Stochastic and Deterministic Unit Commitment Considering Uncertainty and Variability Reserves for High Renewable Integration

Marneris, Ilias G.; Biskas, Pandelis N.; Bakirtzis, Anastasios G.

doi:10.3390/en10010140

Cited by 34 publications

(21 citation statements)

References 52 publications

(51 reference statements)

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“…Forecasting technologies can be used here to predict the weather and hence the generation output of the intermittent renewable energy sources at various time scales to allow the grid operators to facilitate the scheduling and dispatching of the sources more effectively. In addition, the grid operators will need an advanced "unit commitment" process that is unlike the Electronics 2019, 8, 1443 4 of 28 deterministic one and capable of predicting the uncertain outcomes that the forecasting technologies cannot predict [21]. Therefore, it is recommended that the resources scheduling of the system take into account the stochastic nature of intermittent renewable energy power generation and their level of concentration on the system, which results in a cost-effective way to maintain the system's flexibility and avoids risking the system's reliability [22].…”

Section: Partial Unpredictabilitymentioning

confidence: 99%

The Technical Challenges Facing the Integration of Small-Scale and Large-scale PV Systems into the Grid: A Critical Review

Alshahrani

Omer

et al. 2019

Electronics

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Decarbonisation, energy security and expanding energy access are the main driving forces behind the worldwide increasing attention in renewable energy. This paper focuses on the solar photovoltaic (PV) technology because, currently, it has the most attention in the energy sector due to the sharp drop in the solar PV system cost, which was one of the main barriers of PV large-scale deployment. Firstly, this paper extensively reviews the technical challenges, potential technical solutions and the research carried out in integrating high shares of small-scale PV systems into the distribution network of the grid in order to give a clearer picture of the impact since most of the PV systems installations were at small scales and connected into the distribution network. The paper reviews the localised technical challenges, grid stability challenges and technical solutions on integrating large-scale PV systems into the transmission network of the grid. In addition, the current practices for managing the variability of large-scale PV systems by the grid operators are discussed. Finally, this paper concludes by summarising the critical technical aspects facing the integration of the PV system depending on their size into the grid, in which it provides a strong point of reference and a useful framework for the researchers planning to exploit this field further on.

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Section: Partial Unpredictabilitymentioning

confidence: 99%

The Technical Challenges Facing the Integration of Small-Scale and Large-scale PV Systems into the Grid: A Critical Review

Alshahrani

Omer

et al. 2019

Electronics

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“…Existing studies on the flexibility problem can be categorized into two types: those that discuss the application of flexible resources, such as energy storage systems, and demand-side resources (DSRs) to mitigate the variability and uncertainty [3,[17][18][19][20]; and those that investigate operational methods such as the unit commitment (UC) and power flow to effectively respond to increased variability and uncertainty [21][22][23][24][25][26][27][28]. In the latter category, the effects of variability and uncertainty are restricted using ramp-up/down constraints (collectively known as ramp constraints) in stochastic and deterministic UC formulations [21][22][23][24][25][26]. However, ramp constraints merely guarantee a feasible solution; adequate or optimal flexibility and the trade-off between the available amount of flexible resources and the operating cost are not taken into account.…”

Section: Introductionmentioning

confidence: 99%

Analyzing the Impact of Variability and Uncertainty on Power System Flexibility

Min

2019

Applied Sciences

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Featured Application: This study presents a method for separating the variability and uncertainty in a power system, and determining which is more influential in terms of flexibility, based on the flexibility index, named the ramping capability shortage probability (RSP). A process of scenario generation and sensitivity analysis is also proposed, and applied to a modified IEEE-RTS-96. The proposed method can evaluate the individual effect of variability and uncertainty and effectively provide the system operator with information that will enable more efficient operation and planning of a power system. Abstract:This study investigates the impact of variability and uncertainty on the flexibility of a power system. The variability and uncertainty make it harder to maintain the balance between load and generation. However, most existing studies on flexibility evaluation have not distinguished between the effects of variability and uncertainty. The countermeasures to address variability and uncertainty differ; thus, applying strategies individually tailored to variability and uncertainty is helpful for more efficient operation and planning of a power system. The first contribution of this study is in separating the variability and uncertainty, and determining which is more influential in terms of flexibility in specific system situations. A flexibility index, named the ramping capability shortage probability (RSP), is used to quantify the extent to which the variability and uncertainty affect the flexibility. The second contribution is to generate various scenarios for variability and uncertainty based on a modified IEEE-RTS-96, to evaluate the flexibility. The penetration level of renewable energy resources is kept the same in each scenario. The results of a sensitivity analysis show that variability is more effective than uncertainty for high and medium net loads.

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“…For the SCUC problem, the maximization of the system security is subject to lines flow constraints, such that the minimization of line flow can be provided by the commitment of inexpensive units along with an optimal economic load dispatch [2,3]. A different UC modeling in a deterministic and stochastic manner in a 24 h horizon is presented in [4]. This formulation is focused on the determination and distribution of reserves.…”

Section: Introductionmentioning

confidence: 99%

Impact Evaluation of Electric Vehicle Parking on Solving Security-Constrained Unit Commitment Problem

Imani

Ghadi

Shamshirband

et al. 2018

MCA

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In this paper, the employment of a vehicle-to-grid (V2G) system in the security-constrained unit commitment (SCUC) problem is considered. SCUC has gained remarkable attention from researchers in the field of electric power systems, aiming to determine the generation schedule in which the system operator maximizes the system security and minimizes the generation costs, while satisfying the system and units' constraints. Tremendous technological advances in recent years have attracted the attention of system operators to utilize novel sources of electricity, accompanied with thermal units. To this end, V2G technology recently drew remarkable consideration as a new energy resource. V2G reduces the dependence of electricity production procedures on small-scale and costly thermal units, and subsequently has a strong impact on the operation costs and ameliorates the management of load vacillations. This paper presents the use of V2G in scheduling and operating power systems. A successful technique for investigating the impacts of V2G on a real power system is running SCUC on power systems in which electric vehicle parking is installed on different buses. In order to assess its applicability, the proposed method has been applied in two case studies: the IEEE 6-bus system and the extended IEEE 30-bus system. This study presents two simulation scenarios: the SCUC problem was first evaluated separately, and then in the presence of some electrical vehicles connected to the grid. The results demonstrate the reduction of the total operation cost. In addition, by using the proposed method, the operator can specify the optimal number of vehicles needed in the parking each hour. The results can help the system operators and designers in designing, planning, and operating such power systems.

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Stochastic and Deterministic Unit Commitment Considering Uncertainty and Variability Reserves for High Renewable Integration

Cited by 34 publications

References 52 publications

The Technical Challenges Facing the Integration of Small-Scale and Large-scale PV Systems into the Grid: A Critical Review

The Technical Challenges Facing the Integration of Small-Scale and Large-scale PV Systems into the Grid: A Critical Review

Analyzing the Impact of Variability and Uncertainty on Power System Flexibility

Impact Evaluation of Electric Vehicle Parking on Solving Security-Constrained Unit Commitment Problem

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