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Stochastic Framework for Strategic Decision-making of Load-serving Entities for Day-ahead Market

机译:日前市场负载服务实体战略决策的随机框架

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摘要

The deregulation of electricity markets hasdiversified the range of financial transaction modes betweenindependent system operator (ISO), generation companies(GENCO) and load-serving entities (LSE) as the maininteracting players of a day-ahead market (DAM). LSEs sellelectricity to end-users and retail customers. The LSE that ownsdistributed generation (DG) or energy storage units can supplypart of its serving loads when the nodal price of electricity rises.This opportunity stimulates them to have storage or generationfacilities at the buses with higher locational marginal prices(LMP). The short-term advantage of this model is reducing therisk of financial losses for LSEs in DAMs and its long-termbenefit for the LSEs and the whole system is market powermitigation by virtually increasing the price elasticity of demand.This model also enables the LSEs to manage the financial riskswith a stochastic programming framework.
机译:电力市场的放松管制已经使独立系统运营商(ISO),发电公司(GENCO)和负荷服务实体(LSE)之间的金融交易模式范围变得多样化,这是日前市场(DAM)的主要互动参与者。 LSE将电力出售给最终用户和零售客户。当电力节点价格上涨时,拥有分布式发电(DG)或能量存储单元的LSE可以提供部分服务负荷,此机会刺激它们在具有较高位置边际价格(LMP)的公交车上具有存储或发电设施。该模型的短期优势是通过降低需求的价格弹性来降低DAM中LSE的财务损失风险,并降低LSE的长期利益,整个系统是通过降低需求价格弹性缓解市场力量的模型。该模型还使LSE能够管理具有随机编程框架的财务风险。

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