© The Institution of Engineering and Technology
The rapid growth of the transmission networks has brought more uncertainties and new requirements in the transmission expansion planning (TEP) to the planners. The existing methods of solving TEP problem have a drawback since the DC load flow and the relaxed load flow models have been utilized to solve TEP problem. In this work, the TEP problem is solved based on mixed integer nonlinear non-convex programming model. A meta-heuristic algorithm by the means of differential evolution algorithm (DEA) is employed as an optimisation tool. An AC load flow model is used in solving the TEP problem, where accurate and realistic results can be obtained. Furthermore, the work considers the constraints checking and system violation such as real and power generation limits, possible number of lines added and bus voltage limits. The proposed technique is tested on Garver's 6 bus system and IEEE 24 bus system and has shown high capability in considering the active and reactive power in the same manner and solving the TEP problem. The method produced improved results for the test systems. In terms of minimising the cost and the solution quality, the proposed method obtained good and challenging results comparing to the previous works.
References
-
-
1)
-
M.J. Rider ,
A.V. Garcia ,
R. Romero
.
Transmission network expansion planning by a branch-and-bound algorithm.
IET Gener. Transm. Distrib.
,
1 ,
90 -
99
-
2)
-
G.C. Oliveira ,
A.P.C. Costa ,
S. Binato
.
Large scale transmission network planning using optimization and heuristic techniques.
IEEE Trans. Power Syst.
,
4 ,
1828 -
1834
-
3)
-
10. Murugan, P.: ‘Modified particle swarm optimization with novel initialization for finding optimal solution to the transmission expansion planning problem’, IET Gener. Transm. Distrib., 2012, 6, (11), pp. 1132–1142 (doi: 10.1049/iet-gtd.2012.0183).
-
4)
-
2. Rahmani, M., Vinasco, G., Rider, M.J., Romero, R., Pardalos, P.M.: ‘Multistage transmission expansion planning considering fixed series compensation allocation’, IEEE Trans. Power Syst., 2013, 28, (4), pp. 3795–3805 (doi: 10.1109/TPWRS.2013.2266346).
-
5)
-
E.L. Silva ,
H.A. Gil ,
J.M. Areiza
.
Transmission network expansion planning under an improved genetic algorithm.
IEEE Trans. Power Syst.
,
3 ,
1168 -
1175
-
6)
-
22. Rahmani, M., Rashidinejada, M., Carrenoc, E.M., Romerob, R.: ‘Efficient method for AC transmission network expansion planning’, Electr Power Syst Res, 2010, 80, (9), pp. 1056–1064 (doi: 10.1016/j.epsr.2010.01.012).
-
7)
-
R. Storn ,
K. Price
.
Differential evolution – a simple and efficient heuristic for global optimisation over continuous spaces.
J. Global Optimiz.
,
341 -
359
-
8)
-
6. Leite da Silva, A.M., Rezende, L.S., Honório, L.M., Manso, L.A.F.: ‘Performance comparison of meta-heuristics to solve the multi-stage transmission expansion planning problem’, IET Gener. Transm. Distrib., 2011, 5, (3), pp. 360–367 (doi: 10.1049/iet-gtd.2010.0497).
-
9)
-
19. Romero, R., Rider, M.J., Silva, I.d.J.: ‘A metaheuristic to solve the transmission expansion planning’, IEEE Transactions on Power Systems, 2007, 22, (4), pp. 2289–2291 (doi: 10.1109/TPWRS.2007.907592).
-
10)
-
P. Maghouli ,
S. Hosseini ,
M. Buygi ,
M. Shahidehpour
.
A scenario-based multiobjective model for multi-stage transmission expansion planning.
IEEE Trans. Power Syst.
,
1 ,
470 -
478
-
11)
-
21. Zhang, H., Heydt, G.T., Mittelmann, H.D.: ‘Transmission expansion planning using an AC model: formulations and possible relaxations’. IEEE Power and Energy Society General Meeting, 2012.
-
12)
-
12. Lu, M., Lu, Z., Dong, Z.Y., Saha, T.K.: ‘A hybrid probabilistic criterion for market-based transmission expansion planning’. IEEE Power Engineering Society General Meeting, 2006.
-
13)
-
25. Hedman, K.W., Oren, R.P., Fisher, E.B., Oren, S.S.: ‘Transmission switching with contingency analysis’, IEEE Trans. Power Syst., 2009, 24, (3), pp. 1577–1586 (doi: 10.1109/TPWRS.2009.2020530).
-
14)
-
M.J. Rider ,
A.V. Garcia ,
R. Romero
.
Power system transmission network expansion planning using AC model.
IET Gener. Transm. Distrib.
,
5 ,
731 -
742
-
15)
-
A.H. Escobar ,
R.A. Gallego ,
R. Romero
.
Multistage and coordinated planning of the expansion of transmission systems.
IEEE Trans. Power Syst.
,
2 ,
735 -
744
-
16)
-
S. Haffner ,
A. Monticelli ,
A. Garcia ,
R. Romero
.
Specialised branch-and-bound algorithm for transmission network expansion planning.
IEE Proc. Gener. Transm. Distrib.
,
5 ,
482 -
488
-
17)
-
4. Guamán, W.H., Ojeda, D., Vargas, A.: ‘Centralized expansion planning of the transmission network in competitive markets. a solution based on a hybrid approach’. 2010 IEEE/PES Transmission and Distribution Conf. and Exposition: Latin America.
-
18)
-
16. Moulin, L.S., Poss, M., Sagastizabal, C.: ‘Transmission expansion planning with re-design’, Energy Syst., 2010, 1, (2), pp. 113–139 (doi: 10.1007/s12667-010-0010-9).
-
19)
-
18. Zhang, H., Vittal, V., Heydt, G.T., Quintero, J.: ‘A mixed-integer linear programming approach for multi-stage security-constrained transmission expansion planning’, IEEE Trans. Power Syst., 2012, 27, (2), pp. 1125–1133 (doi: 10.1109/TPWRS.2011.2178000).
-
20)
-
T. Sum-Im ,
G.A. Taylor ,
M.R. Irving ,
Y.H. Song
.
Differential evolution algorithm for static and multistage transmission expansion planning.
IET Gener. Transm. Distrib.
,
4 ,
365 -
384
-
21)
-
J. Choi ,
A.A. El-Keib ,
T. Tran
.
A fuzzy branch and bound-based transmission system expansion planning for the highest satisfaction level of the decision maker.
IEEE Trans. Power Syst.
,
1 ,
476 -
484
-
22)
-
G. Latorre ,
R.D. Cruz ,
J.M. Areiza ,
A. Villegas
.
Classification of publications and models on transmission expansion planning.
IEEE Trans. Power Syst.
,
2 ,
938 -
946
-
23)
-
R. Romero ,
A. Monticelli
.
A hierarcical decomposition approach for transmission network expansion planning.
IEEE Trans. Power Syst.
,
1 ,
373 -
380
-
24)
-
R. Romero ,
C. Rocha ,
M. Mantovani ,
J.R.S. Mantovani
.
Analysis of heuristic algorithms for the transportation model in static and multistage planning in network expansion systems.
IEE Proc. Gener. Transm. Distrib.
,
5 ,
521 -
526
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-gtd.2014.0001
Related content
content/journals/10.1049/iet-gtd.2014.0001
pub_keyword,iet_inspecKeyword,pub_concept
6
6