Security-Constrained Economic Operation of Power Systems Using Hybrid Differential Evolution Algorithm

碩士 === 國立中正大學 === 電機工程研究所 === 92 === With the trend of deregulation of electric powe industries, the demand of quality of electricity supply rises.The electric power utility always pursues stable and reliable electricity supply to satisfy the requirements of consumers in a way of economic and secure...

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Bibliographic Details
Main Authors: Chi-Huai Lin, 林淇淮
Other Authors: Su, Ching -Tzong
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/72823003419374894860
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Summary:碩士 === 國立中正大學 === 電機工程研究所 === 92 === With the trend of deregulation of electric powe industries, the demand of quality of electricity supply rises.The electric power utility always pursues stable and reliable electricity supply to satisfy the requirements of consumers in a way of economic and secure operation for the power system.This thesis is an attempt to explore the security-constrained economic operation of power systems. The problem of security-constrained economic operation of power systems is an optimization problem, which looks for both the economic power generation and the appropriate reactive power compensation. Real power outputs of generation units are economically dispatched to reach a minimum generation cost, whereas reactive power outputs of generation units and capacitor banks are appropriately dispatched to compensate the reactive power requirement of the system and control the bus voltage as well as line flows. The problem under study is an optimization problem and is to be solved using the hybrid differential evolution (HDE) method. HDE is computationally simple, which provides robust-search capability in a huge solution space. It employs two additional operations than the previous differential evolution (DE), these two operations are the acceleration technique and the migration technique. The acceleration technique can increase the convergence speed and the migration technique can avoid falling into a local solution and achieve the optimal solution. Application of the proposed approach is demonstrated and verified using two application systems including a 9-bus and a 26-bus systems.