Modelling of electricity spot price and load forecast based new energy management system for households

2014 55th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON) Pub Date : 2014-12-29 DOI:10.1109/RTUCON.2014.6998189

Denis Lebedev, A. Rosin

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引用次数: 7

Abstract

The aim was to determine probable profit by using electric energy storage (EES) device in a typical household. Focus is on theoretical and practical studies of an energy management system (EMS) based on VRLA battery storage. Use of a battery charge-discharge-schedule (BCDS) enables an optimal operation of EES taking advantage of the low price periods by importing more energy and storing it, while reducing the imported power during high price periods by supporting the load with the stored energy. Forecasted price and load are used to optimize the BCDS of EES, at the same time ensuring load demand supply. In the day-ahead market, the management system uses the mathematical functions to calculate the price of imported energy in each period of time with the day-ahead forecasted price and typical load in the household. The recursion loops in the optimization algorithm search for the best BCDS to reach the highest profit for the end consumer. All the calculations will be tested on the EMS to confirm the theoretical part.

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基于户用新能源管理系统的电力现货价格与负荷预测建模

目的是确定在一个典型的家庭中使用电能存储(EES)设备的可能利润。重点对基于VRLA蓄电池储能的能量管理系统(EMS)进行了理论和实践研究。电池充放电计划(BCDS)的使用使EES能够利用低电价期间通过进口和储存更多的能量来优化运行，同时通过使用储存的能量支持负载来减少高电价期间的进口电力。利用预测电价和负荷来优化电力系统的BCDS，同时保证负荷需求的供应。在日前市场中，管理系统利用日前预测价格和家庭典型负荷，利用数学函数计算出各时段的进口能源价格。优化算法中的递归循环搜索最佳BCDS以达到最终消费者的最高利润。所有的计算将在EMS上进行测试，以确认理论部分。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2014 55th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)

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