Optimal Scheduling of a Residential Energy Prosumer Incorporating Renewable Energy Sources and Energy Storage Systems in a Day-ahead Energy Market

  • Hui Huang Department of Quality and Information Technology, Hunan Labor and Human Resources Vocational College, Changsha 410100, Hunan, China
  • Wenyuan Liao College of Civil Engineering, Southwest Forestry University, Kunming 650224, China
  • Hesam Parvaneh Shahid Beheshti University, Tehran, Iran
Keywords: energy prosumer, day-ahead scheduling, energy storage systems, renewable energy sources, electricity price forecasting

Abstract

Due to the world rapid population growth, the need for energy is accelerated especially in the residential sector. One of the most efficient ways of responding to energy demand is the utilisation of energy prosumers (EPs). EPs are able to consume and produce energy by using renewable energy sources (RESs) and energy storage systems (ESSs). In this paper,  optimal scheduling and operation of a residential EP is proposed considering electricity price forecasting. A hybrid adaptive network-based fuzzy inference system (ANFIS)-genetic algorithm (GA) model is proposed for day-ahead price forecasting. Then, forecasted price values are applied to a real-world EP test system. It is revealed that the proposed hybrid ANFIS-GA model can forecast electricity prices properly. However, due to the high linearity of price patterns, the proposed algorithm was not able to accurately forecast peak-prices. Based on the results, the optimal operation of ESSs is affected by the uncertainty of electricity price.

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Author Biographies

Hui Huang, Department of Quality and Information Technology, Hunan Labor and Human Resources Vocational College, Changsha 410100, Hunan, China

Hui Huang was born in Changde Hunan P.R. China, in 1988. She received the Master degree from Changsha University of Science & Technology, P.R. China. Now, he works in Department of Quality and Information Technology, Hunan Labor and Human Resources Vocational College, His research interests include housing safety testing, household energy consumption and structural seismic.

Wenyuan Liao, College of Civil Engineering, Southwest Forestry University, Kunming 650224, China

Wenyuan Liao was born in Dehong Yunnan, P.R. China, in 1987. He received the doctor’s degree from Kunming University of Science and Technology, P.R. China. Now, he works in College of Civil Engineering, Southwest Forestry University. His research interests include composite structure, concrete cracks and finite element analysis.

Hesam Parvaneh, Shahid Beheshti University, Tehran, Iran

Hesam Parvaneh is affiliated with Faculty of Electrical Engineering, Shahid Beheshti University, Tehran, Iran. He is also designer and supervisor in south of Kerman electric power distribution company. His research interests are distribution system, power electronic, optimization, renewable energy, dynamic of power system.

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Published
2021-04-30
Section
Articles