Collaborative Autonomous Optimization of Interconnected Multi-Energy Systems with Two-Stage Transactive Control Framework

Cheng, Yizhi; Zhang, Peichao; Liu, Xuezhi

doi:10.3390/en13010171

Cited by 8 publications

(5 citation statements)

References 40 publications

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“…For example, the authors in [120] established a bi-level two-stage framework based on transactive control, in order to achieve optimal energy provision in an ISTMG. At the lower level, each MG autonomously determines the optimal set points of each controllable asset by solving a cost minimization problem.…”

Section: Energy Storage Systemsmentioning

confidence: 99%

Interconnected Smart Transactive Microgrids—A Survey on Trading, Energy Management Systems, and Optimisation Approaches

Machele,

Onumanyi,

Abu-Mahfouz

et al. 2024

JSAN

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The deployment of isolated microgrids has witnessed exponential growth globally, especially in the light of prevailing challenges faced by many larger power grids. However, these isolated microgrids remain separate entities, thus limiting their potential to significantly impact and improve the stability, efficiency, and reliability of the broader electrical power system. Thus, to address this gap, the concept of interconnected smart transactive microgrids (ISTMGs) has arisen, facilitating the interconnection of these isolated microgrids, each with its unique attributes aimed at enhancing the performance of the broader power grid system. Furthermore, ISTMGs are expected to create more robust and resilient energy networks that enable innovative and efficient mechanisms for energy trading and sharing between individual microgrids and the centralized power grid. This paradigm shift has sparked a surge in research aimed at developing effective ISTMG networks and mechanisms. Thus, in this paper, we present a review of the current state-of-the-art in ISTMGs with a focus on energy trading, energy management systems (EMS), and optimization techniques for effective energy management in ISTMGs. We discuss various types of trading, architectures, platforms, and stakeholders involved in ISTMGs. We proceed to elucidate the suitable applications of EMS within such ISTMG frameworks, emphasizing its utility in various domains. This includes an examination of optimization tools and methodologies for deploying EMS in ISTMGs. Subsequently, we conduct an analysis of current techniques and their constraints, and delineate prospects for future research to advance the establishment and utilization of ISTMGs.

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Section: Energy Storage Systemsmentioning

confidence: 99%

Interconnected Smart Transactive Microgrids—A Survey on Trading, Energy Management Systems, and Optimisation Approaches

Machele,

Onumanyi,

Abu-Mahfouz

et al. 2024

JSAN

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“…The energy production of PVs and loads was modelled as uncertain and the framework foresaw the inclusion of combined cooling, heat and power (CCHP) systems, PVs and demand-side management (DSM) resources, such as EVs/ESSs and thermostatically controlled loads (TCLs). The hydrogen energy vector was not part of the analysis, nor was it included in the research carried out by Cheng et al [24], who developed a bilevel two-stage framework based on transactive control to achieve the optimal operation of interconnected MESs. At a lower level, each MES defined the setpoints of the flexibility options based on the minimisation problem, while at the upper level, a coordinator was responsible for the minimisation of the total costs of the interconnected MESs whilst respecting the transformer's limitations.…”

Section: Literature Reviewmentioning

confidence: 99%

Planning and Operational Aspects of Individual and Clustered Multi-Energy Microgrid Options

2022

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With the restructuring of the power system, household-level end users are becoming more prominent participants by integrating renewable energy sources and smart devices and becoming flexible prosumers. The use of microgrids is a way of aggregating local end users into a single entity and catering for the consumption needs of shareholders. Various microgrid architectures are the result of the local energy community following different decarbonisation strategies and are frequently not optimised in terms of size, technology or other influential factors for energy systems. This paper discusses the operational and planning aspects of three different microgrid setups, looking at them as individual market participants within a local electricity market. This kind of implementation enables mutual trade between microgrids without additional charges, where they can provide flexibility and balance for one another. The developed models take into account multiple uncertainties arising from photovoltaic production, day-ahead electricity prices and electricity load. A total number of nine case studies and sensitivity analyses are presented, from daily operation to the annual planning perspective. The systematic study of different microgrid setups, operational principles/goals and cooperation mechanisms provides a clear understanding of operational and planning benefits: the electrification strategy of decarbonising microgrids outperforms gas and hydrogen technologies by a significant margin. The value of coupling different types of multi-energy microgrids, with the goal of joint market participation, was not proven to be better on a yearly level compared to the operation of same technology-type microgrids. Additional analyses focus on introducing distribution and transmission fees to an MG cooperation model and allow us to come to the conclusion of there being a minor impact on the overall operation.

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“…However, considering the current energy price mechanism, the pricing of thermal energy based on quantity has not been implemented; only electric load is considered to participate in the demand response. In consideration of the demand response, the optimized total electric energy consumption in the operation day should equal the original electric load demand, and the constraints of shiftable electric load should be satisfied in order to ensure the users' comfort [38,39].…”

Section: Operation Constraints Of Electricity Heat and Gas Energy Nmentioning

confidence: 99%

Day-Ahead and Intra-Day Collaborative Optimized Operation among Multiple Energy Stations

Zhai

et al. 2021

Energies

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An integrated energy system (IES) shows great potential in reducing the terminal energy supply cost and improving energy efficiency, but the operation scheduling of an IES, especially integrated with inter-connected multiple energy stations, is rather complex since it is affected by various factors. Toward a comprehensive operation scheduling of multiple energy stations, in this paper, a day-ahead and intra-day collaborative operation model is proposed. The targeted IES consists of electricity, gas, and thermal systems. First, the energy flow and equipment composition of the IES are analyzed, and a detailed operation model of combined equipment and networks is established. Then, with the objective of minimizing the total expected operation cost, a robust optimization of day-ahead and intra-day scheduling for energy stations is constructed subject to equipment operation constraints, network constraints, and so on. The day-ahead operation provides start-up and shut-down scheduling of units, and in the operating day, the intra-day rolling operation optimizes the power output of equipment and demand response with newly evolved forecasting information. The photovoltaic (PV) uncertainty and electric load demand response are also incorporated into the optimization model. Eventually, with the piecewise linearization method, the formulated optimization model is converted to a mixed-integer linear programming model, which can be solved using off-the-shelf solvers. A case study on an IES with five energy stations verifies the effectiveness of the proposed day-ahead and intra-day collaborative robust operation strategy.

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Collaborative Autonomous Optimization of Interconnected Multi-Energy Systems with Two-Stage Transactive Control Framework

Cited by 8 publications

References 40 publications

Interconnected Smart Transactive Microgrids—A Survey on Trading, Energy Management Systems, and Optimisation Approaches

Interconnected Smart Transactive Microgrids—A Survey on Trading, Energy Management Systems, and Optimisation Approaches

Planning and Operational Aspects of Individual and Clustered Multi-Energy Microgrid Options

Day-Ahead and Intra-Day Collaborative Optimized Operation among Multiple Energy Stations

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