A MILP model for optimising multi-service portfolios of distributed energy storage

Applied Energy

Volumn 137, Issue , 2015, Pages 554-566

  Moreno, Rodrigo ^a,b   Moreira, Roberto ^b   Strbac, Goran ^b  

^a UNIVERSITY OF CHILE   (Chile)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Active and reactive power control; Commercial strategies; Distributed energy storage; Energy and reserve services; Multi service co optimisation; Power system economics

Indexed keywords

COMMERCE; COSTS; ECONOMICS; ELECTRIC ENERGY STORAGE; ELECTRIC UTILITIES; INTEGER PROGRAMMING; INVESTMENTS; POWER CONTROL; PROFITABILITY; REACTIVE POWER; STORAGE MANAGEMENT;

ACTIVE AND REACTIVE POWER CONTROLS; COMMERCIAL STRATEGIES; DISTRIBUTED ENERGY STORAGES; ENERGY AND RESERVE SERVICES; OPTIMISATIONS; POWER SYSTEM ECONOMICS;

DISTRIBUTED COMPUTER SYSTEMS;

ELECTRICITY INDUSTRY; ELECTRICITY SUPPLY; ELECTRIFICATION; ENERGY CONSERVATION; HEATING; LINEAR PROGRAMING; NUMERICAL MODEL;

UNITED KINGDOM;

EID: 84912074331     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2014.08.080     Document Type: Article

References (24)

1. Sioshansi R., Denholm P., Jenkin T., Weiss J. Estimating the value of electricity storage in PJM: arbitrage and some welfare effects. J Energy Econom 2009, 31:269-277.
2. Bradbury K., Pratson L., Patiño-Echeverri D. Economic viability of energy storage systems based on price arbitrage potential in real-time U.S. electricity markets. J Appl Energy 2014, 114:512-519.
3. Lund H., Salgi G., Elmegaard B., Andersen A.N. Optimal operation strategies of compressed air energy storage (CAES) on electricity spot markets with fluctuating prices. J Appl Therm Eng 2009, 29:799-806.
4. Bathurst G.N., Strbac G. Value of combining energy storage and wind in short-term energy and balancing markets. J Electr Power Syst Res 2003, 67:1-8.
5. Sigrist L., Lobato E., Rouco L. Energy storage systems providing primary reserve and peak shaving in small isolated power systems: an economic assessment. J Electr Power Energy Syst 2013, 53:675-683.
6. Black M., Strbac G. Value of bulk energy storage for managing wind power fluctuations. J IEEE Trans Energy Conver 2007, 22:197-205.
7. Stanojevic V, Silva V, Pudjianto D, Strbac G, Lang P, MacLeman D. Application of storage and Demand Side Management to optimise existing network capacity. In: 20th International conference and exhibition on electricity distribution - part 1 (CIRED), Prague, Czech Republic; 8-11 June 2009.
8. EPRI. EPRI-DOE Handbook of Energy Storage for Transmission & Distribution Applications; December 2003. <> [accessed 25.02.14]. http://www.epri.com/abstracts/Pages/ProductAbstract.aspx?ProductId=000000000001001834.
9. Mohd A, Ortjohann A, Schmelter A, Hamsic N, Morton D. Challenges in integrating distributed energy storage systems into future smart grid. In: IEEE international symposium on industrial electronics (ISIE), Cambridge, United Kingdom; 30 June-2 July 2008.
10. Sandia National Laboratories. Energy storage for the electricity grid: benefits and market potential assessment guide; February 2010. <> [accessed 25.02.14]. http://www.sandia.gov/ess/publications/pubslist_06.html.
11. Dutrieux H, Delille G, Malarange G, Francois B. An energy supervision for distributed storage systems to optimize the provision of multiple services. In: IEEE Grenoble PowerTech (POWERTECH), Grenoble, France; 16-20 June 2013.
12. Hawkes A.D., Leach M.A. Modelling high level system design and unit commitment for a microgrid. J Appl Energy 2009, 86:1253-1265.
13. Stadler M., Kloess M., Groissböck M., Cardoso G., Sharma R., Bozchalui M.C., et al. Electric storage in California's commercial buildings. J Appl Energy 2013, 104:711-722.
14. Jung J., Cho Y., Cheng D., Onen A., Arghandeh R., Dilek M., et al. Monte Carlo analysis of plug-in hybrid vehicles and distributed energy resource growth with residential energy storage in Michigan. J Appl Energy 2013, 108:218-235.
15. Ho W.S., Hashim H., Hassim M.H., Muis Z.A., Shamsuddin N.L.M. Design of distributed energy system through electric system cascade analysis (ESCA). J Appl Energy 2012, 99:309-315.
16. He X., Delarue E., D'Haeseleer W., Glachant J.-M. A novel business model for aggregating the values of electricity storage. J Energy Policy 2011, 39:1575-1585.
17. Strbac G, Aunedi M, Pudjianto D, Djapic P, Teng F, Sturt A et al. Strategic assessment of the role and value of energy storage systems in the UK low carbon energy future; June 2012. <> [accessed 24.02.14]. http://www.carbontrust.com/resources/reports/technology/energy-storage-systems-strategic-assessment-role-and-value.
18. Strbac G, Black M. Future value of storage in the UK; May 2004. <> [accessed 25.02.14]. http://www.sedg.ac.uk.
19. Graves F., Jenkin T., Murphy D. Opportunities for electricity storage in deregulating markets. Electricity J 1999, 12:46-56.
20. Pudjianto D., Aunedi M., Djapic P., Strbac G. Whole-systems assessment of the value of energy storage in low-carbon electricity systems. J IEEE Trans Smart Grid 2014, 5:1098-1109.
21. Denholm P., Sioshansi R. The value of compressed air energy storage with wind in transmission-constrained electric power systems. J Energy Policy 2009, 37:3149-3158.
22. FICO Xpress. <> [accessed 24.02.14]. http://optimization.fico.com.
23. Wong S., Fuller J.D. Pricing energy and reserves using stochastic optimization in an alternative electricity market. J IEEE Trans Power Syst 2007, 22:631-638.
24. Hogan W. Allocating cost roughly commensurate with multiple transmission benefits. In: International experience in transmission planning and delivery workshop, London, United Kingdom; 11-12 January 2013. <> [accessed 24.02.14]. https://www.ofgem.gov.uk/publications-and-updates/second-imperial-workshop-agenda-11-and-12-jan-2013-international-experiences.