Guest editorial: advances in control and decision for power and energy systems

As guest editors, we are delighted to introduce this special issue devoted to control and decision in power and energy systems. Over the last decades, the penetration level of intermittent renewable energy into power grid is continuously growing, while at the same time the load pattern is also under fast changes with the introduction of, for example, plug-in electric vehicles and smart electrical home appliances. The intermittency of renewable generation along with the variability of load pattern have imposed significant challenges on the power grid operation. Although the grid hybridisation and modernisation have a lot of environmental benefits, innovative technologies on power and energy systems modelling, simulation, control, optimisation, diagnosis and security/resiliency analysis are needed to ensure the stability and reliability of the future power grid. Another growing trend in the power grid is the integration of Distributed Energy Resources (DERs) including distributed generators, energy storages and demand response in power distribution systems. Traditionally, electric loads are usually passive and non-dispatchable. Recently, with the development of demand response techniques, electric loads can now be actively controlled to provide grid services. DERs have large population size and fast aggregate ramping rate, and thus, present an enormous potential to mitigate the uncertainty from renewable generation and accommodate large-scale renewable integration.

The purpose of this special issue is to provide a forum for cutting-edge developments on the control and decision theory with application in power and energy systems. The issue consists of six papers discussing optimal control, uncertainty quantification, demand responsive technique and economic analysis, as well as their application in power systems. The research topic ranges from grid reliability, demand response device and conventional electricity networks. In particular,¹ discusses the optimal control for maximum power output from wind plant^2,3; study the demand/load as dynamically controller ‘energy source’ and their economic and uncertainty analysis⁴; analyses the ferroresonance issue in electricity network from both simulation and experimental perspectives; application of advanced techniques are discussed.^5,6

We hope that readers will find this special issue informative, and that it can stimulate following research and breakthroughs in advanced control in power and energy systems to overcome the challenges introduced by renewable energy and hybridisation, leading to a safer, more reliable, and greener power and energy system.

Guest Editors
Jun Chen
Idaho National Laboratory, USA
Present address: General Motors, USA
[email protected]
Qin Wang
National Renewable Energy Laboratory, USA
Present address: Electric Power Research Institute, USA
[email protected]
Jianming Lian
Pacific Northwest National Laboratory, USA
[email protected]
Wanning Li
Southern California Edison, USA
[email protected]

Notes

1. Sensored and Sensorless Scalar-Control Strategy of a Wind-Driven BDFRG for Maximum Wind-Power Extraction.

2. Ensemble-Based Uncertainty Quantification for Coordination and Control of Thermostatically Controlled Loads.

3. Distributed Schemes for Efficient Deployment of Price-Responsive Demand with Partial Flexibility.

4. Simulation and Experimental Research on Methods to Suppress Ferroresonance in Potential Transformers.

5. Selection of suitable site in Pakistan for wind power plant installation using analytic hierarchy process (AHP).

6. Energy Optimization in the wake of China Pakistan Economic Corridor (CPEC).