نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشکده اقتصاد - دپارتمان اقتصاد صنعتی و مدیریت تکنولوژی- تروندهایم-نروژ
2 گروه برق قدرت- دانشکده مهندسی برق و کامپیوتر- دانشگاه بیرجند
3 دانشکده مهندسی برق و کامپیوتر- دانشگاه بیرجند- بیرجند- ایران
4 مرکز پژوهش و نوآوری، نووسرت-دوبلین-ایرلند.
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
This paper proposes a novel framework for the optimal bidding strategy of a flexible virtual power plant (VPP) in the day-ahead market while considering the participation of responsive loads in local energy markets. In the proposed structure, a co-opimization model for energy and reserve scheduling is developed to analyze the impact of inter-day trading of responsive loads on the VPP’s profit, taking into account the operators’ risk-aversion indices. Moreover, the effect of VPP participation in the local market on its operational behavior in other markets is examined. The results demonstrate how such participation can compensate for the imbalances caused by forecasting errors and significantly reduce the VPP’s transactions in the real-time market. The proposed model is formulated as a three-stage stochastic bi-level optimization problem and solved using a stochastic dual dynamic programming approach. Simulation results reveal that participation in the inter-day market can increase the VPP’s profit by up to 2.5%, while notably decreasing its real-time market transactions—sometimes nearly to zero.
کلیدواژهها [English]
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