儲能營運商於電業自由化之電力交易市場最佳報價決策

Abstract

隨著再生能源在電力供應中的比例逐漸增加，電力系統的運營與穩定性受到再生能源發電波動性的影響。而大型電池儲能系統能穩定電力供給與提供電能轉移功能，為電力系統提供輔助服務。在電業自由化下的電力市場，儲能營運商可對電網營運商提供報價，使電力系統能調度額外的儲能容量為電網服務。本研究透過雙層賽局模型分析儲能營運商與電網營運商的互動關係，並尋找儲能系統營運商的最佳報價策略。賽局模型可表達為雙層最佳化模型，並經過原始/對偶最佳化條件、Karush–Kuhn–Tucker (KKT)條件與線性化技巧的轉換，成為單層混整數規劃模型，個案分析中，使用台灣電力公司的電力交易平台做為市場背景，並加入台灣再生能源發電的歷史數據，分析市場參與者的報價策略與獲利能力。

Battery energy storage systems have become crucial for addressing the challenges of power system operations and stability resulting from the increasing penetration of intermittent renewable energy sources. A deregulated electricity market allows energy storage service providers selling their storage capacity to the grid operator. This research aims to develop a bilevel programming model to optimize the bidding strategy of energy storage service providers. The proposed bilevel model can be converted into a single-level mixed integer linear programming model by using primal/dual optimality conditions, Karush–Kuhn–Tucker (KKT) conditions and linearization methods. The case study uses Taiwan Energy Trading Platform as market background and adopts electricity generation data in Taiwan to analyze the bidding strategy and profits of the market participants.