Demand-Side Management and Demand Response for Smart Grid

Mohammad, Mohammad; Mishra, Yateendra

doi:10.1007/978-981-13-1768-2_6

Cited by 21 publications

(4 citation statements)

References 75 publications

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“…Thus, this allows better control of the peak load of the system Thus, this will allow better control of the peak load on the system. − Offer real-time information on the current power usage in the user's side [21], [22]. − Increase efficiencies in power delivery and enhancement reliability and quality of electrical power systems in the gird [23], [24].…”

Section: The Benefit Of Smart Grid For Iraqi Gridmentioning

confidence: 99%

Smart grid application in the Iraqi power system: current and future challenges

2022

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A smart grid could generate and distribute electricity effectively economically, securely and sustainably. It offers customers more information and choice, including the export of energy to the grid, demand-side participation and energy efficiency. However, to implement a smart grid into the Iraqi power system, various challenges should be faced, especially concerns related to understanding the contents and features of this network compared with the traditional Iraqi network. As well as the challenges and risks of implementing the smart grid itself in the modern work environment, especially with the tremendous progress in communication technologies, which has brought serious problems to the operation of the network such as cyberattacks. Also, the traditional Iraqi network suffers from various problems, including the large deficit in the generated power-to-load demand ratio, which reaches about more than a third, and the great destruction that the network has been subjected to because of the wars that the country has been exposed to during the past three decades. In this study, a clear vision was presented to researchers and engineers who are interested in applying the smart grid in Iraq on this vital topic, which will greatly help in applying this essential matter to develop the work of the Iraqi power system and improve the efficiency and services it provides.

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Section: The Benefit Of Smart Grid For Iraqi Gridmentioning

confidence: 99%

Smart grid application in the Iraqi power system: current and future challenges

2022

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“…As a result, the incorporation of smartness into grid infrastructures is now making the concept of demand-side management (DSM) a vital component of the electricity infrastructures of many nations all over the world [11]. While DSM is a broad concept, demand response programs (DRP) are underlying energy market strategies whereby consumers' electricity consumption behaviors are tactically altered regarding the time of demand for using their flexible loads [12]. The specific goal of demand-side management is to ensure that the most suitable and economically viable operating conditions are achieved based on the information on the available supply (generating) capacity, the demand (load) requirements, and the energy market dynamics per time.…”

Section: Introductionmentioning

confidence: 99%

Optimal Capacity and Operational Planning for Renewable Energy-Based Microgrid Considering Different Demand-Side Management Strategies

et al. 2023

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A bi-objective joint optimization planning approach that combines component sizing and short-term operational planning into a single model with demand response strategies to realize a techno-economically feasible renewable energy-based microgrid is discussed in this paper. The system model includes a photovoltaic system, wind turbine, and battery. An enhanced demand response program with dynamic pricing devised based on instantaneous imbalances between surplus, deficit, and the battery’s power capacity is developed. A quantitative metric for assessing energy storage performance is also proposed and utilized. Emergency, critical peak pricing, and power capacity-based dynamic pricing (PCDP) demand response programs (DRPs) are comparatively analyzed to determine the most cost-effective planning approach. Four simulation scenarios to determine the most techno-economic planning approach are formulated and solved using a mixed-integer linear programming algorithm optimization solver with the epsilon constraint method in Matlab. The objective function is to minimize the total annualized costs (TACs) while satisfying the reliability criterion regarding the loss of power supply probability and energy storage dependency. The results show that including the DRP resulted in a significant reduction in TACs and system component capacities. The cost-benefit of incorporating PCDP DRP strategies in the planning model increases the overall system flexibility.

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“…Demandside management (DSM) is a technique for balancing the electric power system by adjusting energy demand to match available electrical supply [1]. Demand response (DR) is a process of DSM that alleviates grid supply by providing an opportunity for users to take part in the power grid management by selectively reducing or shifting their smart loads in response to electricity pricing rates and ancillary service stress states [2]. Various DR methods and surveys are presented in the literature [3]- [5].…”

Section: Introductionmentioning

confidence: 99%

A Constrained Programming-Based Algorithm for Optimal Scheduling of Aggregated EVs Power Demand in Smart Buildings

2022

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In this paper, a novel cooperative charging strategy for electric vehicles tuned by a constraint programming algorithm has been proposed. The implemented model handles heterogeneous and large-scale residential areas by not only reducing the EV peak charging load, but also improving the user satisfaction levels. The evaluation of the capability of the proposed model at both individual and aggregated levels is considered through various scenarios. The simulated results prove the potential of the proposed cooperative EV strategy in outperforming the uncoordinated EV charging model in terms of peak-to-average ratio reduction, user satisfaction level, and load factor improvement in addition to the suppression of the peak load increase. Furthermore, comparative analysis with existing models shows that the proposed algorithm can manage more complex policies and is performed significantly and efficiently.INDEX TERMS EV charging control, Coordinated management, Peak-to-average ratio, User satisfaction.

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Demand-Side Management and Demand Response for Smart Grid

Cited by 21 publications

References 75 publications

Smart grid application in the Iraqi power system: current and future challenges

Smart grid application in the Iraqi power system: current and future challenges

Optimal Capacity and Operational Planning for Renewable Energy-Based Microgrid Considering Different Demand-Side Management Strategies

A Constrained Programming-Based Algorithm for Optimal Scheduling of Aggregated EVs Power Demand in Smart Buildings

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