Integrated scheduling of energy supply and demand in microgrids under uncertainty: A robust multi-objective optimization approach

Wang, Luhao; Li, Qiqiang; Ding, Ran; Sun, Mingshun; Wang, Guirong

doi:10.1016/j.energy.2017.04.115

Cited by 156 publications

(72 citation statements)

References 42 publications

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“…The authors of [42] suggested that, of the above-mentioned technical challenges, voltage regulation is the most significant technical challenge that prevents or limits the penetration level of the distributed generation in the distribution network, in which the following are the advanced methods or solutions to help mitigate this issue: There has been much research on how these advanced methods can increase the penetration levels of the PV systems in the distribution network [43][44][45][46][47][48][49][50][51][52][53][54][55]. In [43], a new supervisory tool based on the voltage control scheme for control and data acquisition to coordinate among the DGs, OLTC and capacitor banks is presented, which sets a new principle for selecting the tap positions of an OLTC.…”

Section: Technical Solutionsmentioning

confidence: 99%

“…The research presented in [49] addresses the scheduling of the distributed generation's available opportunities of consumption reduction and shifting aiming to optimally minimise the operation costs via using demand response programs and virtual power player that manages the distributed generation resources with consumption shifting constraints into account. In [50], a robust multi-objective optimisation based integrated scheduling approach is proposed and investigated to solve the micro-grid supply and demand scheduling problem under uncertainty. The approach uses a minimax multi-objective optimisation formulation to minimise the operating costs and emissions under the worst case realisation of that intermittent renewable and the uncertainty of the loads.…”

Section: Technical Solutionsmentioning

confidence: 99%

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The Technical Challenges Facing the Integration of Small-Scale and Large-scale PV Systems into the Grid: A Critical Review

Alshahrani

Omer

et al. 2019

Electronics

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Decarbonisation, energy security and expanding energy access are the main driving forces behind the worldwide increasing attention in renewable energy. This paper focuses on the solar photovoltaic (PV) technology because, currently, it has the most attention in the energy sector due to the sharp drop in the solar PV system cost, which was one of the main barriers of PV large-scale deployment. Firstly, this paper extensively reviews the technical challenges, potential technical solutions and the research carried out in integrating high shares of small-scale PV systems into the distribution network of the grid in order to give a clearer picture of the impact since most of the PV systems installations were at small scales and connected into the distribution network. The paper reviews the localised technical challenges, grid stability challenges and technical solutions on integrating large-scale PV systems into the transmission network of the grid. In addition, the current practices for managing the variability of large-scale PV systems by the grid operators are discussed. Finally, this paper concludes by summarising the critical technical aspects facing the integration of the PV system depending on their size into the grid, in which it provides a strong point of reference and a useful framework for the researchers planning to exploit this field further on.

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Section: Technical Solutionsmentioning

confidence: 99%

Section: Technical Solutionsmentioning

confidence: 99%

The Technical Challenges Facing the Integration of Small-Scale and Large-scale PV Systems into the Grid: A Critical Review

Alshahrani

Omer

et al. 2019

Electronics

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“…The main focus in the BESS is the battery life in different energy states during the lifecycle. In [9,10] the BESS characteristics which are the main factors that affect the life of battery, such as discharge depth, discharge rate and charge or discharge times, were analyzed. An accumulated damage model was proposed, where each discharge process could cause irreversible damage to the battery life until the battery is scrap.…”

mentioning

confidence: 99%

“…In [11,12] an optimization model of a hybrid energy system with RE and BESS, which aims at the optimal dispatch of regulated resources considering the non-negligible frequency offset and system economic benefits was addressed. In short, the output capacity of the BESS would change under different energy states, which is reflected by the ampere hours, and it is crucial to take the lifetime loss into calculation at the time of considering the operation cost of a BESS.The optimization objectives have a significant effect on the scheduling of the IES, so different aims would lead to the diverse dispatch of each component, so studies focusing on the optimization of the IES cover many aspects, but are mainly concentrated on the improvement of multi-target energy efficiency [13,14], economic dispatch [15] and robust optimization [9]. The applied optimization objectives of the IES operation are mostly about the economic benefit, environment benefit and system independence.…”

mentioning

confidence: 99%

“…The optimization objectives have a significant effect on the scheduling of the IES, so different aims would lead to the diverse dispatch of each component, so studies focusing on the optimization of the IES cover many aspects, but are mainly concentrated on the improvement of multi-target energy efficiency [13,14], economic dispatch [15] and robust optimization [9]. The applied optimization objectives of the IES operation are mostly about the economic benefit, environment benefit and system independence.…”

