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Yongji Cao
Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education, Shandong University, Jinan, China

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Paper
Published: 01 August 2021 in IOP Conference Series: Earth and Environmental Science
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The increasing penetration of renewable energy sources reduces the equivalent inertia and spinning reserve. Power systems are becoming more and more vulnerable when subjected to active power deficits. With the trait of quick response and flexible ramp, the energy storage system (ESS) offers a promising capability to counter frequency decline after large disturbances. This paper proposes an event-driven fast frequency response (EFFR) approach for the ESS to sustain frequency stability. A centralized EFFR control framework is established, in which the wide area information is collected, and the disturbance power is broadcasted to ESSs under contingencies. Moreover, a fuzzy logic controller (FLC) is employed to determine the power set-point of the ESS based on the disturbance power and state of charge (SOC). A case study is presented to validate the feasibility and effectiveness of the proposed approach.

ACS Style

Yongji Cao; Hengxu Zhang; Dong Yang; Zhimin Gao; Hao Qin; Jinye Yang. Event-Driven Fast Frequency Response for Energy Storage System Considering State of Charge. IOP Conference Series: Earth and Environmental Science 2021, 838, 012006 .

AMA Style

Yongji Cao, Hengxu Zhang, Dong Yang, Zhimin Gao, Hao Qin, Jinye Yang. Event-Driven Fast Frequency Response for Energy Storage System Considering State of Charge. IOP Conference Series: Earth and Environmental Science. 2021; 838 (1):012006.

Chicago/Turabian Style

Yongji Cao; Hengxu Zhang; Dong Yang; Zhimin Gao; Hao Qin; Jinye Yang. 2021. "Event-Driven Fast Frequency Response for Energy Storage System Considering State of Charge." IOP Conference Series: Earth and Environmental Science 838, no. 1: 012006.

Paper
Published: 01 August 2021 in IOP Conference Series: Earth and Environmental Science
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With the increasing penetration of renewable energy sources such as wind and solar power, higher requirements of flexible supply ability for power systems are put forward. In this context, an optimal dispatching method considering two types of demand response is proposed to improve power system flexibility. On the demand side, both the time-of-use (TOU) price and interruptible load are used to guide consumers to actively optimize the load curve, so as to relieve the pressure of the flexible supply of conventional units on the supply side. The demand response model consisting of TOU price and interruptible load is built. Then, taking the minimum cost as the objective function, the optimization model for power system dispatching is solved. Finally, the modified IEEE 30 bus system is taken as a case study. The results show that the consideration of two-type demand response in the optimal dispatching can improve the flexibility while ensuring economy, which verifies the effectiveness of the proposed method.

ACS Style

Jinye Yang; Yongji Cao; Hengxu Zhang; XiaoMing Liu; Zhenhua Yuan. Flexibility Optimal Dispatching for Power System Considering Demand Response. IOP Conference Series: Earth and Environmental Science 2021, 838, 012007 .

AMA Style

Jinye Yang, Yongji Cao, Hengxu Zhang, XiaoMing Liu, Zhenhua Yuan. Flexibility Optimal Dispatching for Power System Considering Demand Response. IOP Conference Series: Earth and Environmental Science. 2021; 838 (1):012007.

Chicago/Turabian Style

Jinye Yang; Yongji Cao; Hengxu Zhang; XiaoMing Liu; Zhenhua Yuan. 2021. "Flexibility Optimal Dispatching for Power System Considering Demand Response." IOP Conference Series: Earth and Environmental Science 838, no. 1: 012007.

Journal article
Published: 30 January 2021 in Applied Sciences
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Non-synchronous renewable energy sources (RESs) have strong volatility and low inertia, which brings about great challenges on the accommodation of RESs and the security and stability of power systems. This paper proposes a bi-level power system dispatch and control architecture based on the grid-friendly virtual power plant (GVPP), so as to accommodate RESs flexibly and securely. The typical dispatch and control system of the power system in China is presented, and the particular challenges stemming from non-synchronous RESs are analyzed. The functional requirements, concept, and fundamental design of the GVPP are provided, which is distinguished from traditional virtual power plants (VPPs) for its active participation in power system stability control. Based on the cloud platform, a bi-level dispatch and control architecture considering two objectives is established. First, in the inner level, the GVPP operates to promote the accommodation of RESs under normal condition. Then, from the perspective of out-level power systems, GVPPs serve as spinning reserves for power support under contingencies. Besides, the key problems to be solved in the development of the GVPP-based architecture are summarized. Although the architecture is proposed for the power system in China, it can be applied to any power systems with similar challenges.

