Flexiramp market design for real-time operations: Can it approach the stochastic optimization ideal?
Flexiramp market design for real-time operations: Can it approach the stochastic optimization ideal?
复制标题
针对实时操作的 Flexiramp 市场设计：它能接近随机优化理想吗？
DOI：
--
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
B. Hobbs
中科院分区：
文献类型：
--
作者：
Beibei Wang;B. Hobbs
一些ISO正在为“flexiramp”产品建立短期市场，以确保有足够的灵活能力在线管理在高度可再生能源一体化下预计净负荷波动性的增加。通过比较（1）具有灵活爬坡约束的确定性调度模型与（2）随机调度模型的解，我们评估了灵活爬坡市场设计的一些基本特征。我们的基本假设是，flexiramp产品的目的是提高预期的性能，在成本，价格和可靠性方面，ISO使用的确定性市场模型，随机模型是理想的。一个高度简化的市场被认为是成功（和失败）的灵活坡道市场的根本原因可以很容易地理解和复制。确定性和随机模型进行了比较，考虑调度，价格，结算和市场效率所造成的实际实现的净负荷。我们的初步结果说明了flexiramp产品的市场效率的贡献，如果flexiramp的最佳数量是安全的，但他们也清楚地表明，flexiramp约束是不足以产生最低预期成本的解决方案。因此，我们建议仔细设计的坡道产品市场，并最终过渡到使用完全随机派遣和承诺模型。
Some ISOs are creating short-run markets for “flexiramp” products to ensure that sufficient flexible capacity is on-line to manage increased volatility of net loads expected under high levels of renewable integration. We evaluate some basic features of flexiramp market designs by comparing the solutions of (1) a deterministic dispatch model with a flexible ramping constraint with (2) a stochastic dispatch model. Our fundamental assumption is that the purpose of the flexiramp product is to improve the expected performance, in terms of costs, prices, and reliability, of the deterministic market models used by ISOs, with a stochastic model being ideal. A highly simplified market is considered so that fundamental reasons for successes (and failures) of flexiramp markets can be readily understood and replicated. The deterministic and stochastic models are compared considering the dispatch, prices, settlements, and market efficiency resulting from the actual realizations of net load. Our preliminary results illustrate the contribution of the flexiramp product to market efficiency if the optimal amount of flexiramp is secured, but they also clearly show that flexiramp constraints are insufficient to produce the least expected cost solution. Accordingly, we recommend careful design of the ramp product market and, ultimately, transition to the use of full stochastic dispatch and commitment models.