Document Type : Review Article

Authors

University of Tabriz, Tabriz, Iran

Abstract

If determination of location and size of Distributed Generation (DG) are applied accurately, the DG’s ability will improve the network situation and reduce operation costs. In this paper, various market conditions are considered to maximize the benefit of DG’s presence and make a trade off among advantages of DG, network situation, and Distribution Company (DISCO) owners. To determine the optimal location and size of DG, two methods of the cost minimization and the nodal pricing are combined. In addition to evaluating the impact of parameters such as variation of energy price and load on objective function, effect of these parameters on location and size of DG is considered. To confirm the results, impact of loads which are dependent on voltage and variation of the power factor of the DG units is applied and then Effect of power factor on optimal location and size of DG is shown. A method is proposed for convergence of different results which is caused by different power factors. To observe long-term impact of the DG’s presence in the network, a load growth for five years is considered annually. Study is carried out on IEEE-30 bus test circuit. 

Keywords

[1] Singh R.K., Goswami S.K. Optimum allocation of distributed generations based on nodal pricing for profit ,loss reduction, and voltage improvement including voltage rise issue, International Journal of Electrical Power and Energy Systems 2010; 32: 637-644.
[2] Lezama J.M, Feltrin A.P., Contreras J., Muñoz J.I. Optimal contract pricing of distributed generation in distribution networks. IEEE Transaction on Power Systems 2011; 26, 128-136.
[3] Zangiabadi M., Feuillet R., Lesani H., HadjSajad N., Kvaloy J.T. Assessing the performance and benefits of customer distributed generation developers under uncertainties. International Journal of Electrical Power and Energy Systems 2010; 36:1703-1712.
[4] Khan H., Choudhry M. A. Implementation of distributed generation (IDG) algorithm for performance enhancement of distribution feeder under extreme load growth. International Journal of Electrical Power and Energy Systems 2010; 32: 985-997.
[5] Hung D.Q., Mithulananthan N., Bansal R. C. Analytical expressions for DG allocation in primary distribution networks. IEEE Transaction on Energy Conversion 2010; 25: 814-820
[6] Nasri, A., Hamedani Golshan M.E., Saghaian Nejad S. M. Optimal planning of dispatchable and non‐dispatchable distributed generation units for minimizing distribution system's energy loss using particle swarm optimization. European Transactions on Electrical Power 2012; 22: 1437-1448.
[7] Trebolle D., Gomez T., Cossent R., Frias P. Distribution planning with reliability options for distributed generation. Electric Power Systems Research 2010; 80: 222-229.
[8] Hemdan G.A., Kurrat M. Efficient integration of distributed generation for meeting the increased load demand. International Journal of Electrical Power and Energy Systems 2011, 33: 1572-1583.
[9] Porkar S., Poure P., Abbaspour-Tehrani-fard A., Saadate S. A novel optimal distribution system planning framework implementing distributed generation in a deregulated electricity market. Electric Power Systems Research 2010; 80: 828-837.
[10] Cecile M., Herault A. A novel hybrid network architecture to increase DG insertion in electrical distribution systems. IEEE Transaction on Power Systems 2011; 26: 905-914 .
[11] Lee S.H., Park J.W. Selection of optimal location and size of multiple distributed generations by using kalman filter algorithm. IEEE Transaction on Power Systems 2009; 24: 1393-1400.
[12] Abou El-Ela A.A., Allam S.M., Shatla M.M. Maximal optimal benefits of distributed generation using genetic algorithms. Electric Power Systems Research 2010; 80: 869-877.
[13] Kyu‐Ho K., Song K.B., Sung‐Kwan J., Yu‐Jeong L., Jin‐O. K. Multi-objective distributed generation placement using fuzzy goal programming with genetic algorithm. European Transactions on Electrical Power 2008; 18: 217-230.
[14] Porkar S., Poure P., Abbaspour‐Tehrani‐fard A., Saadate S. Optimal allocation of distributed generation using a two‐stage multi‐objective mixed‐integer‐nonlinear programming. European Transactions on Electrical Power 2011; 21: 1072-1087.
[15] Soroudi, A., Ehsan M. Efficient immune‐GA method for DNOs in sizing and placement of distributed generation units. European Transactions on Electrical Power 2011; 21: 1361-1375.
[16] El-Zonkoly. Optimal placement of multi-distributed generation units including different load models using particle swarm optimization. IET Generation& Transmission& Distribution 2011; 5 :760-771.
[17] Abu-Mouti F.S., El-Hawary M.E. Optimal distributed generation allocation and sizing in distribution systems via artificial bee colony algorithm. IEEE Transaction on Power Systems delivery 2011; 26: 2090-2101.
[18] Kumar A., Gao W. Optimal distributed generation location using mixed integer non-linear programming in hybrid electricity markets. IET Generation& Transmission& Distribution. 2010; 4: 281-298.
[19] Elnashar M.M, El.Shatshat R., Salama M.A. Optimum siting and sizing of a large distributed generator in a mesh connected system. Electric Power Systems Research 2010; 80: 690-697.
[20] Ghosh S., Ghoshal S.P., Ghosh S. Optimal sizing and placement of distributed generation in a network system. International Journal of Electrical Power and Energy Systems 2010; 32: 849-856.
[21] Abapour S., Babaei E., Khanghah B.Y. Application of active management on distribution network with considering technical issues. In: IEEE 2nd Iranian Conference on Smart Grids (ICSG) 2012; 1-6.