Optimization Study of Carbon Emissions in Wind Power Integrated Systems Based on Optimal Dispatch Algorithm

[1] Abid A., Malik T. N., Ashraf M. M. Combined Emission Economic Dispatch of Power System in Presence of Solar and Wind Using Flower Pollination Algorithm. Mehran Univ. Res. J. En. 2019:38(3):581–598. https://doi.org/10.22581/muet1982.1903.05 Search in Google Scholar

[2] Obaro A., et al. Energy Dispatch of Decentralized Hybrid Power System. Int. J. Renew. Energy R. 2018:8(4):2131–2145. Search in Google Scholar

[3] Zhao B. C., et al. System-level performance optimization of molten-salt packed-bed thermal energy storage for concentrating solar power. Appl. Energ. 2018:226:225–239. https://doi.org/10.1016/j.apenergy.2018.05.081 Search in Google Scholar

[4] Kim S. K., Lee K. B. Robust Offset-Free Speed Tracking Controller of Permanent Magnet Synchronous Generator for Wind Power Generation Applications. Electronics 2018:7(4):48. https://doi.org/10.3390/electronics7040048 Search in Google Scholar

[5] Hoseinzadeh B., et al. Emergency wind power plant re-dispatching against transmission system cascading failures using reverse tracking of line power flow. IET Gener. Transm. Dis. 2020:14(16):3241–3249. https://doi.org/10.1049/iet-gtd.2019.1950 Search in Google Scholar

[6] Ghaljehei M., et al. Stochastic SCUC considering compressed air energy storage and wind power generation: A techno-economic approach with static voltage stability analysis. Int. J. Elec. Power 2018:100:489–507. https://doi.org/10.1016/j.ijepes.2018.02.046 Search in Google Scholar

[7] Rao D. S. N. M., Kumar N. Optimal load dispatch solution of power system using enhanced harmony search algorithm. Eur. J. Elec. Eng. 2018:20(4):469–483. https://doi.org/10.3166/EJEE.20.469-483 Search in Google Scholar

[8] Tejaswini K. N., Rao G. K. Consensus Based Economic Dispatch including System Power Losses. Int. J. Eng. Technol. 2018:7(1):178–181. https://doi.org/10.14419/ijet.v7i1.8.11545 Search in Google Scholar

[9] Zhang J. J., et al. Parallel Dispatch: A New Paradigm of Electrical Power System Dispatch. IEEE/CAA J. Automatic. 2018:5(1):311–319. https://doi.org/10.1109/JAS.2017.7510778 Search in Google Scholar

[10] Zhang H., Shen J., Wang G. Day-ahead stochastic optimal dispatch of LCC-HVDC interconnected power system considering flexibility improvement measures of sending system. Int. J. Elec. Power 2022:138:107937. https://doi.org/10.1016/j.ijepes.2021.107937 Search in Google Scholar

[11] Yuan J., Cheng K., Qu K. Optimal dispatching of high-speed railway power system based on hybrid energy storage system. Energy Rep. 2022:8(13):433–442. https://doi.org/10.1016/j.egyr.2022.08.039 Search in Google Scholar

[12] Si Y., et al. Game Approach to HDR-TS-PV Hybrid Power System Dispatching. Appl. Sci. 2021:11(3):1–22. https://doi.org/10.3390/app11030914 Search in Google Scholar

[13] Sahoo A., et al. Chaotic Butterfly Optimization Algorithm Applied to Multi-objective Economic and Emission Dispatch in Modern Power System. Rec. Adv. Comput. Sci. Commun. 2022:15(2):170–185. https://doi.org/10.2174/2666255813999200818140528 Search in Google Scholar

[14] Dey S. K., Dash D. P., Basu M. Multi-Objective Economic Environmental Dispatch of Variable Hydro-Wind-Thermal Power System. Int. J. Appl. Metaheur. 2021:12(2):16–35. https://doi.org/10.4018/IJAMC.2021040102 Search in Google Scholar

[15] Feng J., et al. Flexible optimal scheduling of power system based on renewable energy and electric vehicles. Energy Rep. 2022:8(S1):1414–1422. https://doi.org/10.1016/j.egyr.2021.11.065 Search in Google Scholar

[16] Thorat L., Skjetne R., Osen O. L. Genset scheduling in a redundant electric power system for an offshore vessel using mixed integer linear programming. J. Offshore Mech. Arct. 2021:143(6):1–10. https://doi.org/10.1115/1.4050643 Search in Google Scholar

[17] Bhadoria A., Marwaha S. Moth flame optimizer-based solution approach for unit commitment and generation scheduling problem of electric power system. J. Comput. Des. Eng. 2020:7(5):668–683. https://doi.org/10.1093/jcde/qwaa050 Search in Google Scholar

[18] Gupta P. P., et al. Optimal electric vehicles charging scheduling for energy and reserve markets considering wind uncertainty and generator contingency. Int. J. Energ. Res. 2022:46(4):4516–4539. https://doi.org/10.1002/er.7446 Search in Google Scholar

[19] Eladl A. A., Eldesouky A. A. Optimal economic dispatch for multi heat-electric energy source power system. Int. J. Elec. Power 2019:110:21–35. https://doi.org/10.1016/j.ijepes.2019.02.040 Search in Google Scholar

[20] Athab F. A., Saeed W. Economic power dispatch for an interconnected power system based on reliability indices. Indones. J. Electr. Eng. Comput. Sci. 2020:20(2):777–787. https://doi.org/10.11591/ijeecs.v20.i2.pp777-787 Search in Google Scholar

[21] Shen N., Zhao Y., Deng R. A review of carbon trading based on an evolutionary perspective. Int. J. Clim. Chang. Str. 2020:12(5):739–756. Search in Google Scholar

[22] Lu J., Sun X. Carbon regulations, production capacity, and low-carbon technology level for new products with incomplete demand information. J. Clean. Prod. 2020:282(1):1–19. https://doi.org/10.1016/j.jclepro.2020.124551 Search in Google Scholar

[23] Chen X., Wang J., Hu D. Study on the effect of rent-seeking on carbon emission trading market performance under free carbon emission allowances. Syst. Eng.-Theor. Pract. 2018:38(1):93–101. https://doi.org/10.12011/1000-6788(2018)01-0093-09 Search in Google Scholar

[24] Rautray R., Balabantaray R. C. An evolutionary framework for multi document summarization using Cuckoo search approach: MDSCSA. Appl. Comput. Inform. 2018:14(2):134–144. https://doi.org/10.1016/j.aci.2017.05.003 Search in Google Scholar

[25] Choi J. Y., et al. Prediction of Dynamic Stability Using Mapped Chebyshev Pseudospectral Method. Int. J. Aerosp. Eng. 2018:2018(2):2508153.1–2508153.14. https://doi.org/10.1155/2018/2508153 Search in Google Scholar

[26] Ting T. O., Rao M. V. C., Loo C. K. A novel approach for unit commitment problem via an effective hybrid particle swarm optimization. IEEE T. Power Syst. 2006:21(1):411–418. https://doi.org/10.1109/TPWRS.2005.860907 Search in Google Scholar

[27] Amiri A., et al. Adaptive Shewhart Control Charts Under Fuzzy Parameters with Tuned Particle Swarm Optimization Algorithm. J. Ind. Integr. Manag. 2023:08(02):241–276. https://doi.org/10.1142/S2424862221500226 Search in Google Scholar