A new optimized configuration for capacity and operation improvement of CCHP system based on developed owl search algorithm

Cao, Yan; Wang, Qiangfeng; Wang, Zhijie; Jermsittiparsert, Kittisak; Shafiee, Mohammadreza

doi:10.1016/j.egyr.2020.01.010

Cited by 60 publications

(20 citation statements)

References 31 publications

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“…It is assumed that the project has a service lifetime of 20 years and an interest rate of 0.067, and the scheduling interval for the operation is 1 hour. The main economic parameters and technical parameters of renewable energy system with CCHP are shown in Tables 1 and 2 51‐53 …”

Section: Case Studiesmentioning

confidence: 99%

A configuration optimization framework for renewable energy systems integrating with electric‐heating energy storage in an isolated tourist area

Chen

Jiekang

Changjie

et al. 2021

Energy Science & Engineering

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Section: Case Studiesmentioning

confidence: 99%

A configuration optimization framework for renewable energy systems integrating with electric‐heating energy storage in an isolated tourist area

Chen

Jiekang

Changjie

et al. 2021

Energy Science & Engineering

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“…The NGDE system was capable of saving large number of the initial investments in power generation, transmission, and distribution facilities, reducing the transmission loss of the entire energy network system, and providing a safety guarantee for the power provision in the regional power grid. The principle of energy cascade utilization based on cogeneration of cold, heat, and electricity ensured that the integrated energy efficiency of the NGDE system reached more than 70% [2]. Moreover, the rapid and comprehensive development of the NGDE system could relieve the pressure on traditional large-scale power generation, transmission, and distribution sections, especially in public utilities and other remote areas (such as remote islands) that could not be covered by the power grid.…”

Section: Introductionmentioning

confidence: 99%

A Multiobjective Fractional Programming for a CHP System Operation Optimization Based on Energy Intensity

Meng

Wang

et al. 2022

Energies

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The objective of this research is to establish a multiobjective fractional programming (MOFP) model for supporting the operational management of a combined heat and power (CHP) system. Compared with the traditional operational optimization model of the CHP system, the importance of the energy intensity (i.e., the ratio of energy consumption and energy production) was emphasized in the MOFP model, which is considered as the system objective for replacing the common objective of minimizing the economic cost. This innovative transformation effectively reduces excessive energy consumption, accompanied by improvement in the system revenue. The CHP system of an industrial park in the City of Jinan, China, was used as a study case for demonstration. The obtained results reflected that the combination of two gas turbines (GTs) ensured safe, efficient, and stable output for meeting daily power requirements in various seasons. As for the steam load, during the summer, two heat recovery steam generators (HRSGs) play a major role, where the insufficient part is supplemented by two gas-fired boilers (SBs); conversely, the steam load in winter is mainly satisfied by the aid of two SBs. The successful application of the MOFP model in the park could provide a good demonstration for CHP management in many other districts and cities.

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“…The first group discusses the allocation of various control devices, such as SCBs, VRs, DGs, and the goals that must be met in the allocation (such as reducing losses and emission and improving network voltage) [17]. Further, in the second category, different optimization algorithms are presented, knowing that the optimal allocation problem with different objectives is a complex problem.…”

Section: Introductionmentioning

confidence: 99%

Voltage Stability Improvement in Optimal Placement of Voltage Regulators and Capacitor Banks Based on FSM and MMOPSO Approach

Shafiee

Amirahmadi

Farzinfar

et al. 2021

IJE

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Installation of Shunt Capacitor Banks (SCBs) and Voltage Regulators (VRs) within distribution system is one of the most effective solutions in reactive power control for improving the voltage profile and reducing power losses along the feeder. However, the presence of the VRs can deteriorate the Voltage Stability Margin (VSM) in distribution feeders. To address this issue, this paper proposes a multiobjective programming model for the simultaneous optimal allocation of VRs and SCBs in the distribution network to improve the voltage profile and to minimize power losses and installation costs. In the proposed model, a Voltage Stability Index (VSI) is considered to prevent voltage instability during SCBs/VRs allocation. A new Modified Multi-Objective Particle Swarm Optimization (MMOPSO) algorithm which includes a dynamic inertia weight and mutation operator is proposed to obtain the optimal solutions as a Pareto set. Thereinafter, a Fuzzy Satisfaction Method (FSM) determines the optimal solution. A practical long radial distribution feeder has been employed to demonstrate the efficiency and efficacy of the proposed model along with a comparison between the proposed MMOPSO and the original MOPSO.

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A new optimized configuration for capacity and operation improvement of CCHP system based on developed owl search algorithm

Cited by 60 publications

References 31 publications

A configuration optimization framework for renewable energy systems integrating with electric‐heating energy storage in an isolated tourist area

A configuration optimization framework for renewable energy systems integrating with electric‐heating energy storage in an isolated tourist area

A Multiobjective Fractional Programming for a CHP System Operation Optimization Based on Energy Intensity

Voltage Stability Improvement in Optimal Placement of Voltage Regulators and Capacitor Banks Based on FSM and MMOPSO Approach

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