| 引用本文: | 杨 帆,王育飞,薛 花.MCFC／GT混合发电系统的运行优化[J].电力自动化设备,2011,31(8): |
| YANG Fan,WANG Yufei,XUE Hua.Optimization of MCFC／GT hybrid power generation system[J].Electric Power Automation Equipment,2011,31(8): |
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| 摘要: |
| 以发电系统输出能够响应负荷变化且具有较高发电效率为目标，确定熔融碳酸盐燃料电池／燃气轮机（MCFC／GT）混合发电系统的动态优化目标函数。针对混合发电的复杂动态优化问题，将迭代思想和改进的遗传寻优操作相结合，设计改进的迭代遗传算法。该算法利用改进的遗传寻优操作在求解优化问题时简洁、便利、高效的特点，结合迭代法消除对控制变量离散化带来的误差，使优化指标和运行轨迹不断趋于最优。仿真实例证明了该方法的有效性。 |
| 关键词: 熔融碳酸盐燃料电池 燃气轮机 发电 迭代 遗传算法 优化 |
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| 基金项目:国家自然科学基金资助项目（51007053）；上海市教委重点学科建设项目（J51303）；上海高校选拔培养优秀青年教师科研专项基金项目（sdl09006） |
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| Optimization of MCFC／GT hybrid power generation system |
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YANG Fan, WANG Yufei, XUE Hua
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College of Electric Power and Automation Engineering，Shanghai University of Electric Power，Shanghai 200090，China
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| Abstract: |
| The objective function of MCFC／GT（Molten Carbonate Fuel Cell／Gas Turbine） hybrid system is to maintain higher power generation efficiency and follow power load. An algorithm combining genetic optimization and iteration is developed to dynamically optimize the hybrid power generation system. It utilizes the simple，feasible and efficient search operation of genetic optimization and integrates iteration to eliminate the error caused by the discretization of control variables，which makes the optimization index and operational profile gradually approach to the best value. Simulations confirm its validity. |
| Key words: molten carbonate fuel cell gas turbines electric power generation iterative methods genetic algorithms optimization |
