发电机与储能最优调度问题的最佳实践

IF 1.4 4区 工程技术 Q3 ENGINEERING, MECHANICAL Journal of Engineering for Gas Turbines and Power-transactions of The Asme Pub Date : 2023-11-03 DOI:10.1115/1.4063529
Andriy Vasylyev, Alberto Vannoni, Alessandro Sorce
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引用次数: 0

摘要

可再生能源在能源结构中所占的份额越来越大,电力市场的自由化极大地影响了发电机的运行。特别是在过去十年中,化石燃料发电机组的作用已经从提供持续的基本负荷转变为覆盖高峰需求并提供备用容量以稳定电网。与此同时,预计未来几年将有大量的存储容量被整合到电网中,以削减需求高峰,缓解价格波动,并为电网提供服务。在这种情况下,为了对这些关键技术进行合理的管理,从而保证运行的经济可行性,就必须对调度进行适当的优化,确定最佳调度。本文以某燃气轮机联合循环与蓄电池储能为研究对象,研究发电机组与储能技术的调度优化问题。考虑了不同的优化算法,选择了混合整数线性规划,因为它能够识别全局最优,并且优化时间短。本文还研究了优化窗口(即电价预测范围)的影响。报告强调,至少在36小时内,预测能力的提高保证了更有效的调度;另一方面,它可能需要更长的时间。随后,评估了计算优化阶段运行和维护成本的不同方法,最后,对市场参数(价格平均和变异性)和技术特征(转换效率、周期成本等)进行敏感性分析。
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Best Practices for Electricity Generators and Energy Storage Optimal Dispatch Problems
Abstract The growing share of renewable energy sources in the energy mix and the liberalization of electricity markets has drastically affected the operation of electricity generators. Especially, in the last decade, fossil fuel-based generators have shifted their role from providing continuous base load to covering the peak demand and providing backup capacity to stabilize the grid. At the same time, a large amount of storage capacity is foreseen to be integrated into electricity grids in the coming years to shave demand peaks, mitigate price volatility, and provide services to the grid. In such a situation, in order to properly manage these crucial technologies, and thus guarantee the economic viability of the operation, it is essential to properly optimize the dispatch and define the best scheduling. This paper considers a gas turbine combined cycle and battery energy storage to study the problem of dispatch optimization of both generators and storage technologies. Different optimization algorithms have been considered and mixed integer linear programming is selected for its ability to identify the global optimum and the reduced optimization time. The impact of optimization windows (i.e., the forecast horizon of electricity prices) is also investigated. It is highlighted that an increase in forecasting ability, at least up to 36 h, guarantees more effective scheduling; on the other hand, it may require a significantly longer time. Subsequently, different approaches to account for the operation and maintenance costs at the optimization stage are assessed, and, finally, a sensitivity analysis is carried out with respect to market parameters (price average and variability) and technology features (conversion efficiency, cycle cost, etc.).
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来源期刊
CiteScore
3.80
自引率
20.00%
发文量
292
审稿时长
2.0 months
期刊介绍: The ASME Journal of Engineering for Gas Turbines and Power publishes archival-quality papers in the areas of gas and steam turbine technology, nuclear engineering, internal combustion engines, and fossil power generation. It covers a broad spectrum of practical topics of interest to industry. Subject areas covered include: thermodynamics; fluid mechanics; heat transfer; and modeling; propulsion and power generation components and systems; combustion, fuels, and emissions; nuclear reactor systems and components; thermal hydraulics; heat exchangers; nuclear fuel technology and waste management; I. C. engines for marine, rail, and power generation; steam and hydro power generation; advanced cycles for fossil energy generation; pollution control and environmental effects.
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