Particle Swarm Optimization-Based Power and Temperature Control Scheme for Grid-Connected DFIG-Based Dish-Stirling Solar-Thermal System

Abstract

Variable-speed operation of a dish-Stirling (DS) concentrated solar-thermal power generating system can achieve higher energy conversion efficiency compared to the conventional fixed-speed operation system. However, tuning of the controllers for the existing control schemes is cumbersome due to the presence of a large number of control parameters. This paper proposes a new control system design approach for the doubly-fed induction generator (DFIG)-based DS system to achieve maximum power point tracking and constant receiver temperature regulation. Based on a developed thermo-electro-pneumatic model, a coordinated torque and mean pressure control scheme is proposed. Through steady-state analysis, the optimal torque is calculated using the measured insolation and it serves as the tracking reference for direct torque control of the DFIG. To minimize the tracking error due to temperature variation and the compressor loss of the hydrogen supply system, four optimal control parameters are determined using particle swarm optimization (PSO). Model-order reduction and the process of the pre-examination of system stability are incorporated into the PSO algorithm, and it effectively reduces the search effort for the best solution to achieve maximum power point tracking and maintain the temperature around the set-point. The results from computational simulations are presented to show the efficacy of the proposed scheme in supplying the grid system with smoothened maximum power generation as the solar irradiance varies.

A review of swarm-based metaheuristic optimization techniques and their application to doubly fed induction generator

“…It was also observed that the FLWRBFN with PSO-DE also produced the overall best convergence rate. PSO was applied to a DFIG based dish Stirling system in for maximum power point tracking and regulation of receiver temperature in [73] . A control scheme based on average pressure control and coordinated torque was proposed.…”

Combined Primary Frequency and Virtual Inertia Response Control Scheme of a Variable-Speed Dish-Stirling System

“…As shown in Fig. 1, the VSDS system under investigation features four sub-systems [31]: 1) a heat collection system consisting of a parabolic dish, a receiver, and absorbers; 2) a double-acting kinematic Stirling engine; 3) a variable-speed electric generator, and 4) a mean pressure control (MPC) system. Its system-level model was developed in [11,32], where the accuracy of the model had been verified by comparing the simulation results obtained using this model with those yielded by a high-order benchmark model derived based on thermodynamics principles.…”

Performance Analysis of a Stirling Engine Hybrid Power System

“…Combined methodologies using the three parameters previously mention such as the optimization of geometric and operating parameters of a beta Stirling engine [40], the development of an experimental free-piston engine used in a micro combined heat and power system [41], and the implementation of a new control method related to a variable-speed operation of a dish Stirling system [42].…”