scholarly journals Clustering and Fuzzy Logic-Based Demand-Side Management for Solar Microgrid Operation: Case Study of Ngurudoto Microgrid, Arusha, Tanzania

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Godiana Hagile Philipo ◽  
Yusufu Abeid Chande Jande ◽  
Thomas Kivevele
Keyword(s):  
Fuzzy Logic ◽  
Management Strategy ◽  
Clustering Algorithm ◽  
Supply And Demand ◽  
Power Saving ◽  
Demand Side Management ◽  
Energy Utilization ◽  
Demand Side ◽  
Energy Management Strategy

Permanent electricity availability should not be taken for granted since grid sustainability and reliability are at stake when there is no balance between supply and demand. This paper employs a load balancing demand-side management (DSM) approach based on fuzzy logic, considering the low energy users who have insignificant influence on system peaks. Through the K-means clustering algorithm, suitable candidates for DSM are identified, and the control mechanism is based on energy utilization and load priority. The results reveal that about 3.7 kW in power saving was achieved per month. This result indicates that, with a proper energy management strategy for an individual customer, almost a flatter load profile and power saving can be achieved.

Battery Management Based on Predictive Control and Demand-Side Management

2016 ◽  
pp. 149-180
Author(s):  
Deepranjan Dongol ◽  
Elmar Bollin ◽  
Thomas Feldmann
Keyword(s):  
Energy Management ◽  
Predictive Control ◽  
Management Strategy ◽  
Demand Side Management ◽  
Battery Management ◽  
Demand Side ◽  
Energy Management Strategy ◽  
Battery System ◽  
Surplus Energy ◽  
Load Demand

The chapter is intended to introduce the predictive control based energy management strategy for the grid connected renewable systems in order to achieve an effective demand side management strategy. Grid connected Photovoltaic battery system as being popular and extensively used has been discussed in this chapter .Conventionally, battery storage has been used to store surplus energy produced and meet the load demand with this stored energy. However, such systems do not respond to the grid conditions and violate grid constraints of permissible grid voltage and frequency limits. The operation of the battery depends on the forecast of photovoltaic output and the load demand and as such a predictive control based energy management strategy is needed. A simple optimization problem for such scenarios has also been formulated in great detail to provide readers with an idea for solving such problems. The results of simulations are also discussed.

scholarly journals Design of a Methodology to Evaluate the Impact of Demand-Side Management in the Planning of Isolated/Islanded Microgrids

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3459
Author(s):  
Juan Carlos Oviedo Cepeda ◽  
German Osma-Pinto ◽  
Robin Roche ◽  
Cesar Duarte ◽  
Javier Solano ◽  
...  
Keyword(s):  
Dynamic Pricing ◽  
Demand Side Management ◽  
The Other ◽  
Energy Utilization ◽  
Demand Side ◽  
Optimal Dispatch ◽  
Cost Of Energy ◽  
The Impact ◽  
Planning And Operation

The integration of Demand-Side Management (DSM) in the planning of Isolated/Islanded Microgrids (IMGs) can potentially reduce total costs and customer payments or increase renewable energy utilization. Despite these benefits, there is a paucity in literature exploring how DSM affects the planning and operation of IMGs. The present work compares the effects of five different strategies of DSM in the planning of IMGs to fulfill the gaps found in the literature. The present work embodies a Disciplined Convex Stochastic Programming formulation that integrates the planning and operation of IMGs using three optimization levels. The first level finds the capacities of the energy sources of the IMG. The second and third levels use a rolling horizon for setting the day-ahead prices or the stimulus of the DSM and the day-ahead optimal dispatch strategy of the IMG, respectively. A case study shows that the Day-Ahead Dynamic Pricing DSM and the Incentive-Based Pricing DSM reduce the total costs and the Levelized Cost of Energy of the project more than the other DSMs. In contrast, the Time of Use DSM reduces the payments of the customers and increases the delivered energy more than the other DSMs.

Integrating supply and demand-side management in renewable-based energy systems

Energy ◽  
2021 ◽  
pp. 120978
Author(s):  
Géremi Gilson Dranka ◽  
Paula Ferreira ◽  
A. Ismael F. Vaz
Keyword(s):  
Supply And Demand ◽  
Energy Systems ◽  
Demand Side Management ◽  
Demand Side
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