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首页> 外文期刊>Sustainable Energy Technologies and Assessments >A hydrothermal coordination model for electricity markets: theory and practice in the case of the Greek electricity market regulatory framework
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A hydrothermal coordination model for electricity markets: theory and practice in the case of the Greek electricity market regulatory framework

机译：电力市场的热液协调模型：希腊电力市场监管框架下的理论与实践

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摘要

The generation portfolio of the Greek Mainland Electricity System mainly consists of various types of thermoelectric (using fossil fuels: natural gas and lignite) as well as hydroelectric units (impoundment, pumped storage, run of river). Regarding their fuel consumption, thermoelectric units have a large variable cost compared to hydroelectric, which is almost zero, as derived by their advantage of fueling their operation with water. Moreover, as fossil fuel price variation does not correlate to water's value a significant trade-off is created. Due to that trade-off the use of energy sources (natural gas, lignite or water), without consideration of cost minimization, may always lead to waste and to significant losses. Demand's variation along with its sudden peaks, as well as the uncertainty of water availability, impose the use of a specialized mathematical model for the optimal handling of the generation portfolio. Load cover should be achieved by a non-constant portfolio over time, of hydro and thermals, coordinated by an algorithm in such a way as to achieve cost minimization. The main target of such a model is the normality of operation, safeguarded by specific technical, operational and economic constraints fulfilling the objective of cost minimization. Optimization of this type can be characterized as hydrothermal coordination problem, which in our case takes the form of a Mixed Integer Programming Model. The innovative character of this model, is that in a time efficient way, it finds the optimal solution, while keeping complexity at very low level, forcing hydroelectric units to maximize production at the peaks of the load, when marginal cost of thermal's is at the highest point, making the most economical utilization of water resources. Such an algorithm while it achieves significant economies regarding the cash flows and the fuel-quantities (fossils, water for agricultural purposes), delivers heavy support to management for market policy and operational decision-making.
机译：希腊大陆电力系统的发电产品组合主要包括各种类型的热电（使用化石燃料：天然气和褐煤）以及水力发电装置（蓄水，抽水蓄能，河道）。关于其燃料消耗，与水力发电相比，热电单元的可变成本大，几乎为零，这是由于其为水提供燃料的优势。此外，由于化石燃料的价格变化与水的价值不相关，因此产生了重大的权衡。由于这种折衷，在不考虑成本最小化的情况下使用能源（天然气，褐煤或水）可能总是导致浪费并造成重大损失。需求的变化及其突然的峰值，以及水的不确定性，迫使使用专门的数学模型来优化发电量。随着时间的流逝，应通过水和热力的非恒定投资组合来实现负荷覆盖，并通过算法进行协调，以实现成本最小化。这种模型的主要目标是操作的正常性，并通过实现成本最小化目标的特定技术，操作和经济约束条件来保障。这种类型的优化可以描述为热液协调问题，在我们的案例中，采用混合整数规划模型的形式。该模型的创新之处在于，它以一种省时的方式找到了最佳解决方案，同时将复杂性保持在非常低的水平，这迫使水力发电机组在负荷峰值时（当热能的边际成本为最高点，使水资源最经济地利用。这种算法在现金流和燃料数量（化石，农业用水）方面实现了显着的经济效益，同时为市场政策和运营决策的管理提供了大力支持。

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