Summary
The trend of today's power system is to incorporate more green power in the conventional grid to mitigate the power demand and to minimize environmental pollution. This paper proposes a multi‐energy system with wind thermal–pump storage plant aiming to minimize the total cost of operation. In this paper, a forecasted data of wind speed is considered. Because of the variable nature of wind power, real‐time generation scheduling may lead to deviation of forecasted thermal power generation. This paper works on a power management strategy (PMS) where the gap between the day‐ahead scheduled thermal power and the real‐time scheduled power is minimized optimizing the operation cost. Cultural algorithm (CA) is used here very efficiently in a modified UI 62 bus. It is observed from the simulation results that the proposed strategy can effectively reduce the power deviation fluctuations with reducing the operating as well as runtime cost. A comparison of total cost between CA and particle swarm optimization (PSO) is drawn in this paper to observe the efficacy of the proposed method.
This paper presents a cultural algorithm based technique to achieve the optimal size and placement of Static Var Compensators (SVCs) in a power system. A multiobjective reactive power problem is chosen here to establish the feasibility of the algorithm. Two objective functions are proposed for reducing the SVC investment cost while minimizing the active power loss but maintaining voltage stability. The complexity of the multiobjective problem is solved using Pareto optimization. The results of IEEE 30-bus test system show that the proposed algorithm gives a lower power loss and greater voltage stability in comparison to base value.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.