Abstract Optimal reactive power dispatch (ORPD) plays a significant role in the control and smooth operation of system through enhancement network’s reliability, security, economic aspects. This paper presents bibliometric visual analysis ORPD-related research articles extracted from Web Science (WoS) database its inception to October 29, 2019. A total 263 drawn 166 journals, published between ...

In this paper authors have used mixed heuristic and evolutionary technique for solving the reactive power problem. In doing so, power system control variables are treated as planning & dispatch variables. All the variables of the reactive power optimization problem do not involve cost. The variables which does not involve cost treated as dispatch variable and those involve cost are treated as p...

This paper proposes a Trust-Region Based Augmented Method (TRALM) to solve a combined Environmental and Economic Power Dispatch (EEPD) problem. The EEPD problem is a multi-objective problem with competing and non-commensurable objectives. The TRALM produces a set of non-dominated Pareto optimal solutions for the problem. Fuzzy set theory is employed to extract a compromise non-dominated sol...

With the development of concentrated wind power areas, new energy’s dispatching problems are more prominent with its fast expansion. However, we can maximize the utilization of wind power under power curtailment conditions by optimal wind power dispatching. The paper studies on the basic theories of wind power turbines, and analyses the power’s control and output characteristics of wind turbine...

During normal operation, doubly-fed induction generator (DFIG) can generate certain range of reactive power according to the requirements of the power grid. According to the active power order from power dispatching center, a kind of wind turbines scheduling solution which also suits the actual operation situation of “three-north” area wind farms in China is proposed. This solution makes it pos...

In this paper particle swarm optimization (PSO) algorithm is proposed to optimize Combined Economic emission Dispatch Problem (CEEDP)of thermal units. Combined Economic emission Dispatch Problem (CEEDP is used to minimize both total fuel cost of generation and the emission of toxic gases of the thermal generating units simultaneously while satisfying the load demand and constraints of the syste...

This paper presents quasi-oppositional differential evolution to solve reactive power dispatch problem of a power system. Differential evolution (DE) is a population-based stochastic parallel search evolutionary algorithm. Quasi-oppositional differential evolution has been used here to improve the effectiveness and quality of the solution. The proposed quasi-oppositional differential evolution ...