AGC of dish‐Stirling solar thermal integrated thermal system with biogeography based optimised three degree of freedom PID controller

Int Trans Electr Energ Syst

2018

Summary During the past few decades, frequency regulation of combined cycle gas turbine (CCGT) has become an interesting issue of research. A larger power system model experiences many challenges when base‐loaded CCGT unit is incorporated in it. This article presents the load frequency regulation of CCGT model in conjunction with thermal units in an unequal 3‐area interconnected system. The control strategy of CCGT plant includes temperature and air flow controllers that are designed on the basis of minimization of area control error. The main drive of proposed control strategy is to successfully tackle the system dynamics during step and realistic load disturbances. The eigenvalues of proposed system commensurate with dynamic stability. A new metaheuristic algorithm known as stochastic fractal search has been applied for simultaneous optimization of classical controller (proportional [PI], proportional‐integral [PI] and proportional‐integral‐derivative [PID] gains, and other parameters such as governor speed regulation parameter [Ri], frequency bias [Bi]). Comprehensive simulations are performed to ensure stable system dynamics with easier and cheaper realization of governor, and higher values of Bi in respective areas and robustness of stochastic fractal search optimized PID controller.

Section: Results and Analysismentioning

confidence: 99%

Section: Selection Of Speed Regulation Parameters and Frequency Biamentioning

confidence: 99%

Automatic generation control of an interconnected CCGT-thermal system using stochastic fractal search optimized classical controllers

Saha

Int Trans Electr Energ Syst

2018

“…12,13 Practically, the solar insolation, which is the input to the solar plant, is intermittent in nature. From the literatures, [12,14,16, and] the input for STPP is a constant solar insolation (0.01 pu W/m 2 ) is considered.…”

Section: System Descriptionmentioning

confidence: 99%

“…where ΔP mech and ΔP elect are the incremental changes in mechanical and electrical power (MW). The capacitor dynamics in terms of voltage and DC power output is given by (14).…”

Section: System Descriptionmentioning

confidence: 99%

See 1 more Smart Citation

AGC of a multiarea system incorporating accurate HVDC and precise wind turbine systems

Babu

Int Trans Electr Energ Syst

2019

This article highlights the dynamic model of an accurate high‐voltage direct current (AHVDC) using inertia emulation control strategy of a transmission line in automatic generation control (AGC) of a multiarea different source system. The three‐area system composes of thermal and precise wind turbine system using fixed and random wind velocities in areas 1 and 2. Area 3 composes of thermal and solar thermal power plants. Governor dead band and appropriate generation rate constraints are considered for thermal systems. A new fractional‐order cascaded controller named as fractional‐order proportional‐integral cascaded with fractional‐order integral derivative with filter (FOPI‐FOIDN) is used as a secondary controller. The controller gains and other parameters are optimized by using crow search algorithm in AGC studies for the first time. Comparison of system dynamics with various fractional‐order controllers and proposed FOPI‐FOIDN controller while considering one at a time reveals better dynamic performance of the latter. Comparison of dynamic response of the system with AC tie‐line, AHVDC tie‐line, and parallel combination of AC‐AHVDC tie‐lines while considering one at a time reveals better performance of the latter. The optimum location of AHVDC tie‐line in parallel AC tie‐line is found in the area where the system is disturbed.

Impact of electric vehicles and realistic dish‐Stirling solar thermal system on combined voltage and frequency regulation of multiarea hydrothermal system

Dekaraja

2022

Energy Storage

The effective and reliable operation of an interconnected power system (PS) is a major concern, because of the large amount of power contribution from the intermittent renewable energy sources to the power grid. Energy storage (ES) devices are employed to enhance the reliability of the PS operation. Electric vehicles (EVs) are a novel type of distributed ES device that may be utilized to compensate for power imbalances. This paper discusses the participation of EVs for combined frequency and voltage control under conventional PS along with a thermal, hydro, realistic dish‐Stirling solar thermal system (RDSTS). Appropriate physical constraints such as governor dead band and generation rate constraints are equipped with thermal and hydro plants, and communication delay between the generating unit and load dispatch center is considered. An aggregate EVs model, RDSTS, and a new cascade controller named fractional‐order proportional‐derivative with filter coefficient cascaded with tilt‐integral‐derivative (CFOPDN‐TID) controller are provided in all areas for various studies. An artificial flora algorithm is employed to determine the optimal value of the various controller parameters under several scenarios. The system dynamics of the CFOPDN‐TID controller outperform the proportional‐integral‐derivative (PID) and TID controllers under various conditions. The incorporation of EVs improves the system performance in terms of less settling time, and peak deviation, and reduce oscillations. The system performance degrades with increases in the communication time delay of the EVs. The integration of RDSTS into the system provides better dynamics than the dish‐Stirling solar thermal system. Numerous studies have been conducted to validate the robustness of the proposed CFOPDN‐TID controller.