Hybrid stochastic risk-based approach for a microgrid participating in coupled active and reactive power market

Nikpour, Ahmad; Nateghi, Abolfazl; Shafie‐khah, Miadreza; Catalão, João P.S.

doi:10.1016/j.ijepes.2021.107080

Cited by 11 publications

(11 citation statements)

References 33 publications

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“…In [24], the participation of a VPP (Virtual Power Plant), with high penetration of PV, in voltage AS market is discussed, and a method for this purpose is suggested. An array of parameters, such as AS and reactive power, are presented in [25], though DRPs can be used to develop this reference.…”

Section: B Literature Reviewmentioning

confidence: 99%

“…Part one describes the profit of the contract regardless of the call for AS. Part two describes the profit of calling and generating AS [25].…”

Section: A Revenue Of Asmentioning

confidence: 99%

“…By rising the amount of reactive power generation, generator losses increase, and at the same time, active power production decreases. [25] presents different methods for calculating this power loss. Fig.…”

Section: Additional Loss Of Production Reactive Powermentioning

confidence: 99%

“…Equation )8( shows limitation of active and reactive power in electronic converters of PV [37]. Loss in ( 8) can be modeled like (7) [25], [36].…”

Section: Expected Payment Function (Epf)mentioning

confidence: 99%

“…In current work, Beta and Weibull PDFs are suggested to cover uncertainties of solar radiation and wind speed. This PDFs are presented in [25], [19], [38], [39]. The output power of PV is described in [19], [25], [ 29] and the output power of WT is represented in [19], [ 25], [38], [39].…”

Section: Expected Payment Function (Epf)mentioning

confidence: 99%

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Stochastic-Risk Based Approach for Microgrid Participation in Joint Active, Reactive, and Ancillary Services Markets Considering Demand Response

Nikpour

Nateghi

Shafie‐khah

2023

IEEE Open J. Power Energy

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In the restructured power systems, renewable energy sources (RES) have been developed. Uncertainties of these generators reduce the reliability and stability of power systems. The frequency and voltage for the correct operation of the power systems must always be maintained within a nominal value. Ancillary services (AS), energy storage systems (ESS), and demand response programs (DRPs) can be effective solutions for mentioned problems. Microgrids (MG) can make an improvement in their profits and efficiency by participating in various markets. This paper provides an optimal scheduling for the simultaneous participation of MGs in coupled active, reactive power and AS markets (regulation, spinning reserve and non-spinning reserve) by considering ESS, DRPs, call for deploying AS, and the uncertainties of wind and solar productions. Capability diagrams; mathematical equations are used to model active and reactive power of generation units. Risk management in this paper is done by the conditional value at risk (CVaR) method and probability distribution functions (PDF) are used for modeling uncertainties of wind speed and solar radiation. The ERCOT (Electric Reliability Council of Texas) market is simulated with real world data.

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Section: B Literature Reviewmentioning

confidence: 99%

“…Part one describes the profit of the contract regardless of the call for AS. Part two describes the profit of calling and generating AS [25].…”

Section: A Revenue Of Asmentioning

confidence: 99%

Section: Additional Loss Of Production Reactive Powermentioning

confidence: 99%

“…Equation )8( shows limitation of active and reactive power in electronic converters of PV [37]. Loss in ( 8) can be modeled like (7) [25], [36].…”

Section: Expected Payment Function (Epf)mentioning

confidence: 99%