Optimal Configuration of Different Energy Storage Batteries for Providing Auxiliary Service and Economic Revenue

Chen, Lijuan; Wu, Tiantian; Xu, Xiaohui

doi:10.3390/app8122633

Cited by 8 publications

(3 citation statements)

References 20 publications

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“…The greater the benefit of the pipeline company, the stronger its dependence on others, the lower the bargaining power in negotiation, and the smaller α i in Equation (11). The economic benefits of pipeline companies can be measured by indexes such as a net investment income, payback period, and cost-benefit ratio [22]. Then, the coefficient α i indicating the bargaining power of pipeline company in the negotiation of UUT construction cost allocation can be expressed as:…”

Section: Comprehensive Decision-making Mechanism Of Uut Cost Allocatimentioning

confidence: 99%

Cost Allocation Mechanism Design for Urban Utility Tunnel Construction Based on Cooperative Game and Resource Dependence Theory

et al. 2019

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The urban utility tunnel presents solutions for the sustainable development of urban underground space, and is an important carrier of power distribution network and integrated energy systems. Considering the high investment cost of utility tunnels and the limitations of traditional cost sharing methods (i.e., spatial proportional method, direct-laying cost method and benefit-based proportional method), it is of great significance to establish a fair and practical cost sharing mechanism. First, an improved Shapley value-based spatial proportional method is proposed. A comprehensive decision-making mechanism for utility tunnel construction cost allocation is established by using the improved spatial proportion, the life-cycle direct-laying cost proportion, and the benefit proportion of pipeline companies as the cost allocation indexes. The resource dependence theory is introduced to quantify the bargaining power of each pipeline company in the negotiation of the cost allocation. The weights of the cost allocation indexes in the comprehensive decision-making model are optimized with the objective of maximizing the overall satisfaction of the pipeline companies. Simulations based on the data of utility tunnel pilots in China illustrate that the proposed cost allocation mechanism has the highest overall satisfaction and is more acceptable and more feasible than the traditional cost allocation methods. For power companies, the cost of laying power cables can be significantly reduced by utility tunnels, and laying 10 kV power cables has been shown to have higher economic benefits.

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Section: Comprehensive Decision-making Mechanism Of Uut Cost Allocatimentioning

confidence: 99%

Cost Allocation Mechanism Design for Urban Utility Tunnel Construction Based on Cooperative Game and Resource Dependence Theory

et al. 2019

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“…After this claim, an optimal-sized BESS was designed by Ding et al [21] for the industrial load and by Olivieri and McConky for the residential load with a major focus on emission reduction [22]. Chen et al compared the optimal performance of four diferent energy storage batteries to generate economic revenue and provide auxiliary services to industrial users [23]. Tese research projects elucidate that the optimum scheduling and sizing of the BESS depend on the constraints and conditions for which the storage system is to be designed.…”

Section: Introductionmentioning

confidence: 99%

Investigation of a Battery Storage System Aimed at Demand-Side Management of Residential Load

Ayub

Khattak

Alahmadi

et al. 2023

International Transactions on Electrical Energy Systems

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In this paper, an approach is presented for the demand-side management of residential loads in the urban areas of Pakistan using a battery storage system at the feeder level. The proposed storage system will be installed by a private distributor to supply affordable electricity during peak hours. The experimental data used to carry out this research work are the Pakistan Residential Energy Consumption (PRECON) data set. The households of the data set are categorized based on electric power usage through K-means clustering. The clusters are expanded for feeder synthesis to represent small-scale, medium-scale, and large-scale consumption. This expansion is performed through uniform distribution in a Monte Carlo simulation. The techno-economic analysis for the installation of a battery storage system is carried out for each feeder using SAM. The results of the research project elucidated that the load factors of the feeders representing small-scale, medium-scale, and large-scale consumption improved by 1%, 6%, and 7% by using the optimally sized batteries of 50 kW (670 kWh), 90 kW (1207 kWh), and 100 kW (1360 kWh), respectively. The distributor profit and the consumer utility bill savings ranged from US$12 k to US$25 k. The results proved the validity of the used approach to simultaneously reduce the consumer bill, maximize the distributor profit, and improve the feeder load factor. The novelty of this work lies in the location and in the way the system modeling has been performed with limited data.

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“…To minimize the total cost of BESS, the optimal size of BESS was evaluated based on frequency control in [7]. The authors in [8] developed an energy storage optimization configuration model considering various benefits to maximize user revenue within the lifecycle of BESS. In addition, the size of BESS was also determined to cope with the time-space imbalance of wind power generation and system revenue maximization considering the equivalent loss of BESS cycle life [9] and capacity fading of lithium ion battery [10].…”

Section: Introductionmentioning

confidence: 99%

Optimal Sizing of Battery Energy Storage System in Smart Microgrid with Air-conditioning Resources

Xie

Wang

Lai

et al. 2020

2020 IEEE International Smart Cities Conference (ISC2)

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In the microgrid with high photovoltaic (PV) penetration, optimal sizing of battery energy storage system (BESS) has been a heated research topic in recent years. In the meanwhile, the high energy consumption of air-conditioned households is attracting more and more attention currently. In this paper, an optimal sizing method of BESS is developed for a smart microgrid with PV systems and air-conditioning resources. The proposed model is divided into two layers. In the first layer, the initial size of BESS is determined with consideration of photovoltaic output power and thermal buffering characteristics of air-conditioned households. In the second layer, the optimal size of BESS is proposed to minimize the system overall cost including BESS construction investment and microgrid system operation cost. The model is solved by differential evolutionary algorithm and iterative algorithms. Case studies demonstrate the effectiveness of the proposed method.

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Optimal Configuration of Different Energy Storage Batteries for Providing Auxiliary Service and Economic Revenue

Cited by 8 publications

References 20 publications

Cost Allocation Mechanism Design for Urban Utility Tunnel Construction Based on Cooperative Game and Resource Dependence Theory

Cost Allocation Mechanism Design for Urban Utility Tunnel Construction Based on Cooperative Game and Resource Dependence Theory

Investigation of a Battery Storage System Aimed at Demand-Side Management of Residential Load

Optimal Sizing of Battery Energy Storage System in Smart Microgrid with Air-conditioning Resources

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