In any retail market, Load Serving Entities (LSE) and consumers can benefit from an effective dynamic pricing mechanism. Consumer's price responsiveness and uncertainty of Wholesale Electricity Market (WEM) prices can offer unexpected profits for LSE. LSEs are incentivised to procure a portion of their energy demand from Energy Storage Systems (ESS) due to increasing renewable penetration at the distribution end. LSE's decisions become complex while handling uncertainty arising from such constantly varying conditions. Sale price dynamics optimization could minimize undesirable impact of these uncertainties and maximize LSE's profit. However, this optimization is subject to severe WEM price uncertainty. In this perspective, this paper proposes a sale price dynamics optimization model to maximize LSE's profit while immunizing LSE against severe uncertainty of WEM prices. Information Gap Decision Theory (IGDT) framework is considered to explicitly model severe price uncertainty and determine robust and opportunistic decisions. Impact of Renewable Energy (RE) availability along with Battery Energy Storage (BES) operations on procurement decisions is analyzed. Results highlight that the proposed model ensures consumer benefit and increases LSE's profit. Correlation variation between demand and WEM price profile establishes effectiveness of the proposed model. RE and BES enhance robustness of procurement decisions.

在任何零售市场中，负载服务实体 (LSE) 和消费者都可以从有效的动态定价机制中受益。消费者的价格响应能力和批发电力市场 (WEM) 价格的不确定性可以为 LSE 提供意想不到的利润。由于配电端的可再生能源渗透率不断提高，LSE 被激励从储能系统 (ESS) 采购部分能源需求。LSE 的决策在处理因不断变化的条件而产生的不确定性时变得复杂。销售价格动态优化可以最大限度地减少这些不确定性的不良影响，并最大限度地提高 LSE 的利润。然而，这种优化受制于严重的 WEM 价格不确定性。从这个角度来看，本文提出了一个销售价格动态优化模型，以最大化 LSE' 的利润，同时使 LSE 免受 WEM 价格的严重不确定性的影响。信息差距决策理论 (IGDT) 框架被认为可以对严重的价格不确定性进行明确建模，并确定稳健和机会主义的决策。分析了可再生能源 (RE) 可用性以及电池储能 (BES) 操作对采购决策的影响。结果突出表明，所提出的模型确保了消费者的利益并增加了 LSE 的利润。需求和 WEM 价格概况之间的相关性变化确立了所提出模型的有效性。RE 和 BES 增强了采购决策的稳健性。分析了可再生能源 (RE) 可用性以及电池储能 (BES) 操作对采购决策的影响。结果突出表明，所提出的模型确保了消费者的利益并增加了 LSE 的利润。需求和 WEM 价格概况之间的相关性变化确立了所提出模型的有效性。RE 和 BES 增强了采购决策的稳健性。分析了可再生能源 (RE) 可用性以及电池储能 (BES) 操作对采购决策的影响。结果突出表明，所提出的模型确保了消费者的利益并增加了 LSE 的利润。需求和 WEM 价格概况之间的相关性变化确立了所提出模型的有效性。RE 和 BES 增强了采购决策的稳健性。