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2022 IEEE 8th International Conference on Energy Smart Systems (ESS)最新文献

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Representation of Power System Load Control Instruments in the Unit Commitment Model with Cyclic Horizon of Forecasting 具有周期预测水平的机组承诺模型中电力系统负荷控制手段的表示
Pub Date : 2022-10-12 DOI: 10.1109/ESS57819.2022.9969311
S. Saukh, A. Borysenko
Well-known Unit Commitment (UC) models of loading generating units of power systems have a common feature: they are all determined on the basis of linear time, where there are past, current and future periods. UC models are “tied” to the initial conditions and, therefore, cannot cover long-term forecasting horizon due to the excessive computational complexity of algorithms for solving model problems of large-scale integer programming. To eliminate such an insurmountable limitation in the application of UC models, the UC model of loading generating units on the cyclic forecasting horizon (UCC-model) is used. The UCC-model reproduces units loading modes on a cyclical weekly forecast horizon and does not require initial conditions, as it establishes a relationship between the states of generating units at the end and beginning of the forecast horizon. The UCC-model presents a detailed description of the operation of electricity storage systems, taking into account the placement of primary and secondary reserves. Comprehensive consideration of the maneuverability of traditional generation technologies in combination with energy storage systems and opportunities for participation of RES and consumers in load regulation significantly improve the quality of modeling modes of generating equipment in long-term development models. The use of the UCC-model in the tasks of long-term planning of generation development allows to adequately represent the modes of operation of generating equipment and the distribution of reserves in the power system. The use of the UCC-model in the tasks of short-term dispatch control of power systems allows reproducing the features of the distribution of reserves in the electricity storage systems, demand management and distributed generation.
众所周知的电力系统负荷发电机组的机组承诺(Unit Commitment, UC)模型有一个共同的特点:它们都是基于线性时间来确定的,其中有过去、现在和未来的时间段。UC模型“绑定”于初始条件,因此,由于解决大规模整数规划模型问题的算法的计算复杂度过高,UC模型无法覆盖长期预测范围。为了消除UC模型在应用中的这一不可逾越的局限性,采用了循环预测水平上的负荷发电机组UC模型(ucc模型)。ucc模型在周期性的每周预测范围内再现机组的负荷模式,并且不需要初始条件,因为它建立了预测范围结束时和开始时发电机组状态之间的关系。ucc模型详细描述了电力存储系统的运行情况,并考虑了一次和二次储备的配置。综合考虑传统发电技术与储能系统的可操作性,以及可再生能源和消费者参与负荷调节的机会,大大提高了长期发展模型中发电设备建模模式的质量。在发电发展的长期规划任务中使用ucc模型可以充分代表发电设备的运行模式和电力系统中储备的分布。在电力系统短期调度控制任务中使用ucc模型,可以再现电力存储系统、需求管理和分布式发电中储备分布的特征。
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引用次数: 0
Developing the algorithm for the smart control system of distributed power generation of water drainage complexes at iron ore underground mines 研究了铁矿地下矿山排水综合体分布式发电智能控制系统的算法
Pub Date : 2022-10-12 DOI: 10.1109/ESS57819.2022.9969263
I. Sinchuk, O. Mykhailenko, A. Kupin, O. Ilchenko, K. Budnikov, V. Baranovskyi
The article highlights prospects for developing smart control systems of the power supply - power consumption process at underground iron ore mining enterprises. It is emphasized that it is possible to achieve the desired level of energy efficiency when transforming the power supply system from of the centralized power supply option into that with distributed generation sources as these very types of industrial enterprises are adaptable to such renovation. Creation of peak pumped storage power plants (PSPPs) based on water drainage complexes of underground mines is a priority among other effective solutions to the problem, thus providing autonomous power supply to industrial consumers. The authors suggest a new operation algorithm for the smart control system of the iron ore underground mine power supply involving distributed power generation facilities of this type. There is a comparative analysis of economic indices of the enterprise power system with two options of power supply of consumers - from the power grid and from the power grid with additional peak PSPPs. There are determined levels of power consumption by mine technological objects and operation parameters of hydrogenerators when application of the offered combined system of power supply with the smart control system is expedient.
