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Abstract
This paper proposes a new problem formulation to simplify the mathematical representation for a hybrid ac/dc domestic energy system. Instead of building the formulation from a component level, the new formulation is built at the whole system level such that all power transfers between ac/dc or dc/ac are reflected in the ac power drawn from the main grid. This is achieved by assigning the ac power drawn from the grid as a piecewise function of local dc power, each slope in the function represents the conversion efficiency, making it flexible to consider a wide range of conversion efficiencies for different system components. The new formulation substantially reduces the number of variables/constraints, improves efficiency modelling accuracy and increases the search efficacy. The piecewise functions are directly solved by a mixed integer linear programming (MILP). The performance of the proposed formulation is illustrated by the hybrid ac/dc energy systems at a primary school in the U.K. The results show that the proposed problem formulation and the MILP solution method provide an effective optimal control strategy for a mixed ac/dc domestic energy system in the presence of variable tariffs and differing conversion efficiency, achieved a cost saving of 24% increase in energy bills compared with the traditional approach.
Original language | English |
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Article number | 7742362 |
Pages (from-to) | 3154-3165 |
Number of pages | 12 |
Journal | IEEE Transactions on Smart Grid |
Volume | 9 |
Issue number | 4 |
Early online date | 11 Nov 2016 |
DOIs | |
Publication status | Published - 31 Jul 2018 |
Keywords
- Battery storage
- demand side response
- energy management system
- local hybrid AC/DC system
ASJC Scopus subject areas
- General Computer Science
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Dive into the research topics of 'New Problem Formulation for Optimal Demand Side Response in Hybrid AC/DC Systems'. Together they form a unique fingerprint.Projects
- 1 Finished
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Fellowship - Multi-Vector Energy Distribution System Modelling and Optimisation with Integrated Demand Side Response
Gu, C. (PI)
Engineering and Physical Sciences Research Council
1/09/14 → 31/08/17
Project: Research council