带调节发电机的混合电力系统运行最优算法的确定

IF 0.3 Q4 ENERGY & FUELS Problemele Energeticii Regionale Pub Date : 2022-08-01 DOI:10.52254/1857-0070.2022.3-55.07
N. Kuznetsov, O. Lysenko
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引用次数: 0

摘要

本文的目的是研究通过调节电力积累和备用发电机来防止可再生能源随机性造成的不平衡的可能性。研究的主题是能源产生和消耗的随机过程。该目标是通过数学模型构建来实现的,其中系统参数将被形式化,并允许选择最佳选项。该数学模型使用随机函数来获得统计估计,并作为一个集成的随机过程实现为能源生产和消耗的顺序模型。通过比较乌克兰一些现有可再生能源的模拟指标和实际指标,证实了模型的充分性。所提出的方法使建立系统参数成为可能,这些参数可以最大限度地减少能量损失和消耗,降低能量不平衡的概率,并有效地使用备用功率。所提出的数学模型可以确定各种系统状态的概率,估计能源供应的可靠性,并在设计电力系统和规划其运行模式的阶段最大限度地减少损失。上述估算是特定气候条件和能源消耗模式的典型估算,具有特定性质。这项工作的意义在于,所提出的问题公式使数学模型能够适应各种条件,找到系统技术参数与其指标之间的隐含相关性,从而找到最佳解决方案。
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Determination of the Optimal Algorithm for the Operation of a Hybrid Power System with a Regulating Generator
The purpose of the article is to study the possibilities of preventing the imbalance caused by the stochastic nature of RES by regulating the electricity accumulation and the backup generator. The subject of the research is random processes of energy generation and consumption. The goal is achieved by a mathematical model construction in which the system parameters would be formalized and allow the choice of optimal options. The mathematical model uses random functions to obtain statistical estimates, and is implemented as sequential models of energy generation and consumption as an integrated random process. The models’ adequacy is confirmed by comparing the simulated and real indicators for a number of existing RES in Ukraine. The proposed approach made it possible to establish the presence of system parameters that minimize energy losses and consumption, reduce the probability of energy imbalance, and effectively use the reserve power. The proposed mathematical model allows determining the probability of various system states, it estimates the reliability of energy supply, and minimizes losses at the stages of designing a power system and planning its operating modes. The above estimates are typical for certain climatic conditions and modes of energy consumption, and are of a specific nature. The significance of the work lies in the fact that the proposed formulation of the problem makes it possible to adapt the mathematical model to various conditions, to find implicit dependencies between the technical parameters of the system and its indicators in order to find optimal solutions.
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来源期刊
CiteScore
0.70
自引率
33.30%
发文量
38
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