Stochastic risk-averse coordinated scheduling of grid integrated energy storage units in transmission constrained wind-thermal systems within a conditional value-at-risk framework

Energy

Volumn 113, Issue , 2016, Pages 762-775

  Hemmati, Reza ^a   Saboori, Hedayat ^a   Saboori, Saeid ^b  

^a KERMANSHAH UNIVERSITY OF TECHNOLOGY   (Iran)

^b SAHAND UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Conditional value at risk; Energy storage system; Risk averse programming; Two stage stochastic programming; Unit commitment; Wind uncertainty management

Indexed keywords

ELECTRIC POWER TRANSMISSION; ENERGY STORAGE; HEALTH HAZARDS; INTEGER PROGRAMMING; PROBABILITY DISTRIBUTIONS; RISK ANALYSIS; RISK PERCEPTION; RISKS; SCHEDULING; STOCHASTIC MODELS; STOCHASTIC PROGRAMMING; STOCHASTIC SYSTEMS; VALUE ENGINEERING; VIRTUAL STORAGE; WIND POWER;

CONDITIONAL VALUE-AT-RISK; ENERGY STORAGE SYSTEMS; RISK AVERSE; TWO-STAGE STOCHASTIC PROGRAMMING; UNIT-COMMITMENT; WIND UNCERTAINTIES;

RISK ASSESSMENT;

ANALYTICAL FRAMEWORK; COST ANALYSIS; ENERGY EFFICIENCY; LINEAR PROGRAMING; NUMERICAL METHOD; POWER GENERATION; RISK ASSESSMENT; STOCHASTICITY; UNCERTAINTY ANALYSIS; WIND POWER;

EID: 84979545666     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2016.07.089     Document Type: Article

References (39)

