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Environmentally constrained unit commitment in a deregulated electricity market.

机译：电力市场放松管制下的环境约束单位承诺。

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摘要

Deregulation of electricity industry brings about competitive markets and decentralized control of the generating units into the electricity industry. Decentralized control of generating units lets power producers (GENCOs) schedule their own units to participate in the market. At the same time, it also changes the way some operating constraints are perceived from the generation side that obligation to meet certain load demand and system requirements are no longer in place. In a deregulated environment, power producers participate in the market through bilateral contracts and/or selling its capacity through competitive bidding at the Power Exchange in order to maximize its profit. A new unit commitment algorithm, namely price-based unit commitment (PBUC), is therefore necessary for the GENCOs to schedule their units. As market price of power is unknown beforehand, a GENCO would need to predict the price to anticipate possible profit in order to make the unit commitment decision.; This dissertation proposes a new formulation for the PBUC problem along with the solution method that incorporates the stochastic nature of the market-clearing price (MCP) of power, and considers only constraints that are local to the GENCO itself including environmental constraints. A Lagrangian Relaxation (LR)-based method is proposed as solution technique that features a probabilistic dynamic programming in conjunction with Newton-Raphson method to solve the environmentally constrained price-based unit commitment (EC-PBUC) problem. The hourly MCP is modeled using a stochastic process of the marginal unit that clears the market at a particular hour, which depends on aggregate load and generating unit availabilities. Several test cases with increasing complexity are used to test the proposed solution method. Test results indicate the viability of the proposed technique.
机译：电力行业的放松管制带来了竞争性市场和对发电机组的分散控制进入了电力行业。发电机组的分散控制使电力生产商（GENCO）安排自己的发电机组参与市场。同时，它也改变了从发电侧来看一些操作约束的方式，即满足某些负载需求和系统要求的义务不再存在。在放松管制的环境中，电力生产商通过双边合同参与市场和/或通过在电力交易所通过竞争性招标出售其容量，以最大化其利润。因此，GENCO需要一种新的单位承诺算法，即基于价格的单位承诺（PBUC），以安排其单位。由于电力的市场价格是事先未知的，GENCO将需要预测价格以预测可能的利润，以便做出单位承诺决策。本文提出了一种针对PBUC问题的新公式，并提出了一种解决方法，该方法结合了电力市场清算价格（MCP）的随机性，并且只考虑了GENCO自身的局部约束，包括环境约束。提出了一种基于拉格朗日松弛（LR）的方法作为解决技术，该方法结合概率动态规划和牛顿-拉弗森（Newton-Raphson）方法来解决环境受限的基于价格的单位承诺（EC-PBUC）问题。每小时MCP使用边际单元的随机过程进行建模，该过程在特定时间为市场清算，这取决于总负荷和发电单元的可用性。越来越复杂的几个测试用例被用来测试所提出的解决方法。测试结果表明了该技术的可行性。

著录项

  • 作者

    Yasser, Ridha.;

  • 作者单位

    The University of Alabama.;

  • 授予单位 The University of Alabama.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 108 p.
  • 总页数 108
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

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