Research on Two-Stage Energy Storage Optimization Configurations of Rural Distributed Photovoltaic Clusters Considering the Local Consumption of New Energy DOI Creative Commons

Yang Liu,

Dawei Liu,

K. Kang

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(24), P. 6272 - 6272

Published: Dec. 12, 2024

As photovoltaic technologies are being promoted throughout the country, widespread installation of distributed systems in rural areas regions compromises safety and stability distribution network. Distributed clusters can be configured with energy storage to increase local consumption mitigate impact grid-connected modes. Against this background, paper focuses on areas, combines typical operation modes clusters, constructs two-stage optimization configuration model for clusters. Taking a Chinese village as an example, proposed is optimized improved particle swarm algorithm. Given different combinations without demand response, comparative analyses conducted economic benefits independent operators various scenarios. Simulations indicate that proportion reaches 62.64%, which 34.02% more than scenario storage. The results configuring significantly improves level. Meanwhile, implementing response achieve same effect while reducing configuration, life-cycle appreciable. simulation show participating reduce system cost by 7.15% at 60%. This research expands application channels provides references investment decisions systems.

Language: Английский

Smart home energy management using demand response with uncertainty analysis of electric vehicle in the presence of renewable energy sources DOI
Dharmaraj Kanakadhurga, Natarajan Prabaharan

Applied Energy, Journal Year: 2024, Volume and Issue: 364, P. 123062 - 123062

Published: April 4, 2024

Language: Английский

Citations

19
Empowering sea ports with renewable energy under the enabling framework of the energy communities DOI Creative Commons
Annamaria Buonomano, Giovanni Francesco Giuzio, Robert Maka

et al.

Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 314, P. 118693 - 118693

Published: July 1, 2024

Port operations, essential for global trade, are energy-intensive and heavily reliant on fossil fuels. Transitioning to renewable energy can reduce their carbon footprint enhance resilience sustainability. Renewable Energy Communities (RECs) offer a collaborative decentralized framework integrating into port facilities. However, authorities maritime stakeholders face challenges in design, implementation, particularly estimating outcomes benefits. Understanding the REC is crucial industry address current priorities. This study provides guidelines implementing single or multiple communities ports. An economic model, based EU regulations national laws, assesses viability of RECs The model considers usage various production systems, such as solar marine technologies, storage hybrid configuration estimate variable demand profiles explore integration system. numerical simulates virtual exchanges among users investigates feasibility shared projects research comprehensively analyses technological scenarios examines convenience end-user aggregations. Results indicate that increasing complementarity rational system design cover up 60 % total achieve 90 self-consumption. Incentives ensure payback period under 6 years large-scale systems between 2 4 smaller power plants, highlighting significant financial benefits voluntary members. Batteries enable higher penetration system, 15 %, with moderate impact. self-consumption scheme promising, incentives shift focus aspects increase local utilization. Policies encouraging creation ports lower life cycle costs, aggregations leading €6M costs over 20 compared community comprising all main users.

Language: Английский

Citations

19
Energy profiles and electricity flexibility potential in apartment buildings with electric vehicles – A Norwegian case study DOI Creative Commons
Åse Lekang Sørensen,

B.B. Morsund,

Inger Andresen

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: 305, P. 113878 - 113878

Published: Jan. 4, 2024

Energy flexibility in buildings has the potential to reduce grid burden of neighbourhoods, yet its practical implementation remains limited. This paper presents a data-based case study from Norway, examining electricity electric vehicles, within context apartment building loads and PV generation. The results highlight significant with EVs, where EV charging can be shifted time by means shared energy management system. profiles are presented, showing how increase average use apartments factor 1.5 power 3.5 8.6. Furthermore, demonstrates KPIs optimised affected different tariffs, generation, V2G technology, location billing meters. simulated scenarios showed maximum reduction peak 45 %, while 38 % was covered confirms that residential emerges as viable frontrunner realization end-user flexibility, paving way for effective solutions real-life applications.

Language: Английский

Citations

16
Optimizing Vehicle-to-Grid Systems: Smart Integration of Shared Autonomous and Conventional Electric Vehicles DOI

T. Krishnan,

Priya Ranjan Satpathy, Vigna K. Ramachandaramurthy

et al.

eTransportation, Journal Year: 2025, Volume and Issue: 24, P. 100401 - 100401

Published: Feb. 6, 2025

Language: Английский

Citations

1
Analysis of photovoltaic self-consumption as a function of the demand profile in detached houses DOI Creative Commons
María Teresa Miranda García-Cuevas, F.J. Sepúlveda, A. Fernández

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: 316, P. 114375 - 114375

Published: June 3, 2024

Self-consumption PV installations in the residential sector have a great potential to mitigate emissions associated with fossil fuels. However, few studies analyze influence of seasonality prosumer's consumption habits on evaluation self-consumption. Thus, this work develops detailed analysis self-consumption and self-sufficiency as function different variables, such size installation, habits, existing home, among others. In addition, sensitivity is carried out, which it studied how change hourly monthly distribution influences The results show importance considering habits. Dwellings electric heating greater increase than other dwellings, while low-consumption dwellings or seasonal does not play important role high-consumption dwellings. On hand, shown that much more significant since improvements can by 21.05 % 29.6 %, respectively.

