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Optimal Control of Commercial Office Battery Systems, and Grid Integrated Energy Resources on Distribution Networks

机译：商业办公电池系统的最佳控制，以及配电网的网格综合能源

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摘要

The proliferation of new sensing and actuation technologies presents new opportunities for enhanced supervision, optimization, and control of energy systems. In the commercial office environment, the use of smart power strips, uninterruptible power supplies, and advanced building energy management systems is growing as a means to implement control of energy efficiency measures and demand response. In electricity distribution networks, phasor measurement units and inverters are enabling utility operators to monitor and manage distribution systems more effectively. The physics or operational constraints of systems within the commercial office environment or distribution networks are often nonlinear or nonconvex, and thus difficult to incorporate into optimization programs. This dissertation presents research into modeling and optimal control of two nonlinear energy systems.;At the commercial office scale, we discuss the development and implementation of optimal control of plug loads and office scale battery storage. Building upon successes in optimal control of plug loads, we propose a model predictive controller (MPC) for the incorporation of battery storage. We derive a model of an off the shelf battery storage system through experimental data, and discuss extensions to allow controllable charging. We investigate two methods to solve the nonlinear and binary MPC, and simulations show the promise dynamic programming method.;At the distribution network scale, we discuss power flow models for optimization of grid distributed energy resources (DER), and techniques for solving nonlinear optimal power flow (OPF) problems. First, we study semidefinite programming as a method for solving nonlinear OPFs for control of voltage phasors. Simulation results motivate the development of novel models. We then derive a linearized unbalanced power flow model (LUPFM) for use in convex optimal power flow (OPF) formulations. The LUPFM builds upon previous work by adding a relationship between voltage phasor and complex power flow. A study into the LUPFM accuracy shows its fidelity for benchmark networks. We discuss two applications of the LUPFM. The first is balancing of voltage magnitude on a distribution network, and simulations are successful for both radial and mesh networks. The second application is minimization of voltage magnitude and angle difference for switching operations. Simulations show the success and potential of the LUPFM for OPF control of voltage phasors.
机译：新的传感和驱动技术的激增为增强能源系统的监管，优化和控制提供了新的机遇。在商业办公环境中，越来越多地使用智能配电盘，不间断电源和先进的建筑能源管理系统，以实现对节能措施和需求响应的控制。在配电网络中，相量测量单元和逆变器使公用事业运营商能够更有效地监控和管理配电系统。商业办公环境或配电网络中系统的物理或操作约束通常是非线性的或非凸的，因此难以纳入优化程序。本文对两种非线性能源系统的建模和最优控制进行了研究。在商业办公规模下，我们讨论了插头负载和办公规模电池存储的最优控制的开发与实现。基于对插头负载进行最佳控制的成功经验，我们提出了用于电池存储的模型预测控制器（MPC）。我们通过实验数据得出一个现成的电池存储系统模型，并讨论扩展以实现可控充电。我们研究了两种解决非线性和二进制MPC的方法，并通过仿真显示了有希望的动态规划方法。在配电网规模上，我们讨论了用于优化电网分布式能源（DER）的潮流模型，以及解决非线性最优方法。潮流（OPF）问题。首先，我们研究半定规划作为一种解决非线性OPF的方法，以控制电压相量。仿真结果激励了新型模型的开发。然后，我们导出线性化不平衡潮流模型（LUPFM），用于凸型最优潮流（OPF）公式。 LUPFM通过在以前的工作基础上增加电压相量和复杂功率流之间的关系。对LUPFM准确性的研究表明其对于基准网络的保真度。我们讨论了LUPFM的两种应用。首先是配电网络上电压幅度的平衡，径向网络和网状网络的仿真均成功。第二个应用是最小化开关操作的电压幅值和角度差。仿真显示了LUPFM在电压相量的OPF控制方面的成功和潜力。

著录项

  • 作者

    Sankur, Michael Derin.;

  • 作者单位

    University of California, Berkeley.;

  • 授予单位 University of California, Berkeley.;
  • 学科 Mechanical engineering.
  • 学位 Ph.D.
  • 年度 2017
  • 页码 136 p.
  • 总页数 136
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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