Published September 15, 2015 | Version v1
Journal article

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.2015.01.053

Additional 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.