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Network capacity charge for sustainability and energy equity: A model-based analysis
Applied Energy ( IF 10.1 ) Pub Date : 2020-03-30 , DOI: 10.1016/j.apenergy.2020.114847
Kaveh R. Khalilpour , Peter Lusis

It is long known that the afternoon peak demand accounts for over-investment in the electricity network assets. This results in a high price of delivered electricity which does not fairly differentiate between peak and non-peak users. Energy tariff is proven to be one of the best demand-side management (DSM) tools for shaping consumers’ behaviour. While electricity pricing models, such as inclining block and time-of-use tariffs, have received decent attention as successful mechanisms, there are little discussions about another efficient tariff known as a rollover network capacity charge. It is a penalty for the highest recorded power usage over the previous reading cycle (or year) which is introduced to commercial users in some jurisdictions.

With recent price reduction in distributed generation and storage (DGS) systems, the interest has increased in devising policies for directing the household and commercial consumers’ behaviour towards using DGS systems in line with DSM objectives. In this paper, we have integrated the rollover network capacity charge into DGS systems investment analysis. The introduced optimisation formulation can consider capacity charge for both energy import and export. The results from a few case studies show the positive impact of capacity charge in directing the peak-consumers’ investment decisions towards DSM tools (e.g., energy storage) to curb their peak demands. This not only improves the resilience of the network but also promises as an effective mechanism in energy-justice nexus by avoiding the transfer of the associated costs of peak demand to all users.



中文翻译:

可持续性和能源公平性的网络容量费用:基于模型的分析

众所周知,下午的高峰需求是电网资产过度投资的原因。这导致交付的电价高昂,无法在高峰和非高峰用户之间公平地区分。事实证明,能源关税是影响消费者行为的最佳需求方管理(DSM)工具之一。尽管像成功的机制这样的定价机制,例如倾斜的区块电价和使用时间的电价,已经受到了广泛的关注,但是对于另一种有效的电价,即过渡网络容量收费,却鲜有讨论。对于在某些辖区引入商业用户的前一个阅读周期(或年份)中记录的最高用电量,这是一种惩罚。

随着最近分布式发电和存储(DGS)系统价格的降低,人们对制定政策以指导家庭和商业消费者的行为朝着使用符合DSM目标的DGS系统的兴趣增加了。在本文中,我们已将过渡网络容量费用集成到DGS系统投资分析中。引入的优化公式可以考虑能源进口和出口的容量费用。一些案例研究的结果表明,容量收费对将高峰消费者的投资决策引导至DSM工具(例如能量存储)以抑制其高峰需求具有积极影响。

更新日期:2020-03-30
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