基于储能系统优化的安大略省a类客户需求费用最小化

Abdeslem Kadri, F. Mohammadi
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引用次数: 3

摘要

需求费(DC)是主要的公用事业费用之一,特别是在大电力客户的情况下。储能系统(ESS)可以优化以最小化这些费用。例如,一个大用户可以通过集成一个ESS来最小化他的DC,该ESS在他的低消耗时间充电,在他的高消耗时间放电。换句话说,ESS可以削去客户负载剖面的峰值功率,以确保较低的直流。这样,用电大户就可以省下大部分的电费,其中直流电费是电费的一部分。本文提出了一种优化的ESS规模和调度公式,以通过减少直流来减少月电费。基于安大略省(加拿大)的市场法规,本研究基于安大略省一家大型加拿大a类电力客户的真实数据,调查了使用ESS实现直流最小化的潜力。结果证明了所提出的ESS部署算法在最小化a类客户的总能源账单方面的有效性。
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Demand Charges Minimization for Ontario Class-A Customers Based on the Optimization of Energy Storage System
Demand charges (DC) is one of the major utility charges especially in the case of large electricity customers. The Energy Storage System (ESS) can be optimized to minimize these charges. For instance, a large consumer can minimize his DC by incorporating an ESS that charges during his low-consuming hours and discharges during his high-consuming hours. In other words, the ESS can shave the high peak powers of the customer's load profile to ensure lower DC. In this way, the large electricity customer will be able to save a big portion of his/her energy bill of which the DC is a part. This paper presents an optimization formulation for the sizing and scheduling of the ESS to minimize the energy monthly bill through the minimization of DC. Based on the market regulations of Ontario (Canada), this study investigates the potential of using the ESS for DC minimization based on real data for a large class-A Canadian electricity customer in Ontario. The results demonstrate the effectiveness of the proposed ESS deployment algorithm in minimizing the overall energy bills of the class-A customer.
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