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Integrated resource expansion planning of wind integrated power systems considering demand response programmes

机译:考虑需求响应计划的风集电电力系统的综合资源扩展规划

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摘要

Here, an optimisation framework is proposed for integrated resource expansion planning (IREP) including conventional generation units, wind generation units, and transmission lines while taking into account the role of demand response program (DRP) aggregators. This problem is a bi-level optimisation problem. In the upper-level problem, the objective function is to maximise the profit for each resource, that is, the generation company (GENCO), wind generation company (WINDCO), and transmission company (TRANSCO) as well as the DRP aggregator. Also, the lower-level problem considers a market model with the participation of private GENCOs, WINDCOs, TRANSCOs, and DRP aggregators. The lower-level problem minimises energy cost subject to AC power flow (PF) equations, power network limitations, pollution constraint, GENCO, WINDCO, TRANSCO constraints, and technical limitations of DRPs. Here, the lower-level problem is non-linear and non-convex. Accordingly, to facilitate the solution of the proposed bi-level optimisation problem, a linear model is proposed. Then, the proposed bilevel optimisation problem is converted into an integrated single-level one using the Karush-Kuhn-Tucker (KKT) conditions. Eventually, a mixed-integer linear programming (MILP) model is proposed. The proposed method is applied to the IEEE 6-bus and the IEEE 30-bus test systems, and finally, the capabilities of the proposed scheme are evaluated.
机译:这里,提出了一种用于集成资源扩展规划(IREP)的优化框架,包括传统的生成单元,风发单位和传输线,同时考虑到需求响应程序(DRP)聚合器的作用。这个问题是双级优化问题。在上层问题中,目标职能是最大化每个资源的利润,即代公司(Genco),风发业公司(Windco)和传输公司(Transco)以及DRP聚合器。此外,较低级别的问题考虑了私有Gencos,Windcos,Transcos和DRP聚合器的参与的市场模型。较低级别的问题最大限度地减少了AC电力流量(PF)方程,电网限制,污染限制,Genco,WinCO,Transco约束以及DRP的技术限制的能源成本最小化。这里,较低级别的问题是非线性和非凸。因此,为了促进所提出的双级优化问题的解决方案,提出了一种线性模型。然后,使用Karush-Kuhn-Tucker(KKT)条件将所提出的彼此优化问题转换为集成的单级。最终,提出了一种混合整数线性编程(MILP)模型。所提出的方法应用于IEEE 6总线和IEEE 30总线测试系统,最后,评估所提出的方案的能力。

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