TS-Fuzzy Based Adaptive PEVs Charging Control for Smart Grid Frequency Stabilization Under Islanding Condition

AbstractThis paper presents Takagi-Sugeno (TS) fuzzy based adaptive charging power control of plug-in electric vehicles (PEVs) connected to smart grid, intended to improve the performance of frequency stabilization for smart grid and to reduce the impact on consumers from traditional stability solution, i.e. load shedding, especially when unintentional islanding of the system occurs. Simulation results using DIgSILENT reveal the performance and effectiveness of the proposed approach

Optimal Generation Scheduling of Power System for Maximum Renewable Energy Harvesting and Power Losses Minimization

This paper proposes an optimal generation scheduling method for a power system integrated with renewable energy sources (RES) based distributed generations (DG) and energy storage systems (ESS) considering maximum harvesting of RES outputs and minimum power system operating losses. The main contribution aims at economically employing RES in a power system. In particular, maximum harvesting of renewable energy is achieved by the mean of ESS management. In addition, minimum power system operating losses can be obtained by properly scheduling operating of ESS and controllable generations. Particle Swam Optimization (PSO) algorithm is applied to search for a near global optimal solutions. The optimization problem is formulated and evaluated taking into account power system operating constraints. The different operation scenarios have been used to investigate the effective of the proposed method via DIgSILENT PowerFactory software. The proposed method is examined with IEEE standard 14-bus and 30-bus test systems.

Power System Stabilizer Tuning Based on Multiobjective Design Using Hierarchical and Parallel Micro Genetic Algorithm

In order to achieve the optimal design based on some specific criteria by applying conventional techniques, sequence of design, selected locations of PSSs are critical involved factors. This paper presents a method to simultaneously tune PSSs in multimachine power system using hierarchical genetic algorithm (HGA) and parallel micro genetic algorithm (parallel micro-GA) based on multiobjective function comprising the damping ratio, damping factor and number of PSSs. First, the problem of selecting proper PSS parameters is converted to a simple multiobjective optimization problem. Then, the problem is solved by a parallel micro GA based on HGA. The stabilizers are tuned to simultaneously shift the lightly damped and undamped oscillation modes to a specific stable zone in the s-plane and to self identify the appropriate choice of PSS locations by using eigenvalue-based multiobjective function. Many scenarios with different operating conditions have been included in the process of simultaneous tuning so as to guarantee the robustness and their performance. A 68-bus and 16-generator power system has been employed to validate the effectiveness of the proposed tuning method

New heuristic-based design of robust power system stabilizers

This paper proposes a new robust design of power system stabilizers (PSSs) in a multimachine power system using a heuristic optimization method. The structure of each PSS used is similar to that of a conventional lead/lag stabilizer. The proposed design regards a multimachine power system with PSSs as a multi-input multi-output (MIMO) control system. Additionally, a multiplicative uncertainty model is taken into account in the power system representation. Accordingly, the robust stability margin can be guaranteed by a multiplicative stability margin (MSM). The presented method utilizes the MSM as the design specification for robust stability. To acquire the control parameters of PSSs, a control design in MIMO system is formulated as an optimization problem. In the selection of objective function, not only disturbance attenuation performance but also robust stability indices are considered. Subsequently, the hybrid tabu search and evolutionary programming (hybrid TS/EP) is employed to search for the optimal parameters. The significant effects of designed PSSs are investigated under several system operating conditions

連系電力系統の安定化のための制御可能な分散電源のメタヒューリスティック手法に基づくロバストな制御系設計

九州工業大学博士学位論文 学位記番号:工博甲第271号 学位授与年月日:平成20年9月30

Stabilization of Tie-Line Power Flow by Robust SMES Controller for Interconnected Power System With Wind Farms

This paper presents the use of superconducting magnetic energy storage (SMES) with robust controllers for stabilization of tie-line power flow in a longitudinally interconnected power system with wind farms. The high penetration of wind power with abrupt changes causes fluctuations of tie-line power flow and significantly affects the effective use of transmission lines. A simultaneous active and reactive power control scheme of SMES including a characteristic of SMES coil current is employed for realizing a permissible range of SMES operation. Moreover, a multiplicative uncertainty model is considered in the parameter optimization of robust SMES controllers by using a heuristic method. Finally, simulation results are carried out to show the effectiveness and robustness under various situations

A Practical Design of Fuzzy SMES Controller based on Synchronized Phasor Measurement for Interconnected Power System

Recently, fuzzy logic control has widely received attention in various power system applications, despite difficulties of obtaining its control rules and membership functions. Nowadays, power systems consist of multiple areas where load variations with abrupt changes always exist, and proper control rules and membership functions could hardly be achieved. This paper proposes a practical design of fuzzy logic controllers for superconducting magnetic energy storage (SMES) based on a wide area synchronized phasor measurement for enhancing the stability of an interconnected power system. Moreover, a heuristic method is applied for determining control rules and membership functions. The estimated model is determined via a simplified oscillation model for detection and assessment of an approximated inter-area oscillation mode. Finally, some simulation studies based on a two-area four-machine power system are carried out to examine the performance and effectiveness of the designed fuzzy SMES controller

A Practical Design of Fuzzy SMES Controller based on Synchronized Phasor Measurement for Interconnected Power System

Recently, fuzzy logic control has widely received attention in various power system applications, despite difficulties of obtaining its control rules and membership functions. Nowadays, power systems consist of multiple areas where load variations with abrupt changes always exist, and proper control rules and membership functions could hardly be achieved. This paper proposes a practical design of fuzzy logic controllers for superconducting magnetic energy storage (SMES) based on a wide area synchronized phasor measurement for enhancing the stability of an interconnected power system. Moreover, a heuristic method is applied for determining control rules and membership functions. The estimated model is determined via a simplified oscillation model for detection and assessment of an approximated inter-area oscillation mode. Finally, some simulation studies based on a two-area four-machine power system are carried out to examine the performance and effectiveness of the designed fuzzy SMES controller

Design and Analysis of Robust SMES Controller for Stability Enhancement of Interconnected Power System Taking Coil Size Into Consideration

In power applications, efficiency and effectiveness of SMES with proper control are promising and highly remarkable, however, quite costly. Accordingly, optimum design and utilization are essentially needed. This paper presents the design and analysis of robust SMES controller for stability enhancement of interconnected power system taking coil size into consideration. With lead/lag controller structure, parameters of robust SMES controller can be optimized by a metaheuristic method; meanwhile, a multiplicative uncertainty is included in the design to cope with system uncertainties. Lastly, aiming at achieving optimum design and utilization, robust controllers for SMES with different coil sizes are examined to investigate performance and robustness under different situations via simulation studies