Impact of demand response resources on unit commitment and dispatch in a day-ahead electricity market

Magnago, Fernando; Alemany, Juan; Lin, Jeremy

doi:10.1016/j.ijepes.2014.12.035

Cited by 60 publications

(23 citation statements)

References 19 publications

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“…The traditional unit commitment problem objective function focuses on minimization of generation cost along with fuel costs and startup costs [32,[34][35][36][37]. In this paper, the demand response based unit commitment problem is modeled and the main objective of the demand response unit commitment problem is used to maximize the profits of the GENCO using a Time-Based Demand Response Program (TBDRP) [38,39].…”

Section: Demand Response Unit Commitment Problem Formulationmentioning

confidence: 99%

Demand Response Unit Commitment Problem Solution for Maximizing Generating Companies’ Profit

2017

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Over the recent years there has been an immense growth in load consumption due to which, Load Management (LM) has become more significant. Energy providers around the world apply different load management concepts and techniques to improve the load profile. In order to reduce the stress over the load management, Demand Response Unit Commitment (DRUC), a new concept, has been implemented in this paper. The main feature of this concept is that both the energy providers and consumers must participate in order to get mutual benefits hence maximizing each of their profits. In this paper we discuss the time-based Demand Response Program since there is no penalty observed in this program. When the Demand Response was combined with Unit Commitment and compiled it was observed that a satisfactory solution resulted, which is proved to be mutually beneficial for both Generating Companies (GENCOs) and their customers. Here, we have used a Cat Swarm Optimization (CSO) technique to find the solution for the DRUC problem. The results are obtained using CSO technique for UC problem with and without DR program. This is compared with the results obtained using other conventional methods. The test system considered for the study is IEEE39 bus system.

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Section: Demand Response Unit Commitment Problem Formulationmentioning

confidence: 99%

Demand Response Unit Commitment Problem Solution for Maximizing Generating Companies’ Profit

2017

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“…Minimizing the generation cost, along with fuel cost and startup cost, is the prime objective of the traditional unit commitment problem [19]. The primary objective of the demand response unit commitment problem is to maximize the profits of the GENCOs using time based demand response program (TBDRP).…”

Section: Demand Response Unit Commitment Programmentioning

confidence: 99%

CSO Based Solution for Load Kickback Effect in Deregulated Power Systems

2017

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With increase in power demand, load demand values have also risen to a greater extent. Sometimes, these demands are met with the great difficulties. All these difficulties drive us to seek other alternative ways. One such a way demand response (DR) is considered in this paper, it is a new concept that is introduced in the system in order to reduce peak hour stresses. When implementing the demand response, the main setbacks that arise is the load kickback effect, which the sudden rise in demand during non-peak hours that is caused by the overuse of power by consumers, after their constant reduction of power during peak hours. This paper discusses the various kickback load types, and an effective approach to avoid and tackle kickback effect, by an effective method Cat Swarm Optimization (CSO), which is based on studying the movement of cats. The optimization has been implemented on an IEEE 30 bus and 75 bus Indian utility system, and the results are discussed.

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“…Demand response models address the change in electric usage by end-use customers to their usual consumption rates (Nwulu et al, 2013) which can be either instantaneous or pre-scheduled (Magnago et al, 2015) in response to the volatility of electricity prices, incentives designed to induce lower electricity use at peaking hours, high market prices, and when system reliability becomes an issue (Nwulu et al, 2013). These models are particularly interesting since they consider prices of power at short intervals.…”

Section: Demand Induced Dispatchmentioning

confidence: 99%

“…These models also have look ahead capabilities in the power generation market that anticipate hourly demand (Tumuluru et al, 2014;Wu et al, 2013). Magnago et al (2015) highlighted that these models are used by those who distribute or regulate electricity to improve better manageability to system operators, optimising their role in power systems and maximising revenue for the providers. These were classified into two extensive categories: emergency and economic models.…”

Section: Demand Induced Dispatchmentioning

confidence: 99%

Policy-based unit commitment problem: a case in a peaking power generation plant

Jr.

Santillan

Senen

et al. 2017

IJADS

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Unit commitment (UC) along with economic load dispatch (ELD) is an integral optimisation problem in the power generation industry. In this paper, policy-based algorithms are developed to address dispatch problems under different system configurations with the benefit of providing flexibility in addressing several desired policies of decision-makers. A case study is conducted in a diesel-fired, power plant in central Philippines to elucidate the proposed approach. Three policies were created to effectively address the optimisation problem: 1) classic UC model; 2) buying and selling strategy; 3) continuous loading strategy with various issues being considered. Results show that the strategies exhibit a significant decrease in total costs and ease of implementation with respect to the current production schedule of the case firm. Furthermore, the second policy provides the least generated cost which implies that generating firms must consider the option to sell power when market prices reach desired levels.

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Impact of demand response resources on unit commitment and dispatch in a day-ahead electricity market

Cited by 60 publications

References 19 publications

Demand Response Unit Commitment Problem Solution for Maximizing Generating Companies’ Profit

Demand Response Unit Commitment Problem Solution for Maximizing Generating Companies’ Profit

CSO Based Solution for Load Kickback Effect in Deregulated Power Systems

Policy-based unit commitment problem: a case in a peaking power generation plant

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