Integration of deterministic and game-based energy consumption scheduling for demand side management in isolated microgrids

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Eiman A. ElGhanam ◽  
Ahmed H. Osman ◽  
Mohamed S. Hassan ◽  
Tasneem Assaf ◽  
Hasan Mir
Keyword(s):  
Energy Consumption ◽  
Computational Complexity ◽  
Distributed Storage ◽  
Renewable Energy Sources ◽  
Average Energy ◽  
Energy Generation ◽  
Demand Side Management ◽  
Demand Side ◽  
Multiple Sources ◽  
Generation Costs

Abstract In this work, a group Autonomous Demand-Side Management (ADSM) program for day-ahead scheduling of energy consumption profiles in an isolated microgrid is proposed, aiming to reduce the overall energy generation cost. The proposed program is applied to a Multiple-Sources Multiple-Customers (MSMC) system, consisting of a shared centralized energy source, distributed Renewable Energy Sources (RESs) and Distributed Storage Elements (DSEs). The proposed program integrates a Deterministic Energy Management (DEM) strategy with a Tabu Search (TS)-based scheduling game to reduce the computational complexity while acknowledging the intermittent nature of RESs as well as the level of customers’ comfort. Moreover, an equitable billing mechanism for charging customers based on their energy consumption and adherence to their assigned schedules is implemented. Simulations of the proposed program reveal that the TS-based algorithm offers similar energy generation costs and peak-to-average energy ratio (PAER) to those obtained with a benchmark Branch and Bound (BB) algorithm, with a significantly lower computational complexity, while being superior in computational complexity, energy costs and PAER to an algorithm based on Parallel Monte Carlo Tree Search (P-MCTS). Furthermore, the proposed integrated DEM and TS-based scheduling strategy in an MSMC system is demonstrated to offer 48% reduction in the one-day energy generation costs, compared to a SSMC system managed using a TS-based scheduling game alone.

Production Process Modeling for Demand Side Management

2017 ◽  
Vol 871 ◽  
pp. 77-86
Author(s):  
Stefanie Kabelitz ◽  
Sergii Kolomiichuk
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Supply And Demand ◽  
Demand Side Management ◽  
Mixed Integer ◽  
Mixed Integer Program ◽  
Business Practices ◽  
Demand Side ◽  
Manufacturing Companies ◽  
Consumption Data

The supply of electricity is growing increasingly dependent on the weather as the share of renewable energies increases. Different measures can nevertheless maintain grid reliability and quality. These include the use of storage technologies, upgrades of the grid and options for responsiveness to supply and demand. This paper focuses on demand side management and the use of flexibility in production processes. First, the framework of Germany’s energy policy is presented and direct and indirect incentives for businesses to seek as well as to provide flexibility capabilities are highlighted. Converting this framework into a mixed integer program leads to multi-objective optimization. The challenge inherent to this method is realistically mapping the different objectives that affect business practices directly and indirectly in a variety of laws. An example is introduced to demonstrate the complexity of the model and examine the energy flexibility. Second, manufacturing companies’ energy efficiency is assessed under the frequently occurring conditions of heavily aggregated energy consumption data and of information with insufficient depth of detail to perform certain analyses, formulate actions or optimize processes. The findings obtained from the energy assessment and energy consumption projections are used to model the production system’s energy efficiency and thus facilitate optimization. Methods of data mining and machine learning are employed to project energy consumption. Aggregated energy consumption data and different production and environmental parameters are used to assess indirectly measured consumers and link projections of energy consumption with the production schedule.

scholarly journals Perspectives and Intensification of Energy Efficiency in Commercial and Residential Buildings Using Strategic Auditing and Demand-Side Management

Energies ◽  
2019 ◽  
Vol 12 (23) ◽  
pp. 4539 ◽  
Author(s):  
Kumar ◽  
Brar ◽  
Singh ◽  
Nikolovski ◽  
Baghaee ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Management ◽  
Residential Buildings ◽  
Effective Means ◽  
Demand Side Management ◽  
Demand Side ◽  
Specific System ◽  
Energy Data ◽  
Energy Auditing

