Secure Multi-Party Household Load Scheduling Framework for Real-Time Demand-Side Management

Cheng, Lilin; Zang, Haixiang; Wei, Zhinong; Sun, Guoqiang

doi:10.1109/tste.2022.3221081

Cited by 19 publications

(7 citation statements)

References 43 publications

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“…Apart from this, to address this issue, ensure power system stability, enhance the renewable energy accommodation capability of the power grid, reduce the peak-valley difference in the power system, and delay constructive investment of the power grid, the concept of demand-side management (DSM) was introduced. The concept of electrical DSM was proposed by the American Electric Power Research Institute in the 1980s [6], and it has gained increased significance in enhancing system reliability [7].…”

Section: S Dmaxmentioning

confidence: 99%

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Flexible Load Participation in Peaking Shaving and Valley Filling Based on Dynamic Price Incentives

Wang,

Yu,

2024

ENERGY

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Considering the widening of the peak-valley difference in the power grid and the difficulty of the existing fixed time-of-use electricity price mechanism in meeting the energy demand of heterogeneous users at various moments or motivating users, the design of a reasonable dynamic pricing mechanism to actively engage users in demand response becomes imperative for power grid companies. For this purpose, a power grid-flexible load bilevel model is constructed based on dynamic pricing, where the leader is the dispatching center and the lower-level flexible load acts as the follower. Initially, an upper-level day-ahead dispatching model for the power grid is established, considering the lowest power grid dispatching cost as the objective function and incorporating the power gridside constraints. Then, the lower level comprehensively considers the load characteristics of industrial load, energy storage, and data centers, and then establishes a lower-level flexible load operation model with the lowest user power-consuming cost as the objective function. Finally, the proposed method is validated using the IEEE-118 system, and the findings indicate that the dynamic pricing mechanism for peaking shaving and valley filling can effectively guide users to respond actively, thereby reducing the peak-valley difference and decreasing users' purchasing costs. KEYWORDSDemand response; fixed time-of-use electricity price mechanism; dynamic price incentives mechanism; bi-level model; flexible loadThe active generation of generator v at time t P ij.tThe transmission capacity of the line between node i and j θ i.t , θ j.tVoltage angle of node i and j at time t dP N d,t The variation of load d responds to demand response at time t C N d,t The unit electricity consumption cost of load d at time t λ in d,tThe interactive data allocated to data center d at time t λ de d,tThe batch processing data allocated to data center d at time t S d,tThe data storage capacity of the data center d at time t S de,opl d,t The total batch processing data processed by data center d at time t P Q d,t Refrigerating active power of data center d at time t P IT d.t IT power consumption of data centers d at time t P N d.tThe consumption of electricity demand d at time t

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Section: S Dmaxmentioning

confidence: 99%

“…The upper level encompasses the day-ahead dispatching model for the power grid, incorporating Eqs. ( 1)- (7). The lower level comprises a flexible load operation model, encompassing Eqs.…”

Section: Data Centersmentioning

confidence: 99%

Flexible Load Participation in Peaking Shaving and Valley Filling Based on Dynamic Price Incentives

Wang,

Yu,

2024

ENERGY

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“…For these applications, centralized-based power tracking approaches, such as mathematical programming (Xie et al, 2000) or heuristic algorithms (Deb et al, 2002) are often used to obtain high-quality dispatch schemes. With the decentralization of the power grid and the expansion of regulation resources, it is hard for conventional centralized approaches to quickly determine a global optimum within the scheduled time (Wu et al, 2021b;Cheng et al, 2023). Compared to conventional centralized power tracking approaches such as mathematical programming or heuristic algorithms, distributed-based algorithms (Erdeljan et al, 2014) can more quickly provide optimal solutions for power grids.…”

Section: Open Accessmentioning

confidence: 99%

Consensus control for distributed power tracking by device-level digital twin agents

Wang

Guo²,

Pang³

et al. 2023

Front. Energy Res.

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The development of electronics and software has resulted in the ability of twin agents to act as digital counterparts for the optimization, control, and monitoring of real power grids. When increasing regulation resources are connected to the power grid, is challenging for independent system operators to use a centralized controller to achieve power tracking and balance. Therefore, the present study applied device-level-based digital twins to monitor physical signals for computer-aided design for power tracking. Moreover, a consensus control-based distributed power tracking system is proposed for the physical-model simulation of the power grid. A communication network was also designed for realistic signal exchange. The combination of the proposed distributed power tracking method and communication network can accelerate computational efficiency and protect the privacy of the regulation resources. Finally, the performance of the proposed distributed power tracking method is validated in a simulation system with 10 regulation resources.

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“…The forecast prices for energy and regulation are from (Kazempour et al, 2009). The RegA-type regulation signals of PJM market for a whole year are used to establish the energy demand for frequency regulation (Zhang et al, 2018;Cheng et al, 2023;Zhou et al, 2024). The energy demand for frequency regulation are calculated by averaging regulation signals in every 15 min, and the k-means clustering method is used to generate 10 scenarios to represent the potential frequency regulation requirements.…”

Section: Simulation Settings and Parametersmentioning

confidence: 99%

Optimal scheduling of pumped storage hydropower plants with multi-type of units in day-ahead electricity market considering water head effects

Cao,

Hu,

Cai

2023

Front. Energy Res.

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Pumped-storage hydropower plant (PSHP) is a type of valuable energy storage system and a flexible resource to the modern power system with increasing renewable energy integration. As independent market participants, a PSHP can participate in both the energy market and frequency regulation market to maximize its revenue and contribution to the secure and economic operation of the power system. In some PSHPs, both fixed-speed and variable-speed units are installed to improve the flexibility, especially when operating in the pumping mode. However, it’s difficult to deal with the nonlinear relationships among power, flow, and water head in pumping and generating modes. This paper proposes iterative solution methods for scheduling the PSHP by considering the relationship between power and flow at different water heads for different types of units. The scheduling problem is established as a scenario-based optimization formulation by considering PSHP’s participation in both the energy market and frequency regulation market. In each iteration, the optimal dispatch model is formulated as a Mixed Integer Linear Programming (MILP) problem. Case studies are performed and simulation results validate the effectiveness of the model and the iterative solution methods.

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Secure Multi-Party Household Load Scheduling Framework for Real-Time Demand-Side Management

Cited by 19 publications

References 43 publications

Flexible Load Participation in Peaking Shaving and Valley Filling Based on Dynamic Price Incentives

Flexible Load Participation in Peaking Shaving and Valley Filling Based on Dynamic Price Incentives

Consensus control for distributed power tracking by device-level digital twin agents

Optimal scheduling of pumped storage hydropower plants with multi-type of units in day-ahead electricity market considering water head effects

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