Profit Based Self Scheduling of Virtual Power Plant Under Multiple Locational Marginal Prices

Meenakshi Khandelwal, Parul Mathuria, R. Bhakar
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引用次数: 2

Abstract

Integration of DERs and prosumers as a single plant to obtain allied benefits via market interface introduces the concept of Virtual Power Plant (VPP). This aggregation imposes techno-economic challenges on VPP operator while participating into LMP based wholesale market. Moreover, widely dispersed DERs connected at different nodes with transmission bus experiences multiple Locational Marginal Prices (LMPs). This would impact VPP scheduling and trading decisions, hence require in-depth investigations. In this regard, this paper presents a mathematical exposition for network constrained VPP scheduling with LMP based wholesale market participation. IEEE 30-bus system is modified to implement the proposed model. Results demonstrate that multiple LMPs substantially help VPP operator in optimal resource allocation while maintaining network flows within limits. Further, power mismatch is traded into LMP based market through multiple nodes to maximize its profit. Proposed model would help VPP operator to maintain a consistent system in view of technical and market aspects.
多站点边际电价下基于利润的虚拟电厂自调度
虚拟电厂(VPP)的概念是将需求方和产消方整合为一个电厂,通过市场接口获得联合利益。这种聚合给VPP运营商在参与基于LMP的批发市场时带来了技术经济上的挑战。此外,分布广泛的分布式分布式存储系统通过传输总线连接在不同节点上,会产生多个位置边际价格(LMPs)。这将影响VPP调度和交易决策,因此需要深入调查。在此基础上,本文对基于LMP的批发市场参与的网络约束VPP调度问题进行了数学阐述。为了实现所提出的模型,对IEEE 30总线系统进行了改进。结果表明,在保证网络流量不受限制的情况下,多个LMPs极大地帮助VPP运营商优化资源配置。进一步,通过多个节点将功率失配交易到基于LMP的市场中,以实现其利润最大化。建议的模式将有助于VPP运营商在技术和市场方面保持系统的一致性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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