Market-Based Generation and Transmission Planning With Uncertainties
Market-Based Generation and Transmission Planning With Uncertainties
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DOI：
10.1109/tpwrs.2009.2022982
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发表时间：
2009-06
影响因子：
6.6
通讯作者：
J. Roh;M. Shahidehpour;Lei Wu
中科院分区：
文献类型：
--
作者：
J. Roh;M. Shahidehpour;Lei Wu
本文提出了一种竞争性电力市场环境下的发输电规划随机协调模型。采用蒙特卡罗模拟方法，考虑了机组和输电线路的随机停运以及长期负荷预测的不准确性。为了减少大量规划场景的计算负担，引入了场景缩减技术。该模型假设容量支付机制和联合能源和传输市场的投资者的成本回收。该方法模拟了单个市场参与者和ISO的决策行为。这是一个迭代过程，用于模拟GENCO、TRANSCO和ISO之间的相互作用。迭代过程可以由ISO基于预先指定的停止标准来终止。算例分析说明了随机方法在考虑不确定性的发输电协调规划问题中的应用。
This paper presents a stochastic coordination of generation and transmission expansion planning model in a competitive electricity market. The Monte Carlo simulation method is applied to consider random outages of generating units and transmission lines as well as inaccuracies in the long-term load forecasting. The scenario reduction technique is introduced for reducing the computational burden of a large number of planning scenarios. The proposed model assumes a capacity payment mechanism and a joint energy and transmission market for investors' costs recovery. The proposed approach simulates the decision making behavior of individual market participants and the ISO. It is an iterative process for simulating the interactions among GENCOs, TRANSCOs and ISO. The iterative process might be terminated by the ISO based on a pre-specified stopping criterion. The case studies illustrate the applications of proposed stochastic method in a coordinated generation and transmission planning problem when considering uncertainties.