Mixed GA-OPF based optimal procurement of energy and operating reserve in deregulated environment

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Abstract
Ancillary Services (AS) plays a vital role in a deregulated environment because these services act as the frontier of a power system. It helps to maintain the quality and safety of the supply. Operating Reserve (OR), as an important AS, has been considered in this work. This paper proposed a mixed Genetic Algorithm (GA)-Optimal Power Flow (OPF) mechanism can act as an effective tool for procurement of different services like energy and AS. The sequential clearing technique has been considered for procurement of Energy and OR an objective of cost minimization. Herein, the EM is cleared first in Energy Market (EM) followed by clearing of Operating Reserve Market (ORM). The proposed approach for obtaining the required service using mixed GA-OPF approach has been investigated by considering modified IEEE-30 bus test system.

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