Stochastic scheduling of compressed air energy storage in DC SCUC framework for high wind penetration

Gupta, Pranda Prasanta; Jain, Prerna; Sharma, Kailash Chand; Bhakar, Rohit

doi:10.1049/iet-gtd.2019.0330

Cited by 19 publications

(10 citation statements)

References 35 publications

(58 reference statements)

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“…In power flow when linearized approximation approachis used, the sensitivity factor is called as Linear Sensitivity Factor (LSF) and these are obtained from the Jacobian Matrixanalysis. 27,28 For optimal power flow sensitivity factors are generally considered. In the work proposed, as per discussion in the literature survey, Injection Shift Factor (ISF) is considered in pre contingency state and is shown by Equation 19, where ISF i m,n is a little additional injection at i node between m and n node as shown in Figure 1.…”

Section: Network Constraintsmentioning

confidence: 99%

“…To enhance the battery life, depth of discharge DOD should be properly maintained.SOC of eachbatteryis limited by Constraint (27). Constraint (28) represents the SOC of battery storageshould be within allowable limits. Also, SOC of each battery storage is given by constraint (29).…”

Section: Bes Modelmentioning

confidence: 99%

“…LODF is predominantly beneficial in large practical systems. 27,28 Using LODF in stochastic SCUC for contingency state in combined system of BES and wind generation requires further exploration.…”

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confidence: 99%

See 2 more Smart Citations

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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Section: Network Constraintsmentioning

confidence: 99%

Section: Bes Modelmentioning

confidence: 99%

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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

Self Cite

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“…The application of CAES in power system and integrated energy system has addressed much attention in recent times. The scheduling strategy for the power system containing CAES is studied in [5, 20–24]. Li et al proposed an optimal joint energy and reserve scheduling model for the power system with an AA‐CAES [5], and the constraints of AA‐CAES in providing contingency reserve and regulation reserve are modelled in detail [5].…”

Section: Introductionmentioning

confidence: 99%

“…Li et al proposed an optimal joint energy and reserve scheduling model for the power system with an AA‐CAES [5], and the constraints of AA‐CAES in providing contingency reserve and regulation reserve are modelled in detail [5]. Gupta et al [20] proposed a stochastic security‐constrained unit commitment including CAESs and WFs with using CAES for maintaining security and reliability in power system. A power system scheduling model considering the coordination of WF and CAES was proposed by Daneshi and Srivastava [21], and impacts of CAES on locational pricing, power system operation economics, wind power curtailment and environmental perspective were studied.…”

Section: Introductionmentioning

confidence: 99%

Research on optimal self‐scheduling horizon for the wind power and large‐scale CAES combined system

Miao

Yin

et al. 2019

IET Generation, Transmission & Distribution

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Optimal electric vehicles charging scheduling for energy and reserve markets considering wind uncertainty and generator contingency

Gupta

Kalkhambkar

Sharma

et al. 2021

Intl J of Energy Research

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Decarburization of electrical systems encourage high wind power into electric power systems and the electrification of transport sectors through electric vehicles (EVs). The increasing penetration of uncertain wind power generation and transportation networks via EV charging stations has introduced challenges for system operators to manage power systems and market operations. In this context, this paper presents a stochastic AC security-constrained unit commitment (SCUC) model to clear day-ahead energy and reserve markets considering transportationelectricity networks through EV charging stations in the presence of uncertain wind power and generator contingency. Pre-contingency ranking is a common strategy for reducing the time of the SCUC problem, but it provides high-impact outages. To address this issue, generator outages ranked first are identified using the postcontingency generator response ranking approach. The main contribution of this

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Stochastic scheduling of compressed air energy storage in DC SCUC framework for high wind penetration

Cited by 19 publications

References 35 publications

Stochasticsecurity constrained unit commitmentwith battery energy storage and wind power integration

Stochasticsecurity constrained unit commitmentwith battery energy storage and wind power integration

Research on optimal self‐scheduling horizon for the wind power and large‐scale CAES combined system

Optimal electric vehicles charging scheduling for energy and reserve markets considering wind uncertainty and generator contingency

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