AI Chat Paper
Discover the SciOpen Platform and Achieve Your Research Goals with Ease.
Search articles, authors, keywords, DOl and etc.
{{expandStatus?'Exit ':''}}Advanced Search
High penetration level of renewable energy has brought great challenges to operation of power systems, and use of flexible resources (FRs) is becoming increasingly important. Flexibility of power systems can be improved by changing generation arrangements, but the interests of some market participants may be harmed in the process. This study proposes a stochastic economic dispatch model with trading of flexible ramping products (FRPs). To calculate changes in revenue and reasonably compensate units that provide FRs, multisegmented marginal bidding for energy is simulated by linearizing generation cost, and an optimal market clearing strategy for FRPs is developed according to changes in clearing energy and marginal clearing price. Then, the correlation between prediction errors of wind speeds among different wind farms is determined based on a joint distribution function modeled by the copula function, and quasi-Monte Carlo simulation (QMC) is used to generate wind power scenarios. Finally, numerical simulations of modified IEEE-30 and IEEE-118 bus systems is performed with minimum comprehensive cost as the objective function. This verifies the proposed model could effectively deal with wind variability and uncertainty, stabilize the marginal clearing price of the electricity market, and ensure fairness in the market.
Z. J. Lin, H. Y. Chen, Q. H. Wu, W. W. Li, M. S. Li, and T. Y. Ji, “Mean-tracking model based stochastic economic dispatch for power systems with high penetration of wind power,” Energy, vol. 193, pp. 116826, Feb. 2020.
Z. J. Lin, H. Y. Chen, Q. H. Wu, J. P. Huang, M. S. Li, and T. Y. Ji, “A data-adaptive robust unit commitment model considering high penetration of wind power generation and its enhanced uncertainty set,” International Journal of Electrical Power & Energy Systems, vol. 129, pp. 106797, Jul. 2021.
J. Bian, H. Wang, L. M. Wang, G. Q. Li, and Z. H. Wang, “Probabilistic optimal power flow of an AC/DC system with a multiport current flow controller,” CSEE Journal of Power and Energy Systems, vol. 7, no. 4, pp. 744-752, Jul. 2021.
M. Khoshjahan, P. Dehghanian, M. Moeini-Aghtaie, and M. Fotuhi-Firuzabad, “Harnessing ramp capability of spinning reserve services for enhanced power grid flexibility,” IEEE Transactions on Industry Applications, vol. 55, no. 6, pp. 7103-7112, Nov./Dec. 2019.
M. Khoshjahan, M. Fotuhi-Firuzabad, M. Moeini-Aghtaie, and P. Dehghanian, “Enhancing electricity market flexibility by deploying ancillary services for flexible ramping product procurement,” Electric Power Systems Research, vol. 191, pp. 106878, Feb. 2021.
E. Nadermahmoudi, T. Amraee, and S. S. Oskouee, “Stochastic very short-term economic dispatch for wind power operation using flexible ramp reserve,” International Transactions on Electrical Energy Systems, vol. 30, no. 8, pp. e12454, Aug. 2020.
S. Naghdalian, T. Amraee, S. Kamali, and F. Capitanescu, “Stochastic network-constrained unit commitment to determine flexible ramp reserve for handling wind power and demand uncertainties,” IEEE Transactions on Industrial Informatics, vol. 16, no. 7, pp. 4580-4591, Jul. 2020.
B. B. Wang and B. F. Hobbs, “Real-time markets for Flexiramp: A stochastic unit commitment-based analysis,” IEEE Transactions on Power Systems, vol. 31, no. 2, pp. 846-860, Mar. 2016.
M. Khoshjahan, M. Moeini-Aghtaie, M. Fotuhi-Firuzabad, P. Dehghanian, and H. Mazaheri, “Advanced bidding strategy for participation of energy storage systems in joint energy and flexible ramping product market,” IET Generation, Transmission & Distribution, vol. 14, no. 22, pp. 5202-5210, Nov. 2020.
J. H. Hu, M. R. Sarker, J. H. Wang, F. S. Wen, and W. J. Liu, “Provision of flexible ramping product by battery energy storage in day-ahead energy and reserve markets,” IET Generation, Transmission & Distribution, vol. 12, no. 10, pp. 2256-2264, May 2018.
