Optimal participation of prosumers in energy communities through a novel stochastic-robust day-ahead scheduling model

Tostado‐Véliz, Marcos; Jordehi, Ahmad Rezaee; Icaza, Daniel; Mansouri, Seyed Amir; Jurado, Francisco

doi:10.1016/j.ijepes.2022.108854

Cited by 38 publications

(14 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For consumers to benefit financially from new opportunities, they need to have access to smart systems and to electricity and heat supply contracts based on dynamic prices linked to the market [74]. In addition to consumers adapting their consumption to price signals [75], new offtake response services are now emerging [76], where market players offer an aggregation and management service for fuel consumption, paying them compensation for flexibility [77,78]. Recently, the following trends can be observed in markets where consumers (households/small consumer market) are actively involved:…”

Section: Trends and Developments In The Small Consumer Marketmentioning

confidence: 99%

Assessment of Energy and Heat Consumption Trends and Forecasting in the Small Consumer Sector in Poland Based on Historical Data

Gajdzik,

Jaciow,

Wolniak

et al. 2023

Resources

View full text Add to dashboard Cite

The paper outlines the methodology employed for desk-based research, which involved gathering and analyzing empirical data on energy and heating consumption in the Polish small consumer sector. Secondary sources, including reports, documents, scientific publications, and public statistics, were utilized to ensure a comprehensive understanding of the subject matter. The research methodology ensured the acquisition and examination of reliable and extensive data regarding energy and heat consumption among small consumers in Poland. The study investigated consumption trends of hard coal, electricity, and natural gas in Polish households from 2006 to 2021. The findings revealed an increasing pattern in electricity and natural gas consumption, alongside a simultaneous decline in the usage of hard coal. Future consumption was estimated using trend models, and factors contributing to changes in energy consumption patterns were examined, with forecasts to 2027. To achieve decarbonization and address climate objectives, the study underscores the need to increase the proportion of renewable energy sources and boost energy efficiency. The significance of reducing household energy consumption through enhanced insulation, smart energy management systems, and low-carbon alternatives is emphasized. Additionally, the study addresses Poland’s future energy plans as a proactive step toward decarbonizing the national economy. In summary, the study furnishes valuable insights into energy consumption trends and their determinants in the Polish small consumer sector.

show abstract

Section: Trends and Developments In The Small Consumer Marketmentioning

confidence: 99%

Assessment of Energy and Heat Consumption Trends and Forecasting in the Small Consumer Sector in Poland Based on Historical Data

Gajdzik,

Jaciow,

Wolniak

et al. 2023

Resources

View full text Add to dashboard Cite

show abstract

“…An optimal transactive energy management for individual energy storage equipped buildings and without uncertainties modelling is proposed in [12]. In [12,13], the residential users cooperate with a central operator to reach a consensus on energy trading decisions. However, the privacy concerns raised in the centralized method are due to divulging users' operational parameters to the aggregator.…”

Section: Related Workmentioning

confidence: 99%

“…Detailed comparisons among the research work [9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26] reported in the literature review and this paper from various perspectives are shown in Table 1. This paper proposes a novel TE management framework for residential users and CES.…”

Section: Novelties and Contributionsmentioning

confidence: 99%

Stochastic optimal transactive energy management with cloud energy storage using artificial neural networks

Salehi,

Rastegar

2023

IET Generation Trans & Dist

View full text Add to dashboard Cite

Residential buildings may use energy storage, flexible loads, and renewable energy sources to reduce energy consumption and increase demand side flexibility. The flexibility of a single building can be coordinated with other facilities in a transactive energy (TE) market to reduce energy costs. In addition, cloud energy storage (CES) has been proposed to provide storage services for residential buildings with more economic benefits than individual energy storage units in recent years. Although the TE market and CES implementation have received much attention in previous works, a suitable structure for CES participation in TE market has not been addressed. Furthermore, previous studies ignored all or some sources of uncertainties in the TE decision making process. This paper presents a stochastic optimization model in a transactive energy framework based on a distributed optimization algorithm for peer‐to‐peer energy trading using the alternating direction method of multipliers in the presence of CES. This paper considers the uncertainties of the inflexible load demand, renewable energy generations, and market prices using an artificial neural network‐based scenario generation and reduction methodology. Numerical results show improvements toward addressing the challenges of the uncertainties while maximizing the CES's owner revenue and minimizing the customers’ costs in the proposed model.

show abstract

“…Firstly, the cooperative optimization does not satisfy all the requirements from different areas because of the internal competing interests. Reference 12 developed a novel day‐ahead scheduling model for prosumers based on a stochastic‐robust approach to solve the heterogeneity of the unknown parameters. The study in Reference 13 presented a two‐stage stochastic model for customers in terms of an energy hub of electrical and thermal energy storage systems (ESSs).…”

Section: Introductionmentioning

confidence: 99%

Unified multi‐objective optimization for regional power systems with unequal distribution of renewable energy generation and load

Zhao,

Meng,

Yang

et al. 2023

Engineering Reports

View full text Add to dashboard Cite

The optimization for large‐scale power systems with unequal renewable energy distribution is an important and urgent task to collaborate operations of the participated sub‐grids. This article proposes a novel method by utilizing the unified multi‐objective optimization (MOO) to integrate diverse strategies to a comprehensive problem. For this aim, individual optimal model is first established to describe the demands of each sub‐grid. The overall objectives are unified in terms of economy costs. This unification integrates evaluate different optimized results without loss of generality. The global objective is the weighted sum of the individual objectives with empirical coefficient. Thus, the internal coupled restrictions and influences among sub‐grids can be solved simultaneously. Finally, by adjusting the corresponding weights according to the preferred requirement, the optimized solution can effectively allocate renewable energy throughout all sub‐grids. Consequently, both individual and global requirements can be met at utmost. The proposed unified MOO is tested on the configured systems based on multiple modified PJM 9‐bus grids. Satisfying the global optimum of the multi‐region joint system, the total system cost increases by 15.1%, the industrial zone cost increases by 21.4%, and the residential load shedding loss cost increases by 27.3%. Although each region has to sacrifice some of its benefits, the compromise operational behavior ensures that the total cost is optimal. Numerical results verify the effectiveness in achieving the promising global optimal solution, and the flexibility in meeting the requirements of different sub‐grids.

show abstract

Optimal participation of prosumers in energy communities through a novel stochastic-robust day-ahead scheduling model

Cited by 38 publications

References 55 publications

Assessment of Energy and Heat Consumption Trends and Forecasting in the Small Consumer Sector in Poland Based on Historical Data

Assessment of Energy and Heat Consumption Trends and Forecasting in the Small Consumer Sector in Poland Based on Historical Data

Stochastic optimal transactive energy management with cloud energy storage using artificial neural networks

Unified multi‐objective optimization for regional power systems with unequal distribution of renewable energy generation and load

Contact Info

Product

Resources

About