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Open Access Article
1 - Maximizing Energy Storages Revenue Using Two-Level Model and Considering High Influence of Wind Resources and Market Balance Constraints
Mojtaba Najafi Sadegh DerakhshanIn this paper, a method is presented to maximize the revenue from price difference due to the presence of storage systems in the power system with a high penetration level of wind resources. To account for price changes due to the profitability of price differences, a t MoreIn this paper, a method is presented to maximize the revenue from price difference due to the presence of storage systems in the power system with a high penetration level of wind resources. To account for price changes due to the profitability of price differences, a two-level model is presented that maximizes the earnings from price differences and has been carried out at a low level of market-clearing procedure. The high level uses low-level production prices and adjusts the storage outputs that affect the low-level price. Conversion techniques have been used for single-line programming with respect to system balance constraints. In order to check the performance, the proposed method will be implemented on the IEEE 118 bus test network. Analyzing the results revealed that the proposed method has improved significantly compared with the traditional method and has been able to achieve higher arbitrage income. By applying a two-level model can soften clearly the marginal price by lowering the price at peak times and raising it at non-peak times and the storage’s charging power of the traditional model is much lower than that of the two-level model at low marginal hours. The results show that proposed algorithms can increase revenue from traditional to two-level models from $ 43280 to $ 65700, respectively. Manuscript profile -
Open Access Article
2 - Improvement of Regional-Market Management Considering Reserve and Emergency Demand Response Program
Seyyed Ebrahim Hosseini Mojtaba Najafi Ali AkhaveinThe emergency demand response program (EDRP) is a type of program that can be utilized as a tool for controlling the price of electricity when there is a lack of reliability in the distribution system. In this study, a formulation is proposed for determining the optimum MoreThe emergency demand response program (EDRP) is a type of program that can be utilized as a tool for controlling the price of electricity when there is a lack of reliability in the distribution system. In this study, a formulation is proposed for determining the optimum amount of demands in the EDRP according to the viewpoints of the regional market manager (RMM) aimed at reducing the EDRP costs and smoothening the load curve based on the logarithmic model and the matrix of demand elasticity. The probability that the aggregators should present their available reserves to the RMM in response to the received incentives has also been included in the proposed formulations. The market manager then prioritizes the available reserves using the reserve-margin factor (RMF). Three algorithms including co-evolutionary particle swarm optimization (C-PSO), co-evolutionary teaching learning-based optimization (C-TLBO) and co-evolutionary improved teaching learning-based optimization (C-ITLBO) are used for reducing the EDRP costs. The results show that the proposed formulations are effective in improving the economic performance of the regional market and the load curve. Furthermore, the results indicate the superiority of the C-ITLBO algorithm in terms of the total cost, incentive rate and peak shaving in comparison with C-PSO and C-TLBO algorithms. Manuscript profile
List of Articles مجتبی Najafi
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