Language: Английский

Citations

4
Cost-Optimal Bidirectional Charging in a Prosumer Household DOI

Juuso Liikkanen,

Leo Gardemeister,

Altti Meriläinen

et al.

Published: Jan. 1, 2025

This study demonstrates that the increasing number of electric vehicles (EVs) and potential these to contribute energy management as a property battery through Vehicle-to-Everything (V2X) technologies can generate profit for EV owner. The focus this is on Vehicle-toGrid (V2G) Vehicle-to-Home (V2H) applications. research aims illustrate advantages integrating V2X with solar photovoltaics (PV) private households, particularly in optimizing an bidirectional charging reduce electricity costs household. uses real-world data from Finnish household, including PV production consumption, applies optimization algorithms simulate economic gains V2X. Key findings indicate be economically beneficial, especially during periods high price fluctuations. also emphasizes importance availability maximizing benefits. concludes while offer promising opportunities cost savings, their effectiveness highly dependent market conditions specific characteristics household usage.

Language: Английский

Citations

0
Multi-criteria based multi-stage planning and management of home energy system considering V2H, H2G, H2 storage and degradation factor DOI
Surajit Sannigrahi, Sriparna Roy Ghatak, Parimal Acharjee

et al.

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 117, P. 116108 - 116108

Published: March 13, 2025

Language: Английский

Citations

0
Two-stage optimization configuration of shared energy storage for multi-distributed photovoltaic clusters in rural distribution networks considering self-consumption and self-sufficiency DOI

K. Kang,

Heping Jia, Hongxun Hui

et al.

Applied Energy, Journal Year: 2025, Volume and Issue: 394, P. 126174 - 126174

Published: May 24, 2025

Language: Английский

Citations

0
Analysis of Financial Losses and Methods of Shutdowns Prevention of Photovoltaic Installations Caused by the Power Grid Failure in Poland DOI Creative Commons
Krzysztof Hanzel

Energies, Journal Year: 2024, Volume and Issue: 17(4), P. 946 - 946

Published: Feb. 18, 2024

Shutdowns of photovoltaic installations are a problem that has been increasingly affecting private investors who have built home several to dozen kWp over the last few years. This problem, most often caused by outdated infrastructure, appears in many countries and impacts energy production. work focuses on three aspects problem. The first one answers question how shutdowns installation affect production, significant loss happens when PV inverter is not working or restart phase. second aspect proposes an original, low-cost method reduces number shutdowns. relates auto-consumption mechanism associated with domestic water heaters system for measuring voltage consumption from electrical network. solution based constant monitoring network switching dedicated algorithm. Additionally, continuous analysis also allows reporting observed irregularities electricity supplier. third final factor corresponds real impact long-term investment extension its payback period, what extent proposed shortens this period. Through detailed issue shutdowns, reduction 40%. However, due fact it discusses specific case, requires calibration adjustment process, which discussed article.

Language: Английский

Citations

3
Microgrid load forecasting and optimization for future remote island electric vehicle mass penetration: The case of Okinawa Island DOI Creative Commons
Hongjing He, Yongyi Huang, Tomonobu Senjyu

et al.

Energy Reports, Journal Year: 2024, Volume and Issue: 11, P. 5532 - 5541

Published: May 22, 2024

Electric vehicles (EV) are becoming increasingly popular, with new models that offers driving customers away from gas-powered vehicles. Given the expected growth of electric in coming years, charging a large number EVs short time frame would put burden on microgrids remote islands. In this study, assuming 500,000 main island Okinawa, we used Probability Density Function (PDF) to predict demand and Start-Of-Charge (SOC) distribution Vehicle owners various urban areas Okinawa. The Monte Carlo method (MC) was simulate electrical load required charge these vehicle. response huge grid produced by uncontrolled EVs, study proposes response-based Genetic Algorithm (GA) determine ideal for bridge gap between peaks valleys island's grid. Furthermore, achieve better optimization results, also conducted comparative four types GA, which showed succeeded reducing cost electricity 45.3% variance 29.8%. Optimized sequential will result more stable microgrid Okinawa Island lower costs.

Language: Английский

Citations

3