A Fully Distributed Approach for Economic Dispatch Problem of Smart Grid

Li, Bo; Wang, Yudong; Li, Jian; Cao, Sheng

doi:10.3390/en11081993

Cited by 21 publications

(14 citation statements)

References 40 publications

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“…IEEE57-bus system contains seven generators units located on buses {1, 2, 3, 6, 8, 9, 12}. Besides, we selected the buses with load power as the load buses, which are all buses except for buses {4, 7,11,21,22,24,26,34,36,37,39,40,45,46, 48} in the IEEE57-bus system. By analyzing the load power data of IEEE57-bus, the summation of the power load could be calculated as P 0 = 1250.8 MW, which was unknown to each individual node.…”

Section: Case 3: Implementation On Ieee 57-bus Systemmentioning

confidence: 99%

“…The authors of [36] proposed a distributed algorithm based on consensus-like iterative, and adopted bisection search approach to obtain optimal incremental cost parameter in distributed way. A full decentralized algorithm for EDP is presented in [37], in which a flooding-based consensus method is used to obtain total power demand by communicating with neighbors of each node in the power system. The authors of [38] proposed an optimization algorithm based on auction techniques and consensus protocols to solve EDP with non-convex cost function.…”

Section: Introductionmentioning

confidence: 99%

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Distributed Absorption and Half-Search Approach for Economic Dispatch Problem in Smart Grids

Zhang

et al. 2019

Energies

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The economic dispatch problem (EDP) is a significant class of optimization issues in the power system, which works on minimizing the total cost when generating a certain amount of power. A novel distributed approach for EDP is proposed in this paper. The presented approach consists of two steps. The first step, named absorption search, is to simplify the network structure through absorption searching. A flooding-based consensus approach is applied in the first step, which can be used to achieve consensus information among nodes. After the first step, only the generation nodes are kept in the network. The data collection can be completed by local computation and communication between neighbors. The first step can be considered as the stage of gathering information. In the second step, a distributed half-search algorithm makes the nodes obtain the final optimal solution in a distributed way. The results on three case studies demonstrate that the proposed approach is highly effective for solving the EDP.

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Section: Case 3: Implementation On Ieee 57-bus Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Distributed Absorption and Half-Search Approach for Economic Dispatch Problem in Smart Grids

Zhang

et al. 2019

Energies

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“…In this paper, multiple versions of particle swarm optimization techniques are used to ascertain the optimal cost of generation capacity that can be integrated into the existing power system and the results of the proposed algorithm for a 30 bus test case system are reported. A new fictitious code based algorithm is developed, in this paper, for equality constraints [1] other than the penalty function methods that performs better due to its parallel search capability.The effect of multiple valves in steam tubines narrated by Singh and Wang et al, [2][3][4] yields more perturbation in cost function which can be piece wise linear using conventional economic dispatch techniques. This methodology is so easy that particle 1925 swarm optimization (PSO) utilizes some parameters and definitions of the optimization process and then it starts the process with an initial random population involving parallel search technique, named particles.…”

Section: Introductionmentioning

confidence: 99%

Dual objective multiconstraint swarm optimization based advanced economic load dispatch

Maharana¹,

Dash²

2021

IJECE

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In electric power system, the vital topic to be mooted is economic load dispatch (ELD). It is a non-linear problem with some unavoidable constraints such as valve point loading and ramp rate constraint. For solving ELD problem distint methods were devised and tried for different electric supply systems yielding slow convergence rates. To achieve fast convergence, dual objective multi constraint swarm optimization based advanced economic load dispatch (DOMSOBAELD) algorithm is proposed making use of simulated values of real power outages of a thermal power plant as initial estimates for PSO technique embedded in it and used for optimizing economic dispatch problem in this article. DOMSOBAELD method was developed in the form of amalgamating fluids. Presence of power line losses, multiple valves in steam turbines, droop constraints and inhibited zones were utilized to optimize the ELD problem as genuinely approximate as possible. The results obtained from DOSOBAELD are compared with particle swarm optimization (PSO), PSOIW and differential particle swarm optimization (DPSO) techniques. It is quite conspicuous that DOMSOBAELD yielded minimum cost values with most favourable values of real unit outputs. Thus the proposed method proves to be advantageous over other heuristic methods and yields best solution for ELD by selecting incremental fuel cost as the decision variable and cost function as fitness function.

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“…Hence, the operation of BESSs has a significant impact on the performance of the AC distribution network since their inadequate operation can cause excessive cost in operation, deterioration of voltage profile, or increments of power oscillations [5]. For this reason, the economic dispatch of BESSs is an important topic to study and analyze [6,7].…”

Section: Introductionmentioning

confidence: 99%

A Second-Order Cone Programming Reformulation of the Economic Dispatch Problem of BESS for Apparent Power Compensation in AC Distribution Networks

et al. 2020

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The problem associated with economic dispatch of battery energy storage systems (BESSs) in alternating current (AC) distribution networks is addressed in this paper through convex optimization. The exact nonlinear programming model that represents the economic dispatch problem is transformed into a second-order cone programming (SOCP) model, thereby guaranteeing the global optimal solution-finding due to the conic (i.e., convex) structure of the solution space. The proposed economic dispatch model of the BESS considers the possibility of injecting/absorbing active and reactive power, in turn, enabling the dynamical apparent power compensation in the distribution network. A basic control design based on passivity-based control theory is introduced in order to show the possibility of independently controlling both powers (i.e., active and reactive). The computational validation of the proposed SOCP model in a medium-voltage test feeder composed of 33 nodes demonstrates the efficiency of convex optimization for solving nonlinear programming models via conic approximations. All numerical validations have been carried out in the general algebraic modeling system.

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A Fully Distributed Approach for Economic Dispatch Problem of Smart Grid

Cited by 21 publications

References 40 publications

Distributed Absorption and Half-Search Approach for Economic Dispatch Problem in Smart Grids

Distributed Absorption and Half-Search Approach for Economic Dispatch Problem in Smart Grids

Dual objective multiconstraint swarm optimization based advanced economic load dispatch

A Second-Order Cone Programming Reformulation of the Economic Dispatch Problem of BESS for Apparent Power Compensation in AC Distribution Networks

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