考虑需求响应虚拟机组和碳交易的含风电电力系统优化调度

发布时间：2018-07-03 17:17

本文选题：智能电网 + 低碳电力　；参考：《电力系统自动化》2017年15期

【摘要】：在智能电网和低碳电力的背景下,提出一种考虑需求响应虚拟机组和碳交易的含风电电力系统优化调度模型。首先,将需求侧资源分为可调度资源和不可调度资源,在可调度资源中分别建立了价格需求响应虚拟机组和激励需求响应虚拟机组模型,并分析了两种虚拟机组的运行特点;其次,在优化调度模型中引入碳交易,并提出系统碳减排目标的概念及阶梯型碳排放权价格,分析其对碳排放量的制约情况。在此基础上,引入功率平衡约束、机组出力及爬坡约束、虚拟机组运行约束等,建立了以碳交易成本、火电机组发电成本和虚拟机组运行成本为目标的新型低碳经济调度模型,采用细菌群体趋药性(BCC)算法对模型进行求解。通过仿真算例对不同场景下系统的风电消纳情况和系统的综合运行成本进行了分析。算例结果验证了模型及求解方法的可行性及优越性。
[Abstract]:Under the background of smart grid and low carbon power, an optimal dispatching model for wind power system with demand response virtual machine group and carbon transaction is proposed. Firstly, the demand-side resources are divided into schedulable resources and non-schedulable resources. The models of price demand response virtual machine group and incentive demand response virtual machine group are established in the schedulable resources, and the running characteristics of the two kinds of virtual machine groups are analyzed. Secondly, carbon trading is introduced into the optimal scheduling model, and the concept of system carbon emission reduction target and the price of stepped carbon emission rights are proposed to analyze the constraints on carbon emissions. On the basis of this, a new low carbon economic dispatching model with carbon transaction cost, thermal power generation cost and virtual unit operation cost is established by introducing power balance constraint, generating force and climbing constraint, virtual unit operation constraint and so on. The bacterial population chemotaxis (BCC) algorithm was used to solve the model. The wind power consumption and the comprehensive operating cost of the system under different scenarios are analyzed by a simulation example. An example is given to verify the feasibility and superiority of the model and the solving method.
【作者单位】：河北省电力电子节能与传动控制重点实验室(燕山大学);
【基金】：国家自然科学基金资助项目(61374098) 高等学校博士学科点专项科研基金资助项目(20131333110017)~~
【分类号】：TM73

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