1. [1] Islam, M., Mekhilef, S., Saidur, R., Progress and recent trends of wind energy technology. Renew Sustain Energy Rev 21 (2013), 456–468.
2. [2] Kaygusuz, K., Wind energy: progress and potential. Energy sources 26 (2004), 95–105.
3. [3] Hadjipaschalis, I., Poullikkas, A., Efthimiou, V., Overview of current and future energy storage technologies for electric power applications. Renew Sustain energy Rev 13 (2009), 1513–1522.
4. [4] Vazquez, S., Lukic, S.M., Galvan, E., Franquelo, L.G., Carrasco, J.M., Energy storage systems for transport and grid applications. IEEE Trans Industrial Electron 57 (2010), 3881–3895.
5. [5] Mahlia, T.M.I., Saktisahdan, T.J., Jannifar, A., Hasan, M.H., Matseelar, H.S.C., A review of available methods and development on energy storage; technology update. Renew Sustain Energy Rev 33 (2014), 532–545.
6. [6] Koohi-Kamali, S., Tyagi, V.V., Rahim, N.A., Panwar, N.L., Mokhlis, H., Emergence of energy storage technologies as the solution for reliable operation of smart power systems: a review. Renew Sustain Energy Rev 25 (2013), 135–165.
7. [7] Luo, X., Wang, J., Dooner, M., Clarke, J., Overview of current development in electrical energy storage technologies and the application potential in power system operation. Appl Energy 137 (2015), 511–536.
8. [8] Wade, N.S., Taylor, P.C., Lang, P.D., Jones, P.R., Evaluating the benefits of an electrical energy storage system in a future smart grid. Energy policy 38 (2010), 7180–7188.
9. [9] Chatzivasileiadi, A., Ampatzi, E., Knight, I., Characteristics of electrical energy storage technologies and their applications in buildings. Renew Sustain Energy Rev 25 (2013), 814–830.
10. [10] Krishnan, V., Das, T., Optimal allocation of energy storage in a co-optimized electricity market: benefits assessment and deriving indicators for economic storage ventures. Energy 81 (2015), 175–188.
11. [11] Foley, A., Lobera, I.D., Impacts of compressed air energy storage plant on an electricity market with a large renewable energy portfolio. Energy 57 (2013), 85–94.
12. [12] Saboori, H., Hemmati, H., Jirdehi, M.A., Reliability improvement in radial electrical distribution networks by optimal planning of energy storage systems. Energy 93 (2015), 2299–2312.
13. [13] Saboori, H., Hemmati, R., Abbasi, V., Multistage distribution network expansion planning considering the emerging energy storage systems. Energy Convers Manag 105 (2015), 938–945.
14. [14] Saboori, H., Abdi, H., Application of a grid scale energy storage system to reduce distribution network losses. 18th conference on electrical power distribution networks (EPDC), 2013, 1–5.
15. [15] Hemmati, R., Saboori, H., Short-term bulk energy storage system scheduling for load leveling in unit commitment: modeling, optimization, and sensitivity Analysis. J Adv Res 7:No. 3 (2016), 360–372.
16. [16] Selvaraju, R.K., Somaskandan, G., Impact of energy storage units on load frequency control of deregulated power systems. Energy 97 (2016), 214–228.
17. [17] Barzin, R., Chen, J.J., Young, B.R., Farid, M.M., Peak load shifting with energy storage and price-based control system. Energy 92 (2015), 505–514.
18. [18] Van Haaren, R., Morjaria, M., Fthenakis, V., An energy storage algorithm for ramp rate control of utility scale PV (photovoltaics) plants. Energy 91 (2015), 894–902.
19. [19] Saboori, S., Kazemzadeh, R., Saboori, H., Assessing wind energy uncertainty impact on joint energy and reserve markets by using stochastic programming evaluation metrics. Int J Renew Energy Res 5 (2015), 1241–1251.
20. [20] Hemmati, R., Saboori, H., Saboori, S., Assessing wind uncertainty impact on short term operation scheduling of coordinated energy storage systems and thermal units. Renew Energy 95 (2016), 74–84.
21. [21] Birge, J.R., Louveaux, F., Introduction to stochastic programming. 2011, Springer Science & Business Media.
22. [22] Zheng, Q.P., Wang, J., Liu, A.L., Stochastic optimization for unit commitment—A review. IEEE Trans Power Syst 30 (2015), 1913–1924.
23. [23] Pozo, D., Contreras, J., Sauma, E.E., Unit commitment with ideal and generic energy storage units. IEEE Trans Power Syst 29 (2015), 2974–2984.
24. [24] Wen, Y., Guo, C., Pandzic, H., Kirschen, D.S., Enhanced security-constrained unit commitment with emerging utility-scale energy storage. IEEE Trans Power Syst 31 (2016), 652–662.
25. [25] Li, N., Hedman, K.W., Economic assessment of energy storage in systems with high levels of renewable resources. IEEE Trans Sustain Energy 6 (2015), 1103–1111.
26. [26] Conejo, A.J., Carrión, M., Morales, J.M., Decision making under uncertainty in electricity markets. 2010, Springer.
27. [27] Krokhmal, P., Zabarankin, M., Uryasev, S., Modeling and optimization of risk. Surv Operations Res Manag Sci 16 (2011), 49–66.
28. [28] Dahlgren, R., Liu, C.C., Lawarree, J., Risk assessment in energy trading. IEEE Trans Power Syst 18 (2003), 503–511.
29. [29] Artzner, P., Delbaen, F., Eber, J.M., Heath, D., Coherent measures of risk. Math Finance 9 (1999), 203–228.
30. [30] Bouffard, F., Galiana, F.D., Stochastic security for operations planning with significant wind power generation. IEEE Trans Power Syst 23 (2008), 306–316.
31. [31] Das, T., Krishnan, V., McCalley, J.D., Assessing the benefits and economics of bulk energy storage technologies in the power grid. Appl Energy 139 (2015), 104–118.
32. [32] Ribeiro, P.F., Johnson, B.K., Crow, M.L., Arsoy, A., Liu, Y., Energy storage systems for advanced power applications. Proc IEEE 89 (2001), 1744–1756.
33. [33] Wood, A.J., Wollenberg, B.F., Power generation, operation, and control. 2012, John Wiley & Sons.
34. [34] Carrión, M., Arroyo, J.M., A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem. IEEE Trans Power Syst 21 (2006), 1371–1378.
35. [35] Brooke, A., Kendrick, D., Meeraus, A., Raman, R., America, U., The general algebraic modeling system. 1998, GAMS Development Corporation.
36. [36] Cplex, I., 11.0 User's manual. 2007, ILOG SA, Gentilly, France, 32.
37. [37] Wong, P., Albrecht, P., Allan, R., Billinton, R., Chen, Q., Fong, C., et al. The IEEE reliability test system-1996. IEEE Trans Power Syst 14 (1999), 1010–1020.
38. [38] Wan, Y.H., Wind power plant behaviors: analyses of long-term wind power data. 2004, National Renewable Energy Laboratory (NREL) Report.
39. [39] Zakeri, B., Syri, S., Electrical energy storage systems: a comparative life cycle cost analysis. Renew Sustain Energy Rev 42 (2015), 569–596.