A cost accounting method of the Li-ion battery energy storage system for frequency regulation considering the effect of life degradation

Yan, Gangfeng; Liu, Dongyuan; Li, Junhui; Mu, Gang

doi:10.1186/s41601-018-0076-2

Cited by 72 publications

(44 citation statements)

References 10 publications

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“…Due to increasing concerns regarding the environmental pollutants produced by coal-fired power generators and the low-efficiency energy utilization of conventional electrical power grids, which focus on electrical energy utilization but ignore other kinds of energy utilization (e.g., heating energy) [1], many researchers are searching for more environmentally friendly and less costly ways to supply energy. The integrated energy system (IES), which integrates cogeneration units, heat pumps, and LiBr absorption refrigerators [2], [3], is considered a promising way to optimize the structure of energy utilization. The core part of the IES is a set of cogeneration units, which supply electricity to residents while simultaneously meeting heat demands with recovered waste heat produced in the power generation process.…”

Section: A Backgroundmentioning

confidence: 99%

Optimal Operation of Integrated Energy System Based on Exergy Analysis and Adaptive Genetic Algorithm

Chen

Li³

et al. 2020

IEEE Access

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Due to the rising tensions surrounding the energy industry in response to the depletion of non-renewable energy sources and pollution of the environment, it is especially important to improve the energy utilization rate of integrated energy systems (IESs). Exergy is an important index to measure energy quality. Therefore, this paper proposes an IES operation optimization method based on exergy analysis and an adaptive genetic algorithm. First, based on the energy network theory, a unified expression of the exergy transfer process is given, and the energy level factor is introduced to evaluate the energy quality. Second, the steady-state expression of different forms of exergy in the energy transfer line is given. Third, the exergy economic model of the IES is established by combining exergy analysis, and the solution process of the adaptive genetic algorithm is given. Finally, the operation optimization simulation and analysis of an IES in Bali are carried out to verify the effectiveness of the exergy analysis method and feasibility of the simulation method.

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Section: A Backgroundmentioning

confidence: 99%

Optimal Operation of Integrated Energy System Based on Exergy Analysis and Adaptive Genetic Algorithm

Chen

Li³

et al. 2020

IEEE Access

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“…The static degradation refers to the deterioration of internal functional properties of the ESS unit. Such degradation increases the internal resistance of ESS, which eventually reduces ESS capacity [25].…”

Section: ) Single Objective Formulationmentioning

confidence: 99%

Heuristic Enhanced Evolutionary Algorithm for Community Microgrid Scheduling

et al. 2020

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Scheduling of community microgrids (CMGs) is an important and challenging optimization problem. Generally, the optimization is performed to schedule resources of CMGs at minimum cost. In recent years, a number of algorithms have been proposed to solve such problems. However, the performance of these algorithms is far from ideal due to the presence of different complex equality and inequality constraints in CMGs. Furthermore, most of the current works ignore energy storage (ES) degradation costs in the optimization model, which has a significant impact on the life of ES. This paper develops both single and bi-objective optimization models by considering the life of ES along with the operating cost for scheduling a CMG. An efficient heuristic-enhanced Differential Evolution (DE) approach is proposed to solve these models; by exploiting the structure of equality constraints, the proposed heuristic is able to generate feasible solutions quickly. The significance of the proposed heuristic is that it can generate a high-quality solution with a considerably lower computational effort. Numerical simulations were performed to evaluate the performance of the proposed method, and obtained results were compared with the state-of-the-art algorithm. The simulation results corroborate the efficacy of the proposed method.

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“…The cycle life of ESS can be measured in terms of the maximum number of cycles. According to the real ESS operational data and surveys [31,32], the maximum cycles N F and DOD of the ESS could be drawn out, as one typical correlation profile shown in Figure 1. The greater the DOD, the smaller the N F .…”

Section: Ess Life Modelmentioning

confidence: 99%

Exploring Economic Criteria for Energy Storage System Sizing

2019

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This paper presents two economic criteria for guiding the energy storage system (ESS) sizing in grid-connected microgrids. The internal power output model and the economic operation model of ESS are firstly established. Then, the combination of heuristic adjustment strategy and hybrid particle swarm optimization algorithm are introduced to solve the optimal operation model of ESS. Then according to the ESS life model and cost-benefit analysis, a static investment economic criterion which is easy and simple to be calculated is proposed to demonstrate the economic feasibility of ESS investment programs in the short term. Considering the time value of currency, a dynamic investment economic criterion is proposed later for long-term investment projects. Furthermore, the ESS sizing boundary of achieving profits could be also obtained according to the criteria which can indicate the economic attractiveness or resistance to ESS investors in the microgrid. A case study has verified its effectiveness. At the same time, sensitivity analysis is given to show the impact on key parameters, such as investment unit price and electricity purchase price on ESS investment.

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A cost accounting method of the Li-ion battery energy storage system for frequency regulation considering the effect of life degradation

Cited by 72 publications

References 10 publications

Optimal Operation of Integrated Energy System Based on Exergy Analysis and Adaptive Genetic Algorithm

Optimal Operation of Integrated Energy System Based on Exergy Analysis and Adaptive Genetic Algorithm

Heuristic Enhanced Evolutionary Algorithm for Community Microgrid Scheduling

Exploring Economic Criteria for Energy Storage System Sizing

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