摘要
光伏发电不消耗化石能源,无碳排放,是电力工业低碳化的有效途径。光伏发电出力具有很大的随机性与间歇性,大容量接入给电力调度带来了新的不确定因素。文中基于低碳经济理念,将碳交易机制引入电力系统经济调度;建立了太阳辐照度和光伏发电出力的概率分布模型,并采用基于Kantorovich距离的场景削减技术对光伏发电出力场景进行有效削减;在此基础上构建了考虑大规模光伏电源接入和CO2排放经济价值的电力系统优化调度模型,模型兼顾了系统运行的经济性、低碳性和可靠性。利用该模型对10机系统进行了算例仿真,结果验证了所提出模型的合理性和有效性。
Photovoltaic generation does not consume fossil fuels and is free from carbon emission.Developing photovoltaic generation is an effective way of developing a low carbon electricity system.However,with its considerable randomness and intermittence,it brings new uncertainty to power system dispatch.This paper introduces the carbon trading mechanism to power system dispatch based on the concept of low carbon economy.A probability distribution model of solar irradiance and photovoltaic generation output is developed,and scenario reduction technology based on Kantorovich distance is used to reduce the photovoltaic generation output scenarios.On this basis,a model for power system optimal dispatch integrated with large scale photovoltaic generation and considering carbon trading cost is proposed.It has the advantage of balancing the economy, low carbon emission,and reliability of power system operation.A ten-unit test system is simulated via the proposed model to prove its rationality and effectiveness.
出处
《电力系统自动化》
EI
CSCD
北大核心
2014年第17期91-97,共7页
Automation of Electric Power Systems
基金
国家自然科学基金青年基金资助项目(51207025)
国家重点基础研究发展计划(973计划)资助项目(2012CB215102)
华中科技大学自主创新基金资助项目(2013TS057)~~
关键词
低碳经济
光伏发电
碳交易机制
优化调度
low carbon economy
photovoltaic generation
carbon trading mechanism
optimal dispatch
