Simulation Tools and Optimization Algorithms for Efficient Energy Management in Neighborhoods

Cupelli, Lisette; Schumacher, Markus; Monti, Antonello; Mueller, Dirk; Tommasi, Luciano De; Kouramas, Konstantinos

doi:10.1016/b978-0-12-809951-3.00004-1

Cited by 10 publications

(13 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To date, little work has been conducted on the techno-economic analysis of PEDs, considering the annual positive energy balance. In [8], the authors optimise Energy Positive Neighbourhoods (EPN) that are very close to PEDs. They include electricity and heating demand and distinguish between a centralised, single ownership neighbourhood approach and a hierarchical two-level optimisation.…”

Section: Positive Energy District Analysis In Literaturementioning

confidence: 99%

A Critical Perspective on Positive Energy Districts in Climatically Favoured Regions: An Open-Source Modelling Approach Disclosing Implications and Possibilities

2021

View full text Add to dashboard Cite

Urban areas have been responsible for the majority of the European Union (EU)-wide primary energy demand and CO2 emissions. To address this issue, the European Union introduced the concept of Positive Energy Districts (PEDs). PEDs are required to have an annual positive primary energy balance. However, if directly addressed in the literature, this energy balance only includes annually fixed primary energy factors and often neglects grid impacts. To bridge this gap, this work proposes a mathematical optimisation approach for PEDs, working towards an open-source model. The model’s main novelty is an hourly primary energy balance constraint. The performed case study on the island La Palma for both an urban and a rural neighbourhood show that the PED concept has a higher net present value (NPV) than solely buying electricity from the grid in all feasible cases. Depending on the space available for PV installations, the NPV increases between 29 and 31% and 25–27% for the rural and urban PED scenarios, respectively. However, in the scenarios with reduced grid impact, the NPV decreases due to the expensive battery installations. Comparing the significantly fossil-based electricity grid mix of La Palma with the renewable-based one of El Hierro shows that the primary energy-based optimisation has more room for flexibility in the high renewable mix. While the dynamic primary energy balance constraint appears promising for operational optimisation, the allocation of correct primary energy factors is crucial.

show abstract

Section: Positive Energy District Analysis In Literaturementioning

confidence: 99%

A Critical Perspective on Positive Energy Districts in Climatically Favoured Regions: An Open-Source Modelling Approach Disclosing Implications and Possibilities

2021

View full text Add to dashboard Cite

show abstract

“…In order to verify the optimal values achieved by the proposed scheme, the centralized economic dispatch algorithm based on mathematical programming according to [36] is developed, which can be formulated as follows:…”

Section: Case 3: the Comparison Between The Proposed Scheme And The Mmentioning

confidence: 99%

Distributed Economic Dispatch Scheme for Droop-Based Autonomous DC Microgrid

Dou

et al. 2020

Energies

View full text Add to dashboard Cite

In this paper, a distributed economic dispatch scheme considering power limit is proposed to minimize the total active power generation cost in a droop-based autonomous direct current (DC) microgrid. The economical dispatch of the microgrid is realized through a fully distributed hierarchical control. In the tertiary level, an incremental cost consensus-based algorithm embedded into the economical regulator is utilized to search for the optimal solution. In the secondary level, the voltage regulator estimating the average voltage of the DC microgrid is used to generate the voltage correction item and eliminate the power and voltage oscillation caused by the deviation between different items. Then, the droop controller in the primary level receives the reference values from the upper level to ensure the output power converging to the optimum while recovering the average voltage of the system. Further, the dynamic model is established and the optimal communication network topology minimizing the impact of time delay on the voltage estimation is given in this paper. Finally, a low-voltage DC microgrid simulation platform containing different types of distributed generators is built, and the effectiveness of the proposed scheme and the performance of the optimal topology are verified.

show abstract

“…In addition, in [27], the authors proposed an improved MILP to increase the efficiency of the approach for its application to big scale grids, where the results in different scales show a dramatic improvement in comparison with other MILP proposed in the literature. It is also relevant to highlight the capability of these approaches to address the energy optimization in city environments [28]. A relevant work is found in [29], where the scheduling problem of building energy supply is addressed to minimize the overall cost of the energy consumption.…”

Section: Related Workmentioning

confidence: 99%

An Evolutionary Computational Approach for the Problem of Unit Commitment and Economic Dispatch in Microgrids under Several Operation Modes

et al. 2019

View full text Add to dashboard Cite

In the last decades, new types of generation technologies have emerged and have been gradually integrated into the existing power systems, moving their classical architectures to distributed systems. Despite the positive features associated to this paradigm, new problems arise such as coordination and uncertainty. In this framework, microgrids constitute an effective solution to deal with the coordination and operation of these distributed energy resources. This paper proposes a Genetic Algorithm (GA) to address the combined problem of Unit Commitment (UC) and Economic Dispatch (ED). With this end, a model of a microgrid is introduced together with all the control variables and physical constraints. To optimally operate the microgrid, three operation modes are introduced. The first two attend to optimize economical and environmental factors, while the last operation mode considers the errors induced by the uncertainties in the demand forecasting. Therefore, it achieves a robust design that guarantees the power supply for different confidence levels. Finally, the algorithm was applied to an example scenario to illustrate its performance. The achieved simulation results demonstrate the validity of the proposed approach.

show abstract

Simulation Tools and Optimization Algorithms for Efficient Energy Management in Neighborhoods

Cited by 10 publications

References 19 publications

A Critical Perspective on Positive Energy Districts in Climatically Favoured Regions: An Open-Source Modelling Approach Disclosing Implications and Possibilities

A Critical Perspective on Positive Energy Districts in Climatically Favoured Regions: An Open-Source Modelling Approach Disclosing Implications and Possibilities

Distributed Economic Dispatch Scheme for Droop-Based Autonomous DC Microgrid

An Evolutionary Computational Approach for the Problem of Unit Commitment and Economic Dispatch in Microgrids under Several Operation Modes

Contact Info

Product

Resources

About