Optimal Scheduling of Demand Response in Pre-Emptive Markets Based on Stochastic Bilevel Programming Method

Talari, Saber; Shafie‐khah, Miadreza; Wang, Fei; Aghaei, Jamshid; Catalào, João P. S.

doi:10.1109/tie.2017.2786288

Cited by 68 publications

(32 citation statements)

References 20 publications

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“…In this section, the mathematical formulation of the proposed two-stage stochastic model is presented based on a combination of different methods and underlying concepts from references [9,12,[26][27][28][29]. RES stochastic parameters are modeled by taking into account several possible scenarios, in order to simulate the different events in real time.…”

Section: Methodsmentioning

confidence: 99%

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Demand-Side Management of Smart Distribution Grids Incorporating Renewable Energy Sources

et al. 2019

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The integration of renewable energy resources (RES) (such as wind and photovoltaic (PV)) on large or small scales, in addition to small generation units, and individual producers, has led to a large variation in energy production, adding uncertainty to power systems (PS) due to the inherent stochasticity of natural resources. The implementation of demand-side management (DSM) in distribution grids (DGs), enabled by intelligent electrical devices and advanced communication infrastructures, ensures safer and more economical operation, giving more flexibility to the intelligent smart grid (SG), and consequently reducing pollutant emissions. Consumers play an active and key role in modern SG as small producers, using RES or through participation in demand response (DR) programs. In this work, the proposed DSM model follows a two-stage stochastic approach to deal with uncertainties associated with RES (wind and PV) together with demand response aggregators (DRA). Three types of DR strategies offered to consumers are compared. Nine test cases are modeled, simulated, and compared in order to analyze the effects of the different DR strategies. The purpose of this work is to minimize DG operating costs from the Distribution System Operator (DSO) point-of-view, through the analysis of different levels of DRA presence, DR strategies, and price variations.

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Section: Methodsmentioning

confidence: 99%

“…The binary variable u LS tnk act as an indicator i.e., if there is a load reduction this assumes the value 1. Equation (27) assures to the DRA that the LS contracts are only offered to the consumers in periods where the load can be moved to other hours.…”

Section: Demand Response Strategiesmentioning

confidence: 99%

Demand-Side Management of Smart Distribution Grids Incorporating Renewable Energy Sources

et al. 2019

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“…X = B −1 , B is the imaginary part of nodal admittance matrix Y. Thus, the active power flow of branch i-j can be expressed as a function of node active power injections as Equation (3).…”

Section: Brief Illustrations Of the Existing Apssr Construction Methodsmentioning

confidence: 99%

“…With the continuous integration of sustainable energy power generation such as wind power and photovoltaics, and the increase of load uncertainty in power markets under competitive mechanisms, the power flow of smart grids is becoming more complex with random variations of power supply output and uncertainty of load [1][2][3][4]. As an important part of security region methodology, steady-state security regions can be used for real-time on-line security analysis and monitoring as well as prevention and control of the power system [5].…”

Section: Introductionmentioning

confidence: 99%

Novel Method for Rapidly Constructing Active Power Steady-State Security Regions Incorporating the Equivalent Reactances of TCSCs

et al. 2018

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Active power steady-state security regions (APSSRs), which can provide guidance for prevention and control through security checks, is of great importance for the safe operation of power systems in which more and more sustainable energy power generation is integrated. As a mature flexible AC transmission system (FACTS) device, thyristor-controlled series compensators (TCSCs) can carry out series compensation for the transmission line by controlling its equivalent reactance. With the change of the equivalent reactance parameter of a TCSC, the nodal admittance matrix and power flow distribution of the power system also changes. Inevitably, the APSSR will be different. Therefore, it is necessary and important to further incorporate the equivalent reactance parameters of TCSCs in the APSSR expression, which is generally established in the space of node active power injections. In this paper, a rapid construction method of APSSRs incorporating the equivalent reactances of TCSCs is proposed. Firstly, applicability and efficiency of the conventional APSSR construction method for power systems with TCSCs are analyzed. Further, with equivalent disconnection of TCSC branches, the effect of TCSC equivalent reactances on the distribution of active power flow through changing the structure parameters is treated as modifying node active power injections. On this basis, explicit expressions of APSSRs with a single TCSC equivalent reactance parameter and double TCSC equivalent reactance parameters are derived, respectively. Moreover, by deducing the general formula of APSSRs with multiple TCSC equivalent reactance parameters, the feasibility of the proposed method for power systems with multiple TCSCs is analyzed. Eventually, via benchmarks with different scales and a different number of TCSCs, validity and superiorities of the proposed method in computational efficiency are demonstrated.

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“…The authors of [18] proposed a methodology for the optimal scheduling of DR, providing constraints to the load shifting and curtailment, maximizing the aggregator profits. The DR contracts are established between the independent system operator (ISO) and the aggregators.…”

Section: Related Work and Contributionmentioning

confidence: 99%

A Demand Response Approach to Scheduling Constrained Load Shifting

Faria

Vale

2019

Energies

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Demand response (DR) and its advantages are nowadays unquestionable due to the success of several recent implementations of DR programs. Improved methodologies and approaches are needed for the adequate consumers’ schedule in DR events, taking the consumers’ behaviour and preferences into account. In this paper, a virtual power player manages DR programs, minimizing operation costs, respecting the consumption shifting constraints. The impact of the consumption shifting in the target periods is taken into consideration. The advantages of the DR use in comparison with distributed generation (DG) are evaluated. Two scenarios based on 218 consumers in a frame of 96 periods have been implemented. It is demonstrated the advantages of DR in the operation of distributed energy resources, namely when considering the lack of supply.

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Optimal Scheduling of Demand Response in Pre-Emptive Markets Based on Stochastic Bilevel Programming Method

Cited by 68 publications

References 20 publications

Demand-Side Management of Smart Distribution Grids Incorporating Renewable Energy Sources

Demand-Side Management of Smart Distribution Grids Incorporating Renewable Energy Sources

Novel Method for Rapidly Constructing Active Power Steady-State Security Regions Incorporating the Equivalent Reactances of TCSCs

A Demand Response Approach to Scheduling Constrained Load Shifting

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