mentioning

confidence: 99%

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Optimal Scheduling of Integrated Energy Systems with Combined Heat and Power Generation, Photovoltaic and Energy Storage Considering Battery Lifetime Loss

et al. 2018

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Integrated energy systems (IESs) are considered a trending solution for the energy crisis and environmental problems. However, the diversity of energy sources and the complexity of the IES have brought challenges to the economic operation of IESs. Aiming at achieving optimal scheduling of components, an IES operation optimization model including photovoltaic, combined heat and power generation system (CHP) and battery energy storage is developed in this paper. The goal of the optimization model is to minimize the operation cost under the system constraints. For the optimization process, an optimization principle is conducted, which achieves maximized utilization of photovoltaic by adjusting the controllable units such as energy storage and gas turbine, as well as taking into account the battery lifetime loss. In addition, an integrated energy system project is taken as a research case to validate the effectiveness of the model via the improved differential evolution algorithm (IDEA). The comparison between IDEA and a traditional differential evolution algorithm shows that IDEA could find the optimal solution faster, owing to the double variation differential strategy. The simulation results in three different battery states which show that the battery lifetime loss is an inevitable factor in the optimization model, and the optimized operation cost in 2016 drastically decreased compared with actual operation data.Energies 2018, 11, 1676 2 of 21 gas, and on the energy demand side, it supplies kinds of energy to users, such as heating and electricity. However, as a complex hybrid energy system, a couple of meaningful topic need to be considered integrally, firstly the inherent fluctuation of renewable energy (RE) sources has a severe influence on the overall operation of the IES, both technically and economically, as the inherent volatility and intermittency of RE leads to difficulties in the economic scheduling of IES while providing multiple load supply. The arguments are mainly about the fact that the renewable energy generation cannot be dispatched flexibly while maintaining a certain reliability. Thus it cannot be avoided that a large amount of spare capacity must be provided to ensure the system reliability, and booming techniques such as energy storage systems (ESSs) and gas turbines are widely utilized due to their characteristics of stable output as well as speedy response [6]. However, it is inevitable that the cost would increase with the addition of components in systems, which obviously impacts the overall economy of the IES. The integrated energy system generally consists of electric, thermal and other energy subsystems. Due to the distinct characteristics and utilization scale, the difficulty of research comparing different subsystems it greatly enhanced. Gas turbines (GTs) as a rising energy hub, can convert energy from different subsystems, and are considered to be a reliable integrated energy unit, since according to the different forms of energy demand, GTs could form a combined cooling, heating a...

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Retracted: Optimal energy dispatch in microgrids with renewable energy sources and demand response

Murty

Kumar

2020

Int Trans Electr Energ Syst

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Summary Integration of renewable energy sources provides energy security, substantial cost savings, and reduction in greenhouse gas emissions, enabling nation to meet emission targets. Microgrid energy management (MGEM) is a challenging task for microgrid operator (MGO) for optimal energy utilization with penetration of renewable energy sources, energy storage devices, and demand response. In this paper, optimal energy dispatch strategy is established for grid‐connected and stand‐alone microgrids integrated with photovoltaic, wind turbine, fuel cell, microturbine, diesel generator, and battery storage system. Techno‐economic benefits are demonstrated for the hybrid power system considering uncertainty of load and generation. So far, MGEM problem has been addressed with the aim of minimizing operating cost only. However, the issues of power losses and emission‐related objectives need to be addressed for effective MGEM. In this paper, MGEM is formulated as mixed‐integer linear programming, and a new multi‐objective solution is proposed for MGEM. Demand response is also included in the optimization problem to demonstrate its impact on optimal energy dispatch and techno‐commercial benefits. Simulation results are obtained for the optimal capacity of each component, charging/discharging scheduling, state of charge, power import from main grid, net present cost, cost of energy, initial cost, operational cost, fuel cost, and cost of emissions taking care of seasonal load variation throughout the year. The results show that CO2 emission in stand‐alone microgrid is reduced by 41.74% compared with traditional system with diesel generator. Simulation results obtained with the proposed method has been compared with various evolutionary algorithms to verify its effectiveness.

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Integrated scheduling of energy supply and demand in microgrids under uncertainty: A robust multi-objective optimization approach

Cited by 156 publications

References 42 publications

The Technical Challenges Facing the Integration of Small-Scale and Large-scale PV Systems into the Grid: A Critical Review

The Technical Challenges Facing the Integration of Small-Scale and Large-scale PV Systems into the Grid: A Critical Review

Optimal Scheduling of Integrated Energy Systems with Combined Heat and Power Generation, Photovoltaic and Energy Storage Considering Battery Lifetime Loss

Retracted: Optimal energy dispatch in microgrids with renewable energy sources and demand response

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