A New Reconfigured Electricity Market Bidding Strategy in View of Players Concerns
Abedinia O. Ghasemi-Marzbali A. Nurmanova V. Bagheri M.
2022Institute of Electrical and Electronics Engineers Inc.
IEEE Transactions on Industry Applications
2022#58Issue 67034 - 7046 pp.
The electricity market has become a competitive model due to generation, transmission, distribution, and large-scale investments in microgrids where no electricity supplier intends to set the price. However, the competition itself provides opportunities for the buyer to be able to experience more profit. Based on the available optimal bidding model, the supplier can only offer the final bid. Hence, active participation on the demand side creates an efficient and reasonable electricity market, and also promotes additional optimal allocation of economic resources. This article has concentrated over the final marginal bidding price and creating an optimal bidding strategy for consumers. It has specifically focused and proposed a new optimized model for electricity market bidding to improve and obtain a maximum turnover and profit for players. Since the solution of the aforementioned issue is inadequate due to multiple decision variables in mathematical and classical methods; a new enhanced Harris Hawks optimization (HHO) is proposed. Trapping into local optimum point can be occurred in different optimization algorithms, while the proposed model has simple and efficient structure, without derivative operator, which is integrated with mathematical techniques to increase local and global search abilities. The standard HHO algorithm is utilized to increase the probability of entrapment in local optima through increasing the number of optimization variables; however, the challenge of large number of variables is resolved through proposing a novel local/global operators. The proposed model is examined with a standard IEEE system in 2-scenarios, with symmetric and asymmetric information through finding the optimal solution desirably.
Auction bidding optimization , competitive electricity market , electricity bidding strategy , electricity market , Harris Hawks optimization algorithm
Text of the article Перейти на текст статьи
Nazarbayev University, Department of Electrical and Computer Engineering, Nur-Sultan, 010000, Kazakhstan
Mazandaran University of Science and Technology, Department of Electrical and Biomedical Engineering, Babol, 4716685635, Iran
Nazarbayev University
Mazandaran University of Science and Technology
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026