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作 者:于强[1] 张验科[1] 卢垚键 罗笙月 YU Qiang;ZHANG Yan-ke;LU Yao-jian;LUO Sheng-yue(School of Water Resources and Hydropower Engineering,North China Electric Power University,Beijing 102206,China)
机构地区:[1]华北电力大学水利与水电工程学院,北京102206
出 处:《水电能源科学》2025年第2期216-220,共5页Water Resources and Power
基 金:国家自然科学基金项目(52279064,51709105)。
摘 要:为了解决电力系统电源短缺情况下的电源规划优选问题,在考虑水、火、风、光等多种电源的机组建设成本和系统运行成本费用特性曲线的基础上,将建设和运行阶段的费用视为一个整体,以总成本费用最小为目标建立了考虑机组优化组合的补充电源优化模型,给出了基于机组优化组合降低运行成本的求解方法。应用于某区域电力系统的算例分析结果表明,在不考虑各类电源资源条件限制且电价一定的情况下,所建模型可以更经济合理地给出在有限组补充电源方案中的优化推荐方案,相较于传统模型给出方案的总成本费用降低了11.28亿元,在考虑电价变化时,模型可求得期望效益最大的优化方案,相较于传统模型给出方案的期望效益增加了11.53亿元。这为多电源电力系统补充电源的策略优选提供了一定的参考。To address the issue of optimal power supply planning during shortages in the power systems,taking into account the construction costs and operational cost characteristics of various power sources,such as hydro,thermal,wind,and photovoltaic power,by integrating the costs from both the construction and operation phases into a single entity,a supplementary power optimization model based unit commitment was established by minimizing the total cost.The solution method of reducing operation cost based on unit commitment was given.The case study analysis applied to a regional power system demonstrates the effectiveness of the model under conditions where there are no constraints on the availability of different power resources and the electricity price is constant.The model provides a more economically and rationally optimized recommendation among a finite set of supplementary power supply schemes.Compared to traditional models,the total cost of the scheme provided by this model is reduced by 1.128 billion yuan.When considering the variability of electricity prices,the model can identify an optimized scheme that maximizes expected benefits,showing an increase of 1.153 billion yuan over the expected benefits of the scheme provided by traditional models.This study provides reference for the strategic optimization of supplementary power supply in multi-source power systems.
分 类 号:TM73[电气工程—电力系统及自动化]
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