Multi-Objective Dynamic Economic Dispatch with Demand Side Management of Residential Loads and Electric Vehicles

Narimani, Mohammad Rasoul; Maigha, Maigha; Joo, Jin Chul; Crow, M.L.

doi:10.3390/en10050624

Cited by 36 publications

(10 citation statements)

References 41 publications

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“…The proposed energy management approach minimizes the electricity cost, equation (1), while satisfies problem's restrictions through multiple equality and inequality constraints. The system loads divide into deferable and nondeferable loads in which deferable loads can be shifted within their ADT limits [17], [18]. Four types of appliances with different ADT including dishwashers, clothes washers, clothes dryers, and heating and ventilation systems are considered as deferable loads.…”

Section: Problem Formulationmentioning

confidence: 99%

Demand Side Management for Homes in Smart Grids

Narimani

2019

2019 North American Power Symposium (NAPS)

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Electricity usage is a major portion of utility bills and the best place to start lowering them. An effective home energy management approach is introduced to decrease customers' electricity bills by determining the optimal appliance scheduling under hourly pricing based demand response (DR) strategies. The proposed approach specifically addresses consumer comfort through acceptable appliance deferral times, within which their consumption can be shifted from the normal schedules. Electric vehicles (EVs), with vehicle-to-grid (V2G) and vehicle-to-home (V2H) abilities, Energy storage systems (ESS), and Renewable Energy Resource as a distributed generation are considered at the end-user premises to improve the energy management efficiency. A mixed-integer linear programming (MILP) framework is implemented to solve the proposed problem. Numerical results show that the proposed approach can reduce customers' electricity bill without sacrificing their comfort and fully exploit EVs and ESS capacities.Index Terms--demand side management, renewable energy sources, electric vehicles, flexible loads, smart grid.

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Section: Problem Formulationmentioning

confidence: 99%

Demand Side Management for Homes in Smart Grids

Narimani

2019

2019 North American Power Symposium (NAPS)

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“…Demand-side management (DSM) is the best approach for supply-demand matching by which customer demand can be shaped to improve utilization factors and load balance [22]. In addition, DSM programs may defer capital investment in generation, transmission and distribution networks and storage, and improve system load [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping

2022

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Due to failures or even the absence of an electricity grid, microgrid systems are becoming popular solutions for electrifying African rural communities. However, they are heavily stressed and complex to control due to their intermittency and demand growth. Demand side management (DSM) serves as an option to increase the level of flexibility on the demand side by scheduling users’ consumption patterns profiles in response to supply. This paper proposes a demand-side management strategy based on load shifting and peak clipping. The proposed approach was modelled in a MATLAB/Simulink R2021a environment and was optimized using the artificial neural network (ANN) algorithm. Simulations were carried out to test the model’s efficacy in a stand-alone PV-battery microgrid in East Africa. The proposed algorithm reduces the peak demand, smoothing the load profile to the desired level, and improves the system’s peak to average ratio (PAR). The presence of deferrable loads has been considered to bring more flexible demand-side management. Results promise decreases in peak demand and peak to average ratio of about 31.2% and 7.5% through peak clipping. In addition, load shifting promises more flexibility to customers.

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“…The possibility of changing the electricity demand profile through Demand Side Management (DSM) programs was also considered. A multi-objective optimization method for solving dynamic economic dispatch with the DSM of individual residential loads and electric vehicles was proposed in [8]. The result of the six-generator test system showed that shifting deferrable loads can significantly flatten the load profile and reduce peaks.…”

Section: Introductionmentioning

confidence: 99%

A Generalized Unit Commitment and Economic Dispatch Approach for Analysing the Polish Power System under High Renewable Penetration

et al. 2020

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The achievement of carbon neutrality requires a deep transformation of the Polish power sector. This paper analyses the impact of increased electricity generation from wind and solar technologies envisaged in the newest version of the Energy Policy of Poland until 2040 on the operation of dispatchable generators in 2030. The analysis was carried out using the Model of Economic Dispatch and Unit commitment for System Analysis (MEDUSA) model, which solves a mixed integer problem related to unit commitment and economic dispatch in electrical power production. At first, the model was validated based on the real operation data from 2018. Next, five scenarios were built to analyse the operation of the system in 2030. The overall result of the study is that the safest solution from the point of view of power system stability is to extend the decommissioning of coal units of 200 and 300 MW classes, to invest in renewable energy sources (RES) according to the energy policy, to build new gas power plants with the total capacity of ca. 4 GW, and to enforce Demand Side Management (DSM) programs for shifting the electrical load. The proposed framework for the optimization of power system planning helps to avoid wrong investment decisions that would have a negative impact on energy prices.

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Multi-Objective Dynamic Economic Dispatch with Demand Side Management of Residential Loads and Electric Vehicles

Cited by 36 publications

References 41 publications

Demand Side Management for Homes in Smart Grids

Demand Side Management for Homes in Smart Grids

Neural Network-Based Demand-Side Management in a Stand-Alone Solar PV-Battery Microgrid Using Load-Shifting and Peak-Clipping

A Generalized Unit Commitment and Economic Dispatch Approach for Analysing the Polish Power System under High Renewable Penetration

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