Techno-economic assessment of community energy solutions to network capacity issues

Good, Nicholas; Mancarella, Pierluigi; Lintern, Kerry

doi:10.1109/ptc.2017.7980906

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…Linear Programming [13,27,28,34] Mixed-integer linear programming (MILP) [9][10][11][12]14,16,[18][19][20][21][22][23][24][25]29,32,33,[35][36][37][38] Nonlinear programming (NLP) [15] 4.2.1. Linear Programming (LP)…”

Section: Optimization Technique Referencementioning

confidence: 99%

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Optimal Scheduling of Controllable Resources in Energy Communities: An Overview of the Optimization Approaches

2022

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In recent years, there has been a growing interest in the study of energy communities. This new definition refers to a community sharing energy resources of different types to meet its needs and reduce the associated costs. Optimization is one of the most widely used techniques for scheduling the operation of an energy community. In this study, we extensively reviewed the mathematical models used depending on the objectives and constraints considered. The models were also classified according to whether they address uncertainty and the inclusion of flexibility constraints. The main contribution of this study is the analysis of the most recent research on the mathematical formulation of optimization models for optimal scheduling of resources in energy communities. The results show that the most commonly used objectives are profit maximization and cost minimization. Additionally, in almost all cases, photovoltaic generation is one of the main energy sources. Electricity prices, renewable generation, and energy demand are sources of uncertainty that have been modeled using stochastic and robust optimization. Flexibility services using demand response are often modeled using interruptible loads and shiftable loads. There is still considerable room for further research on the distribution of benefits among the participants of the energy community and the provision of flexibility services to the electricity grid.

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Section: Optimization Technique Referencementioning

confidence: 99%

“…Ref. [29] assessed the optimization of a multi-nergy district/community with different resources. The objective function was to minimize the operating cost, capacity price, energy import cost, and energy sales revenue, obtaining at the same time a PV generation incentive.…”

Section: Mixed-integer Linear Programming (Milp)mentioning

confidence: 99%

Optimal Scheduling of Controllable Resources in Energy Communities: An Overview of the Optimization Approaches

2022

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Batteries and beyond: Multi-vector energy storage as a tool to decarbonise energy services

et al. 2023

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With the 2015 Paris Agreement pursuing efforts to limit global temperature increase to below 2°C above pre-industrial levels and the “energy trilemma” goals of energy security, energy equity and environmental sustainability, decarbonisation remains a priority across all of the United Kingdom (United Kingdom) energy system, not just electricity. Electricity and thermal energy storage technologies can offer a host of benefits across the energy value chain through the abilityS to capture, store and then release electricity or thermal energy over a period of time. These benefits include helping capture the full potential of renewable generation and providing services such as frequency response and reserve to Great Britain’s (GB) electricity system. In addition, with the aforementioned climate targets in mind, energy storage can also play a role in facilitating the decarbonisation of other activities and sectors. Here we delve deeper into how energy storage technologies can contribute to both energy sector transformation and more broadly, decarbonisation. Furthermore, we discuss the importance of ensuring a technology-agnostic approach to the development of policy and regulation with relevance to energy storage. This ensures that storage technologies with significant potential to contribute to the ‘energy trilemma’ goals are not precluded from entering the market due to unfavourable policy and regulatory frameworks.

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Techno-economic assessment of community energy solutions to network capacity issues

Cited by 2 publications

References 16 publications

Optimal Scheduling of Controllable Resources in Energy Communities: An Overview of the Optimization Approaches

Optimal Scheduling of Controllable Resources in Energy Communities: An Overview of the Optimization Approaches

Batteries and beyond: Multi-vector energy storage as a tool to decarbonise energy services

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