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Smart distribution network voltage estimation using PMU technology considering zero injection constraints
Swathi Tangi1, D N Gaonkar2, Ramakrishna S S Nuvvula3
1Department of Electrical and Electronics Engineering, Manipal Instiute of Technology (MIT), Manipal Academy of Higher Education (MAHE), Manipal, India.
Plos One
|March 25, 2024
Summary
This study introduces a new method for power system control using Phasor Measurement Units (PMUs). It improves state estimation by accurately handling zero injection (ZI) data, enhancing grid monitoring and protection.
Area of Science:
- Electrical Engineering
- Power Systems Analysis
- Network Monitoring
Background:
- Phasor Measurement Units (PMUs) are crucial for real-time power system monitoring and control.
- Conventional state estimation methods struggle with zero injection (ZI) measurements, leading to computational errors.
- Accurate power grid control requires efficient handling of diverse measurement types.
Purpose of the Study:
- To develop a novel method for power system state estimation that strictly satisfies zero injection criteria.
- To improve the computational efficiency of calculating voltage profiles and network observability.
- To optimize Phasor Measurement Unit (PMU) placement in distribution networks.
Main Methods:
- A new state estimation approach designed to strictly enforce zero injection constraints.
- Calculation of voltage profiles and network observability using the proposed method.
- Simulation of standard IEEE distribution networks using MATLAB for validation.
Main Results:
- The proposed method successfully satisfies zero injection criteria without compromising computing efficiency.
- Accurate voltage profile and observability calculations were achieved for distribution networks.
- Assessment of the impact of ZI buses on system voltage profiles was performed.
Conclusions:
- The study presents an efficient method for power system state estimation, particularly addressing challenges with zero injection data.
- The findings simplify the determination of optimal PMU locations and assess ZI bus impacts.
- This research contributes to enhanced power distribution system monitoring and control.
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