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

Towards Financial Resilience: Smart Energy Management in Virtual Power Plants using Stochastic–Robust Optimization DOI

Yingjian Su,

Zhixin Wu, Jia Liu

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 144238 - 144238

Published: Nov. 1, 2024

Language: Английский

Citations

0

Optimal scheduling of an integrated electric-hydrogen-thermal energy system considering carbon trading and wind farm aggregation DOI
Pengyu Wei, Dongsheng Cai, Chiagoziem C. Ukwuoma

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 97, P. 1275 - 1286

Published: Dec. 5, 2024

Language: Английский

Citations

0

Modelling and operation of electrical grids considering techno-economic multi objective functions DOI Creative Commons
Amjad Ali, Harikumar Pallathadka,

Alhussein G. Alkhayer

et al.

Science and Technology for Energy Transition, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 22, 2024

Analysing the functionality of electrical systems allows for an evaluation characteristics different power sources over varying periods and enables coordination multiple units. This is crucial assessing effects uncertainty on system considering load energy generation effectiveness monitoring smart scheduling cost-effectiveness grid operation. research introduces approach simulating operation grids time scales based economic technical indices. First, a series standard source scenarios established. Subsequently, are produced to show stochastic nature renewable demand utilizing probability features uncertain data. The described in this paper shifts balance issue from yearly scale weekly daily electricity balances scales. performance simulation solution significantly enhanced by effectively coordinating periods. total coal consumption, index, abandoned energy, rate all closely monitored maintain high level accuracy reflecting system's performance.

Language: Английский

Citations

0

What Is the Optimal Solution for Scheduling Multiple Energy Systems? Overview and Analysis of Integrated Energy Co-Dispatch Models DOI Creative Commons

Xiao-Zhi Gao,

X. Han, Shiwei Xu

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(18), P. 4718 - 4718

Published: Sept. 22, 2024

With increasing dual pressure from global large energy consumption and environmental protection, multiple integrated systems (IESs) can provide more effective ways to achieve better utilization performance. However, in actual circumstances, many challenges have been brought coupling sources along with the uncertainty of each generated power efficient operation IESs. To resolve this problem, article reviews primary research on optimization scheduling technology give constructive guidance systems. Firstly, conceptual composition classification IESs are presented. Secondly, relationship between based mathematical expression is studied deeply. Thirdly, different types regions classified, analyzed, summarized for clarification. Fourthly, basis, potential solutions applications key technologies involved process be found systematically. Finally, future development trends optimize explored prospected depth.

Language: Английский

Citations

0

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

Citations

0