节点文献

优化旋转备用配置的机组组合研究

Studies on Unit Commitment Considering Spinning Reserve Optimization

【作者】 刘宁宁

【导师】 张利;

【作者基本信息】 山东大学 , 电力系统及其自动化, 2010, 硕士

【摘要】 备用配置是系统抵御风险,提高运行可靠性的重要手段,也是系统运行安全与经济协调决策的问题。随着电力工业的发展和市场机制的引入,系统运行过程中的不确定因素不断增多,更加凸显备用配置的重要性,本文在这一背景下选择此课题进行深入研究,有重要的理论意义和现实价值。在国内外研究成果的基础上,针对系统运行过程中不确定因素的处理,本文将概率优化理论引入到机组组合和旋转备用配置过程中,力求在系统运行安全与经济协调思想的指导下,实现电能与备用的同步优化以及摆脱人为决策的弊端,实现备用的自动配置,达到在机组组合的同时优化旋转备用的目的。首先,本文介绍了一种实用的机组组合线性混合整数模型及求解方法。该方法通过对原机组组合模型中非线性目标函数和约束条件进行线性化处理,将之转化为线性混合整数模型,并利用成熟的商业优化软件进行求解。该方法可以方便地对机组组合模型进行扩充,使研究人员专注于模型研究而不用担心算法问题。随后,就机组组合过程中运行风险与旋转备用优化配置间关系的问题进行研究,提出了计及用户停电损失的机组组合方法。将备用不足造成的用户停电损失加入到机组组合目标中,通过成本和风险在目标中的相互牵制,实现系统运行安全与经济的协调,能够自动配置适宜的备用。在评估用户期望停电损失时,将电量不足期望值(Expected Energy not Severed, EENS)解析表达成机组状态、出力及备用的函数,从而将风险与机组组合有机关联,实现备用配置和机组组合求解完整一体的优化决策。在此基础上,提出了基于多场景的概率机组组合方法。该方法将系统的运行过程分为多个场景,把计及用户停电损失的思想应用于每个场景,以场景发生的概率协调系统在各场景下的调度决策,并以旋转备用作为正常和事故场景之间机组的调整限制,因此通过安全与经济的协调,能够在机组组合的过程中自动配置合适的备用。同时该方法将网络安全约束和事故后机组组合策略的再调整纳入到模型中,保证系统在各场景下的决策方案均不会造成线路过载。最后,将基于多场景的概率机组组合方法应用于含风电场电力系统。通过对风电预测误差进行概率表达,建立基于多场景的含风电场概率机组组合模型,能够自动为风电出力的波动配置适宜的备用,且模型中考虑了网络安全约束对机组组合和备用决策的影响。在所建模型基础上,从风电并网经济价值分析的角度,提出了一种以风电并网后系统期望成本最小为目标,确定节点最优经济接入风电功率的方法,对风电的调度和规划具有指导意义。

【Abstract】 Spinning reserve (SR) is one of the most important resources used by system operators to maintain system security and improve operational reliability, which is also a decision-making problem coordinating system operation security and economy. With the development of electrical industry and introduction of market mechanism, constantly increasing uncertainties during system operation process have highlighted the importance of SR. It’s obviously meaningful for this thesis to choose this subject for deep research.Based on previous achievement at home and abroad, the thesis focuses on uncertainties in system operation process and introduces probability optimization theory to unit commitment and SR optimization. To make unit commitment and SR optimization more intelligent and reasonable, the thesis strives to achieve coordination of system operation security and economy in unit commitment, simultaneous optimization of generation and SR requirement, as well as shedding off the drawback of human decision.Firstly, this thesis introduces a practical mixed-integer linear model of unit commitment and its sloving strategy. The nonlinear objective fuction and constraints of unit commitment is transformed into linear form, and therefore the linear form can be sloved by large-scale commercial optimization software. This method can conveniently make extension of unit commitment, and make researchers consantrated on unit commitment model but never mind the sloving algorithm.Then, based on the research on relationship between system operation risk and SR requirement, a unit commitment model considering expected customer interruption cost (ECOST) is proposed. The proposed model which adds ECOST into unit commitment objective function, can automatically determine optimal SR capacity by making compromise between system operation cost and ECOST. System expected energy not supplied (EENS) is expressed and simplified by unit commitment variables when assess ECOST, so as to achieve simultaneous optimization of generation and SR requirement in unit commitment.Based on above, a probabilistic unit commitment model based on multi-scenario technique is proposed. In the proposed model, system operation process is represented by several scenarios. ECOST under every scenario is considered in unit commitment, system cost and operation risk under every scenario is coordinated by each scenario occurrence probability. Network security constraints and readjustments of unit commitment after contingencies are included in the model, so as to guarantee the decision plain doesn’t violate transmission limits of lines in all scenarios.At last, probabilistic unit commitment model based on multi-scenario technique is applied to power system with wind power generation. By probabilistic expression of wind power forecast error, probabilistic unit commitment model of power system with wind power generation based on multi-scenario technique is established, and SR requirement according to wind power fluctuation is automatically optimized. Network security constraints are included in the model to consider its impact on unit commitment and SR optimization. From the view of wind power economic value analysis, a new method to determine optimal wind power penetration in each bus is presented based on the proposed unit commitment model. The method which aims at minimizing system expected cost can determine optimal economic wind power penetration in each bus and do have significant meaning in scheduling and planning of wind power.

  • 【网络出版投稿人】 山东大学
  • 【网络出版年期】2010年 09期
  • 【分类号】TM614;TM732
  • 【被引频次】11
  • 【下载频次】703
  • 攻读期成果
节点文献中: 

本文链接的文献网络图示:

本文的引文网络