- 學位論文
以免疫演算法進行多目標模糊參數之獨立電力系統短期發電排程
Multi-Objective Short Term Generation Scheduling of Autonomous System with Fuzzy Parameters Using Immune Algorithms
摘要
摘要 再生能源以風力發電及太陽能發電最具環保及分散式等優點，所以發展風力發電及太陽能發電對於環境之保護及再生能源之開發有重大意義。然而風力發電併入電力系統後會延伸許多問題，例如發電效益評估、併聯技術及調度排程等。 本論文將以風力發電系統、太陽能發電系統、柴油發電機組及充電電池組所組成一獨立發電系統，考慮風力及太陽光之氣候不確定因素進行上述之獨立發電系統短期排程，使柴油機組之成本與二氧化碳排放量最小，並滿足所有運轉限制式。本論文將風力及太陽光以模糊模型表示之，並以免疫演算法及處罰函數求解交談式模糊多目標非線性規劃問題。 本文以一獨立發電系統進行發電排程之測試，分別以免疫演算法配合多目標方法模擬風力及太陽能模糊化時之發電排程。由測試結果顯示，本研究所提出之方法對發電排程問題之求解具有相當之可行性。
並列摘要
Abstract Renewable energies including wind power and solar power have advantages, e.g., environmental protection. Developing the wind power generation and solar power generation has great significance on the protection of the environment and development of the renewable energy. However, the wind and solar power generation will cause a lot of problems after being incorporated into the power system, for example, estimating benefit of generation, commitment technique, and scheduling of power generation, etc. This thesis deals with independent generation system that includes wind power, solar power, diesel unit and rechargeable battery group. This thesis considers the uncertain factors of climate (e.g., wind and sunlight) and investigates the short-term generation scheduling of the above-mentioned independent generation system. The cost of diesel units and CO2 emission are minimized and all operation constrains are satisfied. The wind power and solar power was modeled by fuzzy set. The immune algorithm incorporated with penalty function was used to solve this interactive multi-objective nonlinear programming problems. An independent generation system was used as a test system for showing the applicability of the proposed method.