Optimal portfolio design of energy storage devices with financial and physical right market
Puzhe LAN, Dong HAN, Ruimin ZHANG, Xiaoyuan XU, Zheng YAN
Optimal portfolio design of energy storage devices with financial and physical right market
With the continuous development of the spot market, in the multi-stage power market environment with the day-ahead market and right market, the study associated with the portfolio of energy storage devices requires that attention should be paid to transmission congestion and power congestion. To maximize the profit of energy storage and avoid the imbalance of power supply and consumption and the risk of node price fluctuation caused by transmission congestion, this paper presents a portfolio strategy of energy storage devices with financial/physical contracts. First, the concepts of financial/physical transmission rights and financial/physical storage rights are proposed. Then, the portfolio models of financial contract and physical contract are established with the conditional value-at-risk to measure the risks. Finally, the portfolio models are verified through the test data of the Pennsylvania-New Jersey-Maryland (PJM) electric power spot market, and the comparison between the risk aversion of portfolios based on financial/physical contract with the portfolio of the market without rights. The simulation results show that the portfolio models proposed in this paper can effectively avoid the risk of market price fluctuations.
portfolio / node price fluctuation / transmission right / energy storage right / risk aversion
[1] |
Chinmoy L, Iniyan S, Goic R. Modeling wind power investments, policies and social benefits for deregulated electricity market—a review. Applied Energy, 2019, 242: 364–377
CrossRef
Google scholar
|
[2] |
Ghorani R, Fotuhi-Firuzabad M, Moeini-Aghtaie M. Main challenges of implementing penalty mechanisms in transactive electricity markets. IEEE Transactions on Power Systems, 2019, 34(5): 3954–3956
CrossRef
Google scholar
|
[3] |
Tudu B, Mandal K K, Chakraborty N. Optimal design and development of PV-wind-battery based nano-grid system: a field-on-laboratory demonstration. Frontiers in Energy, 2019, 13(2): 269–283
CrossRef
Google scholar
|
[4] |
Gupta A R, Kumar A. Reactive power deployment and cost benefit analysis in DNO operated distribution electricity markets with D-STATCOM. Frontiers in Energy, 2019, 13(1): 86–98
CrossRef
Google scholar
|
[5] |
Li P, Cai G, Zhang Y,
CrossRef
Google scholar
|
[6] |
Vespermann N, Hamacher T, Kazempour J. Access economy for storage in energy communities. IEEE Transactions on Power Systems, 2021, 36(3): 2234–2250
CrossRef
Google scholar
|
[7] |
Tenti P, Caldognetto T. A general approach to select location and ratings of energy storage systems in local area energy networks. IEEE Transactions on Industry Applications, 2019, 55(6): 6203–6210
CrossRef
Google scholar
|
[8] |
Aguado J A, Quintana V H, Madrigal M,
CrossRef
Google scholar
|
[9] |
Deng L, Li Z, Sun H,
CrossRef
Google scholar
|
[10] |
Asrari A, Ansari M, Khazaei J,
CrossRef
Google scholar
|
[11] |
Huang S, Wu Q, Shahidehpour M,
CrossRef
Google scholar
|
[12] |
Han D, Zhang C, Ping J,
CrossRef
Google scholar
|
[13] |
Weibelzahl M. Nodal, zonal, or uniform electricity pricing: how to deal with network congestion. Frontiers in Energy, 2017, 11(2): 210–232
CrossRef
Google scholar
|
[14] |
Mahesh A, Sandhu K S. A genetic algorithm based improved optimal sizing strategy for solar-wind-battery hybrid system using energy filter algorithm. Frontiers in Energy, 2020, 14(1): 139–151
CrossRef
Google scholar
|
[15] |
Sharma R, Suhag S. Feedback linearization based control for weak grid connected PV system under normal and abnormal conditions. Frontiers in Energy, 2020, 14(2): 400–409
CrossRef
Google scholar
|
[16] |
Hartwig K, Kockar I. Impact of strategic behavior and ownership of energy storage on provision of flexibility. IEEE Transactions on Sustainable Energy, 2016, 7(2): 744–754
CrossRef
Google scholar
|
[17] |
Paterakis N G, de la Nieta A A S, Bakirtzis A G,
CrossRef
Google scholar
|
[18] |
Saber H, Heidarabadi H, Moeini-Aghtaie M,
CrossRef
Google scholar
|
[19] |
Liu X, Yan Z, Wu J. Optimal coordinated operation of a multi-energy community considering interactions between energy storage and conversion devices. Applied Energy, 2019, 248: 256–273
CrossRef
Google scholar
|
[20] |
Naderi M, Hashemi F, Bekker A,
CrossRef
Google scholar
|
[21] |
Lo Prete C, Guo N, Shanbhag U V. Virtual bidding and financial transmission rights: an equilibrium model for cross-product manipulation in electricity markets. IEEE Transactions on Power Systems, 2019, 34(2): 953–967
CrossRef
Google scholar
|
[22] |
Taylor J A. Financial storage rights. IEEE Transactions on Power Systems, 2015, 30(2): 997–1005
CrossRef
Google scholar
|
[23] |
Gribik P R, Shirmohammadi D, Graves J S,
CrossRef
Google scholar
|
[24] |
Baldick R. Border flow rights and contracts for differences of differences: models for electric transmission property rights. IEEE Transactions on Power Systems, 2007, 22(4): 1495–1506
CrossRef
Google scholar
|
[25] |
Thomas D, Kazempour J, Papakonstantinou A,
CrossRef
Google scholar
|
[26] |
Budworth L, Prestwich A, Sykes-Muskett B,
CrossRef
Google scholar
|
[27] |
Leshno J D, Pradelski B S R. The importance of memory for price discovery in decentralized markets. Games and Economic Behavior, 2021, 125: 62–78
CrossRef
Google scholar
|
[28] |
Madrigal M, Flores M. Integrated software platform to teach different electricity spot market architectures. IEEE Transactions on Power Systems, 2004, 19(1): 88–95
CrossRef
Google scholar
|
[29] |
Gui Z, von Thadden E L, Zhao X. Incentive-compatibility, limited liability and costly liquidation in financial contracting. Games and Economic Behavior, 2019, 118: 412–433
CrossRef
Google scholar
|
[30] |
Hogan W W. Contract networks for electric power transmission. Journal of Regulatory Economics, 1992, 4(3): 211–242
CrossRef
Google scholar
|
[31] |
Muñoz-Álvarez D, Bitar E. Financial storage rights: definition and basic properties. In: 2014 North American Power Symposium (NAPS), Pullman, WA, USA, 2014: 1–6
|
[32] |
Quintela F R, Redondo R C, Melchor N R,
CrossRef
Google scholar
|
[33] |
Sioshansi R. Using storage-capacity rights to overcome the cost-recovery hurdle for energy storage. IEEE Transactions on Power Systems, 2017, 32(3): 2028–2040
CrossRef
Google scholar
|
[34] |
Cui S, Wang Y, Li C,
CrossRef
Google scholar
|
[35] |
Palomba G, Riccetti L. Portfolio frontiers with restrictions to tracking error volatility and value at risk. Journal of Banking & Finance, 2012, 36(9): 2604–2615
CrossRef
Google scholar
|
[36] |
Catalao J P S, Pousinho H M I, Mendes V M F. Optimal offering strategies for wind power producers considering uncertainty and risk. IEEE Systems Journal, 2012, 6(2): 270–277
CrossRef
Google scholar
|
/
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