Application of Multi-objective Optimal Algorithm to the Capacitor Placement Problem in Distribution Systems

• Main Authors: Chang, Hsi-Hsiang, 張喜翔
• Other Authors: Su, Ching-Tzong
• Format: Others
• Language: zh-TW
• Published: 2004
• Online Access: http://ndltd.ncl.edu.tw/handle/62028278197622239308

碩士 === 國立中正大學 === 電機工程研究所 === 92 === A proper capacitor placement technique can effectively enhance the power quality. This work presents a new approach for solving the capacitor placement problem and helps the dispatcher making policy decisions. To obtain the essential states of system conditions, such as bus voltages and feeder currents, this study utilizes the power flow analyses which are evaluated by a set of recursive equations to calculate the feeder currents and bus voltages. Then, a multi-objective algorithm is presented to solve the capacitor placement problem in a distribution system. These objective functions in the considered problem are modeled with fuzzy sets to express their uncertain and subjective characteristics. Moreover, an interactive trade-off method based on the simulated annealing and the ε-constrained technique is presented for the optimal capacitor allocation problem. To the most concerns of the system planner, the objective formulation involves cost investment, power loss, deviation of the bus voltage, and feeder’s current. With the interactive steps, the planner can provide his or her preference on each objective or requirement of system security and service quality to resolve the multi-objective optimization problem and reach a non-inferiority solution. To verify the effectiveness of the proposed method, the method is applied to a Taipower distribution system with the voltage level of 11.4KV and 32 buses. Computation results have shown that the proposed method is suitable for applications to the capacitor placement problem.