Economic dispatch algorithm considering battery degradation characteristic of energy storage system with PV system

Eom, Ju-Kyoung; Lee, Soon-Ryung; Ha, Eun-Jung; Choi, Bong-Yeon; Won, Chung-Yuen

doi:10.1109/icems.2014.7013587

Cited by 14 publications

(3 citation statements)

References 7 publications

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“…ΔT is in minutes. Battery degradation characteristics suggest a (SOC) min of 40-50% to be the most optimum when considering average wear cost [14].…”

Section: ) Storage Charging and Dischargingmentioning

confidence: 99%

Optimal power flow with grid scale battery storage

Hazra

Dasgupta

Padmanaban

et al. 2015

2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA)

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This paper proposes an optimal power flow (OPF) framework in presence of grid scale energy storage system(s) in electric grids. It evaluates the impact of centralized storage versus distributed storage in OPF framework. Proposed OPF formulation includes a detail storage model to asses it's loss of life and associated cost due to frequent charging and discharging. Storage devices are optimally used to minimize the overall cost of generation. A meta-heuristic optimization technique called Particle Swarm Optimization (PSO) is used to solve this nonlinear and non-convex optimization problem. Proposed method has been tested on a 30-bus IEEE benchmark system and the advantage of grid scale storage has been illustrated and validated.

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“…ΔT is in minutes. Battery degradation characteristics suggest a (SOC) min of 40-50% to be the most optimum when considering average wear cost [14].…”

Section: ) Storage Charging and Dischargingmentioning

confidence: 99%

Optimal power flow with grid scale battery storage

Hazra

Dasgupta

Padmanaban

et al. 2015

2015 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA)

View full text Add to dashboard Cite

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“…4 [71]. In [72], another degradation model is reported for battery usage where the calendar aging cost of the battery (C Bat,calendar ) considering of its depth of discharge (DOD) usage and the initial cost is calculated as follows:…”

Section: ) Li-ion Battery Degradation Modelmentioning

confidence: 99%

Recent Advances of Wind-Solar Hybrid Renewable Energy Systems for Power Generation: A Review

Roy

Zhao

et al. 2022

IEEE Open J. Ind. Electron. Soc.

138

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A hybrid renewable energy source (HRES) consists of two or more renewable energy sources, such as wind turbines and photovoltaic systems, utilized together to provide increased system efficiency and improved stability in energy supply to a certain degree. The objective of this study is to present a comprehensive review of wind-solar HRES from the perspectives of power architectures, mathematical modeling, power electronic converter topologies, and design optimization algorithms. Since the uncertainty of HRES can be reduced further by including an energy storage system, this paper presents several hybrid energy storage system coupling technologies, highlighting their major advantages and disadvantages. Various HRES power converters and control strategies from the state-of-the-art have been discussed. Different types of energy source combinations, modeling, power converter architectures, sizing, and optimization techniques used in the existing HRES are reviewed in this work, which intends to serve as a comprehensive reference for researchers, engineers, and policymakers in this field. This article also discusses the technical challenges associated with HRES as well as the scope of future advances and research on HRES.INDEX TERMS Hybrid renewable energy sources, hybrid energy storage system, optimization, Power converter, photovoltaic power, wind turbine.

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“…For the PV system, the levelized cost of energy (LCOE) of the system was calculated with the objective of generating an estimated cost of using the PV system. Similarly, since SBMPC requires knowledge of the cost of using the energy storage system, a similar approach to [34] was used to calculate a price rate r ES for the energy storage (ES) system. The equation used was:…”

Section: Real-time Price and Levelized Cost Of Energy For Es And Pv S...mentioning

confidence: 99%

Sampling-Based Model Predictive Control of PV-Integrated Energy Storage System Considering Power Generation Forecast and Real-Time Price

Ospina

Gupta²,

Newaz

et al. 2019

IEEE Power Energy Technol. Syst. J.

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This paper proposes a novel control solution designed to solve the local and grid-connected distributed energy resources (DERs) management problem by developing a generalizable framework capable of controlling DERs based on forecasted values and real-time energy prices. The proposed model uses sampling-based model predictive control (SBMPC), together with the real-time price of energy and forecasts of PV and load power, to allocate the dispatch of the available distributed energy resources (DERs) while minimizing the overall cost. The strategy developed aims to find the ideal combination of solar, grid, and energy storage (ES) power with the objective of minimizing the total cost of energy of the entire system. Both offline and controller hardware-in-the-loop (CHIL) results are presented for a 7-day test case scenario and compared with two manual base test cases and four baseline optimization algorithms (Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Quadratic Programming interior-point method (QP-IP), and Sequential Quadratic Programming (SQP)) designed to solve the optimization problem considering the current status of the system and also its future states. The proposed model uses a 24-hour prediction horizon with a 15-minute control horizon. The results demonstrate substantial cost and execution time savings when compared to the other baseline control algorithms. INDEX TERMSController Hardware-in-the-Loop (CHIL), distributed energy resources (DER), distributed generation (DG), distributed storage (DS), energy management, real-time pricing, model predictive control (MPC).

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Economic dispatch algorithm considering battery degradation characteristic of energy storage system with PV system

Cited by 14 publications

References 7 publications

Optimal power flow with grid scale battery storage

Optimal power flow with grid scale battery storage

Recent Advances of Wind-Solar Hybrid Renewable Energy Systems for Power Generation: A Review

Sampling-Based Model Predictive Control of PV-Integrated Energy Storage System Considering Power Generation Forecast and Real-Time Price

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