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Distribution Network Modeling and Capacitor Placement ApplicationSu, Yuh-Sheng 14 August 2002 (has links)
Enhancing the quality of services in the distribution system is an important topic for power system research. It is imperative to employ precise network modeling and effective simulation tools, and a good system model is the key. This dissertation starts with modifying the building algorithms of Y-admittance and Z-impedance matrices. The Y-matrix will be built according to phase sequences. With the facts that the line self-impedance is significantly greater than the mutual-coupling terms and the existence of a high r/x ratio in distribution, two decoupled load flow methods (Phase-Decoupled¡BPD and Sub-Phase-Decoupled¡BSPD) with Current Injection Model(CIM) were developed. A new Z-matrix building algorithm was also developed in this dissertation. It decomposed the traditional Z into two sub-matrices, the upper and lower triangular matrices respectively. The matrices represent the relationships between the branch current and the bus injection current, and between the bus voltage and the branch current.
Enhancing the quality of services will be effectively achieved by a proper capacitor placement technique. This dissertation develops a linear relationships of voltage changes versus the capacitor compensation, the branch current changes versus the capacitor compensation, and loss reductions versus the capacitor compensation. For loss reduction, a linear optimization function was defined to solve the capacitor placement problem. Tests have shown that the proposed methods were suitable for applications to an unbalance distribution system.
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Alocação de capacitores e ajuste de tapes para minimização de perdas em sistemas de distribuição de energia elétrica / Capacitor placement and LTC adjustment for loss minimization in electric power distribution systemsCasagrande, Cristiano Gomes 13 August 2010 (has links)
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Previous issue date: 2010-08-13 / A necessidade de redução do custo associado à operação dos sistemas de
distribuição de energia elétrica tem se tornado cada vez mais imperativa no cenário do
setor energético. Uma das principais alternativas para resolver este problema é a
minimização de perdas de potência ativa nos alimentadores de distribuição.
A fim de reduzir as perdas, algumas práticas têm sido adotadas, como a alocação
de capacitores em pontos estratégicos do sistema, bem como o ajuste de tapes de
transformadores e reconfiguração de redes de distribuição. A solução de problemas
desse tipo envolve complexos algoritmos de otimização não linear inteira mista.
Nesse contexto, este trabalho apresenta uma técnica especializada baseada na
meta-heurística colônia de formigas para solucionar o problema de minimização de
perdas nos sistemas de distribuição de energia elétrica através da alocação ótima de
capacitores combinada ao ajuste de tapes, além de considerar restrições de violação de
tensão. O algoritmo desenvolvido propõe modificações na estrutura básica do problema,
a fim de obter resultados melhores. A metodologia proposta é aplicada a sistemas
encontrados na literatura e resultados são comparados com outros métodos. / The reduce the cost associated with the operation of electric power distribution
systems has become increasingly imperative in the setting of the energy sector. One of
the main alternatives to solve this problem is to minimize power losses in distribution
feeders.
In order to reduce losses, some practices have been adopted, such as the allocation
of capacitors at strategic points in the system as well as LTC adjustment and
reconfiguration of distribution networks. The solution of such problems involves
complex algorithms for nonlinear mixed integer optimization.
Therefore, this paper presents a specialized technique based on meta-heuristic ant
colony optimization to solve the problem of minimizing losses in electric power
distribution systems through the optimal capacitor placement combined with the LTC
adjustment, and consider constraints voltage violation. This algorithm proposes changes
to the basic structure of the problem in order to obtain better results. The proposed
methodology is applied to systems found in the literature and results are compared with
other methods.
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