Modelling an Adaptable Multi-Objective Fuzzy Expert System Based Transmission Network Transfer Capacity Enhancement
| Title | Modelling an Adaptable Multi-Objective Fuzzy Expert System Based Transmission Network Transfer Capacity Enhancement |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Ifedayo, Oladeji R., Zamora, Ramon, Lie T., Tek |
| Conference Name | 2019 Australian New Zealand Control Conference (ANZCC) |
| Keywords | Collapse Voltage, continuous power flow techniques, CPF techniques, distributed slack bus techniques, DSB techniques, expert systems, Expert Systems and Security, False Data Detection, fuzzy expert system membership functions, fuzzy system, fuzzy systems, Human Behavior, IEEE 30 bus system show, line suitability index, Load flow, LSI, multiobjective fuzzy expert system, Network losses, power engineering computing, power markets, power system security, power transmission economics, pubcrawl, Resiliency, Scalability, Security margin, steady state line power loss, thyristor applications, thyristor-controlled series capacitors, Transfer capacity, transmission network transfer capacity enhancement, TTC enhancement |
| Abstract | The need to enhance the performance of existing transmission network in line with economic and technical constraints is crucial in a competitive market environment. This paper models the total transfer capacity (TTC) improvement using optimally placed thyristor-controlled series capacitors (TCSC). The system states were evaluated using distributed slack bus (DSB) and continuous power flow (CPF) techniques. Adaptable logic relations was modelled based on security margin (SM), steady state and transient condition collapse voltages (Uss, Uts) and the steady state line power loss (Plss), through which line suitability index (LSI) were obtained. The fuzzy expert system (FES) membership functions (MF) with respective degrees of memberships are defined to obtain the best states. The LSI MF is defined high between 0.2-0.8 to provide enough protection under transient disturbances. The test results on IEEE 30 bus system show that the model is feasible for TTC enhancement under steady state and N-1 conditions. |
| DOI | 10.1109/ANZCC47194.2019.8945677 |
| Citation Key | ifedayo_modelling_2019 |
- multiobjective fuzzy expert system
- TTC enhancement
- transmission network transfer capacity enhancement
- Transfer capacity
- thyristor-controlled series capacitors
- thyristor applications
- steady state line power loss
- Security margin
- Scalability
- Resiliency
- pubcrawl
- power transmission economics
- power system security
- power markets
- power engineering computing
- Network losses
- False Data Detection
- LSI
- Load flow
- line suitability index
- IEEE 30 bus system show
- Human behavior
- fuzzy systems
- fuzzy system
- fuzzy expert system membership functions
- Expert Systems and Security
- expert systems
- DSB techniques
- distributed slack bus techniques
- CPF techniques
- continuous power flow techniques
- Collapse Voltage