ACS Style

Qingwen Xu; Yongji Cao; Hengxu Zhang; Wen Zhang; Vladimir Terzija. Bi-Level Dispatch and Control Architecture for Power System in China Based on Grid-Friendly Virtual Power Plant. Applied Sciences 2021, 11, 1282 .

AMA Style

Qingwen Xu, Yongji Cao, Hengxu Zhang, Wen Zhang, Vladimir Terzija. Bi-Level Dispatch and Control Architecture for Power System in China Based on Grid-Friendly Virtual Power Plant. Applied Sciences. 2021; 11 (3):1282.

Chicago/Turabian Style

Qingwen Xu; Yongji Cao; Hengxu Zhang; Wen Zhang; Vladimir Terzija. 2021. "Bi-Level Dispatch and Control Architecture for Power System in China Based on Grid-Friendly Virtual Power Plant." Applied Sciences 11, no. 3: 1282.

Journal article
Published: 10 July 2019 in The Journal of Engineering
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The inherent complementarity of wind and solar energy resources is beneficial to smooth aggregate power and reduce ramp reserve capacity. This article proposes a progressive approach to assess the wind-solar complementarities in Shandong province, China for the preliminary planning of hybrid energy systems. Based on the NASA database, the long-term wind speed and solar irradiation data are obtained and transformed into capacity factors by virtual energy system models. Then, the local assessment that focuses on temporal characteristics is carried out to measure the complementarities in different time scales and search the optimal scale. Progressively, the space scale is extended from a local site to the whole study region and the global assessment is conducted to extract the spatial complementary characteristics. The assessment results are useful to provide the optimal temporal scale and spatial combination of wind-solar complementarity and the proposed approach can be generalised to other regions.

ACS Style

Yongji Cao; Yi Zhang; Hengxu Zhang; Pengfei Zhang. Complementarity assessment of wind‐solar energy sources in Shandong province based on NASA. The Journal of Engineering 2019, 2019, 4996 -5000.

AMA Style

Yongji Cao, Yi Zhang, Hengxu Zhang, Pengfei Zhang. Complementarity assessment of wind‐solar energy sources in Shandong province based on NASA. The Journal of Engineering. 2019; 2019 (18):4996-5000.

Chicago/Turabian Style

Yongji Cao; Yi Zhang; Hengxu Zhang; Pengfei Zhang. 2019. "Complementarity assessment of wind‐solar energy sources in Shandong province based on NASA." The Journal of Engineering 2019, no. 18: 4996-5000.

Journal article
Published: 14 August 2017 in Energies
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The large capacity transmission of power over long distance and the rapid development of renewable energy increase the probability of unexpected emergencies such as overload and under-voltage. To tackle these emergencies and defend future disturbances, the corrective switching is implemented as an online control and a multi-objective scheme-making approach is proposed. A multi-objective 0-1 integer optimization model is established to cover a set of contradictory objectives from the aspects of economics, security and reliability. A two-phase optimization approach is proposed to ensure computation efficiency and coordinate the trade-off between these objectives: in the first phase, a feasible set silting method is utilized to quickly search for a set of candidate corrective switching schemes; in the second phase, the technique for order preference by similarity to an ideal solution (TOPSIS) method is applied to the candidate set to coordinate the contradictory objectives and determine the ultimate engineering scheme. Two case studies are conducted to verify the proposed approach in overload and under-voltage scenarios. The results are discussed to show the strengths when the performance indices of economics, security and reliability are considered.

ACS Style

Xin Xu; Yongji Cao; Hengxu Zhang; Shiying Ma; Yunting Song; Dezhi Chen. A Multi-Objective Optimization Approach for Corrective Switching of Transmission Systems in Emergency Scenarios. Energies 2017, 10, 1204 .

AMA Style

Xin Xu, Yongji Cao, Hengxu Zhang, Shiying Ma, Yunting Song, Dezhi Chen. A Multi-Objective Optimization Approach for Corrective Switching of Transmission Systems in Emergency Scenarios. Energies. 2017; 10 (8):1204.

Chicago/Turabian Style

Xin Xu; Yongji Cao; Hengxu Zhang; Shiying Ma; Yunting Song; Dezhi Chen. 2017. "A Multi-Objective Optimization Approach for Corrective Switching of Transmission Systems in Emergency Scenarios." Energies 10, no. 8: 1204.