Impacts of Demand-Side Management on Electrical Power Systems: A Review

Jabir, Hussein Jumma; Teh, Jiashen; Ishak, Dahaman; Abunima, Hamza

doi:10.3390/en11051050

Cited by 162 publications

(82 citation statements)

References 89 publications

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“…Secondly, deferrable consumption can be managed to follow the variations of available production. This is already widely known, with the name of DSM (demand side management), but it is mainly used in the context of smart grids [33]. The standalone RES prototype has incorporated an EMS to fulfil this function.…”

Section: Discussionmentioning

confidence: 99%

Standalone Renewable Energy and Hydrogen in an Agricultural Context: A Demonstrative Case

2019

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Standalone renewable energy is widely used to power irrigation systems. However, in agricultural facilities, electricity from the grid and diesel are also consumed. The design and sizing of renewable generation involves difficulties derived from the different seasonal profiles of production and demand. If the generation is 100% renewable, a considerable energy surplus is usually included. This paper is focused on a renewable energy system, which has been installed in a vineyard, located in the northeast of Spain. With energy from the photovoltaic fields, the wastewater treatment plant of the winery, a drip irrigation system and other ancillary consumptions are fed. The favourable effect of combining consumptions with different seasonal profiles is shown. The existence of some deferrable loads and the energy management strategy result in an aggregate consumption curve that is well suited to production. Besides, the required energy storage is relatively small. The surplus energy is used for the on-site production of hydrogen by the electrolysis of water. The hydrogen refuels a hybrid fuel cell electric vehicle, used for the mobility of workers in the vineyard. In summary, electricity and hydrogen are produced on-site (to meet the energy needs) from 100% renewable sources and without operating emissions.

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Section: Discussionmentioning

confidence: 99%

Standalone Renewable Energy and Hydrogen in an Agricultural Context: A Demonstrative Case

2019

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“…The DR program can be implemented using various techniques [8]. The load shifting technique is the most balanced technique, providing no to little loss of load demand due to manipulation of the load curve because the technique clips all the on-peak hours energy and transfers them to the off-peak hours [22].…”

Section: Demand Response Modelmentioning

confidence: 99%

“…For instance, the ability of ESS to improve the adequacy of a power supply is affected by its charging and discharging cycle, storage capacity, power ratings, and roundtrip efficiency. The DR program is only effective with enough participation and cooperation from electricity consumers and is therefore affected by parameters such as building and occupancy profiles, underlying services, and the desired level of comfort [8,9]. Given the diversification in both technologies, DR is facilitated by different forms of ESS [8,10], especially thermal storage such as hot water tanks and building thermal inertial [11,12], and the more recent electric vehicles and battery ESS (BESS) [13].…”

Section: Introductionmentioning

confidence: 99%

Adequacy Assessment of Wind Integrated Generating Systems Incorporating Demand Response and Battery Energy Storage System

Teh

2018

Energies

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The demand response and battery energy storage system (BESS) will play a key role in the future of low carbon networks, coupled with new developments of battery technology driven mainly by the integration of renewable energy sources. However, studies that investigate the impacts of BESS and its demand response on the adequacy of a power supply are lacking. Thus, a need exists to address this important gap. Hence, this paper investigates the adequacy of a generating system that is highly integrated with wind power in meeting load demand. In adequacy studies, the impacts of demand response and battery energy storage system are considered. The demand response program is applied using the peak clipping and valley filling techniques at various percentages of the peak load. Three practical strategies of the BESS operation model are described in this paper, and all their impacts on the adequacy of the generating system are evaluated. The reliability impacts of various wind penetration levels on the generating system are also explored. Finally, different charging and discharging rates and capacities of the BESS are considered when evaluating their impacts on the adequacy of the generating system.

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“…Non-shiftable load demands, on the other hand, are appliances that are static in terms of the time of use, they have a fixed time of period as to when to use, such as illumination loads. DSM has recently received heightened attention in terms of flexibility provision capability using flexible demand resources (FDRs) to achieve the controllability of the customer load demand pattern [25]. In general, the FDRs provide allowances and capacity for time-shifting in terms of their energy requirements.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimal Capacity Planning for 100% Renewable Energy-Based Microgrid Incorporating Cost of Demand-Side Flexibility Management

et al. 2019

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The need for energy and environmental sustainability has spurred investments in renewable energy technologies worldwide. However, the flexibility needs of the power system have increased due to the intermittent nature of the energy sources. This paper investigates the prospects of interlinking short-term flexibility value into long-term capacity planning towards achieving a microgrid with a high renewable energy fraction. Demand Response Programs (DRP) based on critical peak and time-ahead dynamic pricing are compared for effective demand-side flexibility management. The system components include PV, wind, and energy storages (ESS), and several optimal component-sizing scenarios are evaluated and compared using two different ESSs without and with the inclusion of DRP. To achieve this, a multi-objective problem which involves the simultaneous minimization of the loss of power supply probability (LPSP) index and total life-cycle costs is solved under each scenario to investigate the most cost-effective microgrid planning approach. The time-ahead resource forecast for DRP was implemented using the scikit-learn package in Python, and the optimization problems are solved using the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm in MATLAB R . From the results, the inclusion of forecast-based DRP and PHES resulted in significant investment cost savings due to reduced system component sizing.Keywords: demand response program (DRP); photovoltaic system (PV); pumped heat energy storage (PHES); critical peak pricing (CPP) DRP; time-ahead dynamic pricing (TADP) DRP; loss of power supply probability (LPSP); energy storage system (ESS); Multi-Objective Particle Swarm Optimization (MOPSO)

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Impacts of Demand-Side Management on Electrical Power Systems: A Review

Cited by 162 publications

References 89 publications

Standalone Renewable Energy and Hydrogen in an Agricultural Context: A Demonstrative Case

Standalone Renewable Energy and Hydrogen in an Agricultural Context: A Demonstrative Case

Adequacy Assessment of Wind Integrated Generating Systems Incorporating Demand Response and Battery Energy Storage System

Multi-Objective Optimal Capacity Planning for 100% Renewable Energy-Based Microgrid Incorporating Cost of Demand-Side Flexibility Management

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