Abstract
Storage systems can be deployed on varying scales by different stakeholders. The stakeholders in grid-tied scenarios include residential, industrial or commercial consumers, distribution network operators, or transmission system network operators. For the purposes of this study, the distribution network operator has been selected as the primary beneficiary of the storage system. This study examines the economic benefits of investing in storage systems for distribution network operators. The consideration for time-of-use (ToU) rates, as they influence the operation of the storage system and in turn, the profit obtainable from a storage-in-distribution-network system, is considered. The economic analysis of the payback period for the investment in storage systems when the storage system provides energy arbitrage services only has been analysed under the ToU tariff schemes. For the distribution network operator owning a storage system, the payback period, when storage systems are incorporated into the network, ranges from 83 to 5 years when there is an increase in variation of consumer tariffs from 1 to 10% of the present electricity costs. Sensitivity analysis for other storage technology options is also considered and presented.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Brandon NP, Edge JS, Aunedi M, Barbour ER, Bruce PG, Chakrabarti BK, Esterle T et al (n.d.) UK research needs in grid scale energy storage technologies. http://energysuperstore.org/wp-content/uploads/2016/04/IMPJ4129_White_Paper_UK-Research-Needs-in-Grid-Scale-Energy-Storage-Technologies_WEB.pdf
Lorente JL, Liu XA Best R, Morrow DJ (2018) Energy storage allocation in power networks—a state-of-the-art review. In: Proceedings of 2018 53rd International University Power Engineering Conference UPEC 2018, pp 1–6
Wong LA, Ramachandaramurthy VK, Taylor P, Ekanayake JB, Walker SL, Padmanaban S (2019) Review on the optimal placement, sizing and control of an energy storage system in the distribution network. J Energy Stor 21:489–504
Gbadegesin AO, Sun Y, Nwulu NI (2019) Techno-economic analysis of storage degradation effect on levelised cost of hybrid energy storage systems. Sustain Energy Technol Assess 36:100
Das CK, Bass O, Kothapalli G et al (2018) Overview of energy storage systems in distribution networks: placement, sizing, operation, and power quality. Renew Sustain Energy Rev 91:1205–1230
Bozchalui MC, Sharma R (2014) Operation strategies for energy storage systems in distribution networks. In: IEEE Power and Energy Society General Meeting, vol 2014
Saboori H, Hemmati R (2017) Maximizing DISCO profit in active distribution networks by optimal planning of energy storage systems and distributed generators. Renew Sustain Energy Rev 71:365–372
Hartmann B, Vokony I, Sorés P, Táczi I (2019) Service aspect assessment of energy storage under the ownership of distribution system operators. J Energy Storage (25)
Gbadamosi SL, Nwulu NI, Sun Y (2018) Multi-objective optimization for composite generation and transmission expansion planning considering offshore wind power and feed in tariffs. IET Renew Power Gen 12(14):1687–1697
Chen C, Que B, Zhou Z et al (2018) Cost-benefit analysis of distributed energy storage in distribution grids with renewables. In: 2018 international conference on power system technology: powercon 2018
Konstantelos IG, Strbac G (2018) Capacity value of energy storage in distribution networks. J. Energy Storage 18:389–401
‘APPENDIX 1 IEEE 5-BUS SYSTEM DATA’. [Online]. Available https://shodhganga.inflibnet.ac.in/bitstream/10603/26549/14/14_appendix.pdf
Eskom, ‘Eskom Homeflex’. Available at http://www.eskom.co.za/ CustomerCare/TariffsAndCharges/Documents/Eskom%20Booklet.pdf
Paudyal S, Cañizares CA, Bhattacharya K (2015) Optimal operation of industrial energy hubs in smart grids. IEEE Trans Smart Grid 6(2):684–694
CityPower, ‘Schedule of Approved Electricity Tariffs for FY2019/20’. [Online]. Available: https://www.citypower.co.za/ReportsandDocuments/ScheduleofApprovedTariffs.1920.pdf
Fong G, Moreira R, Strbac G (2017) Economic analysis of energy storage business models. IEEE Manchester Power Tech
Grantham A, Pudney P, Ward LA et al (2017) The viability of electrical energy storage for low-energy households. Sol Energy 155:1216–1224
Alhamali A, Farrag ME, Bevan G, Hepburn DM (2017) Review of Energy Storage Systems in electric grid and their potential in distribution networks. In: 2016 18th international middle-east power systems conference, MEPCON 2016—proceedings, pp 546–551
Fedjaev J, Amamra SA, Francois B (2016) Linear programming based optimization tool for day ahead energy management of a lithium-ion battery for an industrial microgrid. In: Proceedings IEEE international power electronics and motion control conference PEM, pp 406–411
Nwulu NI, Agboola PO (2012) Modelling and predicting electricity consumption using artificial neural networks. In: Proceedings of the 11th international conference on environmental and electrical engineering (EEEIC2012), Venice, Italy, 18–25 May 2012
Musasa K, Nwulu NI, Gitau MN, Bansal RC (2017) Review on DC collection grids for offshore wind farms with HVDC transmission system. IET Power Electr 10:2104–2115
Damisa U, Nwulu NI, Sun Y (2018) Microgrid energy and reserve management incorporating prosumer behind the-meter resources. IET Renew Power Gener 12(8):910–919
Fahrioglu M, Nwulu NI (2012) Investigating a ranking of loads in avoiding potential power system outages. J Electr Rev (Przeglad Elektrotechniczny) Warsaw, Poland 88(11a):239–242
Nwulu NI, Fahrioglu M (2011) A neural network model for optimal demand management contract design. In: Proceedings of the 10th international conference on environmental and electrical engineering (EEEIC2011), Rome, Italy, 8–11 May 2011
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Gbadegesin, A.O., Sun, Y., Nwulu, N. (2020). Cost Analysis of Hybrid Energy Storage System Benefits to Distribution Network Operators. In: Emamian, S.S., Awang, M., Yusof, F. (eds) Advances in Manufacturing Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-5753-8_61
Download citation
DOI: https://doi.org/10.1007/978-981-15-5753-8_61
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-5752-1
Online ISBN: 978-981-15-5753-8
eBook Packages: EngineeringEngineering (R0)