Integrating Renewable Energy and Demand Response Strategies for Cost-Effective Industrial Energy Management
الموضوعات : journal of Artificial Intelligence in Electrical Engineering
1 - Department of Electrical Engineering, Shabestar Branch, Islamic Azad University, Shabestar, Iran
الکلمات المفتاحية: Energy Procurement, Large Industrial Consumers, Real-time Pricing, Time-Of-Use Pricing,
ملخص المقالة :
In this paper, the energy procurement of large industrial consumers with the minimum cost of alternative energy sources including the micro-turbines, bilateral contracts, power market and renewable energy sources, namely wind turbines and photovoltaic systems, is investigated. Also, the battery storage is used to increase energy efficiency. Additionally, the effects of real-time pricing demand response program (RTP-DRP) and the time-of-use demand response program (TOU-DRP) on the load curve of the large industrial consumer have been studied, which leads to the smoothing of the load curve and, as a result, reduces the cost of energy procurement of the consumer. To model the uncertainties of electricity price, consumer's load, wind speed, irradiation of sun, temperature, scenario-based probabilistic programming is proposed. The proposed scheme is modeled as mixed-integer linear programming and the global optimal is extracted using GAMS software. Comparison of the results shows that the cost of purchasing industrial consumer's energy is reduced by 12.33% and 6.23% due to the use of RTP-DRP and TOU-DRP, respectively; and also indicates the efficiency of the proposed RTP-DRP in comparison to the traditional TOU-DRP.
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