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作 者:段建民[1] 王志新[1] 王承民[1] 周勤勇[2] 韩家辉[2]
机构地区:[1]上海交通大学电子信息与电气工程学院,上海市闵行区200240 [2]中国电力科学研究院,北京市海淀区100192
出 处:《电网技术》2015年第1期11-15,共5页Power System Technology
基 金:国家863高科技基金重大项目(2011AA05AA103);国网公司科技项目(XT71-13-032)~~
摘 要:针对风电、光伏等可再生能源的快速发展,给电力系统规划带来的显著影响,将各种能源发电的碳减排效益引入电源规划之中。首先介绍了风、光、水、火等各种发电形式的碳排放强度,结合单位CO2处理成本,得到各种电源的碳处理成本。在此基础上考虑风电、光伏出力的间歇性、波动性,在保证电力电量平衡的前提下,以发电运行成本、CO2处理成本最小为电源规划的目标函数,建立考虑碳减排效益的电源规划模型。最后,以IEEE 30节点测试系统结合我国某地区实际数据构造算例,应用蚁群算法求解,给出了不同工况下的规划结果,验证了所提出的模型与方法的合理性与有效性。Rapid expansion of renewable energy sources such as wind power generation and photovoltaic (PV) generation brings significant impacts on power system planning, and to cope with it the carbon emission reduction benefits from renewable energy sources should be led into generation expansion planning. Firstly, the carbon emission intensities of wind power generation, PV generation, hydropower generation and thermal generation are presented, and based on the processing cost for unit mass of CO2 the carbon emission processing costs of various kinds of power generations can be obtained. On this basis, considering the intermittence and fluctuation of wind power generation and PV generation, under the premise of ensuing the balance of electric power and energy and taking the minimum power generation and operation cost and the minimum processing cost for CO2emission as objectives, a generation expansion planning model, in which the carbon emission reduction benefits are taken into account, is built. Finally, a study case, which combines IEEE 30-bus test system with actual output curves of wind power generation and PV generation as well as the load data in a certain region in China, is constructed and solved by ant colony algorithm, and the simulation results show that the proposed model and method are reasonable and effective.
分 类 号:TM715[电气工程—电力系统及自动化]
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