Abstract
The node marginal electricity price in the spot market is uncertain and volatile, so it is important to strengthen analysis of the spot market's electricity price law and identify the major factors influencing locational marginal price of unit nodes. This will help market participants understand market laws in-depth and enable them to make better market decisions. In this paper, a new node electricity price decomposition method is introduced to quantitatively analyze and study the influencing factors of locational marginal price of unit nodes. Firstly, the formula of the relationship between locational marginal price and the shadow prices of unit operating constraints and system reserve constraints is deduced considering the system reserve. Secondly, the influence of unit’s upper and lower power constraints on locational marginal price, system power price and congestion price are analyzed. An analysis tool for the formation and influencing factors of the locational marginal price is provided, and it is helpful for market participants to make a referential assessment of the impact of their own unit’s physical parameters on earnings. Finally, based on a 5-node case study, the influence of unit output and quotation on the locational marginal price and system energy price are analyzed in different case studies.
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References
Qin BY, Liu WS, Li HY, Ding T, Ma K, Liu TQ (2022) Impact of system inherent characteristics on initial-stage short-circuit current of MMC-based MTDC transmission systems. IEEE Trans Power Syst 37(5):3913–3922
Li HY, Qin BY, Jiang Y, Zhao YH, Shi W (2022) Data-driven optimal scheduling for underground space based integrated hydrogen energy system. IET Renew Power Gener 16(12):2521–2531
He YH, Zhou M, Wu ZY, Long SY, Xu J (2018) Study on operation mechanism of foreign representative balancing markets and its enlightenment for China. Power Syst. Technol. 42(11):3520–3528
Chen D, Zhong HW, **a Q (2017) Coordinated planning of generation-transmission-consumption based on total cost price. Power Syst. Technol.. 41(9):2816–2822
Qin BY, Sun HY, Ma J, Li W, Ding T, Wang ZJ, Albert YZ (2019) Robust H∞ control of doubly fed wind generator via state-dependent Riccati equation technique. IEEE Trans Power Syst 34(3):2390–2400
Qin, B.Y., Wang, W., Li, W., Li, F., Ding, T.: Multiobjective energy management of multiple pulsed loads in shipboard integrated power systems. IEEE Syst. J. Early Access Article (2022)
Liang ZF, Chen W, Zhang ZX, Ding JC (2017) Discussion on pattern and path of electricity spot market design in southern region of China. Autom. Electr. Power Syst. 41(24):22–27
Ding Q, Chang L, Tu MF (2018) Key technologies of technical support system for electricity spot market. Autom. Electr. Power Syst.. 42(23):7–14
Pan JD, **e K (2006) Optimization principle of locational marginal pricing. Autom. Electr. Power Syst. 30(22):38–42
Chen ZX, Zhang LZ, Shu J (2007) AC-DC iterative methods for calculating locational marginal price with losses. Automat. Electr. Power Syst.. 31(11):22–25
Gao YH (2008) Electrical price of congestion management in power market. Power Syst. Technol. 32(S2):223–225
Jia LY, Kim J, Thomas RJ, Tong L (2014) Impact of data quality on real-time locational marginal price. IEEE Trans Power Syst 29(2):627–636
Sensfu F, Ragwitz M, Genoese M (2008) The merit-order effect: a detailed analysis of the price effect of renewable electricity generation on spot market prices in Germany. Energy Policy 36(8):3086–3094
Zhu ZX, Zou B (2006) Statistical analysis of day-ahead prices in PJM market. Autom. Electr. Power Syst. 30(23):53–57
Conejo AJ, Castillo E, Minguez R (2005) Locational marginal price sensitivities. IEEE Trans Power Syst 20(4):2026–2033
Li C, Gong LN, Song YM, Yu J (2001) The analysis of spot prices in electricity market.". Proc. Chinese Soc. Univ. 13(6):67–70
He YB, Guo J, Shen JR, Guo CG, Zhu BQ (2017) Decentralized synergetic dispatch of interconnected power systems with risk-based locational marginal price. Power Syst. Technol. 41(8):2462–2468
Zhao JJ, Zhang Y (2008) Price spike analysis and risk prevention in electricity markets. East China Electric Power. 36(8):6–10
Acknowledgements
This work is supported by Science and Technology Project of State Grid Corporation of China (Study on a study of the renewable energy carrying capacity of receiving-end power grid considering the multi spatial-temporal distribution characteristics of renewable energy, 5100-202256018A-1-1-ZN).
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Liu, D., Li, F., Sun, K., Liang, H., Zhang, K., **ng, Y. (2023). Analysis of the Impact of Unit Output and Quotation on Locational Marginal Price of Unit Nodes. In: Gaber, H. (eds) Proceedings of the 5th International Conference on Clean Energy and Electrical Systems. CEES 2023. Lecture Notes in Electrical Engineering, vol 1058. Springer, Singapore. https://doi.org/10.1007/978-981-99-3888-9_12
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DOI: https://doi.org/10.1007/978-981-99-3888-9_12
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