Presenting a multi-objective generation scheduling model for pricing demand response rate in micro-grid energy management

Aghajani, Gholamreza; Shayanfar, Heidar Ali; Shayeghi, Hossein

doi:10.1016/j.enconman.2015.08.059

Cited by 147 publications

(61 citation statements)

References 19 publications

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“…In this paper, according to Pareto dominance relations, we use Particle Swarm Optimization algorithm to obtain the Pareto optimal solutions [33,34]. Then, we choose the optimal compromise solution from a set of Pareto optimal solutions.…”

Section: Solution Methodsmentioning

confidence: 99%

Optimal Dispatching of Active Distribution Networks Based on Load Equilibrium

Han

Zhou

et al. 2017

Energies

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This paper focuses on the optimal intraday scheduling of a distribution system that includes renewable energy (RE) generation, energy storage systems (ESSs), and thermostatically controlled loads (TCLs). This system also provides time-of-use pricing to customers. Unlike previous studies, this study attempts to examine how to optimize the allocation of electric energy and to improve the equilibrium of the load curve. Accordingly, we propose a concept of load equilibrium entropy to quantify the overall equilibrium of the load curve and reflect the allocation optimization of electric energy. Based on this entropy, we built a novel multi-objective optimal dispatching model to minimize the operational cost and maximize the load curve equilibrium. To aggregate TCLs into the optimization objective, we introduced the concept of a virtual power plant (VPP) and proposed a calculation method for VPP operating characteristics based on the equivalent thermal parameter model and the state-queue control method. The Particle Swarm Optimization algorithm was employed to solve the optimization problems. The simulation results illustrated that the proposed dispatching model can achieve cost reductions of system operations, peak load curtailment, and efficiency improvements, and also verified that the load equilibrium entropy can be used as a novel index of load characteristics.

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Section: Solution Methodsmentioning

confidence: 99%

Optimal Dispatching of Active Distribution Networks Based on Load Equilibrium

Han

Zhou

et al. 2017

Energies

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“…In fact, economic operations in microgrids considering DR have been investigated in [11][12][13] to solve energy and reserve scheduling problems. In [11], price-offer packages were proposed for different consumers to further encourage participants to contribute to DR programs.…”

Section: ) Application Rangesmentioning

confidence: 99%

“…In [11], price-offer packages were proposed for different consumers to further encourage participants to contribute to DR programs. In [12], interruptible load was considered in probabilistic coordination of DERs on microgrid operations based on the hourly interruption cost for a variety of customers.…”

Section: ) Application Rangesmentioning

confidence: 99%

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Integrated resources planning in microgrids considering interruptible loads and shiftable loads

Zhu

Zhou

Zhang

et al. 2018

J. Mod. Power Syst. Clean Energy

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Demand response has the potential to bring significant benefits to the optimal sizing of distributed generation (DG) resources for microgrids planning. This paper presents an integrated resources planning model considering the impact of interruptible loads (IL) and shiftable loads (SL) in microgrids, which simultaneously deals with supply side and demand side resources and minimizes the overall planning cost of the microgrid. The proposed model can be applied to offer a quantitative assessment how IL and SL can contribute to microgrid planning. The pure peak clipping model with IL and SL is also provided for comparisons. Moreover, sensitivity analysis of parameters in the model is performed. Numerical results confirm that the proposed model is an effective method for reducing the planning cost of microgrids. It was also found that the major contributing factors of IL and SL have great impact on the economic benefits of the proposed model in low-carbon economy environments.

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“…Bahramara, et al [19] presented bi-level optimization approach for achieving the objectives of Disco and MGs. Multi-objective function represents the operating cost and emission extracted from the distributed generators (DGs) installed in MG has been optimized via heuristic algorithm [20,21,23]. In Ref.…”

Section: Introductionmentioning

confidence: 99%

Single and multi-objective operation management of micro-grid using krill herd optimization and ant lion optimizer algorithms

Fathy

Abdelaziz

2018

Int J Energy Environ Eng

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In this paper, two recent heuristic optimization algorithms are presented to optimally manage the operation of the microgrid (MG) with installed renewable energy sources (RESs); krill herd (KH) optimization and ant lion optimizer (ALO) algorithms. The first algorithm is used for solving single-objective function represents either total operation cost or total pollutant emission injected from the installed generating units while ALO is applied to solve the multi-objective function of both total operating cost and emission. The problem is formulated as nonlinear constrained objective function with equality and inequality constraints. In this work; the devices installed in MGs are photovoltaic panel (PV), wind turbine (WT), microturbine (MT), fuel cell (FC), battery and grid. Two scenarios are studied; the first one is optimizing MG with installing all RESs within specified limits in addition to grid, while the second scenario is operating both PV and WT at their rated powers. The obtained results are compared with different reported algorithms like genetic algorithm (GA), Fuzzy self-adaptive PSO (FSAPSO) and others programmed like particle swarm optimization (PSO), grey-wolf optimizer (GWO) and whale optimization algorithm (WOA). For first scenario; the proposed KH gives the best optimal cost of 105.94 €ct while the best emission is 420.57 kg, the best optimal cost and emission of 592.86 €ct 339.71 kg are obtained via KH in the second scenario.

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Presenting a multi-objective generation scheduling model for pricing demand response rate in micro-grid energy management

Cited by 147 publications

References 19 publications

Optimal Dispatching of Active Distribution Networks Based on Load Equilibrium

Optimal Dispatching of Active Distribution Networks Based on Load Equilibrium

Integrated resources planning in microgrids considering interruptible loads and shiftable loads

Single and multi-objective operation management of micro-grid using krill herd optimization and ant lion optimizer algorithms

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