학술논문

Integrating Risk Assessment into the Optimal Placement and Sizing of Distributed Generation and Capacitor Banks in Power Distribution Networks
Document Type
Conference
Source
2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 2023 IEEE International Conference on. :1-6 Jun, 2023
Subject
Components, Circuits, Devices and Systems
Engineering Profession
Power, Energy and Industry Applications
Transportation
Costs
Uncertainty
Wind energy
Capacitors
Power distribution
Voltage
Main-secondary
Capacitor banks
distributed generation
genetic algorithm
mixed integer linear programming
power distribution planning
risk assessment
Language
Abstract
This paper proposes a new methodology for determining the optimal size and location of shunt capacitor banks (CBs) and distributed generators (DGs) in power distribution systems. The proposed methodology considers uncertainties arising from demand forecasts, equipment failures, and the availability of primary energy resources for wind and solar plants. The methodology employs a master-slave configuration that first allocates DGs to minimize the risk of not serving the demand and then uses a mixed-integer linear mathematical model to obtain the sizes of DGs and the size and location of CBs to minimize losses. The proposed method outperforms deterministic methods and is effective in addressing the random nature of variables while improving the voltage profile and reducing technical losses. Results on a Brazilian system demonstrate the coherence of the proposed method with the level of uncertainties involved.