A stochastic unit commitment policy for wind power uncertainty integrating corrective actions

Pereira-Bonvallet, Eduardo; Suazo-Martínez, Carlos; Palma‐Behnke, Rodrigo

doi:10.1109/pesmg.2013.6672994

Cited by 3 publications

(29 citation statements)

References 13 publications

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“…These include operational strategies (e.g. energy curtailment [8], power output controls [9][10][11][12], more frequent dispatches [13], industrial and residential demand-side management (DSM) [14]), new market structures, and integration between different energy vectors such as the heat, transport and power sectors [15][16][17][18]. Alternatively, one can modify the power system infrastructure by reinforcing the transmission infrastructure [19,20], adding flexible generation technologies (e.g.…”

Section: Introductionmentioning

confidence: 99%

Challenges and trends of energy storage expansion planning for flexibility provision in low-carbon power systems – a review

Haas

Cebulla

Cao

et al. 2017

Renewable and Sustainable Energy Reviews

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125

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Expansion planning models are often used to support investment decisions in the power sector. Towards the massive insertion of renewable energy sources, expansion planning of energy storage systems (SEP-Storage Expansion Planning) is becoming more popular. However, to date, there is no clear overview of the available SEP models in the literature. To shed light on the existing approaches, this review paper presents a broad classification of SEP, which is used to analyze a database of about 90 publications to identify trends and challenges. The trends we found are that while SEP was born more than four decades ago, only in the last five years increasing research efforts were put into the topic. The planning has evolved from adequacy criteria to broader targets, such as direct costs, mitigation of CO2 emissions, and renewable integration. The modeling of the network, power system, energy storage systems (ESS), and time resolution are becoming more detailed. Uncertainty is often considered and the solution methods are still very diverse. As outstanding challenges, we found that (1) the large diversity of ESS, in contrast to conventional generation technologies, and (2) the complex lifetime and efficiency functions need to be addressed in the models. (3) Only a high temporal and spatial resolution will allow for dimensioning the challenge of integrating renewables and the role of ESS. (4) Although the value of ESS lies beyond shifting energy in time, current SEP is mostly blind to other system services. (5) Today, many flexibility options are available, but they are often assessed separately. In the same line, although cross-sectorial (power, heat, transport, water) SEP is becoming more frequent, there are many open tasks towards an integrated coordination. The planning of future energy systems will be multi-sectorial and multi-objective, consider the multi-services of ESS, and will inherently require interdisciplinary efforts.

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Section: Introductionmentioning

confidence: 99%

Challenges and trends of energy storage expansion planning for flexibility provision in low-carbon power systems – a review

Haas

Cebulla

Cao

et al. 2017

Renewable and Sustainable Energy Reviews

Self Cite

125

View full text Add to dashboard Cite

show abstract

“…Integrating intraday adjustment event into day-ahead UC calculation as well as obtaining a UC decision with the lowest total costs including adjustment cost is another method. In [ 17 ], the intraday operation decisions including fast start UC and switching operation modes of combined cycle gas turbines were integrated into the day-ahead scheduling process, by relaxing some of the nonanticipativity constraints based on the two-stage stochastic UC model. In this approach, only the commitment states of fast start units and combined cycle gas turbines can be adjusted in the intraday UC adjustment action.…”

Section: Introductionmentioning

confidence: 99%

A Three-Stage Birandom Program for Unit Commitment with Wind Power Uncertainty

Zhang

Rao

et al. 2014

The Scientific World Journal

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The integration of large-scale wind power adds a significant uncertainty to power system planning and operating. The wind forecast error is decreased with the forecast horizon, particularly when it is from one day to several hours ahead. Integrating intraday unit commitment (UC) adjustment process based on updated ultra-short term wind forecast information is one way to improve the dispatching results. A novel three-stage UC decision method, in which the day-ahead UC decisions are determined in the first stage, the intraday UC adjustment decisions of subfast start units are determined in the second stage, and the UC decisions of fast-start units and dispatching decisions are determined in the third stage is presented. Accordingly, a three-stage birandom UC model is presented, in which the intraday hours-ahead forecasted wind power is formulated as a birandom variable, and the intraday UC adjustment event is formulated as a birandom event. The equilibrium chance constraint is employed to ensure the reliability requirement. A birandom simulation based hybrid genetic algorithm is designed to solve the proposed model. Some computational results indicate that the proposed model provides UC decisions with lower expected total costs.

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“…Constraints (2-8)-(2-9) provide the bounds for the up-and down-spinning reserve contributions, respectively. Finally, the binary nature of scheduling variables is expressed in (2)(3)(4)(5)(6)(7)(8)(9)(10).…”

Section: Conventional Contingency-constrained Problem Formulationmentioning

confidence: 99%

“…In In (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12) and (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14), the statuses of system components are characterized by the generator and line availability binary parameters, A k i and A k l , respectively. The dimension of model (2-1)- (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14), in terms of the number of variables and constraints, and hence its computational tractability, both depend on the cardinality of C. For the case of a joint generation and transmission security criterion, the contingency set C can be modeled in a compact way as:…”

Section: Conventional Contingency-constrained Problem Formulationmentioning

confidence: 99%

“…Load variations imply demand uncertainty, for which works proposed stochastic [3] and robust approaches [4]. Finally, the complex management of reservoirs in hydrothermal systems [5,6] and the recent increasingly penetration of wind farms in power systems [7] play a major role in the power generation uncertainty, which is mainly addressed by stochastic optimization. This work focuses on uncertainty inherent to availability of equipments and energy demand.…”

Section: Introductionmentioning

confidence: 99%

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Two-Stage Robust Optimization Models for Power System Operation and Planning Under Joint Generation and Transmission Security Criteria

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A stochastic unit commitment policy for wind power uncertainty integrating corrective actions

Cited by 3 publications

References 13 publications

Challenges and trends of energy storage expansion planning for flexibility provision in low-carbon power systems – a review

Challenges and trends of energy storage expansion planning for flexibility provision in low-carbon power systems – a review

A Three-Stage Birandom Program for Unit Commitment with Wind Power Uncertainty

Two-Stage Robust Optimization Models for Power System Operation and Planning Under Joint Generation and Transmission Security Criteria

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