Security-Constrained Unit Commitment in Presence of Lithium-Ion Battery Storage Units Using Information-Gap Decision Theory

Ahmadi, Abdollah; Nezhad, Ali Esmaeel; Hredzak, Branislav

doi:10.1109/tii.2018.2812765

Cited by 80 publications

(54 citation statements)

References 36 publications

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“…Therefore, since the IGDT is a non-probabilistic technique in solving optimization problems with regard to uncertainties, decisions are made without considering the probability of uncertainties [14]. In [15], the IGDT technique is used to model the electric load demand uncertainty in security-constrained unit commitment problem. To the best of our knowledge, this technique has not been employed in the coordinated operation problem of ENGN to model the demand uncertainty in the gas network.…”

Section: B Relevant Literaturementioning

confidence: 99%

“…Equation 13shows the energy balance and inequality (14) determines the generating power by considering the required spinning reserve and the amount of demand. Finally, in (15), the produced greenhouse gas emissions by the generating units is obtained.…”

Section: A Integrated Engn Operation Modelmentioning

confidence: 99%

“…According to the above explanations, in the IGDT technique α and β should be maximized to achieve its required performance. Therefore, the objective function of IGDT-based model is derived in (34) (subjected to (2)-(12), (14), (15) and 17…”

Section: B Information-gap Decision Theorymentioning

confidence: 99%

See 2 more Smart Citations

Information-Gap Decision Theory for Robust Operation of Integrated Electricity and Natural Gas Transmission Networks

Rostami

Ameli

et al. 2020

2020 International Conference on Smart Energy Systems and Technologies (SEST)

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Natural gas consumption and the share of renewable energy in meeting global energy demand has grown dramatically in the recent years. On the other hand, the rapid growth of gas-fired generating units (GFU) (i.e., producing lower carbon dioxide emissions compared to coal-fired generating units), could play a key role in more integration of renewable energy sources (RESs) into the system due to their high flexibility. Therefore, the interaction between the electricity and natural gas networks (ENGN) becomes more challenging. This paper proposes a robust multi objective integrated mixed integer nonlinear optimization model, utilizing information-gap decision theory (IGDT), for secure and optimal operation of ENGN considering security constraints as well as gas and electricity load demand uncertainties. This bi-objective optimization problem is modified using normalization in the weighted sum method in order to ensuring the consistency of the optimal solutions. The proposed framework is validated on the modified IEEE 24-bus power system with a 15-node natural gas system.

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Section: B Relevant Literaturementioning

confidence: 99%

Section: A Integrated Engn Operation Modelmentioning

confidence: 99%

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Information-Gap Decision Theory for Robust Operation of Integrated Electricity and Natural Gas Transmission Networks

Rostami

Ameli

et al. 2020

2020 International Conference on Smart Energy Systems and Technologies (SEST)

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“…Ahmadi et al [26] presented a model for the solution of SCUC including BESS. Aging cost related to BESS operation is incorporated to the objective function.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Then, depending on the value of P a D , diesel generation (P D(t) ), power surplus (P EXC(t) ), and power not supplied (P ENS(t) ) are determined by following (25)(26)(27), respectively,…”

Section: Diesel Generator Modelmentioning

confidence: 99%

Day-Ahead Optimal Battery Operation in Islanded Hybrid Energy Systems and Its Impact on Greenhouse Gas Emissions