文章重点介绍了地下铁矿开采企业供用电过程智能控制系统的发展前景。强调的是,当将供电系统从集中式供电方案转变为分布式发电方案时,有可能达到所需的能源效率水平,因为这些类型的工业企业都能适应这种改造。在解决这一问题的其他有效方案中,优先考虑的是建立基于地下矿井排水综合体的调峰抽水蓄能电站(PSPPs),从而为工业用户提供自主供电。针对涉及此类分布式发电设施的铁矿地下矿山供电智能控制系统,提出了一种新的运行算法。对比分析了用户供电两种方案下企业电力系统的经济指标——电网供电和电网附加峰值pspp供电。提供的供电系统与智能控制系统相结合的情况下,矿山工艺对象的用电量水平和水轮发电机的运行参数是确定的。
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引用次数: 1
Static Characteristics of Zero-Current-Switching Quasi-Resonant Boost Converter under Variation of Resonant Circuit and Load Parameters 零电流开关准谐振升压变换器在谐振电路和负载参数变化下的静态特性
Pub Date : 2022-10-12 DOI: 10.1109/ESS57819.2022.9969266
A. Dymerets, A. Gorodny, Roman D. Yershov, Anatoliy S. Revko, S. Stepenko
The impact of resonant circuit parameters on static characteristics of a half-wave boost quasi-resonant converter is investigated. The dependences of the converter voltage maximum conversion ratio under variation of resonant circuit time constant and characteristic impedance with different load impedance values are obtained by dint of multi-factor numeric simulation. The dependences of the ratio between the transistor current peak value and input current rms value under variation of resonant circuit time constant and characteristic impedance with different load impedance values are also obtained. Approximated laws described above dependencies are fitted. Results allow determining the allowable values for resonant inductance and capacitance, as well as the load impedance to keep within a zero-current-switching mode.
研究了谐振电路参数对半波升压准谐振变换器静态特性的影响。通过多因素数值模拟,得到了不同负载阻抗值下变换器电压、最大转换率随谐振电路时间常数和特性阻抗变化的关系。得到了不同负载阻抗值下晶体管电流峰值与输入电流有效值之比随谐振电路时间常数和特性阻抗变化的关系。拟合了上述依赖关系所描述的近似定律。结果允许确定谐振电感和电容的允许值,以及负载阻抗,以保持在零电流开关模式。
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引用次数: 1
Renewable electricity sources selection based on the economy applied approach 基于经济应用方法的可再生能源选择
Pub Date : 2022-10-12 DOI: 10.1109/ESS57819.2022.9969297
A. Antonov, D. Bosyi
The aim of the work is to develop an economically justified approach to the selection of renewable sources of electricity. This aim is achieved by construction an automated algorithm that takes into account a set of restrictions for creating the optimal structure of a photovoltaic station. The work confirms the influence of such factors on project implementation as: electricity consumption schedule, built-up area, photovoltaic station mounting system type, allocated amount of money for project implementation, fixed and variable costs for maintenance of photovoltaic station, cost of electricity. The results of an economically justified approach to the selection of renewable sources of electricity at a real photovoltaic station are given. Indicators such as pay-back period and cash flow were calculated, which show the feasibility of the proposed approach.
这项工作的目的是开发一种经济上合理的方法来选择可再生能源的电力。这一目标是通过构建一个自动算法来实现的,该算法考虑了一组限制,以创建光伏电站的最佳结构。工作确定了用电量计划、建筑面积、光伏电站安装系统类型、项目实施拨款金额、光伏电站固定和可变维护成本、电力成本等因素对项目实施的影响。给出了在实际光伏电站选择可再生能源的经济合理方法的结果。通过对回收期、现金流量等指标的计算,验证了所提方法的可行性。
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引用次数: 0
期刊
2022 IEEE 8th International Conference on Energy Smart Systems (ESS)
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