The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
RETRACTED ARTICLE: Multi-objective energy management in microgrids with hybrid energy sources and battery energy storage systems
Open accessAbstract
Microgrid with hybrid renewable energy sources is a promising solution where the distribution network expansion is unfeasible or not economical. Integration of renewable energy sources provides energy security, substantial cost savings and reduction in greenhouse gas emissions, enabling nation to meet emission targets. Microgrid energy management is a challenging task for microgrid operator (MGO) for optimal energy utilization in microgrid with penetration of renewable energy sources, energy storage devices and demand response. In this paper, optimal energy dispatch strategy is established for grid connected and standalone microgrids integrated with photovoltaic (PV), wind turbine (WT), fuel cell (FC), micro turbine (MT), diesel generator (DG) and battery energy storage system (ESS). Techno-economic benefits are demonstrated for the hybrid power system. So far, microgrid energy management problem has been addressed with the aim of minimizing operating cost only. However, the issues of power losses and environment i.e., emission-related objectives need to be addressed for effective energy management of microgrid system. In this paper, microgrid energy management (MGEM) is formulated as mixed-integer linear programming and a new multi-objective solution is proposed for MGEM along with demand response program. Demand response is included in the optimization problem to demonstrate it’s impact on optimal energy dispatch and techno-commercial benefits. Fuzzy interface has been developed for optimal scheduling of ESS. Simulation results are obtained for the optimal capacity of PV, WT, DG, MT, FC, converter, BES, charging/discharging scheduling, state of charge of battery, power exchange with grid, annual net present cost, cost of energy, initial cost, operational cost, fuel cost and penalty of greenhouse gases emissions. The results show that CO 2 emissions in standalone hybrid microgrid system is reduced by 51.60% compared to traditional system with grid only. Simulation results obtained with the proposed method is compared with various evolutionary algorithms to verify it’s effectiveness.
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Robust Energy Management for Microgrids With High-Penetration Renewables
Zhang, Y., Gatsis, N., & Giannakis, G. B. (2013) · IEEE Transactions on Sustainable Energy · doi:10.1109/tste.2013.2255135 · Cited by 798
Multiobjective Intelligent Energy Management for a Microgrid
Chaouachi, A., Kamel, R. M., Andoulsi, R., & Nagasaka, K. (2013) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2012.2188873 · Cited by 657
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Fuzzy Logic-Based Energy Management System Design for Residential Grid-Connected Microgrids
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Smart microgrid energy and reserve scheduling with demand response using stochastic optimization
Zakariazadeh, A., Jadid, S., & Siano, P. (2014) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2014.06.037 · Cited by 296
Stochastic Optimization of Economic Dispatch for Microgrid Based on Approximate Dynamic Programming
Shuai, H., Fang, J., Ai, X., Tang, Y., Wen, J., & He, H. (2019) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2018.2798039 · Cited by 294
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Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification
Yang, B., Wang, J., Zhang, X., Yu, T., Yao, W., Shu, H., Zeng, F., & Sun, L. (2020) · Energy Conversion and Management · doi:10.1016/j.enconman.2020.112595 · Cited by 382
Yang, B., Wang, J., Cao, P., Zhu, T., Shu, H., Chen, J., Zhang, J., & Zhu, J. (2021) · Journal of Energy Storage · doi:10.1016/j.est.2021.102572 · Cited by 152
Wali, S. B., Hannan, M. A., Reza, M. S., Ker, P. J., Begum, R. A., Rahman, M. S. A., & Mansor, M. (2021) · Journal of Energy Storage · doi:10.1016/j.est.2021.102296 · Cited by 149
Evaluating Multitimescale Response Capability of EV Aggregator Considering Users’ Willingness
Xu, X., Li, K., Wang, F., Mi, Z., Jia, Y., Wei, W., & Jing, Y. (2021) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2021.3081402 · Cited by 65
Metadata
- Authors
- Murty, V. V. S. N., & Kumar, A.
- Venue
- Protection and Control of Modern Power Systems
- Published
- 2020-01-06
- Volume
- 5
- Issue
- 1
- ISSN
- 2367-0983 (ISSN-L)
- 2367-2617
- OpenAlex
- W2999319845
- Cited by
- 268
- References
- 38
- FWCI
- 27.07
- Type
- journal article
- Language
- en
- Status
- Retracted
- Open access
- hybrid
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- Murty, V. V. S. N., & Kumar, A. (2020). RETRACTED ARTICLE: Multi-objective energy management in microgrids with hybrid energy sources and battery energy storage systems. Protection and Control of Modern Power Systems. https://doi.org/10.1186/s41601-019-0147-z
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