Transmission-constrained generation maintenance scheduling considering market-based demand response

Marini, Abbas; Latify, Mohammad Amin

doi:10.1002/etep.2187

Cited by 5 publications

(6 citation statements)

References 41 publications

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“…In the next step, using Algorithm 2, a priority list is generated for node candidates. Table shows the results of the proposed algorithm along with other market‐based methods …”

Section: Numerical Resultsmentioning

confidence: 99%

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A new restructuring of centralized congestion management focusing on flow-gate and locational price impacts

Nematbakhsh

Hooshmand

Hemmati

2017

Int Trans Electr Energ Syst

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Summary In the operation of a deregulated power system, congestion and power loss are the two major factors causing price fluctuation in different parts of the network. In this paper, a new method is proposed for calculating and investing the congestion surplus. In this method, congestion surplus, which is calculated on the basis of flow‐gate marginal prices, is used as an economic signal to control the network. In this regard, different strategies such as the definition of sensitive buses and priority list of the congested lines are proposed from the perspective of flow‐gate marginal price concept. In order to verify the novel reformation, distributed generation planning is presented as an illustrative example. In this approach, proper investment is applied to increase the social welfare under new formulation in the presence of distributed generation resources. The proposed algorithm is implemented on IEEE 30‐bus and IEEE 57‐bus networks. The results emphasize the accuracy and efficiency of the proposed algorithm for calculating the congestion surplus and increasing social welfare with the least amount of investment.

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“…In the next step, using Algorithm 2, a priority list is generated for node candidates. Table shows the results of the proposed algorithm along with other market‐based methods …”

Section: Numerical Resultsmentioning

confidence: 99%

“…Congestion management problems can be considered from different perspectives such as pricing methods, centralize/decentralized controlling methods, and special objective functions . In the first group, the autors focus on different methods to find the marginal prices in injection and consumption nodes.…”

Section: Introductionmentioning

confidence: 99%

A new restructuring of centralized congestion management focusing on flow-gate and locational price impacts

Nematbakhsh

Hooshmand

Hemmati

2017

Int Trans Electr Energ Syst

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“…Under the smart environment, demand-side behaviors, enabled by demand response programs (DRPs), affect the units' optimum GM schedule. The impacts of demand-side management (DSM) on GM scheduling have been investigated in several works [1,[17][18][19]. To consider the impacts of GM outages on the electricity prices, in [1], the demand response (DR) under a competitive market environment was incorporated in the GM model.…”

Section: Motivation and Literature Reviewmentioning

confidence: 99%

“…The impacts of demand-side management (DSM) on GM scheduling have been investigated in several works [1,[17][18][19]. To consider the impacts of GM outages on the electricity prices, in [1], the demand response (DR) under a competitive market environment was incorporated in the GM model. In [18], a competitive structure of GM scheduling under a deregulated environment incorporating demand-side conditions was presented in which besides the main goal of GM, the customers' satisfaction was also considered.…”

Section: Motivation and Literature Reviewmentioning

confidence: 99%

Environmentally constrained reliability‐based generation maintenance scheduling considering demand‐side management

Mollahassani-pour

Rashidinejad

Pourakbari‐Kasmaei

2019

IET Generation, Transmission & Distribution

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This paper scrutinizes the impacts of demand-side resources (DSRs) on the power system reliability via a novel multi-target generation maintenance (GM) model. The nominated model uses the Lexicographic preferences to hierarchically consider the environmental issues, economics, and reliability of power systems. In this regard, the produced emission, which reflects the per unit produced pollutant values in different locations, is minimized. Taking into account the environmental constraints, the total incurred expenditures, including operating and maintenance costs, reserves costs, and total incentives are also minimized. Subsequently, the GM problem considering the correlation constraints is handled while the reliability index, the average net reserve value (ANRV), is maximized over the scheduling horizon. The DSRs improve the system reliability such that the total costs, and emission level, do not exceed the situation in which DSRs are not available. The GM scheduling is a highly complicated problem and considering DSRs makes it even more complicated. To handle this problem more efficiently, appropriate linearization technique is used, while the proposed model is formulated in GAMS modeling language. To evaluate the capability of DSRs in system reliability improvement, the modified 24-bus IEEE-RTS is conducted. Results indicate that by selecting proper location and incentives, significant improvement is obtained. Nomenclature Indexes and Sets b Bus index. i Unit index. l Transmission line index. N , N , N , N Number of units, units in region R, buses, and lines, respectively. N , N , N Number of segments to linearize emission, cost, and incentive curves, respectively. t Time index.

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“…In traditional power system, Demand Response (DR) had been widely used. [8][9][10] On the demand side of integrated energy system, IDR was defined as the derivation and extension of DR by Sheikhi and Bahrami in 2015. 11 Based on this, IDR had been involved in integrated energy system and played a significant role.…”

Section: Introductionmentioning

confidence: 99%

Low carbon multi‐objective scheduling of integrated energy system based on ladder light robust optimization

Zhang

Zhao

2020

Int Trans Electr Energ Syst

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Under the low carbon background, a multi‐objective scheduling model of electrical‐thermal integrated energy system which aims at minimizing the integrated operating costs and minimizing the carbon trading costs is established. The uncertainty of wind power brings new challenge to integrated energy systems. In recent years, light robust optimization has been effectively applied to solve the uncertainty of wind power. However, traditional light robust optimization has the shortcomings of over‐conservative decision or excessive violation of constraints. Therefore, light robustness coefficient is introduced to adjust the deterioration tolerance of the objective function. To constrain the relaxation, the relaxation threshold and the ladder penalty coefficient are defined to generate the ladder penalty cost. Then, the ladder light robust optimization is used to deal with the uncertainty of the source‐load sides and a multi‐objective scheduling model based on the ladder light robust optimization is proposed. Finally, the Multi‐objective Optimization Bacterial Colony Chemotaxis (MOBCC) algorithm is used to solve the model. Simulations results show that the proposed model can reduce the total costs by 5.56% and the wind power curtailment rate to 0.45%. Furthermore, different schemes are compared to verify that the ladder light robust optimization can provide a trade‐off between economy and conservation of the system.

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Transmission-constrained generation maintenance scheduling considering market-based demand response

Cited by 5 publications

References 41 publications

A new restructuring of centralized congestion management focusing on flow-gate and locational price impacts

A new restructuring of centralized congestion management focusing on flow-gate and locational price impacts

Environmentally constrained reliability‐based generation maintenance scheduling considering demand‐side management

Low carbon multi‐objective scheduling of integrated energy system based on ladder light robust optimization

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