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Development of Energy and Reserve Pre-dispatch and Re-dispatch Models for Real-time Price Risk and Reliability Assessment

机译:为实时价格风险和可靠性评估开发能源和储备预调度和重新调度模型

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摘要

In the future energy framework of European Union and other countries, renewable energy plays an important role tackling the problems of the climate change and security of energy supply. The share of fluctuating and less predictable renewable power production will increase significantly the needs of securing proper balancing between generation and demand. The high penetration of renewable energy sources will also increase the burden of system operator for maintaining system reliabilities. However the current strategy of reliability management developed for conventional power systems and existing electricity market design may not cope with the future challenges the power system faces. The development of smart grid will enablepower system scheduling and the electricity market to operate in a shorter time horizon for better integrating renewable energy sources into power systems. This paper presents an electricity market scheme including a multi-period energy and reserve predispatch model and an energy re-dispatch model for real time operation considering their coupling with the day-ahead market, respectively. The multi-period energy and reserve pre-dispatch model is formulated using the multi-period optimal power flow technique, which pre-schedules the generation output for satisfying the expected demand and determines up and down spinning reserve for each time interval in the operational hour. The ex-ante electricity prices and reserve capacity prices are alsoevaluated correspondingly. During the real time operation, the energy re-dispatch model is used for contingency management and providing balancing services based on the results of the energy and reserve pre-dispatch model. The energy re-dispatch model is formulated as a single-period AC OPF model, which is used to determine generation re-dispatch, load curtailment as well as real-time electricity prices. The modified IEEE-RTS has been analyzed to illustrate the techniques. The proposed market scheme coupled with a contingency analysis methodology has been used to evaluate both real-time electricity price risk and short term reliabilities during the operational hour in the new environment.
机译:在欧盟和其他国家的未来能源框架中,可再生能源在解决气候变化和能源供应安全方面发挥着重要作用。波动性和可预测性差的可再生能源发电量所占的份额将大大增加确保发电量和需求量之间达到适当平衡的需求。可再生能源的高渗透率也将增加系统运营商维护系统可靠性的负担。但是,为常规电力系统和现有电力市场设计制定的当前可靠性管理策略可能无法应对电力系统面临的未来挑战。智能电网的发展将使电力系统调度和电力市场在较短的时间内运行,以更好地将可再生能源整合到电力系统中。本文提出了一个电力市场计划,该计划分别考虑了与日前市场的耦合,包括一个多时期的能源和储备预调度模型以及一个用于实时运行的能源重新调度模型。使用多周期最佳潮流技术制定了多周期能量和储备预调度模型,该模型可预先计划发电量以满足期望的需求,并确定营业时间内每个时间间隔的上下旋转储备。相应地评估了事前电价和备用容量价格。在实时运行中,能量重新调度模型用于应急管理,并根据能量和储备预调度模型的结果提供平衡服务。能源重新分配模型被公式化为单周期AC OPF模型,用于确定发电重新分配,削减负荷以及实时电价。已对修改后的IEEE-RTS进行了分析,以说明技术。拟议的市场计划与权变分析方法相结合,已被用于评估新环境下运营时间内的实时电价风险和短期可靠性。

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