摘要
在调度模型中考虑风电功率不确定性的影响时,需要计及高估及低估风电的代价,优化问题的目标函数中将含有不可解析微分的项,无法基于经典的等微增率准则对该静态经济调度问题进行求解。通常使用的现代优化算法在实际应用中具有一定的工程局限性。对此,文中提出使用一种近似函数来模拟服从正态分布的风电功率预测误差,使该静态经济调度优化目标函数可以得到解析的微分表达式,进而可用等微增率准则求解含风电功率不确定性的经济调度问题。算例分析结果表明,该算法的计算结果符合一般的经济学原理,且能够较好地反映不同经济政策因素对系统经济调度结果的影响。
If the uncertainty of wind power is taken into account in the static economic dispatch（SED） model,the traditional equal incremental cost criterion（EICC） will be ineffective.The reason is that the objective function will include the items of overestimation and underestimation costs which do not have analytical differential.Modern optimization algorithms are commonly used but restricted in practical projects.To deal with this problem,an approximate function is used to simulate wind power forecasted errors which obeys the normal distribution law.Therefore,the analytical differential of the objective function can be obtained and the SED problem incorporating wind power uncertainty can be solved with the EICC method.The novel EICC method provides an analytical way to find the effects of each type of factors on scheduled wind power,pollution emissions and system operating costs.Case study results meet the principle of economics and show the effects of economic and policy factors on the economic dispatch effectively.The method proposed can support the policy-making of renewable energy from a macro level.
出处
《电力系统自动化》
EI
CSCD
北大核心
2011年第22期125-130,共6页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(50823001,50977050)~~
关键词
静态经济调度
风力发电
功率预测
正态分布近似公式
等微增率准则
static economic dispatch（SED）
wind power
power forecast
normal distribution approximate function
equal incremental cost criterion（EICC）
