Optimal operation of a virtual power plant in frequency constrained electricity market

In this study, optimal offering strategy problem of a virtual power plant (VPP) as a price-maker player in day-ahead frequency constrained electricity market is presented. The optimal offering strategy problem is modelled as a bi-level optimisation problem. In the upper-level problem, the total prof...

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Vydáno v:	IET generation, transmission & distribution Ročník 13; číslo 11; s. 2123 - 2133
Hlavní autoři:	Mousavi, Mohammad, Rayati, Mohammad, Ranjbar, Ali Mohammad
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	The Institution of Engineering and Technology 04.06.2019
Témata:	big‐number mathematical technique bi‐level optimisation problem day‐ahead frequency duality (mathematics) equilibrium constraints problem frequency constrained electricity market integer programming Karush–Kuhn–Tucker conditions linear programming lower‐level problem mathematical programming mixed‐integer linear programming problem MPEC problem optimal offering strategy problem optimal operation optimisation power markets price‐maker player pricing renewable energy sources Special Issue: Emerging Technologies for Virtual Power Plant and Microgrid strong duality theorem upper‐level problem virtual power plant VPP big-number mathematical technique frequency constrained electricity market renewable energy sources optimal offering strategy problem integer programming strong duality theorem virtual power plant linear programming upper-level problem bi-level optimisation problem MPEC problem mathematical programming mixed-integer linear programming problem optimal operation optimisation day-ahead frequency equilibrium constraints problem price-maker player Karush–Kuhn–Tucker conditions VPP duality (mathematics) power markets pricing lower-level problem
ISSN:	1751-8687, 1751-8695
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