Optimal risk-constrained participation of industrial cogeneration systems in the day-ahead energy markets

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• 作者：Manijeh Alipour ^{alipour@tabrizu.ac.ir" class="auth_mail" title="E-mail the corresponding author} ; Kazem Zare ; ^{kazem.zare@tabrizu.ac.ir" class="auth_mail" title="E-mail the corresponding author} ; Behnam Mohammadi-Ivatloo ^{bmohammadi@tabrizu.ac.ir" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Combined heat and power (CHP) system ; Demand response programs ; Feasible operation region of CHP units ; CHP optimal bidding strategy ; Information gap decision theory (IGDT)
• 刊名：Renewable and Sustainable Energy Reviews
• 出版年：2016
• 出版时间：July 2016
• 年：2016
• 卷：60
• 期：Complete
• 页码：421-432
• 全文大小：1401 K

文摘

This paper presents an optimal bidding strategy for industrial consumers with cogeneration facilities, power-only and heat-only units to participate in day-ahead electricity market. A information gap decision theory (IGDT) technique is implemented for determining the optimal bidding strategies considering market price uncertainty. IGDT evaluates the robustness/opportunity of optimal bidding strategy under market price uncertainty considering the consumer choice of taking risk-averse or risk-taking decisions. It is confirmed that the risk-averse or risk-taking decisions might affect the expected profit and bidding curve of the consumers.

Moreover, demand response (DR) program has been implemented in order to serve the power and heat demands of the consumer with minimum cost. In the proposed DR program, the total power and heat demand of consumer will be supplied without any curtailed load. The responsive load can vary in different time intervals. In addition, it is assumed that the consumer will pay (receive) for increased (reduced) consumption, which is proportional to the day-ahead market price. In this paper, the heat-power dual dependency characteristic in different types of combined heat and power (CHP) units is taken into account and all technical constraints of generation units are satisfied. In addition, a heat buffer tank with the ability of heat storage is incorporated in the proposed framework. The verification of the proposed method is demonstrated using the simulation of a case study.