Abstract
The key mechanisms for purchasing and selling electrical energy include electricity pools and bilateral contracts. This article is devoted to bilateral contracting, which is modeled as a negotiation process involving an iterative exchange of offers and counter-offers. It focuses on coalitions of end-use consumers and describes a case study involving five schools for children located in England. The schools decide to ally into a coalition to strengthen their bargaining positions and, hopefully, to obtain better tariffs. To this end, they rely on a coordinator agent, who is defined from the group of five schools, by selecting either the “most powerful” school or the “best negotiator” school. The coordinator takes decisions according to either a “majority” rule, a “consensus” rule, or an “unanimity” rule. The simulations are performed with an agent-based system, called MATREM (for Multi-agent TRading in Electricity Markets). Although preliminary, the results suggest that coalition formation and management is beneficial to end-use customers, since the price agreed in the new forward contracts is more favorable to these agents, particularly when the coordinator is the “best negotiator” agent and considers the “unanimity” decision rule.
H. Algarvio and F. Lopes—This work was supported by “Fundação para a Ciência e Tecnologia” with references UID/CEC/50021/2013 and PD/BD/105863/2014.
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http://www.ecodriver.co.uk (accessed on April 2017).
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Certainly, bargaining power should be modeled by a more complex function. Broadly speaking, bargaining power is the potential to alter the attitudes and behaviors of others that an individual brings to a given negotiation situation (but see, e.g.,. [16]).
References
Shahidehpour, M., Yamin, H., Li, Z.: Market Operations in Electric Power Systems. Wiley, Chichester (2002)
Lopes, F., Coelho, H. (eds.): Electricity Markets with Increasing Levels of Renewable Generation: Structure, Operation, Agent-based Simulation and Emerging Designs. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-74263-2
Kirschen, D., Strbac, G.: Fundamentals of Power System Economics. Wiley, Chichester (2004)
Lopes, F., Coelho, H.: Strategic and Tactical behaviour in automated negotiation. Int. J. Artif. Intell. 4(S10), 35–63 (2010)
Klusch, M., Gerber, A.: Dynamic coalition formation among rational agents. IEEE Intell. Syst. 17(3), 42–47 (2002)
Sánchez-Anguix, V., Julián, V., Botti, V., García-Fornes, A.: Studying the impact of negotiation environments on negotiation teams performance. Inf. Sci. 219, 17–40 (2013)
Algarvio, H., Lopes, F., Santana, J.: Multi-agent retail energy markets: bilateral contracting and coalitions of end-use customers. In: 12th International Conference on the European Energy Market (EEM 2015), pp. 1–5. IEEE (2015)
Algarvio, H., Lopes, F., Santana, J.: Multi-agent retail energy markets: contract negotiation, customer coalitions and a real-world case study. In: Demazeau, Y., Ito, T., Bajo, J., Escalona, M.J. (eds.) PAAMS 2016. LNCS (LNAI), vol. 9662, pp. 13–23. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-39324-7_2
Lopes, F., Sá, J., Santana, J.: Renewable generation, support policies and the merit order effect: a comprehensive overview and the case of wind power in Portugal. In: Lopes, F., Coelho, H. (eds.) Electricity Markets with Increasing Levels of Renewable Generation: Structure, Operation, Agent-based Simulation, and Emerging Designs. SSDC, vol. 144, pp. 227–263. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-74263-2_9
Sousa, F., Lopes, F., Santana, J.: Contracts for difference and risk management in multi-agent energy markets. In: Demazeau, Y., Decker, K.S., Bajo Pérez, J., de la Prieta, F. (eds.) PAAMS 2015. LNCS (LNAI), vol. 9086, pp. 155–164. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-18944-4_13
Bellifemine, F., Caire, G., Greenwood, D.: Developing Multi-Agent Systems with JADE. Wiley, Chichester (2007)
Lopes, F.: MATREM: an agent-based simulation tool for electricity markets. In: Lopes, F., Coelho, H. (eds.) Electricity Markets with Increasing Levels of Renewable Generation: Structure, Operation, Agent-based Simulation, and Emerging Designs. SSDC, vol. 144, pp. 189–225. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-74263-2_8
Lopes, F., Coelho, H.: Electricity markets and intelligent agents part ii: agent architectures and capabilities. In: Lopes, F., Coelho, H. (eds.) Electricity Markets with Increasing Levels of Renewable Generation: Structure, Operation, Agent-based Simulation, and Emerging Designs. SSDC, vol. 144, pp. 49–77. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-74263-2_3
Lopes, F., Algarvio, H., Coelho, H.: Bilateral contracting in multi-agent electricity markets: negotiation strategies and a case study. In: International Conference on the European Energy Market (EEM 2013), pp. 1–8. IEEE (2013)
Osborne, M., Rubinstein, A.: Bargaining and Markets. Academic Press, London (1990)
Lewicki, R., Barry, B., Saunders, D.: Negotiation. McGraw Hill, New York (2010)
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Algarvio, H., Lopes, F., Santana, J. (2018). Coalitions of End-Use Customers in Retail Electricity Markets: A Real-World Case Study Involving Five Schools for Children. In: Bajo, J., et al. Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection. PAAMS 2018. Communications in Computer and Information Science, vol 887. Springer, Cham. https://doi.org/10.1007/978-3-319-94779-2_27
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