A multi-objective fuzzy robust optimization approach for designing sustainable and reliable power systems under uncertainty

Tsao, Yu‐Chung; Thanh, Vo-Van

doi:10.1016/j.asoc.2020.106317

Cited by 39 publications

(22 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In conclusion, the restrictive measures imposed by the COVID 19 pandemic have led to a reduction in energy consumption, regardless of its source of production, not only that produced from renewable resources [15][16][17]. This paper proves that the various restrictive strategies led to a reduction in sustainable demand for renewable energy and a drop in economic growth, slowing the growth of COVID-19 infections in 2020.…”

Section: Discussionmentioning

confidence: 64%

“…Results show that older people will opt for the data-based strategy with less probability compared to younger adults. Still, only those who use a data-based strategy demonstrate the framing effect's presence, which suggests that the framing effect may be more associated with decision-making [16,17].…”

Section: Methodsmentioning

confidence: 97%

“…Regarding the possible impact on the general population in China, a survey of 1210 people revealed that out of the 53.8% who rated the psychological impact of the situation, 16.5% reported depressive symptoms, 28.8% reported moderate to severe anxiety symptoms and 8.1% reported stress levels between moderate and severe [8][9][10][11][12][13][14][15][16][17][18]. It is also indicated that the framing effect includes numerous effects on sustainability, and various perceptual and cognitive processes can be used [9][10][11].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Any change in energy prices caused by economic growth fluctuations complicates the choice of an optimal sustainable transit strategy [16]. In addition, the principle of returning to the mean (mean reversal), applicable over a long-term time interval, can lead to errors when choosing the time for a transaction with various financial assets [17].…”

Section: Literature Reviewmentioning

confidence: 99%

See 3 more Smart Citations

Renewable Energy Deployment and COVID-19 Measures for Sustainable Development

Bhuiyan

Mikhaylov

et al. 2021

Sustainability

View full text Add to dashboard Cite

The main goal of this study is to evaluate the impact of restrictive measures introduced in connection with COVID-19 on consumption in renewable energy markets. The study will be based on the hypothesis that similar changes in human behavior can be expected in the future with the further spread of COVID-19 and/or the introduction of additional quarantine measures around the world. The analysis also yielded additional results. The strongest reductions in energy generation occurred in countries with a high percentage (more than 80%) of urban population (Brazil, USA, the United Kingdom and Germany). This study uses two models created with the Keras Long Short-Term Memory (Keras LSTM) Model, and 76 and 10 parameters are involved. This article suggests that various restrictive strategies reduced the sustainable demand for renewable energy and led to a drop in economic growth, slowing the growth of COVID-19 infections in 2020. It is unknown to what extent the observed slowdown in the spread from March 2020 to September 2020 due to the policy’s impact and not the interaction between the virus and the external environment. All renewable energy producers decreased the volume of renewable energy market supply in 2020 (except China).

show abstract

Section: Discussionmentioning

confidence: 64%

Section: Methodsmentioning

confidence: 97%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Renewable Energy Deployment and COVID-19 Measures for Sustainable Development

Bhuiyan

Mikhaylov

et al. 2021

Sustainability

View full text Add to dashboard Cite

show abstract

“…The objective function consists of energy loss, cost, and energy not supplied (ENS). The reliability and sustainability of power system under uncertain condition is designed by proposing multi objective fuzzy robust optimization approach 38 …”

Section: Introductionmentioning

confidence: 99%

Congestion management of integrated transmission and distribution network with RES and ESS under stressed condition

Prajapati

Mahajan

Padhy

2021

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary In this article, the multi‐objective optimization‐based congestion management approach for integrated transmission and distribution system under stressed condition is presented. The congestion is managed by optimized charging and discharging of energy storage systems (ESSs). The coordination among transmission system operator (TSO) and distribution system operator (DSO) takes place for the economic and optimum exchange of power. The main intent of this study is to minimize the amount of load shedding (MW) and its cost ($/MWh) by minimizing the generation cost ($/MWh). These are conflicting objectives as for less load shedding, the system has to have more generation and hence higher cost. The negotiable solution among conflicting objectives is obtained by using the fuzzy min‐max approach. The ESS charging and discharging are optimized for their maximum contribution. This increases the available power (MW), thereby reducing the uncertainty of renewable energy sources and hence lesser load shedding. The analysis is conducted for constant load modeling (CLM) and voltage‐dependent load modeling. The results show that CLM has less load shedding. The proposed approach is implemented on a modified IEEE‐30‐bus test system integrated with the nine‐bus distribution network. Simulations and validations are done using General Algebraic Modeling Solver.

show abstract