Robust Bidding Strategy for Multi-Energy Virtual Power Plant in Peak-Regulation Ancillary Service Market Considering Uncertainties

Li, Yong; Deng, Youyue; Wang, Yahui; Jiang, Lin; Shahidehpour, Mohammad

doi:10.2139/ssrn.4261723

Cited by 3 publications

(3 citation statements)

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“…At this stage, the diversification of RES and other technologies, such as electricity storage, should be considered, but there must be an economic viability to the project. It is proposed that RES installations scattered over many buildings will operate in a coordinated manner, forming a virtual power plant-VPP [56]. The penultimate stage in the development of distributed generation technologies on university campuses is investment in energy independence-Stage 3.…”

Section: The Pyramid Of Energy Goalsmentioning

confidence: 99%

Investing in Distributed Generation Technologies at Polish University Campuses during the Energy Transition Era

Zagrajek,

Kłos,

Rasolomampionona

et al. 2023

Energies

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The functioning of universities during the energy transition can be quite a challenge for them. On one hand, it is necessary to pursue a sensible policy of sustainable development based on the growth of their own renewable energy sources and electricity storage facilities. The aim of such measures is to increase self-consumption and ensure partial energy self-reliance while reducing carbon dioxide emissions into the atmosphere. On the other hand, the current geopolitical situation has indicated significant problems in the energy sectors of European Union countries. From the point of view of decision-makers at universities, the main concern should be ensuring the continuity of the operation of such a facility, including ensuring the energy security of the sites under management. Thus, it is necessary to merge these two areas and consider the development of an energy management strategy on university campuses oriented towards the development of distributed generation resources. For this purpose, one of the methods of multi-criteria decision aiding the ELECTRE I was used. As a result of the analyses, an energy management strategy was established for the main campus of the Warsaw University of Technology, which simultaneously ensures energy security and sustainability efforts.

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Section: The Pyramid Of Energy Goalsmentioning

confidence: 99%

Investing in Distributed Generation Technologies at Polish University Campuses during the Energy Transition Era

Zagrajek,

Kłos,

Rasolomampionona

et al. 2023

Energies

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“…The construction of a new power system mainly based on new energy means that wind power and photovoltaic will be the main body of the future power system, and coal power will be relegated to auxiliary energy [2][3]. The system consumption capacity is a necessary condition for the development of new energy, so it is essential to strengthen the construction of a system flexible regulation power supply and vigorously improve the power demand side response capacity [4][5]. Since 2017, China's electricity spot market, represented by Shandong, Zhejiang, Guangdong, and other places, has completed its initial construction and has gradually improved the trading environment of the power market, relaxed the access conditions of the power market, increased the types of power market subjects, stimulated the vitality of the power market, and guided the power market to play a market-led role [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Collaborative Optimization Decision Support System for Biomass and Smart Energy Based on Virtual Power Plant

Wang,

Chen,

Wang

et al. 2024

Applied Mathematics and Nonlinear Sciences

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Energy is an important basic resource for the development of human society. This paper develops a decision support system for collaborative optimization of biomass energy and intelligence using biomass energy and smart energy management technology. Explain the various methods by which biomass can be transformed into usable energy for power plants. A smart energy management model is constructed using Internet of Things technology, and its performance prediction model is predicted using the gray prediction model. To study the optimal allocation of energy in the system constructed in this paper, the objective function and constraints are built using carbon capture technology, and the optimal allocation conditions of energy are calculated. After experimental analysis, it was found that in 2020, biomass energy power generation reached 29 million kilowatts, which was 020.1 million kilowatts higher than in 2015. The co-optimization strategy of biomass energy and smart energy constructed in this paper supports the energy utilization efficiency of the system to reach more than 60%. Compared to the traditional energy division system, the constructed system saves an annual cost of 52.71%. The payback period was shortened to 3.31 years, resulting in a net present value increase of 2.8991 million yuan. The energy synergy system’s power supply produces the least amount of carbon dioxide from an environmental perspective and has been stabilized at 50 kg.

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“…As an independent market entity, VPP aggregates distributed energy resources to participate in the electricity market in the form of price takers, which can transact electricity, to maximise profits [10,11] and formulate bidding strategies according to each member. According to the mechanism in North China, the bidding model for VPP to participate in the peak shaving market is determined, and the benefits are distributed among members through Shapely [12]. By participating in peak shaving for interruptible loads and energy storage, a peak shaving bidding model aiming at the lowest cost of VPP peak shaving was established [13].…”

Section: Introductionmentioning

confidence: 99%

Optimal operation of virtual power plants with shared energy storage

2022

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The emergence of the shared energy storage mode provides a solution for promoting renewable energy utilization. However, how establishing a multi‐agent optimal operation model in dealing with benefit distribution under the shared energy storage is still a challenge. Considering the multi‐agent integrated virtual power plant (VPP) taking part in the electricity market, an energy trading model based on the sharing mechanism is proposed to explore the effect of the shared energy storage on multiple virtual power plants (MVPPs). To analyse the relationship among MVPPs in the shared energy storage system (SESS), a game‐theoretic method is introduced to simulate the bidding behaviour of VPP. Furthermore, the benefit distribution problem of the virtual power plant operator (VPPO) is formulated based on the Nash bargaining theory. In the case study, the proposed method is conducted in four VPPs with different resource endowments in terms of techno‐economic and operation efficiency. Results verify that the multiple virtual power plants with a shared energy storage system interconnection system based on the sharing mechanism not only can achieve a win‐win situation between the VPPO and the SESS on an operation cost but also obtain the optimal allocation scheme and improves the operation efficiency of the VPPs.

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Robust Bidding Strategy for Multi-Energy Virtual Power Plant in Peak-Regulation Ancillary Service Market Considering Uncertainties

Cited by 3 publications

References 0 publications

Investing in Distributed Generation Technologies at Polish University Campuses during the Energy Transition Era

Investing in Distributed Generation Technologies at Polish University Campuses during the Energy Transition Era

Collaborative Optimization Decision Support System for Biomass and Smart Energy Based on Virtual Power Plant

Optimal operation of virtual power plants with shared energy storage

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