Carbon emission impact on the operation of virtual power plant with combined heat and power system

2016 ◽  
Vol 17 (5) ◽  
pp. 479-488 ◽  
Author(s):  
Yu-hang Xia ◽  
Jun-yong Liu ◽  
Zheng-wen Huang ◽  
Xu Zhang
2021 ◽  
Vol 20 ◽  
pp. 75-91
Author(s):  
Qing Yang ◽  
Hao Wang ◽  
Taotao Wang ◽  
Shengli Zhang ◽  
Xiaoxiao Wu ◽  
...  

The advent of distributed energy resources (DERs), such as distributed renewables, energy storage, electric vehicles, and controllable loads, brings a significantly disruptive and transformational impact on the centralized power system. It is widely accepted that a paradigm shift to a decentralized power system with bidirectional power flow is necessary to the integration of DERs. The virtual power plant (VPP) emerges as a promising paradigm for managing DERs to participate in the power system. In this paper, we develop a blockchain-based VPP energy management platform to facilitate a rich set of transactive energy activities among residential users with renewables, energy storage, and flexible loads in a VPP. Specifically, users can interact with each other to trade energy for mutual benefits and provide network services, such as feed-in energy, reserve, and demand response, through the VPP. To respect the users’ independence and preserve their privacy, we design a decentralized optimization algorithm to optimize the users’ energy scheduling, energy trading, and network services. Then we develop a prototype blockchain network for VPP energy management and implement the proposed algorithm on the blockchain network. By experiments using real-world data trace, we validated the feasibility and e_ectiveness of our algorithm and the blockchain system. The simulation results demonstrate that our blockchain-based VPP energy management platform reduces the users’ cost by up to 38.6% and reduces the overall system cost by 11.2%.


2021 ◽  
Vol 11 (3) ◽  
pp. 1282
Author(s):  
Qingwen Xu ◽  
Yongji Cao ◽  
Hengxu Zhang ◽  
Wen Zhang ◽  
Vladimir Terzija

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.


2021 ◽  
Vol 256 ◽  
pp. 01026
Author(s):  
Yuan Guili ◽  
Chen Sixuan ◽  
Dou Xiaoxuan

There is a large number of combined heat and power units in northern China, and due to the limit of heating demand, the operating mode of setting electricity by heat of combined heat and power units has seriously took over the consumption space of other energy, resulting in severe wind power curtailment and rationing situation in some areas, so this paper studies the deep peak regulation bidding strategy problem considering multiple uncertainties on virtual power plants, and established a two-staged optimization model of virtual power plant to maximize the net revenue, then introduced the Shapely value method with correction coefficient redistribute the peak regulation revenue. The simulation results showed that the two-stage bidding model can not only improve the market competitiveness of the virtual power plant, but also promote the consumption of renewable energy and reduce the market peak regulation service cost. Meanwhile, the improved apportion method can effectively guarantee the enthusiasm of all kinds of units to participate in the deep peak regulation market.


2021 ◽  
Vol 248 ◽  
pp. 02004
Author(s):  
Shupeng Li ◽  
Guangyao Yu ◽  
Xu Zhou ◽  
Nannan Xing

With the continuous development of energy industry, the contradiction between supply and demand is becoming increasingly serious. In order to coordinate the contradiction between power system and distributed renewable energy, and deal with many challenges brought by new energy power to power system. We should fully exploit the value and benefits of new energy for power system and users. In this paper, a new urban virtual power plant system is proposed, which integrates distributed generation units, energy storage system and controllable load. It uses advanced data communication and coordinated control technology to realize the organic overall regulation and control of various types of distributed energy and load, to reduce the challenge of randomness and volatility of high penetration distributed generation to power grid operation and dispatching, and to alleviate the contradiction between supply and demand.


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