Effect of demand response program of loads in cost optimization of microgrid considering uncertain parameters in PV/WT, market price and load demand

Rajamand, Sahbasadat

doi:10.1016/j.energy.2020.116917

Cited by 37 publications

(13 citation statements)

References 22 publications

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“…It can be used as a tool to accomplish different load shaping objectives, such as valley filling, peak clip-ping, load shifting, strategic conservation, strategic load growth and flexible load shape [3]. A study showed that lower energy is required to purchase from the grid due to the electrical demand response program [4]. An overview of multiple electrical demand response programs and their theoretical background was provided by [5] and [6] studied their presence in few countries.…”

Section: A Case For Demand Responsementioning

confidence: 99%

Demand Respond Program and Dynamic Thermal Rating System for Enhanced Power Systems

Khoo¹

2021

IJEPS

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This paper reviews the development of demand response (DR) and dynamic thermal rating (DTR) system for enhancing the operation and reliability of power system. The advantages and prospect of the DR program are discussed. The case for DTR system is established by comparing it against the traditional static thermal rating (STR) system. Various line monitoring methods and devices required for the implementation of the DTR system are presented. The challenges for deploying the DTR system from the perspective of selecting appropriate transmission lines for DTR deployment, identifying critical spans for deploying DTR sensors, managing the reliability of the DTR system, and the integration of the DTR system with existing and future power systems are discussed. Finally, the two main standards governing the operation of the DTR system, namely the IEEE 738 standard and the CIGRE standard are compared to elucidate the employability of the DTR system.

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Section: A Case For Demand Responsementioning

confidence: 99%

Demand Respond Program and Dynamic Thermal Rating System for Enhanced Power Systems

Khoo¹

2021

IJEPS

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“…Energy hub is a growing research domain, and many researchers have focused on optimizing various components of the energy hub. Energy hub optimization provides benefits like minimizing energy consumption and enhancing of reliability of the system by offering an incentive for better energy management [12][13][14][15][16][17][18]. The energy hub design optimization process would include the stages of optimal sizing of assets of the energy hub along with their interconnection.…”

Section: Introductionmentioning

confidence: 99%

Energy Hub Planning and Operation Optimization by Applying Demand Side Management Using GAMS

Sehar

Ahmad

2023

PakJET

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Energy hub planning and optimization considering various constraints is an emerging domain of research due to the scarcity of conventional energy resources. Strategic integration of multi-energy sources is a dominant region of research as it provides better efficiency and cost savings. Various uncertainties due to the changing electric, heating, and cooling load demand are increasing the complexity of the system. The paper investigates the effectiveness of Demand Side Management (DSM) programs by analyzing the operation of domestic Energy Hub. The paper proposes two stages for optimal energy hub planning and operation optimization and GAMS mathematical modeling is used to deduce the results. The paper provides the analysis of a two-stage optimization model using the approach of modeling uncertainties and constraints. The process of energy hub designing has been carried out by the help of PSO algorithm by considering continuous capacities of various components of energy hub. The research regarding optimal energy hub operation is modelled in GAMS and the approach of mixed-integer non-linear programming (MINLP) has been used to evaluate the results. The framework provides the energy hub model and also provided the verification of model effectiveness and efficiency.

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“…Fuzzy theory has been included to model DR uncertainty. There are other investigations which study the impact of DR on the performance of microgrids [21][22][23] and multi-energy systems. 24 Solar power and ESSs provide great opportunities for the grid operators and final consumers, specifically in developing countries, to overcome power shortages and grid blackouts.…”

Section: Introductionmentioning

confidence: 99%

“…Fuzzy theory has been included to model DR uncertainty. There are other investigations which study the impact of DR on the performance of microgrids 21–23 and multi‐energy systems 24 …”

Section: Introductionmentioning

confidence: 99%

Demand response‐based operation of a hybrid renewable energy system with energy storage by multi‐objective optimization and multi‐criteria decision making

Bakhshaei

Askarzadeh

Arababadi

2022

Env Prog and Sustain Energy

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Hybridization of photovoltaic (PV) and pumped hydro storage (PHS) can be a promising renewable energy-based system. In such system, optimal operation with respect to reliability is a vital and challenging issue. This paper proposes a multi-objective framework for optimal operation of an on-grid PV-PHS hybrid energy system (HES).For this aim, as the first stage, a multi-objective model is defined in which operation cost (OC) and loss of power supply probability (LPSP) are considered as objective functions and power purchased from the grid and incentive value (used for demand response) are regarded as decision variables. Multi-objective crow search algorithm (MOCSA) is developed to find a well-distributed and widely spread Pareto front. At the second stage, a multi-criteria decision making (MCDM) method is proposed to evaluate and rank non-dominated solutions from the best to worst. To conduct MCDM, technique for order performance by similarity to ideal solution (TOPSIS) integrated with analytic hierarchy process (AHP) method is utilized. On the case study, simulation results show that a high reliability system is suggested in which LPSP, OC

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Effect of demand response program of loads in cost optimization of microgrid considering uncertain parameters in PV/WT, market price and load demand

Cited by 37 publications

References 22 publications

Demand Respond Program and Dynamic Thermal Rating System for Enhanced Power Systems

Demand Respond Program and Dynamic Thermal Rating System for Enhanced Power Systems

Energy Hub Planning and Operation Optimization by Applying Demand Side Management Using GAMS

Demand response‐based operation of a hybrid renewable energy system with energy storage by multi‐objective optimization and multi‐criteria decision making

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