论文标题
澳大利亚电力市场的极端依赖
Extremal Dependence in Australian Electricity Markets
论文作者
论文摘要
电力市场比其他可比的金融或商品市场更加波动。极端的价格结果及其之间的传播对市场参与者构成了重大风险。我们研究了澳大利亚国家电力市场(NEM)中极高的现货价格结果之间的依赖性。我们在单变量和多变量环境中研究了极端依赖性,并应用了Davis和Mikosch(2009)和Davis等人开发的极端图。 (2011,2012)。我们衡量各个区域市场中极端价格的持久性以及不同地区的极端价格传播。有了5分钟和30分钟的价格数据,我们发现,在间歇性可再生能源中份额较高的市场中,极端价格更加持久。我们还发现,在更集中的市场中,极端价格的持久性更为普遍。我们还显示了不同地区之间的极大价格依赖性,这通常在物理互连的市场之间更强。极端价格的依赖性结构显示出不对称和时间依赖的模式。在应用极端图时,我们进一步显示了澳大利亚能源市场委员会2016年的重构规则的有效性,以减少通常被认为是战略竞标的孤立价格峰值的份额。我们的结果为市场参与者的套期保值和旨在通过指导市场参与者的交易行为以及改善网络互连的政策结果的决策者提供了重要信息。
Electricity markets are significantly more volatile than other comparable financial or commodity markets. Extreme price outcomes and their transmission between regions pose significant risks for market participants. We examine the dependence between extreme spot price outcomes in the Australian National Electricity Market (NEM). We investigate extremal dependence both in a univariate and multivariate setting, applying the extremogram developed by Davis and Mikosch (2009) and Davis et al. (2011, 2012). We measure the persistence of extreme prices within individual regional markets and the transmission of extreme prices across different regions. With both 5-minute and 30-minute price data, we find that extreme prices are more persistent in the market with a higher share of intermittent renewable energy. We also find that persistence of extreme prices is more prevalent in more concentrated markets. We also show significant extremal price dependence between different regions, which is typically stronger between physically interconnected markets. The dependence structure of extreme prices shows asymmetric and time-dependent patterns. Applying the extremograms, we further show the effectiveness of the Australian Energy Market Commission's 2016 rebidding rule with respect to reducing the share of isolated price spikes that are often considered as an indication of strategic bidding. Our results provide important information for hedging decisions of market participants and for policy makers who aim to reduce market volatility and extreme price outcomes through effective regulations which guide the trading behaviour of market participants as well as improved network interconnections.