open access publication

Article, 2024

Low-Carbon economic scheduling with Demand-Side response uncertainty in regional integrated energy system

International Journal of Electrical Power & Energy Systems, ISSN 0142-0615, 1879-3517, Volume 156, Page 109691, 10.1016/j.ijepes.2023.109691

Contributors

Yan, Ning (Corresponding author) [1] [2] Li, Xiangjun 0000-0003-4996-1593 [3] Wu, Zhongli [1] Shao, Junyan [2] Guerrero, Josep M 0000-0001-5236-4592 [2]

Affiliations

  1. [1] Shenyang University of Technology
    2. [NORA names: China; Asia, East];
  2. [2] Aalborg University
    3. [NORA names: AAU Aalborg University; University; Denmark; Europe, EU; Nordic; OECD];
  3. [3] State Grid Corporation of China (China)
    4. [NORA names: China; Asia, East]

Abstract

Effective mitigation and reduction of carbon emissions is consistently underscored in Regional Integrated Energy Systems (RIES), aligning with the goals of carbon-neutralization. However, the inherent trade-off between carbon emissions reduction and economic operation is an obvious challenge not only in power systems but especially in the coupled electricity-gas-heat energy systems. This paper develops a bi-level low-carbon optimal scheduling model, highlighting reliable operation and the balance of supply and demand of RIESs with demand-response uncertainty. In this paper we firstly redefined the carbon emission of a RIES as a carbon flow and proposed a reward and punishment carbon trading mechanism based on the ladder carbon price. Secondly, we designed an incentive-based demand-side response policy within the subsystem encompassing electricity, gas, and heat. Concurrently, the probability density distribution functions of transferable, replaceable, and interruptible loads are computed separately. Based on the above, the deviation of the load reduction and the actual load is recalculated to delimit the constraint of the demand-side response. Finally, the mechanism of carbon trading and the demand-response is leveraged to address the economic scheduling incorporating operation cost, carbon transaction cost, imbalance costs of supply and demand, and load loss. Simulations demonstrated in the paper prove that the optimal solution with demand-response uncertain may effectively increase the economic performance and reduce carbon emissions of a RIES.

Keywords

actual load, balance, balance of supply, carbon, carbon emission reduction, carbon emissions, carbon flow, carbon price, carbon trading, carbon trading mechanism, carbon transaction cost, carbon-neutral, cost, cost of supplies, demand, demand response, demand response uncertainty, demand-side response, density distribution function, deviation, distribution function, economic operation, economic performance, economic scheduling, effective mitigation, electricity, emission, emission reduction, energy systems, flow, function, gas, goal, goal of carbon-neutrality, heat, imbalance, imbalance costs, inherent trade-off, integrated energy system, interruptible load, ladder, load, load loss, load reduction, loss, low-carbon, mechanism, mechanism of carbon trading, mitigation, model, operating costs, operation, optimal scheduling model, optimal solution, performance, policy, power, power system, price, probability, probability density distribution function, punishment, reduce carbon emissions, reduction, reduction of carbon emissions, region, regional integrated energy system, response, response uncertainty, reward, scheduling, scheduling model, simulation, solution, subsystems, supply, system, trade, trade-offs, trading mechanism, transaction costs, uncertainty

Funders

  • Educational Department of Liaoning Province

Data Provider: Digital Science

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