Abstract
Energy system is undergoing remarkable changes due to many factors including increase use of renewables, environmental consideration and technological advancements. This demands for new tools and methods for its efficient and smooth operation. This work proposes distributed demand response application using Multi-Agent System (MAS) for improving voltage in distribution network at port city. Contract-Net-Protocol (CNP) based scheme was used for communication and coordination between agents. A co-simulation framework including power system simulator and agent environment was used to evaluate the proposed MAS based approach. A test network including variable and intermittent renewable generation sources (wind, pv), flexible loads (reefers), non-flexible loads was used to investigate the MAS based approach. Results show that MAS based approach is quite effective for demand response application.
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References
Doudounakis, M., Kanellos, F.D.: Active power management in green ports. In: European Conference on Shipping, Intermodalism and Ports (ECONSHIP) (2015)
Pavlic, B., Cepak, F., Sucic, B., Peckaj, M., Kandus, B.: Sustainable port infrastructure, practical implementation of the green port concept. Therm. Sci. 18(3), 935–948 (2014)
e-harbours project. Municipality of Zaanstad (2016). https://eharbours.eu/
Efforts, G.: Green and effective operations at terminals and in ports (2012)
Daamen, T.A., Louw, E.: The challenge of the Dutch Port-City interface. Tijdschrift voor economische en sociale geografie 107(5), 642–651 (2016)
Parise, G., Parise, L., Martirano, L., Chavdarian, P.B., Su, C.-L., Ferrante, A.: Wise port and business energy management: port facilities, electrical power distribution. IEEE Trans. Ind. Appl. 52(1), 18–24 (2016)
Acciaro, M., Ghiara, H., Cusano, M.I.: Energy management in seaports: a new role for port authorities. Energy Policy 71, 4–12 (2014)
Tao, L., Guo, D.H., Moser, J., Mueller, D.H.: A roadmap towards smart grid enabled harbour terminals. In: CIRED Workshop - Rome (2014)
Hashim, T.T., Mohamed, A., Shareef, H.: A review on voltage control methods for active distribution networks. Prz. Elektrotech 88, 304–312 (2012)
Antoniadou-Plytaria, K.E., Kouveliotis-Lysikatos, I.N., Georgilakis, P.S., Hatziargyriou, N.D.: Distributed and decentralized voltage control of smart distribution networks: models, methods, and future research. IEEE Trans. Smart Grid PP(99), 1 (2017)
Malik, O., Havel, P.: Active demand-side management system to facilitate integration of res in low-voltage distribution networks. IEEE Trans. Sustain. Energy 5(2), 673–681 (2014)
Christakou, K.: A unified control strategy for active distribution networks via demand response and distributed energy storage systems. Sustain. Energy Grids Netw. 6, 1–6 (2016). http://www.sciencedirect.com/science/article/pii/S2352467716000023
Bogodorova, T., Vanfretti, L., Turitsyn, K.: Voltage control-based ancillary service using thermostatically controlled loads. In: Power and Energy Society General Meeting (PESGM), pp. 1–5. IEEE (2016)
Latif, A., Gawlik, W., Palensky, P.: Quantification and mitigation of unfairness in active power curtailment of rooftop photovoltaic systems using sensitivity based coordinated control. Energies 9(6), 436 (2016)
Verbeeck, J., Kuijper, F.: Application of smart energy networks-part i, summary results of the individual company demand response audits in the port of antwerp, wp. 3.5 report for e-harbours project (2013)
Application of Smart Energy Networks Potential flexibility of reefers WP 3.5 Report for E-Harbours Project. e-harbours project (2017). http://eharbours.eu/wp-content/uploads/WP-3.5-Application-of-Smart-Energy-Networks-Potential-flexibility-of-reefers.pdf
Palensky, P., Widl, E., Elsheikh, A.: Simulating cyber-physical energy systems: challenges, tools and methods. IEEE Trans. Syst. Man Cybern.: Syst. 44(3), 318–326 (2014)
Ahmad, I., Kazmi, J.H., Shahzad, M., Palensky, P., Gawlik, W.: Co-simulation framework based on power system, AI and communication tools for evaluating smart grid applications. In: 2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA), pp. 1–6, November 2015
Stifter, M., Schwalbe, R., Andrén, F., Strasser, T.: Steady-state co-simulation with powerfactory. In: 2013 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES), pp. 1–6. IEEE (2013)
Gonzalez-Longatt, F., Rueda, J.L.: PowerFactory Applications for Power System Analysis. Springer, Heidelberg (2014)
FIPA Agent Management Specification. Foundation for Intelligent Physical Agents (FIPA) (2016). http://www.fipa.org/specs/fipa00023/SC00023K.pdf
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Manolis, N., Ahmad, I., Fotios, K., Palensky, P., Gawlik, W. (2017). MAS Based Demand Response Application in Port City Using Reefers. In: Bajo, J., et al. Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems. PAAMS 2017. Communications in Computer and Information Science, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-319-60285-1_31
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DOI: https://doi.org/10.1007/978-3-319-60285-1_31
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