Optimal Control of Residential Energy Storage Under Price Fluctuations

Optimal Control of Residential Energy Storage Under Price Fluctuations
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价格波动下户用储能的优化控制

DOI:
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发表时间:
2011
期刊:
影响因子:
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通讯作者:
Theodoros Salonidis
Theodoros Salonidis
中科院分区:
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文献类型:
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作者:
P. Ven;N. Hegde;L. Massoulié;Theodoros Salonidis

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越来越多的能源零售市场出现价格波动,为家庭用户提供了以低于平均价格的价格购买能源的机会。然而,这种成本节约在实践中很难实现,因为它们要求人类用户观察价格波动,并将电力需求转移到低价时段。我们建议在家庭电池中暂时存储低价时段的能量,以便在能源价格高的时候使用,以满足用户的需求。这使家庭用户能够通过利用价格波动来节省电费,而不会改变他们的消费习惯。我们将同时考虑用户需求和价格的储能购买成本最小化问题描述为一个马尔可夫决策过程,并证明了最优策略存在阈值结构。我们还用一个数值例子说明了这一策略可以带来显著的成本节约,并为未来的研究提供了各种方向。指标术语-电池存储、动态定价、动态规划、能量存储、阈值策略。
An increasing number of retail energy markets exhibit price fluctuations and provide home users the oppor- tunity to buy energy at lower than average prices. However, such cost savings are hard to realize in practice because they require human users to observe the price fluctuations and shi ft their electricity demand to low price periods. We propose to temporarily store energy of low price periods in a home battery and use it later to satisfy user demand when energy prices are high. This enables home users to save on their electricity bill by exploiting price variability without changing their consumption habits. We formulate the problem of minimizing the cost of energy storage purchases subject to both user demands and prices as a Markov Decision Process and show that the optimal policy has a threshold structure. We also use a numerical example to show that this policy can lead to significant cost savings, an d we offer various directions for future research. Index Terms—Battery storage, dynamic pricing, dynamic pro- gramming, energy storage, threshold policy.