Ancillary services and optimal household energy management with photovoltaic production

• Published in: Energy (Oxford) Vol. 35; no. 1; pp. 55 - 64
• Main Authors: Clastres, C., Ha Pham, T.T., Wurtz, F., Bacha, S.
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 2010; Elsevier
• Subjects: Ancillary services; Applied sciences; Economic data; Electric energy; Energy; Energy economics; Energy management; Exact sciences and technology; General, economic and professional studies; Household application; Methodology. Modelling; Natural energy; PV production; PV production; Household application; Energy management; Ancillary services; Performance characteristic; Economic optimization; Photovoltaic system; Linear programming; Mixed integer programming; Algorithm; Case study; Optimal strategy; Solar energy; Electric power production; Photovoltaic generator; Mathematical model; Residential sector
• ISSN: 0360-5442
• DOI: 10.1016/j.energy.2009.08.025

This article presents a project designed to increase the monetary value of photovoltaic (PV) solar production for residential applications. To contribute to developing new functionalities for this type of PV system and an efficient control system for optimising its operation, this article explains how the proposed system could contract to provide ancillary services, particularly the supply of active power services. This provision of service by a PV-based system for domestic applications, not currently available, has prompted a market design proposal related to the distribution system. The mathematical model for calculating the system's optimal operation (sources, load and exchanges of power with the grid) results in a linear mix integer optimisation problem in which the objective is to maximise the profits achieved by taking part in the electricity market. Our approach is illustrated in a case study. PV producers could gain by taking part in the markets for balancing power or ancillary services despite the negative impact on profit of several types of uncertainty, notably the intermittent nature of the PV source.