With the ever-growing power demand, the energy efficiency in commercial and residential buildings is a matter of great concern. Also, strategic energy auditing (SEA) and demand-side management (DSM) are cost-effective means to identify the requirements of power components and their operation in the energy management system. In a commercial or residential building, the major components are light sources and heating, ventilation, and air conditioning. The number of these components to be installed depends upon the technical and environmental standards. In this scenario, energy auditing (EA) allows identifying the methods, scope, and time for energy management, and it helps the costumers to manage their energy consumption wisely to reduce electricity bills. In the literature, most of the traditional strategies employed specific system techniques and algorithms, whereas, in recent years, load shifting-based DSM techniques were used under different operating scenarios. Considering these facts, the energy data in a year were collected under three different seasonal changes, i.e., severe cold, moderate, and severe heat for the variation in load demand under different environmental conditions. In this work, the energy data under three conditions were averaged, and the DSM schemes were developed for the operation of power components before energy auditing and after energy auditing. Moreover, the performance of the proposed DSM techniques was compared with the practical results in both scenarios, and, from the results, it was observed that the energy consumption reduced significantly in the proposed DSM approach.

Demand-Side Management via Distributed Energy Generation and Storage Optimization

2013 ◽  
Vol 4 (2) ◽  
pp. 866-876 ◽  
Author(s):  
Italo Atzeni ◽  
Luis G. Ordonez ◽  
Gesualdo Scutari ◽  
Daniel P. Palomar ◽  
Javier Rodriguez Fonollosa
Keyword(s):  
Energy Generation ◽  
Demand Side Management ◽  
Demand Side ◽  
Distributed Energy ◽  
Storage Optimization ◽  
Distributed Energy Generation ◽  
And Storage

An Energy Ontology Focusing on Demand Side Management in Smart Homes

2016 ◽  
Vol 19 ◽  
pp. 124-131
Author(s):  
Beate Naser ◽  
Franziska Schäfer ◽  
Jörg Franke
Keyword(s):  
Energy Production ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Electric Energy ◽  
Smart Homes ◽  
Demand Side Management ◽  
Demand Side ◽  
Conceptual Foundation ◽  
Available Energy ◽  
Solar Power Plants

By increasing the share of renewable energy sources, the volatility of available energy is rising. More and more fluctuating power generation by solar power plants and wind turbines has to be integrated into the power grid. Demand side management (DSM) represents one possible solution to achieve this goal by including energy production and energy consumption simultaneously. In this paper, we especially focus on the field of electric energy in smart homes. Considering the implementation of different DSM devices, an ontology-based approach can serve as a conceptual foundation for a necessary knowledge base. We propose an advanced energy ontology for smart homes, integrating important aspects for a successful DSM. We describe how power producers, storages and consumers are represented in our ontology. Finally, we show the scenario-based utilization of our approach.

scholarly journals Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid

2010 ◽  
Vol 1 (3) ◽  
pp. 320-331 ◽  
Author(s):  
Amir-Hamed Mohsenian-Rad ◽  
Vincent W. S. Wong ◽  
Juri Jatskevich ◽  
Robert Schober ◽  
Alberto Leon-Garcia
Keyword(s):  
Energy Consumption ◽  
Smart Grid ◽  
Demand Side Management ◽  
Demand Side ◽  
The Future ◽  
Game Theoretic

scholarly journals Will Aggregator Reduce Renewable Power Surpluses? A System Dynamics Approach for the Latvia Case Study

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 7900
Author(s):  
Ieva Pakere ◽  
Armands Gravelsins ◽  
Girts Bohvalovs ◽  
Liga Rozentale ◽  
Dagnija Blumberga
Keyword(s):  
System Dynamics ◽  
Renewable Energy Sources ◽  
National Level ◽  
Electricity Consumption ◽  
Demand Side Management ◽  
Demand Side ◽  
Peak Shaving ◽  
Renewable Power ◽  
Surplus Power

Power demand-side management has been identified as one of the possible elements towards a more flexible power system in case of increased capacities of variable renewable energy sources—solar and wind energy. The market coordinators or aggregators are introduced to adjust the electricity consumption by following the market situation. However, the role of aggregators is mainly analysed from the economic perspective, and the demand side management is performed to maximise the utilisation of low price power during off-peak hours. However, this research focuses on analysing the introduction of aggregators as a future player to increase the total share of renewable power and decrease the surplus solar and wind electricity occurrence. An in-depth system dynamics model has been developed to analyse the hourly power production and power consumption rates at the national level for the Latvia case study. The results show that introducing aggregators and load shifting based on standard peak shaving can increase the share of surplus power and does not benefit from increased utilisation of solar and wind power. On the contrary, demand-side management based on available RES power can decrease the surplus power by 5%.

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