Distribution Energy Resources Planning with Conservation Voltage Reduction

Maryam HABIBI, Mohsen KAZEMI
1.568 468

Abstract


This paper proposes a framework to find the optimal size and location of the Distributed Energy Resources (DERs) in a a distribution system, where the load growth and to minimization of the investment cost, loss and peak load loss as well as the voltage deviations and line congestions are taken into account. The planning process is begun with the load forecasting. A method is developed for peak load forecasting using the fuzzy regression.  The chief objectives are minimization of system upgrade, operation, maintenance, loss, peak load loss and finally system demand costs. Minimization of the demand cost is realized by minimization of system demand using tuning the voltage of the main station and reactive support of the reactive sources, which is called Conservation Voltage Reduction (CVR). The effects of voltage on the system demand at each bus are analyzed using ZIP model. To minimize the total cost, the Harmony Search Algorithm (HSA) is applied. The line power flow restrictions, minimum/maximum allowable voltage limit at different system buses and the limits on the producible power from different sources are included in the optimization constraints. The proposed framework is tested on IEEE 69 bus test system and the results of different case studies are analyzed.


Keywords


DERs, load forecasting, microgrid upgrades, planning in distribution systems, PSO

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References


D. Singh, R. K. Misra, D. Singh "Effect of load models in Distributed Generation planning," IEEE Trans. on Power Syst., vol. 22 n. 4, November 2007, pp. 2204 - 2212.

Philip P. Barker, Robert W. de Mello, “Determining the Impact of Distributed Generation on Power Systems: Part 1 – Radial Distribution Systems,” Proc. of the IEEE Power Engineering Society, vol. 3, July 2000, pp. 1645-1656.

N.M. Ijumba, A. A. Jimoh, M. Nkabinde, “Influence of Distributed Generation on Network Performance,” Proc. of 1999 IEEE AFRICON Conference, vol. 2, 1999, pp. 961-964.

K. H. Kim, Y. J. Lee, S. B. Rhee, S. K. Lee,S.-K.You, “Dispersed Generator Placement Using Fuzzy-GA in Distribution Systems”,IEEE PES Summer Meeting, vol. 3, July 2002, pp.1148– 1153.

J. O. Kim, S. W. Nam, S. K. Park, C. Singh, “Dispersed Generation Planning Using Improved Hereford Ranch Algorithm”, Electric Power System Research , vol. 47 n. 1, October 1998, pp.47–55.

W. Prommee, W. Ongsakul, “Optimal multiple distributed generation placement in Microgrid system by improved reinitialized social structures particle swarm optimization”, Euro. Trans. Electr. Power (ETEP), v 21, May 2010, pp. 489–504. 70 Bus No.