Comprehensive review of renewable energy curtailment and avoidance: A specific example in China

Li, Canbing; Shi, Haiqing; Cao, Yijia; Wang, Jianhui; Kuang, Yonghong; Tan, Yi; Wei, Jing

doi:10.1016/j.rser.2014.09.009

Cited by 158 publications

(52 citation statements)

References 41 publications

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“…During times when power is most abundant, when electricity prices are in the bottom 5%, the CCPSO strategy increases demand by 15% relative to the brick-wall algorithm (the night-setback strategy uses no power during the lowest-priced hours). Increasing consumption during low-cost times may be especially important for enabling power systems to use more renewable power, as one of the key factors limiting adoption of wind and solar power is saturation of demand during sunny, windy and low-load times, which reduces the economic value of renewable power or even causes it to be discarded unused [34][35][36][37][38][39].…”

Section: Resultsmentioning

confidence: 99%

Multi-Objective Control of Air Conditioning Improves Cost, Comfort and System Energy Balance

Izawa¹,

Fripp²

2018

Preprint

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A new model predictive control (MPC) algorithm is used to select optimal air conditioning setpoints for a commercial office building, considering variable electricity prices, weather, occupancy and lighting. This algorithm, Cost-Comfort Particle Swarm Optimization (CCPSO), is the first to combine a realistic, smooth representation of occupants' willingness to pay for thermal comfort with a bottom-up, non-linear model of the building and air conditioning system under control. We find that using a quadratic preference function for temperature can yield solutions that are both more comfortable and lower-cost than previous work that used a "brick wall" preference function with no preference for further cooling within an allowed temperature band and infinite aversion to going outside the allowed band. Using historical pricing data for a summer month in Chicago, CCPSO provided a 3% reduction in costs vs. a "brick-wall" MPC approach with similar comfort and 13% reduction in costs vs. a standard night setback strategy. CCPSO also reduced peak-hours demand by 3% vs. the "brick-wall" strategy and 15% vs. standard night-setback. At the same time, the CCPSO strategy increased off-peak energy consumption by 15% vs. the "brick-wall" strategy. This may be valuable for power systems integrating large amounts of renewable power, which can otherwise become uneconomic due to saturation of demand during off-peak hours. Keywords: HVAC model predictive control, demand response, EnergyPlus, particle swarm optimization (PSO), renewable energy, smart grids MSC: 49M37, 65K05, 90-04, 90B35, 90B50, 90C29, 90C56, 90C90, 91B08, 91B10, 91B26, 91B42, 91B74

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Section: Resultsmentioning

confidence: 99%

Multi-Objective Control of Air Conditioning Improves Cost, Comfort and System Energy Balance

Izawa¹,

Fripp²

2018

Preprint

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“…Due to the intermittency and uncertainty of renewable sources, keeping the real-time supply and demand balance in the power system has become a challenging issue. In 2013, approximately one third of the global produced wind energy has been wasted as a result of REC [38]. It is expected that the emerge of multiterminal HVDC grids can alleviate the problem by transferring the surplus power to the neighboring load centers.…”

Section: Discussionmentioning

confidence: 99%

Expansion of offshore HVDC grids: An overview of contributions, status, challenges and perspectives

Elahidoost

Tedeschi

2017

2017 IEEE 58th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)

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Abstract-The goal of this paper is to review, systematize and critically discuss the approaches that have been proposed so far for grid transmission expansion in HVDC systems. In particular, the paper will focus on the special planning requirements of offshore HVDC grids, which have been seldom addressed by available literature. This contribution will first highlight how traditional expansion planning approaches commonly applied to AC systems need to be modified to properly include the HVDC technology; then it will outline how strategies and tools should be adapted when dealing with large offshore HVDC systems, such as the forthcoming North Sea Offshore Grid. On this respect, an updated overview of existing and planned HVDC links in the North Sea will be provided. Finally, a discussion of the specific challenges that need to be properly addressed by the expansion problem of offshore HVDC networks will be presented, with particular emphasis on renewable energy integration and control issues.

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“…In this case, the RESs assume the grid-forming role by changing their control loops from CCM to VCM. Under this condition the power generation from RESs needs to be curtailed in order to keep the balance between generation and consumption and ensures the stability of the common bus [39]. Fig.…”

Section: B Ress Operationmentioning

confidence: 99%

A Robot-Soccer-Coordination Inspired Control Architecture Applied to Islanded Microgrids

Díaz

Guarnizo

Mellado

et al. 2017

IEEE Trans. Power Electron.

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Comprehensive review of renewable energy curtailment and avoidance: A specific example in China

Cited by 158 publications

References 41 publications

Multi-Objective Control of Air Conditioning Improves Cost, Comfort and System Energy Balance

Multi-Objective Control of Air Conditioning Improves Cost, Comfort and System Energy Balance

Expansion of offshore HVDC grids: An overview of contributions, status, challenges and perspectives

A Robot-Soccer-Coordination Inspired Control Architecture Applied to Islanded Microgrids

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