Dual-Layer Optimal Dispatching Strategy for Microgrid Energy Management Systems considering Demand Response

Pan, Tinglong; Liu, Hui; Wu, Dinghui; Hao, Zeliang

doi:10.1155/2018/2695025

Cited by 12 publications

(4 citation statements)

References 24 publications

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“…The EMS unit manages the energy flow from the sources through information such as load demand forecasting while ensuring the load demand of the community microgrid and reducing operational costs [25]. Fig.…”

Section: Energy Managementmentioning

confidence: 99%

Application of System-Based Solar Photovoltaic Microgrid for Residential Real Estate

Gedefaye

Lakeou

Tadiwose

et al. 2023

JERA

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This research explores the techno-economic potential for a predominantly renewable electricity-based microgrid serving Ethiopian residential real estate buildings, the fastest-growing sector. A stand-alone photovoltaic (PV)-Battery energy storage system (BESS)-Genset (PV-BESS-Genset) connected microgrid model, utilizing measured solar irradiation data, real-time manufacturer data for technology components, case study area daily energy consumption data, and a bottom-up approach to model demand response. The modeled system results in a $ 0.298 cost of energy (COE), reduces the 2000.34 kg/yr amount of CO2 released into the environment, and yields 1,470 kWh/yr of excess energy, which indicates that the system is the most cost-effective, ecologically friendly, and reliable, respectively. Moreover, solar PV production potential is very high onsite and can meet the onsite demand with a renewable fraction of 99.3%. However, BESS and generator production potential is substantial and provides a more balanced supply that can supply electricity when solar PV production is insufficient. These results can help to develop rules for residential real estate villages to generate their own electricity needs, distribute residential real estate's current grid energy share to other underserved areas, and lessen the issue of power outages. In an original test case, HOMER software was used to build a microgrid system based on renewable energy (RE), with the single objective of minimizing the net present cost (NPC), and MATLAB/Simulink for energy management. Thus, the system could be a benchmark for new roof-mounted solar-based technology for residential real estate buildings in Ethiopia.

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Section: Energy Managementmentioning

confidence: 99%

Application of System-Based Solar Photovoltaic Microgrid for Residential Real Estate

Gedefaye

Lakeou

Tadiwose

et al. 2023

JERA

View full text Add to dashboard Cite

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“…As mentioned, This time, focus has been prioritized in determining the energy source type, energy management system (EMS) approach, control strategies adopted and the involvement of demand response in the MG system. From the study, it has been found that there are eleven papers [61][62][63][64][65][66][67][68][69][70][71] have strong connections to the searched key points. As the results, summarization on this work is demonstrated in Table 4.…”

Section: Research On Mg's Energy Management and Controlmentioning

confidence: 99%

A Quick Review to Understand Micro Grid System: System Architectures, Modes and Challenges

Abdullah¹

2020

IJETER

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This paper highlighting the main issues in the new era of distributed generation closed to the distribution network or popularly known as Micro Grid (MG) system, in the electrical power system network. A MG is particularly a section of the large power distribution system that comprises distributed or co-generation, energy storage system and loads. In this paper, review on the system architecture, operational modes and also the control challenges on the demand response in MG system is demonstrated. The gathered information is compressed and then written in brief to be used as a quick guide for the new researchers or newcomers in this field. All important elements in the MG will be explained in brief as well as comparing the worthy outcomes and the potential fields of research in particular in terms of energy flow control that would enhance practical use of MG system and its elements.

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“…The operational cost and pollutants emission from the microgrid are minimized considering the incentive responsive loads and solved by the mixed integer linear programming technique using CPLEX solver of the GAMS software. In Pan et al, 18 an optimization based on financial cost and load satisfactory is considered with the assumption of the demand response existence in the microgrid. Two demand response programs based on TOU and RTP are integrated into the optimal scheduling model and the developed model is solved using a meta-heuristic algorithm under uncertainties of DGs and loads in Nikmehr et al 19 Hong's 2m point estimate method is used in Gazijahani and Salehi 20 with considering incentive-based DR and reconfiguration scheduling to minimize the operation cost of the microgrid.…”

Section: Introductionmentioning

confidence: 99%

Cost reduction in microgrid using demand response program of loads and uncertainty modeling with point estimation method

Rajamand

2019

Int Trans Electr Energ Syst

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Summary Uncertainty in microgrid causes degradation in load supporting and stability of the system. The origin of uncertainty may be from renewable distributed generators (DGs), market price, load demand, and other issues. To compensate for this problem, energy storage system (ESS) and demand response (DR) program are applied in microgrid energy management process. ESS is used as a reserve energy and DR is defined as cooperation of users on demand side of microgrid. DR is done in two forms: one is based on load reduction of users due to the price tariffs called price‐based DR and the second is DR based on incentive payment to customers for load reduction especially in peak times named as incentive‐based DR. In this article, price‐based DR and three types of load as industrial, commercial and house load are considered with three DR features to cooperate in energy management. Moreover, the uncertainty of renewable DGs, market price and load demand are modeled and estimated by point estimation method (PEM). Simulation results are performed in three scenarios including initial battery charge and the possibility of being off‐state of some DGs in stochastic medium with and without DR program and the results are compared in these scenarios. The effect of DR on microgrid cost is investigated using these scenarios where the influence of DR on the total cost reduction is observable in the studied microgrid.

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Dual-Layer Optimal Dispatching Strategy for Microgrid Energy Management Systems considering Demand Response

Cited by 12 publications

References 24 publications

Application of System-Based Solar Photovoltaic Microgrid for Residential Real Estate

Application of System-Based Solar Photovoltaic Microgrid for Residential Real Estate

A Quick Review to Understand Micro Grid System: System Architectures, Modes and Challenges

Cost reduction in microgrid using demand response program of loads and uncertainty modeling with point estimation method

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