utilises historical data. Thiaux et al [20] introduced a model to investigate the demand-side management in a microgrid (20 households) equipped with solar RES, battery storage and diesel generator. This model runs simulations at a 10-minute time step and also uses historical data of the weather condition.…”

Section: High-resolution Modellingmentioning

confidence: 99%

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Domestic demand-side management: analysis of microgrid with renewable energy sources using historical load data

et al. 2021

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This paper provides a high accuracy assessment of domestic demand-side management (DSM) approach in the context of distributed renewable energy sources (RES). To determine the potential of domestic DSM for households, a microgrid model of a typical UK residential estate was developed to simulate the impact of RES. The microgrid model comprises of 15 UK households with appropriate allocation of washing machines (WM), tumble dryers (TD) and dishwashers (DW) in accordance to the statistical data. In order to obtain a high accuracy result, the power consumption of the microgrid model utilises real historical high-resolution data of household energy consumption and RES generation. Thereafter, 40% of distributed wind and solar energy are implemented in the model to produce two individual scenarios. The operation of the white appliances in the model is controlled using a domestic DSM based on a load shifting algorithm. The primary criterion of the DSM considered in this paper is the reduction of energy feedback to the grid in order to decrease the utilisation of the grid and to reduce the transmission losses. The results obtained from the model simulation are compared to the baseline model and discussed with respect to the possible benefits of implementation of domestic DSM under the impact of RES. It has been shown that the self-consumption ratio of the microgrid operating under the DSM is increased by 3% for both scenarios. The model analysis provides highly realistic results which can be used for efficiency assessment of various load shifting methods.

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Section: Domestic Demand Side Managementmentioning

confidence: 99%

Section: High-resolution Modellingmentioning

confidence: 99%

Domestic demand-side management: analysis of microgrid with renewable energy sources using historical load data

et al. 2021

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“…These customers can postpone or delay periods when they will need high energy consumption for periods in which electricity will be low cost, without risking losses or disruptions to their operations or business. This approach in the energy sector is what we call demand response or demand-side management (DSM) [55]: inter alia energy users shift their energy demand from the high-price period to the lower-price period of the day/night tariff in the frame of a constant optimization. It is obvious that not all consumers will be able to change their electricity consumption behavior.…”

Section: Energy Market Model In the European Unionmentioning

confidence: 99%

Zonal and Nodal Models of Energy Market in European Union

Borowski

2020

Energies

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Along with economic development and development of power systems, new, more effective models of the energy market are sought. Traditional zonal models used on the electricity market have proved to be poorly adapted to new circumstances and phenomena occurring in the macroeconomic environment. The main aim of the research was to show the direction (including the nodal model and prosumer behavior) in which the energy market should develop in order to meet the state-of-the-art technical, ecological and social challenges. Therefore, with the new challenges, a new chapter has opened up on very interesting research for the electrical industry. There are new solutions for the development and modernization of models from the point of view of management and econometrics of the energy market, adapted to new challenges related to ecology, technology, and competition. This article presents the zone model with its imperfections and suggestions for its improvement and proposes a nodal model that may in the near future become a new model for the functioning of the electricity market in Europe.

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“…Bottom-up models for domestic energy demand forecasting have been developed by incorporating lifestyle behaviors that largely depend on uncertain human factors into the models using a stochastic approach [26][27][28][29]. Using such household power demand models, Aryandoust and Lilliestam [26] examined how to effectively use DSM in Germany, Fischer et al [27] pointed out that a customer-specific pricing system is as desirable as possible, and Thiaux et al [28] showed that DSM can help reduce energy costs and improve solar power utilization in a microgrid. Nijhuis et al [29] set the parameters of a stochastic model that describes the lifestyle behavior of a household based on the STU.…”

Section: Literaturementioning

confidence: 99%

On the Acceptability of Electricity Demand Side Management by Time of Day

Nakano

Washizu²

2020

Energies

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Advances in the introduction of fluctuating renewable energies, such as photovoltaics (PV), have caused power-system destabilization. However, stability can be improved if consumers change the way they use power, moving to time slots when the PV output in an area is high. In large cities in developed countries, where the types of distributed energy resources are varied, demand side management (DSM) in which consumers share power supplies and adjust the demand has received considerable attention. Under effective DSM that uses the latest information and communication technology to maximize the use of renewable energy, we believe that sparing use of appliances is not the only solution to address global warming. If behavioral change shifts the use of domestic appliances from one time slot to other time slots, we do not have to abandon the use of these appliances. The aim of this study is to determine the possibility of such behavioral changes in people in order to provide basic information for operating an effective DSM. To that end, we conducted a questionnaire-based survey of 10,000 households in Japan. We investigated the proportion of people responding to a request for a demand response (DR) under the given presented reward in time slots when DSM by DR is required. We also analyzed the factors influencing people’s response to a request for a DR. Furthermore, based on the rewards likely to be achieved in the adjustable power market, we estimated how much adjustable power would be realized.

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Demand-side management strategy in stand-alone hybrid photovoltaic systems with real-time simulation of stochastic electricity consumption behavior

Cited by 30 publications

References 25 publications

Domestic demand-side management: analysis of microgrid with renewable energy sources using historical load data

Domestic demand-side management: analysis of microgrid with renewable energy sources using historical load data

Zonal and Nodal Models of Energy Market in European Union

On the Acceptability of Electricity Demand Side Management by Time of Day

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