Multi-objective optimization, design and performance analysis of an advanced trigenerative micro compressed air energy storage system

Jiang, Runhua; Yin, Huiming; Peng, Kewen; Xu, Yongjun

doi:10.1016/j.enconman.2019.02.071

Cited by 61 publications

(20 citation statements)

References 42 publications

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“…The deteriorative degree of the indexes i.e. C 1 , C 3 , C 5 -C 9 , C 11 , C 13 can be calculated with (28), while the deteriorative degree of the indexes C 4 , C 10 , C 12 can be calculated with (29).…”

Section: Stage Three: Decision Makingmentioning

confidence: 99%

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Coordinated Multi-Objective Optimization for Multiple Trade-Offs in Pumped Outage Condition of Pumped Storage System

Zhao

Yang

et al. 2019

IEEE Access

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The transient process of pumped storage system (PSS) experienced pump mode, turbine mode and switching mode in pumped outage condition, spanning hump zone and S-shaped region. The conflicting dynamic indicators make it difficult to meet the requirements of the transient process. How to specify optimal operating strategies and improve the reliability of PSS in the pumped outage condition has become a key issue. This problem is addressed in this work based on coordinated multi-objective optimization, and three stages are included: nonlinear modeling, strategy optimization and decision making. A tradeoff is embodied in each stage. Firstly, the real-time accurate equivalent circuit model is applied for PSS. The spatiotemporal discrete analysis is presented to enable the trade-off between computing efficiency and model accuracy in stage 1. Then, the neighborhood-search chaotic mutation multi-objective gravitational search algorithm, integrating multiple constraints, is performed to solve the Pareto front. It achieves the trade-off between algorithm convergence and searching diversity in stage 2. Further, fuzzy analytic hierarchy process is innovatively introduced to select the most compatible solution, which comprehensively considers the quantitative and qualitative factors. It accomplishes the trade-off in conflicting objectives and indicators in stage 3. Compared with the on-site operation in pumped outage condition, the maximum reversing speed decreased from 545 rpm to 161.45 rpm, the maximum water pressure of volute can be reduced by 4.55%, and the minimum draft tube pressure can be improved by 6.94%. The coordinated multi-objective optimization provides a novel technical guidance for the safe and stable operation of PSS.

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Section: Stage Three: Decision Makingmentioning

confidence: 99%

“…The PSS is complex time-varying system integrated with pipeline system, pumped turbine and governor. It is obviously one-sided to select scheme by relying only on the objective functions [29]. Hence, how to choose the best compatibility solution becomes a comprehensive multi-criteria decision-making problem.…”

Section: Introductionmentioning

confidence: 99%

Coordinated Multi-Objective Optimization for Multiple Trade-Offs in Pumped Outage Condition of Pumped Storage System

Zhao

Yang

et al. 2019

IEEE Access

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“…At present, different energy storage techniques are mainly used for RE‐based power generation schemes such as pump‐hydro storage (PHS), 26‐32 flywheel energy storage, 33‐37 compressed air energy storage (CAES), 38‐45 battery, 46‐54 capacitor, 55‐59 supercapacitor, 55,56,60‐62 superconducting magnetic energy storage, 63‐66 aquifer thermal energy storage, 67‐71 cryogenic energy storage, 72‐74 and high temperature thermal energy storage 75,76 . Battery storage has been extensively used in RE applications due to its compactness, easy installation, and worldwide availability.…”

Section: Introductionmentioning

confidence: 99%

“…At present, different energy storage techniques are mainly used for RE-based power generation schemes such as pump-hydro storage (PHS), [26][27][28][29][30][31][32] flywheel energy storage, [33][34][35][36][37] compressed air energy storage (CAES), [38][39][40][41][42][43][44][45] battery, [46][47][48][49][50][51][52][53][54] capacitor, [55][56][57][58][59] supercapacitor, 55,56,[60][61][62] superconducting magnetic energy storage, [63][64][65][66] aquifer thermal energy storage, [67][68][69][70][71] cryogenic energy storage, [72]…”

Section: Introductionmentioning

confidence: 99%

A review on pump‐hydro storage for renewable and hybrid energy systems applications

Das

Mustafi

et al. 2021

Energy Storage

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The integration of storage technologies into the hybrid energy system (HES) offers significant stability in delivering electricity to a remote community. In addition, the benefits of using storage devices for achieving high renewable energy (RE) contribution to the total energy supply are also paramount. The present study provides a detailed review on the utilization of pump‐hydro storage (PHS) related to the RE‐based stand‐alone and grid‐connected HESs. The PHS‐based HESs have been analyzed considering the technical details, including reliability, cost‐effectiveness, and environmental indicators. The optimization techniques are critically employed to the PHS‐based systems, including metaheuristics intelligent techniques, commercially available optimization and simulation tools, and recent advanced optimization tools. A comparative analysis of PHS integration to the stand‐alone and grid‐connected systems based on techno‐economic and environmental indicators over other storage technologies is also presented. The key technical and environmental challenges related to the PHS‐based HES are identified. Results from the recent research studies indicate that the PHS‐based HESs offer significant cost and environmental benefits over battery storage technologies. The study identifies that the particle swarm optimization is the mostly appreciated optimizing technique for cost‐effective energy supply and environmental aspects followed by hybrid optimization model for electric renewables and genetic algorithm.

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“…Safaei and Keith [10] demonstrate the feasibility and evaluates the profits to reuse the compression waste heat from distributed CAES for municipal heating. Jiang et al [24] propose a multi-objective optimisation model of an advanced trigenerative micro CAES to optimise the system parameters with the aim to maximise the round-trip efficiency and to minimise the total cost. Information gap decision theory (IGDT) approach is induced in [25] to solve the self-scheduling problem of solar-based CAES taking part in both electricity and thermal market considering the uncertainty related to solar farm generation.…”

Section: Introductionmentioning

confidence: 99%

Interdependence of electricity and heat distribution systems coupled by an AA‐CAES‐based energy hub

Bai

Chen

Liu

et al. 2019

IET Renewable Power Generation

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With the development of economy and the growth of industrial demands, the peak-valley difference of electric load is ever increasing, calling for the deployment of energy storage units. Advanced-adiabatic compressed air energy storage (AA-CAES) is a promising large-scale energy storage technology and exhibits various advantages in fast response, long service time, low environmental impact and so on. It also has the potential in combined heat-and-power production because heat is a by-product when air is compressed. This study presents a novel AA-CAES-based energy hub and its mathematical formulation considering the pressure behaviours and mass flow rate variations of AA-CAES, and further envisions its business model for the transaction with a power distribution system and a heating system under time-of-use price. A bilevel game-theoretical model is developed to capture the interaction between the two infrastructures through the integrated demand response of the energy hub and investigate the equilibrium state at which none of the stakeholders would like to alter their strategy unilaterally. Results show the interdependence of electricity and heat prices as well as the economic impact of energy hub performance.

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Multi-objective optimization, design and performance analysis of an advanced trigenerative micro compressed air energy storage system

Cited by 61 publications

References 42 publications

Coordinated Multi-Objective Optimization for Multiple Trade-Offs in Pumped Outage Condition of Pumped Storage System

Coordinated Multi-Objective Optimization for Multiple Trade-Offs in Pumped Outage Condition of Pumped Storage System

A review on pump‐hydro storage for renewable and hybrid energy systems applications

Interdependence of electricity and heat distribution systems coupled by an AA‐CAES‐based energy hub

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