Abstract
The power system planning and operation have always been challenging. However, with the advent of the new technologies, the traditional power grids are moving towards smarter and as a result, the planning and operational challenges will potentially increase further with the future grid. With the deployment of smart grids, the planning and operational paradigms of traditional power systems are require to be reviewed from a new prospective with system uncertainties of emerging technologies and their interactions. The smart grid technologies bring in new elements into in the system planning and operation including renewable energy sources, demand side management, dynamic line rating etc. The flow of large amount of data in a smart grid needs data monitoring and management to mitigate planning and operational uncertainties. The new and predicted challenges are required to be identified well in advance in order to ensure a secure, reliable and economic future with an evolving power grid. This chapter investigates the planning and operational challenges in a smart grid environment and discusses pathways impacts.
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- AGC:
-
Automatic Generation Control
- AI:
-
Artificial Intelligence
- AMI:
-
Advanced Metering Infrastructure
- ANN:
-
Artificial Neural Network
- DLR:
-
Dynamic Line Rating
- DSM:
-
Demand Side Management
- EMS:
-
Energy Management System
- ESS:
-
Energy Storage System
- ICT:
-
Information and Communication Technology
- LOLP:
-
Loss of Load Probability
- LTLF:
-
Long Term Load Forecasting
- MAPE:
-
Mean Absolute Percentage Error
- MLP:
-
Multi-Layer Perceptron
- MTLF:
-
Medium Term Load forecasting
- PMU:
-
Phasor Measurement Unit
- RTLF:
-
Real-Time Load Forecasting
- RES:
-
Renewable Energy Sources
- SCADA:
-
Supervisory Control and Data Acquisition
- STLF:
-
Short-Term Load Forecasting
- SVM:
-
Support Vector Machines
- VSTLF:
-
Very Short Term Load Forecasting
- WSN:
-
Wireless Sensor Network
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Khan, Z.A., Jayaweera, D. (2016). Planning and Operational Challenges in a Smart Grid. In: Jayaweera, D. (eds) Smart Power Systems and Renewable Energy System Integration. Studies in Systems, Decision and Control, vol 57. Springer, Cham. https://doi.org/10.1007/978-3-319-30427-4_9
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