Control optimisation for pumped storage unit in micro‐grid with wind power penetration using improved grey wolf optimiser

Zhang, Yuncheng; Zhou, Jianzhong; Zheng, Yuan; Xu, Yanhe

doi:10.1049/iet-gtd.2016.1537

Cited by 29 publications

(21 citation statements)

References 28 publications

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“…3) Complementary constraints obtained based on lowerlevel inequalities (3), (4), (8), (9), (13), (16), (19), (21), (24), (26), (28), (31), (32), (37), and (38).…”

Section: ) Application Of Kkt Conditions To Lower-level Problemmentioning

confidence: 99%

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Coalition Formation of Microgrids with Distributed Energy Resources and Energy Storage in Energy Market

Valinejad

Marzband

Korkali

et al. 2020

Journal of Modern Power Systems and Clean Energy

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Power grids include entities such as home-microgrids (H-MGs), consumers, and retailers, each of which has a unique and sometimes contradictory objective compared with others while exchanging electricity and heat with other H-MGs. Therefore, there is the need for a smart structure to handle the new situation. This paper proposes a bilevel hierarchical structure for designing and planning distributed energy resources (DERs) and energy storage in H-MGs by considering the demand response (DR). In general, the upper-level structure is based on H-MG generation competition to maximize their individual and/or group income in the process of forming a coalition with other H-MGs. The upper-level problem is decomposed into a set of low-level market clearing problems. Both electricity and heat markets are simultaneously modeled in this paper. DERs, including wind turbines (WTs), combined heat and power (CHP) systems, electric boilers (EBs), electric heat pumps (EHPs), and electric energy storage systems, participate in the electricity markets. In addition, CHP systems, gas boilers (GBs), EBs, EHPs, solar thermal panels, and thermal energy storage systems participate in the heat market. Results show that the formation of a coalition among H-MGs present in one grid will not only have a significant effect on programming and regulating the value of the power generated by the generation resources, but also impact the demand consumption and behavior of consumers participating in the DR program with a cheaper market clearing price.

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“…3) Complementary constraints obtained based on lowerlevel inequalities (3), (4), (8), (9), (13), (16), (19), (21), (24), (26), (28), (31), (32), (37), and (38).…”

Section: ) Application Of Kkt Conditions To Lower-level Problemmentioning

confidence: 99%

“…The objective of this paper is first to propose a base framework for the demand of consumers encompassing H-MGs, and second, to determine profits that can be made from independently operating H-MGs or in a coalitional structure in a daily energy-hub market [15], [16]. Energyhub markets have been investigated in various models.…”

Section: Introductionmentioning

confidence: 99%

Coalition Formation of Microgrids with Distributed Energy Resources and Energy Storage in Energy Market

Valinejad

Marzband

Korkali

et al. 2020

Journal of Modern Power Systems and Clean Energy

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“…In this paper, the efficiencies of the GWO and ABC algorithms are evaluated by solving optimisation problem. The numerical simulation results demonstrate that GWO and ABC are very competitive compared with the state-of-the-art optimisation methods [7][8][9][10][11][12]. Ramadan et al have applied the ABC algorithm and MBA for scheduling the optimal gains of the robust non-linear sliding mode control (SMC) for the voltage-source converters (VSC) high-voltage direct current systems.…”

Section: Literature Reviewmentioning

confidence: 99%

Experimental behaviour analysis for optimally controlled standalone DFIG system

Soued

Chabani

Becherif

et al. 2019

IET Electric Power Applications

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Metaheuristic optimisation techniques such as the Grey Wolf optimiser (GWO) and artificial bee colony (ABC) algorithms have been developed for enhancing the dynamic behaviour of wind energy conversion system. The stand-alone doubly fed induction generator (DFIG) control system based on the direct voltage control is experimentally validated for the robust independent control of the stator voltage amplitude and the consequent rotor current regulation. The GWO and ABC are used for selecting the optimal gains of the proportional-integral (PI) regulator to improve the dynamic performance and the robust stability of the DFIG system in the presence of step voltage variation and sudden load operation. Through, MATLAB™/ Simulink numerical simulations, the dynamic performances of the GWO-PI and ABC-PI applied to stand-alone DFIG systems are compared with the conventional PI controller under different disturbances. Using a 3 kW DFIG test bench DSPACE DS1104 card prototype, the experimental validation justifies the superiority of proposed novel GWO-PI and ABC-PI controllers over the conventional PI control in terms of steady-state errors, maximum overshoots, settling time and rise time.

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“…Lai et al used the artificial flock algorithm to optimize the control of PSU [28]. Zhang et al proposed a novel chaotic grey wolf optimization algorithm to select the optimal control parameters of the pump turbine governing system [29]. Gravitational search algorithm (GSA) is a new intelligent optimization algorithm proposed by Rashedi et al [30].…”

Section: Introductionmentioning

confidence: 99%

Characteristic Analysis and Optimal Regulation of Primary Frequency Regulation Condition in Low Water Head Area Based on Hydraulic-Mechanical-Electrical Coupling Model of Pumped Storage Unit

et al. 2020

Complexity

Self Cite

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Pumped storage power station is an important regulating tool for peak load regulation and frequency regulation of the power grid, especially its primary frequency regulation function, which is of profound significance for the safety and stability of the power grid. As the core equipment of the pumped storage power station, the reversible design of the pump turbine makes it easy to have hydraulic fluctuation and mechanical instability when the unit runs to the “S” characteristic area, which will cause the frequency oscillation of the generator under the condition of primary frequency regulation. Therefore, some innovative work is studied in this paper: (1) an accurate hydraulic-mechanical-electrical coupling system mathematical model of pumped storage unit regulation system (PSURS) is established based on full characteristic curve of the pump turbine and seventh-order synchronous generator and excitation system; (2) the dynamic response characteristics of primary frequency regulation of pumped storage unit (PSU) under different water heads and different frequency disturbances are analyzed by numerical simulation; (3) in view of the unstable condition of the unit under the large frequency disturbance when it operates in the low head and small load area, the objective optimization function considering the ITAE index of hydraulic, mechanical, and electrical factors is proposed; and (4) fractional-order PID controller and the bacterial-foraging chemotaxis gravitational search algorithm (BCGSA) combined optimization strategy is used for PSURS optimization regulation and parameter optimization. The results show that the joint optimization strategy proposed in this paper has smaller objective function value, and makes the PSURS pass through the unbalanced area quickly, with better primary frequency regulation speed and smaller regulation depth.

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Control optimisation for pumped storage unit in micro‐grid with wind power penetration using improved grey wolf optimiser

Cited by 29 publications

References 28 publications

Coalition Formation of Microgrids with Distributed Energy Resources and Energy Storage in Energy Market

Coalition Formation of Microgrids with Distributed Energy Resources and Energy Storage in Energy Market

Experimental behaviour analysis for optimally controlled standalone DFIG system

Characteristic Analysis and Optimal Regulation of Primary Frequency Regulation Condition in Low Water Head Area Based on Hydraulic-Mechanical-Electrical Coupling Model of Pumped Storage Unit

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