| نویسندگان | Mostafa Vahedipour-Dahraie |
| نشریه | IEEE Access |
| شماره صفحات | 21475-21585 |
| شماره سریال | 10 |
| شماره مجلد | 1 |
| نوع مقاله | Full Paper |
| تاریخ انتشار | 2022 |
| نوع نشریه | چاپی |
| کشور محل چاپ | ایران |
| نمایه نشریه | ISI،JCR،Scopus |
| کلید واژه ها | bi, level model, distribution, level energy market (DLEM), distribution network (DN), optimal offering strategy, wind power producer (WPP) |
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چکیده مقاله
This paper presents an optimal bidding strategy for a strategic wind power producer (WPP) in a
distribution-level energy market (DLEM). The behavior of the WPP is modelled through a bi-level stochastic
optimization problem where the upper-level problem maximizes the profit of the WPP and the lower-level
problem describes the clearing processes of the DLEM while considering network constraints. The bi-level
problem is a stochastic mathematical program with equilibrium constraints (MPEC) that is formulated as a
mixed-integer linear programming (MILP) problem. The main focus of this study is investigating prosumers’
impact on the market power of the strategic WPP in a DLEM structure. In this model, the effect of flexible
prosumers from the aspects of demand response (DR) participants and photovoltaic penetration level (PVPL)
on the WPP’s offering strategy is investigated. Moreover, the impact of bilateral contract on the market power
of the strategic WPP and the cleared prices of the network is addressed. The proposed model is implemented
in an IEEE 33-bus and numerical results illustrate how behavior of flexible prosumers and PVPL index
affect the decision making of the strategic WPP when network constraints are considered. Numerical results
show that by active participation of prosumers in DR programs, the reliance of DLEM on the strategic WPP
reduces. Moreover, if the WPP participates in bilateral contracts, its offering to the DELM decreases, and as
the result, the cleared prices augment indicating market power of the WPP