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Integration of electric energy storage into power systems with renewable energy resources.

机译:将电能存储与具有可再生能源的电力系统集成。

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摘要

This dissertation investigates the distribution and transmission systems reliability and economic impact of energy storage and renewable energy integration. The reliability and economy evaluation framework is presented. Novel operation strategies of energy storage and renewable energy are proposed. The method for optimizing the energy storage sizing and operation strategy in order to achieve optimal reliability and economy level is developed.;The objectives of the movement towards the smart grid include making the power systems more reliable and economically efficient. The rapid development of the large scale energy storage technology makes it an excellent candidate in achieving these goals. A novel Model Predictive Control (MPC)-based operation strategy is proposed to optimally manage the charging and discharging operation of energy storage in order to minimize the energy purchasing cost for a distribution system load aggregator in power markets. Different operation strategies of energy storage have different reliability and economic impact on power systems. Simulation results illustrate the importance of the energy storage operation strategies. A hybrid operation strategy which combines the MPC-based operation strategy and the standby backup operation strategy is proposed to flexibly adjust the reliability and economic improvement brought by energy storage. A particle swarm optimization approach is developed to determine the optimal energy storage sizing and operation strategy while maximizing reliability and economic improvement. A reliability and economy assessment framework based on sequential Monte Carlo method integrated with the operation strategies is proposed. The impact on the transmission systems reliability brought by energy storage and renewable energy with the proposed operation strategies is investigated. Case studies are conducted to demonstrate the effectiveness of the proposed operation strategies, optimization approach, and the reliability and economy evaluation framework. Insights into how energy storage and renewable energy affect power system reliability and economy are obtained.
机译:本文研究了储能和可再生能源整合的输配电系统的可靠性和经济影响。提出了可靠性和经济性评估框架。提出了储能和可再生能源的新型运行策略。提出了优化储能规模和运行策略以达到最佳可靠性和经济水平的方法。走向智能电网的目标包括使电力系统更加可靠和经济高效。大规模储能技术的迅速发展使其成为实现这些目标的极佳候选者。提出了一种基于模型预测控制(MPC)的新型运行策略,以优化管理储能装置的充电和放电操作,以最大程度地降低电力市场中配电系统负荷聚合器的能源购买成本。能量存储的不同运行策略对电力系统具有不同的可靠性和经济影响。仿真结果说明了储能运行策略的重要性。提出了一种混合操作策略,将基于MPC的操作策略和备用备份操作策略相结合,以灵活地调整储能带来的可靠性和经济性的提高。开发了一种粒子群优化方法来确定最佳的能量存储大小和操作策略,同时最大程度地提高可靠性和经济性。提出了一种基于顺序蒙特卡洛方法并结合运行策略的可靠性和经济性评估框架。研究了所提出的运行策略对储能和可再生能源对输电系统可靠性的影响。通过案例研究来证明所提出的运营策略,优化方法以及可靠性和经济性评估框架的有效性。深入了解了储能和可再生能源如何影响电力系统的可靠性和经济性。

著录项

  • 作者

    Xu, Yixing.;

  • 作者单位

    Texas A&M University.;

  • 授予单位 Texas A&M University.;
  • 学科 Alternative Energy.;Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 186 p.
  • 总页数 186
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:43:19

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