A multi-objective model for optimal operation of a battery/PV/fuel cell/grid hybrid energy system using weighted sum technique and fuzzy satisfying approach considering responsible load management

Majidi, Majid; Esfetanaj, Naser Nourani; Najafi-Ghalelou, Afshin; Zare, Kazem

doi:10.1016/j.solener.2017.01.009

Cited by 137 publications

(30 citation statements)

References 23 publications

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“…Controlling the budgeting according to working drawing and project settlement are the main constituent part in construction phase. The mainly cost controlling work in construction process is changing management and claim management to ensure the progress of the project based on contract 4 . The mainly cost controlling work in completion acceptance stage for power grid construction is conducting the project quality acceptance and compiling statement of final account.…”

Section: Analysis Of Life Cycle Costmentioning

confidence: 99%

Research on Evaluation Index System for Life-cycle Cost Management of Power Grid Construction Projects

Kong¹,

Zhang²

2018

dtssehs

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Abstract. The power grid construction is an important part of the national infrastructure construction, and the investment for power grid construction is very large. With the rapid development of the power industry, Grid companies pay more attention to apply scientific and rational cost management methods to reduce the cost of power grid construction projects. This paper studies the cost management of power grid construction projects in various periods and establishes the evaluation index system of life-cycle cost management based on life-cycle theory to improve the cost management ability and income from investment.

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Section: Analysis Of Life Cycle Costmentioning

confidence: 99%

Research on Evaluation Index System for Life-cycle Cost Management of Power Grid Construction Projects

Kong¹,

Zhang²

2018

dtssehs

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“…9 In addition to these practical applications, there is an extensive research on the planning optimization of various types of the hybrid energy systems. ε-contraint method 15 and weighted sum technique 16 were employed to solve the multiobjective optimization model that could obtain the Pareto front, and then fuzzy satisfying technique was used to find the win-win solution in the Pareto front. [10][11][12][13] Techno-economic model was used to design the hybrid energy system including PV, wind turbine, battery bank, and diesel generator based on genetic algorithm (GA).…”

Section: Introductionmentioning

confidence: 99%

“…But it could not give the win-win result. ε-contraint method 15 and weighted sum technique 16 were employed to solve the multiobjective optimization model that could obtain the Pareto front, and then fuzzy satisfying technique was used to find the win-win solution in the Pareto front. These studies on planning optimization were mainly related to build a new system.…”

Section: Introductionmentioning

confidence: 99%

Implementation of repowering optimization for an existing photovoltaic‐pumped hydro storage hybrid system: A case study in Sichuan, China

Cao

et al. 2019

Int J Energy Res

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Summary For a remote area or an isolated island, where the grid has not extended, a standalone hybrid energy system can provide cheap and adequate power for local users. However, with the development of society, the load demand will increase and the original system cannot completely meet the load demand. This situation occurs in Xiaojin, Sichuan, China. The existing photovoltaic‐pumped hydro storage (PV‐PHS) hybrid system in this area as the original system cannot completely meet the load requirements at present. The term “repowering” aims to maximize the reliability of power supply and the utilization of the PV‐PHS hybrid energy system that differs from traditional planning optimization to build all components. The repowering strategy is to integrate wind turbines (WTs) and battery into the original system. For the repowering system, a power management strategy is proposed to determine the operating modes of the PHS and battery. Three objectives, which are minimizing percentage of the demand not supplied, levelized cost of energy, and curtailment rate of renewable energy, are considered in the optimization model. Simulation is conducted by single‐objective, biobjective, and triobjective particle swarm optimization (PSO) techniques. For the single‐objective optimization, the comparison of PSO and genetic algorithm (GA) is made. For the double‐objective optimization, multiobjective PSO (MOPSO) is compared with weighted sum approach (WSA), and fuzzy satisfying method is utilized to find the win‐win solution. The results reveal that the repowering strategy can help to achieve maximum reliability of power supply after load demand increases significantly, and the battery plays an important role in such a hybrid system.

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“…Case study considers three consumer classes to examine risk neutral and risk averse behavior of a retailer. [29][30][31] However, investigations on sale prices and risk imposed by spot price uncertainty in the presence of solar need investigation. consumer price responsive behavior, which may vary for different consumer classes.…”

mentioning

confidence: 99%

“…Offered sale prices maximize the retailer's profit by maximizing the gap between revenue from energy sale and its procurement cost. [29][30][31] However, investigations on sale prices and risk imposed by spot price uncertainty in the presence of solar need investigation. 9 The retailer's decisions need to be investigated considering consumer behavior and price uncertainty.…”

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confidence: 99%

Risk‐based retailer profit maximization: Time of Use price setting for elastic demand

Chawda

Mathuria

Bhakar

2019

Int Trans Electr Energ Syst

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Summary Retailers in electricity markets face challenges of hourly varying energy prices and consumers' elastic demand. Besides these challenges, utilization of high renewable energy (RE) self‐generation such as solar energy could significantly affect energy procurement and sale prices decisions of a retailer. A retailer with RE self‐generation makes decisions targeting best utilization of RE availability, to maximize its profit. However, a retailer without RE makes decisions considering energy prices and elastic demand. In this perspective, this paper determines optimal Time of Use (ToU) sale prices to be offered and optimal energy procurement portfolio, for a retailer with and without RE, considering elastic demand and wholesale market price uncertainty, aiming to maximize retailer's profit. Case study considers three consumer classes to examine risk neutral and risk averse behavior of a retailer. Results illustrate impact of multiple consumer class behavior on ToU price, procurement strategy, and risk preferences of a retailer.

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A multi-objective model for optimal operation of a battery/PV/fuel cell/grid hybrid energy system using weighted sum technique and fuzzy satisfying approach considering responsible load management

Cited by 137 publications

References 23 publications

Research on Evaluation Index System for Life-cycle Cost Management of Power Grid Construction Projects

Research on Evaluation Index System for Life-cycle Cost Management of Power Grid Construction Projects

Implementation of repowering optimization for an existing photovoltaic‐pumped hydro storage hybrid system: A case study in Sichuan, China

Risk‐based retailer profit maximization: Time of Use price setting for elastic demand

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