et al. 2019

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This paper proposes a management strategy for the daily operation of an isolated hybrid energy system (HES) using heuristic techniques. Incorporation of heuristic techniques to the optimal scheduling in day-head basis allows us to consider the complex characteristics of a specific battery energy storage system (BESS) and the associated electronic converter efficiency. The proposed approach can determine the discharging time to perform the load peak-shaving in an appropriate manner. A recently proposed version of binary particle swarm optimization (BPSO), which incorporates a time-varying mirrored S-shaped (TVMS) transfer function, is proposed for day-ahead scheduling determination. Day-ahead operation and greenhouse gas (GHG) emissions are studied through different operating conditions. The complexity of the optimization problem depends on the available wind resource and its relationship with load profile. In this regard, TVMS-BPSO has important capabilities for global exploration and local exploitation, which makes it a powerful technique able to provide a high-quality solution comparable to that obtained from a genetic algorithm.Incorporation of ESS can improve the accommodation of renewable generation while reducing greenhouse gas (GHG) emissions. As an example, incorporation of renewable power combined with ESS in California could reduce carbon dioxide (CO 2 ) emissions from 90% to 72%, whereas renewable power curtailment reduces from 33% to 9%. In the case of Texas, CO 2 emissions could be reduced from 58% to 54% and renewable power curtailment could be reduced from 3% to 0.3% [4]. Combination of carbon capture and storage devices with conventional generation units is also an option to reduce GHG emissions. However, the combination of renewable generation with ESS can be energetically more effective [5].Historically, the acquisition costs of a battery energy storage system (BESS) have been considerably high, limiting their economic performance and consequently their mass adoption. However, when very low GHG emissions are required, BESS can be a critical device to achieve such an ambitious goal.In the case of energy provision for an isolated hybrid energy system (HES), incorporation of BESS becomes profitable due to the fact that the fuel consumption and operating hours of a conventional generator are considerably reduced. In the case of a grid-connected HES, retailing rates and feed-in tariffs as well as favorable resources are crucial for their successful adoption [6].Heuristic techniques are commonly used to carry out the optimal sizing of a specific HES. Consequently, some of them have been implemented in computational programs such as HOMER Pro ® [7], iHOGA ® [8], and Hybrid2 ® [9], among others. Dispatch strategies implemented in most of these tools are based on load following and cycle charging concepts. Load following consists of generating power from conventional units only to satisfy net load (NL), and this approach is frequently suggested in a HES with high share of renewable power, which is much h...

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Stochasticsecurity constrained unit commitmentwith battery energy storage and wind power integration

Gupta

Jain

Kalkhambkar

et al. 2020

Int Trans Electr Energ Syst

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Large penetration of intermittent wind power creates reliability and system security issues in power system operation which can be alleviated by providing energy storage systems (ESS). In this view, this paper proposes stochastic security constrained unit commitment (SCUC) framework with battery energy storage (BES) considering wind power uncertainty and N-1-line contingency criteria. The uncertain wind power is modeled through probable scenarios. In addition, use of N-1 security criteria for pre and post line contingency is modeled using DC power flow. Conventionally, injection shift factor (ISF) are used in power flow equations however, N-1 security formulation is computationally heavy and takes huge time. This work proposes the use of line outage distribution factor (LODF) to reduce the number of non-zero coefficients of post contingency DC security constraints for improving computational requirement. Mathematical model is complex mixed integer linear programming (MILP) problem and solved using benders decomposition for modified IEEE reliability test system and 118-bus system. The results analyze the impact of BES, total operating costs with LODF and ISF, locational marginal price (LMP), wind curtailment, BES scheduling and computation time. The proposed model is economically beneficial for power system operations under large wind penetration. K E Y W O R D S battery energy storage, line outage distribution factor, security constrained unit commitment and wind integration 1 | INTRODUCTION Renewable integration is increasing at a faster rate owing to its environmental benefits and negligible operational cost. However, large plants like wind farms are located at the remote geographical area with limited network capability and low nearby loads. High wind penetration in such regions may produce transmission congestion. Also, large uncertainty

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Security-Constrained Unit Commitment in Presence of Lithium-Ion Battery Storage Units Using Information-Gap Decision Theory

Cited by 80 publications

References 36 publications

Information-Gap Decision Theory for Robust Operation of Integrated Electricity and Natural Gas Transmission Networks

Information-Gap Decision Theory for Robust Operation of Integrated Electricity and Natural Gas Transmission Networks

Day-Ahead Optimal Battery Operation in Islanded Hybrid Energy Systems and Its Impact on Greenhouse Gas Emissions

Stochasticsecurity constrained unit commitmentwith battery energy storage and wind power integration

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