A method for optimal sizing of stand-alone hybrid PV/wind/battery system

Nian, Yue; Liu, S.; Wu, Di; Liu, J.

doi:10.1049/cp.2013.1803

Cited by 10 publications

(11 citation statements)

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“…Although it has been extensively used in obtaining solutions to optimization problems involving the design of HRES, one of the drawbacks of classical optimization techniques is that it cannot obtain solutions to functions that are non-differentiable and/or non-continuous [5], [29], [143]. Some of the classical optimization techniques that have been used in the modeling and optimization of HRES includes: linear programming (LP) [144]- [149], dynamic programming(DP) [150], [151], Quasi-Newton algorithm [152], non-linear programming(NLP) [152], [153], branch and bound (BB) [154]- [157]: process graph (p-graph) [158], Generalized Reduced Gradient (GRG) [155], multi-objective programming (MOP) [159], [160], Dantzig-Wolfe decomposition (DWD) [161] multi-objective goal programming [162], Quadratic programming [163], [164] analytical method [132].…”

Section: A Classical Optimization Techniquesmentioning

confidence: 99%

A Comprehensive State-of-the-Art Survey on Hybrid Renewable Energy System Operations and Planning

2020

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The use of hybrid renewable energy systems among household consumers in sub-Sahara Africa (SSA) is increasingly gaining attention. This is due to low electrification rates in many of the countries in SSA. A hybrid energy system for power generation combines various energy systems, either renewable or a combination of renewable and fossil-powered sources for optimal power extraction and operation. In the era of decarbonization of the electricity grid through the use of renewable energy, hybridization of sources is an essential condition for the production of electricity. Based on current quest for renewable energy (RE) expansion in the global energy mix, optimum conditions for the production and adoption of hybrid renewable energy systems (HRES) at micro-levels are indispensable and must be advocated for. This can be justified based on the perpetually rising cost of energy for socio-economic development. This paper presents a survey of major issues regarding the motivations and specific benefits behind the adoption of HRES. Also presented, is a discussion on different renewable energy sources that can be adopted for HRES application for both grid and off-grid consumers. Furthermore, a discussion on the important issues as it pertains to the design and implementation of HRES is also presented. Finally, a policy discussion on the affordability of HRES in a low-income household is presented.INDEX TERMS Hybrid renewable energy, intermittent renewable energy, low-income household, operations and planning, decarbonization, affordability.

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Section: A Classical Optimization Techniquesmentioning

confidence: 99%

A Comprehensive State-of-the-Art Survey on Hybrid Renewable Energy System Operations and Planning

2020

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“…To optimize the HESS capacity in an isolated microgrid with respect to the load characteristics, a hybrid configuration scheme for the ultracapacitors and batteries based on cost analysis was proposed in [7]. An optimization model was constructed in [8], which considered the lowest average annual cost of the HESS based on life-cycle cost. From the perspective of intelligent algorithms, simulated annealing was combined with particle swarm optimization (PSO) in [9] to calculate the HESS capacity.…”

Section: Introductionmentioning

confidence: 99%

Optimal Capacity Configuration of a Hybrid Energy Storage System for an Isolated Microgrid Using Quantum-Behaved Particle Swarm Optimization

Wang

Xie

et al. 2018

Energies

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The capacity of an energy storage device configuration not only affects the economic operation of a microgrid, but also affects the power supply's reliability. An isolated microgrid is considered with typical loads, renewable energy resources, and a hybrid energy storage system (HESS) composed of batteries and ultracapacitors in this paper. A quantum-behaved particle swarm optimization (QPSO) algorithm that optimizes the HESS capacity is used. Based on the respective power compensation capabilities of ultracapacitors and batteries, a rational energy scheduling strategy is proposed using the principle of a low-pass filter and can help to avoid frequent batteries charging and discharging. Considering the rated power of each energy storage type, the respective compensation power is corrected. By determining whether the charging state reaches the limit, the value is corrected again. Additionally, a mathematical model that minimizes the daily cost of the HESS is derived. This paper takes an isolated micrgrid in north China as an example to verify the effectiveness of this method. The comparison between QPSO and a traditional particle swarm algorithm shows that QPSO can find the optimal solution faster and the HESS has lower daily cost. Simulation results for an isolated microgrid verified the effectiveness of the HESS optimal capacity configuration method.

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“…Installation, operation and maintenance costs were considered in the study and it was concluded that network of microgrid hold a lot of promise. There has also been some work on optimal sizing of PV units, wind turbines and energy storage system [11]. However, some important economic considerations, such as interest and inflation rates, were neglected.…”

Section: Introductionmentioning

confidence: 99%

Microgrid economy through optimal design

Raja

Detroja

2016

2016 Indian Control Conference (ICC)

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Answer to questions, such as: 'What is the per unit cost of generation from a microgrid/renewable energy source?', 'Can renewable energy generation attain grid parity?', have largely remained unanswered. Approach towards renewable sources is mostly driven by environmental concerns rather than economy. In this paper we initiate a first step towards answering these questions and provide analysis of microgrid economy through optimal design approach. A framework for decision support system for sizing of distributed generators is provided. The objective function formulation involves costs (installation, maintenance and operational), economic factors (inflation and interest rate) as well as uncertainties (in the renewable generation and load demand). A few case studies involving a small manufacturing unit and a commercial load give some interesting insights into economy of microgrid and renewable generation sources. A detailed discussion on results obtained from these case studies are presented here.

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A method for optimal sizing of stand-alone hybrid PV/wind/battery system

Cited by 10 publications

References 0 publications

A Comprehensive State-of-the-Art Survey on Hybrid Renewable Energy System Operations and Planning

A Comprehensive State-of-the-Art Survey on Hybrid Renewable Energy System Operations and Planning

Optimal Capacity Configuration of a Hybrid Energy Storage System for an Isolated Microgrid Using Quantum-Behaved Particle Swarm Optimization

Microgrid economy through optimal design

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