Corrective economic dispatch and operational cycles for probabilistic unit commitment with demand response and high wind power

Azizipanah‐Abarghooee, Rasoul; Golestaneh, Faranak; Gooi, Hoay Beng; Lin, Jeremy; Bavafa, Farhad; Terzija, Vladimir

doi:10.1016/j.apenergy.2016.07.117

Cited by 57 publications

(19 citation statements)

References 57 publications

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“…3 | BASELINE CYCLES OPTIMIZED BY JAYA ALGORITHM Jaya algorithm, as an evolutionary swarm optimization algorithm, was firstly proposed in a published paper by Annual interest rate (i) 10% (Rezayan and Behbahaninia, 36 Fazelpour and Morosuk, 40 Rao 42 in 2016 and has been employed in various kinds of studies especially including the ones related with energy and thermal engineering. [43][44][45] This optimization algorithm is advantageous for the simple solution modification principle of being close to the best solution and away from the worst one as formulated by Equation 13.…”

Section: Economic Analysismentioning

confidence: 99%

Thermoeconomic analysis of optimization potential for CO ₂ vapor compression cycle: From transcritical to supercritical operation for waste heat recovery from the steam condenser

Wang

Zhang

2018

Int J Energy Res

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Summary Recent research has been focused on the utilization of low‐grade waste heat, and the industrial high‐temperature heat pump can be an alternative technology because of its simplicity and outstanding performance. However, the use of carbon dioxide in vapor compression heat pumps with high‐temperature heat source is still to be optimized because of low critical temperature. In the present study, a system for waste heat recovery from the steam condenser using CO2 vapor compression cycle is modeled from the energetic, exergetic, and economic perspectives, and optimized system performances are obtained by dual‐objective Jaya algorithm. Potential optimized operating strategies for transcritical cycle are discussed by the parametric study and T‐s diagrams. The transcritical and supercritical cycles are further compared with each other considering different steam temperatures. The optimization strategies of transcritical cycle are based on the main purpose to improve the evaporation potential and achieve transcritical cycles with the critical point inside the closed region surrounded by the process curves, so lower superheating degree and minimum temperature difference of gas cooler, higher evaporating temperature, and more return water cooling should be employed in order to promote the cycle performances. In comparison with transcritical cycles performances, the supercritical operation shows superior performances, which are less sensitive to the variations of return water temperature.

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Section: Economic Analysismentioning

confidence: 99%

Thermoeconomic analysis of optimization potential for CO ₂ vapor compression cycle: From transcritical to supercritical operation for waste heat recovery from the steam condenser

Wang

Zhang

2018

Int J Energy Res

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“…The probabilistic power system adequacy assessment is gaining more attention with the growth of renewable generation. Various adequacy assessment studies that take into account renewable power have been presented in the last few years [7][8][9][10][11][12][13]. Most of these studies consider random events either by imposing an upper bound to reliability indices determining the loss of load or loss of energy expectation, or by adding a financial penalty into the cost function.…”

Section: Introductionmentioning

confidence: 99%

Optimal Allocation of Spinning Reserves in Interconnected Energy Systems with Demand Response Using a Bivariate Wind Prediction Model

2019

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The proposed study presents a novel probabilistic method for optimal allocation of spinning reserves taking into consideration load, wind and solar forecast errors, inter-zonal spinning reserve trading, and demand response provided by consumers as a single framework. The model considers the system contingencies due to random generator outages as well as the uncertainties caused by load and renewable energy forecast errors. The study utilizes a novel approach to model wind speed and its direction using the bivariate parametric model. The proposed model is applied to the IEEE two-area reliability test system (RTS) to analyze the influence of inter-zonal power generation and demand response (DR) on the adequacy and economic efficiency of energy systems. In addition, the study analyzed the effect of the bivariate wind prediction model on obtained results. The results demonstrate that the presence of inter-zonal capacity in ancillary service markets reduce the total expected energy not supplied (EENS) by 81.66%, while inclusion of a DR program results in an additional 1.76% reduction of EENS. Finally, the proposed bivariate wind prediction model showed a 0.27% reduction in spinning reserve requirements, compared to the univariate model.

