Distributed Online Optimal Energy Management for Smart Grids

Zhang, Wei; Xu, Yinliang; Liu, Wenxin; Zang, Chuanzhi; Huang, Yu

doi:10.1109/tii.2015.2426419

Cited by 127 publications

(58 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…That implies converge to a common value. Thus, the optimal conditions are satisfied, In addition, when the inequality constraints are taken into consideration, the projection operators Equation (11c) does not affect the convergence which has been verify in [20,24]. Then, we can conclude that λ …”

Section: Conflicts Of Interestmentioning

confidence: 75%

“…Compared with the distributed methods [8,[17][18][19][20][21][22][23][24], in CHP system, the relationship between electrical and heat power are coupled, which existed in the objective function caused by the nonzero coefficient ξ i of Equation (1a), and in the feasible operating region of CGAs mathematically represented (9). Thus, the optimal solutions cannot be separately calculated by the power system or heat system.…”

Section: Remarkmentioning

confidence: 99%

See 1 more Smart Citation

Distributed Optimal Economic Dispatch Based on Multi-Agent System Framework in Combined Heat and Power Systems

Zhang

Huang

et al. 2016

Applied Sciences

View full text Add to dashboard Cite

Abstract:In this paper, a novel distributed method is presented to solve combined heat and power economic dispatch problem, which is formulated as a distributed coupled optimization problem. The optimization goal is achieved by establishing two modified consensus protocols with two corresponding feedback parts while satisfying the electrical and heat supply-demand balance. Moreover, an alternating iterative method is proposed to handle the heat-electrical coupling problem existed in the objective function and the feasible operating regions. In addition, the proposed distributed method is implemented by a multi-agent system framework, which only requires local information exchange among neighboring agents. Simulation results obtained on a 16-bus test system are provided to illustrate the effectiveness of the proposed distributed method.

show abstract

Section: Conflicts Of Interestmentioning

confidence: 75%

Section: Remarkmentioning

confidence: 99%

Distributed Optimal Economic Dispatch Based on Multi-Agent System Framework in Combined Heat and Power Systems

Zhang

Huang

et al. 2016

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…A promising approach for distributed control problems is MAS [74,75]. MAS has been used for power system integration, restoration, reconfiguration, and power management of MGs [24,25,36,37,64,[76][77][78][79]. A MAS may be distributed as a coupled network of intelligent hardware and software agents that work together to achieve a global objective.…”

Section: Hybrid Centralized and Distributed Control Schemementioning

confidence: 99%

A Survey on Smart Agent-Based Microgrids for Resilient/Self-Healing Grids

2017

View full text Add to dashboard Cite

This paper presents an overview of our body of work on the application of smart control techniques for the control and management of microgrids (MGs). The main focus here is on the application of distributed multi-agent system (MAS) theory in multi-objective (MO) power management of MGs to find the Pareto-front of the MO power management problem. In addition, the paper presents the application of Nash bargaining solution (NBS) and the MAS theory to directly obtain the NBS on the Pareto-front. The paper also discusses the progress reported on the above issues from the literature. We also present a MG-based power system architecture for enhancing the resilience and self-healing of the system.

show abstract

“…Based on JADE platform and multi-agent system (MAS), Zhang et al [19] proposed a distributed gradient based algorithm, to minimize the total active power generation cost online. Later, further work was carried out to integrate the economic dispatch and demand response management together [20]. Additionally, considering the generation and ramping rate limits of DGs, an MAS based dynamic programming algorithm was developed, to minimize the total power generation cost [21].…”

Section: Introductionmentioning

confidence: 99%

Cost-Based Droop Schemes for Economic Dispatch in Islanded Microgrids

Chen

et al. 2017

IEEE Trans. Smart Grid

132

View full text Add to dashboard Cite

In this paper, cost based droop schemes are proposed, to minimize the total active power generation cost in an islanded microgrid (MG), while the simplicity and decentralized nature of the droop control are retained. In cost based droop schemes, the incremental costs of distributed generators (DGs) are embedded into the droop schemes, where the incremental cost is a derivative of the DG cost function with respect to output power. In the steady state, DGs share a single common frequency, and cost based droop schemes equate incremental costs of DGs, thus minimizing the total active power generation cost, in terms of the equal incremental cost principle. Finally, simulation results in an islanded MG with high penetration of intermittent renewable energy sources are presented, to demonstrate the effectiveness, as well as plug and play capability of the cost based droop schemes.Index Terms-Microgrid (MG), incremental cost, generation cost, cost based droop schemes, decentralized control.

show abstract

Distributed Online Optimal Energy Management for Smart Grids

Cited by 127 publications

References 32 publications

Distributed Optimal Economic Dispatch Based on Multi-Agent System Framework in Combined Heat and Power Systems

Distributed Optimal Economic Dispatch Based on Multi-Agent System Framework in Combined Heat and Power Systems

A Survey on Smart Agent-Based Microgrids for Resilient/Self-Healing Grids

Cost-Based Droop Schemes for Economic Dispatch in Islanded Microgrids

Contact Info

Product

Resources

About