Open Access

ARTICLE

Energy Economic Dispatch for Photovoltaic–Storage via Distributed Event-Triggered Surplus Algorithm

Kaicheng Liu^1,3, Chen Liang², Naiyue Wu^1,3, Xiaoyang Dong², Hui Yu^1,*
1 China Electric Power Research Institute, Beijing, 100192, China
2 Electric Power Research Institute of State Grid Gansu Electric Power Company, Lanzhou, 730000, China
3 State Key Laboratory of Power Grid Safety, Beijing, 100084, China
* Corresponding Author: Hui Yu. Email:

Energy Engineering https://doi.org/10.32604/ee.2024.050001

Received 24 January 2024; Accepted 19 April 2024; Published online 14 June 2024

Abstract

This paper presents a novel approach to economic dispatch in smart grids equipped with diverse energy devices. This method integrates features including photovoltaic (PV) systems, energy storage coupling, varied energy roles, and energy supply and demand dynamics. The system model is developed by considering energy devices as versatile units capable of fulfilling various functionalities and playing multiple roles simultaneously. To strike a balance between optimality and feasibility, renewable energy resources are modeled with considerations for forecasting errors, Gaussian distribution, and penalty factors. Furthermore, this study introduces a distributed event-triggered surplus algorithm designed to address the economic dispatch problem by minimizing production costs. Rooted in surplus theory and finite time projection, the algorithm effectively rectifies network imbalances caused by directed graphs and addresses local inequality constraints. The algorithm greatly reduces the communication burden through event triggering mechanism. Finally, both theoretical proofs and numerical simulations verify the convergence and event-triggered nature of the algorithm.

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Keywords

Fully distributed algorithm; economic dispatch; directed graph; renewable energy resource

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