Look-Ahead Energy Management of a Grid-Connected Residential PV System with Energy Storage under Time-Based Rate Programs

Jaeyeong Yoo, Byungsung Park, Kyungsung An, Essam A. Al-Ammar, Yasin Khan, Kyeon Hur and Jong Hyun Kim
Additional contact information
Jaeyeong Yoo: School of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, South Korea
Byungsung Park: School of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, South Korea
Kyungsung An: School of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, South Korea
Essam A. Al-Ammar: Saudi Aramco Chair in Electrical Power, Department of Electrical Engineering, King Saud University, Riyadh 11421, Saudi Arabia
Yasin Khan: Saudi Aramco Chair in Electrical Power, Department of Electrical Engineering, King Saud University, Riyadh 11421, Saudi Arabia
Kyeon Hur: School of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, South Korea
Jong Hyun Kim: Department of Nuclear & Quantum Engineering, Korea Advanced Institute of Science and Technology, Daejeon 305-701, South Korea

Energies, 2012, vol. 5, issue 4, 1-19

Abstract: This paper presents look-ahead energy management system for a grid-connected residential photovoltaic (PV) system with battery under critical peak pricing for electricity, enabling effective and proactive participation of consumers in the Smart Grid’s demand response. In the proposed system, the PV is the primary energy source with the battery for storing (or retrieving) excessive (or stored) energy to pursue the lowest possible electricity bill but it is grid-tied to secure electric power delivery. Premise energy management scheme with an accurate yet practical load forecasting capability based on a Kalman filter is designed to increase the predictability in controlling the power flows among these power system components and the controllable electric appliances in the premise. The case studies with various operating scenarios demonstrate the validity of the proposed system and significant cost savings through operating the energy management scheme.

Keywords: photovoltaic (PV); energy storage system; smart grid; load forecasting; critical peak pricing (CPP) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

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