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 …
State-of-the-art of optimal active and reactive power flow: A comprehensive review from various standpoints
Optimal power flow (OPF), a mathematical programming problem extending power flow
relationships, is one of the essential tools in the operation and control of power grids. To …
relationships, is one of the essential tools in the operation and control of power grids. To …
[HTML][HTML] Multi-objective optimization of energy arbitrage in community energy storage systems using different battery technologies
The power system requires an additional amount of flexibility to process the large-scale
integration of renewable energy sources. Community Energy Storage (CES) is one of the …
integration of renewable energy sources. Community Energy Storage (CES) is one of the …
A novel hybrid self-adaptive heuristic algorithm to handle single-and multi-objective optimal power flow problems
The optimal power flow (OPF) is a key tool in the planning and operation of power systems,
and aims to optimize the operational costs involved in the production and transport of energy …
and aims to optimize the operational costs involved in the production and transport of energy …
An efficient particle swarm optimization algorithm to solve optimal power flow problem integrated with FACTS devices
Optimal power flow (OPF) is one of the most important tools in power system operation and
control, which determines the minimum operating cost and retains the control variables in …
control, which determines the minimum operating cost and retains the control variables in …
Learning-based elephant herding optimization algorithm for solving numerical optimization problems
The elephant herding optimization (EHO) is a recent swarm intelligence algorithm. This
algorithm simulates the clan updating and separation behavior of elephants. The EHO …
algorithm simulates the clan updating and separation behavior of elephants. The EHO …
Short-term hydro-thermal-wind-photovoltaic complementary operation of interconnected power systems
X Wang, J Chang, X Meng, Y Wang - Applied Energy, 2018 - Elsevier
With the booming expansion of new energy such as wind and solar energy, the increasing
curtailment of new energy power has severely hindered its further development. In this …
curtailment of new energy power has severely hindered its further development. In this …
[HTML][HTML] Solving multi-objective economic emission dispatch of a renewable integrated microgrid using latest bio-inspired algorithms
The concept of a microgrid system, when put in simple words, is a small scale generation
and deployment of power to a small geographical area in order to avoid transmission losses …
and deployment of power to a small geographical area in order to avoid transmission losses …
GIS-based multi-objective particle swarm optimization of charging stations for electric vehicles
The rapid development of electric vehicles can greatly alleviate the environmental problems
and energy tension. However, the lack of public supporting facilities has become the biggest …
and energy tension. However, the lack of public supporting facilities has become the biggest …
Dynamic environmental economic dispatch of hybrid renewable energy systems based on tradable green certificates
X Li, W Wang, H Wang, J Wu, X Fan, Q Xu - Energy, 2020 - Elsevier
China is accelerating the formulation of a renewable portfolio standard to promote the
development and utilization of renewable energy. The implementation of the standard and …
development and utilization of renewable energy. The implementation of the standard and …