Modeling nonlinear incentive-based and price-based demand response programs and implementing on real power markets

Rahmani-Andebili, Mehdi

doi:10.1016/j.epsr.2015.11.006

Cited by 99 publications

(44 citation statements)

References 21 publications

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“…In [16][17][18], a model for cooperation of risk-cost based UC with customers, considering linear model for the responsive customers behavior, has been presented. In [19], nonlinear models of responsive customers behavior and nolinear DR (NDR) programs have been investigated in some real power markets. However, the NDR programs have not been implemented in the UC problem (UC-NDR).…”

Section: Introductionmentioning

confidence: 99%

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Nonlinear demand response programs for residential customers with nonlinear behavioral models

Rahmani-Andebili

2016

Energy and Buildings

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Section: Introductionmentioning

confidence: 99%

“…Some 7 papers have investigated DR programs in the UC and generation scheduling problems [14][15][16][17][18][19][20]. In [14], the authors have determined value of demand to be shifted from peak period to other periods by direct load control for congestion management and increasing utilization of wind power.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear demand response programs for residential customers with nonlinear behavioral models

Rahmani-Andebili

2016

Energy and Buildings

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“…Different strategies can be implemented with these reserves, such as peak clipping or valley filling. In References [41][42][43], incentive based DR programs are considered to provide ancillary services to the power system by means of active demand and their influence on the real power markets is assessed.…”

Section: Demand Responsementioning

confidence: 99%

Assessing the Demand Side Management Potential and the Energy Flexibility of Heat Pumps in Buildings

Arteconi

Polonara

2018

Energies

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Abstract:The energy demand in buildings represents a considerable share of the overall energy use. Given the significance and acknowledged flexibility of thermostatically controlled loads, they represent an interesting option for the implementation of demand side management (DSM) strategies. In this paper, an overview of the possible DSM applications in the field of air conditioning and heat pumps is provided. In particular, the focus is on the heat pump sector. Three case studies are analyzed in order to assess the energy flexibility provided by DSM technologies classified as energy efficient devices, energy storage systems, and demand response programs. The load shifting potential, in terms of power and time, is evaluated by varying the system configuration. Main findings show that energy efficient devices perform strategic conservation and peak shaving strategies, energy storage systems perform load shifting, while demand response programs perform peak shaving and valley filling strategies.

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“…Recently, price-based demand response has been widely implemented in the power market, shifting part of the behavioral-based responsive load between different periods to reduce energy costs [19,20]. Rahmani-andebili [21] proposed linear and nonlinear modeling for the incentive-based and price-based demand response programs that have been implemented in several real power markets. In Rahmani-andebili [22] modelled implementation of demand response programs considering the power unit commitment, results indicating that residential customers can decrease the cost of power using cooperative demand side management strategies, and the carbon emission from thermal power plants is also reduced.…”

Section: Introductionmentioning

confidence: 99%

Grid Load Shifting and Performance Assessments of Residential Efficient Energy Technologies, a Case Study in Japan

Gao

Ruan

et al. 2018

Sustainability

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Abstract:The increasing penetration of renewable energy decreases grid flexibility; thus, decentralized energy management or demand response are emerging as the main approaches to resolve this limitation and to provide flexibility of resources. This research investigates the performance of high energy efficiency appliances and grid-integrated distributed generators based on real monitored data from a social demonstration project. The analysis not only explores the potential cost savings and environmental benefits of high energy efficiency systems in the private sector, but also evaluates public grid load leveling potential from a bottom-up approach. This research provides a better understanding of the behavior of high decentralized efficient energy and includes detailed scenarios of monitored power generation and consumption in a social demonstration project. The scheduled heat pump effectively lifts valley load via transforming electricity to thermal energy, its daily electricity consumption varies from 4 kWh to 10 kWh and is concentrated in the early morning over the period of a year. Aggregated vehicle to home (V2H) brings flexible resources to the grid, by discharging energy to cover the residential night peak load, with fuel cost savings attributed to 90% of profit. The potential for grid load leveling via integrating the power utility and consumer is examined using a bottom-up approach. Five hundred thousand contributions from scheduled electrical vehicles (EVs) and fuel cells provide 5.0% of reliable peak power capacity at 20:00 in winter. The outcome illustrates the energy cost saving and carbon emission reduction scenarios of each of the proposed technologies. Relevant subsidies for heat pump water heater systems and cogeneration are essential customers due to the high initial capital investment. Optimal mixes in structure and coordinated control of high efficiency technologies enable customers to participate in grid load leveling in terms of lowest cost, considering their different features and roles.

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Modeling nonlinear incentive-based and price-based demand response programs and implementing on real power markets

Cited by 99 publications

References 21 publications

Nonlinear demand response programs for residential customers with nonlinear behavioral models

Nonlinear demand response programs for residential customers with nonlinear behavioral models

Assessing the Demand Side Management Potential and the Energy Flexibility of Heat Pumps in Buildings

Grid Load Shifting and Performance Assessments of Residential Efficient Energy Technologies, a Case Study in Japan

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