Multi-Objective Optimal Active/Reactive Power Dispatch with Considering Load and Wind Generation Uncertainties

• Main Authors: Jia-ching Wang, 王嘉慶
• Other Authors: Ruey-hsun Liang
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/50319574254348538928

碩士 === 國立雲林科技大學 === 電機工程系碩士班 === 102 === There are two parts of problem discussed in this thesis. The first part is multi-objective optimal reactive power dispatch problem. In this problem, the optimal solution is found under the condition which the active power of power generators of PV buses are assumed to be known and fixed. By controlling the load tap changer of transformers, reactive power output of capacitors, and voltage of slack bus and PV buses, the loss of transmission lines and the voltage deviation of load buses can be reduced. To make less cost of power generation, the second part that includes optimal active power dispatch and wind energy system. This problem also considers uncertainties which exist in practical load demands and wind speed. In optimal active power dispatch problem, the loss coefficients of transmission lines and control variables which are dispatched by multi-objective optimal reactive power dispatch are fixed. The B-coefficients based on economic dispatch are used to obtain active power of power generators for active power dispatch solution in order to make less cost of power generation. This thesis presents enhanced firefly algorithm with local random search to multi-objective optimal active and reactive power dispatch with considering load and wind generation uncertainties problem. This algorithm is based on firefly algorithm which the update formula and parameters are modified and the mutation strategy and local random search are utilized to enhance the capabilities of exploring and searching. So the proposed algorithm can converge fast and the solution can avoid trapping in local minimum. Furthermore, in order to deal with the multi-objective problem and the linguistic expression such as “as little as possible”, the fuzzy theory is employed to establish the fuzzy membership functions. To demonstrate the effectiveness of the proposed method for solving multi-objective optimal reactive power dispatch problem and multi-objective optimal active and reactive power dispatch with considering load and wind generation uncertainties problem, the test systems have been applied and the results of the proposed method are compared with those of other algorithms. The results show that the proposed method can get better solution.