Market Impact of Wind-Energy Storage Alliance Strategic Bidding Under Uncertainty

Li, Peiyue; Wang, Zhijie; Jin, Jiahui

doi:10.1109/access.2021.3130185

Cited by 3 publications

(2 citation statements)

References 31 publications

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“…In other words, w hn represents the chosen DOD segment. Eventually, the amount of the LIB cycle aging is calculated by equation (9). It is worth noting that the non-linear term of constraint (3), the multiplication of binary variable U dch and the continuous variable AG can be linearized using a new bilinear variable LAG and constraints (10) and (11) as follows:…”

Section: ) Battery Cycle Agingmentioning

confidence: 99%

“…A new stochastic programming based on Benders decomposition is proposed in [8] to calculate the optimal size of the battery under wind uncertainties. A stochastic bi-level optimization model for integrated wind-battery systems is provided in [9] to improve battery profits in energy and frequency regulation markets. A novel operation-planning model is presented in [10] to increase the participation of wind-battery systems in both the gas market and the day-ahead electricity market.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Scheduling and Cost-Benefit Analysis of Lithium-Ion Batteries Based on Battery State of Health

2023

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This paper presents a novel battery degradation cost (BDC) model for lithium-ion batteries (LIBs) based on accurately estimating the battery lifetime. For this purpose, a linear cycle counting algorithm is devised to estimate the battery cycle aging. In this algorithm, the local maximum and minimum values of the profile of the battery state of charge are identified by the proposed linear formulations. Then, the battery cycle aging due to the complete and incomplete cycles is determined. In this step, the battery cycle aging during an incomplete cycle is calculated by converting it to two complete cycles. After that, the calendar aging process of the LIB is linearly formulated based on the semi-empirical model to estimate the BDC accurately. After linearizing the LIB degradation process, a mechanism for computing the BDC during the scheduling horizon is designed by modeling the BDC as a series of equal payments over the LIB lifetime. In order to incorporate the BDC in the battery energy management problem, an iterative algorithm is presented for efficiently calculating the BDC associated with the adopted charging/discharging strategy. The numerical simulation results indicate that integrating the battery degradation process into the battery scheduling problem can reduce the amount of the battery capacity fading by 32.81%, as well as increase the profit of battery owners by 1.21%. Moreover, the conducted analyses highlight the importance of considering the LIB calendar aging process in determining the optimal LIB capacity.INDEX TERMS Battery degradation cost (BDC), cycle aging process, calendar aging process, battery scheduling problem, wind energy.

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Section: ) Battery Cycle Agingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Scheduling and Cost-Benefit Analysis of Lithium-Ion Batteries Based on Battery State of Health

2023

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A Risk-Based Bi-Level Bidding System to Manage Day-Ahead Electricity Market and Scheduling of Interconnected Microgrids in the presence of Smart Homes

Mansouri

Nematbakhsh

Jordehi

et al. 2022

2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Syst

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Bidding Strategy for the Alliance of Prosumer Aggregators in the Distribution Market

Wang,

Xing,

Wang

et al. 2024

Energies

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Photovoltaic energy storage system (PV-ESS) prosumer aggregators are characterized by a large number but small scale in the distribution system and are not competitive enough to participate in market transactions. For this reason, a prosumer aggregator alliance is proposed to participate in the distribution market bidding strategy. Firstly, based on the framework for prosumer aggregator alliances participating in distribution market trading, a bilevel bidding model is constructed. The upper level represents the optimal decision-making model for the prosumer aggregators, while the lower level constitutes the distribution market-clearing model. Secondly, the additional benefits obtained by the alliance are distributed more fairly using the improved Shapley value based on the PV self-consumption rate. Given the problem that the traditional diagonalization algorithm (DA) has an excessive number of iterations when solving the game equilibrium problem of multiple subjects, the DA is improved by optimizing the initial value of the inputs. Finally, case studies are conducted based on the improved IEEE-33 bus distribution system to validate the feasibility and economic viability of the proposed strategy. The case study results show that forming cooperative alliances to participate in market bidding can significantly increase overall profits. The improved DA reduces the number of bids and computation time by 75% and 80%, respectively. Additionally, the improved Shapley value facilitates compensation for some of the aggregators.

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Market Impact of Wind-Energy Storage Alliance Strategic Bidding Under Uncertainty

Cited by 3 publications

References 31 publications

Optimal Scheduling and Cost-Benefit Analysis of Lithium-Ion Batteries Based on Battery State of Health

Optimal Scheduling and Cost-Benefit Analysis of Lithium-Ion Batteries Based on Battery State of Health

A Risk-Based Bi-Level Bidding System to Manage Day-Ahead Electricity Market and Scheduling of Interconnected Microgrids in the presence of Smart Homes

Bidding Strategy for the Alliance of Prosumer Aggregators in the Distribution Market

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