Optimal Power Dispatch and CCHP Assessment of Microgrid System Using Improved Bee Swarm Optimization

• Main Authors: Hung-chen Wu, 吳鴻辰
• Other Authors: Whei-Min Lin
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/56261925753739047305

碩士 === 國立中山大學 === 電機工程學系研究所 === 103 === Under the guidance of international energy event occurred and international agreements, so Energy Saving and Carbon Reduction have already become an important issue in every county. However, the advances in green power not only provided alternative programs, but also reduced environmental pollution when using traditional way to produce energy. As increasing those unstable supply of green power. It must do some impact on traditional power grid. Such as power quality, system reliability, cost of power, etc. Therefore a microgrid which can quick react and dispatch the power demand is taken seriously gradually. How to build a microgrid with quick reaction and enhance power efficiency is an important issue currently. This thesis combined microturbines, wind power, solar power, power storage system, and combined cooling, heating and power(CCHP) to form a microgrid system. Then applying this design into Penghu power system, and reach the function of demand response by power storage system. For minimum cost of generating power this objective. Using combine fuzzy rule into Bee Swarm Optimization (BSO) to solve the problem of generation unit commitment (UC) and economic dispatch(ED). The UC and ED problem must satisfy the constraints of load demand, generating limits, ramp rate limits, and also the minimum up/down time of generators, and capacity of power storage system, etc. For avoid the local optimality problem, this thesis proposed the utilization of combined Probability Selection Fuzzy Rule into Self-Adaption Enhanced Bee Swarm Optimization (SAEBSO) method, which can quickly reach the optimal solution with better performance and accuracy.