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Assessing the benefits of capacity payment, feed-in-tariff and time-of-use programme on long-term renewable energy sources integration

机译:评估能力支付的好处,对长期可再生能源整合的素质支付,课程和使用时间计划

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摘要

Recently, demand response programmes (DRPs) have captured great attention in electric power systems. DRPs such as time-of-use (ToU) programme can be efficiently employed in the power system planning to reform the long-term behaviour of the load demands. The composite generation expansion planning (GEP) and transmission expansion planning (TEP) known as composite GEP–TEP is of high significance in power systems to meet the future load demand of the system and also integrate renewable energy sources (RESs). In this regard, this study presents a dynamic optimisation framework for the composite GEP–TEP problem taking into consideration the ToU programme and also, the incentive-based and supportive programmes. Accordingly, the performances of the capacity payment and feed-in tariff mechanisms and the ToU programme in integrating RESs and reducing the total cost have been evaluated in this study. The problem has been formulated and solved as a standard two-stage mixed-integer linear programming model aimed at minimising the total costs. In this model, the ToU programme is applied and the results are fed into the expansion planning problem as the input. The proposed framework is simulated on the IEEE Reliability Test System to verify the effectiveness of the model and discuss the results obtained from implementing the mentioned mechanisms to support the RESs integration.
机译:最近,需求响应计划(DRPS)在电力系统中捕获了很大的关注。可以在电力系统规划中有效地采用DRP,如使用时间(TOU)程序,以改革负载需求的长期行为。称为复合GEP-TEP的复合发电扩展规划(GEP)和传输扩展规划(TEP)在电力系统方面具有高意义,以满足系统的未来负载需求,也集成了可再生能源(RESS)。在这方面,本研究表明,考虑到TOU项目,以及基于激励和支持性计划,为复合GEP-TEP问题提供了一种动态优化框架。因此,在本研究中评估了在整合RES集成和降低总成本的情况下的能力支付和饲料关税机制和TOU计划的性能。已经制定并解决了该问题,并作为标准的两级混合整数线性编程模型,旨在最大限度地降低总成本。在该模型中,应用了TOU程序,并将结果馈入扩展规划问题作为输入。在IEEE可靠性测试系统上模拟了所提出的框架,以验证模型的有效性,并讨论从实现所提到的机制来支持ress集成的结果。

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