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A framework for the management of distributed energy resources to address the imbalance between electricity supply and demand based on social welfare maximisation

Tamaki Yamazaki, Hirotaka Takano, Hiroshi Asano and Nguyen Duc Tuyen
Pages: 1-9Published: 31 Dec 2024
DOI: 10.33430/V31N2ICEE23-JY145
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Yamazaki T, Takano H, Asano H and Tuyen ND, A framework for the management of distributed energy resources to address the imbalance between electricity supply and demand based on social welfare maximisation, HKIE Transactions, Vol. 31, No. 2 (ICEE Special Issue), Article ICEE23JY145, 2024, 10.33430/V31N2ICEE23-JY145

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Abstract:

The authors propose a calculation method of parameters to manage distributed energy resource (DER). The proposed method takes into account the balance between power supply and demand. This paper, first, formulates the power transaction between retail electricity suppliers, especially those with the function of energy resource aggregators, and their customers under a framework of social welfare maximisation (SWM). In theory, the customers consume electricity to maximise their economic surplus under given retail electricity prices. The SWM framework enables us to measure the value of changes in the customers’ surplus resulting from cooperation in the DER management. On the basis of this characteristic, second, the authors derive rebate levels as the parameters in the DER management. The authors’ proposal benefits both the retailers and the customers.

Keywords:

Imbalance between electricity supply and demand; distributed energy resources; incentive-based demand response programmes; rebate levels; social welfare maximisation.

Reference List:

  1. Furuta R and Matsuhashi R (2019). Study on Aggregator’s Strategy of Controlling Electric Vehicles to Compensate Imbalances in Power Systems Using Reinforcement Learning. Int. J. Electr. Energy, 7(2), pp. 67-71.
  2. Hansen TM, Roche R, Suryanaranan S, Maciejewski AA and Siegel HJ (2015). Heuristic Optimization for an Aggregator-Based Resource Allocation in the Smart Grid. IEEE Transactions on Smart Grid, 6(4) pp. 1785-1794.
  3. Kerscher S and Arboleya P (2022). The key role of aggregators in the energy transmission under the latest European regulatory framework. International Journal of Electrical Power and Energy Systems, 134(3), 107361.
  4. Mankiw NG (2016). Principle of Microeconomics. 8th Edition. [online]. Available at: <https://zalamsyah.staff.unja.ac.id/wp-content/uploads/sites/286/2020/10/Principles-of-Microeconomics-8th-Ed.-GREGORYMANKIW-1.pdf>. [Accessed on 28 February 2023].
  5. Ministry of Economy, Trade, and Industry (2020). Guidelines for Energy Resource Aggregation Business. [online]. Available at: <https://www.meti.go.jp/press/2020/06/20200601001/20200601001-1.pdf>. [Accessed on 28 February 2023]. (In Japanese).
  6. Ministry of Economy, Trade, and Industry (2022). Imbalance Ryoukin Seido Nado Nitsuite (Regulation of Imbalance Charge). [online]. Shin Imbalance Ryoukin Seido Setsumeikai (Seminar about New Regulation of Imbalance Penalty). Available at:<https://www.emsc.meti.go.jp/info/public/pdf/20220117001b.pdf>. [Accessed on 28 February2023]. (In Japanese).
  7. Newcomb J, Lacy V, Hansen L and Bell M (2013). Distributed Energy Resources: Policy Implications of Decentralization. Electr. J., 26(8), pp.65-87.
  8. Sorin E, Bobo L and Pinson P (2018). Consensus-Based Approach to Peer-to-Peer Electricity Markets with Product Differentiation. IEEE Trans. Power Syst, 34(2), pp. 994-1004.
  9. Takano H, Yoshida N, Asano H, Hagishima A and Tuyen NG (2021). Calculation Method for Electricity Price and Rebate Level in Demand Response Programs. Appl. Sci. 2021, 11(15), 6871.
  10. Takano H, Yoshida N and Asano H (2022). Theoretical Design of Economic Incentive in Demand Response Programs. CIGRE Sci. Eng., 26, pp. 1-14.
  11. U.S. Department of Energy (2006). Benefits of Demand Response in Electricity Markets and Recommendations for Achieving Them. [online]. A report to the United States Congress pursuant to section 1252 of the energy policy act of 2005. Available at:<https://www.energy.gov/oe/articles/benefits-demand-response-electricity-markets-andrecommendations-achieving-them-report>. [Accessedon 28 February 2023].
  12. Yang P, Tang G and Nehorai A (2013). A Game-Theoretic Approach for Optimal Time-of-Use Electricity Pricing. IEEE Trans. Power Syst. 2013, 28(2), pp. 884-892.
  13. Zou X (2009). Double-sided auction mechanism design in electricity based on maximizing social welfare. Energy Policy, 37(11), pp. 4231-4239.
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