Robust optimization for load scheduling of a smart home with photovoltaic system
- 1. Key Laboratory of Smart Grid of Ministry of Education (Tianjin University), Tianjin 300072 (China)
- 2. Electrical and Computer Engineering Department, Clarkson University, Postdam, NY 13699 (United States)
Description
Highlights: • Robust household load scheduling is presented for smart homes with PV system. • A robust counterpart is formulated to deal with PV output uncertainty. • The robust counterpart is finally transformed to a quadratic programming problem. • Load schedules with different robustness can be made by the proposed method. • Feed-in tariff and PV output would affect the significance of the proposed method. - Abstract: In this paper, a robust approach is developed to tackle the uncertainty of PV power output for load scheduling of smart homes integrated with household PV system. Specifically, a robust formulation is proposed and further transformed to an equivalent quadratic programming problem. Day-ahead load schedules with different robustness can be generated by solving the proposed robust formulation with different predefined parameters. The validity and advantage of the proposed approach has been verified by simulation results. Also, the effects of feed-in tariff and PV output have been evaluated
Availability note (English)
Available from http://dx.doi.org/10.1016/j.enconman.2015.01.053Additional details
Identifiers
- DOI
- 10.1016/j.enconman.2015.01.053;
- PII
- S0196-8904(15)00065-5;
Publishing Information
- Journal Title
- Energy Conversion and Management
- Journal Volume
- 102
- Journal Page Range
- p. 247-257
- ISSN
- 0196-8904
- CODEN
- ECMADL
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 47019005
- Subject category
- S29: ENERGY PLANNING, POLICY AND ECONOMY;
- Descriptors DEI
- ENERGY MANAGEMENT; HOUSEHOLDS; OPTIMIZATION; PHOTOVOLTAIC POWER SUPPLIES; PROGRAMMING; SCHEDULES; TARIFFS
- Descriptors DEC
- ELECTRONIC EQUIPMENT; EQUIPMENT; MANAGEMENT; POWER SUPPLIES; SOLAR EQUIPMENT
Optional Information
- Copyright
- Copyright (c) 2015 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.