Since the emergence of power market, the target of power generating utilities has mainly switched from cost minimization to revenue maximization. They dispatch their power energy generation units in the uncertain environment of power market. As a result, multi-stage stochastic programming has been applied widely by many power generating agents as a suitable tool for dealing with self-scheduling...

This study establishes a new approach to analyzing the economic impacts of vehicle-to-grid (V2G) regulation by simulating the restrictions arising from unpredictable mobility requests by vehicle users. A case study for Germany using average daily values (in the following also called the „static‟ approach) and a dynamic simulation including different mobility use patterns are presented. Comparin...

This paper presents a mixed integer programming based approach for optimal placement of DC model of Unified Power Flow Controller in the deregulated electricity environment. The method accounts for DC load flow equations taking constraints on generation, line flow, and UPFC parameters. The security of transactions has become important issue to reserve the available transfer capability. Therefor...

We investigate the welfare implications of operating alternative market structures known as electronic crossing networks or “dark pools” alongside traditional “lit” markets. We study equilibria of a market where intrinsic traders and speculators, endowed with heterogeneous fine-grained information, endogenously choose between dark and lit venues. We establish that while the dark pool attracts r...

In a deregulated electricity market, CM is one of the key functions of a System Operator (SO) as congestion threatens system security and may cause rise in electricity price resulting in market inefficiency. Rescheduling generations and demands is an effective tool to relieve congestion. This paper presents a congestion management (CM) algorithm by optimal rescheduling of active powers of gener...