The Intelligent Sizing Method for Renewable Energy Integrated Distribution Networks DOI Creative Commons
Zhichun Yang, Fan Yang, Yu Liu

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(22), P. 5763 - 5763

Published: Nov. 18, 2024

The selection of the optimal 35 kV network structure is crucial for modern distribution networks. To address problem balancing investment costs and reliability benefits, as well to establish target structure, firstly, cost calculated based on determined number units. Secondly, benefits are measured by combining comprehensive function user outage losses with System Average Interruption Duration Index (SAIDI). Then, a multi-objective planning model established, weighted coefficient transformation method used convert into total power supply per unit load. Finally, using influencing factors initial population setting minimum load fitness function, DE algorithm employed obtain grid under continuous density intervals. Case studies demonstrate that different densities correspond structures. For ranging from 0 30, selected structures low high follows: overhead single radial, three-section two ties, cable ring network, dual network.

Language: Английский

Techno Economic Analysis of Grid Connected Photovoltaic Systems With Battery Energy Storage: A Comprehensive Review DOI Open Access
Suman Saurabh, Adesh Kumar, Roushan Kumar

et al.

Energy Storage, Journal Year: 2025, Volume and Issue: 7(1)

Published: Jan. 6, 2025

ABSTRACT The usage of solar photovoltaic (PV) systems for power generation has significantly increased due to the global demand sustainable and clean energy sources. When combined with Battery Energy Storage Systems (BESS) grid loads, offer an efficient way optimizing use, lowering electricity expenses, improving resilience. study highlights environmental economic advantages, such as reduced carbon emissions, lower job creation, while facilitating modernization through bi‐directional flow enhanced management. findings demonstrate evolution towards a future by analyzing incorporation battery storage systems, investigating standards secure integration grid‐connected evaluating techno‐economic implications these systems. analysis, encompassing estimates payback period, return on investment, net present value, is utilized evaluate feasibility integrated system. from this research aim aid consumers, businesses, utilities, legislators in making informed decisions that optimize diminish reliance, alleviate consequences.

Language: Английский

Citations

0
Optimal configuration and economic benefit analysis of photovoltaic energy storage for enterprises DOI Creative Commons

Longjin Lv,

Yueping Yang

Intelligent Decision Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 24, 2025

The new energy system constructed by storage and photovoltaic power generation systems can effectively solve the problem of transformer overload operation in some enterprises. It reduce electricity costs achieve low-carbon emissions reduction. In this paper, we establish a nonlinear mathematical programming model to determine optimal configuration systems. fully considers following factors: initial investment cost systems, maintenance cost, government subsidies for generation, charging rules grid sales prices, connected production forecasting, load forecasting related industrial We installed capacity capacity, discharging strategy MATLAB. This optimization ensure that consumption enterprises does not exceed rated basic prices enterprises, achieving reduction efficiency increase. Finally, A typical enterprise is selected analysis. results indicate proposed only peak but also significantly return period storage.

Language: Английский

Citations

0
A Two-Layer Cooperative Optimization Approach for Coordinated Photovoltaic-Energy Storage System Sizing and Factory Energy Dispatch Under Industrial Load Profiles DOI Open Access

Xiao-Hui Wang,

Shijie Cui, Qingwei Dong

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2713 - 2713

Published: March 19, 2025

Driven by policy incentives and economic pressures, energy-intensive industries are increasingly focusing on energy cost reductions amid the rapid adoption of renewable energy. However, existing studies often isolate photovoltaic-energy storage system (PV-ESS) configurations from detailed load scheduling, limiting industrial park management. To address this, we propose a two-layer cooperative optimization approach (TLCOA). The upper layer employs genetic algorithm (GA) to optimize PV capacity sizing through natural selection crossover operations, while lower utilizes mixed integer linear programming (MILP) derive cost-minimized scheduling strategies under time-of-use tariffs. Multi-process parallel computing accelerates fitness evaluations, resolving high-dimensional data challenges. is introduced accelerate effectively addressing challenges posed data. Validated with real power market data, TLCOA demonstrated adaptation fluctuations achieving 23.68% improvement in computational efficiency, 1.73% reduction investment costs, 7.55% decrease purchase 8.79% enhancement utilization compared traditional methods. This integrated framework enables cost-effective PV-ESS deployment adaptive management facilities, offering actionable insights for integration scalable optimization.

Language: Английский

Citations

0
Microgrid power generation and storage management under economic performance and robust output targets DOI

Wencheng Fan,

Yue Liu, Mo Chen

et al.

Energy Reports, Journal Year: 2025, Volume and Issue: 13, P. 5662 - 5676

Published: May 15, 2025

Language: Английский

Citations

0
Carbon Footprint Evaluation For Electric Vehicles Considering Green Electricity Trading DOI

Guiping Qing,

Yue Xiang, Yitong Shang

et al.

Renewable Energy, Journal Year: 2024, Volume and Issue: unknown, P. 121510 - 121510

Published: Oct. 1, 2024

Language: Английский

Citations

3
The economic use of centralized photovoltaic power generation — Grid connection, hydrogen production or energy storage? DOI
Dongfang Ren,

Xiaopeng Guo

Journal of Energy Storage, Journal Year: 2024, Volume and Issue: 106, P. 114829 - 114829

Published: Dec. 6, 2024

Language: Английский

Citations

1
Optimal Investment of Distribution Energy Resources via Energy Performance Contracts: An Evolutionary Game Approach DOI
Lizhong Zhang, Yue Xiang

Renewable Energy, Journal Year: 2024, Volume and Issue: 234, P. 121241 - 121241

Published: Aug. 23, 2024

Language: Английский

Citations

1
The Intelligent Sizing Method for Renewable Energy Integrated Distribution Networks DOI Creative Commons
Zhichun Yang, Fan Yang, Yu Liu

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(22), P. 5763 - 5763

Published: Nov. 18, 2024

The selection of the optimal 35 kV network structure is crucial for modern distribution networks. To address problem balancing investment costs and reliability benefits, as well to establish target structure, firstly, cost calculated based on determined number units. Secondly, benefits are measured by combining comprehensive function user outage losses with System Average Interruption Duration Index (SAIDI). Then, a multi-objective planning model established, weighted coefficient transformation method used convert into total power supply per unit load. Finally, using influencing factors initial population setting minimum load fitness function, DE algorithm employed obtain grid under continuous density intervals. Case studies demonstrate that different densities correspond structures. For ranging from 0 30, selected structures low high follows: overhead single radial, three-section two ties, cable ring network, dual network.

Language: Английский

Citations

0