journal article·2020-01-03Open access

Special Issue on Developing and Implementing Smart Grids: Novel Technologies, Techniques and Models

Pierluigi Siano, Miadreza Shafie-khah

Applied Sciences· Volume 10· Issue 1

Abstract

Due to the rapid growth of technologies and communication systems, electricity demand must be supplied and have the highest quality and reliability [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short

Research context

OpenAlex topics: Smart Grid Energy Management · Smart Grid Security and Resilience · Microgrid Control and Optimization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Management & Innovation Systems, University of Salerno Via Giovanni Paolo II, 132, 84084 Fisciano (SA), Italy

School of Technology and Innovations, University of Vaasa, 65200 Vaasa, Finland

References (19)

Show source-provided references
1. Ning, J., Tang, Y., and Gao, B. (2017). A Time-Varying Potential-Based Demand Response Method for Mitigating the Impacts of Wind Power Forecasting Errors. Appl. Sci., 7.10.3390/app7111132 ↗
2. Liu, N., and Wang, J. (2018). Energy sharing for interconnected microgrids with a battery storage system and renewable energy sources based on the alternating direction method of multipliers. Appl. Sci., 8.10.3390/app8040590 ↗
3. Khan, S., Mehmood, K., Haider, Z., Bukhari, S., Lee, S.-J., Rafique, M., and Kim, C.-H. (2018). Energy management scheme for an EV smart charger V2G/G2V application with an EV power allocation technique and voltage regulation. Appl. Sci., 8.10.3390/app8040648 ↗
4. Yang, D., Xi, Y., and Cai, G. (2017). Day-ahead dispatch model of electro-thermal integrated energy system with power to gas function. Appl. Sci., 7.10.3390/app7121326 ↗
5. Li, D., Xu, X., Yu, D., Dong, M., and Liu, H. (2018). Rule Based Coordinated Control of Domestic Combined Micro-CHP and Energy Storage System for Optimal Daily Cost. Appl. Sci., 8.10.3390/app8010008 ↗
6. Carpinelli, G., Mottola, F., Proto, D., Russo, A., and Varilone, P. (2018). A hybrid method for optimal siting and sizing of battery energy storage systems in unbalanced low Voltage microgrids. Appl. Sci., 8.10.3390/app8030455 ↗
7. Zanabria, C., Andrén, F., Kathan, J., and Strasser, T. (2018). Rapid Prototyping of Multi-Functional Battery Energy Storage System Applications. Appl. Sci., 8.10.3390/app8081326 ↗
8. Wang, F., Zhen, Z., Wang, B., and Mi, Z. (2018). Comparative study on KNN and SVM based weather classification models for day ahead short term solar PV power forecasting. Appl. Sci., 8.10.3390/app8010028 ↗
9. Vergura, S., and Carpentieri, M. (2018). Phase Coherence Index, HHT and Wavelet Analysis to Extract Features from Active and Passive Distribution Networks. Appl. Sci., 8.10.3390/app8010071 ↗
10. Zhang, X., Yang, J., Wang, W., Jing, T., and Zhang, M. (2018). Optimal operation analysis of the distribution network comprising a micro energy grid based on an improved grey wolf optimization algorithm. Appl. Sci., 8.10.3390/app8060923 ↗
11. Tien, N., Rhee, J., and Park, S. (2018). Enhanced Effective Filtering Approach (eEFA) for Improving HSR Network Performance in Smart Grids. Appl. Sci., 8.10.3390/app8020154 ↗
12. Tang, Y., Tai, W., Liu, Z., Li, M., Wang, Q., Liang, Y., and Huang, L. (2017). A hardware-in-the-loop based co-simulation platform of cyber-physical power systems for wide area protection applications. Appl. Sci., 7.10.3390/app7121279 ↗
13. Haes Alhelou, H., Hamedani-Golshan, M.E., Njenda, T.C., and Siano, P. (2019). Wide-Area Measurement System-Based Optimal Multi-Stage Under-Frequency Load-Shedding in Interconnected Smart Power Systems Using Evolutionary Computing Techniques. Appl. Sci., 9.10.3390/app9030508 ↗
14. Wang, J., Li, P., Ran, R., Che, Y., and Zhou, Y. (2018). A short-term photovoltaic power prediction model based on the gradient boost decision tree. Appl. Sci., 8.10.3390/app8050689 ↗
15. Luy, M., Ates, V., Barisci, N., Polat, H., and Cam, E. (2018). Short-Term Fuzzy Load Forecasting Model Using Genetic–Fuzzy and Ant Colony–Fuzzy Knowledge Base Optimization. Appl. Sci., 8.10.3390/app8060864 ↗
16. Xia, S., Zhang, Q., Hussain, S.T., Hong, B., and Zou, W. (2018). Impacts of integration of wind farms on power system transient stability. Appl. Sci., 8.10.3390/app8081289 ↗
17. Effectiveness of distributed vs. concentrated volt/var local control strategies in low-voltage grids10.3390/app8081382 ↗
18. Li, Y., Li, Y., and Sun, Y. (2018). Online static security assessment of power systems based on lasso algorithm. Appl. Sci., 8.10.3390/app8091442 ↗
19. Lee, J., Lee, J., Wi, Y.-M., and Joo, S.-K. (2018). Stochastic Wind Curtailment Scheduling for Mitigation of Short-Term Variations in a Power System with High Wind Power and Electric Vehicle. Appl. Sci., 8.10.3390/app8091684 ↗