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Optimal Energy Consumption Model for Smart Grid Households With Energy Storage

机译:具有储能功能的智能电网家庭的最佳能耗模型

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In this paper, we propose to model energy consumption of smart grid households with energy storage systems as an inter-temporal trading economy. Smart homes define optimal consumption as either balancing/leveling consumption using energy storage devices such that the utility company is presented with a uniform demand or as minimizing consumption costs by storing energy during off-peak time periods when prices are lower and use the stored energy during peak time periods when prices are higher. In cost minimization scheme, household is the sole beneficiary and its consumption profile is highly nonuniform and there is no incentive for the utility company to support this scheme. On the other hand, in consumption leveling/balancing scheme there is an incentive for both the household and utility company to support this scheme due to reduction in consumption costs for the former and uniform demand for the latter. Due to varying nature of energy requirements of households and market energy prices over different time periods in a day, households face a tradeoff between consuming to meet their current energy requirements and/or storing energy for future consumption and/or spending energy stored in the past. These tradeoffs are modeled using inter-temporal trade and consumption preferences of households are modeled as utility functions using consumer theory. We introduce two different utility functions, one for cost minimization and another for consumption balancing/leveling, that are maximized subject to certain budget, consumption, storage and savings constraints to solve for the optimum consumption profile. The optimization problem of a household with energy storage is formulated as a geometric program for consumption balancing/leveling, while cost minimization is formulated as a linear programming problem. Simulation results show that the proposed model achieves extremely low peak to average ratio close to 1 with about 8% reduction in consumption costs in consumption bala- cing/leveling scheme and the least possible amount for the electricity bill with about 12% reduction in consumption costs in cost minimization scheme.
机译:在本文中,我们建议将具有储能系统的智能电网家庭的能耗建模为跨时贸易经济。智能家居将最佳消耗定义为使用储能设备平衡/均衡消耗,从而使公用事业公司面临统一的需求,或者通过在价格较低的非高峰时段存储能量并在使用过程中使用存储的能量来使消耗成本最小化。价格较高的高峰时段。在成本最小化计划中,家庭是唯一的受益者,其消费状况非常不统一,公用事业公司也没有动力支持该计划。另一方面,在消费均衡/平衡计划中,由于前者的消费成本降低且后者的需求一致,因此家庭和公用事业公司都支持该计划。由于一天中不同时间段内家庭能源需求的性质和市场能源价格的变化,家庭面临着在满足其当前能源需求的消费和/或存储能源以备将来消费和/或花费过去存储的能源之间进行权衡的问题。 。这些权衡是使用跨时贸易建模的,而家庭的消费偏好是使用消费者理论建模为效用函数的。我们引入了两种不同的实用程序功能,一种用于最小化成本,另一种用于平衡消费/均衡,在满足某些预算,消耗,存储和节省约束的情况下将其最大化,以解决最佳的消耗状况。具有能量存储的家庭的优化问题被表述为用于能耗平衡/均衡的几何程序,而成本最小化被表述为线性规划问题。仿真结果表明,所提出的模型实现了极低的峰均比,接近1,在用电平衡/均衡方案中的用电成本降低了8%左右,而电费的最小量却在用电成本降低了12%左右在成本最小化方案中。

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