Kilian Schindler, Napat Rujeerapaiboon, D. Kuhn, W. Wiesemann
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引用次数: 2
摘要
由于德国核电的逐步淘汰和光伏发电容量的稳步增长,欧洲电力远期和现货市场的高峰/非高峰价差正在下降。峰/非峰套利盈利能力的降低,迫使水电生产商在储备市场上恢复部分原有盈利能力。Schindler, Rujeerapaiboon, Kuhn, and Wiesemann在他们题为“多市场水电调度的计划者-交易者分解”的论文中提出了一个双层随机规划框架,该框架共同优化了现货市场和储备市场的交易策略。该模型忠实地考虑了电价、水流入和备用激活的不确定性,并确保水电生产商在任何情况下都能履行其市场承诺。由于在不同的时间尺度上揭示的各种不确定性来源会影响问题的目标函数和约束,该模型在数值上具有挑战性,作者提出了一种新的计划者-交易者分解和求解的信息限制。一项基于奥地利真实数据的案例研究揭示了同时参与现货和储备市场的显著好处。
A Planner-Trader Decomposition for Multimarket Hydro Scheduling
Multimarket Multireservoir Hydro Scheduling Peak/off-peak spreads on European electricity forward and spot markets are eroding due to the ongoing nuclear phaseout in Germany and the steady growth in photovoltaic capacity. The reduced profitability of peak/off-peak arbitrage forces hydropower producers to recover part of their original profitability on the reserve markets. In their paper titled “A Planner-Trader Decomposition for Multimarket Hydro Scheduling” Schindler, Rujeerapaiboon, Kuhn, and Wiesemann propose a bi-layer stochastic programming framework that jointly optimizes the trading strategies on the spot and reserve markets. The model faithfully accounts for uncertainty in electricity prices, water inflows, and reserve activations, and it ensures that the hydropower producers can fulfill their market commitments under any circumstances. The model is numerically challenging due to the various sources of uncertainty that are revealed at different time scales and that affect the problem's objective function and constraints, and the authors propose a new planner-trader decomposition and an information restriction for its solution. A case study based on real data from Austria reveals significant benefits of simultaneously participating in the spot and the reserve markets.
期刊介绍:
Military Operations Research is a peer-reviewed journal of high academic quality. The Journal publishes articles that describe operations research (OR) methodologies and theories used in key military and national security applications. Of particular interest are papers that present: Case studies showing innovative OR applications Apply OR to major policy issues Introduce interesting new problems areas Highlight education issues Document the history of military and national security OR.