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“…The acceptable bounds for TUs' power generations considering the up/down ramp rates are updated in the re-dispatching process of RD on the committed TUs. Accordingly, relations (17) to (19) ensure that correction of generation levels of committed TUs at hour t cannot affect the ramp rate constraints at the previous hour t-1. The prohibited operating zones strictly pose the restrictions for TUs to participate in load demand regulations.…”

Section: Proposed Handling Of the Up/down Ramping Rate Limitmentioning

confidence: 99%

“…The variables in the first group are the essential RCUC's variables that affect the convergence speed and global search potential of the introduced NSBSO algorithm. The reader is referred to [19] for more details on the challenges caused by binary variables in optimization problems. To deal with these issues, a new concept of operating or commitment cycles is introduced in this study to convert the binary variables to integer ones with extended range of variation.…”

Section: B Developed Redefining Of On/off Variablesmentioning

confidence: 99%

A New Biobjective Probabilistic Risk-Based Wind-Thermal Unit Commitment Using Heuristic Techniques

Bavafa

Niknam

Azizipanah‐Abarghooee

et al. 2017

IEEE Trans. Ind. Inf.

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Abstract-Large penetration of wind generating units in power systems necessitates a flexible unit commitment tool to handle the intermittent nature of these units as well as demand. Moreover, power system operators face not only the risks of wind power curtailments, but also probable unit outages. Therefore, assessing a trade-off between operational costs and such risks is very important. In the proposed approach, the probability of the residual demand falling within the up-and-down spinning reserve imposed by n-1 security criterion is converted into a risk index. A new bi-objective probabilistic risk/cost based unit commitment model is proposed to simultaneously minimize both the operational costs and risk. The novel formulation presented provides a new power re-dispatch process to satisfy up-and-down ramp rate constraints. A new operational cycles based unit commitment algorithm is developed. The approach profits from a new non-dominated sorting backtracking search optimization algorithm for extracting the Pareto optimal set. The proposed approach is shown to provide superior results when applied to two test systems: a) 10-unit and b) IEEE 118-bus, 54-unit system.

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Corrective economic dispatch and operational cycles for probabilistic unit commitment with demand response and high wind power

Cited by 57 publications

References 57 publications

Thermoeconomic analysis of optimization potential for CO ₂ vapor compression cycle: From transcritical to supercritical operation for waste heat recovery from the steam condenser

Thermoeconomic analysis of optimization potential for CO ₂ vapor compression cycle: From transcritical to supercritical operation for waste heat recovery from the steam condenser

Optimal Allocation of Spinning Reserves in Interconnected Energy Systems with Demand Response Using a Bivariate Wind Prediction Model

A New Biobjective Probabilistic Risk-Based Wind-Thermal Unit Commitment Using Heuristic Techniques

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Corrective economic dispatch and operational cycles for probabilistic unit commitment with demand response and high wind power

Cited by 57 publications

References 57 publications

Thermoeconomic analysis of optimization potential for CO 2 vapor compression cycle: From transcritical to supercritical operation for waste heat recovery from the steam condenser

Thermoeconomic analysis of optimization potential for CO 2 vapor compression cycle: From transcritical to supercritical operation for waste heat recovery from the steam condenser

Optimal Allocation of Spinning Reserves in Interconnected Energy Systems with Demand Response Using a Bivariate Wind Prediction Model

A New Biobjective Probabilistic Risk-Based Wind-Thermal Unit Commitment Using Heuristic Techniques

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Thermoeconomic analysis of optimization potential for CO ₂ vapor compression cycle: From transcritical to supercritical operation for waste heat recovery from the steam condenser

Thermoeconomic analysis of optimization potential for CO ₂ vapor compression cycle: From transcritical to supercritical operation for waste heat recovery from the steam condenser