基于多区电价的储能光伏系统电网用电管理

A. Shavelkin, J. Gerlici, I. Shvedchykova, K. Kravchenko, H. Kruhliak
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引用次数: 9

摘要

目的。改进了太阳能光伏系统的管理原则,该系统白天为局部对象自主运行,在排除发电入网的情况下并网多区付费。方法。利用Matlab软件包对光伏系统的能量过程进行建模和分析。能量过程的仿真模型建立在考虑电池特性的计算表达式的基础上。基于标准混合逆变器的实验装置验证了所提方案的可操作性。结果。如图所示,由于电池在负荷高峰时段和白天部分时间内的能量,系统可以自主运行,而不依赖于可能违反电网电力质量的情况。根据光伏电池日发电量预测值与其可能最大值的比值,提出负荷推荐计划的情景。建立了经推荐负荷修正后的系统能量过程仿真模型。创意。提出了一种考虑光伏电池实际发电量与预测值之间的差异以及实际负荷与推荐负荷之间的差异,并对实际发电量和电池充电程度进行电流校正的推荐负荷计算方法。实用价值。所获得的解决方案是使用软件和硬件综合体进行功耗管理的本地物体的新的和现代化现有光伏系统设计的基础。
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Management of Power Consumption in a Photovoltaic System with a Storage Battery Connected to the Network with Multi-Zone Electricity Pricing to Supply the Local Facility Own Needs
Purpose. Improving the principles of management of photovoltaic system with storage battery and with autonomous functioning during daylight hours for a local object, connected to the grid with multi-zone payment when excluding the generation of energy into the grid. Methodology. Modeling and analysis of energy processes in the photovoltaic system was performed using the Matlab software package. The simulation model of energy processes is based on calculated expressions taking into account the characteristics of the battery. Operability of the proposed solutions are confirmed on an experimental setup based on a standard hybrid inverter. Results. It’s shown, that due to the battery energy during the most loaded peak hours and part of the daytime the system operates autonomously and does not depend on possible violations of the quality of electricity in the grid. Scenarios of the recommended load schedule are proposed in accordance with the ratio of the predicted value of the daily energy generation of the photovoltaic battery to its possible maximum value. A simulation model of energy processes in the system with the correction of the recommended load value was developed. Originality. A method of the recommended load calculation with current correction for the actual generation and degree of battery charge is proposed, which allows taking into account differences the actual generation of the photovoltaic battery from its predicted value and the actual load from the recommended one. Practical value. The obtained solutions are the basis for the design of new and modernization of existing photovoltaic systems of local objects using software and hardware complexes for power consumption management.
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