This paper presents a method for coordinated network expansion planning (CNEP) in which the difference between total cost and flexibility benefit is minimized. In proposed method, generation (GEP) of wind farms with transmission (TEP) problem by using energy storage systems (ESSs) to improve flexibility. To consider impact reactive power CNEP problem, AC flow model used. The constraints include...

This paper presents a novel concept of utilizing the photo voltaic solar farm inverter as STATCOM(Static Compensator), named PV-STATCOM, in order to improve the voltage profile of the power system. The entire STATCOM is able to transmit either active or reactive power into the grid. This system is connected to a 14 BUS IEEE standard grid as a case study to simulate the performance of the system...

In this paper an attempt has been made to determine Economic Load Dispatch (ELD) using Hybrid (FF-DE) and FF techniques. The methods for ELD evaluation are developed considering fuel cost of the system. Economic Load Dispatches are calculated using FF-DE technique without violating the reactive power constraints of the system. Most of the studies related to ELD use traditional methods based on ...

In this paper, a new Bio-inspired algorithm, namely kudu herd algorithm (KHA) is proposed for solving reactive power dispatch problem. A population of candidate solution approach as a herd of kudus carries out a succession of jumps through the search space in order to find the most excellent solution. The logic of this algorithm is quite different from that of most population based algorithms, ...

The paper presents an (ACSA) Ant colony search Algorithm for Optimal Reactive Power Optimization and voltage control of power systems. ACSA is a new co-operative agents’ approach, which is inspired by the observation of the behavior of real ant colonies on the topic of ant trial formation and foraging methods. Hence, in the ACSA a set of co-operative agents called “Ants” co-operates to find goo...

The power system operation considering energy storage systems (ESS) and renewable represents a challenge. In 24-hour economic dispatch, the generation resources are dispatched to meet demand requirements network restrictions. uncertainty unpredictability associated with challenges for due operational economical This paper develops detailed formulation model sources period. is formulated evaluat...

This paper proposes a predictive techno-economic analysis in terms of voltage stability and cost using regression-based machine learning (ML) models effectiveness the is validated. Predictive power system proposed to address need for faster accurate analyses that would aid operation control modern system. Several methods including metaheuristic optimization algorithms, artificial intelligence t...

In this paper, a multi-objective reconfiguration problem has been solved simultaneously by a modified ant colony optimization algorithm. Two objective functions, real power loss and energy not supplied index (ENS), were utilized. Multi-objective modified ant colony optimization algorithm has been generated by adding non-dominated sorting technique and changing the pheromone updating rule of ori...