Microgrid Technologies. Группа авторов

Читать онлайн книгу.

Microgrid Technologies - Группа авторов


Скачать книгу
comparison, ACM Computing Surveys (CSUR), 35(3), 268–308, 2003.

      51. Das, B.K., Al-Abdeli, Y.M., Kothapalli, G., Effect of load following strategies, hardware, and thermal load distribution on standalone hybrid CCHP systems, Appl. Energy, 2018.

      52. Luu, N.A., Tran, Q.T., Bacha, S., Optimal energy management for an island microgrid by using dynamic programming method, In Proceedings of the 2015 IEEE Eindhoven PowerTech, Eindhoven, The Netherlands, 29 June–2 July 2015.

      53. Neves, D., Pina, A., Silva, C.A., Comparison of different demand response optimization goals on an isolated microgrid, Sustain. Energy Technol. Assess., 2018.

      55. Ju, C., Wang, P., Goel, L., Xu, Y., A two-layer energy management system for microgrids with hybrid energy storage considering degradation costs, IEEE Trans. Smart Grid, 2018.

      56. Wang, Z., Zhu, Q., Huang, M., & Yang, B., Optimization of economic/environmental operation management for microgrids by using hybrid fireworks algorithm, International Transactions on Electrical Energy Systems, 27(12), 2017.

      57. Roy, K., Mandal, K.K., & Mandal, A.C., Modeling and managing of micro grid connected system using improved artificial bee colony algorithm, International Journal of Electrical Power & Energy Systems, 75, 50–58, 2016.

      58. Lin, W.M., Tu, C.S., & Tsai, M.T., Energy management strategy for microgrids by using enhanced bee colony optimization, Energies, 9(1), 5, 2015.

      59. Marzband, M., Azarinejadian, F., Savaghebi, M., Guerrero, J.M., An optimal energy management system for islanded microgrids based on multiperiod artificial bee colony combined with markov chain, IEEE Syst. J., 2017.

      60. Prathyush, M., Jasmin, E.A., Fuzzy Logic Based Energy Management System Design for AC Microgrid, In Proceedings of the International Conference on Inventive Communication and Computational Technologies (ICICCT), Coimbatore, India, 20 April 2018.

      61. De Santis, E., Rizzi, A., Sadeghian, A., Hierarchical genetic optimization of a fuzzy logic system for energy flows management in microgrids, Appl. Soft Comput. J., 2017.

      62. Ma, L., Liu, N., Zhang, J., Tushar, W., Yuen, C., Energy Management for Joint Operation of CHP and PV Prosumers Inside a Grid-Connected Microgrid: A Game Theoretic Approach, IEEE Trans. Ind. Inform., 2016.

      63. Leonori, S., Rizzi, A., Paschero, M., Mascioli, F.M.F., Microgrid Energy Management by ANFIS Supported by an ESN Based Prediction Algorithm, In Proceedings of the International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazil, 8–13 July 2018.

      64. Liu, N., Yu, X., Wang, C., Wang, J., Energy Sharing Management for Microgrids with PV Prosumers: A Stackelberg Game Approach, IEEE Trans. Ind. Inform., 2017.

      65. Mondal, A., Misra, S., Patel, L.S., Pal, S.K., Obaidat, M.S., DEMANDS: Distributed energy management using noncooperative scheduling in smart grid, IEEE Syst. J., 2018.

      1 *Corresponding author: [email protected]

      2

      Power and Energy Management in Microgrid

       Jayesh J. Joglekar

       MIT World Peace University, Pune, India

       Abstract

      The microgrid voltage management has a significant concern during unstable system condition due to limited power to frequency ratio (MW/Hz). The selection of sources for microgrid would play an essential role and power management techniques could save the microgrid from the complete blackout. The modification in the power flow controller could achieve desirable results with an appropriate position of the power flow controller.

      Keywords: BESS, fuel cell, energy storage, microgrid, renewable source

Schematic illustration of the basic structure of microgrid.

      2.2.1 Selection of Source for DG


Скачать книгу