Application of Improved Forest Optimization Algorithm to Multi-Area Dynamic Economic Dispatch with Hydroelectric Generation

• Main Authors: CHEN, CHUN-CHI, 陳俊棋
• Other Authors: LIANG, RUEY-HSUN
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/37482976831075313807

碩士 === 國立雲林科技大學 === 電機工程系 === 104 === This thesis investigates the problem that dispatches multi-area generation to achieve the lowest fuel cost, and constraints must be also satisfied in different time and different load demand. The purpose of the multi-area dynamic economic dispatch is to determine the power output of each generator in each area, and transmission tie lines are used to connect each area to satisfy load demand. Because of the development of industry and business, the demand of electrical energy increases year by year. Due to the thermal power is a majority of generation in power systems, it comes with the pollution problem. Thus, both fuel cost and emission are considered simultaneously as the objective functions in this thesis. This thesis presents an improved forest optimization algorithm (IFOA) for multi-area dynamic economic dispatch. We can decrease fuel cost and emission by dispatch thermal power in different load levels. Multi-area dynamic economic dispatch has own constraints, which include power balance equation, the transmission tie line constraint, etc. Moreover hydroelectric generation is added in the test system. Thus, the multi-area dynamic economic dispatch problem with hydro units becomes more complicated. To demonstrate the effectiveness of the proposed method for solving multi-area dynamic economic dispatch with hydroelectric generation, the Taiwan power system is applied to test. The results of the proposed method are compared with other algorithms. The results show that the proposed method can get better solution.