Application of Shuffled Frog Leaping Algorithm for the Power Dispatch of Mircogrid

• Main Authors: Pei-Yu Li, 李佩諭
• Other Authors: Ming-Tang Tsai
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/552jyf

碩士 === 正修科技大學 === 電機工程研究所 === 106 === This thesis performs the economic dispatch and security dispatch for smart micro-grids by considering the renewable energy and battery storage system. The operating models including wind power generation, solar power generation, battery storage systems, combined cooling, heating, and power(CCHP), etc., are first determined. Based on all technical constraints, the optimal dispatch model of mixed-power generations is formulated by considering the charging/dis-charging scheduling of battery storage systems. Secondly, this thesis uses the local search of frogs of various groups to mix each sub-group with each other. The Shuffled Frog Leaping Algorithm(SFLA) is proposed to solve the dispatch model of mixed-power generations. SFLA is used to find the minimal total cost and generations of units under the operational and system’s constraints. The SFLA is based on the traditional Frog Leaping Algorithm (FLA). The local search of the frog subgroups and the global communication of all sub-families are introduced to improve the behavior patterns of each frog group and increase the search ability and stability of the leapfrog. The effectiveness and efficiency of the SLFA are demonstrated by using Penghu MG System. The simulation results are compared with FLA to prove the accuracy and robustness of SFLA. Through this thesis’s performing and proving, it provides a good direction in a Micorgrid to perform the mix-power economic dispatch and energy saving. This thesis also provides a better guide for the frame and planning of Micorgrid to meet the load growth and promoted the competed ability of power industries.