Abstract
Micro-grids have been considered as a vital part of power system. The distribution system is gradually showing the characteristics of multi-source initiative. The distribution network reconfiguration with microgrid changes the topology of the network by controlling the state of the switch, and optimizes the predetermined indicators under the premise of safe, economic and stable operation. This paper describes a hierarchical distribution network reconfiguration strategy with microgrid, which can reduce the number of operation of the switch and the network loss. This strategy ensures rapid power supply recovery. In the process of reconstruction, this paper uses the immune clonal selection differential evolution algorithm. The simulation examples are included to display the performance of the proposed method.
Similar content being viewed by others
References
Chiou JP, Chang CF, Su CT (2005) variable scaling hybrid differential evolution for solving network reconfiguration system. IEEE Trans Power Systems 20(2):668–674
Dasgupta D, Attoh-Okine N (1997) Immunity based systems: a survey. Proc IEEE Int Conf Syst 7(5):369–374
Evangelopoulos VA, Geor Gilakis PS (2014) Optimal distributed generation placement under uncertainties based on point estimate method embedded genetic algorithm. IET Gen Transm Distrib 8(3):389–400
Fei D, Loparo KA (2015) Hierarchical decentralized network reconfiguration for smart distribution systems—Part II: problem formulation and algorithm development. IEEE Trans Power Syst 30:744–752
Hsuyy H (1992) Voltage control using a combined integer linear programming and a rule-based approach. IEEE Trans Power Syst 7(2):744–748
Imran AM, Kowsalya M, Kothari DP (2014) A novel integration technique for optimal network reconfiguration and distributed generation placement in power distribution networks. Electr Power Energy Syst 63:461–472
Kuo H-C, Hsu Y-Y (1993) Distribution system load estimation and service restoration using a fussy set approach. IEEE Trans Power Deliv 8(4):1950–1957
Lasseter RH, Paigi P (2004) Microgrid: a conceptual solution. In: Power electronics specialists conference, pp 4285–4290
Li YW, Vilathgamuwa DM, Loh PC (2004) Design, analysis, and real-time testing of a controller for multi-bus microgrid system. IEEE Trans Power Electron 19(2):1195–1204
Li-Jue L, Cai ZX, Chen H (2006) Immunity clone algorithm with particle swarm evolution. J Cent South Univ Technol 13(6):703–707
Nara K, Shiose A, Kitagawa M (1992) Implementation of genetic algorithm for distribution systems loss minimum re-configuration. IEEE Trans Power Syst 7(3):1044–1051
Niknam T, Fard AK, Baziar A (2012) Multi-objective stochastic distribution feeder reconfiguration problem considering hydrogen and thermal energy production by fuel cell power plants. Energy 42:563–573
Prasad K, Ranjan R, Sahoo NC, Chaturvedi A (2005) Optimal reconfiguration of radial distribution systems using a fuzzy mutated genetic algorithm. IEEE Trans Power Deliv 20(2):1211–1213
RainerStorn KP (1997) Differential evolution—a simple and efficient heuristic for global optimization over continuous spaces. J Glob Optim 11(4):341–349
Shilpa K, Ganga A (2014) Loss minimization techniques used indistribution network. Renew Sustain Energy Rev 29(1):184–200
Tan S, Xu J, Panda SK (2012) Optimization of distribution network incorporating microgrid using vaccine-AIS. In: IEEE Industry electronics society conf (IECON), pp 1381–1386
Timmis J, Knight T (2001) Artificial immunes system: using the immune system as inspiration for data mining. Heuristic approach 12(5):209–215
Wang X, Li X (2012) Fault recovery of micro-grid based on network reconfiguration. In: IEEE power and energy engineering conf (APPEEC), pp 1–4
Wei L, Xiaolong J, Yunfei M (2014) A novel reconfiguration strategy for active distribution network considering maximum power supply capability. Appl Mech Mater 448:2747–2752
Zeineldin HH, Bhattacharya K, El-aadany EF (2006) Impact of intentional islanding of distributed generation on electricity market prices. IEE Proc Gen Transm Distrib 53(2):147–154
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Wang, X., Ji, Y., Wang, J. et al. Research on distribution network reconfiguration based on microgrid. J Ambient Intell Human Comput 11, 3607–3615 (2020). https://doi.org/10.1007/s12652-019-01542-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12652-019-01542-5