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作 者:袁建党[1] 袁铁江[1] 晁勤[1] 李义岩[1]
机构地区:[1]新疆大学电气工程学院,新疆乌鲁木齐830047
出 处:《电力系统保护与控制》2011年第5期22-26,共5页Power System Protection and Control
基 金:新疆教育厅重点项目(XJEDU2009i04);新疆青年自然科学基金项目(2009211B04)
摘 要:考虑了清洁能源发电的低环境成本和较好的社会效益,提出了环境友好系数的概念,建立了机组的环境效益模型。构建了一种满足电力市场环境约束的,包含火电、水电、大规模风电等多种类型机组并网的电源规划模型。应用改进遗传算法对模型进行求解,并针对某区域电源规划进行了仿真计算。通过与传统电源规划方法的仿真计算结果进行比较,按模型规划,大大增加了风电等清洁能源发电机组的投入,充分体现了清洁能源发电的环境优势,同时使得国民经济总投入明显减少,取得了较好的经济效益。Considering the low environmental cost and good social benefits of clean-energy generation,the paper proposes the concept of the environment-friendly coefficient,establishes the environment benefits model of the units.On this basis,the paper constructes a generation expansion planning model incorporating lots of types of power generating units containing thermal power,hydropower and large-scale wind power,which meets the constraints in the environment of electricity market adequately.This model is solved with improved genetic algorithm and an area's generation expansion planning is simulated.Compared with the simulation results of the typical traditional planning methods,this model-based planning has greatly increased the input of the wind power and other clean energy generating units,reflected the environmental advantages of clean energy generation adequately,and made the total investment of the national economy much less and achieved a good economic result.
关 键 词:风力发电 清洁能源 电源规划 遗传算法 电力市场
分 类 号:TM715[电气工程—电力系统及自动化]
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