Thermal units commitment with demand response to optimize battery storage capacity

Kyoho, R.; Goya, Tomonori; Mengyan, Wang; Senjyu, Tomonobu; Yona, Atsushi; Funabashi, Toshihisa; Kim, Chul‐Hwan

doi:10.1109/peds.2013.6527203

Cited by 5 publications

(4 citation statements)

References 7 publications

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“…In general, the fuel costs of controllable generators (CGs) are represented as a quadratic function by means of their outputs, and it can be minimized if the microgrid operators maintain their outputs as steady as possible. Now, the power generation planning of focusing on the operation of CGs is formulated as well-known as a mixed-integer programming (MIP) problem that combines optimization problems of unit commitment (UC) and economic load dispatch (ELD) [1][2][3][4][5][6]. However, the installation of batteries introduces new variables into the UC-ELD problem when regarded as optimization problem.…”

Section: Introductionmentioning

confidence: 99%

“…The variables represent charging and discharging operations of the batteries, and make the problem more complicated since we have to determine both the CGs' and batteries' operations simultaneously. Although several approaches that decide operational plan of the CGs and the batteries are proposed, there is no established solution method until now [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

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Determination method for optimal cooperative operation plan of microgrids by providing alternatives for microgrid operators

Soe

Takano

Ryuhei

et al. 2018

Journal of International Council on Electrical Engineering

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This paper presents a problem framework and its solution method to determine the cooperative operation plan of controllable generators (CGs) and batteries in microgrids. In the problem formulation, the authors emphasize the operational penalty of microgrids' operation, and then provide additional alternatives for microgrid operators. Specifically, the supply-demand balancing constraint is relaxed and integrated into the objective function as a penalty term. Here, the penalty means the amount of electricity trading with the main power grid. The objective function is designed as to minimize the total operation costs which consist of the sum of the operation costs of microgrid and the extra cost for compensating the imbalance. Moreover, the optimal operation plan is determined by an enumeration-based binary particle swarm optimization algorithm (enumeration-based BPSO). In the results of simulations, it is confirmed that the batteries perform the load shifting and reduce reserve shortfalls together with incurred fuel costs for minimizing the total operation costs.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Determination method for optimal cooperative operation plan of microgrids by providing alternatives for microgrid operators

Soe

Takano

Ryuhei

et al. 2018

Journal of International Council on Electrical Engineering

View full text Add to dashboard Cite

show abstract

“…The use of Demand Response Programs (DRPs) in power system operation increases the profit of customers as well as the operators. It also encourages customers' participation in the Demand Response Program (DRP) by rewarding them with incentives, if they agree to reduce their load demands during the peak hours of the day [3].…”

Section: Introductionmentioning

confidence: 99%

Demand Response Unit Commitment Problem Solution for Maximizing Generating Companies’ Profit

2017

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Over the recent years there has been an immense growth in load consumption due to which, Load Management (LM) has become more significant. Energy providers around the world apply different load management concepts and techniques to improve the load profile. In order to reduce the stress over the load management, Demand Response Unit Commitment (DRUC), a new concept, has been implemented in this paper. The main feature of this concept is that both the energy providers and consumers must participate in order to get mutual benefits hence maximizing each of their profits. In this paper we discuss the time-based Demand Response Program since there is no penalty observed in this program. When the Demand Response was combined with Unit Commitment and compiled it was observed that a satisfactory solution resulted, which is proved to be mutually beneficial for both Generating Companies (GENCOs) and their customers. Here, we have used a Cat Swarm Optimization (CSO) technique to find the solution for the DRUC problem. The results are obtained using CSO technique for UC problem with and without DR program. This is compared with the results obtained using other conventional methods. The test system considered for the study is IEEE39 bus system.

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“…According to the research of current battery storage capacity [1], unless there is a new breakthrough in the material, the battery storage capacity has reached a bottleneck over decades. It's impossible for the researchers to extend the short network lifetime by improving the battery of the node.…”

Section: Introductionmentioning

confidence: 99%

Scheduling Scheme based on Estimated-delay in Wireless Sensor Network

Zhang¹,

Li²

2015

TOAUTOCJ

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Abstract:In the low duty cycle wireless sensor network with unreliable link quality, how to meet designated delay requirements and maximize network lifetime is the focus of this study. This paper proposes the Scheduling Scheme based on Estimated-delay(SSE), which could satisfy decreasing energy consumption as well as delivery delay in the low duty cycle wireless sensor network by utilizing the estimated-delay from the current node to the destination node. We compare our SSE algorithm with other algorithms in the simulation. The results show that SSE could significantly improve the performance in the low duty cycle wireless sensor network compared with other algorithms at the same required delay.

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Thermal units commitment with demand response to optimize battery storage capacity

Cited by 5 publications

References 7 publications

Determination method for optimal cooperative operation plan of microgrids by providing alternatives for microgrid operators

Determination method for optimal cooperative operation plan of microgrids by providing alternatives for microgrid operators

Demand Response Unit Commitment Problem Solution for Maximizing Generating Companies’ Profit

Scheduling Scheme based on Estimated-delay in Wireless Sensor Network

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