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References

1 
X. Xia, Aug 2010, Optimal dynamic economic dispatch of generation: A review, Electric Power Systems Research, Vol. 80, No. issue 8, pp. 975-986DOI
2 
V. Chaudhary, Sep. 2022, Renewable Energy Integrated Economic Dispatch Using Intelligent Techniques: An Overview, in Proceedings of International Conference on Communication and Computational Technologies, Vol. S. Kumar, S. Hiranwal, S. D. Purohit, and M. Prasad (eds.), Algorithms for Intelligent Systems, Springer, Singapore, No. DOI
3 
J.-B. Park, Feb 2010, An Improved Particle Swarm Optimization for Nonconvex Economic Dispatch Problems, in IEEE Transactions on Power Systems, Vol. 25, No. 1, pp. 156-166DOI
4 
Y.-G. Son, Dec 2022, Independent Power Producer Approach to Optimal Design and Operation of IES with Wind Power Plants, Energies, Vol. 16, No. 1, pp. 28DOI
5 
Ministry of Trade, Industry and Energy, Jan. 2023., 10th Basic Meeting on Electricity Supply and Demand (2022-2036)Google Search
6 
S. Surender Reddy, Dec 2015, Real-Time Economic Dispatch Considering Renewable Power Generation Variability and Uncertainty Over Scheduling Period, in IEEE Systems Journal, Vol. 9, No. 4, pp. 1440-1451DOI
7 
C. Huang, March 2016, Economic dispatch of power systems with virtual power plant based interval optimization method, in CSEE Journal of Power and Energy Systems, Vol. 2, No. 1, pp. 74-80DOI
8 
H. Zhang, D. Yue, X. Xie, Oct 2016, Robust Optimization for Dynamic Economic Dispatch Under Wind Power Uncertainty With Different Levels of Uncertainty Budget, in IEEE Access, Vol. 4, pp. 7633-7644DOI
9 
X. Fang, B. M. Hodge, F. Li, 2019, Adjustable and distributionally robust chance-constrained economic dispatch considering wind power uncertainty, Journal of Modern Power Systems and Clean Energy, Vol. 7, No. 4, pp. 658-664DOI
10 
F. Liu, Z. Bie, X. Wang, Apr 2019, Day-Ahead Dispatch of Integrated Electricity and Natural Gas System Considering Reserve Scheduling and Renewable Uncertainties, in IEEE Transactions on Sustainable Energy, Vol. 10, No. 2, pp. 646-658DOI
11 
of South Korea Government, Nov. 2022., Act on the Promotion of the Development, Use, and Diffusion of New and Renewable EnergyGoogle Search
12 
T. G. Hlalele, Feb 2020, Dynamic Economic Dispatch With Maximal Renewable Penetration Under Renewable Obligation, in IEEE Access, Vol. 8, pp. 38794-38808DOI
13 
B. Zeng, L. Zhao, 2013, Solving two-stage robust optimization problems using a column-and-constraint generation method, Operations Research Letters, Vol. 41, No. 5, pp. 457-461DOI
14 
B. Fanzeres, Sep 2020, A Column-and-Constraint Generation Algorithm to Find Nash Equilibrium in Pool-Based Electricity Markets, Electric Power Systems Research, Vol. 189, No. 106806DOI
15 
A. Flores-Quiroz, Jul 2016, A column generation approach for solving generation expansion planning problems with high renewable energy penetration, Electric Power Systems Research, Vol. 136, pp. 232-241DOI
16 
J. Yan, F. Li, Mar 2017, Novel Cost Model for Balancing Wind Power Forecasting Uncertainty, in IEEE Transactions on Energy Conversion, Vol. 32, No. 1, pp. 318-329DOI
17 
H. Saadat, 2010, Power System Analysis, Third Edition, pp. 3-50Google Search
18 
A. Buttler, Feb 2018, Current status of water electrolysis for energy storage, grid balancing and sector coupling via power- to-gas and power-to-liquids: A review, Renewable and Sustainable Energy Reviews, Vol. 82, No. part 3, pp. 2440-2454DOI
19 
J. I. San Martin, Sep 2010, Hybrid fuel cells technologies for electrical microgrids, Electric Power Systems Research, Vol. 80, No. issue 9, pp. 993-1005DOI
20 
, [Online]. Available: https://epsis.kpx.or.kr/epsisnew/selectEkma FucUpfChart.do?menuId=04