Review of economic dispatch in multi-area power system: State-of-the-art and future prospective
Efficient and cost-effective coordination of online generation facilities is essential to the
reliable operation multi-area power system (PS) especially in a deregulated environment …
reliable operation multi-area power system (PS) especially in a deregulated environment …
A strategic review of electricity systems models
Electricity systems models are software tools used to manage electricity demand and the
electricity systems, to trade electricity and for generation expansion planning purposes …
electricity systems, to trade electricity and for generation expansion planning purposes …
Economic dispatch using hybrid grey wolf optimizer
This paper presents the application of one of the latest swarm intelligence algorithms, the
grey wolf optimizer, for solving economic dispatch problems that are nonlinear, non-convex …
grey wolf optimizer, for solving economic dispatch problems that are nonlinear, non-convex …
Power system optimization
DP Kothari - 2012 2nd National conference on computational …, 2012 - ieeexplore.ieee.org
Electric power systems have experienced continuous growth in all the three major sectors of
the power system namely, generation, transmission and distribution. Electricity cannot be …
the power system namely, generation, transmission and distribution. Electricity cannot be …
Dynamic economic dispatch of a microgrid: Mathematical models and solution algorithm
H Wu, X Liu, M Ding - International Journal of Electrical Power & Energy …, 2014 - Elsevier
Dynamic economic dispatch of a microgrid is better suited to the requirements of a system in
actual operation because it not only considers the lowest cost in a scheduling cycle but also …
actual operation because it not only considers the lowest cost in a scheduling cycle but also …
Environmental/economic power dispatch using a fuzzified multi-objective particle swarm optimization algorithm
L Wang, C Singh - Electric Power Systems Research, 2007 - Elsevier
The environmental issues that arise from the pollutant emissions produced by fossil-fueled
electric power plants have become a matter of concern more recently. The conventional …
electric power plants have become a matter of concern more recently. The conventional …
Advancements in Q‐learning meta‐heuristic optimization algorithms: A survey
This paper reviews the integration of Q‐learning with meta‐heuristic algorithms (QLMA) over
the last 20 years, highlighting its success in solving complex optimization problems. We …
the last 20 years, highlighting its success in solving complex optimization problems. We …
Optimal multi-operation energy management in smart microgrids in the presence of ress based on multi-objective improved de algorithm: Cost-emission based …
Today, in various leading power utilities in develo** countries, achieving optimal
operational energy management and planning, taking into account the costs reduction of …
operational energy management and planning, taking into account the costs reduction of …
Solution of an economic dispatch problem through particle swarm optimization: a detailed survey-part I
A number of modern metaheuristic optimization techniques are being exploited to work out a
single-objective economic dispatch (ED) problem. The dispatch problems even become …
single-objective economic dispatch (ED) problem. The dispatch problems even become …
Multi-objective optimal dispatch of microgrid containing electric vehicles
X Lu, K Zhou, S Yang - Journal of cleaner production, 2017 - Elsevier
As an important part of smart grid optimizations, optimal dispatch of microgrid is of great
significance to reduce energy consumption, environmental pollution and user's electricity …
significance to reduce energy consumption, environmental pollution and user's electricity …