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Bidding strategy analysis of virtual power plant considering demand response and uncertainty of renewable energy

机译:考虑需求响应和可再生能源不确定性的虚拟电厂投标策略分析

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摘要

Due to the gradual exhaustion of petroleum-based energy resources and severe concern for environmental protection, renewable energy (RE) resources and demand response (DR) techniques have been wide deployed in power network. However, the insufficient management as well as technology bottleneck becomes the major obstacle in their further development. Based on the uniform clearing of electricity market, a centralised dispatch model of virtual power plant (VPP) is introduced to improve the competitiveness of distributed energy resources in electricity market. To neutralise the side effect of RE penetration, a bidding strategy optimisation model considering DR and the uncertainty of RE for VPP is proposed and numerical analysis is conducted to prove its applicability. In addition, scenario analysis method is applied to deal with the influence of elastic demand and potential risk, which are associated with utility users' consumption patterns and VPP's bidding preference, respectively. The application of distributed algorithm into multi-players' strategy optimisation problem accelerated the convergence of bidding procedure, which verifies the applicability and effectiveness of the proposed models. Furthermore, numerical case studies demonstrate the distinctive superiority of VPP in the integration and management of RE and DR resources, which in turn contribute to its advantage position in electricity market.
机译:由于基于石油的能源的逐渐枯竭和对环境保护的高度关注,可再生能源(RE)资源和需求响应(DR)技术已广泛应用于电力网络。但是,管理不足和技术瓶颈成为其进一步发展的主要障碍。在统一清理电力市场的基础上,引入了虚拟电厂集中调度模型,以提高分布式能源在电力市场中的竞争力。为了抵消RE渗透的副作用,提出了考虑DR和RE不确定性的VPP投标策略优化模型,并进行了数值分析,证明了其适用性。此外,应用情景分析方法来处理弹性需求和潜在风险的影响,这些需求分别与公用事业用户的消费模式和VPP的投标偏好相关。分布式算法在多玩家策略优化问题中的应用加速了竞标过程的收敛,验证了所提模型的适用性和有效性。此外,数值案例研究表明,VPP在可再生能源和可再生能源资源的集成和管理方面具有独特的优势,从而有助于其在电力市场中的优势地位。

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