An efficient method for optimal location and sizing of fixed and switched shunt capacitors in large distribution systems


Autoria(s): Khodr, H. M.; Yusta, J. M.; Vale, Zita; Ramos, Carlos
Data(s)

03/05/2013

03/05/2013

2008

12/04/2013

Resumo

This paper proposes a computationally efficient methodology for the optimal location and sizing of static and switched shunt capacitors in large distribution systems. The problem is formulated as the maximization of the savings produced by the reduction in energy losses and the avoided costs due to investment deferral in the expansion of the network. The proposed method selects the nodes to be compensated, as well as the optimal capacitor ratings and their operational characteristics, i.e. fixed or switched. After an appropriate linearization, the optimization problem was formulated as a large-scale mixed-integer linear problem, suitable for being solved by means of a widespread commercial package. Results of the proposed optimizing method are compared with another recent methodology reported in the literature using two test cases: a 15-bus and a 33-bus distribution network. For the both cases tested, the proposed methodology delivers better solutions indicated by higher loss savings, which are achieved with lower amounts of capacitive compensation. The proposed method has also been applied for compensating to an actual large distribution network served by AES-Venezuela in the metropolitan area of Caracas. A convergence time of about 4 seconds after 22298 iterations demonstrates the ability of the proposed methodology for efficiently handling large-scale compensation problems.

Identificador

DOI 10.1109/PES.2008.4596795

978-1-4244-1905-0

978-1-4244-1906-7

1932-5517

http://hdl.handle.net/10400.22/1515

Idioma(s)

eng

Publicador

IEEE

Relação

Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy

http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4596795

Direitos

closedAccess

Palavras-Chave #Distribution systems #Capacitor placement #Large-scale optimization #Mixed-integer linear programming
Tipo

conferenceObject