Journal
ENERGY SCIENCE & ENGINEERING
Volume 5, Issue 3, Pages 167-179Publisher
WILEY
DOI: 10.1002/ese3.157
Keywords
Distributed generation; distribution systems; electric vehicle charging; operation cost; power balancing; quadratic rotated cone programming
Categories
Funding
- Natural Science Foundation of Guangdong [2014A030313509, S2013010012431]
- National High Technology Research and Development of China (863 Program) [2007AA04Z197]
- Specialized Research Fund for the Doctoral Program of Higher Education [20094501110002]
- National Natural Science Foundation of China [50767001]
- Guangdong special fund for public welfare study and ability construction [2014A010106026]
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A power balancing method of distributed generation (DG) and electric vehicle charging is presented for minimizing operation costs of distribution systems with uncertainties, which includes the uncertainties in output power of DG and the randomness of charging power of electric vehicles (EV). A probability model is established for the uncertain characteristics of DG and electric vehicle charging. A multi-state optimization coordination method for DG of renewable energy systems and electric vehicle charging in distribution systems based on quadratic rotation cone programming is presented to minimize the expected generation cost of generators in the main power grid, the expected operation cost of DG systems in distribution systems, and the expected social outage loss. An objective function maximizing the operation efficiency of distribution systems with DGs and EVs is proposed. Using quadratic rotated conic programming, the nonlinear objective function and constraint functions are transformed into a linear form. An IEEE 14-node distribution system is used as a study example to illustrate adaptability of the proposed model and the feasibility of the proposed method. The simulation results show that the proposed method simplifies the original problem of the optimization problem and makes its solution faster, more stable, and better.
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