Abstract
Renewable energy sources such as wind and solar
have received much attention in recent years, and large amount
of renewable generation is being integrated to the electricity
networks. A fundamental challenge in a power system operation
is to handle the intermittent nature of the renewable generation.
In this paper we present a stochastic programming approach
to solve a multiperiod optimal power flow problem under
renewable generation uncertainty. The proposed approach consists
of two stages. In the first stage, operating points for the
conventional power plants are determined. The second stage
realizes generation from the renewable resources and optimally
accommodates it by relying on the demand-side flexibilities and
limited available flexibilities from the conventional generating
units. The proposed model is illustrated on a 4-bus and a 39-
bus system. Numerical results show that with small flexibility
on the demand-side substantial benefits in terms of re-dispatch
costs can be achieved. The proposed approach is tested on all
standard IEEE test cases upto 300 buses for a wide variety of
scenarios.
Original language | English |
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Journal | IEEE Transactions on Smart Grid |
Volume | 7 |
Issue number | 3 |
Pages (from-to) | 1495-1503 |
ISSN | 1949-3053 |
DOIs | |
Publication status | Published - 2015 |
Keywords
- Demand response
- Optimal power flow
- Power system modelling
- Linear stochastic programming
- Smart grids
- Uncertainty
- Wind energy