J. X. Wang, H. W. Zhong, W. Y. Tang, R. Rajagopal, Q. Xia, C. Q. Kang, and Y. Wang, “Optimal bidding strategy for microgrids in joint energy and ancillary service markets considering flexible ramping products,” Applied Energy, vol. 205, pp. 294-303, Nov. 2017.
R. Z. Chen, J. H. Wang, A. Botterud, and H. B. Sun, “Wind power providing flexible ramp product,” IEEE Transactions on Power Systems, vol. 32, no. 3, pp. 2049-2061, May 2017.
M. J. Cui, J. Zhang, H. Y. Wu, and B. M. Hodge, “Wind-friendly flexible ramping product design in multi-timescale power system operations,” IEEE Transactions on Sustainable Energy, vol. 8, no. 3, pp. 1064-1075, Jul. 2017.
J. B. Cardell and C. L. Anderson, “A flexible dispatch margin for wind integration,” IEEE Transactions on Power Systems, vol. 30, no. 3, pp. 1501-1510, May 2015.
M. J. Cui and J. Zhang, “Estimating ramping requirements with solar-friendly flexible ramping product in multi-timescale power system operations,” Applied Energy, vol. 225, pp. 27-41, Sep. 2018.
S. A. Janko, M. R. Arnold, and N. G. Johnson, “Implications of high-penetration renewables for ratepayers and utilities in the residential solar photovoltaic (PV) market,” Applied Energy, vol. 180, pp. 37-51, Oct. 2016.
G. F. Li, Z. H. Bie, Y. Kou, J. F. Jiang, and M. Bettinelli, “Reliability evaluation of integrated energy systems based on smart agent communication,” Applied Energy, vol. 167, pp. 397-406, Apr. 2016.
D. M. Zhang, Y. Hu, and Y. K. Gao, “Flexibility improvement of CHP unit for wind power accommodation,” Journal of Modern Power Systems and Clean Energy, vol. 10, no. 3, pp. 731-742, May 2022.
I. Mamounakis, N. Efthymiopoulos, D. J. Vergados, G. Tsaousoglou, P. Makris, and E. M. Varvarigos, “A pricing scheme for electric utility's participation in day-ahead and real-time flexibility energy markets,” Journal of Modern Power Systems and Clean Energy, vol. 7, no. 5, pp. 1294-1306, Jun. 2019.
X. Zhang, J. F. Hu, H. Z. Wang, G. B. Wang, K. W. Chan, and J. Qiu, “Electric vehicle participated electricity market model considering flexible ramping product provisions,” IEEE Transactions on Industry Applications, vol. 56, no. 5, pp. 5868-5879, Sept./Oct. 2020.
X. P. Zhang, L. Che, M. Shahidehpour, A. Alabdulwahab, and A. Abusorrah, “Electricity-natural gas operation planning with hourly demand response for deployment of flexible ramp,” IEEE Transactions on Sustainable Energy, vol. 7, no. 3, pp. 996-1004, Jul. 2016.
H. Y. Wu, M. Shahidehpour, A. Alabdulwahab, and A. Abusorrah, “Thermal generation flexibility with ramping costs and hourly demand response in stochastic security-constrained scheduling of variable energy sources,” IEEE Transactions on Power Systems, vol. 30, no. 6, pp. 2955-2964, Nov. 2015.
J. Y. Zhao, T. X. Zheng, and E. Litvinov, “A unified framework for defining and measuring flexibility in power system,” IEEE Transactions on Power Systems, vol. 31, no. 1, pp. 339-347, Jan. 2016.
M. Carrión and J. M. Arroyo, “A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem,” IEEE Transactions on Power Systems, vol. 21, no. 3, pp. 1371-1378, Aug. 2006.
Z. Lin, H. Chen, J. Chen, J. Huang and M. Li, “Risk-averse Robust Interval Economic Dispatch for Power Systems with Large-scale Wind Power Integration,” CSEE Journal of Power and Energy Systems, vol. 10, no. 1, pp. 105-116, Jan. 2024.
Y. Lin, T. Ji, Y. Jiang and Q. H. Wu, “Stochastic Economic Dispatch Considering the Dependence of Multiple Wind Farms Using Multivariate Gaussian Kernel Copula,” CSEE Journal of Power and Energy Systems, vol. 8, no. 5, pp. 1352-1362, Sep. 2022.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
京公网安备11010802044758号