Distributed hierarchical consensus algorithm for economic dispatch in smart grid

Wu, Xiaopeng; Sun, Yonghui; Wei, Zhinong; Sun, Guoqiang

doi:10.1049/iet-gtd.2018.5219

Cited by 4 publications

(2 citation statements)

References 47 publications

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“…The research content of DED problem in smart grid is to maximize the economic effect of power generation under the constraint of power generation unit, that is, to find the optimal power generation required at the lowest cost. The research on DED problems can be divided into three parts: problem modeling, algorithm design, algorithm analysis, and validation [17][18]. Problem modeling is a convex optimization problem, but it involves constraints such as SDB and capacity constraints in economic scheduling problems.…”

Section: A Edosg and Multi-intelligent 1ocamentioning

confidence: 99%

Distributed Optimization Scheduling Consistency Algorithm for Smart Grid and its Application in Cost Control of Power Grid

Shang,

Sun,

Pan

et al. 2024

IJACSA

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There are problems such as low scalability and low convergence accuracy in the economic dispatch of smart grids. To address these situations, this study considers various constraints such as supply-demand balance constraints, climb constraints, and capacity constraints based on the unified consensus algorithm of multi-agent systems. By using Lagrange duality theory and internal penalty function method, the optimization of smart grid economic dispatch is transformed into an unconstrained optimization problem, and a distributed second-order consistency algorithm is proposed to solve the model problem. IEEE6 bus system testing showed that the generator cost of the distributed second-order consistency algorithm in the first, second, and third time periods was 2.2475 million yuan, 5.8236 million yuan, and 3.7932 million yuan, respectively. Compared to the first-order consistency algorithm, the generator cost during the corresponding time period has increased by 10.23%, 11.36%, and 13.36%. The actual total output has reached supply-demand balance in a short period of time with the changes in renewable energy, while maintaining supply-demand balance during the scheduling process. The actual total output during low, peak, and off peak periods was 99MW, 147MW, and 120MW, respectively. This study uses distributed second-order consistency algorithm to solve the economic dispatch model of smart grid to achieve higher convergence accuracy and speed. The study is limited by the assumption that the cost functions of each power generation unit are quadratic convex cost functions under ideal conditions. This economic dispatch model may not accurately reflect practical applications.

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Section: A Edosg and Multi-intelligent 1ocamentioning

confidence: 99%

Distributed Optimization Scheduling Consistency Algorithm for Smart Grid and its Application in Cost Control of Power Grid

Shang,

Sun,

Pan

et al. 2024

IJACSA

View full text Add to dashboard Cite

show abstract

“…erefore, the control center must have high-bandwidth communication facilities to collect all the information in the system and require high connectivity in the communication topology of the system, which increases the investment in the communication topology and puts high demands on the computing power of the control center [13]. Due to the plug-and-play feature, different devices frequently access and exit, which makes the topology of the system change [14]. In order to control this kind of system, distributed optimization is more suitable for solving the changing communication topology and adapting to the requirements of plug and play.…”

Section: Introductionmentioning

confidence: 99%

Smart Grid Dispatching Optimization for System Resilience Improvement

Liao

2020

Complexity

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A large number of modern communication technologies and sensing technologies are incorporated into the smart grid, which makes its structure unique. The centralized optimized dispatch method of traditional power grids is difficult to achieve effective dispatch of smart grids. Based on the analysis of power generation plan and maintenance plan optimization model, this paper establishes a smart grid power generation and maintenance collaborative optimization model with distributed renewable energy. The objective function of this collaborative optimization problem is the operating cost of conventional units, the cost of wind power generation, and the cost of overhauling units; the constraints considered mainly include system constraints and overhaul constraints. The solution method of combinatorial optimization is analyzed, and the genetic optimization algorithm adopted in this paper is selected and discussed. According to the characteristics of the system, various loads are modeled, and power supply constraints are considered. By establishing an effective objective function, the adjustable load scheduling problem is transformed into a solvable optimal control problem. Taking into account the uncertain factors in the system, the advantage of the real-time control system is that it can realize the dynamic update scheduling of the load, so it is more in line with the requirements of the actual system. The real-time algorithm proposed in the paper is based on a distributed control strategy, which can not only realize dynamic compensation for random fluctuations in renewable energy power generation but also satisfy the load curve optimization under the premise of making full use of power supply resources. In addition, simulation experiments compare the load dispatching capabilities of the proposed algorithm with the existing algorithms, thereby verifying the performance of the proposed method.

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Privacy-Preserving Economic Dispatch Algorithm in Smart Grid with General Random Noise

Wang,

Dong

2023

2023 35th Chinese Control and Decision Conference (CCDC)

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Distributed hierarchical consensus algorithm for economic dispatch in smart grid

Cited by 4 publications

References 47 publications

Distributed Optimization Scheduling Consistency Algorithm for Smart Grid and its Application in Cost Control of Power Grid

Distributed Optimization Scheduling Consistency Algorithm for Smart Grid and its Application in Cost Control of Power Grid

Smart Grid Dispatching Optimization for System Resilience Improvement

Privacy-Preserving Economic Dispatch Algorithm in Smart Grid with General Random Noise

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